Mapping Multilevel Correlates of Adolescent Mental Health: Evidence from an Ecological Network Study.

Yunjing Li, Shuo Gong, Haijiang Li

Abstract read

In one paragraph

Article in Child psychiatry and human development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yunjing LiSchool of Psychology, Shanghai Normal University, No.100 Guilin Rd. Xuhui District, Shanghai, 200234, China.

Shuo GongSchool of Psychology, Shanghai Normal University, No.100 Guilin Rd. Xuhui District, Shanghai, 200234, China.

Haijiang LiSchool of Psychology, Shanghai Normal University, No.100 Guilin Rd. Xuhui District, Shanghai, 200234, China. haijiangli@shnu.edu.cn.ORCID http://orcid.org/0000-0003-2551-3278

Funding

National Natural Science Foundation of China 31700995Shanghai Normal University 310-C-6135-23-010100

6 · The paper itself

Abstract

Rising concerns about youth mental health underscore the need to clarify ecological correlates of broad psychological vulnerability. Using a school-based sample of 8,981 Chinese adolescents, this study examined multilevel correlates of a latent general psychopathology factor (p factor) of mental health difficulties. Self-report measures assessed individual, family, school, and social-environmental factors. A sequential feature-selection procedure (univariate screening, LASSO, Boruta) identified 31 candidate variables, which were incorporated into a Bayesian network to estimate conditional associations. Twenty-four variables showed direct conditional associations with the p factor, spanning sleep quality, repetitive negative thinking, impulsivity, childhood trauma, interparental conflict, peer verbal victimization, learning burnout, academic stress, and digital social pressures. Sleep quality demonstrated the strongest association. Findings highlight the interplay of individual and contextual correlates of broad psychopathology and may help inform school- and family-based prevention efforts.

Indexed as

Adolescent mental healthEcological correlatesNetwork analysisPsychosocial correlates

Identifiers

PMID42622772

DOI10.3390/fi13090223

What OpenQuestion holds

Textmetadata

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.