Evidence map›Paper›PMID 36406902›Full record

ArticleInternational journal of mental health and addiction2022

The Impact of School Education on Depressive Symptoms in Chinese Adolescents: a Prospective Longitudinal Study.

Miao Qu, Kun Yang, Hengqin Ren, Lulu Wen, Shuping Tan, Meihong Xiu, Xiangyang Zhang

Abstract read
In one paragraph

Article in International journal of mental health and addiction, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Miao Qu *Neurology Department, Xuanwu Hospital of Capital Medical University, Beijing, China.
Kun Yang *Evidence-Based Department, Xuanwu Hospital of Capital Medical University, Beijing, China.
Hengqin RenCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China.
Lulu WenNeurology Department, Xuanwu Hospital of Capital Medical University, Beijing, China.
Shuping TanPeking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Changping District, Beijing, 100096 China.
Meihong XiuPeking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Changping District, Beijing, 100096 China.ORCID 0000-0002-5125-8429
Xiangyang ZhangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing but limited literature on psychological distress among Chinese students, especially the impact of the COVID-19 pandemic, using a longitudinal comparison between in school and at home. This study aimed to assess the psychological status of adolescents in school and related risk and protective factors. We surveyed 13,637 adolescents before the COVID-19 outbreak (T1) and 10,216 after two months of home confinement (T2). The 9-item Patient Health Questionnaire (PHQ-9) was used to assess depressive symptoms or the severity of depression among the adolescents. In addition, the Childhood Trauma Questionnaire and the Connor-Davidson Resilience Scales were also used to screen for experiences of abuse and neglect and to measure resilience in adolescents. At baseline, 22.34% reported depressive symptoms. At T2, this rate decreased to 14.86%. When adolescents were in school, age (

Indexed as

AdolescentsChinese school educationDepressionMental health

Identifiers

PMID36406902
PMCPMC9651092

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.