Evidence map›Paper›PMID 40165986›Full record

ArticleFrontiers in public health2025

Longitudinal network analysis of depression, anxiety, and post-traumatic stress disorder comorbidities among adolescents in regional China.

Heting Li, Jiahe Liu, Yamin Wang, Zhenchao Li, Shiwei Mei, Zigang Zhang, Linlin Fan, Lihua Jiang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Heting LiDepartment of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Jiahe LiuAIM for Health Lab, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Yamin WangDepartment of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Zhenchao LiDepartment of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Shiwei MeiDepartment of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Zigang ZhangDepartment of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Linlin FanDepartment of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Lihua JiangTeaching & Research Section of General Practice, The General Practice Medical Center, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The network theory of mental disorders offers a new perspective for the understanding of comorbidities, but the research on the comorbidities among depression, anxiety, and post-traumatic stress disorder (PTSD) is still insufficient. The aim of this study was to explore the internal relationship by establishing and analyzing the comorbidity networks, and to provide suggestions for the intervention after traumatic events. Methods: We utilized data from the second and third wave of the Chengdu Positive Child Development cohort ( Results: K27 (Somatic 10), K37 (Generalized Anxiety 9), K15 (Somatic 5), K33 (Generalized Anxiety 7), K24 (Somatic 9) were the most central nodes in both networks, P13 (Sleep problem) had the highest Bridge Expected Influence value. The structural difference between the two networks was statistically significant (M = 0.229, Conclusion: The correlation in symptoms of the three disorders underscores the need for more comprehensive treatment options for intervention after traumatic events. Central and bridge nodes could inform targeted interventions or policy decisions. Anxiety disorders, especially Som and Gen dimensions, should be the focus of intervention. The Arousal dimension in PTSD, especially sleep disorders, may contribute to the comorbidities. In addition, this study highlights the importance of staged post-traumatic interventions.

Indexed as

AnxietyDepressionStress Disorders, Post-TraumaticAdolescentChildChinaComorbidityFemaleHumansLongitudinal StudiesMaleadolescent healthanxietycomorbiditiesCOVID-19depressionlongitudinal studynetwork analysispost-traumatic stress disorder

Identifiers

PMID40165986
PMCPMC11955477

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.