Evidence map›Paper›PMID 23998493›Full record

ArticleCulture, health & sexuality2014

Typology of older female sex workers and sexual risk for HIV infection in China: a qualitative study.

Chun Hao, Hongjie Liu, Susan G Sherman, Baofa Jiang, Xiaojing Li, Yongfang Xu, Zhenxia Jiang, Chunpeng Zang

Abstract read
In one paragraph

Article in Culture, health & sexuality, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

22 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

8 authors.

Chun Haoa Department of Epidemiology and Biostatistics , School of Public Health, University of Maryland College Park , College Park , MD , USA.
Hongjie Liu
Susan G Sherman
Baofa Jiang
Xiaojing Li
Yongfang Xu
Zhenxia Jiang
Chunpeng Zang

Funding

MARYLAND POPULATION RESEARCH CENTERR24HD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI RENDALL, MICHAEL S. · 2001 to 2016
$6.6M
Social network and sexual risk for HIV/STIs among older female sex workersR01HD068305 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI LIU, HONGJIE · 2011 to 2014
$1.6M
NICHD NIH HHS 5R01HD068305-02NICHD NIH HHS R01 HD068305NICHD NIH HHS R24 HD041041
6 · The paper itself

Abstract

The HIV epidemic continues to develop among older adults in China, including older female sex workers. Yet, few studies have been conducted among this relatively hidden population. The objectives of this study were to investigate the reasons for women's entry into sex work during their 30s and to develop typology of older women sex workers. Semi-structured in-depth interviews were conducted with 63 older women sex workers and six focus-group interviews with stakeholders in three cities in China in 2012. Data were analysed inductively using constant comparative method. The mean age of participants was 43 years and the mean age of entry into sex work was 39 years. The primary reasons for entry into sex work included heavy economic burdens, limited employment opportunities and the appealing nature of sex work. Street-based and venue-based older sex workers were identified based on where they solicited clients. Street-based older sex workers were more likely to engage in unsafe commercial sex due to financial incentives, whereas those in entertainment venues were unlikely to use condoms with regular clients. The development of effective HIV interventions needs to consider older women sex worker's unique characteristics and target factors that impede safer-sex practices.

Indexed as

HIV InfectionsRiskSex WorkSex WorkersUnsafe SexWomenAdultAge FactorsChinaCondomsFemaleFocus GroupsHumansMiddle AgedQualitative Research

Identifiers

PMID23998493
PMCPMC4010200

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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.