Exploring the Role of Maternal-Adult Child Relationship, Early Maladaptive Schemas, and Difficulties in Emotion Regulation in Symptoms of Avoidant/Restrictive Food Intake Disorder

Exploring the Role of Maternal-Adult Child Relationship, Early Maladaptive Schemas, and Difficulties in Emotion Regulation in Symptoms of Avoidant/Restrictive Food Intake Disorder | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Exploring the Role of Maternal-Adult Child Relationship, Early Maladaptive Schemas, and Difficulties in Emotion Regulation in Symptoms of Avoidant/Restrictive Food Intake Disorder Akbari Mehdi, shirin zeinali This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4788390/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 May, 2025 Read the published version in Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity → Version 1 posted 4 You are reading this latest preprint version Abstract Objective AvoidantAvoidant Restrictive Food IntakeIntake Disorder (ARFID) is a relatively new diagnostic classification, and the DSM-5 has called for further studies and evidence in this field. This study explored the role of maternal-adult-child relationship, early maladaptive schemas, and difficulties in emotion regulation in ARFID Symptoms. Methods In this cross-sectional study, 791 college students were selected through cluster random sampling in 2024. This correlational study investigated the role of demographic characteristics, the maternal-adult-child relationship, early maladaptive schemas, and difficulties in emotion regulation in predicting ARFID symptoms and its components: 1) sensory sensitivity, 2) lack of interest in eating and food, and 3) fear of aversive consequences. Results The study revealed a significant negative relationship between the maternal-adult-child relationship and ARFID, while early maladaptive schemas and difficulties in emotion regulation showed a positive relationship. Gender, field of study, maternal-adult-child relationship, emotion regulation difficulties, and early maladaptive schemas were identified as factors in predicting ARFID. Sensory sensitivity, lack of interest in eating or food, and fear of aversive consequences were also significantly predicted. Discussion These findings highlight the intricate connection between parental behaviors and difficulties in emotion regulation in ARFID, emphasizing the importance of considering these components in the identification and treatment of eating disorders, including ARFID. Avoidant Restrictive Food Intake Disorder Early Maladaptive Schema difficulties in emotion regulation Maternal-adult Child Relationship Introduction Avoidant/Restricted Food Eating Disorder (ARFID) is a new diagnostic category in the DSM-5 and ICD-11 (DSM-5; Harm et al., 2013) and ICD-11 (Claudino et al., 2019 ). ARFID is a pattern of eating that limits dietary diversity (e.g., avoiding certain foods) and/or food volume (e.g., small amounts) of a person and is associated with significant medical and psychological effects. To be diagnosed, a person's eating pattern must result in significant negative consequences, such as weight loss, developmental delays, nutritional deficiencies, reliance on tube feeding or energy supplements, or impairment in psychological functions (Thomas & Eddy, 2018 ). ARIFD symptoms are not necessarily linked to intentional weight loss, specific dietary behaviors, or body image disorders and is commonly characterized by sensory sensitivity (e.g., texture, smell, and taste), fear of aversive consequences, (e.g., choking, vomiting, and allergic reactions), or lack of interest in eating or food (i.e., low appetite) (Thomas et al., 2017 ). ARFID, a relatively new diagnostic classification (Bryant-Waugh, 2019 ), has a prevalence rate of 0.3–4.1% in adults (Dunford & Thomas, 2024 ). Unlike other eating disorders, it affects both men and women equally (Kerna et al., 2024 ). Even though ARFID is acknowledged as a unique clinical condition, not much is known about it overall (Bourne et al., 2020 ).Coglan and Otasowie ( 2019 ) has proposed three categories of predisposing, precipitating, and perpetuating factors in this disorder. Dinkler et al. ( 2022 ) emphasize the role of heredity as a predisposing factor in their study. Cunliffe et al. ( 2022 ) also suggest that parental factors should be considered when providing support. Accordingly, it seems that parenting factors and parent-child relationships play a role in the onset (Gruber et al., 2020 ) and persistence of eating problems, Kerzner et al. ( 2015 ) believe that family therapy is effective in reducing ARFID symptoms, that the family meals of these children are accompanied by tension, and parents are hesitant between pushing the child and letting him go because the child cannot eat from the foods that other family members are eating (Thomas & Eddy, 2018 ). Brytek-Matera et al. ( 2022 ) suggest that mothers' eating style and eating disorder symptoms are linked to ARFID symptoms in children. They found that mothers use food as reinforcement in raising children with ARFID symptoms, as food is not satisfactory for these children. Saravia et al. ( 2022 ) also found that family meals for children with ARFID are boring and stressful, reinforcing their behaviors. Also, Waller ( 2004 ) states that early maladaptive schemas (EMS), as representative of the parental pattern, are associated with eating problems (Sójta & Strzelecki, 2023 ). The schema approach focuses on EMS, schema states, and coping strategies. Schemas develop in early life and stem from unmet emotional needs such as love and care, safety, acceptance, autonomy, setting limits, etc in childhood and adolescence (Young et al., 2003 ). The Waller ( 2004 ) schema model suggests that eating disorders are linked to dysfunctional behavior related to food consumption. Overweight and obesity may trigger dysfunctional eating attitudes as a coping mechanism for stress or negative emotions associated with the schema activation (Basile et al., 2019 ). Also, Güler and Özgörüş ( 2022 ) shows that there is a significant relationship between shame/defectiveness, emotional inhibition, failure, abandonment, dependence/incompetence, and vulnerability to harm or illness with eating attitude, failure abandonment schema predict negative attitude to eating significantly. In this regard, Pauwels et al. ( 2016 ) found that patients with bulimia had higher scores in maladaptive schemas of insufficient self-control and emotional deprivation, while those with ARFID scored higher in social undesirability, failure to achieve, subjugation, and unrelenting standards. De Paoli et al. ( 2017 ) also showed that insecure attachment disconnection and rejection domain of maladaptive schema (especially emotional deprivation and abandonment) were associated with eating disorders. The relationship between emotional deprivation schema and eating problems (Pauwels et al., 2016 ) refers to the role of difficulty in emotion regulation and eating problems (Leppanen et al., 2022 ). Gratz and Roemer ( 2004 ) propose an integrated conceptualization of emotion regulation that includes not only the modulation of emotional arousal, but also the awareness, perception and acceptance of emotions, and the ability to act in arbitrary ways regardless of the emotional state and difficulties in emotion regulation refers to difficulties in emotion awareness, clarity, and acceptance, as well as managing regulation strategies, goals, and impulses during emotional experiences. Gratz and Roemer ( 2004 ) propose a comprehensive view of difficulties in emotion regulation, encompassing modulation of emotional arousal, perception and acceptance of emotions, and the ability to act independently of emotional state. Difficulties in emotion regulation involves difficulties in awareness, clarity, acceptance, and managing regulation strategies, goals, and impulses. Children with ARFID symptoms are more likely to have emotional and behavioral problems such as anxiety, withdrawal/depression, attention, physical/social problems, and ASD/OCD characteristics (Sader et al., 2023 ). The link between ARFID and emotional undereating has been reported (Dinkler et al., 2022 ), suggesting a relationship between eating behavior and emotional problems (Sader et al., 2023 ). Inconsistent learned responses to emotional problems may partly cause ARFID, and it shares similarities with anxiety disorders(Feillet et al., 2019 ). It sould be note that, difficulties in emotion regulation is proposed in 6 dimensions by Gratz and Roemer ( 2004 ), including lack of awareness and clarity of emotional responses, nonacceptance of emotions, limited access to effective regulation strategies, difficulties controlling impulses, and engaging in goal-directed behaviors during negative emotions. Research suggests that eating for comfort and distraction can regulate emotions and alleviate unpleasant feelings. This tendency is linked to a preference for sweet and fatty foods. Difficulty in emotion regulation is associated with restrictive eating behaviors, and limited access to emotion regulation strategies is linked to dietary restriction (Mikhail & Kring, 2019 ; Schnepper et al., 2020 ). The present study Heterogeneity in clinical samples of ARFID suggests a relationship between underlying mechanisms (Bourne et al., 2020 ). There are few studies on the etiology of ARFID, particularly in correlation variables of emotion and parenting. Little research has been done on the association of EMS, parent-child relationships, and emotion regulation with eating disorders, specifically ARFID. This study aims to explore the role of maternal-adult-child relationship, EMS, and difficulties in emotion regulation in ARFID symptoms. Further research is needed to understand the onset and continuity of ARFID. Therefore, The hypothesis of the present study will be as follows: 1- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict ARFID. 2- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict sensory sensitivity. 3- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict lack of interest in food or eating. 4- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict fear of aversive consequences. Method Participants and Procedure In this descriptive-correlational study, 800 students from a major university in the northwest of Iran (Urmia University) were selected by random cluster sampling and finally 791 questionnaires were entered into the analysis, 9 questionnaires were excluded from the analysis process due to incomplete answers. 74.8% of participants were female and 25.2% were male. The mean age for the total sample was 21.3 (SD = 2.26); it was 21.4 (SD = 2.34) for females, and it was 21.1 (SD = 1.97) for male participants. Regarding marital status, 8.8% were married, and the remaining were single. In their field of study, 61.3%, 31.7%, 4.2%, and 2.8% were studying humanities, science, art, and engineering, respectively. For the implementation of questionnaires, the participants' names and surnames were not requested to increase the validity and reliability of the data collection tool and were told about them the purpose of the study. All procedures used in studies involving human subjects follow the national research committee’s ethical standards, the 1964 Declaration of Helsinki and its revisions or the American Psychiatric Association (2013). Full informed consent was given to participants of this study. The ethical principles of the process of implementation and selection of students have been reviewed and approved by the members of the Department of Psychology of Urmia University during the minutes of the meeting. Measures Restricted Avoidance Food Intake Questionnaire (RAFIQ) This measure designed by Zickgraf and Ellis ( 2018 ), it consists of 9 questions and three subscales (sensory sensitivity, fear of hurtful consequences, and lack of interest in eating or food) and is scored as Likert (totally disagree = 1 to totally agree = 6). Cronbach's alpha was reported to be (0.90) for the entire scale, sensory sensitivity (0.87) (eg, I am a picky eater), fear of aversive consequences (eg, I avoid or put off eating because I am afraid of GI discomfort, choking, or vomiting) (0.93), and lack of interest in eating or food (eg, I am not very interested in eating; I seem to have a smaller appetite than other people) (0.87). In this study, Cronbach's alpha was for the entire scale (0.85), sensory sensitivity (0.87), fear of aversive consequences (0.80), and lack of interest in eating or food (0.78). Maternal-adult child relationship The Parent-Child Relationship Assessment Questionnaire (PCRS) was developed by Kerzner B (2015) and consisted of 24 items used to measure the quality of parent-adult-child relationship. The questionnaire scoring is based on a 7-point Likert spectrum. Items 9, 13, and 14 are scored inversely. Components of the questionnaire included positive affect (eg,time spent with mother), resentment/role confusion (eg, clarity of mother , s role), identification(eg,desire to be like mother), and communication(eg, ease to talking about problem). Cronbach's alpha for the whole questionnaire was (0.96), with positive affect (0.94), resentment/role confusion (0.61), identification (0.84), and communication (0.88) in 241 students. In this study, Cronbach's alpha was for the entire scale (0.91), positive affect (0.93), resentment/role confusion (0.51), identification (0.67), and communication (0.89). difficulties in emotion regulation The Difficulty in Emotion Regulation Scale (DERS) was developed by (Gratz & Roemer, 2004 ) and has 36 items and six factors: Nonacceptance of Emotional Responses (6 questions, eg, When I’m upset, I feel guilty for feeling that way), Difficulties Engaging in Goal-Directed (5 questions, eg, When I’m upset, I have difficulty concentrating), Impulse Control Difficulties (6 items, eg, When I’m upset, I lose control over my behaviors.), Limited Access to Emotion Regulation Strategies (8 items, eg, When I’m upset, I believe that I’ll end up feeling very depressed), Lack of Emotional Awareness (6 items, eg, I am attentive to my feelings) and lack of emotional clarity (5 items, eg, I have no idea how I am feeling.). Scores range from 1 (almost never) to 5 (almost always), and questions 1, 2، 6, 7, 8, 10, 17, 20, 22, 24, and 34 are scored inversely, and the high scores indicate greater difficulty in emotion regulation, with scores ranging from 36 to 180 (Gratz & Roemer, 2004 ). reported internal consistency of 0.93 for the whole scale and 0.85, 0.89, 0.86, 0.80, 0.88, and 0.80 for subscales, respectively. In this study, Cronbach's alpha for the whole questionnaire and subscale were 0.89, 0.81, 0.72, 0.70, 0.70, 0.81, and 0.67, respectively. Early maladaptive schemas The Young Schema Questionnaire - Short Form (YSQ-SF) is a 75-item questionnaire designed by Young in 1998 to assess 15 different schemas. Participants use a 6-point Likert scale to rate items, and each scale consists of five items. The 15 schemas include emotional deprivation, abandonment/instability, mistrust/abuse, social isolation, defectiveness/shame, failure, dependence/incompetence, vulnerability to harm or illness, enmeshment, subjugation, self-sacrifice, emotional inhibition, unrelenting standards/hyper criticalness, entitlement, and insufficient self-control/self-discipline. Higher scores on the questionnaire indicate a greater presence of maladaptive schemas for the respondent. In the Welburn et al. ( 2002 ) study, the overall Cronbach's alpha for the questionnaire subscales were from 0.76 to 0.93, in this study Cronbach's alpha for the questionnaire was 0.95, and the individual subscales had alphas ranging from 0.70 to 0.86. The YSQ-SF is a useful tool for assessing maladaptive schemas and can provide insights into a person's thought patterns and beliefs. Data analysis Statistical analysis was conducted using Jamovi, an R language-based software (version 2.3.28). The underlying assumptions of regression analysis were examined to ensure the feasibility of testing the research hypotheses. The absence of autocorrelation in the data set was examined with the Durbin-Watson (DW) test, and this assumption was met ( DW statistic = 2., p = .924). The absence of multicollinearity was also examined. The variance inflation factor (VIF, ranging from 1.29 to 2.60) and its corresponding tolerance value (ranging from .36 to .66) were in the desired range as the VIFs are less than ten and the tolerance values are above .25; thus, this assumption also was met. The Cook’s distance was used to ensure the absence Of influential outliers, and given that the mean value (mean = 0.001, standard deviation = 0.002) for this index was below .50, there was no evidence of influential outliers. Normality was also tested using the skewness (ranging from − 0.01 to 1.06) and kurtosis (ranging from − 0.01 to 0.78) indices, and given that the values were not outside of the desired range of -3 to + 3, the normal distribution of the data can be concluded. Also, a visual inspection of the residuals by Q-Q plot shows that the data are homoscedastic. Finally, the assumption of linearity (null residual) was also tested by plotting the residuals to the fitted value, and it was found to be satisfactory. Results Correlates of ARFID symptoms Table 1 represents the variable of interest’s dispersion indices and Pearson correlation matrix. As seen, maternal-adult child relationship was negatively and significantly associated with ARFIDS r (799) = − .09, and all maladaptive schemas r s (799) = .08 to .30, and difficulties in emotion regulation r (799) = .24 were positively and significantly associated with ARFIDS. Table 1 Mean, standard deviation, and Pearson correlation matrix (N = 791). x̄ SD 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 1 21.23 8.96 -- 2 125.67 25.86 − .092** -- 3 89.71 20.13 .243** − .277** -- 4 12.46 6.04 .237** − .381** .404** -- 5 13.51 5.96 .151** − .118** .389** .371** -- 6 13.93 5.77 .196** − .273** .386** .489** .429** -- 7 13.31 5.93 .286** − .258** .434** .492** .373** .629** -- 8 10.56 5.65 .275** − .238** .492** .470** .405** .459** .634** -- 9 10.37 5.11 .214** − .281** .432** .402** .403** .409** .491** .585** -- 10 10.34 5.26 .242** − .179** .420** .320** .399** .375** .473** .582** .657** -- 11 10.91 5.67 .300** − .198** .409** .314** .365** .486** .509** .581** .548** .602** -- 12 11.20 5.18 .254** − .104** .383** .288** .414** .454** .415** .451** .492** .595** .587** -- 13 10.84 5.40 .211** − .210** .440** .370** .436** .413** .489** .588** .567** .669** .608** .630** -- 14 15.65 5.19 .083* -0.045 .092** .242** .293** .244** .229** .140** .172** .160** .216** .261** .347** -- 15 13.73 5.88 .228** − .237** .420** .387** .313** .446** .532** .434** .418** .323** .388** .327** .393** .289** -- 16 17.32 5.96 .162** − .096** .131** .194** .206** .314** .311** .117** .149** .076* .168** .196** .138** .417** .402** -- 17 16.28 5.79 .207** − .229** .220** .219** .256** .358** .336** .178** .206** .158** .241** .275** .210** .351** .403** .570** -- 18 14.32 5.27 .184** − .217** .375** .326** .327** .352** .359** .303** .378** .332** .321** .377** .415** .376** .452** .406** .538** -- Note. Below and above the diagonal line represents the correlations across females and males, respectively; Maladaptive schemas: 1 = ARFID symptoms; 2 = maternal-ault child relationship; 3 = difficult in emotion regulation; 4 = emotional deprivation; 5 = abandonment/instability; 6 = mistrust/abuse; 7 = social isolation; 8 = shame/defectiveness; 9 = failure; 10 = dependence/incompetence; 11 = vulnerability to harm or illness; 12 = enmeshment; 13 = subjugation; 14 = self-sacrifice; 15 = emotional inhibition; 16 = unrelenting standards/hyper criticalness; 17 = entitlement; 18 = insufficient self-control/self-discipline; two-tailed significance: *<0.05, ** <0.01 Hierarchical regression analysis In order to examine the contribution of parantal-adult child relationship, EMS, and difficulties in emotion regulation, a hierarchical regression analysis was performed. Table 2 presents the results for predicting ARFIDS scores from age, gender, field of study, marital status [step 1], Maternal-adult child relationship [step 2], difficulties in emotion regulation [step 3], and EMS [step 4]. Table 2 Hierarchical regression analysis on ARFID symptoms as a dependent variable (N = 791). Predictor β Ll Ul T-value R R 2 Adjusted R 2 ∆ R 2 Step 1 0.19 0.04 0.03 -- Age 0.01 -0.07 0.07 0.03 Gender (Female vs male) -0.17* -0.33 -0.01 -2.11 Field of study (humanities vs. science) -0.37* -0.52 -0.22 -4.81 Marital status -0.21 -0.46 0.04 -1.63 Step 2 0.23 0.05 0.04 0.01 Age 0.01 -0.07 0.08 0.12 Gender (Female vs male) -0.19* -0.35 -0.03 -2.35 Field of study (humanities vs. science) -0.35* -0.51 -0.20 -4.61 Marital status -0.23 -0.48 0.02 -1.79 Positive affect 0.01 -0.19 0.20 0.06 Resentment/role confusion -0.08 -0.17 0.00 -1.95 Identification 0.08 -0.02 0.18 1.56 Communication -0.10 -0.27 0.07 -1.12 Step 3 0.35 0.12 0.10 0.07 Age 0.01 -0.06 0.08 0.25 Gender (Female vs male) -0.17* -0.32 -0.01 -2.07 Field of study (humanities vs. science) -0.33* -0.48 -0.19 -4.49 Marital status -0.23 -0.48 0.01 -1.89 Positive affect -0.01 -0.19 0.18 -0.10 Resentment/role confusion -0.01 -0.09 0.08 -0.20 Identification 0.07 -0.03 0.17 1.45 Communication -0.06 -0.23 0.11 -0.70 Nonacceptance of emotional responses 0.03 -0.07 0.12 0.58 Difficulty engaging in goal-directed behavior -0.08 -0.17 0.02 -1.61 Impulse control difficulties, 0.11* 0.01 0.20 2.23 Lack of emotional awareness -0.10* -0.18 -0.02 -2.55 Limited access to emotion regulation strategies 0.18* 0.07 0.29 3.24 Lack of emotional clarity 0.08 -0.01 0.17 1.73 Step 4 0.45 0.20 0.17 0.07 Age 0.02 -0.05 0.08 0.50 Gender (Female vs male) -0.17* -0.33 -0.02 -2.21 Field of study (humanities vs. science) -0.29* -0.44 -0.15 -4.00 Marital status -0.18 -0.42 0.05 -1.51 Positive affect -0.07 -0.25 0.11 -0.74 Resentment/role confusion -0.02 -0.11 0.06 -0.53 Identification 0.10* 0.00 0.20 2.03 Communication 0.06 -0.11 0.22 0.68 Nonacceptance of emotional responses 0.00 -0.09 0.10 0.07 Difficulty engaging in goal-directed behavior -0.06 -0.15 0.03 -1.23 Impulse control difficulties, 0.07 -0.02 0.17 1.54 Lack of emotional awareness -0.11* -0.19 -0.02 -2.56 Limited access to emotion regulation strategies 0.09 -0.02 0.20 1.64 Lack of emotional clarity 0.03 -0.06 0.12 0.74 Emotional deprivation 0.14* 0.05 0.22 3.11 Abandonment/instability -0.05 -0.13 0.03 -1.20 Mistrust/Abuse -0.09 -0.19 0.00 -1.91 Social isolation 0.09 -0.01 0.19 1.73 Shame/defectiveness 0.05 -0.06 0.15 0.90 Failure -0.05 -0.14 0.05 -0.96 Dependence/incompetence 0.03 -0.07 0.14 0.59 Vulnerability to harm or illness 0.17* 0.07 0.27 3.49 Enmeshment 0.08 -0.01 0.17 1.67 Subjugation -0.06 -0.16 0.05 -1.03 Self-sacrifice -0.06 -0.14 0.02 -1.54 Emotional inhibition 0.04 -0.05 0.13 0.88 Unrelenting standards/hypercriticalness 0.04 -0.05 0.12 0.82 Entitlement 0.11* 0.02 0.20 2.32 Insufficient self-control/self-discipline -0.03 -0.12 0.05 -0.76 Note . Given the higher proportion of female participants (vs. male) and students in the humanities field (vs. science), they were considered as the reference groups. Other fields of study were not reported due to their insignificant statistical value. *<0.05 Table 3 Multiple regression analysis on three dimensions of ARFID symptoms (N = 791). Symptoms Predictors Sensory sensitivity Lack of interest Fear of aversive consequences β Ll Ul T-value β Ll Ul T-value β Ll Ul T-value Age -0.02 -0.09 0.05 -0.48 0.03 -0.04 0.10 0.83 0.03 -0.04 0.10 0.88 Gender (Female vs male) -0.11 -0.27 0.05 -1.38 -0.20* -0.35 -0.04 -2.47 -0.11 -0.26 0.05 -1.34 Field of study (humanities vs. science) -0.24* -0.39 -0.09 -3.15 -0.23* -0.38 -0.09 -3.13 -0.24* -0.39 -0.09 -3.17 Marital status -0.20 -0.45 0.04 -1.63 -0.18 -0.42 0.06 -1.48 -0.05 -0.29 0.20 -0.38 Positive affect -0.03 -0.21 0.16 -0.26 -0.09 -0.27 0.10 -0.92 -0.05 -0.24 0.13 -0.57 Resentment/role confusion 0.02 -0.06 0.11 0.51 -0.05 -0.14 0.03 -1.17 -0.03 -0.12 0.06 -0.64 Identification 0.02 -0.09 0.12 0.32 0.10 0.00 0.20 1.93 0.14* 0.04 0.24 2.67 Communication 0.01 -0.16 0.18 0.07 0.05 -0.12 0.21 0.55 0.09 -0.08 0.26 1.03 Nonacceptance of emotional responses -0.04 -0.13 0.06 -0.78 0.00 -0.09 0.09 0.01 0.05 -0.04 0.15 1.06 Difficulty engaging in goal-directed behavior 0.01 -0.08 0.11 0.22 -0.10* -0.19 -0.01 -2.03 -0.05 -0.15 0.04 -1.12 Impulse control difficulties, 0.07 -0.02 0.17 1.51 0.06 -0.03 0.16 1.32 0.04 -0.06 0.13 0.76 Lack of emotional awareness -0.08 -0.16 0.01 -1.76 -0.12* -0.20 -0.04 -2.81 -0.06 -0.14 0.02 -1.44 Limited access to emotion regulation strategies 0.05 -0.06 0.17 0.93 0.09 -0.02 0.21 1.62 0.08 -0.04 0.19 1.34 Lack of emotional clarity -0.02 -0.11 0.08 -0.35 0.08 -0.01 0.17 1.69 0.02 -0.07 0.11 0.39 Emotional deprivation 0.16* 0.07 0.25 3.61 0.09* 0.00 0.18 2.05 0.07 -0.02 0.16 1.59 Abandonment/instability -0.05 -0.13 0.03 -1.21 -0.08 -0.16 0.01 -1.83 0.01 -0.07 0.10 0.34 Mistrust/Abuse -0.13* -0.23 -0.03 -2.64 -0.05 -0.14 0.05 -0.99 -0.04 -0.14 0.06 -0.80 Social isolation 0.13* 0.02 0.24 2.42 0.14* 0.04 0.25 2.69 -0.07 -0.17 0.03 -1.31 Shame/defectiveness -0.01 -0.12 0.10 -0.20 -0.02 -0.13 0.08 -0.39 0.16* 0.05 0.27 2.96 Failure -0.04 -0.14 0.06 -0.87 -0.07 -0.17 0.03 -1.42 0.01 -0.09 0.10 0.11 Dependence/incompetence 0.02 -0.09 0.13 0.37 0.08 -0.02 0.19 1.52 -0.03 -0.14 0.07 -0.60 Vulnerability to harm or illness 0.14* 0.04 0.24 2.79 0.06 -0.03 0.16 1.27 0.22* 0.12 0.32 4.35 Enmeshment 0.09 -0.01 0.18 1.76 0.06 -0.03 0.16 1.26 0.04 -0.05 0.14 0.86 Subjugation -0.08 -0.19 0.03 -1.48 -0.02 -0.12 0.09 -0.31 -0.03 -0.14 0.08 -0.61 Self-sacrifice 0.00 -0.08 0.08 -0.06 -0.06 -0.14 0.02 -1.48 -0.09* -0.18 -0.01 -2.23 Emotional inhibition 0.02 -0.07 0.11 0.38 0.06 -0.03 0.14 1.24 0.02 -0.07 0.11 0.43 Unrelenting standards/hypercriticalness 0.03 -0.06 0.12 0.70 0.05 -0.04 0.14 1.13 0.00 -0.08 0.09 0.06 Entitlement 0.07 -0.03 0.16 1.43 0.10* 0.01 0.19 2.12 0.09* 0.00 0.18 1.97 Insufficient self-control/self-discipline 0.02 -0.07 0.11 0.37 -0.02 -0.10 0.07 -0.34 -0.09* -0.18 -0.01 -1.97 Note . Given the higher proportion of female participants (vs. male) and students in the humanities field (vs. science), they were considered as the reference groups. Other fields of study were not reported due to their insignificant statistical value. *<0.05 The results indicated that in the first step, only gender and field of study significantly predicted ARFIDS, F (6, 784) = 5.93, p < .01, explaining a 3.9% of the ARFIDS variance, and model fit measures were AIC = 5697, BIC = 5734, and RMSE = 8.78. The addition of maternal-child relationship (step 2) resulted in a significant regression equation, F (10, 780) = 4.39, p < .001, explaining an extra 1.3% of the variation in ARFIDS, which was significant (∆ F (4, 780) = 2.81, p = .02), the model fit measures were AIC = 5694, BIC = 5750, and RMSE = 8.71, and the effect-size for the addition of step 2 was Cohen’s f 2 = 0.01. Of maternal-adult child relationship in step 2, only resentment/role confusion was marginally significant ( T -value = 1.95). The inclusion of difficulties in emotion regulation (step 3) produced a significant equation, F (16, 774) = 7.01, p < .001, accounting for an additional 7.3% of the variation explained in ARFIDS scores, which was significant (∆ F (6, 774) = 10.82, p = .01), the model fit measures were AIC = 5642, BIC = 5726, and RMSE = 8.37, and the effect-size for the addition of step 3 was Cohen’s f 2 = 0.06. The difficulties in emotion regulation in step 3, impulse control difficulties, lack of emotional awareness, and limited access to emotion regulation strategies were significant. Finally, the addition of the EMS (step 4) resulted in a significant equation, F (31, 759) = 6.21, p < .001, accounting for an additional 7.6% of the variation in ARFIDS scores, which was also significant (∆ F (15, 759) = 4.85, p = .01), the model fit measures were AIC = 5599, BIC = 5754, and RMSE = 7.99, and the effect-size for the addition of step 4 was Cohen’s f 2 = 0.09. Of EMS in step 4, emotional deprivation, vulnerability to harm or illness, and entitlement schemas were significant. The final model (step 4) had superior fit metrics (lower AIC and RMSE and not for BIC) than earlier models (steps 1, 2, and 3) and predicted a 17% variance in ARFIDS scores. According to Cohen’s f 2 , the order of variables by their importance in predicting ARFIDS in the final step was EMS (emotional deprivation, vulnerability to harm or illness, and entitlement), difficulties in emotion regulation (lack of emotional awareness), demographics (gender and field of study), and maternal-adult child relationship (identification), respectively. Multiple regression analysis Here, we have performed further analysis to explore the role of studied variables in explaining the variance in different ARFIDS symptoms using multiple regression models across its three Dimensions: i.e. sensory sensitivity, lack of interest, and fear of aversive consequences. The first model for predicting sensory sensitivity was significant F (31, 759) = 4.26, p < .001, which explained significant variance in the score of sensory sensitivity ( R 2 = 14.8, adjusted R 2 = 11.3). In predicting sensory sensitivity, the field of study (negative coefficient for humanities and positive coefficient for science) and EMS (emotional deprivation, mistrust/abuse, social isolation, and vulnerability to harm or illness) were significant. The second model for predicting lack of interest was significant as well, F (31, 759) = 5.22, p < .001, which explained significant variance in scores of lack of interest ( R 2 = 17.6, adjusted R 2 = 14.2). In predicting lack of interest, gender, field of study (negative coefficient for humanities and positive coefficient for science), difficulties in emotion regulation (difficulty engaging in goal-directed behavior and lack of emotional awareness), and EMS (emotional deprivation, social isolation, and entitlement) were significant. Finally, the third model for predicting fear of aversive consequences was also significant F (31, 759) = 4.67, p < .001, which explained significant variance in scores of fears of aversive consequences ( R 2 = 16, adjusted R 2 = 12.6). In predicting fear of aversive consequences, the field of study (negative coefficient for humanities and positive coefficient for science), maternal-adult child relationship (identification), and EMS (shame/defectiveness, vulnerability to harm or illness, self-sacrifice, entitlement, and insufficient self-control/self-discipline), were significant. Discussion ARFID is a relatively new diagnostic class and DSM-5 has called for further studies and evidence in its field. Considering the need for further studies in the field of this disorder, the aim of this study was to answer these questions: 1- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict ARFID. 2- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict sensory sensitivity. 3- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict lack of interest in food or eating. 4- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict fear of aversive consequences. In this study, we investigated the role of maternal-adult-child relationship, EMS, and difficulties in emotion regulation in ARFID symptoms. The results showed that the maternal-adult-child relationship has a significant negative relationship with ARFID, and EMS and difficulty in emotion regulation have a significant positive relationship with ARFID. Based on the results of stepwise regression, gender, the field of study, maternal-adult Child relationship (only resentment/role confusion), difficulties in emotion regulation (impulse control difficulties, lack of emotional awareness, and limited access), and EMS (emotional deprivation, vulnerability to harm or illness, and entitlement schemas) play a significant role in ARFID prediction. Our findings aligns with Coglan and Otasowie ( 2019 ), Mitchell et al. ( 2013 ), Laporta-Herrero et al. ( 2021 ) and Pelletier Brochu et al. ( 2018 ) suggesting that eating disorders are strongly linked to the quality of the relationship between mother and father. Maternal depressive symptoms are linked to unresponsive and controlling feeding practices, correlate with ARFID (Kerna et al., 2024 ). The parental footprint in EMS can also influence perceptions of parental role and schema, such as impulsive deprivation and entitlement. Defects in early parent-child relationships and traumatic cognition from parents can be associated with ARFID. No studies have explored the link between emotion regulation and ARFID in adulthood. However, children with ARFID symptoms often experience negative emotions or reduced eating in stressful situations (Sader et al., 2023 ). Given that children with ARFID symptoms experience more emotional and behavioral problems, the relationship between eating behavior and emotional problems is also reaffirmed, i.e., ARFID is, in part, due to incompatible learned responses to emotional problems. Along with parenting, Individuals with eating disorders, particularly ARFID, struggle with emotion regulation, as found by (Dinkler et al., 2022 ) and (Haynos et al., 2018 ). Restrictive eating is linked to emotion management in these individuals, and they may have difficulty accessing and controlling their emotions. Iron-Segev et al. ( 2020 ) also suggest that children with ARFID may have more emotional and social problems, a criterion of DSM-5-related eating and nutrition problems (DSM-5; Harm et al., 2013). Among the interesting findings of our study were the prominent role of gender (negative coefficient for females and positive coefficient for males) and field of study (negative coefficient for humanities and positive coefficient for science) in predicting ARFID. Studies have shown that the prevalence of ARFID is equal in both genders (Kerna et al., 2024 ). Speculative at the moment, the role of gender might be explained by that this study was conducted in non-clinical samples, extensive studies are needed to interpret demographic variables. Predictors of sensory sensitivity One of the components of ARFID is sensory sensitivity. The field of study and EMS (emotional deprivation, mistrust/abuse, social isolation, and vulnerability to harm or illness) had a significant role in predicting sensory sensitivity. Along with our findingFinistrella et al. ( 2024 ) found that cognitive schemas about new foods are linked to noephobic reactions, while. Tuorila and Mustonen ( 2010 ) suggest that lack of interest in trying new foods leads to negative schemas. De Paoli et al. ( 2017 ) link insecure attachment and maladaptive schema, particularly emotional deprivation, to eating problems. Zhang et al (2024) suggest social isolation schemas can lead to maladaptive eating behaviors. Speculative at the moment, people who have sensory sensitivities and avoid eating a variety of foods are likely to have a vulnerability to harm or illness schema that makes them sensitive to trying new foods, of course, the role of the mistrust schema to try new tastes and textures is also highlighted. However, predictive variables had less of a role in predicting sensory sensitivity, it seems that this component is mainly influenced by heredity and sensory threshold of taste buds (Thomas & Eddy, 2018 ). Considiring biological ability, such people become suspicious or disgusted by new foods. Unoka et al. believe that schemas play an important role in the development and maintenance of eating disorders. Early stimuli contribute to the development of sensorineural pathways and shape sensory processing style, impacting taste and texture responses. These experiences affect eating habits (Łoboś & Januszewicz, 2019 ), improving food choices and lifelong eating habits. Predictors of lack of interest in food or eating In this study, we investigated the role of emotional and parental variables in predicting another component of ARFID, i.e., lack of interest in food or eating. Gender, field of study (negative coefficient for humanities and positive coefficient for science), difficulties in emotion regulation (difficulty engaging in goal-directed behavior and lack of emotional awareness), and EMS (emotional deprivation, social isolation, and entitlement) were significant in the predicting of this variable. In the present study, gender (male) played a significant role in predicting lack of interest in eating or food, ARFID is a new diagnostic disorder, in some studies the prevalence has been reported in both gender equally (Hay et al., 2017 ), and the demographic findings need to be examined more closely. Along with our finding, Adolescents who experience restrictive parental feeding behaviors may not be aware of their feelings, and cope with unpleasant emotions by eating (Romano & Heron, 2021 ). Haynos et al. ( 2018 ) explain that hunger itself acts as an emotion regulation strategy that reduces inner experience and outward expression of emotions, leading individuals to rely on hunger as their only emotion regulation strategy over time due to its numbing effect (Oldershaw et al., 2019 ). People experiencing a lack of appetite may fear feeling bloated and nauseous after eating, leading to irregular eating habits and limited food intake. They may not anticipate enjoying meals and may skip them altogether. The findings support the EMS theory for eating disorders, linking EMS related to disconnection, rejection, impaired limits, and overvigilance to disturbed eating behaviors like food addiction and overeating. The role of schema in eating behaviors may be due to unmet early needs, leading to emotional distress and a need for control (Gerges et al., 2022 ). Schemas such as emotional deprivation and social isolation may contribute to a lack of interest in eating, as individuals try to satisfy their basic needs while maintaining independence and non-dependence on others. Predictors of fear of aversive consequences Also, in this study, the field of study (negative coefficient for humanities and positive coefficient for science), maternal-adult child relationship (identification), and EMS (shame/defectiveness, vulnerability to harm or illness, self-sacrifice, entitlement, and insufficient self-control/self-discipline), variables had a significant role in predicting fear of aversive consequences and interestingly, difficulty in emotion regulation had no significant role in the component, and this contradicts the current literature on the role of emotion regulation in fear of aversive consequences (Sader et al., 2023 ). Along our finding, Güler and Özgörüş ( 2022 ) shows that there is a significant relationship between shame/defectiveness, emotional inhibition, failure, abandonment, dependence/incompetence, vulnerability to harm or illness with eating attitude, failure abandonment schema predict negative attitude to eating significantly. Gerges et al. ( 2022 ) believes that that maladaptive schemas, particularly those related to disconnection and rejection, impaired autonomy and performance, and other-directedness, have a direct impact on eating behaviors. Aloi et al. ( 2019 ) stated that the defectiveness schema plays an important role in severity of binge eating in individuals with binge eating disorder. Furthermore, it is linked to the severity of binge eating in individuals with binge eating disorder. Individuals develop their attitudes towards food based on social pressures, such as the need for approval and desire to appear attractive to others, leading to negative eating attitudes. There were no studies on the role of parent-child relationship and fear of aversive consequences, but similar studies can be mentioned. Maternal attachment anxiety has been linked to emotional bulimia in children (Hardman et al., 2016 ), while control of feeding behaviors, such as authoritarian feeding, pressure to eat, and restriction, has been linked to undesirable eating patterns in preschool children (Moroshko & Brennan, 2013 ). Perception of poor maternal care is also linked to emotional eating in young adults (Ergang et al., 2019 ). In addition, it has been found that mothers of children with eating disorders experience higher levels of fear of participating in treatment, which can affect their self-efficacy and behaviors (Stillar et al., 2023 ). Limitations and future directions The present study had some limitations; this study is a cross-sectional study, and longitudinal studies for causal inference are recommended. our study was cross-sectional, it is not possible to determine whether people's problematic eating behaviors may be caused by parents' problematic eating patterns or whether long-term eating disorders in children may increase parent-adoult child relationship. The groups of students assessed in this study may not represent the entire population since ARFID can occur at any age. The findings of the present study are not generalizable to childhood or adolescence, as more children spend time with parents during childhood and adolescence, and parental influence on children's eating behaviors is greater. The present study has not been done on people with a clinical diagnosis of ARFID. Therefore, it is suggested that in future studies, the relationships of variables in different ages, individuals, and cultures, as well as in people with clinical diagnoses, also be carried out, and fathers and their relationships with children should be investigated. Considering the lack of predictability of the fear of disturbing consequences based on difficulty in emotion regulation, it is suggested that more research be conducted in this field. Longitudinal studies on the role of EMS, difficulty in emotion regulation, and parent-child relationship with ARFID are suggested. Clinical Implications Considering the different role of variables in predicting the ARFID components, it is suggested that schema related interventions should be considered more in the treatment for the sensory sensitivity component. In the interventions related to lack of interest in eating or food, interventions related to EMS and emotion management should be considered, and in the field of fear of aversive consequences, attention should be paid to improving parent-child relationships and interventions related to schemas. Declarations Conflicts of interest: None to declare. Data availibilty datasets and/or analysis during the current study will be provided upon request from the relevant author. Funding: None to declare. Author Contribution Shirin Zeinali: Topic SuggestionData Collectionwrote the main manuscript text Mehdi Akbari:Statistical Analysis Monitoring Final Editing References Aloi, M., Rania, M., Caroleo, M., Carbone, E.A, Fazia, G., Calabrò, G., Segura-Garcia, C. . (2019). How are early maladaptive schemas and DSM-5 personality traits associated with the severity of binge eating? Journal of Clinical Psycholgy.76 (3), 539-548. doi: 10.1002/jclp.22900 Basile, B., Tenore, K., & Mancini, F. (2019). 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JAACAP Open , 1 (2), 116-127. doi: 10.1016/j.jaacop.2023.05.001 Saravia, S., Díaz-Castrillón, F., Cruzat-Mandich, C., Lizana-Calderón, P., Gómez, D., & Corona, F. (2022). Parental feeding strategies in children with Avoidant/Restrictive Food Intake Disorder (ARFID): Association with food refusal behavior. Andes Pediatrica: Revista Chilena de Pediatria , 93 (6), 851-859. doi: 10.32641/andespediatr.v93i6.3903. Schnepper, R., Georgii, C., Eichin, K., Arend, A.-K., Wilhelm, F. H., Vögele, C., Lutz, A. P., van Dyck, Z., & Blechert, J. (2020). Fight, flight,–or grab a bite! trait emotional and restrained eating style predicts food cue responding under negative emotions. Frontiers in behavioral neuroscience , 14 , 91. https://doi.org/10.3389/fnbeh.2020.00091 Sójta, K., & Strzelecki, D. (2023). Early maladaptive schemas and their impact on parenting: do dysfunctional schemas pass generationally?—a systematic review. Journal of Clinical Medicine , 12 (4), 1263. doi: 10.3390/jcm12041263 Stillar, A., Merali, N., Gusella, J., Scarborough, J., Nash, P., Orr, E., Henderson, K., Mayman, S., Files, N., & Lafrance, A. (2023). Caring for a child with an eating disorder: Understanding differences among mothers and fathers of adolescent and adult children. European Eating Disorders Review , 31 (1), 87-97. doi: 10.1002/erv.2935 Thomas, J. J., & Eddy, K. T. (2018). Cognitive-behavioral therapy for avoidant/restrictive food intake disorder: children, adolescents, and adults . Cambridge University Press. https://doi.org/10.1017/9781108233170 Thomas, J. J., Lawson, E. A., Micali, N., Misra, M., Deckersbach, T., & Eddy, K. T. (2017). Avoidant/restrictive food intake disorder: a three-dimensional model of neurobiology with implications for etiology and treatment. Current psychiatry reports , 19 , 1-9. doi: 10.1007/s11920-017-0795-5. Tuorila, H., & Mustonen, S. (2010). Reluctant trying of an unfamiliar food induces negative affection for the food. Appetite , 54 (2), 418-421. doi: 10.1016/j.appet.2010.01.010. Waller, G. (2004). An experimental test of a schema based model of eating disorders. University College London , UMI Dissertation Welburn, K., Coristine, M., Dagg, P., Pontefract, A., & Jordan, S. (2002). The Schema Questionnaire—Short Form: Factor analysis and relationship between schemas and symptoms. Cognitive therapy and research , 26 , 519-530. https://doi.org/10.1023/A:1016231902020 Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema therapy. New York: Guilford , 254 , 653-658. https://doi.org/10.1023/A:1016231902020 Zickgraf, H. F., & Ellis, J. M. (2018). Initial validation of the Nine Item Avoidant/Restrictive Food Intake disorder screen (NIAS): A measure of three restrictive eating patterns. Appetite , 123 , 32-42. doi: 10.1016/j.appet.2017.11.111. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 24 May, 2025 Read the published version in Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity → Version 1 posted Editorial decision: Revision requested 06 Aug, 2024 Editor assigned by journal 28 Jul, 2024 Submission checks completed at journal 24 Jul, 2024 First submitted to journal 23 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4788390","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":336537465,"identity":"9f7d6931-b33d-4cce-8595-d2c0389e79a8","order_by":0,"name":"Akbari Mehdi","email":"","orcid":"","institution":"Kharazmi University","correspondingAuthor":false,"prefix":"","firstName":"Akbari","middleName":"","lastName":"Mehdi","suffix":""},{"id":336537466,"identity":"a889d90c-5429-4da2-b8c2-6bcf0ba2036f","order_by":1,"name":"shirin zeinali","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIie2PoWoDQRCG/2NhYzaN3RBxrzBHTSNKXmWPhaiI2JqwIXCqUBvIe5yqOBhdn0JEzpyKOBUiIrJXiKjoJnEV+8EMM+Jj/gEikf+I7hoBT0JU1xUw9yhSSPOI4pFQdF+udONE2853qeyp4+ht9pKix3vUn38rtKuQranJCtEvh1+lzpyaEkwTULSBVcTJj7IsdeIw879UgWBrAz4TTwqhmk6ZuMEhrGBrkhWIc6/ITsmdvnGFtvkqeSe2hZDPY6/YQjdUhYNZbk9nfv0YcP29LBd+sHV9CgWD//cX0ldQiEQikchtLj/ASZFi4M3PAAAAAElFTkSuQmCC","orcid":"","institution":"Urmia University","correspondingAuthor":true,"prefix":"","firstName":"shirin","middleName":"","lastName":"zeinali","suffix":""}],"badges":[],"createdAt":"2024-07-23 11:31:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4788390/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4788390/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s40519-025-01739-y","type":"published","date":"2025-05-24T15:58:17+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":83460228,"identity":"7a5e3e31-b413-4a77-b671-2bafd8dc3a5c","added_by":"auto","created_at":"2025-05-26 16:12:13","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1482510,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4788390/v1/ba547e3f-55fc-46d4-b6eb-b55a722f4c6c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Exploring the Role of Maternal-Adult Child Relationship, Early Maladaptive Schemas, and Difficulties in Emotion Regulation in Symptoms of Avoidant/Restrictive Food Intake Disorder","fulltext":[{"header":"Introduction","content":"\u003cp\u003eAvoidant/Restricted Food Eating Disorder (ARFID) is a new diagnostic category in the DSM-5 and ICD-11 (DSM-5; Harm et al., 2013) and ICD-11 (Claudino et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). ARFID is a pattern of eating that limits dietary diversity (e.g., avoiding certain foods) and/or food volume (e.g., small amounts) of a person and is associated with significant medical and psychological effects. To be diagnosed, a person's eating pattern must result in significant negative consequences, such as weight loss, developmental delays, nutritional deficiencies, reliance on tube feeding or energy supplements, or impairment in psychological functions (Thomas \u0026amp; Eddy, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). ARIFD symptoms are not necessarily linked to intentional weight loss, specific dietary behaviors, or body image disorders and is commonly characterized by sensory sensitivity (e.g., texture, smell, and taste), fear of aversive consequences, (e.g., choking, vomiting, and allergic reactions), or lack of interest in eating or food (i.e., low appetite) (Thomas et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). ARFID, a relatively new diagnostic classification (Bryant-Waugh, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), has a prevalence rate of 0.3\u0026ndash;4.1% in adults (Dunford \u0026amp; Thomas, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Unlike other eating disorders, it affects both men and women equally (Kerna et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eEven though ARFID is acknowledged as a unique clinical condition, not much is known about it overall (Bourne et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).Coglan and Otasowie (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) has proposed three categories of predisposing, precipitating, and perpetuating factors in this disorder. Dinkler et al. (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) emphasize the role of heredity as a predisposing factor in their study. Cunliffe et al. (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) also suggest that parental factors should be considered when providing support. Accordingly, it seems that parenting factors and parent-child relationships play a role in the onset (Gruber et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) and persistence of eating problems, Kerzner et al. (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) believe that family therapy is effective in reducing ARFID symptoms, that the family meals of these children are accompanied by tension, and parents are hesitant between pushing the child and letting him go because the child cannot eat from the foods that other family members are eating (Thomas \u0026amp; Eddy, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Brytek-Matera et al. (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) suggest that mothers' eating style and eating disorder symptoms are linked to ARFID symptoms in children. They found that mothers use food as reinforcement in raising children with ARFID symptoms, as food is not satisfactory for these children. Saravia et al. (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) also found that family meals for children with ARFID are boring and stressful, reinforcing their behaviors.\u003c/p\u003e \u003cp\u003eAlso, Waller (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) states that early maladaptive schemas (EMS), as representative of the parental pattern, are associated with eating problems (S\u0026oacute;jta \u0026amp; Strzelecki, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The schema approach focuses on EMS, schema states, and coping strategies. Schemas develop in early life and stem from unmet emotional needs such as love and care, safety, acceptance, autonomy, setting limits, etc in childhood and adolescence (Young et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). The Waller (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) schema model suggests that eating disorders are linked to dysfunctional behavior related to food consumption. Overweight and obesity may trigger dysfunctional eating attitudes as a coping mechanism for stress or negative emotions associated with the schema activation (Basile et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Also, G\u0026uuml;ler and \u0026Ouml;zg\u0026ouml;r\u0026uuml;ş (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) shows that there is a significant relationship between shame/defectiveness, emotional inhibition, failure, abandonment, dependence/incompetence, and vulnerability to harm or illness with eating attitude, failure abandonment schema predict negative attitude to eating significantly. In this regard, Pauwels et al. (\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) found that patients with bulimia had higher scores in maladaptive schemas of insufficient self-control and emotional deprivation, while those with ARFID scored higher in social undesirability, failure to achieve, subjugation, and unrelenting standards. De Paoli et al. (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) also showed that insecure attachment disconnection and rejection domain of maladaptive schema (especially emotional deprivation and abandonment) were associated with eating disorders. The relationship between emotional deprivation schema and eating problems (Pauwels et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) refers to the role of difficulty in emotion regulation and eating problems (Leppanen et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Gratz and Roemer (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) propose an integrated conceptualization of emotion regulation that includes not only the modulation of emotional arousal, but also the awareness, perception and acceptance of emotions, and the ability to act in arbitrary ways regardless of the emotional state and difficulties in emotion regulation refers to difficulties in emotion awareness, clarity, and acceptance, as well as managing regulation strategies, goals, and impulses during emotional experiences. Gratz and Roemer (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) propose a comprehensive view of difficulties in emotion regulation, encompassing modulation of emotional arousal, perception and acceptance of emotions, and the ability to act independently of emotional state. Difficulties in emotion regulation involves difficulties in awareness, clarity, acceptance, and managing regulation strategies, goals, and impulses.\u003c/p\u003e \u003cp\u003eChildren with ARFID symptoms are more likely to have emotional and behavioral problems such as anxiety, withdrawal/depression, attention, physical/social problems, and ASD/OCD characteristics (Sader et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The link between ARFID and emotional undereating has been reported (Dinkler et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), suggesting a relationship between eating behavior and emotional problems (Sader et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Inconsistent learned responses to emotional problems may partly cause ARFID, and it shares similarities with anxiety disorders(Feillet et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). It sould be note that, difficulties in emotion regulation is proposed in 6 dimensions by Gratz and Roemer (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2004\u003c/span\u003e), including lack of awareness and clarity of emotional responses, nonacceptance of emotions, limited access to effective regulation strategies, difficulties controlling impulses, and engaging in goal-directed behaviors during negative emotions. Research suggests that eating for comfort and distraction can regulate emotions and alleviate unpleasant feelings. This tendency is linked to a preference for sweet and fatty foods. Difficulty in emotion regulation is associated with restrictive eating behaviors, and limited access to emotion regulation strategies is linked to dietary restriction (Mikhail \u0026amp; Kring, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Schnepper et al., \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cdiv id=\"Sec2\" class=\"Section2\"\u003e \u003ch2\u003eThe present study\u003c/h2\u003e \u003cp\u003eHeterogeneity in clinical samples of ARFID suggests a relationship between underlying mechanisms (Bourne et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). There are few studies on the etiology of ARFID, particularly in correlation variables of emotion and parenting. Little research has been done on the association of EMS, parent-child relationships, and emotion regulation with eating disorders, specifically ARFID. This study aims to explore the role of maternal-adult-child relationship, EMS, and difficulties in emotion regulation in ARFID symptoms. Further research is needed to understand the onset and continuity of ARFID. Therefore, The hypothesis of the present study will be as follows:\u003c/p\u003e \u003cp\u003e1- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict ARFID.\u003c/p\u003e \u003cp\u003e2- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict sensory sensitivity.\u003c/p\u003e \u003cp\u003e3- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict lack of interest in food or eating.\u003c/p\u003e \u003cp\u003e4- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict fear of aversive consequences.\u003c/p\u003e \u003c/div\u003e"},{"header":"Method","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eParticipants and Procedure\u003c/h2\u003e \u003cp\u003eIn this descriptive-correlational study, 800 students from a major university in the northwest of Iran (Urmia University) were selected by random cluster sampling and finally 791 questionnaires were entered into the analysis, 9 questionnaires were excluded from the analysis process due to incomplete answers. 74.8% of participants were female and 25.2% were male. The mean age for the total sample was 21.3 (SD\u0026thinsp;=\u0026thinsp;2.26); it was 21.4 (SD\u0026thinsp;=\u0026thinsp;2.34) for females, and it was 21.1 (SD\u0026thinsp;=\u0026thinsp;1.97) for male participants. Regarding marital status, 8.8% were married, and the remaining were single. In their field of study, 61.3%, 31.7%, 4.2%, and 2.8% were studying humanities, science, art, and engineering, respectively. For the implementation of questionnaires, the participants' names and surnames were not requested to increase the validity and reliability of the data collection tool and were told about them the purpose of the study.\u003c/p\u003e \u003cp\u003eAll procedures used in studies involving human subjects follow the national research committee\u0026rsquo;s ethical standards, the 1964 Declaration of Helsinki and its revisions or the American Psychiatric Association (2013). Full informed consent was given to participants of this study. The ethical principles of the process of implementation and selection of students have been reviewed and approved by the members of the Department of Psychology of Urmia University during the minutes of the meeting.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eMeasures\u003c/h2\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003eRestricted Avoidance Food Intake Questionnaire (RAFIQ)\u003c/h2\u003e \u003cp\u003eThis measure designed by Zickgraf and Ellis (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2018\u003c/span\u003e), it consists of 9 questions and three subscales (sensory sensitivity, fear of hurtful consequences, and lack of interest in eating or food) and is scored as Likert (totally disagree\u0026thinsp;=\u0026thinsp;1 to totally agree\u0026thinsp;=\u0026thinsp;6). Cronbach's alpha was reported to be (0.90) for the entire scale, sensory sensitivity (0.87) (eg, I am a picky eater), fear of aversive consequences (eg, I avoid or put off eating because I am afraid of GI discomfort, choking, or vomiting) (0.93), and lack of interest in eating or food (eg, I am not very interested in eating; I seem to have a smaller appetite than other people) (0.87). In this study, Cronbach's alpha was for the entire scale (0.85), sensory sensitivity (0.87), fear of aversive consequences (0.80), and lack of interest in eating or food (0.78).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003eMaternal-adult child relationship\u003c/h2\u003e \u003cp\u003eThe Parent-Child Relationship Assessment Questionnaire (PCRS) was developed by Kerzner B (2015) and consisted of 24 items used to measure the quality of parent-adult-child relationship. The questionnaire scoring is based on a 7-point Likert spectrum. Items 9, 13, and 14 are scored inversely. Components of the questionnaire included positive affect (eg,time spent with mother), resentment/role confusion (eg, clarity of mother\u003csup\u003e,\u003c/sup\u003es role), identification(eg,desire to be like mother), and communication(eg, ease to talking about problem). Cronbach's alpha for the whole questionnaire was (0.96), with positive affect (0.94), resentment/role confusion (0.61), identification (0.84), and communication (0.88) in 241 students. In this study, Cronbach's alpha was for the entire scale (0.91), positive affect (0.93), resentment/role confusion (0.51), identification (0.67), and communication (0.89).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003edifficulties in emotion regulation\u003c/h2\u003e \u003cp\u003eThe Difficulty in Emotion Regulation Scale (DERS) was developed by (Gratz \u0026amp; Roemer, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) and has 36 items and six factors: Nonacceptance of Emotional Responses (6 questions, eg, When I\u0026rsquo;m upset, I feel guilty for feeling that way), Difficulties Engaging in Goal-Directed (5 questions, eg, When I\u0026rsquo;m upset, I have difficulty concentrating), Impulse Control Difficulties (6 items, eg, When I\u0026rsquo;m upset, I lose control over my behaviors.), Limited Access to Emotion Regulation Strategies (8 items, eg, When I\u0026rsquo;m upset, I believe that I\u0026rsquo;ll end up feeling very depressed), Lack of Emotional Awareness (6 items, eg, I am attentive to my feelings) and lack of emotional clarity (5 items, eg, I have no idea how I am feeling.). Scores range from 1 (almost never) to 5 (almost always), and questions 1, 2، 6, 7, 8, 10, 17, 20, 22, 24, and 34 are scored inversely, and the high scores indicate greater difficulty in emotion regulation, with scores ranging from 36 to 180 (Gratz \u0026amp; Roemer, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). reported internal consistency of 0.93 for the whole scale and 0.85, 0.89, 0.86, 0.80, 0.88, and 0.80 for subscales, respectively. In this study, Cronbach's alpha for the whole questionnaire and subscale were 0.89, 0.81, 0.72, 0.70, 0.70, 0.81, and 0.67, respectively.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section3\"\u003e \u003ch2\u003eEarly maladaptive schemas\u003c/h2\u003e \u003cp\u003eThe Young Schema Questionnaire - Short Form (YSQ-SF) is a 75-item questionnaire designed by Young in 1998 to assess 15 different schemas. Participants use a 6-point Likert scale to rate items, and each scale consists of five items. The 15 schemas include emotional deprivation, abandonment/instability, mistrust/abuse, social isolation, defectiveness/shame, failure, dependence/incompetence, vulnerability to harm or illness, enmeshment, subjugation, self-sacrifice, emotional inhibition, unrelenting standards/hyper criticalness, entitlement, and insufficient self-control/self-discipline. Higher scores on the questionnaire indicate a greater presence of maladaptive schemas for the respondent. In the Welburn et al. (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2002\u003c/span\u003e) study, the overall Cronbach's alpha for the questionnaire subscales were from 0.76 to 0.93, in this study Cronbach's alpha for the questionnaire was 0.95, and the individual subscales had alphas ranging from 0.70 to 0.86. The YSQ-SF is a useful tool for assessing maladaptive schemas and can provide insights into a person's thought patterns and beliefs.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eData analysis\u003c/h2\u003e \u003cp\u003eStatistical analysis was conducted using Jamovi, an R language-based software (version 2.3.28). The underlying assumptions of regression analysis were examined to ensure the feasibility of testing the research hypotheses. The absence of autocorrelation in the data set was examined with the Durbin-Watson (DW) test, and this assumption was met (\u003cem\u003eDW\u003c/em\u003e statistic\u0026thinsp;=\u0026thinsp;2., \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;.924). The absence of multicollinearity was also examined. The variance inflation factor (VIF, ranging from 1.29 to 2.60) and its corresponding tolerance value (ranging from .36 to .66) were in the desired range as the VIFs are less than ten and the tolerance values are above .25; thus, this assumption also was met. The Cook\u0026rsquo;s distance was used to ensure the absence Of influential outliers, and given that the mean value (mean\u0026thinsp;=\u0026thinsp;0.001, standard deviation\u0026thinsp;=\u0026thinsp;0.002) for this index was below .50, there was no evidence of influential outliers. Normality was also tested using the skewness (ranging from \u0026minus;\u0026thinsp;0.01 to 1.06) and kurtosis (ranging from \u0026minus;\u0026thinsp;0.01 to 0.78) indices, and given that the values were not outside of the desired range of -3 to +\u0026thinsp;3, the normal distribution of the data can be concluded. Also, a visual inspection of the residuals by Q-Q plot shows that the data are homoscedastic. Finally, the assumption of linearity (null residual) was also tested by plotting the residuals to the fitted value, and it was found to be satisfactory.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eCorrelates of ARFID symptoms\u003c/h2\u003e\n \u003cp\u003eTable \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e represents the variable of interest\u0026rsquo;s dispersion indices and Pearson correlation matrix. As seen, maternal-adult child relationship was negatively and significantly associated with ARFIDS \u003cem\u003er\u003c/em\u003e (799)\u0026thinsp;=\u0026thinsp;\u0026minus;\u0026thinsp;.09, and all maladaptive schemas \u003cem\u003er\u003c/em\u003e\u003csub\u003es\u003c/sub\u003e (799)\u0026thinsp;=\u0026thinsp;.08 to .30, and difficulties in emotion regulation \u003cem\u003er\u003c/em\u003e (799)\u0026thinsp;=\u0026thinsp;.24 were positively and significantly associated with ARFIDS.\u003c/p\u003e\n \u003cp\u003e\u003c/p\u003e\u0026nbsp;\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eMean, standard deviation, and Pearson correlation matrix (N\u0026thinsp;=\u0026thinsp;791).\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ex̄\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e21.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e8.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e125.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e25.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.092**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e89.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e20.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.243**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.277**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e12.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.237**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.381**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.404**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e13.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.151**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.118**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.389**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.371**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e13.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.196**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.273**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.386**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.489**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.429**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e13.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.286**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.258**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.434**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.492**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.373**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.629**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.275**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.238**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.492**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.470**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.405**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.459**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.634**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.214**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.281**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.432**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.402**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.403**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.409**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.491**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.585**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.242**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.179**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.420**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.320**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.399**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.375**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.473**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.582**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.657**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e11\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.300**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.198**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.409**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.314**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.365**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.486**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.509**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.581**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.548**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.602**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e12\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e11.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.254**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.104**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.383**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.288**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.414**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.454**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.415**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.451**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.492**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.595**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.587**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e13\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.211**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.210**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.370**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.436**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.413**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.489**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.588**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.567**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.669**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.608**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.630**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e14\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.083*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.045\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.092**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.242**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.293**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.244**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.229**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.140**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.172**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.160**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.216**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.261**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.347**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e15\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e13.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.228**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.237**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.420**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.387**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.313**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.446**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.532**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.434**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.418**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.323**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.388**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.327**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.393**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.289**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e17.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.162**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.096**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.131**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.194**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.206**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.314**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.311**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.117**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.149**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.076*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.168**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.196**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.138**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.417**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.402**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e16.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.207**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.229**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.220**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.219**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.256**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.358**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.336**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.178**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.206**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.158**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.241**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.275**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.210**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.351**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.403**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.570**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e14.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.184**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.217**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.375**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.326**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.327**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.352**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.359**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.303**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.378**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.332**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.321**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.377**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.415**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.376**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.452**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.406**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.538**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"21\"\u003e\u003cem\u003eNote.\u003c/em\u003e Below and above the diagonal line represents the correlations across females and males, respectively; Maladaptive schemas: 1\u0026thinsp;=\u0026thinsp;ARFID symptoms; 2\u0026thinsp;=\u0026thinsp;maternal-ault child relationship; 3\u0026thinsp;=\u0026thinsp;difficult in emotion regulation; 4\u0026thinsp;=\u0026thinsp;emotional deprivation; 5\u0026thinsp;=\u0026thinsp;abandonment/instability; 6\u0026thinsp;=\u0026thinsp;mistrust/abuse; 7\u0026thinsp;=\u0026thinsp;social isolation; 8\u0026thinsp;=\u0026thinsp;shame/defectiveness; 9\u0026thinsp;=\u0026thinsp;failure; 10\u0026thinsp;=\u0026thinsp;dependence/incompetence; 11\u0026thinsp;=\u0026thinsp;vulnerability to harm or illness; 12\u0026thinsp;=\u0026thinsp;enmeshment; 13\u0026thinsp;=\u0026thinsp;subjugation; 14\u0026thinsp;=\u0026thinsp;self-sacrifice; 15\u0026thinsp;=\u0026thinsp;emotional inhibition; 16\u0026thinsp;=\u0026thinsp;unrelenting standards/hyper criticalness; 17\u0026thinsp;=\u0026thinsp;entitlement; 18\u0026thinsp;=\u0026thinsp;insufficient self-control/self-discipline; two-tailed significance: \u003cem\u003e*\u0026lt;0.05, ** \u0026lt;0.01\u003c/em\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eHierarchical regression analysis\u003c/h2\u003e\n \u003cp\u003eIn order to examine the contribution of parantal-adult child relationship, EMS, and difficulties in emotion regulation, a hierarchical regression analysis was performed. Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e presents the results for predicting ARFIDS scores from age, gender, field of study, marital status [step 1], Maternal-adult child relationship [step 2], difficulties in emotion regulation [step 3], and EMS [step 4].\u003c/p\u003e\n \u003cp\u003e\u003c/p\u003e\u0026nbsp;\u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eHierarchical regression analysis on ARFID symptoms as a dependent variable (N\u0026thinsp;=\u0026thinsp;791).\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003ePredictor\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003eLl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003eUl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e\u003cem\u003eT-value\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e\u003cem\u003eR\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 10.7744%;\"\u003e\n \u003cp\u003eAdjusted \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e∆\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eStep 1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 6.2851%;\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 6.1728%;\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 10.8866%;\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 10.7744%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e--\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eGender (Female vs male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eField of study (humanities vs. science)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.37*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-4.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStep 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 6.2851%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 6.1728%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.8866%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.7744%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.04\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.01\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eGender (Female vs male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-2.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eField of study (humanities vs. science)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.35*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-4.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003ePositive affect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eResentment/role confusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eIdentification\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eCommunication\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStep 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 6.2851%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 6.1728%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.8866%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.35\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.12\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.7744%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.07\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eGender (Female vs male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-2.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eField of study (humanities vs. science)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-4.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003ePositive affect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eResentment/role confusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eIdentification\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eCommunication\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eNonacceptance of emotional responses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eDifficulty engaging in goal-directed behavior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eImpulse control difficulties,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e2.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eLack of emotional awareness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eLimited access to emotion regulation strategies\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.18*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e3.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eLack of emotional clarity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStep 4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 6.2851%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 6.1728%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.8866%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.45\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.20\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.7744%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.275%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.07\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eGender (Female vs male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-2.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eField of study (humanities vs. science)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-4.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003ePositive affect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eResentment/role confusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eIdentification\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eCommunication\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eNonacceptance of emotional responses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eDifficulty engaging in goal-directed behavior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eImpulse control difficulties,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eLack of emotional awareness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-2.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eLimited access to emotion regulation strategies\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eLack of emotional clarity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eEmotional deprivation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e3.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eAbandonment/instability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eMistrust/Abuse\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eSocial isolation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eShame/defectiveness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eFailure\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eDependence/incompetence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eVulnerability to harm or illness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e3.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eEnmeshment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e1.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eSubjugation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eSelf-sacrifice\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eEmotional inhibition\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eUnrelenting standards/hypercriticalness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eEntitlement\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e0.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e2.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 33.2211%;\"\u003e\n \u003cp\u003eInsufficient self-control/self-discipline\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.2851%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.1627%;\"\u003e\n \u003cp\u003e-0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 6.1728%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 10.8866%;\"\u003e\n \u003cp\u003e-0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.1627%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 10.7744%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 5.275%;\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" style=\"width: 89.6745%;\"\u003e\u003cem\u003eNote\u003c/em\u003e. Given the higher proportion of female participants (vs. male) and students in the humanities field (vs. science), they were considered as the reference groups. Other fields of study were not reported due to their insignificant statistical value. \u003cem\u003e*\u0026lt;0.05\u003c/em\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003c/p\u003e\n \u003cp\u003e\u003c/p\u003e\n \u003cdiv align=\"char\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"char\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u003ctable id=\"Tab3\" border=\"1\" style=\"margin-right: calc(0%); width: 100%;\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eMultiple regression analysis on three dimensions of ARFID symptoms (N\u0026thinsp;=\u0026thinsp;791).\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eSymptoms\u003c/p\u003e\n \u003cp\u003ePredictors\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\" style=\"width: 16.3905%;\"\u003e\n \u003cp\u003eSensory sensitivity\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\" style=\"width: 16.3905%;\"\u003e\n \u003cp\u003eLack of interest\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\" style=\"width: 17.6176%;\"\u003e\n \u003cp\u003eFear of aversive consequences\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003eLl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003eUl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e\u003cem\u003eT-value\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003eLl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003eUl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e\u003cem\u003eT-value\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003eLl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003eUl\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e\u003cem\u003eT-value\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eGender (Female vs male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.20*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eField of study (humanities vs. science)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-3.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.23*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-3.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-3.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003ePositive affect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eResentment/role confusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eIdentification\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e2.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eCommunication\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eNonacceptance of emotional responses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eDifficulty engaging in goal-directed behavior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eImpulse control difficulties,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eLack of emotional awareness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.12*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-2.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eLimited access to emotion regulation strategies\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eLack of emotional clarity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eEmotional deprivation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e3.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e2.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eAbandonment/instability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eMistrust/Abuse\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.13*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-2.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eSocial isolation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.13*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e2.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e2.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eShame/defectiveness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e2.96\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eFailure\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eDependence/incompetence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eVulnerability to harm or illness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e2.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.22*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e4.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eEnmeshment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eSubjugation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eSelf-sacrifice\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-2.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eEmotional inhibition\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eUnrelenting standards/hypercriticalness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eEntitlement\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e2.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e1.97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 18.5817%;\"\u003e\n \u003cp\u003eInsufficient self-control/self-discipline\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.6454%;\"\u003e\n \u003cp\u003e-0.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 3.8566%;\"\u003e\n \u003cp\u003e-0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 4.0319%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" style=\"width: 5.0837%;\"\u003e\n \u003cp\u003e-1.97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"13\" style=\"width: 70.032%;\"\u003e\u003cem\u003eNote\u003c/em\u003e. Given the higher proportion of female participants (vs. male) and students in the humanities field (vs. science), they were considered as the reference groups. Other fields of study were not reported due to their insignificant statistical value. \u003cem\u003e*\u0026lt;0.05\u003c/em\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003c/p\u003e\n \u003cp\u003eThe results indicated that in the first step, only gender and field of study significantly predicted ARFIDS, \u003cem\u003eF\u003c/em\u003e (6, 784)\u0026thinsp;=\u0026thinsp;5.93, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;.01, explaining a 3.9% of the ARFIDS variance, and model fit measures were \u003cem\u003eAIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5697, \u003cem\u003eBIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5734, and \u003cem\u003eRMSE\u003c/em\u003e\u0026thinsp;=\u0026thinsp;8.78. The addition of maternal-child relationship (step 2) resulted in a significant regression equation, \u003cem\u003eF\u003c/em\u003e (10, 780)\u0026thinsp;=\u0026thinsp;4.39, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;.001, explaining an extra 1.3% of the variation in ARFIDS, which was significant (∆\u003cem\u003eF\u003c/em\u003e (4, 780)\u0026thinsp;=\u0026thinsp;2.81, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;.02), the model fit measures were \u003cem\u003eAIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5694, \u003cem\u003eBIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5750, and \u003cem\u003eRMSE\u003c/em\u003e\u0026thinsp;=\u0026thinsp;8.71, and the effect-size for the addition of step 2 was Cohen\u0026rsquo;s \u003cem\u003ef\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.01. Of maternal-adult child relationship in step 2, only resentment/role confusion was marginally significant (\u003cem\u003eT\u003c/em\u003e-value\u0026thinsp;=\u0026thinsp;1.95). The inclusion of difficulties in emotion regulation (step 3) produced a significant equation, \u003cem\u003eF\u003c/em\u003e (16, 774)\u0026thinsp;=\u0026thinsp;7.01, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;.001, accounting for an additional 7.3% of the variation explained in ARFIDS scores, which was significant (∆\u003cem\u003eF\u003c/em\u003e (6, 774)\u0026thinsp;=\u0026thinsp;10.82, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;.01), the model fit measures were \u003cem\u003eAIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5642, \u003cem\u003eBIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5726, and \u003cem\u003eRMSE\u003c/em\u003e\u0026thinsp;=\u0026thinsp;8.37, and the effect-size for the addition of step 3 was Cohen\u0026rsquo;s \u003cem\u003ef\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.06. The difficulties in emotion regulation in step 3, impulse control difficulties, lack of emotional awareness, and limited access to emotion regulation strategies were significant.\u003c/p\u003e\n \u003cp\u003eFinally, the addition of the EMS (step 4) resulted in a significant equation, \u003cem\u003eF\u003c/em\u003e (31, 759)\u0026thinsp;=\u0026thinsp;6.21, p\u0026thinsp;\u0026lt;\u0026thinsp;.001, accounting for an additional 7.6% of the variation in ARFIDS scores, which was also significant (∆\u003cem\u003eF\u003c/em\u003e (15, 759)\u0026thinsp;=\u0026thinsp;4.85, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;.01), the model fit measures were \u003cem\u003eAIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5599, \u003cem\u003eBIC\u003c/em\u003e\u0026thinsp;=\u0026thinsp;5754, and \u003cem\u003eRMSE\u003c/em\u003e\u0026thinsp;=\u0026thinsp;7.99, and the effect-size for the addition of step 4 was Cohen\u0026rsquo;s \u003cem\u003ef\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.09. Of EMS in step 4, emotional deprivation, vulnerability to harm or illness, and entitlement schemas were significant. The final model (step 4) had superior fit metrics (lower AIC and RMSE and not for BIC) than earlier models (steps 1, 2, and 3) and predicted a 17% variance in ARFIDS scores. According to Cohen\u0026rsquo;s \u003cem\u003ef\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e, the order of variables by their importance in predicting ARFIDS in the final step was EMS (emotional deprivation, vulnerability to harm or illness, and entitlement), difficulties in emotion regulation (lack of emotional awareness), demographics (gender and field of study), and maternal-adult child relationship (identification), respectively.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n \u003ch2\u003eMultiple regression analysis\u003c/h2\u003e\n \u003cp\u003eHere, we have performed further analysis to explore the role of studied variables in explaining the variance in different ARFIDS symptoms using multiple regression models across its three Dimensions: i.e. sensory sensitivity, lack of interest, and fear of aversive consequences. The first model for predicting sensory sensitivity was significant \u003cem\u003eF\u003c/em\u003e (31, 759)\u0026thinsp;=\u0026thinsp;4.26, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;.001, which explained significant variance in the score of sensory sensitivity (\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;14.8, adjusted \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;11.3). In predicting sensory sensitivity, the field of study (negative coefficient for humanities and positive coefficient for science) and EMS (emotional deprivation, mistrust/abuse, social isolation, and vulnerability to harm or illness) were significant.\u003c/p\u003e\n \u003cp\u003eThe second model for predicting lack of interest was significant as well, \u003cem\u003eF\u003c/em\u003e (31, 759)\u0026thinsp;=\u0026thinsp;5.22, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;.001, which explained significant variance in scores of lack of interest (\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;17.6, adjusted \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;14.2). In predicting lack of interest, gender, field of study (negative coefficient for humanities and positive coefficient for science), difficulties in emotion regulation (difficulty engaging in goal-directed behavior and lack of emotional awareness), and EMS (emotional deprivation, social isolation, and entitlement) were significant.\u003c/p\u003e\n \u003cp\u003eFinally, the third model for predicting fear of aversive consequences was also significant \u003cem\u003eF\u003c/em\u003e (31, 759)\u0026thinsp;=\u0026thinsp;4.67, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;.001, which explained significant variance in scores of fears of aversive consequences (\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;16, adjusted \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;12.6). In predicting fear of aversive consequences, the field of study (negative coefficient for humanities and positive coefficient for science), maternal-adult child relationship (identification), and EMS (shame/defectiveness, vulnerability to harm or illness, self-sacrifice, entitlement, and insufficient self-control/self-discipline), were significant.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eARFID is a relatively new diagnostic class and DSM-5 has called for further studies and evidence in its field. Considering the need for further studies in the field of this disorder, the aim of this study was to answer these questions:\u003c/p\u003e \u003cp\u003e1- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict ARFID.\u003c/p\u003e \u003cp\u003e2- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict sensory sensitivity.\u003c/p\u003e \u003cp\u003e3- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict lack of interest in food or eating.\u003c/p\u003e \u003cp\u003e4- The variables of parent-child relationship, EMS, difficulties in emotion regulation, and demographic characteristics can predict fear of aversive consequences.\u003c/p\u003e \u003cp\u003eIn this study, we investigated the role of maternal-adult-child relationship, EMS, and difficulties in emotion regulation in ARFID symptoms. The results showed that the maternal-adult-child relationship has a significant negative relationship with ARFID, and EMS and difficulty in emotion regulation have a significant positive relationship with ARFID. Based on the results of stepwise regression, gender, the field of study, maternal-adult Child relationship (only resentment/role confusion), difficulties in emotion regulation (impulse control difficulties, lack of emotional awareness, and limited access), and EMS (emotional deprivation, vulnerability to harm or illness, and entitlement schemas) play a significant role in ARFID prediction.\u003c/p\u003e \u003cp\u003eOur findings aligns with Coglan and Otasowie (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), Mitchell et al. (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), Laporta-Herrero et al. (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and Pelletier Brochu et al. (\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) suggesting that eating disorders are strongly linked to the quality of the relationship between mother and father. Maternal depressive symptoms are linked to unresponsive and controlling feeding practices, correlate with ARFID (Kerna et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). The parental footprint in EMS can also influence perceptions of parental role and schema, such as impulsive deprivation and entitlement. Defects in early parent-child relationships and traumatic cognition from parents can be associated with ARFID.\u003c/p\u003e \u003cp\u003eNo studies have explored the link between emotion regulation and ARFID in adulthood. However, children with ARFID symptoms often experience negative emotions or reduced eating in stressful situations (Sader et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Given that children with ARFID symptoms experience more emotional and behavioral problems, the relationship between eating behavior and emotional problems is also reaffirmed, i.e., ARFID is, in part, due to incompatible learned responses to emotional problems. Along with parenting, Individuals with eating disorders, particularly ARFID, struggle with emotion regulation, as found by (Dinkler et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) and (Haynos et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Restrictive eating is linked to emotion management in these individuals, and they may have difficulty accessing and controlling their emotions. Iron-Segev et al. (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) also suggest that children with ARFID may have more emotional and social problems, a criterion of DSM-5-related eating and nutrition problems (DSM-5; Harm et al., 2013). Among the interesting findings of our study were the prominent role of gender (negative coefficient for females and positive coefficient for males) and field of study (negative coefficient for humanities and positive coefficient for science) in predicting ARFID. Studies have shown that the prevalence of ARFID is equal in both genders (Kerna et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Speculative at the moment, the role of gender might be explained by that this study was conducted in non-clinical samples, extensive studies are needed to interpret demographic variables.\u003c/p\u003e \u003cp\u003ePredictors of sensory sensitivity\u003c/p\u003e \u003cp\u003eOne of the components of ARFID is sensory sensitivity. The field of study and EMS (emotional deprivation, mistrust/abuse, social isolation, and vulnerability to harm or illness) had a significant role in predicting sensory sensitivity. Along with our findingFinistrella et al. (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) found that cognitive schemas about new foods are linked to noephobic reactions, while. Tuorila and Mustonen (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) suggest that lack of interest in trying new foods leads to negative schemas. De Paoli et al. (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) link insecure attachment and maladaptive schema, particularly emotional deprivation, to eating problems. Zhang et al (2024) suggest social isolation schemas can lead to maladaptive eating behaviors. Speculative at the moment, people who have sensory sensitivities and avoid eating a variety of foods are likely to have a vulnerability to harm or illness schema that makes them sensitive to trying new foods, of course, the role of the mistrust schema to try new tastes and textures is also highlighted.\u003c/p\u003e \u003cp\u003eHowever, predictive variables had less of a role in predicting sensory sensitivity, it seems that this component is mainly influenced by heredity and sensory threshold of taste buds (Thomas \u0026amp; Eddy, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Considiring biological ability, such people become suspicious or disgusted by new foods. Unoka et al. believe that schemas play an important role in the development and maintenance of eating disorders. Early stimuli contribute to the development of sensorineural pathways and shape sensory processing style, impacting taste and texture responses. These experiences affect eating habits (Łoboś \u0026amp; Januszewicz, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), improving food choices and lifelong eating habits.\u003c/p\u003e \u003cp\u003ePredictors of lack of interest in food or eating\u003c/p\u003e \u003cp\u003eIn this study, we investigated the role of emotional and parental variables in predicting another component of ARFID, i.e., lack of interest in food or eating. Gender, field of study (negative coefficient for humanities and positive coefficient for science), difficulties in emotion regulation (difficulty engaging in goal-directed behavior and lack of emotional awareness), and EMS (emotional deprivation, social isolation, and entitlement) were significant in the predicting of this variable. In the present study, gender (male) played a significant role in predicting lack of interest in eating or food, ARFID is a new diagnostic disorder, in some studies the prevalence has been reported in both gender equally (Hay et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2017\u003c/span\u003e), and the demographic findings need to be examined more closely. Along with our finding, Adolescents who experience restrictive parental feeding behaviors may not be aware of their feelings, and cope with unpleasant emotions by eating (Romano \u0026amp; Heron, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Haynos et al. (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) explain that hunger itself acts as an emotion regulation strategy that reduces inner experience and outward expression of emotions, leading individuals to rely on hunger as their only emotion regulation strategy over time due to its numbing effect (Oldershaw et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). People experiencing a lack of appetite may fear feeling bloated and nauseous after eating, leading to irregular eating habits and limited food intake. They may not anticipate enjoying meals and may skip them altogether.\u003c/p\u003e \u003cp\u003eThe findings support the EMS theory for eating disorders, linking EMS related to disconnection, rejection, impaired limits, and overvigilance to disturbed eating behaviors like food addiction and overeating. The role of schema in eating behaviors may be due to unmet early needs, leading to emotional distress and a need for control (Gerges et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Schemas such as emotional deprivation and social isolation may contribute to a lack of interest in eating, as individuals try to satisfy their basic needs while maintaining independence and non-dependence on others.\u003c/p\u003e \u003cp\u003ePredictors of fear of aversive consequences\u003c/p\u003e \u003cp\u003eAlso, in this study, the field of study (negative coefficient for humanities and positive coefficient for science), maternal-adult child relationship (identification), and EMS (shame/defectiveness, vulnerability to harm or illness, self-sacrifice, entitlement, and insufficient self-control/self-discipline), variables had a significant role in predicting fear of aversive consequences and interestingly, difficulty in emotion regulation had no significant role in the component, and this contradicts the current literature on the role of emotion regulation in fear of aversive consequences (Sader et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAlong our finding, G\u0026uuml;ler and \u0026Ouml;zg\u0026ouml;r\u0026uuml;ş (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) shows that there is a significant relationship between shame/defectiveness, emotional inhibition, failure, abandonment, dependence/incompetence, vulnerability to harm or illness with eating attitude, failure abandonment schema predict negative attitude to eating significantly. Gerges et al. (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) believes that that maladaptive schemas, particularly those related to disconnection and rejection, impaired autonomy and performance, and other-directedness, have a direct impact on eating behaviors. Aloi et al. (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) stated that the defectiveness schema plays an important role in severity of binge eating in individuals with binge eating disorder. Furthermore, it is linked to the severity of binge eating in individuals with binge eating disorder. Individuals develop their attitudes towards food based on social pressures, such as the need for approval and desire to appear attractive to others, leading to negative eating attitudes.\u003c/p\u003e \u003cp\u003eThere were no studies on the role of parent-child relationship and fear of aversive consequences, but similar studies can be mentioned. Maternal attachment anxiety has been linked to emotional bulimia in children (Hardman et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), while control of feeding behaviors, such as authoritarian feeding, pressure to eat, and restriction, has been linked to undesirable eating patterns in preschool children (Moroshko \u0026amp; Brennan, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). Perception of poor maternal care is also linked to emotional eating in young adults (Ergang et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). In addition, it has been found that mothers of children with eating disorders experience higher levels of fear of participating in treatment, which can affect their self-efficacy and behaviors (Stillar et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eLimitations and future directions\u003c/h2\u003e \u003cp\u003eThe present study had some limitations; this study is a cross-sectional study, and longitudinal studies for causal inference are recommended. our study was cross-sectional, it is not possible to determine whether people's problematic eating behaviors may be caused by parents' problematic eating patterns or whether long-term eating disorders in children may increase parent-adoult child relationship. The groups of students assessed in this study may not represent the entire population since ARFID can occur at any age. The findings of the present study are not generalizable to childhood or adolescence, as more children spend time with parents during childhood and adolescence, and parental influence on children's eating behaviors is greater. The present study has not been done on people with a clinical diagnosis of ARFID. Therefore, it is suggested that in future studies, the relationships of variables in different ages, individuals, and cultures, as well as in people with clinical diagnoses, also be carried out, and fathers and their relationships with children should be investigated. Considering the lack of predictability of the fear of disturbing consequences based on difficulty in emotion regulation, it is suggested that more research be conducted in this field. Longitudinal studies on the role of EMS, difficulty in emotion regulation, and parent-child relationship with ARFID are suggested.\u003c/p\u003e \u003cp\u003eClinical Implications\u003c/p\u003e \u003cp\u003eConsidering the different role of variables in predicting the ARFID components, it is suggested that schema related interventions should be considered more in the treatment for the sensory sensitivity component. In the interventions related to lack of interest in eating or food, interventions related to EMS and emotion management should be considered, and in the field of fear of aversive consequences, attention should be paid to improving parent-child relationships and interventions related to schemas.\u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003ch2\u003eConflicts of interest:\u003c/h2\u003e\n\u003cp\u003eNone to declare.\u003c/p\u003e\n\u003ch2\u003eData availibilty\u003c/h2\u003e\n\u003cp\u003edatasets and/or analysis during the current study will be provided upon request from the relevant author.\u003c/p\u003e\n\u003ch2\u003eFunding:\u003c/h2\u003e\n\u003cp\u003eNone to declare.\u003c/p\u003e\n\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\n\u003cp\u003eShirin Zeinali: Topic SuggestionData Collectionwrote the main manuscript text Mehdi Akbari:Statistical Analysis Monitoring Final Editing\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAloi, M., Rania, M., Caroleo, M., Carbone, E.A, Fazia, G., Calabr\u0026ograve;, G., Segura-Garcia, C. . 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Caring for a child with an eating disorder: Understanding differences among mothers and fathers of adolescent and adult children. \u003cem\u003eEuropean Eating Disorders Review\u003c/em\u003e,\u003cem\u003e 31\u003c/em\u003e(1), 87-97. doi: 10.1002/erv.2935\u003c/li\u003e\n\u003cli\u003eThomas, J. J., \u0026amp; Eddy, K. T. (2018). \u003cem\u003eCognitive-behavioral therapy for avoidant/restrictive food intake disorder: children, adolescents, and adults\u003c/em\u003e. Cambridge University Press. \u003cbr\u003ehttps://doi.org/10.1017/9781108233170\u003c/li\u003e\n\u003cli\u003eThomas, J. J., Lawson, E. A., Micali, N., Misra, M., Deckersbach, T., \u0026amp; Eddy, K. T. (2017). 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The Schema Questionnaire\u0026mdash;Short Form: Factor analysis and relationship between schemas and symptoms. \u003cem\u003eCognitive therapy and research\u003c/em\u003e,\u003cem\u003e 26\u003c/em\u003e, 519-530. https://doi.org/10.1023/A:1016231902020\u003c/li\u003e\n\u003cli\u003eYoung, J. E., Klosko, J. S., \u0026amp; Weishaar, M. E. (2003). Schema therapy. \u003cem\u003eNew York: Guilford\u003c/em\u003e,\u003cem\u003e 254\u003c/em\u003e, 653-658. https://doi.org/10.1023/A:1016231902020\u003c/li\u003e\n\u003cli\u003eZickgraf, H. F., \u0026amp; Ellis, J. M. (2018). Initial validation of the Nine Item Avoidant/Restrictive Food Intake disorder screen (NIAS): A measure of three restrictive eating patterns. \u003cem\u003eAppetite\u003c/em\u003e,\u003cem\u003e 123\u003c/em\u003e, 32-42. doi: 10.1016/j.appet.2017.11.111.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"eating-and-weight-disorders-studies-on-anorexia-bulimia-and-obesity","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"eawd","sideBox":"Learn more about [Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity](https://www.springer.com/journal/40519)","snPcode":"40519","submissionUrl":"https://submission.nature.com/new-submission/40519/3","title":"Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Avoidant Restrictive Food Intake Disorder, Early Maladaptive Schema, difficulties in emotion regulation, Maternal-adult Child Relationship","lastPublishedDoi":"10.21203/rs.3.rs-4788390/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4788390/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eAvoidantAvoidant Restrictive Food IntakeIntake Disorder (ARFID) is a relatively new diagnostic classification, and the DSM-5 has called for further studies and evidence in this field. This study explored the role of maternal-adult-child relationship, early maladaptive schemas, and difficulties in emotion regulation in ARFID Symptoms.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eIn this cross-sectional study, 791 college students were selected through cluster random sampling in 2024. This correlational study investigated the role of demographic characteristics, the maternal-adult-child relationship, early maladaptive schemas, and difficulties in emotion regulation in predicting ARFID symptoms and its components: 1) sensory sensitivity, 2) lack of interest in eating and food, and 3) fear of aversive consequences.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe study revealed a significant negative relationship between the maternal-adult-child relationship and ARFID, while early maladaptive schemas and difficulties in emotion regulation showed a positive relationship. Gender, field of study, maternal-adult-child relationship, emotion regulation difficulties, and early maladaptive schemas were identified as factors in predicting ARFID. Sensory sensitivity, lack of interest in eating or food, and fear of aversive consequences were also significantly predicted.\u003c/p\u003e\u003ch2\u003eDiscussion\u003c/h2\u003e \u003cp\u003eThese findings highlight the intricate connection between parental behaviors and difficulties in emotion regulation in ARFID, emphasizing the importance of considering these components in the identification and treatment of eating disorders, including ARFID.\u003c/p\u003e","manuscriptTitle":"Exploring the Role of Maternal-Adult Child Relationship, Early Maladaptive Schemas, and Difficulties in Emotion Regulation in Symptoms of Avoidant/Restrictive Food Intake Disorder","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-21 09:19:16","doi":"10.21203/rs.3.rs-4788390/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-08-06T07:28:51+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-07-28T16:46:53+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-07-25T03:25:21+00:00","index":"","fulltext":""},{"type":"submitted","content":"Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity","date":"2024-07-23T11:29:58+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"eating-and-weight-disorders-studies-on-anorexia-bulimia-and-obesity","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"eawd","sideBox":"Learn more about [Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity](https://www.springer.com/journal/40519)","snPcode":"40519","submissionUrl":"https://submission.nature.com/new-submission/40519/3","title":"Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"fd2a9b6f-fae9-40b5-85e4-6bbf36ca9b66","owner":[],"postedDate":"August 21st, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-05-26T16:07:13+00:00","versionOfRecord":{"articleIdentity":"rs-4788390","link":"https://doi.org/10.1007/s40519-025-01739-y","journal":{"identity":"eating-and-weight-disorders-studies-on-anorexia-bulimia-and-obesity","isVorOnly":false,"title":"Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity"},"publishedOn":"2025-05-24 15:58:17","publishedOnDateReadable":"May 24th, 2025"},"versionCreatedAt":"2024-08-21 09:19:16","video":"","vorDoi":"10.1007/s40519-025-01739-y","vorDoiUrl":"https://doi.org/10.1007/s40519-025-01739-y","workflowStages":[]},"version":"v1","identity":"rs-4788390","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4788390","identity":"rs-4788390","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}