Evidence map›Paper›PMID 36466489›Full record

ArticleFrontiers in public health2022

A chain multiple mediation model reveals the association between abuse and depression in Chinese adolescents.

Xiaoqing Zhan, Kuiliang Li, Yingcan Zheng, Guoyu Yang, Xi Luo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. 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
0.2field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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0 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Xiaoqing ZhanDepartment of Medical English, School of Basic Medical Sciences, Army Medical University, Chongqing, China.
Kuiliang LiSchool of Psychology, Army Medical University, Chongqing, China.
Yingcan ZhengSchool of Psychology, Army Medical University, Chongqing, China.
Guoyu YangSchool of Psychology, Army Medical University, Chongqing, China.
Xi LuoDepartment of Medical English, School of Basic Medical Sciences, Army Medical University, Chongqing, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a common mental disorder in Chinese adolescents. Identifying its risk factors will facilitate early prevention. As abuse is reported to be a great risk factor of depression, it is necessary to identify factors mediating the relation between abuse and depression. Objective: This study aims to investigate the association between abuse and depression by investigating the mediating role of academic stress, social anxiety, and generalized anxiety to offer insights for depression prevention. Participants and setting: We investigated adolescents in urban and rural areas in Wansheng District of Chongqing city in China. This study included a total of 14,108 students from secondary and primary schools, among whom 7,086 were men (50.2%) and 7,022 were women (49.8%). The participants aged from 11 to 17 with an average age of 13.58 ( Methods: A questionnaire survey was conducted among the participants between October and December in 2020. The following questionnaires were adopted: DSM-5 Patient Health Questionnaire for Adolescents, DSM-5 Severity Measure for Generalized Anxiety Disorder, The International Society for Prevention of Child Abuse and Neglect Child Abuse Screening Tool, DSM-5 Severity Measure for Social Anxiety Disorder (Social Phobia), and Study Stress Scale. Results: The lifetime prevalence of abuse was high in Chinese adolescents. The direct effect value from abuse to depression was 0.05, the total mediating effect value was 0.14, and the overall effect value was 0.19. According to the mediating effect analysis, the direct and indirect effects from abuse to depression were significant, and the mediating effect accounted for 73.68% of the total effect, suggesting that 73.68% of the effects of abuse to depression are mediated by academic stress, social anxiety, and generalized anxiety. Conclusions: Academic stress, social anxiety and generalized anxiety play a chain multiple mediating role in the association between abuse and depression, which sheds light on the prevention of depression in the future.

Indexed as

Child AbuseDepressionAdolescentAnxietyAsian PeopleChildChinaFemaleHumansMaleabuseacademic stressdepressiongeneralized anxietysocial anxiety

Identifiers

PMID36466489
PMCPMC9714438
OpenAlexW4309610060

What OpenQuestion holds

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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.