Gender, Migration and HIV in Rural KwaZulu-Natal, South Africa

被引:80
|
作者
Camlin, Carol S. [1 ]
Hosegood, Victoria [2 ,3 ]
Newell, Marie-Louise [3 ,4 ,5 ]
McGrath, Nuala [2 ,3 ]
Barnighausen, Till [3 ,6 ]
Snow, Rachel C. [7 ]
机构
[1] Univ Calif San Francisco, Ctr AIDS Prevent Studies, San Francisco, CA 94143 USA
[2] London Sch Hyg & Trop Med, Dept Epidemiol & Populat Hlth, London WC1, England
[3] Univ KwaZulu Natal, Nelson R Mandela Sch Med, Africa Ctr Hlth & Populat Studies, Somkhele, South Africa
[4] UCL, Ctr Paediat Epidemiol & Biostat, London, England
[5] UCL, Inst Child Hlth, London, England
[6] Harvard Univ, Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA 02115 USA
[7] Univ Michigan, Sch Publ Hlth, Dept Hlth Behav & Hlth Educ, Ann Arbor, MI 48109 USA
来源
PLOS ONE | 2010年 / 5卷 / 07期
基金
英国惠康基金;
关键词
SEXUALLY-TRANSMITTED INFECTIONS; RISK; LABOR; MIGRANT; PARTNERSHIPS; MORTALITY; BEHAVIOR; IMPACT;
D O I
10.1371/journal.pone.0011539
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives: Research on migration and HIV has largely focused on male migration, often failing to measure HIV risks associated with migration for women. We aimed to establish whether associations between migration and HIV infection differ for women and men, and identify possible mechanisms by which women's migration contributes to their high infection risk. Design: Data on socio-demographic characteristics, patterns of migration, sexual behavior and HIV infection status were obtained for a population of 11,677 women aged 15-49 and men aged 15-54, resident members of households within a demographic surveillance area participating in HIV surveillance in 2003-04. Methods: Logistic regression was conducted to examine whether sex and migration were independently associated with HIV infection in three additive effects models, using measures of recent migration, household presence and migration frequency. Multiplicative effects models were fitted to explore whether the risk of HIV associated with migration differed for males and females. Further modeling and simulations explored whether composition or behavioral differences accounted for observed associations. Results: Relative to non-migrant males, non-migrant females had higher odds of being HIV-positive (adjusted odds ratio [aOR] = 1.72; 95% confidence interval [1.49-1.99]), but odds were higher for female migrants (aOR = 2.55 [2.07-3.13]). Female migrants also had higher odds of infection relative to female non-migrants (aOR = 1.48 [1.23-1.77]). The association between number of sexual partners over the lifetime and HIV infection was modified by both sex and migrant status: For male non-migrants, each additional partner was associated with 3% higher odds of HIV infection (aOR = 1.03 [1.02-1.05]); for male migrants the association between number of partners and HIV infection was non-significant. Each additional partner increased odds of HIV infection by 22% for female non-migrants (aOR = 1.22 [1.12-1.32]) and 46% for female migrants (aOR = 1.46 [1.25-1.69]). Conclusions: Higher risk sexual behavior in the context of migration increased women's likelihood of HIV infection.
引用
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页数:10
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