HIV and Viremia Prevalence in Nonmigrating Members of Migrant Households in Southern Uganda: A Cross-Sectional Population-Based Study

被引:1
作者
Young, Ruth [1 ]
Ssekasanvu, Joseph [2 ]
Kagaayi, Joseph [3 ,4 ]
Ssekubugu, Robert [3 ]
Kigozi, Godfrey [3 ]
Reynolds, Steven J. [2 ,5 ,6 ]
Nonyane, Bareng A. S. [1 ]
Chang, Larry W. [1 ,2 ,6 ]
Kennedy, Caitlin E. [1 ]
Paina, Ligia [1 ]
Anglewicz, Philip A. [7 ]
Quinn, Thomas C. [5 ,8 ]
Serwadda, David [3 ,4 ]
Nalugoda, Fred [3 ]
Grabowski, M. K. [2 ,8 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[3] Rakai Hlth Sci Program, Kalisizo, Uganda
[4] Makerere Univ, Sch Publ Hlth, Kampala, Uganda
[5] NIAID, Div Intramural Res, NIH, Bethesda, MD USA
[6] Johns Hopkins Sch Med, Dept Med, Baltimore, MD USA
[7] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Populat Family & Reprod Hlth, Baltimore, MD USA
[8] Johns Hopkins Sch Med, Dept Pathol, Baltimore, MD USA
关键词
transients and migrants; Uganda; HIV; family relations; prevalence; ANTIRETROVIRAL THERAPY; FAMILY INSTABILITY; UNION DISSOLUTION; MIGRATION; SUPPORT; AFRICA; ADHERENCE; HIV/AIDS; RAKAI; RISK;
D O I
10.1097/QAI.0000000000003553
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Introduction:In Africa, migrants are more likely to be living with HIV and HIV viremic than nonmigrants, but less is known about HIV outcomes among nonmigrants living in households with migrants. We compared HIV outcomes in nonmigrating persons in households with and without migration. Methods:We analyzed cross-sectional data collected between August 2016 and May 2018 from nonmigrating participants aged 15-49 years in the Rakai Community Cohort Study in Uganda. Migrant households were classified as those reporting >= 1 member moving into or out of the household since the prior survey. HIV serostatus was determined using a validated testing algorithm, and viremia defined as >1000 copies/mL. Modified Poisson regression was used to estimate prevalence ratios between household migration and HIV outcomes. Analyses were stratified by gender, direction of migration (into/out of household), and relationship between nonmigrants and migrants (eg, spouse). Results:There were 14,599 nonmigrants (52% women) and 4415 (30%) lived in a household with >= 1 migrant. Of these, 972 (22%) had migrant spouses, 1102 (25%) migrant children, and 875 (20%) migrant siblings. Overall, HIV prevalence and viremia did not differ between nonmigrants in households with and without migration. However, in stratified analyses, nonmigrant women with migrant spouses were significantly more likely to be HIV seropositive compared with nonmigrant women with nonmigrant spouses [adjusted prevalence ratio: 1.44, 95% confidence interval: 1.21 to 1.71]. Conversely, nonmigrant mothers living with HIV who had migrant children were less likely to be viremic (adjusted prevalence ratio: 0.34, 95% confidence interval: 0.13 to 0.86). Conclusions:Nonmigrating women with migrating spouses are more likely be living with HIV, and may benefit from additional HIV support services.
引用
收藏
页码:150 / 160
页数:11
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