Evidence map›Paper›PMID 29695304›Full record

ArticleGlobalization and health2018

The impact of social organizations on HIV/AIDS prevention knowledge among migrants in Hefei, China.

Wenting Wang, Ren Chen, Ying Ma, Xuehui Sun, Xia Qin, Zhi Hu

Abstract read
In one paragraph

Article in Globalization and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

11 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

6 authors.

Wenting WangSchool of Health Service Management, Anhui Medical University, No.81 Meishan Road, Hefei, 230032, China.
Ren ChenSchool of Health Service Management, Anhui Medical University, No.81 Meishan Road, Hefei, 230032, China.
Ying MaSchool of Health Service Management, Anhui Medical University, No.81 Meishan Road, Hefei, 230032, China.
Xuehui SunSchool of Health Service Management, Anhui Medical University, No.81 Meishan Road, Hefei, 230032, China.
Xia QinSchool of Health Service Management, Anhui Medical University, No.81 Meishan Road, Hefei, 230032, China.
Zhi HuSchool of Health Service Management, Anhui Medical University, No.81 Meishan Road, Hefei, 230032, China. 1203856674@qq.com.

Funding

The National Natural Science Foundation of China 71473002
6 · The paper itself

Abstract

backgroundThere is a growing recognition of the need to provide HIV/AIDS prevention and care to migrant workers. Social involvement, a type of social capital, is considered a 'critical enabler' of effective HIV/AIDS prevention. Designated participation in formal community groups by the government (e.g., political parties) and informal, voluntary local networks by NGOs (e.g., alumni association, cultural & sports club) play different roles in HIV prevention. The objective of this study is to assess the impact of different types of social organizations on HIV/AIDS prevention knowledge among migrant workers.

methodsA cross-sectional study of 758 migrants was conducted in Hefei, Anhui Province, China. Data were collected through a self-reported questionnaire. Logistic regression was used to assess associations between different social organizations and HIV/AIDS prevention.

resultsMigrants who participated in social organizations had a higher awareness of HIV/AIDS knowledge than migrants who do not participate in social organizations. Higher levels of HIV/AIDS knowledge is associated with positive HIV/AIDS behaviors for people who attended political parties (odds ratio [OR] = 3.49, 95% CI: 1.22-9.99). This effect is not significant for alumni association. For both political parties and alumni association members (OR = 0.19, 95% CI: 0.06-0.66, OR = 0.20, 95% CI: 0.08-0.61, respectively), people who exhibited higher levels of HIV/AIDS knowledge had more negative attitudes than those with less knowledge.

conclusionSocial organizations play an important role in improving HIV/AIDS knowledge and behavior in migrants, providing a great opportunity for HIV/AIDS prevention.

Indexed as

Health Knowledge, Attitudes, PracticeSocial CapitalAdolescentAdultChinaCross-Sectional StudiesFemaleHIV InfectionsHumansMaleSelf ReportTransients and MigrantsYoung AdultAlumni associationHIV/AIDSMigrantsPolitical partySocial organizations

Identifiers

PMID29695304
PMCPMC5918763

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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.