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Using a longitudinal network structure to subgroup depressive symptoms among adolescents
Sugai Liang1, Zejun Huang2, Yiquan Wang1
1Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, 310013, Hangzhou, China.
BMC Psychology
|January 24, 2024
Summary
Adolescent depressive symptom severity influences network stability. While overall relationships among symptoms remain stable, higher depression severity may increase this stability over time.
Area of Science:
- Adolescent mental health research
- Network analysis in psychology
- Longitudinal study design
Background:
- Network modeling reveals complex associations between symptoms and mediating factors.
- Understanding how depressive symptom severity impacts these relationships over time is crucial.
Purpose of the Study:
- To investigate the effect of depressive symptom severity on multivariate relationships among symptoms and mediating factors.
- To examine these relationships over a 2-year longitudinal follow-up in adolescents.
Main Methods:
- Recruited a school-based cohort of 1480 primary and secondary school students (n=1145).
- Assessed participants at four time points (ages 10-13 at baseline).
- Utilized network analysis to compare symptom influences in non-depressive (NDS) and depressive symptom (DS) groups based on Patient Health Questionnaire scores.
Main Results:
- Global network metrics were similar between NDS and DS groups.
- Network connection strength varied with symptom severity; learning and social anxiety links were stronger in the NDS group.
- Central factors were oversensitivity (NDS) and impulsivity (DS); node strength and closeness remained stable in both groups.
Conclusions:
- Interrelationships among adolescent symptoms and contributing factors are generally stable.
- Higher severity of depressive symptoms is associated with increased stability in these symptom relationships.
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