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The prevalence of HIV in high riskpopulation is influenced significantly the behavioral and sociodemographiccharacteristics. However, considering the complexity of behavior among femalesex workers, the relationship between a particular behavioral pattern and theHIV status of this -at risk- population assumes significance. Data generated ina community-based cross-sectional study earlier carried out to assess theprevalence estimates, at district level, of HIV status in eight districts ofState of Andhra Pradesh, India was used to carry out factor analysis to explorethe role of demographic and behavioral pattern and their relationship with theHIV status among female sex workers. Data on 3083 female sex workers in thestudy revealed that there existed nine patterns among demographic andbehavioral characteristics, which explained 62% of the total variation throughfactor analysis. Further, cluster analysis was performed to identify the groupsof individuals having similar characteristics. Two of those clusters hadsizeable numbers having similar characteristics. FSWs belonging to cluster 2had significantly high risk factors compared with Cluster 1. The overallprevalence of HIV was 11.4% 10.6% in cluster 1 and 15.9% in cluster 2 amonghigh risk population. There exists a strong relationship between behavioralpatterns and HIV positive.

KEYWORDS

Behavioral Patterns, Community-Based Cross-Sectional Studies, Principal Component Analysis PCA, Factor Analysis, Cluster Analysis, HIV Status

Cite this paper

Kodavalla, V. , Rajkumar, H. , Rachakulla, H. , Prasad Saride, P. , Kallam, S. and Veera Ginnela, B. 2015 Identification of Socio-Demographic, Behavioral Patterns and Their Relationship with HIV Status among Female Sex Workers. World Journal of AIDS, 5, 41-49. doi: 10.4236-wja.2015.51005.





Autor: Venkaiah Kodavalla1*, Hemalatha Rajkumar1, Harikumar Rachakulla1, Paleswara Vara Prasad Saride1, Srinivasan Kallam2, Brahmam Nars

Fuente: http://www.scirp.org/



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