The Impact of Post-Cancer Treatment Health Examinations on Individuals: A Mİxed-Methods Study | 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 The Impact of Post-Cancer Treatment Health Examinations on Individuals: A Mİxed-Methods Study Yasemin ÖZER GÜÇLÜEL, Gülcan KENDİRKIRAN, Ayşenur ÇETİN ÜÇERİZ, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6997093/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective : The aim of this study is to determine the effects of health checks performed on individuals after cancer treatment. Methods: The study was designed as a mixed method based on cross-sectional, descriptive, quantitative and qualitative approaches. After obtaining the approval of the ethics committee and the necessary permissions, the study was conducted between December 1, 2023 and December 30, 2023 with individuals who applied to the Istanbul University Oncology Institute outpatient clinic. Personal Information Form, Semi-Structured Interview Form and Mood Profile Scale were used as data collection tools. SPSS (IBM SPSS Statistics 24) package program was used for statistical analyses, and Nvivo 8 program was used for the qualitative part. Results: As a result of content analyses, 2 main themes and 18 sub-themes were determined. It was determined that the types of examinations that affected individuals the most were tomography (31.6%) and blood tests (23.7%). When the participants' Mood Profile Scale scores were examined, it was determined that the average was 48.605±42.351 and the scores varied between -10 and 157. In general, the research findings reported that variables such as age, gender, marital status, education level, employment status and smoking had statistically significant effects on Mood Profile scores (p<0.05). Conclusions: As a result, it was determined that individuals should be supported in every way because cancer has not only physiological but also social and psychological effects on individuals. It has become clear that scientific studies in this field are insufficient and that more evidence-based studies need to be conducted. cancer cancer survivors chemotherapy nursing survivors BACKGROUND Advances in cancer treatment have prolonged life after cancer and increased survival rates [ 1 , 2 ]. Despite the higher survival rate, cancer treatment has many side effects that can last for months [ 3 , 4 ]. The occurrence of these effects can vary depending on the type of cancer, the treatment used, age and other factors [ 4 , 5 ]. After any cancer treatment, patients need regular follow-up care to identify health problems, detect recurrences, provide psychosocial support and reintegrate patients into their work and family life [ 6 , 7 ]. Cancer patients should be considered as a special group compared to other patients [ 8 ]. These individuals have more biopsychosocial problems and unmet needs than other patient groups [ 9 ]. Cancer requires continuous care and aftercare. Therefore, support from nurses is very important for these patients at every stage [ 10 ]. Nurses are at the forefront of meeting the aftercare and care needs of patients following cancer treatment [ 11 ]. Follow-up care can usually take the form of outpatient treatment monitoring and regular monthly check-ups for patients, extending to annual follow-up over time. As recurrences usually occur immediately after the first treatment, the recommended follow-up interval may be shorter (3–6 months) in the first two years and longer (6–12 months) thereafter. The question of which cases require follow-up care has not been systematically determined for each case [ 6 ]. There is uncertainty about how post-treatment aftercare affects individuals [ 7 ]. The most important outcome that patients want to hear as a result of follow-up is that the disease has not recurred. Some patients are very eager to have follow-up tests to get the news that the disease has not recurred. For some patients, follow-up visits can lead to uncertainty and stress, which may not be beneficial for patients [ 6 , 12 ]. The aim of this study is to determine the effects of health checks carried out after cancer treatment on the individual. The question of the study was determined as: "What is the effect of health checks after cancer treatment on individuals?" METHODS Research type This study was designed as a mixed method study using methods and techniques based on cross-sectional, descriptive, quantitative and qualitative approaches in a holistic manner. The explanatory sequential design of mixed methods studies was used in the study [ 13 , 14 ]. The study consisted of two stages: Stage 1 was a survey and scale study, and Stage 2 was a structured questionnaire. The purpose of choosing two designs together in this study is to benefit from the advantages of quantitative and qualitative designs and to gain a more detailed and comprehensive understanding of individuals' thoughts about health checks. GRAMMS report guide was used in the research. Sample of the study The research was conducted between January 24 and February 24, 2024. In the qualitative research section, data repetition and data saturation were accepted to determine the sample size [ 15 ]. In order to achieve the greatest possible diversity in terms of age, gender and education level, purposive sample selection was made. The literature review on this topic found that the sample size ranged from 7 to 20 [ 16 ]. The qualitative part was conducted with 15 volunteer participants. For the quantitative part of the study, the population was set at 100 patients, corresponding to the number of patients who had presented to the hospital for treatment in the last 2 months, and the sample size was calculated accordingly. The number of patients to be reached was set at 80. Since 4 people had filled out their forms incompletely, 76 people were included in the study (Table 1 ). Table 1 Features of the Working Group Phase 1 - Quantitative Phase 2 - Qualitative Sample of the Study Individuals who have completed cancer treatment, are over the age of 18, and are oncology outpatient follow-up. Individuals who have completed cancer treatment, are over the age of 18, and are oncology outpatient follow-up. Sample Size 76 participants 15 participants Method Questionnaire, Mood Profile Scale Phenomenology Content analysis Purpose Survey results Creating themes and subthemes Inclusion and exclusion criteria Patients who completed cancer treatment, were over the age of 18, and came to the oncology clinic for follow-up were included in the study, and patients who filled out the forms incompletely were excluded from the study. Data collection tools Quantitative tools The Personal Information Form and the Mood Profile Scale were used to obtain quantitative data. The Personal Information Form is a form consisting of 12 questions created by the researchers based on literature thereferences [ 4 , 17 ]. The Mood Profile Scale was developed in 1971 by McNair and his colleagues to determine the mood profile. Their validity and reliability study in our country was conducted by Selvi et al. [ 18 ]. The scale contains 15 questions to calculate the sub-dimensions of depression - discomfort, 9 questions tension - stress, 12 questions anger - aggression, 7 questions surprise - surprise, 7 questions fatigue - stagnation and 7 questions vitality- activity. The higher the score in response to the items, the higher the emotion in this item [ 18 ]. To determine the total Mood Profile Scale (MPS) in the scale, the scores of the items are added together, with the exception of the items under the vitalityactivity subheadings. The total score is obtained by subtracting the total score of the items under the vigouractivity heading. Qualitative tools The semi-structured interview form was used as a data collection tool. The semi-structured interview form developed by the researchers consists of 2 questions. Initially, the draft interview form consisting of 3 questions was tested on 4 patients and expert opinions were obtained from 3 faculty members (one from educational sciences, two from health sciences). After revision based on the expert opinions and the pilot tests, the questions of the semi-structured interview form were defined as follows: - What do you think about health checks after cancer treatment? - What impact do health checks after cancer treatment have on you? Data collection In both parts of the study, the technique of individual interviews was used. In a quiet environment in the research clinic, participants were asked to complete the questionnaire and scale with their knowledge and consent. A day and time were set for the interviews with the volunteers who wanted to participate in the study to obtain qualitative data, and the interviews lasted an average of 15 minutes. Patients were not called for the study and were scheduled to be interviewed on the day they were present or at the next treatment or follow-up processes. Participants were asked to read and complete the informed consent form and their written consent was obtained. The interviews were recorded with the knowledge and permission of the participants. Validity and reliability The methods of credibility, transferability, consistency and confirmability, which are widely used to ensure validity and reliability in qualitative research, were also used in this study. In qualitative research, the direct presentation of results without interpretation increases the reliability of the study [ 13 ]. For this reason, the raw data were anonymized by labeling (H1. H2, H3…......) and the patients' opinions were reproduced unchanged in the results section to ensure reliability. The audio recordings and interview notes in the computer environment were protected with a password. Evaluation of data Quantitative and qualitative data were collected and analysed separately. Evaluating quantitative data The data obtained in the study were analysed in a computer environment using the statistical programme IBM SPSS Statistics for Windows, Version 22.0 (SPSS INC., Chicago, IL, USA). Frequency and percentage analyses were used to determine the descriptive characteristics of the patients participating in the study, and mean and standard deviation statistics were used to analyse the scale. Kurtosis and skewness values were examined to determine whether the research variables had a normal distribution. The variables were found to have a normal distribution. Parametric methods were used to analyse the data. Independent groups t-test, one-way analysis of variance (Anova) and post-hoc analyses (Tukey, LSD) were used to examine the differences in scale levels according to the descriptive characteristics of the patients. Evaluating qualitative data The recordings of the interviews were transferred to the computer by the researchers. After listening to the recordings three times, the participants' statements were categorized into themes according to their importance. The data were analyzed using the traditional content analysis approach [ 19 ]. The themes that emerged from the content analysis of the interviews were listed and sub-themes were created. The recurring concepts in the text were grouped under the same themes to obtain units of meaning. The content analysis of the interviews was listed and then sub-themes were created. During the data analysis, the computer program Nvivo 8 was used to manage the data and support the analyzes in the qualitative research. After the content analysis, an expert opinion was obtained to assess the suitability of the themes. RESULTS Quantitative data findings Table 2 shows that when examining the age distribution of the people participating in the study, the groups under 50 and over 61 are equally represented (36.8%) and participants aged 51–60 make up 26.3% (mean = 54.950 ± 14.942; min = 23; max = 80). Looking at the gender distribution, 56.6% of the participants are female and 43.4% male. When analysing by marital status, it is found that the majority of people are married (73.7%), and when examining the distribution by education level, it is found that the proportion of university graduates is 38.2%. When examining the employment status, it was found that the persons were equally divided between employed (50.0%) and unemployed (50.0%). It was found that 71.1% of employed persons worked in the private sector and 28.9% in the public sector. In terms of alcohol consumption, it was found that 53.9% of participants did not drink alcohol, and in terms of smoking habits, it was found that 52.6% smoked. The proportion of people with a family history of cancer was 52.6%. When examining the distribution of examinations performed by the participants, it was found that the most frequently performed examination was blood tests (88.2%), followed by tomography (67.1%). When evaluating the types of examinations that affected patients the most, it was found that tomography (31.6%) and blood tests (23.7%) had the greatest impact. Table 2 Distribution of Patients According to Descriptive Characteristics Groups n % Age (Mean = 54.95 ± 14.94; Min = 23; Max = 80) 50 and under 28 36.8 51–60 20 26.3 61 and above 28 36.8 Gender Women 43 56.6 Men 33 43.4 Marital status Married 56 73.7 Single 20 26.3 Educational Status Elementary School 28 36.8 High School 19 25.0 University 29 38.2 Working Status Yes 38 50.0 No 38 50.0 Sector of Employment Private 27 71.1 Government 11 28.9 Alcohol Drinking Status Yes 35 46.1 No 41 53.9 Smoking Habit Yes 40 52.6 No 36 47.4 Family Cancer History Yes 40 52.6 No 36 47.4 Examinations Performed* Smear 19 25.0 Mammography 26 34.2 Ultrasonography 28 36.8 Occult Blood 13 17.1 Colonoscopy 31 40.8 Endoscopy 23 30.3 CT 51 67.1 Blood Tests 67 88.2 Other 5 6.6 Most Affecting Test Smear 4 5.3 Mammography 7 9.2 USG 4 5.3 Colonoscopy/ 7 9.2 Endoscopy 7 9.2 Tomography 24 31.5 Blood Tests 18 23.7 Other 5 6.6 * More than one selected item Examination of the mean values of the MPS shows that the mean value of the depression-unhappiness subscale is 18.697 ± 13.638 and the values vary between 0 and 56. This result shows that some people experience a high level of depression and unhappiness, while other participants do not experience these feelings at all (Table 3 ). Table 3 Mood Profile Average Scores n Mean SS Min. Max. Minimum Score Maximum Score Kurtosis Skewness Depression Dejection 76 18.69 13.63 0 56 0 60 -0.29 0.49 Tension Distress 76 11.92 8.66 0 33 0 36 -0.97 0.13 Anger Aggressiveness 76 14.15 11.62 0 45 0 48 -0.79 0.32 Confusion Confusion 76 8.57 6.98 0 27 0 28 -0.54 0.47 Fatigue Stagnation 76 10.27 6.73 0 25 0 28 -1.11 0.12 Vigor Activity 76 15.02 7.25 1 27 0 32 -1.02 -0.22 Total 76 48.60 42.35 -10 157 -32 200 -0.55 0.42 The mean score of the tension-stress subscale is 11.921 ± 8.662 and the scores vary between 0 and 33, indicating that the degree of tension varies from person to person and that some people do not feel tension at all. The mean score of the anger-aggression subscale was 14.158 ± 11.629, and the maximum score was 45. This result shows that some people experience feelings of anger and aggression intensely, while others do not experience these feelings at all. Examination of the surprise-surprise subscale shows that the values vary between 0 and 27 and the mean value is 8.579 ± 6.988. This indicates that the degree of confusion and cognitive confusion varies between individuals. The mean score of the fatigue-baggage subscale is 10.276 ± 6.738, and while some individuals experience the feeling of fatigue more intensely, others do not experience this feeling at all. The mean score of the Vigor-Activity subscale is 15.026 ± 7.255, and the scores were found to vary between 1 and 27. In contrast to other scales, the minimum score of 1 for vigor and activity means that all participants have a slight feeling of vitality. When the results of the total MPS were examined, it was found that the average was 48.605 ± 42.351 and the scores varied between − 10 and 157. Considering that the scale could theoretically vary between − 32 and 200, the scores obtained in this study seem reasonable for the range of the scale. The presence of negative scores indicates that some individuals have a very positive mood and experience little stress and negative emotions. When examining the differences in MPS by demographic variables, we find that there are significant differences between age groups (p < 0.05). Specifically, individuals aged 50 years and younger have the highest mean scores on all subscales, and mood disturbance scores were significantly lower in the 61 years and older age group. Post-hoc analyses show that the age group up to 50 years has significantly higher scores compared to the other groups and the age group 51–60 years has higher scores for mood disorders compared to 61 years and older (Table 4 ). Table 4 Differentiation of Mood Disorder Scores According to Descriptive Characteristics Demographic Characteristics n Depression, Moodiness Nervousness ,Distress Anger, Aggression Surprise, Surprise Fatigue, Stagnation Vigorous, Activity TDPÖ Points Age Mean ± SS Mean ± SS Mean ± SS Mean ± SS Mean ± SS Mean ± SS Mean ± SS 50 and under 28 27.78 ± 11.49 17.85 ± 6.46 21.92 ± 9.69 12.92 ± 5.85 15.21 ± 4.42 18.39 ± 5.03 77.32 ± 35.35 51–60 20 18.55 ± 10.61 12.40 ± 7.51 15.25 ± 9.93 8.85 ± 5.72 9.95 ± 5.25 16.90 ± 7.25 48.10 ± 33.73 61 and ove 28 9.71 ± 11.65 5.64 ± 7.02 5.60 ± 8.53 4.03 ± 6.10 5.57 ± 6.22 10.32 ± 6.82 20.25 ± 35.25 F= 17.79 21.64 21.52 15.85 22.67 12.50 18.72 p= 0.000 0.000 0.000 0.000 0.000 0.000 0.000 PostHoc= 1 > 2. 1 > 3. 2 > 3 (p 2. 1 > 3. 2 > 3 (p 2. 1 > 3. 2 > 3 (p 2. 1 > 3. 2 > 3 (p 2. 1 > 3. 2 > 3 (p 3. 2 > 3 (p 2. 1 > 3. 2 > 3 (p < 0.05) Gender Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Female 43 21.60 ± 11.89 14.18 ± 7.59 16.79 ± 10.71 10.39 ± 6.42 12.326 ± 5.76 17.32 ± 5.924 57.93 ± 37.73 Male 33 14.90 ± 14.96 8.97 ± 9.17 10.72 ± 12.03 6.21 ± 7.07 7.606 ± 7.05 11.90 ± 7.764 36.45 ± 45.44 t= 2.17 2.71 2.31 2.69 3.20 3.44 2.25 p= 0.033 0.008 0.023 0.009 0.002 0.002 0.027 Marital Status Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Married 56 16.20 ± 13.88 10.33 ± 8.72 12.19 ± 11.83 7.67 ± 7.40 9.03 ± 6.82 14.05 ± 7.35 41.44 ± 43.17 Single 20 25.55 ± 10.43 16.35 ± 6.90 19.65 ± 9.24 11.10 ± 4.98 13.75 ± 5.20 17.75 ± 6.36 68.65 ± 33.33 t= -2.72 -2.78 -2.54 -1.91 -2.80 -1.99 -2.55 p= 0.008 0.003 0.013 0.026 0.003 0.050 0.013 Education Status Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Primary school 28 14.75 ± 13.22 8.82 ± 8.16 10.21 ± 10.94 6.67 ± 7.13 8.10 ± 6.61 11.92 ± 7.22 36.64 ± 39.62 High school 19 14.68 ± 12.28 8.79 ± 7.96 10.21 ± 10.26 6.84 ± 6.53 8.15 ± 7.01 13.42 ± 6.43 35.26 ± 42.19 University 29 25.13 ± 12.76 16.96 ± 7.30 20.55 ± 10.51 11.55 ± 6.27 13.75 ± 5.23 19.06 ± 5.98 68.89 ± 38.14 F= 5.91 9.82 8.50 4.661 7.31 9.15 6.12 p= 0.004 0.000 0.000 0.012 0.001 0.000 0.003 PostHoc= 3 > 1. 3 > 2 (p 1. 3 > 2 (p 1. 3 > 2 (p 1. 3 > 2 (p 1. 3 > 2 (p 1. 3 > 2(p 1. 3 > 2 (p < 0.05) Employment Status Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Yes 38 23.77 ± 12.74 15.85 ± 7.44 18.91 ± 10.60 11.27 ± 6.70 13.15 ± 5.94 18.27 ± 6.62 64.68 ± 38.18 No 38 13.68 ± 12.74 7.97 ± 8.01 9.35 ± 10.72 5.91 ± 6.28 7.47 ± 6.34 11.86 ± 6.45 32.53 ± 40.60 t= 3.44 4.47 3.89 3.56 4.01 4.28 3.55 p= 0.001 0.000 0.000 0.001 0.000 0.000 0.001 Drinking Alcohol Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Yes 35 18.06 ± 13.18 11.40 ± 8.90 13.60 ± 11.53 7.94 ± 6.79 9.69 ± 6.58 13.94 ± 7.90 46.74 ± 40.88 No 41 19.20 ± 14.15 12.36 ± 8.53 14.64 ± 11.83 9.16 ± 7.18 10.89 ± 6.90 15.96 ± 6.60 50.20 ± 44.00 t= -0.35 -0.48 -0.38 -0.76 -0.77 -1.23 -0.35 p= 0.72 0.63 0.70 0.44 0.44 0.21 0.72 Smoking Habit Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Yes 40 13.50 ± 12.13 8.85 ± 8.72 10.30 ± 11.58 5.60 ± 5.96 7.45 ± 6.70 13.20 ± 8.126 32.50 ± 39.22 No 36 24.47 ± 13.06 15.31 ± 7.26 18.44 ± 10.21 11.83 ± 6.65 13.39 ± 5.31 17.00 ± 5.621 66.44 ± 38.82 t= -3.76 -3.52 -3.23 -4.27 -4.22 -2.314 -3.78 p= 0.000 0.001 0.002 0.000 0.000 0.021 0.000 Family History of Cancer Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Ort ± SS Yes 40 20.00 ± 12.68 13.47 ± 8.08 15.77 ± 11.15 9.02 ± 5.99 11.75 ± 6.41 16.25 ± 7.12 53.77 ± 40.35 No 36 17.25 ± 14.66 10.19 ± 9.06 12.36 ± 12.03 8.08 ± 8.00 8.63 ± 6.80 13.66 ± 7.25 42.86 ± 44.32 t= 0.87 1.66 1.28 0.58 2.05 1.56 1.12 p= 0.38 0.10 0.20 0.56 0.044 0.12 0.26 F: Anova Test; t: Independent Groups T-Test; PostHoc: Tukey, LSD(Least Significant Difference) In the gender-specific evaluation, it was found that women had higher mean values in all subscales compared to men and that this difference was statistically significant (p < 0.05). In particular, the values for depression-unhappiness (mean = 21.60), tension-stress (mean = 14.18) and anger-aggression (mean = 16.79) were significantly higher in women than in men. This result shows that women are more affected by mood swings and their psychological stress level is higher than that of men (Table 4 ). With regard to marital status, it was found that single people had significantly higher scores for mood disturbance in all subscales than married people (p < 0.05). In particular, the higher scores for depression-unhappiness (mean = 25.55), tension-stress (mean = 16.35) and TDS (mean = 68.65) in single people indicate that single people suffer more from emotional stress and psychological distress symptoms (Table 4 ). The analyses by educational level showed that university graduates had significantly higher scores for mood disorders compared to other groups (p < 0.05). The post-hoc analyses showed that university graduates had higher scores compared to primary and secondary school graduates. In particular, the scores for depression-discomfort (mean = 25.13), tension-stress (mean = 16.96) and MPS (mean = 68.89) were the highest. With regard to employment status, it was found that employed people had significantly higher scores for mood disorders compared to unemployed people (p < 0.05). When the average scores of these individuals were examined according to sub-dimensions, it was determined as Depression-Unhappiness (mean = 23.73), Tension-Distress (mean = 15.89) and total MPS (mean = 64.65) (Table 4 ). When evaluated in terms of alcohol consumption, no significant difference was found between individuals who used alcohol and those who did not (p > 0.05). Significant differences were also found between people who smoked and those who did not smoke (p 0.05). However, the fact that the score for fatigueand sluggishness was higher in individuals with a history of cancer (p = 0.044) indicates that these individuals experience more physical and mental fatigue (Table 4 ). Qualitative data findings The data obtained from the semi-structured interviews were examined according to themes and sub-themes. In this study, 2 main themes and 18 sub-themes were determined (Table 5 ). Table 5 Themes and Subthemes from Semi-Structured Interviews Themes Sub-themes *Number of views f Thoughts on Health Checks Not wanting to go to the controls 5 Health check-ups cause anxiety/uncertainty/possibility of bad results/lead to bad thoughts 6 Health checks are important/controls should not be missed/must be checked 10 Checks required 4 Controls should be carried out continuously and regularly 7 Controls are useful 3 Satisfaction with the controls 4 Provides information about my disease/shows the course of the disease 7 It makes me think positively 2 Effects of Controls on Individuals Relaxation 8 Peace 3 Trust 7 Rejoice 2 Happiness 4 Moral/Motivation 2 Tension 3 Depression 2 Worry 4 * More than one answer was given. Theme 1: Thoughts on health checks The first main theme in the study is the opinions about health checks. In this theme, 9 sub-themes were identified. When the participants were asked about their opinions on health checks, most of them (n = 10) stated that health checks are important and must be done. The following statements were identified: health checks should be done regularly (n = 7), provides information about my disease (n = 7), health checks cause anxiety (n = 6), unwillingness to go to controls (n = 5), controls are necessary (n = 4), satisfaction with controls (n = 4) and controls are useful (n = 3), makes me think positively (n = 2) (Table 5 ). A few participant views on this issue are given below: “At first I wanted not to come for the check-up, but then I realized that it got better the more I came, so I kept coming.” (H15) “The thought of bad results has a negative effect on me.” (H1) “ I gave my tomography report today, they said they would call me again, even this made me nervous ."(H10) “Controls need to be done. I need to find out what happened if I did not come, whether my disease progressed or regressed?” (H6) “ Controls should be done. I come often, I mean I come to feel comfortable."(H17) “I always come for my check-ups, I am satisfied .” (H5) “ If I don't go for a check-up, I would feel depressed, I would wonder if the disease had progressed or if there was something wrong .” (H12) Theme 2: Effects of controls on individuals The second main theme in the study is the effects of controls on individuals. In this theme, 9 sub-themes were identified. Participants were asked about the impact of health checks on them and the majority (n = 8) stated that they felt relief, followed by feelings of confidence (n = 8), happiness (n = 4), anxiety (n = 4), peace (n = 3), tension (n = 3), rejoice (n = 2), moral motivation (n = 2), and overwhelm (n = 2). A few participant views on this issue are given below: “ When I see my doctors when I come, I feel so happy, I feel peaceful, coming for check-ups gives me morale .” (H9) “ I relax, I feel more comfortable for 3 months .” (H4) “ My motivation increases as I come for check-ups. At the controls, you see the return of the treatment given .” (H2) “ Well, I feel very happy and peaceful ."(H11) “ It gives me more confidence to come to a health professional rather than getting ideas from uninformed people ."(H8) “ For example, I am here now, they said everything is fine, you can come next year, I am relieved, I will come to visit my doctors even if they tell me not to come anymore.” (H15) “The thought of bad results has a negative effect on me .” (H10) “ It makes you feel bad, I'm overwhelmed, now the doctor said it was something, but he said we'll fix it, let's see .” (H15) DISCUSSION Follow-ups after cancer treatment play a critical role in monitoring the health status of individuals and detecting cancer recurrence at an early stage [ 20 ]. However, although the physiological, psychological and social effects of follow-up processes on individuals have been discussed [ 20 , 21 ]. there are few studies on this subject. In the study, it was determined that the participation rate of women in follow-up checks was higher than men. Similarly, it is reported in the literature that women have more access to health services and are more sensitive to health checks [ 22 , 23 , 24 ]. This tendency of women suggests that their health literacy levels and preventive health behaviors may be more developed than men [ 25 ]. However, lower participation rates in men suggest that awareness programs for this group should be increased. In the study, it was found that the most frequently performed examinations were blood tests, while imaging methods such as tomography had a negative impact on patients (Table 2 and Table 3 ). The easy applicability and rapid results of blood tests increase the preference rate of these tests [ 26 , 27 ]. However, it is supported by the literature that tomography may increase stress and anxiety in patients due to factors such as fear of confined spaces and radiation exposure [ 26 , 27 ]. This suggests that not only physiological effects but also psychological effects should be taken into account in follow-up controls. In the study, it was found that total MPS scores varied in a wide range (-10 to 157). This shows that there are significant differences in the emotional reactions of individuals. It is important to support individuals experiencing stress and negative mood with psychosocial support programs. Psychosocial interventions have been proven to increase individuals' compliance with treatment and improve their quality of life in previous studies [ 28 , 29 , 30 ]. In the study, it was determined that total MPS scores showed significant differences according to demographic characteristics such as age, gender, marital status, education level and employment status. In this study, Depression-Disappointment, Tension-Distress and total MPS scores were found to be higher in working individuals. This result suggests that working life may bring psychological burden and may have an effect on mood. In the literature, it is stated in many studies that women, young individuals and working individuals have higher levels of emotional stress [ 31 , 32 ]. It is clear that these groups are more vulnerable in terms of risk factors and need personalized interventions. In particular, women's higher stress levels suggest that social and emotional support programs should be prioritized for this group. In the study, it was found that non-smokers had higher MPS scores compared to smokers (p < 0.05). This suggests that smoking may have a relaxing effect on individuals in the short term. Thoughts on health checks In this study, thoughts about health check-ups were identified as Theme 1 and participants' perceptions of health check-ups were elaborated. The findings show that health checks are generally considered important and necessary by the participants. In our study, the proportion of participants who stated that health checks are important and must be done is quite high (n = 10). Similarly, the necessity of regular health checks and their function of providing information about the disease were also emphasized by the participants (n = 7) (Table 5 ). These findings support that health checks play an important role in disease management and contribute to the formation of conscious health behaviors of individuals [ 33 ]. In our study, there were participants (n = 6) who stated that the controls were worrisome, which is thought to cause psychological stress in individuals and is supported by quantitative findings (Table 3 and Table 4 ). In a study, it was shown that health checks may increase uncertainty anxiety, especially in individuals with chronic diseases, and therefore some individuals may tend to avoid checks [ 34 ]. This suggests that individuals may need more psychosocial support mechanisms during health checks. In the study, some participants expressed reluctance towards health checks (n = 5), while others expressed satisfaction with health checks (n = 4) and thought that the checks were beneficial (n = 3) (Table 5 ). Health checks create a sense of trust in individuals and contribute to health management [ 33 , 35 ]. This supports the idea that individuals realize that the control process is important in protecting their health, but they are concerned about the negative consequences. In parallel, the quantitative data are in line with the statements of the participants. Effects of health checks on individuals In this study, when the effects of health checks on individuals are analyzed, it is seen that most of the participants perceived health checks as a positive experience. It was determined that health check-ups most frequently created a feeling of relaxation and trust (Table 5 ). These findings suggest that health check-ups play an important role in individuals' psychological well-being [ 36 ]. In particular, it is understood that regular check-ups provide mental relaxation and morale to the patients. However, health check-ups have also been found to cause negative emotions such as anxiety, tension and overwhelm in some individuals. In particular, the uncertainty of the test results and the fear of receiving possible bad news about the disease are thought to cause an increase in negative emotions. Similarly, the literature suggests that health checks can have both positive and negative psychological effects on individuals [ 37 – 40 ]. It has been found that regular conversations with health professionals help patients to better understand their health status and this provides them with confidence and peace of mind [ 37 , 39 ], while uncertainty and anxiety about outcomes can cause stress and anxiety in some individuals [ 38 , 40 ]. Clinical implications In this process, individuals should be supported in every aspect to reduce anxiety and improve the experience during the examinations and health checks. Follow-ups after cancer treatment should be planned with a multidisciplinary and holistic approach not only to detect recurrence, but also to support the biopsychosocial needs of individuals. Similar studies to be conducted in different centers and in a larger patient population may contribute to a more comprehensive evaluation of the results obtained and increase their generalizability. The role of nurses in the treatment process should include not only physical care, but also holistic and patient-oriented, as well as meeting the psychological and social needs of individuals. Limitations The study was conducted in a single center and the results obtained were limited to the group of patients who applied to this center. Therefore, it is not appropriate to generalize the findings of the study to all cancer patients. CONCLUSION Health checks following cancer treatment have been found to be challenging for some individuals in terms of physiological, psychological and social aspects. The findings obtained in this study show that follow-up examinations have both positive and negative effects on individuals and that these processes should be assessed multidimensionally. Declarations Ethics approval and consent to participate Prior to the collection of research data, approval was obtained from Haliç University Noninterventional Clinical Research Ethics Committee (date:30.10.2023, number:241) After the approval and institutional permission (date:23.1.2024, number:2370101) from the university hospital to which the participants to be included in the study applied, data collection was initiated and written and verbal consent was obtained from the participants. Permission to use the scale was obtained from the owner of the scale by email. This study was prepared in accordance with the ethical principles stated in the Declaration of Helsinki. Consent for publication Not applicable Availability of data and materials The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. Competing interests The authors have no conflict of interest to declare, and this is an unfunded work. Funding This research has not received a specific grant from any funding agency in the public, commercial or not-for-profit sectors. Author contributions All authors read and approved the final manuscript. Aknowledgements We would like to thank all our patients who participated in this study for their support and mutual exchange of information. References de Boer AGEM, Torp S, Popa A, Horsboel T, Zadnik, Rottenberg Y, Bardi,E, Bultmann U. and Sharp L. 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Duffy S, Vulkan D, Cuckle H, Parmar D, Sheikh S, Smith R, Evans A. et al. Annual mammographic screening to reduce breast cancer mortality in women from age 40 years: long-term follow-up of the UK age RCT. Health Technol Assess. 2020; 24(55);1–24. https://doi.org/10.3310/hta24550 . Hajjawi, M.O.R., Wang, Q., Presneau, N., & Ladomery, M.R. Editorial: Advances in cancer diagnosis and treatment. Br J Biomed Sci. 2024: 81 ;13618. https://doi.org/10.3389/bjbs.2024.13618 Rubinstein WS., Patriotis C, Dickherber A, Han PKJ, Katki HA, Lee Van E, Pinsky PF. et al. Cancer screening with multicancer detection tests: A translational science review. CA Cancer J Clin. 2024; 74 (4):368–382. https://doi.org/10.3322/caac.21833 Aydin M, Kose E, Odabas I, Meric BB, Demirci D, Aydin Z. The effect of exercise on life quality and depression levels of breast cancer patients. 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Med . 2024; 5 (8):926–942.e3. https://doi.org/10.1016/j.medj.2024.04.002 Sjattar EL, Arafat R, Ling LW. Cancer pain self-management interventions in adults: scoping review. BMJ Support Palliat Care. 2024;20;14(4);411-415. doi: 10.1136/spcare-2024-004893 Uronen L, Salanterä S, Hakala K, Hartiala J, Moen H. Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks. Int J Med Inform. 2022:160;104695. doi: 10.1016/j.ijmedinf.2022.104695 Sin C, Lee DY, Kim H, Im HS, Koh SJ, Kang DY. Effectiveness of self-reported management program of cancer patients. Digit Health. 2024;23:10:20552076241253090. doi: 10.1177/20552076241253090 Liu Z, Liao Y, Hwang CL, Rethorst CD, Zhang X. Associations of online health information seeking with health behaviors of cancer survivors. Digit Health. 2024; 15:10:20552076241238074. doi: 10.1177/20552076241238074 Greer JA, Applebaum AJ, Jacobsen JC, Temel JS, Jackson VA. Understanding and addressing the role of coping in palliative care for patients with advanced Cancer. J Clin Oncol. 2020;20:38(9):915-925. doi: 10.1200/JCO.19.00013 Liss DT, Uchida T, Wilkes CL, Radakrishnan A, Linder JA. General health checks in adult primary care: A review. JAMA. 2021;8:325(22):2294-2306. doi: 10.1001/jama.2021.6524. Jadidi A, Ameri F. Social Support and meaning of life in women with breast cancer. Ethiop J Health Sci. 2022:2(4);709-714. doi: 10.4314/ejhs.v32i4.6. Bidstrup PE, Johansen C, Kroman N, Belmonte F, Duriaud H, Dalton SO, Andersen KG, Mertz B. Effect of a nurse navigation ıntervention on mental symptoms in patients with psychological vulnerability and breast cancer: The Rebecca randomized clinical trial. JAMA Netw Open. 2023;1;6(6):e2319591. doi: 10.1001/jamanetworkopen.2023. Additional Declarations No competing interests reported. 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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-6997093","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":499686576,"identity":"75f9406a-f09c-4165-961b-c1a374957989","order_by":0,"name":"Yasemin ÖZER GÜÇLÜEL","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/UlEQVRIiWNgGAWjYNACAzDJ+JiBwYIHxJIgVguzMVAxTIsBUXaxScPMx6vF4Pjxh49uFNyRk2/vfVZdUCMhw9/AfPA2D8OffJxazuQYG+cYPDNm7DludnvGMQkeiQNsydY8DAaWDbi0HMhhk84xOJzYLJHGdpuHTYLHgIHHTBqoBafLDM4/f/4bpKVN/hlbMc8/kBb+b/i13EgwYwZp6ZFgY2PmbQPbwoZXi+SNN8YghxlL8KQxS/P2Af1ymM3Yco6BMU4tfOfTH37O+XMYGGLHGD/zfLOx529vfnjjTYUcTi0KBzCEmMEOxqWBgUG+AbfcKBgFo2AUjAIIAAAIN0cnkpisEgAAAABJRU5ErkJggg==","orcid":"","institution":"Halic University-Faculty of Health Sciences, Department of Nursing","correspondingAuthor":true,"prefix":"","firstName":"Yasemin","middleName":"ÖZER","lastName":"GÜÇLÜEL","suffix":""},{"id":499686577,"identity":"9cdf6408-82c6-438a-943b-335015f1fd19","order_by":1,"name":"Gülcan KENDİRKIRAN","email":"","orcid":"","institution":"Halic University-Faculty of Health Sciences, Department of Nursing","correspondingAuthor":false,"prefix":"","firstName":"Gülcan","middleName":"","lastName":"KENDİRKIRAN","suffix":""},{"id":499686578,"identity":"91168e2f-271f-4b36-9421-a8e2d87b3be8","order_by":2,"name":"Ayşenur ÇETİN ÜÇERİZ","email":"","orcid":"","institution":"Halic University-Faculty of Health Sciences, Department of Nursing","correspondingAuthor":false,"prefix":"","firstName":"Ayşenur","middleName":"ÇETİN","lastName":"ÜÇERİZ","suffix":""},{"id":499686579,"identity":"b63e2376-8b4a-463e-af92-3f7757fcabcb","order_by":3,"name":"Hülya DALKILIÇ BİNGÖL","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine Hospital / Oncology Institute","correspondingAuthor":false,"prefix":"","firstName":"Hülya","middleName":"DALKILIÇ","lastName":"BİNGÖL","suffix":""},{"id":499686580,"identity":"742ed5cc-a068-415f-aea3-83e694dc36fa","order_by":4,"name":"Şule KARAMAN","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine Hospital / Oncology Institute","correspondingAuthor":false,"prefix":"","firstName":"Şule","middleName":"","lastName":"KARAMAN","suffix":""}],"badges":[],"createdAt":"2025-06-28 10:08:27","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6997093/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6997093/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":97248606,"identity":"b8c06d24-df1d-404f-921d-01d08e88228e","added_by":"auto","created_at":"2025-12-02 13:04:03","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1621625,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6997093/v1/33c505e3-92cf-4545-a4b4-a645e9375786.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eThe Impact of Post-Cancer Treatment Health Examinations on Individuals: A Mİxed-Methods Study\u003c/p\u003e","fulltext":[{"header":"BACKGROUND","content":"\u003cp\u003eAdvances in cancer treatment have prolonged life after cancer and increased survival rates [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Despite the higher survival rate, cancer treatment has many side effects that can last for months [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. The occurrence of these effects can vary depending on the type of cancer, the treatment used, age and other factors [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. After any cancer treatment, patients need regular follow-up care to identify health problems, detect recurrences, provide psychosocial support and reintegrate patients into their work and family life [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eCancer patients should be considered as a special group compared to other patients [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. These individuals have more biopsychosocial problems and unmet needs than other patient groups [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Cancer requires continuous care and aftercare. Therefore, support from nurses is very important for these patients at every stage [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Nurses are at the forefront of meeting the aftercare and care needs of patients following cancer treatment [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Follow-up care can usually take the form of outpatient treatment monitoring and regular monthly check-ups for patients, extending to annual follow-up over time. As recurrences usually occur immediately after the first treatment, the recommended follow-up interval may be shorter (3–6 months) in the first two years and longer (6–12 months) thereafter. The question of which cases require follow-up care has not been systematically determined for each case [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. There is uncertainty about how post-treatment aftercare affects individuals [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The most important outcome that patients want to hear as a result of follow-up is that the disease has not recurred. Some patients are very eager to have follow-up tests to get the news that the disease has not recurred. For some patients, follow-up visits can lead to uncertainty and stress, which may not be beneficial for patients [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe aim of this study is to determine the effects of health checks carried out after cancer treatment on the individual.\u003c/p\u003e\u003cp\u003eThe question of the study was determined as: \"What is the effect of health checks after cancer treatment on individuals?\"\u003c/p\u003e\u003cp\u003e\u003c/p\u003e"},{"header":"METHODS","content":"\u003cp\u003e\u003cstrong\u003eResearch type\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was designed as a mixed method study using methods and techniques based on cross-sectional, descriptive, quantitative and qualitative approaches in a holistic manner. The explanatory sequential design of mixed methods studies was used in the study [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e14\u003c/span\u003e]. The study consisted of two stages: Stage 1 was a survey and scale study, and Stage 2 was a structured questionnaire. The purpose of choosing two designs together in this study is to benefit from the advantages of quantitative and qualitative designs and to gain a more detailed and comprehensive understanding of individuals\u0026apos; thoughts about health checks. GRAMMS report guide was used in the research.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSample of the study\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe research was conducted between January 24 and February 24, 2024. In the qualitative research section, data repetition and data saturation were accepted to determine the sample size [\u003cspan class=\"CitationRef\"\u003e15\u003c/span\u003e]. In order to achieve the greatest possible diversity in terms of age, gender and education level, purposive sample selection was made. The literature review on this topic found that the sample size ranged from 7 to 20 [\u003cspan class=\"CitationRef\"\u003e16\u003c/span\u003e]. The qualitative part was conducted with 15 volunteer participants.\u003c/p\u003e\n\u003cp\u003eFor the quantitative part of the study, the population was set at 100 patients, corresponding to the number of patients who had presented to the hospital for treatment in the last 2 months, and the sample size was calculated accordingly. The number of patients to be reached was set at 80. Since 4 people had filled out their forms incompletely, 76 people were included in the study (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tab1\" border=\"1\" class=\"fr-table-selection-hover\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eFeatures of the Working Group\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\u003ePhase 1 - Quantitative\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePhase 2 - Qualitative\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\u003eSample of the Study\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIndividuals who have completed cancer treatment, are over the age of 18, and are oncology outpatient follow-up.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIndividuals who have completed cancer treatment, are over the age of 18, and are oncology outpatient follow-up.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eSample Size\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e76 participants\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15 participants\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eMethod\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eQuestionnaire, Mood Profile Scale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePhenomenology Content analysis\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003ePurpose\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSurvey results\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCreating themes and subthemes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eInclusion and exclusion criteria\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePatients who completed cancer treatment, were over the age of 18, and came to the oncology clinic for follow-up were included in the study, and patients who filled out the forms incompletely were excluded from the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData collection tools\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQuantitative tools\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Personal Information Form and the Mood Profile Scale were used to obtain quantitative data.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThe Personal Information Form\u003c/em\u003e is a form consisting of 12 questions created by the researchers based on literature thereferences [\u003cspan class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e17\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThe Mood Profile Scale\u003c/em\u003e was developed in 1971 by McNair and his colleagues to determine the mood profile. Their validity and reliability study in our country was conducted by Selvi et al. [\u003cspan class=\"CitationRef\"\u003e18\u003c/span\u003e]. The scale contains 15 questions to calculate the sub-dimensions of depression - discomfort, 9 questions tension - stress, 12 questions anger - aggression, 7 questions surprise - surprise, 7 questions fatigue - stagnation and 7 questions vitality- activity. The higher the score in response to the items, the higher the emotion in this item [\u003cspan class=\"CitationRef\"\u003e18\u003c/span\u003e]. To determine the total Mood Profile Scale (MPS) in the scale, the scores of the items are added together, with the exception of the items under the vitalityactivity subheadings. The total score is obtained by subtracting the total score of the items under the vigouractivity heading.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQualitative tools\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe semi-structured interview form was used as a data collection tool. The semi-structured interview form developed by the researchers consists of 2 questions. Initially, the draft interview form consisting of 3 questions was tested on 4 patients and expert opinions were obtained from 3 faculty members (one from educational sciences, two from health sciences). After revision based on the expert opinions and the pilot tests, the questions of the semi-structured interview form were defined as follows:\u003c/p\u003e\n\u003cp\u003e- What do you think about health checks after cancer treatment?\u003c/p\u003e\n\u003cp\u003e- What impact do health checks after cancer treatment have on you?\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn both parts of the study, the technique of individual interviews was used. In a quiet environment in the research clinic, participants were asked to complete the questionnaire and scale with their knowledge and consent.\u003c/p\u003e\n\u003cp\u003eA day and time were set for the interviews with the volunteers who wanted to participate in the study to obtain qualitative data, and the interviews lasted an average of 15 minutes. Patients were not called for the study and were scheduled to be interviewed on the day they were present or at the next treatment or follow-up processes. Participants were asked to read and complete the informed consent form and their written consent was obtained. The interviews were recorded with the knowledge and permission of the participants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eValidity and reliability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe methods of credibility, transferability, consistency and confirmability, which are widely used to ensure validity and reliability in qualitative research, were also used in this study. In qualitative research, the direct presentation of results without interpretation increases the reliability of the study [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e]. For this reason, the raw data were anonymized by labeling (H1. H2, H3\u0026hellip;......) and the patients\u0026apos; opinions were reproduced unchanged in the results section to ensure reliability. The audio recordings and interview notes in the computer environment were protected with a password.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEvaluation of data\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQuantitative and qualitative data were collected and analysed separately.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEvaluating quantitative data\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data obtained in the study were analysed in a computer environment using the statistical programme IBM SPSS Statistics for Windows, Version 22.0 (SPSS INC., Chicago, IL, USA). Frequency and percentage analyses were used to determine the descriptive characteristics of the patients participating in the study, and mean and standard deviation statistics were used to analyse the scale. Kurtosis and skewness values were examined to determine whether the research variables had a normal distribution. The variables were found to have a normal distribution. Parametric methods were used to analyse the data. Independent groups t-test, one-way analysis of variance (Anova) and post-hoc analyses (Tukey, LSD) were used to examine the differences in scale levels according to the descriptive characteristics of the patients.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEvaluating qualitative data\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe recordings of the interviews were transferred to the computer by the researchers. After listening to the recordings three times, the participants\u0026apos; statements were categorized into themes according to their importance. The data were analyzed using the traditional content analysis approach [\u003cspan class=\"CitationRef\"\u003e19\u003c/span\u003e]. The themes that emerged from the content analysis of the interviews were listed and sub-themes were created. The recurring concepts in the text were grouped under the same themes to obtain units of meaning. The content analysis of the interviews was listed and then sub-themes were created. During the data analysis, the computer program Nvivo 8 was used to manage the data and support the analyzes in the qualitative research. After the content analysis, an expert opinion was obtained to assess the suitability of the themes.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003e\u003cb\u003eQuantitative data findings\u003c/b\u003e\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows that when examining the age distribution of the people participating in the study, the groups under 50 and over 61 are equally represented (36.8%) and participants aged 51\u0026ndash;60 make up 26.3% (mean\u0026thinsp;=\u0026thinsp;54.950\u0026thinsp;\u0026plusmn;\u0026thinsp;14.942; min\u0026thinsp;=\u0026thinsp;23; max\u0026thinsp;=\u0026thinsp;80). Looking at the gender distribution, 56.6% of the participants are female and 43.4% male. When analysing by marital status, it is found that the majority of people are married (73.7%), and when examining the distribution by education level, it is found that the proportion of university graduates is 38.2%. When examining the employment status, it was found that the persons were equally divided between employed (50.0%) and unemployed (50.0%). It was found that 71.1% of employed persons worked in the private sector and 28.9% in the public sector. In terms of alcohol consumption, it was found that 53.9% of participants did not drink alcohol, and in terms of smoking habits, it was found that 52.6% smoked. The proportion of people with a family history of cancer was 52.6%. When examining the distribution of examinations performed by the participants, it was found that the most frequently performed examination was blood tests (88.2%), followed by tomography (67.1%). When evaluating the types of examinations that affected patients the most, it was found that tomography (31.6%) and blood tests (23.7%) had the greatest impact.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eDistribution of Patients According to Descriptive Characteristics\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGroups\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003en\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e%\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003eAge (Mean\u0026thinsp;=\u0026thinsp;54.95\u0026thinsp;\u0026plusmn;\u0026thinsp;14.94; Min\u0026thinsp;=\u0026thinsp;23; Max\u0026thinsp;=\u0026thinsp;80)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e50 and under\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e51\u0026ndash;60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e26.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e61 and above\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGender\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eWomen\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e56.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMen\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e43.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMarital status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMarried\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e73.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSingle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e26.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eEducational Status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eElementary School\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHigh School\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e25.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eUniversity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e38.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eWorking Status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e50.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e50.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSector of Employment\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePrivate\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e71.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGovernment\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e28.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAlcohol Drinking Status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e46.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e53.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSmoking Habit\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e52.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e47.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eFamily Cancer History\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e52.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e47.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eExaminations Performed*\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSmear\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e25.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMammography\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e34.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eUltrasonography\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eOccult Blood\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e17.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eColonoscopy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e40.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eEndoscopy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e30.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e67.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBlood Tests\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e88.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eOther\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e6.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMost Affecting Test\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSmear\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e5.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMammography\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e9.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eUSG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e5.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eColonoscopy/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e9.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eEndoscopy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e9.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTomography\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e31.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBlood Tests\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e23.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eOther\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e6.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"3\"\u003e* More than one selected item\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eExamination of the mean values of the MPS shows that the mean value of the depression-unhappiness subscale is 18.697\u0026thinsp;\u0026plusmn;\u0026thinsp;13.638 and the values vary between 0 and 56. This result shows that some people experience a high level of depression and unhappiness, while other participants do not experience these feelings at all (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eMood Profile Average Scores\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"10\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003en\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eMean\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSS\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eMin.\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eMax.\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMinimum Score\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMaximum Score\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eKurtosis\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eSkewness\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDepression Dejection\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e18.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e13.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-0.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.49\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTension Distress\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e11.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e8.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-0.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.13\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAnger Aggressiveness\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-0.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.32\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eConfusion Confusion\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e6.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-0.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.47\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFatigue Stagnation\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e6.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-1.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eVigor Activity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e15.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e7.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-1.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.22\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTotal\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e48.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e42.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e157\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e200\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e-0.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.42\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe mean score of the tension-stress subscale is 11.921\u0026thinsp;\u0026plusmn;\u0026thinsp;8.662 and the scores vary between 0 and 33, indicating that the degree of tension varies from person to person and that some people do not feel tension at all.\u003c/p\u003e\u003cp\u003eThe mean score of the anger-aggression subscale was 14.158\u0026thinsp;\u0026plusmn;\u0026thinsp;11.629, and the maximum score was 45. This result shows that some people experience feelings of anger and aggression intensely, while others do not experience these feelings at all.\u003c/p\u003e\u003cp\u003eExamination of the surprise-surprise subscale shows that the values vary between 0 and 27 and the mean value is 8.579\u0026thinsp;\u0026plusmn;\u0026thinsp;6.988. This indicates that the degree of confusion and cognitive confusion varies between individuals.\u003c/p\u003e\u003cp\u003eThe mean score of the fatigue-baggage subscale is 10.276\u0026thinsp;\u0026plusmn;\u0026thinsp;6.738, and while some individuals experience the feeling of fatigue more intensely, others do not experience this feeling at all.\u003c/p\u003e\u003cp\u003eThe mean score of the Vigor-Activity subscale is 15.026\u0026thinsp;\u0026plusmn;\u0026thinsp;7.255, and the scores were found to vary between 1 and 27. In contrast to other scales, the minimum score of 1 for vigor and activity means that all participants have a slight feeling of vitality.\u003c/p\u003e\u003cp\u003eWhen the results of the total MPS were examined, it was found that the average was 48.605\u0026thinsp;\u0026plusmn;\u0026thinsp;42.351 and the scores varied between \u0026minus;\u0026thinsp;10 and 157. Considering that the scale could theoretically vary between \u0026minus;\u0026thinsp;32 and 200, the scores obtained in this study seem reasonable for the range of the scale. The presence of negative scores indicates that some individuals have a very positive mood and experience little stress and negative emotions.\u003c/p\u003e\u003cp\u003eWhen examining the differences in MPS by demographic variables, we find that there are significant differences between age groups (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Specifically, individuals aged 50 years and younger have the highest mean scores on all subscales, and mood disturbance scores were significantly lower in the 61 years and older age group. Post-hoc analyses show that the age group up to 50 years has significantly higher scores compared to the other groups and the age group 51\u0026ndash;60 years has higher scores for mood disorders compared to 61 years and older (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eDifferentiation of Mood Disorder Scores According to Descriptive Characteristics\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"9\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDemographic Characteristics\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003en\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDepression, Moodiness\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eNervousness ,Distress\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAnger, Aggression\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSurprise, Surprise\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eFatigue, Stagnation\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eVigorous, Activity\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eTDP\u0026Ouml;\u003c/p\u003e\u003cp\u003ePoints\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e50 and under\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e27.78\u0026thinsp;\u0026plusmn;\u0026thinsp;11.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e17.85\u0026thinsp;\u0026plusmn;\u0026thinsp;6.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e21.92\u0026thinsp;\u0026plusmn;\u0026thinsp;9.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e12.92\u0026thinsp;\u0026plusmn;\u0026thinsp;5.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e15.21\u0026thinsp;\u0026plusmn;\u0026thinsp;4.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e18.39\u0026thinsp;\u0026plusmn;\u0026thinsp;5.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e77.32\u0026thinsp;\u0026plusmn;\u0026thinsp;35.35\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e51\u0026ndash;60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e18.55\u0026thinsp;\u0026plusmn;\u0026thinsp;10.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e12.40\u0026thinsp;\u0026plusmn;\u0026thinsp;7.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e15.25\u0026thinsp;\u0026plusmn;\u0026thinsp;9.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e8.85\u0026thinsp;\u0026plusmn;\u0026thinsp;5.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e9.95\u0026thinsp;\u0026plusmn;\u0026thinsp;5.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e16.90\u0026thinsp;\u0026plusmn;\u0026thinsp;7.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e48.10\u0026thinsp;\u0026plusmn;\u0026thinsp;33.73\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e61 and ove\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e9.71\u0026thinsp;\u0026plusmn;\u0026thinsp;11.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e5.64\u0026thinsp;\u0026plusmn;\u0026thinsp;7.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e5.60\u0026thinsp;\u0026plusmn;\u0026thinsp;8.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.03\u0026thinsp;\u0026plusmn;\u0026thinsp;6.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e5.57\u0026thinsp;\u0026plusmn;\u0026thinsp;6.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e10.32\u0026thinsp;\u0026plusmn;\u0026thinsp;6.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e20.25\u0026thinsp;\u0026plusmn;\u0026thinsp;35.25\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eF=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e17.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e21.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e21.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e15.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" 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colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePostHoc=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1\u0026thinsp;\u0026gt;\u0026thinsp;2. 1\u0026thinsp;\u0026gt;\u0026thinsp;3. 2\u0026thinsp;\u0026gt;\u0026thinsp;3\u003c/p\u003e\u003cp\u003e(p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1\u0026thinsp;\u0026gt;\u0026thinsp;2. 1\u0026thinsp;\u0026gt;\u0026thinsp;3. 2\u0026thinsp;\u0026gt;\u0026thinsp;3 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(p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e1\u0026thinsp;\u0026gt;\u0026thinsp;2. 1\u0026thinsp;\u0026gt;\u0026thinsp;3. 2\u0026thinsp;\u0026gt;\u0026thinsp;3 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGender\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFemale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e21.60\u0026thinsp;\u0026plusmn;\u0026thinsp;11.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e14.18\u0026thinsp;\u0026plusmn;\u0026thinsp;7.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e16.79\u0026thinsp;\u0026plusmn;\u0026thinsp;10.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e10.39\u0026thinsp;\u0026plusmn;\u0026thinsp;6.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e12.326\u0026thinsp;\u0026plusmn;\u0026thinsp;5.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e17.32\u0026thinsp;\u0026plusmn;\u0026thinsp;5.924\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e57.93\u0026thinsp;\u0026plusmn;\u0026thinsp;37.73\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e14.90\u0026thinsp;\u0026plusmn;\u0026thinsp;14.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.97\u0026thinsp;\u0026plusmn;\u0026thinsp;9.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e10.72\u0026thinsp;\u0026plusmn;\u0026thinsp;12.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e6.21\u0026thinsp;\u0026plusmn;\u0026thinsp;7.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e7.606\u0026thinsp;\u0026plusmn;\u0026thinsp;7.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e11.90\u0026thinsp;\u0026plusmn;\u0026thinsp;7.764\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e36.45\u0026thinsp;\u0026plusmn;\u0026thinsp;45.44\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" 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colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e0.033\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e0.008\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0.023\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e0.009\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0.027\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMarital Status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMarried\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e16.20\u0026thinsp;\u0026plusmn;\u0026thinsp;13.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10.33\u0026thinsp;\u0026plusmn;\u0026thinsp;8.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e12.19\u0026thinsp;\u0026plusmn;\u0026thinsp;11.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7.67\u0026thinsp;\u0026plusmn;\u0026thinsp;7.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e9.03\u0026thinsp;\u0026plusmn;\u0026thinsp;6.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e14.05\u0026thinsp;\u0026plusmn;\u0026thinsp;7.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e41.44\u0026thinsp;\u0026plusmn;\u0026thinsp;43.17\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSingle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e25.55\u0026thinsp;\u0026plusmn;\u0026thinsp;10.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e16.35\u0026thinsp;\u0026plusmn;\u0026thinsp;6.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e19.65\u0026thinsp;\u0026plusmn;\u0026thinsp;9.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e11.10\u0026thinsp;\u0026plusmn;\u0026thinsp;4.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e13.75\u0026thinsp;\u0026plusmn;\u0026thinsp;5.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e17.75\u0026thinsp;\u0026plusmn;\u0026thinsp;6.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e68.65\u0026thinsp;\u0026plusmn;\u0026thinsp;33.33\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003et=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-2.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-2.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-2.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-1.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" 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colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0.050\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0.013\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eEducation Status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePrimary school\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e14.75\u0026thinsp;\u0026plusmn;\u0026thinsp;13.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.82\u0026thinsp;\u0026plusmn;\u0026thinsp;8.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e10.21\u0026thinsp;\u0026plusmn;\u0026thinsp;10.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e6.67\u0026thinsp;\u0026plusmn;\u0026thinsp;7.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e8.10\u0026thinsp;\u0026plusmn;\u0026thinsp;6.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e11.92\u0026thinsp;\u0026plusmn;\u0026thinsp;7.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e36.64\u0026thinsp;\u0026plusmn;\u0026thinsp;39.62\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHigh school\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e14.68\u0026thinsp;\u0026plusmn;\u0026thinsp;12.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.79\u0026thinsp;\u0026plusmn;\u0026thinsp;7.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e10.21\u0026thinsp;\u0026plusmn;\u0026thinsp;10.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e6.84\u0026thinsp;\u0026plusmn;\u0026thinsp;6.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e8.15\u0026thinsp;\u0026plusmn;\u0026thinsp;7.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e13.42\u0026thinsp;\u0026plusmn;\u0026thinsp;6.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e35.26\u0026thinsp;\u0026plusmn;\u0026thinsp;42.19\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eUniversity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e25.13\u0026thinsp;\u0026plusmn;\u0026thinsp;12.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e16.96\u0026thinsp;\u0026plusmn;\u0026thinsp;7.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e20.55\u0026thinsp;\u0026plusmn;\u0026thinsp;10.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e11.55\u0026thinsp;\u0026plusmn;\u0026thinsp;6.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e13.75\u0026thinsp;\u0026plusmn;\u0026thinsp;5.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e19.06\u0026thinsp;\u0026plusmn;\u0026thinsp;5.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e68.89\u0026thinsp;\u0026plusmn;\u0026thinsp;38.14\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eF=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e5.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e9.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e8.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.661\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e7.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e9.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e6.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ep=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e0.012\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePostHoc=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2(p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e3\u0026thinsp;\u0026gt;\u0026thinsp;1. 3\u0026thinsp;\u0026gt;\u0026thinsp;2 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eEmployment Status\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e23.77\u0026thinsp;\u0026plusmn;\u0026thinsp;12.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15.85\u0026thinsp;\u0026plusmn;\u0026thinsp;7.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e18.91\u0026thinsp;\u0026plusmn;\u0026thinsp;10.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e11.27\u0026thinsp;\u0026plusmn;\u0026thinsp;6.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e13.15\u0026thinsp;\u0026plusmn;\u0026thinsp;5.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e18.27\u0026thinsp;\u0026plusmn;\u0026thinsp;6.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e64.68\u0026thinsp;\u0026plusmn;\u0026thinsp;38.18\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e13.68\u0026thinsp;\u0026plusmn;\u0026thinsp;12.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e7.97\u0026thinsp;\u0026plusmn;\u0026thinsp;8.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e9.35\u0026thinsp;\u0026plusmn;\u0026thinsp;10.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5.91\u0026thinsp;\u0026plusmn;\u0026thinsp;6.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e7.47\u0026thinsp;\u0026plusmn;\u0026thinsp;6.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e11.86\u0026thinsp;\u0026plusmn;\u0026thinsp;6.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" 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colname=\"c1\"\u003e\u003cp\u003ep=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eDrinking Alcohol\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e18.06\u0026thinsp;\u0026plusmn;\u0026thinsp;13.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e11.40\u0026thinsp;\u0026plusmn;\u0026thinsp;8.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e13.60\u0026thinsp;\u0026plusmn;\u0026thinsp;11.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7.94\u0026thinsp;\u0026plusmn;\u0026thinsp;6.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e9.69\u0026thinsp;\u0026plusmn;\u0026thinsp;6.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e13.94\u0026thinsp;\u0026plusmn;\u0026thinsp;7.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e46.74\u0026thinsp;\u0026plusmn;\u0026thinsp;40.88\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e19.20\u0026thinsp;\u0026plusmn;\u0026thinsp;14.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e12.36\u0026thinsp;\u0026plusmn;\u0026thinsp;8.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e14.64\u0026thinsp;\u0026plusmn;\u0026thinsp;11.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e9.16\u0026thinsp;\u0026plusmn;\u0026thinsp;7.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e10.89\u0026thinsp;\u0026plusmn;\u0026thinsp;6.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e15.96\u0026thinsp;\u0026plusmn;\u0026thinsp;6.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e50.20\u0026thinsp;\u0026plusmn;\u0026thinsp;44.00\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003et=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-0.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-0.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-0.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-1.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-0.35\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ep=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0.72\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSmoking Habit\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e13.50\u0026thinsp;\u0026plusmn;\u0026thinsp;12.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.85\u0026thinsp;\u0026plusmn;\u0026thinsp;8.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e10.30\u0026thinsp;\u0026plusmn;\u0026thinsp;11.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5.60\u0026thinsp;\u0026plusmn;\u0026thinsp;5.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e7.45\u0026thinsp;\u0026plusmn;\u0026thinsp;6.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e13.20\u0026thinsp;\u0026plusmn;\u0026thinsp;8.126\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e32.50\u0026thinsp;\u0026plusmn;\u0026thinsp;39.22\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e24.47\u0026thinsp;\u0026plusmn;\u0026thinsp;13.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15.31\u0026thinsp;\u0026plusmn;\u0026thinsp;7.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e18.44\u0026thinsp;\u0026plusmn;\u0026thinsp;10.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e11.83\u0026thinsp;\u0026plusmn;\u0026thinsp;6.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e13.39\u0026thinsp;\u0026plusmn;\u0026thinsp;5.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e17.00\u0026thinsp;\u0026plusmn;\u0026thinsp;5.621\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e66.44\u0026thinsp;\u0026plusmn;\u0026thinsp;38.82\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003et=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-3.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-3.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-3.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-4.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-4.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-2.314\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e-3.78\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ep=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003e0.001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0.002\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0.021\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0.000\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eFamily History of Cancer\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eOrt\u0026thinsp;\u0026plusmn;\u0026thinsp;SS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e20.00\u0026thinsp;\u0026plusmn;\u0026thinsp;12.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e13.47\u0026thinsp;\u0026plusmn;\u0026thinsp;8.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e15.77\u0026thinsp;\u0026plusmn;\u0026thinsp;11.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e9.02\u0026thinsp;\u0026plusmn;\u0026thinsp;5.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e11.75\u0026thinsp;\u0026plusmn;\u0026thinsp;6.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e16.25\u0026thinsp;\u0026plusmn;\u0026thinsp;7.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e53.77\u0026thinsp;\u0026plusmn;\u0026thinsp;40.35\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNo\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e17.25\u0026thinsp;\u0026plusmn;\u0026thinsp;14.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10.19\u0026thinsp;\u0026plusmn;\u0026thinsp;9.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e12.36\u0026thinsp;\u0026plusmn;\u0026thinsp;12.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e8.08\u0026thinsp;\u0026plusmn;\u0026thinsp;8.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e8.63\u0026thinsp;\u0026plusmn;\u0026thinsp;6.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e13.66\u0026thinsp;\u0026plusmn;\u0026thinsp;7.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e42.86\u0026thinsp;\u0026plusmn;\u0026thinsp;44.32\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003et=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e1.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e1.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ep=\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0.044\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0.26\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"9\"\u003eF: Anova Test; t: Independent Groups T-Test; PostHoc: Tukey, LSD(Least Significant Difference)\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eIn the gender-specific evaluation, it was found that women had higher mean values in all subscales compared to men and that this difference was statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In particular, the values for depression-unhappiness (mean\u0026thinsp;=\u0026thinsp;21.60), tension-stress (mean\u0026thinsp;=\u0026thinsp;14.18) and anger-aggression (mean\u0026thinsp;=\u0026thinsp;16.79) were significantly higher in women than in men. This result shows that women are more affected by mood swings and their psychological stress level is higher than that of men (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eWith regard to marital status, it was found that single people had significantly higher scores for mood disturbance in all subscales than married people (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In particular, the higher scores for depression-unhappiness (mean\u0026thinsp;=\u0026thinsp;25.55), tension-stress (mean\u0026thinsp;=\u0026thinsp;16.35) and TDS (mean\u0026thinsp;=\u0026thinsp;68.65) in single people indicate that single people suffer more from emotional stress and psychological distress symptoms (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The analyses by educational level showed that university graduates had significantly higher scores for mood disorders compared to other groups (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The post-hoc analyses showed that university graduates had higher scores compared to primary and secondary school graduates. In particular, the scores for depression-discomfort (mean\u0026thinsp;=\u0026thinsp;25.13), tension-stress (mean\u0026thinsp;=\u0026thinsp;16.96) and MPS (mean\u0026thinsp;=\u0026thinsp;68.89) were the highest. With regard to employment status, it was found that employed people had significantly higher scores for mood disorders compared to unemployed people (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). When the average scores of these individuals were examined according to sub-dimensions, it was determined as Depression-Unhappiness (mean\u0026thinsp;=\u0026thinsp;23.73), Tension-Distress (mean\u0026thinsp;=\u0026thinsp;15.89) and total MPS (mean\u0026thinsp;=\u0026thinsp;64.65) (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). When evaluated in terms of alcohol consumption, no significant difference was found between individuals who used alcohol and those who did not (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). Significant differences were also found between people who smoked and those who did not smoke (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\u003cp\u003eWhen assessing whether there was a family history of cancer, no significant difference was found between the scores for mood disorder (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). However, the fact that the score for fatigueand sluggishness was higher in individuals with a history of cancer (p\u0026thinsp;=\u0026thinsp;0.044) indicates that these individuals experience more physical and mental fatigue (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cb\u003eQualitative data findings\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe data obtained from the semi-structured interviews were examined according to themes and sub-themes. In this study, 2 main themes and 18 sub-themes were determined (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eThemes and Subthemes from Semi-Structured Interviews\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eThemes\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSub-themes\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e*Number of views\u003c/p\u003e\u003cp\u003ef\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"8\" rowspan=\"9\"\u003e\u003cp\u003e\u003cb\u003eThoughts on Health Checks\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eNot wanting to go to the controls\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHealth check-ups cause anxiety/uncertainty/possibility of bad results/lead to bad thoughts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHealth checks are important/controls should not be missed/must be checked\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eChecks required\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eControls should be carried out continuously and regularly\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eControls are useful\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSatisfaction with the controls\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eProvides information about my disease/shows the course of the disease\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIt makes me think positively\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"8\" rowspan=\"9\"\u003e\u003cp\u003e\u003cb\u003eEffects of Controls on Individuals\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eRelaxation\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePeace\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTrust\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eRejoice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHappiness\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eMoral/Motivation\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTension\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eDepression\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eWorry\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"3\"\u003e* More than one answer was given.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eTheme 1: Thoughts on health checks\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe first main theme in the study is the opinions about health checks. In this theme, 9 sub-themes were identified. When the participants were asked about their opinions on health checks, most of them (n\u0026thinsp;=\u0026thinsp;10) stated that health checks are important and must be done. The following statements were identified: health checks should be done regularly (n\u0026thinsp;=\u0026thinsp;7), provides information about my disease (n\u0026thinsp;=\u0026thinsp;7), health checks cause anxiety (n\u0026thinsp;=\u0026thinsp;6), unwillingness to go to controls (n\u0026thinsp;=\u0026thinsp;5), controls are necessary (n\u0026thinsp;=\u0026thinsp;4), satisfaction with controls (n\u0026thinsp;=\u0026thinsp;4) and controls are useful (n\u0026thinsp;=\u0026thinsp;3), makes me think positively (n\u0026thinsp;=\u0026thinsp;2) (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). A few participant views on this issue are given below:\u003c/p\u003e\u003cp\u003e\u003cem\u003e\u0026ldquo;At first I wanted not to come for the check-up, but then I realized that it got better the more I came, so I kept coming.\u0026rdquo;\u003c/em\u003e (H15)\u003c/p\u003e\u003cp\u003e\u003cem\u003e\u0026ldquo;The thought of bad results has a negative effect on me.\u0026rdquo;\u003c/em\u003e (H1)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eI gave my tomography report today, they said they would call me again, even this made me nervous\u003c/em\u003e.\"(H10)\u003c/p\u003e\u003cp\u003e\u0026ldquo;Controls need to be done. I need to find out what happened if I did not come, whether my disease progressed or regressed?\u0026rdquo; (H6)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eControls should be done. I come often, I mean I come to feel comfortable.\"(H17)\u003c/em\u003e\u003c/p\u003e\u003cp\u003e\u003cem\u003e\u0026ldquo;I always come for my check-ups, I am satisfied\u003c/em\u003e.\u0026rdquo; (H5)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eIf I don't go for a check-up, I would feel depressed, I would wonder if the disease had progressed or if there was something wrong\u003c/em\u003e.\u0026rdquo; (H12)\u003c/p\u003e\u003cp\u003e\u003cb\u003eTheme 2: Effects of controls on individuals\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe second main theme in the study is the effects of controls on individuals. In this theme, 9 sub-themes were identified. Participants were asked about the impact of health checks on them and the majority (n\u0026thinsp;=\u0026thinsp;8) stated that they felt relief, followed by feelings of confidence (n\u0026thinsp;=\u0026thinsp;8), happiness (n\u0026thinsp;=\u0026thinsp;4), anxiety (n\u0026thinsp;=\u0026thinsp;4), peace (n\u0026thinsp;=\u0026thinsp;3), tension (n\u0026thinsp;=\u0026thinsp;3), rejoice (n\u0026thinsp;=\u0026thinsp;2), moral motivation (n\u0026thinsp;=\u0026thinsp;2), and overwhelm (n\u0026thinsp;=\u0026thinsp;2). A few participant views on this issue are given below:\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eWhen I see my doctors when I come, I feel so happy, I feel peaceful, coming for check-ups gives me morale\u003c/em\u003e.\u0026rdquo; (H9)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eI relax, I feel more comfortable for 3 months\u003c/em\u003e.\u0026rdquo; (H4)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eMy motivation increases as I come for check-ups. At the controls, you see the return of the treatment given\u003c/em\u003e.\u0026rdquo; (H2)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eWell, I feel very happy and peaceful\u003c/em\u003e.\"(H11)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eIt gives me more confidence to come to a health professional rather than getting ideas from uninformed people\u003c/em\u003e.\"(H8)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eFor example, I am here now, they said everything is fine, you can come next year, I am relieved, I will come to visit my doctors even if they tell me not to come anymore.\u0026rdquo; (H15)\u003c/em\u003e\u003c/p\u003e\u003cp\u003e\u003cem\u003e\u0026ldquo;The thought of bad results has a negative effect on me\u003c/em\u003e.\u0026rdquo; (H10)\u003c/p\u003e\u003cp\u003e\u0026ldquo;\u003cem\u003eIt makes you feel bad, I'm overwhelmed, now the doctor said it was something, but he said we'll fix it, let's see\u003c/em\u003e.\u0026rdquo; (H15)\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eFollow-ups after cancer treatment play a critical role in monitoring the health status of individuals and detecting cancer recurrence at an early stage [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. However, although the physiological, psychological and social effects of follow-up processes on individuals have been discussed [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. there are few studies on this subject.\u003c/p\u003e\u003cp\u003eIn the study, it was determined that the participation rate of women in follow-up checks was higher than men. Similarly, it is reported in the literature that women have more access to health services and are more sensitive to health checks [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. This tendency of women suggests that their health literacy levels and preventive health behaviors may be more developed than men [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. However, lower participation rates in men suggest that awareness programs for this group should be increased.\u003c/p\u003e\u003cp\u003eIn the study, it was found that the most frequently performed examinations were blood tests, while imaging methods such as tomography had a negative impact on patients (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The easy applicability and rapid results of blood tests increase the preference rate of these tests [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. However, it is supported by the literature that tomography may increase stress and anxiety in patients due to factors such as fear of confined spaces and radiation exposure [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. This suggests that not only physiological effects but also psychological effects should be taken into account in follow-up controls.\u003c/p\u003e\u003cp\u003eIn the study, it was found that total MPS scores varied in a wide range (-10 to 157). This shows that there are significant differences in the emotional reactions of individuals. It is important to support individuals experiencing stress and negative mood with psychosocial support programs. Psychosocial interventions have been proven to increase individuals' compliance with treatment and improve their quality of life in previous studies [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn the study, it was determined that total MPS scores showed significant differences according to demographic characteristics such as age, gender, marital status, education level and employment status. In this study, Depression-Disappointment, Tension-Distress and total MPS scores were found to be higher in working individuals. This result suggests that working life may bring psychological burden and may have an effect on mood. In the literature, it is stated in many studies that women, young individuals and working individuals have higher levels of emotional stress [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. It is clear that these groups are more vulnerable in terms of risk factors and need personalized interventions. In particular, women's higher stress levels suggest that social and emotional support programs should be prioritized for this group.\u003c/p\u003e\u003cp\u003eIn the study, it was found that non-smokers had higher MPS scores compared to smokers (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). This suggests that smoking may have a relaxing effect on individuals in the short term.\u003c/p\u003e\u003cp\u003e\u003cb\u003eThoughts on health checks\u003c/b\u003e\u003c/p\u003e\u003cp\u003eIn this study, thoughts about health check-ups were identified as Theme 1 and participants' perceptions of health check-ups were elaborated. The findings show that health checks are generally considered important and necessary by the participants. In our study, the proportion of participants who stated that health checks are important and must be done is quite high (n\u0026thinsp;=\u0026thinsp;10). Similarly, the necessity of regular health checks and their function of providing information about the disease were also emphasized by the participants (n\u0026thinsp;=\u0026thinsp;7) (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). These findings support that health checks play an important role in disease management and contribute to the formation of conscious health behaviors of individuals [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn our study, there were participants (n\u0026thinsp;=\u0026thinsp;6) who stated that the controls were worrisome, which is thought to cause psychological stress in individuals and is supported by quantitative findings (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). In a study, it was shown that health checks may increase uncertainty anxiety, especially in individuals with chronic diseases, and therefore some individuals may tend to avoid checks [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. This suggests that individuals may need more psychosocial support mechanisms during health checks.\u003c/p\u003e\u003cp\u003eIn the study, some participants expressed reluctance towards health checks (n\u0026thinsp;=\u0026thinsp;5), while others expressed satisfaction with health checks (n\u0026thinsp;=\u0026thinsp;4) and thought that the checks were beneficial (n\u0026thinsp;=\u0026thinsp;3) (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Health checks create a sense of trust in individuals and contribute to health management [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. This supports the idea that individuals realize that the control process is important in protecting their health, but they are concerned about the negative consequences. In parallel, the quantitative data are in line with the statements of the participants.\u003c/p\u003e\u003cp\u003e\u003cb\u003eEffects of health checks on individuals\u003c/b\u003e\u003c/p\u003e\u003cp\u003eIn this study, when the effects of health checks on individuals are analyzed, it is seen that most of the participants perceived health checks as a positive experience. It was determined that health check-ups most frequently created a feeling of relaxation and trust (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). These findings suggest that health check-ups play an important role in individuals' psychological well-being [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. In particular, it is understood that regular check-ups provide mental relaxation and morale to the patients. However, health check-ups have also been found to cause negative emotions such as anxiety, tension and overwhelm in some individuals. In particular, the uncertainty of the test results and the fear of receiving possible bad news about the disease are thought to cause an increase in negative emotions. Similarly, the literature suggests that health checks can have both positive and negative psychological effects on individuals [\u003cspan additionalcitationids=\"CR38 CR39\" citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. It has been found that regular conversations with health professionals help patients to better understand their health status and this provides them with confidence and peace of mind [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e], while uncertainty and anxiety about outcomes can cause stress and anxiety in some individuals [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e\u003cb\u003eClinical implications\u003c/b\u003e\u003c/p\u003e\u003cp\u003eIn this process, individuals should be supported in every aspect to reduce anxiety and improve the experience during the examinations and health checks. Follow-ups after cancer treatment should be planned with a multidisciplinary and holistic approach not only to detect recurrence, but also to support the biopsychosocial needs of individuals. Similar studies to be conducted in different centers and in a larger patient population may contribute to a more comprehensive evaluation of the results obtained and increase their generalizability. The role of nurses in the treatment process should include not only physical care, but also holistic and patient-oriented, as well as meeting the psychological and social needs of individuals.\u003c/p\u003e\u003cp\u003e\u003cb\u003eLimitations\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe study was conducted in a single center and the results obtained were limited to the group of patients who applied to this center. Therefore, it is not appropriate to generalize the findings of the study to all cancer patients.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eHealth checks following cancer treatment have been found to be challenging for some individuals in terms of physiological, psychological and social aspects. The findings obtained in this study show that follow-up examinations have both positive and negative effects on individuals and that these processes should be assessed multidimensionally.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePrior to the collection of research data, approval was obtained from Haliç University Noninterventional Clinical Research Ethics Committee (date:30.10.2023, number:241) \u0026nbsp;After the approval and institutional permission (date:23.1.2024, number:2370101) from the university hospital to which the participants to be included in the study applied, data collection was initiated and written and verbal consent was obtained from the participants. Permission to use the scale was obtained from the owner of the scale by email.\u0026nbsp;This study was prepared in accordance with the ethical principles stated in the Declaration of Helsinki.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have no conflict of interest to declare, and this is an unfunded work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research has not received a specific grant from any funding agency in the public, commercial or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe would like to thank all our patients who participated in this study for their support and mutual exchange of information.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003ede Boer AGEM, Torp S, Popa A, Horsboel T, Zadnik, Rottenberg Y, Bardi,E, Bultmann U. and Sharp L. 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Emerging and ongoing survivorship challenges among childhood cancer survivors and providing risk-based focused follow-up care. Semin Oncol Nurs. 2021;37(3):151163. https://doi.org/10.1016/j.soncn.2021.151163.\u003c/li\u003e\n\u003cli\u003eChlebowski RT, Aragaki AK, Anderson GL, Pan K, Neuhouser ML, Manson JE. et al. Dietary modification and breast cancer mortality: Long-term follow-up of the women\u0026apos;s health Initiative randomized trial. J Clin Oncol. 2020;38(13):1419\u0026ndash;1428. https://doi.org/10.1200/JCO.19.00435.\u003c/li\u003e\n\u003cli\u003eMontagnese C, Porciello G, Vitale S, Palumbo E, Crispo A, Grimaldi M, Calabrese I. Quality of life in women diagnosed with breast cancer after a 12-month treatment of lifestyle modifications. Nutrients. 2020;13(1):136. https://doi.org/10.3390/nu13010136.\u003c/li\u003e\n\u003cli\u003eLan A, Li H, Shen M, Li D, Shu D, Liu Y, Tang H, Li K, Peng Y, Liu S. Association of depressive symptoms and sleep disturbances with survival among US adult cancer survivors. BMC Med. 2024;22(1):225. https://doi.org/10.1186/s12916-024-03451-7.\u003c/li\u003e\n\u003cli\u003eDuffy S, Vulkan D, Cuckle H, Parmar D, Sheikh S, Smith R, Evans A. et al. Annual mammographic screening to reduce breast cancer mortality in women from age 40 years: long-term follow-up of the UK age RCT. Health Technol Assess. 2020; 24(55);1\u0026ndash;24. https://doi.org/10.3310/hta24550\u003cu\u003e.\u003c/u\u003e\u003c/li\u003e\n\u003cli\u003eHajjawi, M.O.R., Wang, Q., Presneau, N., \u0026amp; Ladomery, M.R. Editorial: Advances in cancer diagnosis and treatment. Br J Biomed Sci. 2024:\u003cem\u003e81\u003c/em\u003e;13618. https://doi.org/10.3389/bjbs.2024.13618\u003c/li\u003e\n\u003cli\u003eRubinstein WS., Patriotis C, Dickherber A, Han PKJ, Katki HA, Lee Van E, Pinsky PF. et al. 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BMJ Support Palliat Care. 2024;20;14(4);411-415. doi: 10.1136/spcare-2024-004893\u003c/li\u003e\n\u003cli\u003eUronen L, Salanter\u0026auml; S, Hakala K, Hartiala J, Moen H. Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks. Int J Med Inform. 2022:160;104695. doi: 10.1016/j.ijmedinf.2022.104695\u003c/li\u003e\n\u003cli\u003eSin C, Lee DY, Kim H, Im HS, Koh SJ, Kang DY. Effectiveness of self-reported management program of cancer patients. Digit Health. 2024;23:10:20552076241253090. doi: 10.1177/20552076241253090\u003c/li\u003e\n\u003cli\u003eLiu Z, Liao Y, Hwang CL, Rethorst CD, Zhang X. Associations of online health information seeking with health behaviors of cancer survivors. Digit Health. 2024; 15:10:20552076241238074. doi: 10.1177/20552076241238074\u003c/li\u003e\n\u003cli\u003eGreer JA, Applebaum AJ, Jacobsen JC, Temel JS, Jackson VA. Understanding and addressing the role of coping in palliative care for patients with advanced Cancer. J Clin Oncol. 2020;20:38(9):915-925. doi: 10.1200/JCO.19.00013 \u003c/li\u003e\n\u003cli\u003eLiss DT, Uchida T, Wilkes CL, Radakrishnan A, Linder JA. General health checks in adult primary care: A review. JAMA. 2021;8:325(22):2294-2306. doi: 10.1001/jama.2021.6524. \u003c/li\u003e\n\u003cli\u003eJadidi A, Ameri F. Social Support and meaning of life in women with breast cancer. Ethiop J Health Sci. 2022:2(4);709-714. doi: 10.4314/ejhs.v32i4.6. \u003c/li\u003e\n\u003cli\u003eBidstrup PE, Johansen C, Kroman N, Belmonte F, Duriaud H, Dalton SO, Andersen KG, Mertz B. Effect of a nurse navigation ıntervention on mental symptoms in patients with psychological vulnerability and breast cancer: The Rebecca randomized clinical trial. JAMA Netw Open. 2023;1;6(6):e2319591. doi: 10.1001/jamanetworkopen.2023. \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"cancer, cancer survivors chemotherapy, nursing, survivors","lastPublishedDoi":"10.21203/rs.3.rs-6997093/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6997093/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eObjective\u003c/strong\u003e: The aim of this study is to determine the effects of health checks performed on individuals after cancer treatment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eThe study was designed as a mixed method based on cross-sectional, descriptive, quantitative and qualitative approaches. After obtaining the approval of the ethics committee and the necessary permissions, the study was conducted between December 1, 2023 and December 30, 2023 with individuals who applied to the Istanbul University Oncology Institute outpatient clinic. Personal Information Form, Semi-Structured Interview Form and Mood Profile Scale were used as data collection tools. SPSS (IBM SPSS Statistics 24) package program was used for statistical analyses, and Nvivo 8 program was used for the qualitative part.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eAs a result of content analyses, 2 main themes and 18 sub-themes were determined. It was determined that the types of examinations that affected individuals the most were tomography (31.6%) and blood tests (23.7%). When the participants' Mood Profile Scale scores were examined, it was determined that the average was 48.605±42.351 and the scores varied between -10 and 157. In general, the research findings reported that variables such as age, gender, marital status, education level, employment status and smoking had statistically significant effects on Mood Profile scores (p\u0026lt;0.05).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions: \u003c/strong\u003eAs a result, it was determined that individuals should be supported in every way because cancer has not only physiological but also social and psychological effects on individuals. It has become clear that scientific studies in this field are insufficient and that more evidence-based studies need to be conducted.\u003c/p\u003e","manuscriptTitle":"The Impact of Post-Cancer Treatment Health Examinations on Individuals: A Mİxed-Methods Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-14 18:17:55","doi":"10.21203/rs.3.rs-6997093/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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