Association between childhood maltreatment patterns and comorbidity of depression and anxiety in left-behind children: a latent class analysis

Abstract Background Childhood maltreatment (CM) represents a significant risk factor for depression and anxiety symptoms, with left-behind children (LBC) demonstrating heightened exposure. Existing studies have been restricted to certain types of CM, and paid little attention to comorbidity of depression and anxiety in LBC. This study aimed to comprehensive assess the association between CM patterns and comorbidity of depression and anxiety in LBC. Method A total of 7928 LBC was included in this cross-sectional study. Latent class analysis was used to identify the CM patterns. Logistic regression was used to investigate the association between CM patterns and comorbidity of depression and anxiety. Subgroup analyses were further used to assess the heterogeneity in the association between CM patterns and comorbidity of depression and anxiety. Results Three CM patterns were identified in this study. Compared to LBC from the least maltreatment group, those from the low abuse and high neglect group (OR: 1.95; 95% CI: 1.73–2.21), and severe maltreatment group (OR: 7.83; 95% CI: 6.17–9.93) showed stronger association between CM patterns and comorbidity of depression and anxiety. Notably, subgroup analysis unveiled significant interactions between the sex and CM patterns (P for interaction < 0.05), and female LBC showed stronger association between CM patterns and comorbidity of depression and anxiety. Conclusions These findings identify distinct CM-based risk profiles and emphasize the urgent need to develop targeted interventions informed by these patterns among LBC, especially female LBC, to mitigate the risk of unfavorable psychological health outcomes.

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Journal
BMC Psychiatry
Published
2026-01-29
DOI
https://doi.org/10.1186/s12888-026-07848-x
Primary Topic
Child Abuse and Trauma
Type
article
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article

Association between childhood maltreatment patterns and comorbidity of depression and anxiety in left-behind children: a latent class analysis

Feng Zhou, Bing Xiang, Jing Zeng, Yudu Liu et al.
BMC Psychiatry
Child Abuse and Trauma
article

Association between childhood maltreatment patterns and comorbidity of depression and anxiety in left-behind children: a latent class analysis

Feng Zhou, Bing Xiang, Jing Zeng, Yudu Liu, Jiangxue Wang, Xian Wu, Yanming Li, Can Jiang, Mei Yang, Xinyan Xie
article en

Abstract

Abstract Background Childhood maltreatment (CM) represents a significant risk factor for depression and anxiety symptoms, with left-behind children (LBC) demonstrating heightened exposure. Existing studies have been restricted to certain types of CM, and paid little attention to comorbidity of depression and anxiety in LBC. This study aimed to comprehensive assess the association between CM patterns and comorbidity of depression and anxiety in LBC. Method A total of 7928 LBC was included in this cross-sectional study. Latent class analysis was used to identify the CM patterns. Logistic regression was used to investigate the association between CM patterns and comorbidity of depression and anxiety. Subgroup analyses were further used to assess the heterogeneity in the association between CM patterns and comorbidity of depression and anxiety. Results Three CM patterns were identified in this study. Compared to LBC from the least maltreatment group, those from the low abuse and high neglect group (OR: 1.95; 95% CI: 1.73–2.21), and severe maltreatment group (OR: 7.83; 95% CI: 6.17–9.93) showed stronger association between CM patterns and comorbidity of depression and anxiety. Notably, subgroup analysis unveiled significant interactions between the sex and CM patterns (P for interaction < 0.05), and female LBC showed stronger association between CM patterns and comorbidity of depression and anxiety. Conclusions These findings identify distinct CM-based risk profiles and emphasize the urgent need to develop targeted interventions informed by these patterns among LBC, especially female LBC, to mitigate the risk of unfavorable psychological health outcomes.

BMC PsychiatryVol. 26(1)
Hubei Provincial Women and Children's Hospital (CN), Wuhan University of Science and Technology (CN), University of Edinburgh (GB)
Reduced inequalities
Openalex Percentile: Top 76%
Child Abuse and Trauma
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