Longitudinal association between family types and developmental trajectories of depressive symptoms among children and adolescents
10.16835/j.cnki.1000-9817.2026166
- VernacularTitle:家庭类型与儿童青少年抑郁症状发展轨迹的纵向关联
- Author:
YE Juan, WANG Yan, YANG Wenyi, ZHANG Xiyan, WANG Xin, XIANG Yao, YANG Jie
1
Author Information
1. School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu Province, China
- Publication Type:Journal Article
- Keywords:
Family;
Depression;
Mental health;
Regresion analysis;
Child;
Adolescent
- From:
Chinese Journal of School Health
2026;47(5):695-699
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the developmental trajectories of depression in children and adolescents and their association with family types, and to analyze the role of being an only child in the context, so as to provide a basis for early identification of mental health issues in children and adolescents.
Methods:The study was a secondary analysis based on the existing database of the Jiangsu Provincial Student Common Diseases and Health Influencing Factors Monitoring and Intervention Project. A total of 11 502 students who had completed at least two measurements using the Chinese version of the Center for Epidemiologic Studies Depression Scale (CES-D) between 2022 and 2024, and had complete information on family type, gender, and age, were selected as the study subjects. Latent class trajectory modeling was used to identify depression developmental trajectories. Multinomial Logistic regression was applied to analyze the association between family type and depression developmental trajectories, and the interaction effect of family type and being an only child was tested.
Results:Three types of depression developmental trajectories were identified among children and adolescents: low stable type (91.3%, 10 504 students), moderate rising type (4.3%, 500 students), and high declining type (4.3%, 498 students). Significant differences were observed among the different trajectory groups in terms of gender, age, parental education level, family type, baseline CES-D score, and baseline school type ( χ 2/H=17.48, 139.97, 19.72 , 30.77, 1 081.35, 220.81, all P <0.05). Multinomial Logistic regression analysis showed that, using the low stable type as the reference trajectory group and the nuclear family as the reference family type, after adjusting for confounding factors such as gender, age, and parental education level, single parent families ( OR=1.87, 95%CI= 1.16-3.03) and grandparent headed families ( OR=1.83, 95%CI =1.04-3.21) were significantly associated with the high declining type trajectory (both P <0.05). No significant association was found between family type and the moderate rising type trajectory (all P >0.05). The interaction effect between family type and being an only child was not statistically significant ( LRT=7.71, df=8, P =0.46).
Conclusions:Depressive symptoms in children and adolescents show heterogeneous developmental patterns during school age. Children and adolescents from single parent and intergenerational families are more likely to follow the high decreasing trajectory.
