Evidence map›Paper›PMID 31470819›Full record

ArticleBMC public health2019

Inequities in consistent condom use among sexually experienced undergraduates in mainland China: implications for planning interventions.

Fang Ruan, Guochen Fu, Yongfu Yan, Yajie Li, Yulin Shi, Lan Luo, Xin Li, Bolun Zhang, Qinxin Gong, Zihan Fu and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.0field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  6. Focusing on Safety or Pleasure Determine Condom Use Intentions Differently Depending on Condom Availability and STI Risk.International journal of sexual health : official journal of the World Association for Sexual Health · 2023
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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

15 authors at 1 institution in 1 country.

Fang RuanDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Guochen FuNational Demonstration Center for Experimental General Medicine Education of Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Yongfu YanDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Yajie LiDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Yulin ShiDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Lan LuoDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Xin LiDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Bolun ZhangDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Qinxin GongDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Zihan FuDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Yuhang GanDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Mengge PanDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Yusi LiuDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China.
Jihong ZhanDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China. 379352608@qq.com.
Junfang WangDepartment of Preventive Medicine, School of Basic Medical Sciences, Hubei University of Science and Technology, No.88 Xianning Avenue, Xianning City, 437100, Hubei Province, China. 1154262148@qq.com.ORCID http://orcid.org/0000-0003-3670-5398
Hubei University of Science and Technology · CN

Funding

Hubei University of Science and Technology 2018-19X038National College Students' innovation and entrepreneurship training program 201810927005the Chinese Association of STD and AIDS Prevention and Control 2018421200B000405
6 · The paper itself

Abstract

backgroundSince pre-exposure prophylaxis (PrEP) is mainly prescribed to high-risk uninfected individuals, consistent condom use (CCU) continues to be recommended as an inexpensive, feasible, practical and acceptable way to prevent the general population from acquiring and transmitting HIV through sexual intercourse. The objective of this cross-sectional study was to compare the relative importance of various determinants of CCU among sexually experienced undergraduates in mainland China so as to assess and subsequently to suggest ways to eliminate inequities in its use.

methodFrom September 10, 2018, to January 9, 2019, an anonymous self-administered online questionnaire was voluntarily completed by 12,750 participants distributed across 30 provinces in mainland China (except for Tibet). The present analysis was restricted to 2054 sexually experienced undergraduates. Pearson's chi-square test and Logistic regression models were chosen to analyze the factors associated with CCU.

resultsThe overall rate of CCU was 61.3% [95% confidence interval (CI) = 59.2-63.4%]. CCU was inequitably distributed since enabling factors exerted greater effects than predisposing and need variables. Compared with heterosexual men, heterosexual women [adjusted odds ratio (AOR) = 0.78, 95% confidence interval (CI):0.64-0.96)], non-heterosexuals men (AOR = 0.64, 95% CI:0.45-0.92) and women (AOR = 0.68, 95% CI:0.47-0.99) were less prone to using condoms consistently. Those with more resources [i.e., higher levels of self- efficacy for condom use (AOR = 2.86, 95% CI:2.35-3.49) and being knowledgeable of the national AIDS policy (AOR = 1.50, 95% CI:1.23-1.82)], and those with lower need for condoms [i.e., late initiation of sexual activity (AOR = 1.34, 95% CI:1.09-1.64) and single sexual partner (AOR = 1.68,95% CI:1.21-2.33)] were more likely to be consistent condom users.

conclusionsIn order to increase consistency of condom use and simultaneously reduce the remaining inequities, a comprehensive intervention measure should be taken to target heterosexual women, non-heterosexual men and women, and those with higher need for condoms, improve their condom use self- efficacy and raise their awareness of the national AIDS policy.

Indexed as

AdolescentChinaCondomsCross-Sectional StudiesFemaleHealth PlanningHIV InfectionsHumansMaleModels, PsychologicalSexual BehaviorSocioeconomic FactorsStudentsSurveys and QuestionnairesUniversitiesYoung AdultAndersen’s behavioral modelChinaConsistent condom useHierarchical logistic regressionUndergraduates

Identifiers

PMID31470819
PMCPMC6716903
OpenAlexW2970765225

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.