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Open Access 01.12.2025 | Research

Psychological adaptation profiles are associated with coping style, social support, and family intimacy in caregivers of children with hematologic malignancies: a cross-sectional study

verfasst von: Meng-Jia Wang, Ming-Yu Chang, Chao-Fan Gu, Rui-Xing Zhang

Erschienen in: BMC Nursing | Ausgabe 1/2025

Abstract Background Objective Methods Results Conclusion

Caregivers of children with hematologic malignancies face significant physical and psychological challenges. Identifying psychological adaptation profiles and their influencing factors is essential for developing targeted interventions to support this vulnerable population.
This study aimed to identify distinct psychological adaptation profiles among caregivers of children with hematologic malignancies and explore the roles of family intimacy, social support and coping styles in psychological adaptation.
A cross-sectional study was conducted among caregivers of children with hematologic malignancies. Participants completed questionnaires focusing on sociodemographic information, medical information, coping style, social support, and family intimacy. Latent profile analysis was used to identify distinct psychological adaptation profiles. Mediation analysis was performed to explore the role of positive coping strategies in the relationship between family intimacy and psychological adaptation.
Three psychological adaptation profiles were identified: the well-adapted group (35.8%), the general adaptation group (54.9%), and the maladaptive group (9.3%). Caregivers in the maladaptive group were more likely to have lower education levels and weaker family support networks. Mediation analysis revealed that family intimacy had both direct and indirect effects on psychological adaptation through positive coping strategies, with the indirect effect accounting for 31.62% of the total effect. These findings highlight the dynamic interplay between environmental factors and individual behaviors in shaping psychological adaptation.
This study emphasizes the importance of designing interventions tailored to different psychological adaptation profiles. For caregivers in the maladaptive group, interventions should focus on improving coping skills. For the general adaptation group, enhancing family support and coping strategies could further improve their adaptation. Family-centered approaches and coping skills training are critical to promoting psychological resilience in caregivers.
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Abkürzungen
SCT
Social Cognitive Theory
LPA
Latent Profile Analysis
BIC
Bayesian information criterion
AIC
Akaike Information Criterion
aBIC
Adjusted Bayesian Information Criterion
BLRT
The bootstrap likelihood ratio test
LMR-LRT
Vuong-Lo-Mendell Rubin likelihood ratio tests
CI
Confidence intervals
OR
Occurrence ratio
ALL
Acute lymphoblastic leukemia
AML
Acute myeloid leukemia

Introduction

Although the survival time of children with hematologic malignancies has gradually prolonged, a cancer diagnosis can have devastating psychosocial effects on the family. The trajectory of childhood cancer care is physically demanding, often involving prolonged duration ranging from hours to weeks, months or even years, which places significant strain on caregivers’ overall health [1]. Studies have shown that caregivers of children with hematologic malignancies often experience a low quality of life [24], with approximately 50% and 36% of caregivers reporting moderate and severe care burdens, respectively [3]. A study exploring the mental health of parents of children with leukemia in China revealed that 87.8% of caregivers showed signs of anxiety, while 45.9% had depression [5]. Despite the fact that a significant number of parents struggle with mental fatigue, anxiety and symptoms of post-traumatic stress after treatment of the child’s cancer illness, there are also many parents who may experience positive adaptations [6, 7]. Research suggests that some caregivers develop individual resilience, characterized by positive emotions and proactive coping strategies such as seeking support, which fosters a more protective environment for both themselves and their families [7].
As a group, parents of children with hematologic malignancies demonstrate a relatively high level of resilient. The psychological adaptability of caregivers plays a crucial role in improving the prognosis of children [8]. Study have shown that the ability of family caregivers to overcome and cope with the various strains associated with the diagnosis and treatment trajectory is essential to the quality of life of children and adolescents diagnosed with cancer [9]. Psychological problems in caregivers not only endanger their own quality of life but also impair their capacity to provide effective care [10]. Desjardins et al. [11] found that symptoms of anxiety and depression win caregivers were associated with poorer quality of life in their children. Hile et al. [12] have shown that parental stress significantly predicts the functional outcome of pediatric cancer survivors. Moreover, evidence suggests that the psychological adaptation of caregivers positively influences the adaptation of their children [13]. However, the overall level of psychological adaptation among caregivers of children with hematologic malignancies remains unclear. Existing research has highlighted variability in caregiver adaptation [14], undergoing the need to better understand the factors that facilitate psychological adaptation in caregivers of children with cancer so that these factors can be fostered [15]. Therefore, exploring the different categories of psychological adaptation among caregivers and identifying the influencing factors are key steps to providing precise and individualized care strategies.
Literature reviews have identified several predictors of parental psychological adaptation during pediatric cancer treatment. Study have found that psychological adaptation is influenced by gender [16]. Specifically, mothers are often thought to be more prone to maladjustment compared to fathers [17, 18]. Furthermore, Individual level risk factors associated with poorer psychological adaptation include lower education levels and lower socio-economic status [19]. Furthermore, coping styles, defined as relatively permanent, individual-specific involuntary behaviors used to manage stressful situations [20], may influence psychological symptoms [21] and, consequently, psychological adaptation. In addition, the extent of perceived social support is another factor of interes [22]. Being highly confident about the availability of adequate social support when needed may promote emotional well-being, because social contacts may provide positive experiences [23]. Moreover, the feeling of being close with relatives may reduce the intensity of unpleasant psychological symptoms such as fear or helplessness. Seyedeh et al. [24] study on the quality of life of caregivers of hemodialysis patients found that those with better social support and stronger marital relationships reported higher quality of life. However, there is no literature examining the correlation between these variables and psychological adjustment in the childhood cancer caregiver population. This highlights the need for further research to explore how coping styles and social support contribute to psychological adaptation in this specific group.
Psychological adaptation is a multifaceted process influenced by both internal factors (e.g., coping strategies) and external factors (e.g., family intimacy and social support). In recent years, Social Cognitive Theory (SCT) has become a key framework for understanding the interaction between these factors. Proposed by Bandura [25], SCT emphasizes the dynamic interplay between individual behavior, cognitive processes, and environmental influences—a concept known as triadic reciprocal determinism. This theory highlights that an individual’s behavior is not solely determined by internal psychological processes but is also shaped by environmental factors, such as social support systems and interpersonal relationships [26]. When these three factors interact, individuals can adjust their behavior in response to changing circumstances to achieve their goals. According to SCT, a supporting social environment promotes active cognitive processing of stressful experiences, leading to positive adaptation. On the other hand, a socially restrictive environment, such as poor communication or lack of support, can lead to poor adaptation [27].
To address these gap, this study integrates Latent Profile Analysis (LPA) with mediation analysis. LPA is employed to identify distinct psychological adaptation profiles among caregivers, allowing us to account for the heterogeneity in adaptation outcomes. Following this, multinomial logistic regression is used to explore the key predictors of adaptation profiles, and mediation analysis is conducted to further investigate the pathways affects psychological adaptation. This approach not only aligns with SCT but also bridges the gap between theory and practice by providing tailored insights for intervention strategies targeting specific psychological adaptation profiles. Drawing on SCT, proposed by Bandura, this study examines how environmental factors such as family intimacy and social support contribute to coping strategies, which subsequently influence psychological adaptation. Thus, this study aims to: (1) identify distinct psychological adaptation profiles among caregivers using LPA; (2) explore the effects of family intimacy, social support and coping strategies influence on psychological adaptation; (3)examine the mediating role of coping strategies in the relationship between environmental factors (family intimacy, social support) and psychological adaptation.

Materials and methods

Participants and design

A cross-sectional design was adopted. Participants were recruited from the pediatric hematologic malignancies ward of five hospitals in Henan province, China. The inclusion criteria were as follows: (1) being an immediate family member of a child who had received a pathological diagnosis of hematologic malignancies; (2) being capable of communicating and reading in Chinese; (3) being directly involved in the caregiving process. Caregivers were excluded if the child under their care had severe organic brain syndromes or mental illnesses, or if the child was in a critical or unstable condition. A researcher explained the purpose of the study and emphasized that participation was entirely voluntary. Surveys were conducted after obtaining informed consent from the participants. The study was approved by the Ethics Committee of Zhengzhou University.
The sample size was calculated using G*Power software for multiple regression analysis. Assuming a medium effect size (𝑓2 = 0.15), 18 predictors, and a significance level (𝛼) of 0.05, a post-hoc analysis showed that the achieved power (1−𝛽) with a sample size of 237 was 0.973. This indicates that the sample size was sufficient for the planned analysis.

Procedure

From November 2022 to April 2023, parents of children with hematologic malignancies were invited to participate in this study. And written informed consent was given by all participants. A total of 263 parents agreed to participate in the study. Those who were eligible were invited to complete the questionnaire in person. Of the 237 questionnaires returned, each returned questionnaire is checked for quality and incomplete ones will be asked to be filled out again. The valid response rate was 90.11%.

Measures

Demographic and clinical measures

Self-reported demographic characteristics include child’s age, gender, health insurance type and parents’ age, education level, residence, employment status, and monthly household income. Medical information obtained from the children’s medical records, included disease duration, onset type, and current treatment ststus.

Psychological adaptation

The psychological adaptation Scale(PAS) [28] is a 20-item self-rating scale designed to measure caregivers’ adaptation to a disease. It evaluates four domains of adaptation (coping efficacy, self-esteem, social integration, and spiritual well-being). Each item is scored from 1 to 5, with higher scores reflecting better adaptation. In this study cronbach’s α was 0.93.

Coping style

The Simplified Coping Style Questionnaire(SCSQ) [29] was used to assess coping styles. This 20-item scale measures two dimensions (positive coping style and negative coping). Items are rated on a 4-point Likert scale ranging from 0 (“do not use”) to 3 (“often use”). In this study Cronbach’s α was 0.96.

Social support

The Perceived Social Support Scale(PSSS) [30] consists of 12 items divided into three subscale (family support, friends support and other support). Each item ranging from 1 to 4 and the total score of the scale varies between 12 and 84. It is an easy and short measure for the subjective assessment of perceived social support. Cronbach’s α was 0.92 in this study.

Family relationship

The Family Intimacy and Adaptability Scale [31] was used to assess family relationships. The original scale consists of two subscales: intimacy and adaptability. A 5-point scale was used (1 = “not”, 5 = “always”). Only participants’ intimacy scores were counted in this study; higher scores indicated higher levels of family intimacy, and cronbach’s α was 0.85 in this study.

Date analysis

Data were analyzed using IBM SPSS 22.0 and Mplus7.4. A latent profile analysis was conducted for identifying the psychological adaptation styles of the caregivers. LPA is an extension of latent class analysis [27]. Information criteria-the Bayesian information criterion (BIC), the AIC (Akaike Information Criterion), and adjusted Bayesian Information Criterion(aBIC) were used to choose the most parsimonious and best fitting model. The lower the BIC, AIC, and aBIC values, the better a particular model [32]. The bootstrap likelihood ratio test(BLRT) and Vuong-Lo-Mendell Rubin likelihood ratio tests(LMR-LRT) were also used to compare between models with n and n-1 classes [33].
Differences in subgroups characteristics were examined with Chi-square tests for categorical variables and Kruskal-Wallis H tests for ordinal variables. A p-value of < 0.05 was considered statistically significant. Post hoc contrasts were done using a Bonferroni corrected p-value of < 0.0167 (0.05/3 pairwise comparisons). The decision to use Bonferroni correction was based on its simplicity and conservativeness, ensuring a robust control of the family-wise error rate. Given the relatively small number of comparisons in our study, Bonferroni correction was deemed appropriate due to its simplicity and robustness. Next, it was evaluated the influencing factors of psychological adaptation, using multinomial logit models [32].
To explore the mediating role of coping strategies in the relationship between family intimacy, social support, and psychological adaptation, mediation analysis was performed using the PROCESS macro (version 4.0). PROCESS employs a regression-based path analysis framework to estimate direct and indirect effects, using bootstrapping with 5,000 resamples to derive 95% confidence intervals (CIs) for the indirect effects. This method allowed us to evaluate the pathways through which family intimacy and social support influence psychological adaptation via coping strategies.

Results

Sample characteristics

A total of 263 caregivers were eligible and could be invited to take part in the study. 237 parents returned completed questionnaires (response rate 90%). Of the 237 parents who participated, descriptive information on sociodemographic, and children’s medical characteristics are presented in Table 1.
Table 1
Descriptive information on sociodemographic and children’s medical characteristics (n = 237)
 
N(%)
maladaptative Group
General adaptation group
well-adapted group
Test Statistic
P
Patient characteristics
      
 Sex
    
1.602 a)
0.449
  Male
145(61.2)
12
85
48
  Female
92(38.8)
10
46
36
 Age(year)
    
0.447 b)
0.800
  <6
96(40.5)
8
54
34
  6~
110(46.4)
14
61
35
  12~
31(13.1)
0
16
15
 Type of cancer
    
7.987 a)
0.435
  ALL
132(55.7)
14
69
49
  AML
33(13.9)
3
22
8
  Lymphoma
24(10.1)
2
11
11
  Myelodysplastic disease
21(8.9)
3
13
5
  Others
27(11.4)
0
16
11
 Duration of hematologic malignancies (month)
    
7.854 b)
0.020
  0–3
75(31.6)
2
41
32
  4–6
51(21.5)
8
23
20
  7–12
57(24.1)
2
37
18
  13~
54(22.8)
10
30
14
 Chemotherapy treatment course
    
5.590 b)
0.061
  1–3
69(29.1)
2
38
29
  4–6
57(24.1)
8
31
18
  7–12
77(32.5)
4
45
28
  13~
34(14.3)
8
17
9
Caregiver characteristics
      
 Relationship with the child
    
3.034 a)
0.219
  Father
59(24.9)
8
28
23
  Mother
178(75.1)
14
103
61
 Age (year)
    
1.613 b)
0.446
  ≤ 30
71(30.0)
6
44
21
  31~
124(52.3)
14
64
46
  40~
42(17.7)
2
23
17
 Marriage
    
1.863 a)
0.394
  Married
227(95.8)
20
127
80
  Divorced
10(4.2)
2
4
4.2
4
 Education
    
15.135 b)
0.001
  Junior high school and less
107(45.1)
4
65
38
  High school/ technical secondary school
73(30.8)
4
40
29
  College education or more
57(24.1)
14
26
17
 Per capita monthly household income
    
2.132 b)
0.344
  <1000
57(24.1)
2
36
19
  1000~
112(47.3)
12
57
43
  3000~
45(10.0)
6
27
12
  >5000
23(9.7)
2
11
10
 the type of medical insurance
    
12.600 a)
0.013
  self-paying
17(7.2)
2
8
7
  Provincial/municipal health insurance
25(10.5)
0
9
16
  Rural health care
195(82.3)
20
114
61
Note: (a) chi-square test; (b) Kruskal-Wallis H test; ALL, Acute lymphoblastic leukemia; AML, Acute myeloid leukemia

Latent class analysis

Four latent class models were estimated in our study, as shown in Table 2. A three-class model was therefore chosen as the final model. The 3-class solution was selected because the BIC for that solution was lower than the BIC for the 2-class solution and the 1-class solution. In addition, LMR-LRT revealed a significant difference only in the three-class. Although the BIC was smaller for the 4-class than for the 3-class solution, the LMR-LRT for 4-classes was not significant. So we chose a three-class model as the final model.
Table 2
LCA model fit statistics
Model
AIC
BIC
aBIC
LMR-LR T
P value
BLRT
P value
Entropy
1-Class
5350.421
5378.166
5352.809
   
2-Class
5124.732
5169.817
5128.612
0.2849
<0.001
0.714
3-Class
4969.293
5031.718
4974.664
0.0001
<0.001
0.872
4-Class
4949.276
5029.041
4956.139
0.3510
<0.001
0.890
As shown in Fig. 1, accounting for 35.5% (n = 84) of the sample, had a larger probability of reporting a high level of psychological adaptation; therefore, we labeled class 1 “well-adapted group.” Class 2 accounts for 54.9% (n = 131) of the sample. Overall, the members of class 2 had a moderate level of adaptation, this class was named the “General adaptation group.” Class 1 accounted for approximately 9.6% (n = 22) of the sample. For class 1, the probability of endorsing all the items was low, and this class was named the “maladaptative Group.”

Sociodemographic and medical characteristics of the psychological adaptation profiles

Examining the set of sociodemographic characteristics, there have significant differences between the psychological adaptation profiles in Education (H = 15.135, P = 0.001), the type of medical insurance (χ2=12.600, P = 0.013), as shown in Table 1. For the variable " Duration of hematologic malignancies” the post hoc contrasts revealed a p-value of 0.020, which is slightly above the Bonferroni-corrected threshold for statistical significance (p < 0.0167). While this result does not meet the strict criterion for statistical significance, it approaches the threshold and may suggest a trend worth further exploration.

Coping styles, social support and family intimacy of the psychological adaptation profiles

The normality test found that all variables in this group of data were consistent with the absolute value of kurtosis < 10 and the absolute value of skewness < 3, which were in accordance with the approximate normal distribution. Anova analysis was used to explore the differences in coping styles, social support and family relationships among caregivers with different psychological adaptation profiles, in Table 3. The results showed that significant differences in positive coping style styles, social support and family intimacy were found among the three latent classes (P<0.0167).
Least significant difference post hoc test showed that compared to the class 1, patients in the class 2 and class 3 reported higher positive coping style and social support total scores. In terms of family intimacy, compared to the high class, caregivers in the other two classes reported lower family intimacy scores.
Table 3
The Anova analysis of the psychological adaptation profiles and coping style, social support and family intimacy
 
Class1
Class2
Class3
F
P
Positive coping style
12.91 ± 5.37
18.28 ± 5.62
22.52 ± 6.71
26.434
0.000
Negative coping style
8.27 ± 4.88
9.21 ± 4.29
10.18 ± 4.56
2.085
0.127
Social support
47.55 ± 12.31
55.60 ± 11.09
59.79 ± 13.63
9.369
0.000
Family intimacy
61.82 ± 10.89
62.60 ± 11.00
67.75 ± 12.22
5.788
0.004

The multinomial logistic regression mode

We further explored the influencing factors of potential categories of caregiver psychological adaptation. For the multinomial logistic regression model, classes were compared with each other. Taking the well-adapted group as the reference group, General adaptation group and maladaptative Group were compared with them. The result of occurrence ratio (OR) showed that positive coping style, family intimacy, education level of caregivers and type of children’s medical insurance would affect the categories of psychological adaptation of caregivers, as shown in Table 4.
Participants with high positive coping style had significantly higher odds of being classified in class 3 than in class 1 (OR = 0.635, 95% CI 0.530–0.762) and class 2 (OR = 0.881, 95% CI 0.830–0.936). Those with low family intimacy (OR = 0.958, 95% CI 0.927–0.989) were more likely to be in class 2 than in class 3. Those with low level of education(OR = 0.006, 95% CI 0.001, 0.054) were more likely to be in class 1 than in class 3. Provincial/municipal health insurance (OR = 0.273, 95% CI 0.099, 0.754) had significant positive effects on the likelihood of being in class 2 than in class 3.
Table 4
Multiple logistic regression analysis of influencing factors of psychological adjustment of caregivers of children with cancer
 
Class1
Class2
OR
Wald
P
OR
Wald
P
Constant
 
15.857
<0.001
 
18.765
<0.001
Positive coping style
0.635
23.858
<0.001
0.881
16.708
<0.001
Social support
0.990
0.066
0.798
1.017
1.080
0.299
Family intimacy
0.975
0.369
0.544
0.958
6.878
0.009
Duration of hematologic malignancies
      
 0–3
0.089
0.466
0.495
0.385
1.312
0.252
 4–6
0.634
0.065
0.799
0.321
2.403
0.121
 7–12
0.057
3.047
0.081
0.567
0.897
0.344
chemotherapy treatment course
      
 1~
5.628
0.239
0.625
3.808
2.051
0.152
 4~
7.832
1.113
0.291
4.294
2.964
0.085
 7~
4.476
0.972
0.324
2.493
1.812
0.178
Education
      
 Junior high school and less
0.006
20.743
<0.001
0.470
2.870
0.090
 High school/ technical secondary school
0.005
16.216
<0.001
0.493
2.393
0.122
The type of medical insurance
      
 Self-paying
0.247
1.181
0.277
0.364
2.576
0.108
 Provincial/municipal health insurance
/
/
/
0.273
6.271
0.012

Mediation effect analysis

To further explore the mechanism underlying the relationship between family intimacy, positive coping style, and psychological adaptation, we conducted a mediation analysis (Fig. 2; Table 5). This mediation model controlled for two covariates: education and the type of medical insurance. The bootstrapping results revealed a significant direct effect of positive coping style on psychological adaptation (B = 0.040, 95% CI = 0.029–0.050). Additionally, family intimacy had a significant direct effect on positive coping style (B = 0.092, 95% CI = 0.021–0.164) and on psychological adaptation (B = 0.008, 95% CI = 0.002–0.014). Importantly, the indirect effect of family intimacy on psychological adaptation via positive coping style was statistically significant (B = 0.004, 95% CI = 0.0006–0.0069), accounting for approximately 31.62% of the total effect.
Table 5
Direct and indirect effects of the family intimacy on psychological adaptation
 
Model path
Effect/Beta
SE
P
95% CI
Ratio of effect values
Total effect
Family intimacy-Psychological adaptation
0.012
0.003
0.001
[0.005,0.018]
 
Direct effect
Family intimacy-Psychological adaptation
0.008
0.003
0.009
[0.002,0.014]
68.38%
Mediating effect
Family intimacy-Positive coping styles-Psychological adaptation
0.004
0.002
<0.001
[0.001,0.007]
31.62%

Discussion

This study is the first to utilize latent profile analysis (LPA) to identify distinct psychological adaptation profiles among caregivers of children with hematologic malignancies and to explore the influencing factors associated with each profile. The results revealed three psychological adaptation categories: the “well-adapted group”, “general adaptation group” and “maladaptive group”. Furthermore, family intimacy was found to have both direct and indirect effects on psychological adaptation, with positive coping strategies serving as a significant pathway linking these variables. These findings underscore the dynamic interplay between environmental factors (e.g., family relationships) and individual behaviors (e.g., coping strategies) in shaping psychological outcomes. By elucidating these mechanisms, the study provides an evidence-based foundation for developing targeted interventions aimed at enhancing psychological adaptation among caregivers.
The findings of this study revealed that 91.3% of caregivers of children with hematologic malignancies demonstrated moderate to high levels of psychological adaptation, suggesting that this group possesses a certain level of resilience despite the substantial physical and emotional challenges they face. This observation aligns with previous studies that highlighted the adaptive capacity of caregivers in high-stress caregiving environments [34]. Wang et al., [35] also found that caregivers can adapt to children’s cancer experiences over time, and showed courage and strength. However, it is noteworthy that 54.9% of caregivers were classified in the “general adaptation group,” reflecting moderate levels of psychological adaptation. This indicates that while most caregivers demonstrate a baseline level of resilience, their psychological adaptation remains a critical area of concern. For the majority of caregivers, their capacity for psychological adaptation can be seen as a potential resource for intervention. Therefore, there is a pressing need to address their psychological challenges through appropriate interventions to prevent the worsening of mental health problems.
Positive coping strategies were found to play a critical role in enhancing psychological adaptation among caregivers of children with hematologic malignancies. This study highlighted that caregivers employing positive coping mechanisms were more likely to belong to the “well-adapted group,” demonstrating better psychological outcomes. These findings align with previous research, which has consistently shown a strong positive association between active coping strategies and improved mental health outcomes [36, 37]. From a theoretical perspective, positive coping reflects key behavioral components of social cognitive theory, emphasizing the reappraisal of stressors and proactive behavior to mitigate emotional distress [25]. Fairfax et al., [38] also provided coping strategies considered to be adaptive were positively associated with quality of life while, maladaptive strategies were negatively associated with quality of life. These results underscore the practical value of integrating coping strategy training into interventions aimed at improving caregiver well-being.
Family intimacy was found to exert both direct and indirect effects on psychological adaptation among caregivers of children with hematologic malignancies. Caregivers with higher levels of family intimacy were more likely to belong to the “well-adapted group,” demonstrating better psychological outcomes. Family intimacy is an important aspect of family function. Studies have shown that better family intimacy can enable family members to have stronger cohesion and get better support and help when family members encounter difficulties, so as to obtain more positive emotional experience and improve adaptability [39]. This aligns with existing literature emphasizing the critical role of family relationships in alleviating psychological distress and fostering emotional well-being [40]. Toledano-Toledano et al. [34] found caregivers psychological distress issues can be overcome through mobilization of family resources. strong family bonds can reduce feelings of isolation, increase emotional support, and provide tangible resources, all of which contribute to improved psychological adaptation. These findings highlight the importance of family-centered interventions, such as family counseling programs, communication training, and emotional support initiatives, to strengthen family relationships and improve caregivers’ psychological health.
This study provides a new perspective for understanding the mechanism between family environment and individual psychological behavior. Our study found that the family environment not only influences psychological adjustment through direct support, but also exerts an indirect effect by shaping the individual’s coping style. Zhang et al. [41] found that family function directly affected individual coping styles. In the context of high family cohesion, individuals are more likely to adopt positive coping strategies. The study of Mo et al. also believes that close emotional connection and mutual support among family members can help individuals form a positive attitude to cope with stress and life difficulties, and help individuals relieve anxiety and depression [42]. The buffer view of social support holds that external factors such as social support can indirectly affect mental health by influencing factors such as cognition and coping styles of individuals [43]. Good family relationship can provide emotional support for individuals to a large extent, increase their positive emotional experience, and help individuals actively seek ways to relieve stress, so as to improve their adaptability in the process of care. The findings of this study provide a new perspective for understanding the mechanism between family environment and individual psychological behavior. This suggests that future training in coping strategies (e.g., problem-solving skills and emotional regulation) for caregivers needs to be implemented, and such interventions should be integrated into the family unit and focus on the supportive family environment.
This study has several limitations. First, as a cross-sectional study, it cannot establish causal relationships between variables, and future longitudinal studies are needed to confirm the findings. Second, the sample was drawn from specific provinces in China, which may limit the generalizability of the results to other regions or cultural contexts. Third, data were collected using self-reported questionnaires, which may introduce reporting bias or inaccuracies. Lastly, we applied Bonferroni correction to control for multiple comparisons and reduce the risk of Type I error. However, this approach is conservative and may increase the likelihood of Type II error, potentially leading to the failure to detect smaller but meaningful associations. Future studies with larger sample sizes or alternative correction methods may help address this limitation.

Conclusion

This study identified three distinct psychological adaptation profiles among caregivers of children with hematologic malignancies: the well-adapted group, the general adaptation group, and the maladaptive group. These findings underscore the heterogeneity in psychological adaptation among caregivers, emphasizing the need for tailored interventions. Specifically, caregivers in the maladaptive group should be prioritized for interventions aimed at improving their coping skills and psychological resilience. For the general adaptation group, enhancing family support networks and providing training in effective coping strategies could further strengthen their psychological adaptation. Future intervention programs should be designed based on these psychological adaptation classifications to address the unique needs of each subgroup, ensuring more targeted and effective support.
Moreover, the study highlighted the critical roles of family intimacy and positive coping strategies in promoting psychological adaptation. Family intimacy was shown to have both direct and indirect effects on psychological outcomes, mediated by positive coping strategies. These findings suggest that interventions should focus on strengthening family bonds and improving communication within the family unit. Incorporating family-based psychological support and coping skills training into caregiver support programs could significantly enhance caregivers’ mental health and overall well-being. By addressing both family-level and individual-level factors, these interventions hold the potential to mitigate the psychological burden of caregiving and promote sustainable resilience among caregivers.

Acknowledgements

We would like to express our sincere gratitude to all the caregivers who participated in this study and generously shared their time and insights. Their contribution was essential in providing valuable data for our research. Additionally, we acknowledge the research team members for their dedication and efforts in designing and conducting the study.

Declarations

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Zhengzhou University. The study was conducted after obtaining informed consent from all participants.
Not applicable.

Competing interests

The authors declare no competing interests.
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Metadaten
Titel
Psychological adaptation profiles are associated with coping style, social support, and family intimacy in caregivers of children with hematologic malignancies: a cross-sectional study
verfasst von
Meng-Jia Wang
Ming-Yu Chang
Chao-Fan Gu
Rui-Xing Zhang
Publikationsdatum
01.12.2025
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2025
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-025-02873-9