Evidence map›Paper›PMID 36186869›Full record

ArticleFrontiers in psychiatry2022

The role of family and peer factors in the development of early adolescent depressive symptoms: A latent class growth analysis.

Jiaying Zhang, Guangyao Lin, Qiaole Cai, Qian Hu, Yuan Xu, Zhaoming Guo, Defan Hong, Yingying Huang, Yijun Lv, Jing Chen and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Predicting adolescent depression: an interpretable machine learning model.BMC medical informatics and decision making · 2026
    Article
  2. Article
  3. Article
  4. Article
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

11 authors.

Jiaying ZhangThe Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Wenzhou, China.
Guangyao LinThe Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Wenzhou, China.
Qiaole CaiThe Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Wenzhou, China.
Qian HuSchool of Foreign Languages, Wenzhou Medical University, Wenzhou, China.
Yuan XuDepartment of Applied Psychology in School of Mental Health, Wenzhou Medical University, Wenzhou, China.
Zhaoming GuoDepartment of Applied Psychology in School of Mental Health, Wenzhou Medical University, Wenzhou, China.
Defan HongDepartment of Applied Psychology in School of Mental Health, Wenzhou Medical University, Wenzhou, China.
Yingying HuangDepartment of Applied Psychology in School of Mental Health, Wenzhou Medical University, Wenzhou, China.
Yijun LvSchool of Innovation and Entrepreneurship, Wenzhou Medical University, Wenzhou, China.
Jing ChenPlanning and Development Decision Institute (Higher Education Research Institute), Wenzhou Medical University, Wenzhou, China.
Suo JiangThe Affiliated Wenzhou Kangning Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have explored the trajectories of Chinese early adolescent depressive symptoms or comprehensively considered the factors of family and peers. The present study aimed to identify the trajectories of depressive symptoms in early adolescence using a school-based sample assessed in three waves. The study also examined whether family and peer factors were significant predictors. A total of 586 Chinese primary and middle school students participated in the survey. A growth mixture model was used to find the trajectories of depressive symptoms, and multinominal logistic regression was used to identify the predictors. Three trajectories were identified, including a stable-low class, an increasing class, and a high-decreasing class. Results indicated that gender, parental psychological aggression and neglect, parental psychological control, traditional bullying/cyberbullying victimization, and friendship quality were significant predictors. However, witnessing intimate partner violence, parental behavior control, and traditional bullying/cyberbullying perpetration could not significantly predict the trajectories. The findings of this study can provide an empirical basis for teachers and clinical interveners to determine different development trajectories of depressive symptoms and carry out prevention and intervention.

Indexed as

depressive symptomsdevelopment trajectoriesearly adolescencefamilypeers

Identifiers

PMID36186869
PMCPMC9520917

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.