Factors Associated With the Likelihood of Further Movement Among Mobile Female Sex Workers in India

A Multinomial Logit Approach

Dados Bibliográficos

ID24076892
AutoresDipak Suryawanshi (Tata Institute of Social Sciences, autor correspondente), Varun Sharma (0000-0003-3854-6474, Tata Institute of Social Sciences), Niranjan Saggurti (0000-0002-5267-8425, Population Council), Shalini Bharat (0000-0002-2413-6987, Tata Institute of Social Sciences)
Ano2016
Volume48
Fascículo4
Páginas539-556
Data de publicação2016-07-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Biosocial Science (JOURNAL)
Identificadores do periódicoISSN: 0021-9320 • E-ISSN: 1469-7599
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0021932015000267
PMID26257210
OpenAlexW2124793031
IdiomaEN
Citações recebidas1
Referências citadas42

Female sex workers (FSWs) are vulnerable to HIV infection. Their socioeconomic and behavioural vulnerabilities are crucial push factors for movement for sex work. This paper assesses the factors associated with the likelihood of movement of sex workers from their current place of work. Data were derived from a cross-sectional survey conducted among 5498 mobile FSWs in 22 districts of high in-migration across four states in southern India. A multinomial logit model was constructed to predict the likelihood of FSWs moving from their current place of work. Ten per cent of the sampled mobile FSWs were planning to move from their current place of sex work. Educational attainment, marital status, income at current place of work, debt, sexual coercion, experience of violence and having tested for HIV and collected the results were found to be significant predictors of the likelihood of movement from the current place of work. Consistent condom use with different clients was significantly low among those planning to move. Likewise, the likelihood of movement was significantly higher among those who had any STI symptom in the last six months and those who had a high self-perceived risk of HIV. The findings highlight the need to address factors associated with movement among mobile FSWs as part of HIV prevention and access to care interventions.

Demographic economics · Econometrics · Economics · Logistic regression · Logit · Multinomial logistic regression · Sociology · Statistics · Demography · HIV, Drug Use, Sexual Risk · Mathematics · Migration and Labor Dynamics · Sex work and related issues