1. Introduction
Inflammatory bowel disease (IBD), encompassing Crohn's disease and ulcerative colitis, is a chronic, idiopathic intestinal inflammation presenting with symptoms like abdominal pain, diarrhea, bloody stools, and weight loss[1,2]. Its challenging treatment, recurrent nature, and potential for malignancy make it a significant health concern, especially as pediatric cases rise. IBD profoundly impacts children's physical and mental well-being, while also posing substantial psychological challenges to their caregivers[3,4]. The stress on caregivers, often stemming from limited understanding of IBD's specifics, treatment, and prognosis, is gaining increased societal attention[5]. This lack of understanding, termed "disease uncertainty," hinders informed decision-making and can weaken caregivers' ability to seek crucial information[6]. Consequently, this uncertainty can disrupt caregivers' functioning, leading to adverse psychological states and even extreme behaviors, ultimately diminishing their quality of life and potentially hindering the child's treatment and recovery. While research has explored disease uncertainty in various medical fields, its impact on caregivers of children with IBD remains under-researched[7]. This study aims to address this gap by examining the relationship between illness uncertainty and family strength and psychological resilience among these caregivers[8].
2. Materials and methods
2.1. General data
The study included 180 guardians who cared for 112 children with inflammatory bowel disease (IBD), including 62 (55.4%) with Crohn's disease (CD) and 50 (44.6%) with ulcerative colitis (UC). The age range of the children was 1-14 years old, all of whom met the 2019 expert consensus criteria for diagnosis and treatment of IBD in children[9]. The condition was stable and the data were complete during follow-up. Exclusion criteria included combined diabetes, cardiovascular and cerebrovascular diseases, hepatic and spleen dysfunction, infectious diseases, blood or immune system diseases, and the use of platelet-affecting drugs such as ticlopidine, heparin, aspirin and dipyridamole in the past two weeks. The gender distribution of children was 68 males (60.7%) and 44 females (39.3%), and the mean age of onset was (9.8 ± 2. 3) years.
Guardians must meet the following conditions: age 18-70 years old, junior high school education or above, be the immediate family member and primary caregiver of the child, understand the child's condition, and be in good health to complete the study assessment. Those with severe physical diseases or mental disorders were excluded. The final 180 guardians included ranged in age from 25-68 years, with a mean age of (46.5 ± 12.8) years, including 82 males (45.6%) and 98 females (54.4%); The marital status is mainly married (138, 76.6%), the education level is college degree or above accounts for 58.3% (105), and the monthly family income is concentrated between 2,000 and 6,000 yuan (115, 63.8%).
2.2. Evaluative methods

During outpatient visits or hospital stays, guardians were assessed using various scales, administered by a dedicated gastroenterology nurse. Prior to the assessment, the nurse explained the purpose and procedures of the test to the guardian. Standardized instructions were used for each scale, and any content that the guardian found unclear was further explained. Once the guardian fully understood the assessment, they independently completed all scales based on their actual experiences, within a 30-minute time frame. Completed forms were collected immediately. Out of 180 scales distributed, 180 were successfully retrieved, achieving a 100% response rate. The study's methodology is illustrated in Figure 1.
2.3. Assessment content and tools
Perception of illness uncertainty was measured using the Chinese version of Mishel's Uncertainty in Illness Scale-Family Member form (MUIS-FM)[10]. This scale evaluates the guardian's level of uncertainty regarding the disease across four domains: complexity, uncertainty, unpredictability, and lack of information. The MUIS-FM comprises 33 items, with a total score ranging from 33 to 165. Higher scores indicate a greater degree of perceived uncertainty. Domain scores were calculated as follows: (average score of domain/highest possible score of domain) × 100%.
Family resilience was assessed using the Family Hardiness Index (FHI), which measures the internal strengths of family members[11]. The FHI comprises three domains: commitment, challenge, and control, across 20 items. A 4-point Likert scale was employed for scoring, where 1 indicated strong disagreement, 2 indicated disagreement, 3 indicated agreement, and 4 indicated strong agreement. Items 1, 2, 3, 8, 10, 14, 16, 19, and 20 were reverse-scored, while the remaining items were scored positively. Higher total scores reflected greater family resilience. The Cronbach's alpha for this scale was 0.80.
Psychological resilience was measured using the Connor-Davidson Resilience Scale (CD-RISC), developed by Connor and Davidson[12]. This scale, comprising 25 items, was adapted for Chinese populations by Liu et al[13]. and assesses three domains: tenacity, strength, and optimism. The total score is the sum of all item scores. The scale demonstrated good internal consistency (Cronbach's alpha = 0.89) and test-retest reliability (r=0.87). It measures positive psychological traits that promote adaptation to adversity, such as illness and negative events. A 4-point scoring system was used, with total scores ranging from 0 to 100. Higher scores indicate greater mental resilience.
2.4. Statistical methods
All data were analyzed using SPSS version 21.0. Normally distributed continuous data were presented as mean ± standard deviation, while non-normally distributed continuous data were expressed as median (interquartile range, P25, P75). Categorical data were presented as frequencies or percentages. The Spearman correlation coefficient was used to assess correlations. Statistical significance was set at a two-tailed alpha level of 0.05.
3. Results
3.1. General information of the guardian
Among the 180 guardians surveyed, the majority were female (54.44%), aged 45-59 (43.33%), had a college education or higher (58.33%), were unemployed or retired (52.78%), and had a family monthly income of 2001-3000 (17.77%), as shown in Table 1.
Variable |
Items |
Number of people |
Percentage |
Sex |
Male |
82 |
45.56 |
Female |
98 |
54.44 |
|
Age |
<45 |
45 |
25.00 |
45–59 |
78 |
43.33 |
|
≥60 |
57 |
31.67 |
|
Marital status |
Married |
138 |
76.66 |
Unmarried |
42 |
23.33 |
|
Educational level |
Junior and senior secondary |
75 |
41.67 |
College degree or above |
105 |
58.33 |
|
Work status |
Be on the job |
85 |
47.22 |
Unemployed or retired |
95 |
52.78 |
|
Family monthly income |
<1000 |
22 |
12.22 |
1000–2000 |
43 |
23.88 |
|
2001–3000 |
32 |
17.77 |
|
>3000 |
83 |
46.11 |
3.2. Guardian's MUIS-FM rating
The MUIS-FM scores of the 180 guardians in this study ranked from lowest to highest in the following order: complexity, unpredictability, lack of information, and overall uncertainty, as presented in Table 2.
Items |
Number of entries |
Divide entries |
Dimension scores |
Average Score |
Score ranges |
Unpredictability |
13 |
1.6 (1.3-1.9) |
21 (18-24) |
20.8 (3.5) |
15-28 |
Lack of information |
5 |
3.8 (3.2-4.3) |
19 (16-22) |
18.5 (3.2) |
10-25 |
Complexity |
7 |
3.1 (2.7-3.5) |
22 (19-25) |
21.9 (4.0) |
14-30 |
Uncertainty |
8 |
4.2 (3.8-4.6) |
34 (30-37) |
33.7 (5.8) |
20-45 |
Total points |
33 |
2.9 (2.6-3.2) |
96 (88-104) |
94.9 (11.2) |
70-128 |
3.3. Guardian's FHI rating
FHI averaged an overall score of 47.1, as shown in Table 3.
Items |
Number of entries |
Divide entries |
Dimension scores |
Average Score |
Score ranges |
Commitment |
9 |
2.4 (2.1-2.7) |
22 (19-25) |
21.3 (4.1) |
12-28 |
Control |
6 |
2.2 (1.9-2.5) |
13 (11-15) |
13.1 (3.0) |
7-20 |
Challenge |
5 |
2.5 (2.2-2.8) |
13 (11-15) |
12.7 (2.7) |
6-18 |
Total points |
20 |
2.4 (2.1-2.6) |
48 (43-53) |
47.1 (7.3) |
30-64 |
3.4. Guardian's CD-RISC rating
The average CD-RISC score in this study was 68.2, as shown in Table 4.
Items |
Number of entries |
Divide entries |
Dimension scores |
Average Score |
Score ranges |
Tenacity |
13 |
2.6 (2.3-2.9) |
34 (29-38) |
33.5 (6.5) |
18-50 |
Strength |
8 |
3.0 (2.6-3.4) |
24 (21-27) |
23.8 (5.1) |
12-35 |
Optimism |
4 |
3.2 (2.8-3.6) |
13 (11-15) |
12.9 (2.9) |
5-18 |
Total points |
25 |
2.8 (2.5-3.1) |
70 (63-77) |
68.2 (9.4) |
45-90 |
3.5. Results of regression analysis of influencing factors of guardians' disease uncertainty in pediatric IBD patients as caregivers
In order to determine the relationship between the total score of illness uncertainty and various factors, this study used multiple linear regression analysis to analyze the influence of independent variables (general information, family resilience and mental resilience) on dependent variables (total score of illness uncertainty). The results are summarized in Table 5.
Items |
B |
SE |
β |
t |
P |
FHI-Challenge |
-0.75 |
0.15 |
-0.31 |
-4.92 |
<0.001 |
CD-RISC-Tenacity |
-0.42 |
0.08 |
-0.35 |
-5.25 |
<0.001 |
CD-RISC-Strength |
-0.38 |
0.09 |
-0.24 |
-4.22 |
<0.001 |
Family monthly income |
-0.01 |
0.003 |
-0.08 |
-1.12 |
0.265 |
4. Conclusions
In short, caregivers of children with inflammatory bowel disease (IBD) have great ambiguity in their cognition of the disease, which is closely related to the adaptability of families and the psychological endurance of caregivers. Given the significant cognitive ambiguity faced by caregivers of children with IBD, there is an urgent need to focus on the family interactions and mental health of these caregivers.
References
[1]. Seyedian S S, Nokhostin F, Malamir M D. A review of the diagnosis, prevention, and treatment methods of inflammatory bowel disease[J]. Journal of medicine and life, 2019, 12(2): 113.
[2]. Guan Q. A comprehensive review and update on the pathogenesis of inflammatory bowel disease[J]. Journal of immunology research, 2019, 2019(1): 7247238.
[3]. Aardoom M A, Veereman G, de Ridder L. A review on the use of anti-TNF in children and adolescents with inflammatory bowel disease[J]. International journal of molecular sciences, 2019, 20(10): 2529.
[4]. van Rheenen P F. Managing abnormal liver tests in children with inflammatory bowel disease[J]. Current opinion in pediatrics, 2021, 33(5): 521-529.
[5]. Michel H K, Siripong N, Noll R B, et al. Caregiver and adolescent patient perspectives on comprehensive care for inflammatory bowel diseases: building a family-centered care delivery model[J]. Crohn's & Colitis 360, 2020, 2(3): otaa055.
[6]. Han Z T, Zhang H M, Wang Y M, et al. Uncertainty in illness and co** styles: moderating and mediating effects of resilience in stroke patients[J]. World journal of clinical cases, 2021, 9(30): 8999.
[7]. Arias-Rojas M, Carreño-Moreno S, Posada-López C. Uncertainty in illness in family caregivers of palliative care patients and associated factors[J]. Revista latino-americana de enfermagem, 2019, 27: e3200.
[8]. Kang J, Cho Y J, Choi S. State anxiety, uncertainty in illness, and needs of family members of critically ill patients and their experiences with family-centered multidisciplinary rounds: A mixed model study[J]. PloS one, 2020, 15(6): e0234296.
[9]. Ricciuto A, Aardoom M, Orlanski-Meyer E, et al. Predicting outcomes in pediatric crohn’s disease for management optimization: systematic review and consensus statements from the pediatric inflammatory bowel disease–ahead program[J]. Gastroenterology, 2021, 160(1): 403-436. e26.
[10]. Verduzco-Aguirre H C, Babu D, Mohile S G, et al. Associations of uncertainty with psychological health and quality of life in older adults with advanced cancer[J]. Journal of pain and symptom management, 2021, 61(2): 369-376. e1.
[11]. Peng Y, Wang J, Sun G, et al. Family hardiness in patients with heart failure: exploring protective factors and identifying the mediator[J]. Psychology Research and Behavior Management, 2021: 355-364.
[12]. Velickovic K, Rahm Hallberg I, Axelsson U, et al. Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in a non-clinical population in Sweden[J]. Health and quality of life outcomes, 2020, 18: 1-10.
[13]. Liu X, Liu C, Zhao J, et al. Reliability and validity of the 10-item resilience sale in Chinese community-dwelling adults[J]. Chinese Journal of Behavioral Medicine and Brain Science, 2022: 366-371.
Cite this article
Jun,L.;Wang,Y. (2025). Study on the Relationship Between Guardians' Worries about the Disease and Family Support and Psychological Endurance of Children with Inflammatory Bowel Disease. Theoretical and Natural Science,121,1-6.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Seyedian S S, Nokhostin F, Malamir M D. A review of the diagnosis, prevention, and treatment methods of inflammatory bowel disease[J]. Journal of medicine and life, 2019, 12(2): 113.
[2]. Guan Q. A comprehensive review and update on the pathogenesis of inflammatory bowel disease[J]. Journal of immunology research, 2019, 2019(1): 7247238.
[3]. Aardoom M A, Veereman G, de Ridder L. A review on the use of anti-TNF in children and adolescents with inflammatory bowel disease[J]. International journal of molecular sciences, 2019, 20(10): 2529.
[4]. van Rheenen P F. Managing abnormal liver tests in children with inflammatory bowel disease[J]. Current opinion in pediatrics, 2021, 33(5): 521-529.
[5]. Michel H K, Siripong N, Noll R B, et al. Caregiver and adolescent patient perspectives on comprehensive care for inflammatory bowel diseases: building a family-centered care delivery model[J]. Crohn's & Colitis 360, 2020, 2(3): otaa055.
[6]. Han Z T, Zhang H M, Wang Y M, et al. Uncertainty in illness and co** styles: moderating and mediating effects of resilience in stroke patients[J]. World journal of clinical cases, 2021, 9(30): 8999.
[7]. Arias-Rojas M, Carreño-Moreno S, Posada-López C. Uncertainty in illness in family caregivers of palliative care patients and associated factors[J]. Revista latino-americana de enfermagem, 2019, 27: e3200.
[8]. Kang J, Cho Y J, Choi S. State anxiety, uncertainty in illness, and needs of family members of critically ill patients and their experiences with family-centered multidisciplinary rounds: A mixed model study[J]. PloS one, 2020, 15(6): e0234296.
[9]. Ricciuto A, Aardoom M, Orlanski-Meyer E, et al. Predicting outcomes in pediatric crohn’s disease for management optimization: systematic review and consensus statements from the pediatric inflammatory bowel disease–ahead program[J]. Gastroenterology, 2021, 160(1): 403-436. e26.
[10]. Verduzco-Aguirre H C, Babu D, Mohile S G, et al. Associations of uncertainty with psychological health and quality of life in older adults with advanced cancer[J]. Journal of pain and symptom management, 2021, 61(2): 369-376. e1.
[11]. Peng Y, Wang J, Sun G, et al. Family hardiness in patients with heart failure: exploring protective factors and identifying the mediator[J]. Psychology Research and Behavior Management, 2021: 355-364.
[12]. Velickovic K, Rahm Hallberg I, Axelsson U, et al. Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in a non-clinical population in Sweden[J]. Health and quality of life outcomes, 2020, 18: 1-10.
[13]. Liu X, Liu C, Zhao J, et al. Reliability and validity of the 10-item resilience sale in Chinese community-dwelling adults[J]. Chinese Journal of Behavioral Medicine and Brain Science, 2022: 366-371.