Abstract
1. Introduction
Crohn’s disease (CD) is a subtype of inflammatory bowel disease, which has a prolonged course and a tendency of lifelong recurrence. It is a disabling disease[1] that seriously affects the daily work and life of patients. CD has a high incidence in European and North American countries, and although the incidence in Asia is lower than that in Western countries,[2] its incidence and prevalence have also shown a steady increase in recent years, and CD has become a global disease. Studies have shown that China is currently one of the countries with a high incidence of CD in Asia,[3] which has been increasing in recent years, and the number of inflammatory bowel disease (IBD) patients in China is expected to exceed 1.5 million in 2025.[1] The diagnosis, treatment, and nursing of the disease should be widely concerned. Limited by medical conditions, CD cannot be cured at present, and the patient’s body and mind are greatly harmed. With the development of medical technology, active treatment and nursing can effectively improve the prognosis of patients, control symptoms, and make patients gradually realize that CD is a chronic disease that can be treated and controlled. This change of understanding not only has a positive impact on the care of CD patients but also allows the scope of care to be extended from treatment and rehabilitation to patient life and psychological state.
However, CD is called “green cancer,” which can persist for a lifetime. CD can be challenging both for the person accepting the reality of the disease and for those living with it, especially for married patients, and it can also bring great stress to spouses and families. As the main group in the family, spouses have great potential to influence the developmental outcome of patients. Studies have shown that patients with IBD[4] have significantly higher rates of separation and divorce than the general population.85% of the patients require nutritional therapy,[5] and the economic burden is serious.[6] Some patients have stoma and nasogastric feeding tubes, which lead to body image disorders, and 50% of patients experience negative emotions, such as anxiety and depression.[7] Married couples of childbearing age are more likely to have psychological problems,[8] and both parties will face more marriage problems, which are important factors that threaten the marriage life of couples with CD and have adverse effects on their marriage adjustment.
How to improve the marital situation of patients, coordinate the relationship between patients and their spouses, and improve the family happiness of patients has become a public health problem that we medical staff need to face together. Marital adjustment refers to the mutual adaptation of husbands and wives to achieve harmony in a certain period,[9] reflecting adjustment and coping ability when the marriage relationship changes. Those with higher marital adjustment ability[10] can better cope with changes in the relationship between husbands and wives when diseases or disease changes occur, to increase the stability of marriage. Relevant studies have shown[11] that good marital adjustment can not only meet the needs of patients and their spouses for love and belonging, bring support and comfort to both parties, relieve the negative emotions of both spouses, but also promote the adjustment and adaptation of both spouses to stressful events, improve the health outcome of patients, and have positive significance for the outcome of the disease. Therefore, it‘s important and necessary to strengthen the research on the marital adjustment of CD patients and their spouses, because it is beneficial to help maintain the marital relationship of patients.
Most of the previous studies focused on CD patients themselves, such as enteral nutrition,[12] exercise,[13] and sleep[14] in CD patients. However, there is no research on marriage adjustment from the dyadic perspective of CD patients and their spouses, and joint research on both husband and wife is necessary. Therefore, this study investigates the marriage adjustment of CD patients and their spouses from a dyadic perspective, investigates the current situation of marriage adjustment of CD patients and their spouses, and analyzes its influencing factors, to provide a theoretical basis for clinical coordination of the marriage relationship between CD patients and their spouses.
2. Objects and methods
2.1. Objects
Convenience sampling was used to select patients with CD and their spouses from December 2022 to June 2023 in a Grade A hospital in Nanjing as the investigation object. In China, due to technical limitations, not all hospitals have the ability to accept Crohn’s disease, and patients need to go to a specific hospital for medical treatment. This tertiary class A hospital in Nanjing participated in the study, and all participants were CD patients admitted to the inflammatory bowel disease specialty of the Department of Gastroenterology of this hospital. This hospital is famous for having authoritative experts and cutting-edge treatment techniques in the field of CD, and in this hospital, this department treats more than 30 CD patients every day. The patients came from different regions, which had certain regional representation and universality.
Power and sample size estimations were performed using the G.power (3.1 version) software. The sample size was 126 (one group included one couple). The final sample size of the 139 groups was determined to allow for a 10% loss to follow-up. Inclusion criteria for patients were as follows: ① in accordance with the diagnostic criteria for CD formulated by the IBD Group of the Chinese Society of Gastroenterology in 2018[15] (Patients with hospital-confirmed diagnosis of CD, and patients with gastrointestinal endoscopy and immunology confirmation); ② married, having a spouse; ③ informed consent to participate in the study; ④ primary school education or above; ⑤ ability to use electronic information products (such as smartphones) independently and understand electronic questionnaires. The exclusion criteria were: ① language deficit and cognitive impairment; ② serious illness such as heart, brain, kidney, or other malignant tumors, inability to communicate, history of mental illness, or current use of antipsychotic medications. The inclusion criteria were as spouses: ① living with the patient and knowing the patient’s condition; ② informed consent to participate in the study; ③ primary school education or above; ④ the ability to use electronic information devices (such as smartphones) independently and read and understand electronic questionnaires. Exclusion criteria for spouses were: ① language deficit and cognitive impairment; ② serious illness such as heart, brain, kidney, or other malignant tumors, inability to communicate, history of mental illness, or current use of antipsychotic medications. Patients and their spouses were included in the study if they met the inclusion criteria.
2.2. Survey tools
A general information questionnaire was prepared by the researchers. The main information included age, ethnicity, sex, duration of marriage, residence, education, occupation, work (or study) status, monthly family income, number of children, payment of medical expenses, and disease (disease status, course of the disease, operation, whether with a stoma, nasogastric tube, or double abdominal tube) of the patients and their spouses.
The research tools used in this study have been translated into Chinese and evaluated by the index of item objective congruence of 3 experts. The results showed that each item was >0.5. The test–retest reliability of the Chinese version of the scale was tested.
The Locke-Wollance Marital Adjustment Test[16] was translated into Chinese in 1999 to evaluate the degree of intimacy and marital happiness among married couples. The scale had 15 items. The total score of the questionnaire was the sum of the scores for each item, ranging from 2 to 158. The higher the score, the higher the intimacy and happiness of the marriage. A score of <100 points was defined as a marital disorder and ≥100 points as a good marital adjustment. The internal consistency coefficient of the scale used in this study is 0.76.
The Subjective Well-being Scale for Chinese Citizens was revised into the Chinese version by Chinese scholar Xing Zhanjun[17] in 2002. There were 20 items across 10 dimensions: content and abundance, mental health, social confidence, growth and progress, goal value, self-acceptance, physical health, mental balance, interpersonal adaptation, and family atmosphere. The internal consistency coefficient of the scale used in this study is 0.86.
Shuyue compiled the Couple Support Questionnaire by Shuyue[18] in 2008 to measure spousal support obtained in marriage relationships. The scale is divided into 2 dimensions, subjective and objective, with a total of 18 items. Higher scores indicate better marital support. The internal consistency coefficient of the scale used in this study was 0.91.
The Chinese version of the Distress Disclosure Index[19] was revised in 2009. Twelve items were included in the study. The Distress Disclosure Index was scored using a 5-point Likert scale ranging from 12 to 60, with higher scores indicating higher levels of individual self-disclosure. The internal consistency coefficient of the scale used in this study is 0.78.
2.3. Data collection
The survey was conducted by face-to-face electronic questionnaire distribution. Before the initiation of the study, researchers distributed printed informed consent forms to patients and their spouses, explained the purpose, significance, and privacy protection of the study to patients, and obtained patients’ consent to sign the informed consent form in person. A researcher distributed the two-dimensional code containing the questionnaire items, and participants completed the questionnaire by scanning the code face-to-face using their smartphones. The questionnaire was compiled using the Sojump electronic software and distributed by link or two-dimensional code. During the filling out of the questionnaire, patients and their spouses completed the questionnaire independently and truthfully and were not allowed to exchange information with each other during the completion period. The researcher was on hand to help solve the problem. Participants were asked to complete the full questionnaire and submit it on the spot; incomplete questionnaires could not be submitted online, in which way we could collect patient responses to all questions. During the study, researchers assisted those who could not perform this task independently. The questionnaire was collected by another researcher after returning to the platform. All the same answers or questionable items were collected by patients on the spot. If the patients did not explain, the questionnaire would be removed. A total of 190 groups of questionnaires were distributed and 177 valid questionnaires were returned, with an effective recovery rate of 93.1%.
2.4. Data analysis
Excel for Windows (22.0 version) was used to organize the data. The data were analyzed using IBM SPSS for Windows, version 26.0.The measurement data were described by the average ± standard, and the counting data were described by frequency and percentage. Differences in marital adjustment scores between the patients and their spouses were analyzed using a single-sample t-test. Count data were expressed as n (%) and compared by t-test. In the univariate analysis of marital adjustment of patients and their spouses, an independent sample t-test was used for the categories of ≤2 groups, and ANOVA analysis was used for the categories of ≥3 groups. Pearson correlation analysis was used for bivariate correlation analyses. The multiple linear regression model is used to analyze the linear relationship between the explained variable and several other explanatory variables. Multiple linear regression analysis was used for multivariate analysis of marital adjustment between patients and their spouses. Power and sample size estimations were performed using the G.power (3.1 version) software. A medium effect size f2 = 0.3, α = 0.05, and power 1-β = 0.8 were used. P < .05 was considered statistically significant.
3. Result
3.1. General information
The average age of the 177 CD patients was (40.64 ± 9.48) years old. All patients were of yellow race, and 97.8% of the patients were of Han nationality. The Marital Adjustment Test (MAT) scores of patients with a CD of different ages, residence, education, occupation, work (study) status, family monthly income, payment of medical expenses, and time of disease diagnosis were compared, and the differences were statistically significant (P < .05), as shown in Table 1.
| Characteristic | Examples | MAT score | t/F | P |
|---|---|---|---|---|
| Gender | 0.71 | .401 | ||
| Male | 104 (58.8%) | 99.11 ± 23.70 | ||
| Female | 73 (41.2%) | 98.92 ± 25.18 | ||
| Age | 2.527 | .043 | ||
| 20–29 | 19 (10.7%) | 93.26 ± 28.60 | ||
| 30–39 | 69 (39.0%) | 99.22 ± 23.54 | ||
| 40–49 | 58 (32.8%) | 100.19 ± 22.18 | ||
| 50–59 | 25 (14.1%) | 104.20 ± 23.73 | ||
| ≥60 | 6 (3.4%) | 72.67 ± 27.67 | ||
| Residence | 6.425 | .002 | ||
| Urban areas | 91 (51.4%) | 105.13 ± 24.37 | ||
| Towns | 41 (23.2%) | 93.90 ± 23.17 | ||
| Rural areas | 45 (25.4%) | 91.36 ± 22.07 | ||
| Duration of marriage | 0.374 | .772 | ||
| 1–5 years | 27 (15.3%) | 97.78 ± 27.43 | ||
| 6–10 years | 43 (24.3%) | 97.33 ± 22.39 | ||
| 11–15 years | 25 (14.1%) | 96.56 ± 25.10 | ||
| Over 16 years | 82 (46.3%) | 101.09 ± 24.11 | ||
| Education | 6.272 | .000 | ||
| Junior high school and below | 71 (40.1%) | 90.01 ± 22.01 | ||
| High school or secondary school | 34 (19.2%) | 100.74 ± 20.45 | ||
| College or above | 72 (40.7%) | 107.11 ± 25.23 | ||
| Occupations | 7.462 | .000 | ||
| Employees of enterprises and institutions | 50 (28.2%) | 111.94 ± 22.83 | ||
| Worker | 17 (9.6%) | 98.76 ± 22.77 | ||
| Farmer | 26 (14.7%) | 83.54 ± 23.73 | ||
| Retirement | 33 (18.6%) | 97.15 ± 20.82 | ||
| Self-employed or freelance | 51 (28.8%) | 95.57 ± 21.14 | ||
| Work (Study) status | 11.348 | .000 | ||
| Keeping working (study) | 39 (22.0%) | 111.33 ± 26.50 | ||
| Alternating work (study) and sick leave | 35 (19.8%) | 105.20 ± 21.29 | ||
| Long-term sick leave or unemployment | 103 (58.2%) | 92.27 ± 22.01 | ||
| Monthly family income (RMB) | 23.608 | .000 | ||
| ≤3000 | 53 (29.9%) | 83.17 ± 21.75 | ||
| 3001–6000 | 55 (31.1%) | 97.47 ± 18.35 | ||
| 6001–10,000 | 33 (18.6%) | 104.33 ± 20.52 | ||
| ≥10,001 | 36 (20.3%) | 119.89 ± 22.15 | ||
| Number of children | 2.243 | .085 | ||
| No children | 16 (9.0%) | 108.06 ± 26.54 | ||
| The only child | 120 (67.8%) | 100.28 ± 23.10 | ||
| Two children | 33 (18.6%) | 93.12 ± 26.02 | ||
| Three children or above | 8 (4.5%) | 86.63 ± 23.48 | ||
| Primary caregiver | 1.047 | .353 | ||
| Spouse | 132 (74.5%) | 100.54 ± 24.64 | ||
| Children | 6 (3.4%) | 92.00 ± 11.05 | ||
| Oneself | 39 (22.0%) | 95.00 ± 24.13 | ||
| Payment of medical expenses | 3.949 | .048 | ||
| Self-financing | 22 (12.4%) | 92.68 ± 17.01 | ||
| Medical insurance | 155 (87.6%) | 99.79 ± 24.91 | ||
| Time of diagnosis | 3.092 | .048 | ||
| 10 years | 52 (31.6%) | 94.11 ± 25.64 | ||
| Disease states | 0.136 | .713 | ||
| Remission | 129 (72.9%) | 101.01 ± 23.97 | ||
| Episodes | 48 (27.1%) | 93.71 ± 24.43 | ||
| Surgical conditions | 0.916 | .34 | ||
| Once had surgery | 48 (27.1%) | 100.50 ± 22.74 | ||
| Never had surgery | 129 (72.9%) | 98.48 ± 24.85 | ||
| The presence or absence of a stoma | 1.36 | .245 | ||
| Yes | 26 (14.7%) | 94.65 ± 19.99 | ||
| No | 151 (85.3%) | 99.78 ± 24.89 | ||
| The presence or absence of a nasogastric tube | 1.18 | .279 | ||
| Yes | 77 (43.5%) | 92.71 ± 25.96 | ||
| No | 100 (56.5%) | 103.89 ± 21.75 | ||
| Whether there was a double cannula in the abdominal cavity | 1.778 | .184 | ||
| Yes | 4 (2.3%) | 90.50 ± 11.82 | ||
| No | 173 (97.7%) | 99.23 ± 24.44 |
The average age of the spouses of 177 CD patients was (40.75 ± 9.74) years old. All the spouses were of yellow race and all were of Han nationality. There were statistically significant differences (P < .05) in MAT scores of spouses of CD patients with different ages, education levels, occupations, and work (learning) states. Further details are provided in Table 2.
| Characteristic | Examples | MAT score | t/F | P |
|---|---|---|---|---|
| Gender | ||||
| Male | 76 (42.9%) | 101.46 ± 23.71 | 0.840 | .402 |
| Female | 101 (57.1%) | 98.22 ± 26.61 | ||
| Age | 4.188 | .003 | ||
| 20–29 | 17 (9.4%) | 83.82 ± 34.10 | ||
| 30–39 | 71 (40.1%) | 97.15 ± 23.57 | ||
| 40–49 | 58 (32.8%) | 103.79 ± 23.51 | ||
| 50–59 | 24 (13.6%) | 100.67 ± 22.13 | ||
| ≥60 | 7 (4.0%) | 124.57 ± 22.73 | ||
| Education | 6.211 | .002 | ||
| Junior high school and below | 64 (36.2%) | 91.48 ± 27.70 | ||
| High school or secondary school | 38 (21.5%) | 108.26 ± 24.43 | ||
| College or above | 75 (42.4%) | 102.16 ± 21.88 | ||
| Occupations | 2.922 | .023 | ||
| Employees of enterprises and institutions | 64 (36.2%) | 107.63 ± 21.34 | ||
| Worker | 35 (19.8%) | 92.34 ± 24.68 | ||
| Farmer | 16 (9.0%) | 92.37 ± 29.79 | ||
| Retirement | 15 (8.5%) | 99.47 ± 31.82 | ||
| Self-employed or freelance | 47 (26.6%) | 96.62 ± 25.26 | ||
| Work (Study) status | 3.364 | .037 | ||
| Keeping working (study) | 123 (69.5%) | 102.83 ± 24.84 | ||
| Alternating work (study) and sick leave | 23 (13.0%) | 91.22 ± 23.57 | ||
| Long-term sick leave or unemployment | 31 (17.5%) | 93.06 ± 26.91 |
3.2. Current status of MAT, subjective well-being, distress self-disclosure, and couple support of CD patients and their spouses
Sexual relationships were assessed on a score of 8. See Table 3 for details.
| Projects | Patients (n = 177) | Spouses (n = 177) |
|---|---|---|
| Marital adjustment score | 99.03 ± 24.25 | 99.61 ± 25.39 |
| Subjective well-being score | 81.20 ± 14.75 | 83.97 ± 13.95 |
| Distress self-disclosure score | 39.81 ± 7.83 | 40.93 ± 7.39 |
| Couple support score | 103.62 ± 2 0.02 | 91.67 ± 30.18 |
| >100 points | 84 (47.5%) | 94 (53.1%) |
| ≤100 points | 93 (52.5%) | 83 (46.9%) |
3.3. Correlation analysis of MAT with distress self-disclosure, couple support, and subjective well-being in CD patients and their spouses
Subjective well-being, distress self-disclosure, and couple support of patients with CD and their spouses were positively correlated with MAT (P .05), the other items were significantly correlated with MAT (P .05). In contrast, other parameters were significantly correlated with MAT (P < .05), as shown in Table 4.
| Projects | Patients (n = 177) | Spouses (n = 177) |
|---|---|---|
| Distress self-disclosure total score | 0.26** | 0.59** |
| Couples support total score | 0.35** | 0.80** |
| Subjective support | 0.38** | 0.37** |
| Objective support | 0.28** | 0.36** |
| Subjective well-being total score | 0.33** | 0.28** |
| Abundant content | 0.27** | 0.22** |
| Mental health | 0.27** | 0.24** |
| Social confidence | 0.10 | 0.12 |
| Growth progress | 0.13 | 0.67 |
| Target value | 0.24** | 0.21** |
| self-acceptance | 0.16* | 0.11 |
| Good health | 0.22** | 0.25** |
| Mental balance | 0.31* | 0.20** |
| Interpersonal adjustment | 0.25** | 0.20** |
| Family atmosphere | 0.27** | 0.26** |
3.4. Multivariate linear regression analysis of influencing factors of MAT in CD patients and spouses
The dependent variable in this study was the total MAT score, and 19 variables with statistical significance in the univariate and correlation analyses were used as independent variables for the multiple linear regression analysis. Continuous variables were assigned Arabic numerals (with size attributes), and disordered categorical variables were treated as dummy variables before the stepwise regression analysis. Table 5 presents the assignments of the independent variables.
| Independent variable | Assignment case |
|---|---|
| Age | 20–29 = 1; 30–39 = 2; 40–49 = 3; 50–59 = 4; ≥60 = 5 |
| Residence | Take rural areas as the reference, Urban areas = (0,1); Towns = (0,1); |
| Education | Junior high school and below = 1, High school or secondary school = 2; College or above = 3 |
| Occupations | Take employees of enterprises and institutions as the reference; Worker = (0,1); Farmer = (0,1); Retirement = (0,1); Self-employed or freelance = (0,1) |
| Work (Study) status | Take keeping work (study) as a reference; Alternating work (study) and sick leave = (0,1); Long-term sick leave or unemployment = (0,1) |
| Monthly family income (RMB) | ≤3000 = 1; 3001–6000 = 2; 6001–10,000 = 3; ≥10,001 = 4 |
| Payment of medical expenses | Self-financing = 0; Medical insurance = 1 |
| Time of diagnosis | 10 years = 3 |
The weight of the independent variable was ranked from high to low, according to the absolute value of the standardized regression coefficient. The results of the multiple linear regression analysis of the influencing factors of MAT in patients with CD showed that monthly family income, time of CD diagnosis, distress self-disclosure, age, subjective well-being, and couple support were included in the regression equation, which could explain 42.9% of the total variation (Table 6).
| Independent variable | Regression coefficient | Standard error | Standardized regression coefficient | t | P |
|---|---|---|---|---|---|
| Monthly family | 8.332 | 1.592 | 0.38 | 5.235 | .000 |
| Time of diagnosis | −4.308 | 1.886 | −0.146 | −2.284 | .024 |
| Distress self-disclosure | 0.517 | 0.195 | 0.167 | 2.648 | .009 |
| Age | 0.461 | 0.189 | 0.180 | 2.443 | .016 |
| Subjective well-being | 0.272 | 0.107 | 0.167 | 2.539 | .012 |
| Couple support | 0.204 | 0.078 | 0.169 | 2.61 | .010 |
The multiple linear regression analysis of the influencing factors of MAT for CD spouses showed that distressed self-disclosure, couple support, age, and subjective well-being entered the regression equation, which could explain 70.4% of the total variation (Table 7).
| Independent variable | Regression coefficient | Standard error | Standardized regression coefficient | t | P |
|---|---|---|---|---|---|
| Spouses’ distress self-disclosure | 0.772 | 0.166 | 0.225 | 4.648 | .000 |
| Spouses’ couple support | 0.506 | 0.043 | 0.601 | 11.81 | .000 |
| Spouses’ age | 0.423 | 0.120 | 0.162 | 3.514 | .001 |
| Spouses’ subjective well-being | 0.164 | 0.081 | 0.090 | 2.021 | .045 |
4. Discussion
4.1. The marital adjustment status of CD couples
The study of marriage quality began in 1929 with the publication of “Marriage Research” by sociologist Hamilton. The most commonly used concepts in marital quality research are marital satisfaction and marital adjustment. Marital satisfaction refers to the degree of satisfaction that a couple expects each other to achieve. It is often regarded as a subjective concept, that is, married people’s perceptual perception and experience of marriage. Marital adjustment refers to the harmonious adaptation of husband and wife in a certain period, which is one of the important indicators to objectively evaluate the quality of marriage.
This study used the theory of marriage adjustment school to objectively evaluate the marital quality of CD patients and their spouses. The results showed that the total MAT score of CD couples was (99.32 ± 24.79), which was lower than that of ordinary couples,[20] and also lower than that of breast cancer couples.[21] The results indicate that CD patients’ disease will hurt the marital quality of the couple. The CD is known as a “green tumor,” which can occur in all ages, and the condition is repeated. At present, there is no ideal radical treatment. As a stressful event in the family, it not only affects the patient’s physiological changes but also has a huge impact on the psychological status of both spouses and their families, affecting the marital communication of both husband and wife. The results of the study showed that there were more CD patients with marital disorders than spouses. It is speculated that the reason may be related to the majority of patients in the survey. Studies have shown that[22] high marriage quality depends more on the role performance of men, and the instrumental role function of men in marriage plays an important role in marriage. However, patients bear more disease symptom burden than their spouses,[23] and their role function is reduced, which has a direct adverse effect on marital adjustment.
4.2. Analysis of influencing factors of marital adjustment in CD patients
The results showed that the family’s monthly income was the most important factor affecting the patients’ marital adjustment. Economic income directly affects the basic quality of life and medical quality of patients.[24] Most of the patients were working with illness and had high work pressure. This is consistent with findings in breast cancer patients.[25] With the progression of the disease, the patient’s treatment cost increases but the workability decreases. When the expenditure exceeds the income, the patient’s sense of self-burden and family guilt increases,[26] which directly affects the communication between husband and wife, and it is easy to ignore the spiritual aspects such as marriage. Age is one of the factors affecting the marital adjustment of patients. The study found that the older the age, the better the marital adjustment ability. With the increase in the patient’s age, the husband and wife have a richer life and social experience. After continuous run-ins, they become more mature and calm in the face of life changes and can gradually adapt to the common pressure.[27] The ability of marital adjustment is higher. This has also been certified in patients with fibromyalgia.[28] The time of CD diagnosis is also one of the factors affecting marital adjustment. The study found that the longer the time of CD diagnosis, the lower the marital adjustment ability. Due to its incurable and chronic nature, CD will increase the economic and psychological burden of patients, resulting in the impairment of the physical and mental health of patients.[29] Patients are prone to excessive criticism and control behaviors, easily have low satisfaction with life, and seriously affect marriage adjustment.
Distress self-disclosure, marital support, and subjective well-being are important factors affecting the marital adjustment of patients. (1) Self-disclosure refers to the process of individuals sincerely sharing their inner feelings and thoughts with close others (spouses and relatives), which is an objective index to evaluate the level of self-disclosure of patients and their spouses. Patients who express their inner feelings more to their spouses can reduce negative emotions,[30] help release stress, form a virtuous circle in the relationship, and have a stronger ability to deal with problems in the face of marital changes. Proper display of the inner world is more helpful in promoting the communication between husband and wife, increasing the understanding of both sides on the emotional and cognitive levels, promoting the maintenance of close relationships, and improving the adjustment of marriage. This is consistent with the findings of cancer patients.[31] (2) Marital support refers to the supportive behavior that enables the other party to get help, and feel loved, affirmed, and valued in the marriage relationship, which is divided into subjective support and objective support. This study has shown that the more support patients receive from their spouses, the higher their marital adjustment ability. This is consistent with the findings of bladder cancer patients.[32] Spouse’s support for patients can promote patients’ expression and dependence on their spouses, increase patients’ positive evaluation of their spouses, reduce patients’ psychological distress, and make it easy to show stronger marital adjustment ability. Studies have also confirmed[33] that marital support has a positive impact on the increase of intimacy. (3) Subjective well-being is an individual’s overall evaluation of life quality based on self-established standards. The study shows that the subjective well-being of patients is positively correlated with the ability of marital adjustment. Patients with high subjective well-being have stronger emotional self-management.[34] They will cultivate their own positive emotions and accept negative physical and mental problems,[35] so they can make more rational decisions in the face of marriage problems. The stable heart of patients is more conducive to calm and calm to deal with problems, and their marital adjustment ability is higher.
This study found that whether the patients carried a stoma or nasogastric tube did not affect the marital adjustment of the patients. This is inconsistent with previous studies. Patients with a stoma or nasogastric tube are prone to conflict between spouses,[36] which has adverse effects on marital adjustment. This may be related to the differences in study subjects and methods. The number of patients with stoma (26, 14.7%) included in this study was small.
4.3. Analysis of influencing factors of marital adjustment of CD spouses
Spouse self-disclosure is the most important influencing factor of marital adjustment. This study found that spouse distress self-disclosure scores were higher than patient distress self-disclosure scores. It may be related to the fact that the spouse not only bears more economic and care burdens in the family system than the patient[32] but also faces the uncertainty of the future caused by the patient’s disease progression, so the spouse needs to talk more than the patient. Clinicians and nurses have fewer opportunities to obtain self-disclosure from patients during their medical visits so they cannot understand patients’ ability to adjust to marriage and family. This suggests[37] that medical workers need to increase empathy and understanding, establish effective self-disclosure conditions, do good listening and guidance, and improve and understand the patients’ marital adjustment ability and mental state from the perspective of their spouses.
Regression analysis showed that age, marital support, and subjective well-being were the important factors affecting marital adjustment. (1) The older the spouse is, the better the marital adjustment ability is. With age and disease progression, the tolerance and understanding of the spouse facing life and the patient will increase,[38] which has a positive impact on the improvement of the marital relationship. (2) There was a positive correlation between spousal support and spousal adjustment, and the spousal support score was lower than that of patients. The possible reason is that the patients who are troubled by the disease pay more attention to the treatment and rehabilitation of the disease, their physical and mental workability is reduced, and they have no time to take into account the companionship and support of their spouses.[39] Despite this, the spouse’s feeling of support from the patient’s close relationship can improve the spouse’s confidence in facing difficulties and stress,[40] and make them more courageous to face the problems brought by stressful events in the marriage relationship. (3) The higher the SWB score, the higher the spouse’s MAT score. The improvement of subjective well-being has a positive significance for the spouse’s mental adjustment.[41] It is more conducive to the stability of marital relationships by increasing cooperation with patients when coping with disease and changes in marital relationships and maintaining an optimistic attitude to face up to treatment and care.
The study also found that there was a correlation between spouses and patients in pain self-disclosure, marital support, and subjective well-being. This also reminds us that in the process of patient care, the staff must treat CD patients and their spouses as a whole, and neither husband nor wife can be isolated. To pay attention to the psychological changes and marriage assessment of CD couples, and to provide a reliable theoretical basis for the formulation of dyadic intervention plans for couples with marriage disorders.
4.4. Limitations
First, the major limitation is the cross-sectional design does not allow making causal inferences. Second, all outcomes were self-reported by study participants. Third, research suggests that low response time of the electronic questionnaire there may be a bigger quality problem. Regarding the average questionnaire response time used in this study and the electronic questionnaire response suggestions,[42] we gave a 5-minute questionnaire exclusion standard, but this standard may lead to the exclusion of some valid questionnaires. Fourth, the small number of subjects included in this study, the single-center study, and the limited range of subject options may have biased the results. Finally, the factors affecting the marital adjustment of couples are diverse and complex. To better understand the marital status of CD couples, it is suggested that more relevant studies of different races and different countries should be carried out in the future, and multi-center studies with large samples should be carried out to better understand the ideas of the target population.
5. Conclusions
In conclusion, this study highlights the current status and influencing factors of marital adjustment among CD patients and their spouses. The MAT of CD patients is affected by factors such as age, family monthly income, couple support, distress self-disclosure, subjective well-being, and the time of CD diagnosis. Spouse MAT is affected by age, distress self-disclosure, marital support, and subjective well-being. Health workers should pay attention to daily health assessments and health education. The social support department can provide more social practice activities and psychological support, improve the psychological adjustment ability of patients, and provide more marriage guidance for couples with marriage disorders. As the decision-makers and regulators of the marriage system, the civil affairs department and marriage support agencies need to carry out necessary training and cognitive education on social support for patients and their families, to improve their marriage adjustment. Medical institutions should provide more online and offline training to improve the self-care level of patients, and to improve the marital adjustment of couples.
Acknowledgments
The authors thank all participants who were involved with this study. Additionally, the authors thank the doctors and nurses in the department for their help.
Author contributions
Conceptualization: Ting Pan, Danlei Chen, Zhihui Yu, Qing Liu, Yan Chen, Ailing Zhang, Fang Kong.
Data curation: Zhihui Yu, Qing Liu, Ailing Zhang.
Formal analysis: Yan Chen, Fang Kong.
Supervision: Yan Chen, Fang Kong.
Writing – original draft: Ting Pan, Danlei Chen.
Writing – review & editing: Ting Pan, Danlei Chen, Zhihui Yu, Qing Liu, Yan Chen, Ailing Zhang, Fang Kong.
Abbreviations:
- CD
- Crohn’s disease
- IBD
- inflammatory bowel disease
- MAT
- Marital Adjustment Test