Evidence map›Paper›PMID 39543542›Full record

ArticleBMC public health2024

Depressive symptoms among rural left-behind children and adolescents in China: a large-scale cross-sectional study.

Qian-Nan Ruan, Guang-Hui Shen, Su Xu, Dongwu Xu, Wen-Jing Yan

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 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

5 authors.

Qian-Nan RuanWenzhou Seventh People's Hospital, Wenzhou, China.
Guang-Hui ShenWenzhou Seventh People's Hospital, Wenzhou, China.
Su XuDepartment of Psychology, School of Education, Wenzhou University, Wenzhou, China.
Dongwu XuWenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health, Wenzhou Medical University, Wenzhou, 325015, China. xdw@wmu.edu.cn.
Wen-Jing YanWenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health, Wenzhou Medical University, Wenzhou, 325015, China. yanwj@wmu.edu.cn.

Funding

Social Science Foundation of China 23BSH135
6 · The paper itself

Abstract

backgroundLeft-behind children(LBC) in rural China are at increased risk for mental health problems, including depression. This study aimed to estimate the prevalence of depression and identify key associate factors among Chinese rural LBC.

methodsA cross-sectional study was conducted using data from 36,612 LBC aged 6 to 18 years old across 596 data collection sites in Nanchong, Sichuan Province, China. Participants completed questionnaires assessing individual factors, family parenting situation, living events, and health-related data. Depression was measured using the Center for Epidemiological Studies-Depression Scale (CES-D). T-tests, chi-square, and logistic regression were performed to identify factors associated with depression.

resultsThe overall prevalence of depression among LBC was 6.75%. Logistic regression analysis revealed that family parenting situations, such as being from blended families (OR = 1.45) or being cared for by other family members (OR = 1.64), and dissatisfaction with the parenting situation (OR = 1.57) were significantly associated with higher odds of depression. Living events, including being misunderstood (OR = 1.82) and having disputes (OR = 1.48), and health-related factors, such as chronic diseases and regular medication use (OR = 2.38), also increased the risk of depression.

conclusionsThis study highlights the high prevalence of depression among Chinese rural LBC and identifies key associate factors, including family parenting situation, negative living events and health-related factors. Targeted interventions and policies addressing these factors are needed to promote the mental health of this vulnerable population.

Indexed as

DepressionRural PopulationAdolescentChildChinaCross-Sectional StudiesFemaleHumansMaleParentingPrevalenceRisk FactorsSurveys and QuestionnairesAssociate factorsDepressionLeft-behind children(LBC)PrevalenceRural China

Identifiers

PMID39543542
PMCPMC11562500

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.