Evidence map›Paper›PMID 37927859›Full record

ArticleFrontiers in public health2023

Ecological factors associated with child sexual abuse among 15- to 17-year-old adolescents in mainland China: implications for intervention.

Guochen Fu, Yao Xu, Mingliang Pan, Ziyuan Zhang, Hudie Zhang, Youxiong Zhao, Lu Lin, Zijie Ye, Jiajun Liu, Fangjun Lan and 13 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

23 authors at 1 institution in 1 country.

Guochen FuDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Yao XuDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Mingliang PanDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Ziyuan ZhangDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Hudie ZhangDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Youxiong ZhaoDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Lu LinDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Zijie YeDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Jiajun LiuDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Fangjun LanDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Dongsheng LuoDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Siyi WangDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Bangzheng ZhuDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Xinyu LiaoDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Mengsi HongDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Jilun ChenDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Zihao LiDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Gaoming YangDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Ziyuan ZhaoDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Yusi LiuDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Fang RuanDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Chunyan YangDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Junfang WangDepartment of Preventive Medicine, Hubei University of Science and Technology, Xianning, China.
Hubei University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Child sexual abuse is a major public health problem with adverse consequences for victims' physical, mental, and reproductive health. This cross-sectional study aimed to determine the prevalence of child sexual abuse and its associated factors among 15- to 17-year-old adolescents in mainland China. Methods: From September 8, 2019 to January 17, 2020, a total of 48,660 participants were recruited by 58 colleges and universities across the whole country to complete the self-administered, structured, online questionnaire. This analysis was restricted to 3,215 adolescents aged between 15 and 17 years in mainland China. Chi-square tests and multivariate Logistic regression analyses were performed to identify individual, relationship, and community factors associated with child sexual abuse. Results: The overall prevalence of child sexual abuse was 12.0%. More specifically, 13.0% of girls and 10.6% of boys reported that they were sexually abused prior to 18 years of age. At the individual level, being female, sexual minority identity, younger age, and higher levels of knowledge, skills and self-efficacy regarding condom use were significantly related to increased odds of reporting sexual abuse. At the relationship and community level, adolescents from disrupted families and those entering into a marriage, having casual sexual partners, and having first intercourse at a younger age were more likely to report sexual abuse. On the contrary, those who had never discussed sex-related topics with their family members at home and were offered school-based sexuality education later (vs. earlier) were less likely to report sexual abuse. Conclusion: Multilevel prevention programs and strategies, including targeting adolescents with high-risk characteristics, educating young children and their parents about child sexual abuse prevention and optimizing the involvement of parents, school, community, society and government in comprehensive sexuality education, should be taken to reduce child sexual abuse among 15- to 17-year-old adolescents.

Indexed as

Child Abuse, SexualAdolescentChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansMaleSexual BehaviorSurveys and Questionnairesadolescentschild sexual abuseecological modelgendersexual minority

Identifiers

PMID37927859
PMCPMC10623125
OpenAlexW4387820704

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.