Evidence map›Paper›PMID 39432518›Full record

ArticlePloS one2024

Trend and predictive psychosocial factors of persistent depression/non-depression in Chinese adolescents: A three-year longitudinal study.

Ming Liu, Fei Xie, Zongpei Dai, Qin Dai, Xin-Li Chi

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Ming LiuDepartment of Medical Psychology, Army Medical University, Chong Qing, China.
Fei XieDepartment of Nursing School, Army Medical University, Chong Qing, China.
Zongpei DaiDepartment of Medical Psychology, Army Medical University, Chong Qing, China.
Qin DaiDepartment of Medical Psychology, Army Medical University, Chong Qing, China.ORCID 0000-0002-5831-7882
Xin-Li ChiSchool of Psychology, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepressive symptoms are common in adolescents, while its prevalence trend in adolescents is seldom reported. In addition, few studies focus on adolescents without depressive symptoms. This study aimed to reveal the trend and predictors of persistent depression/non-depression among Chinese adolescents over three-year period.

methodsThree-wave data were collected from T1 to T3 in a sample from six junior high schools in Shenzhen, China. The 20-item of Center for Epidemiologic Studies Depression Scale was used, with scoring ≥16 as depression.

resultsOf all 1301 adolescents, 33.4%, 15.5% and 9.0% reported depressive symptoms at baseline, T2 and T3 respectively, while 66.6%, 47.7% and 39.6% reported non-depressive symptoms at three time-points. At the individual level, baseline positive identity and general positive youth development significantly increased persistent non-depression at T2 and T3. At the family level, baseline family harmony and communication consistently prevented persistent depression at T2 and T3, while family communication consistently promoted non-depression. At the school level, baseline awareness of no expectation from teacher and poor interpersonal relationship consistently increased persistent depression and prevented non-depression.

conclusionsThe incidence of depression in adolescents aged 11-15 is not high. The rate of persistent non-depression is approximately 30% higher than that of persistent depression, and both have a downward trend over years. Positive youth development and healthy family function are protective factors of depression, while school maladjustment decreases persistent non-depression. During early adolescence, more attention should be paid to family function and school maladjustment to promote non-depression in adolescents from a new broader view.

Indexed as

DepressionAdolescentChildChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMalePrevalenceSchools

Identifiers

PMID39432518
PMCPMC11493258

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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.