Geographic distribution of HIV stigma among women of childbearing age in rural Kenya

被引:12
作者
Akullian, Adam [1 ]
Kohler, Pamela [2 ,3 ,4 ]
Kinuthia, John [6 ]
Laserson, Kayla [9 ]
Mills, Lisa A. [7 ,8 ]
Okanda, John [8 ]
Olilo, George [8 ]
Ombok, Maurice [8 ]
Odhiambo, Frank [8 ]
Rao, Deepa [2 ,3 ]
Wakefield, Jonathan [5 ]
John-Stewart, Grace [1 ,2 ,3 ]
机构
[1] Univ Washington, Sch Publ Hlth & Community Med, Dept Epidemiol, Seattle, WA 98195 USA
[2] Univ Washington, Sch Publ Hlth, Seattle, WA 98195 USA
[3] Univ Washington, Sch Med, Dept Global Hlth, Seattle, WA 98195 USA
[4] Univ Washington, Sch Nursing, Seattle, WA 98195 USA
[5] Univ Washington, Dept Stat, Seattle, WA 98195 USA
[6] Univ Nairobi, Nairobi, Kenya
[7] Ctr Dis Control & Prevent CDC, Div HIV AIDS Prevent, Atlanta, GA USA
[8] Kenya Med Res Inst CDC Res & Publ Hlth Collaborat, Kisumu, Kenya
[9] CDC, Ctr Global Hlth, Atlanta, GA 30333 USA
基金
美国国家科学基金会;
关键词
community-level interventions; geographic information systems; HIV stigma; maternal and child health; spatial epidemiology; TO-CHILD TRANSMISSION; AIDS STIGMA; HEALTH; HIV/AIDS; DISCRIMINATION; PREVENTION; SERVICES; BARRIERS; BEHAVIOR; MODEL;
D O I
10.1097/QAD.0000000000000318
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objective(s): HIV stigma is considered to be a major driver of the HIV/AIDS pandemic, yet there is a limited understanding of its occurrence. We describe the geographic patterns of two forms of HIV stigma in a cross-sectional sample of women of childbearing age from western Kenya: internalized stigma (associated with shame) and externalized stigma (associated with blame). Design: Geographic studies of HIV stigma provide a first step in generating hypotheses regarding potential community-level causes of stigma and may lead to more effective community-level interventions. Methods: Spatial regression using generalized additive models and point pattern analyses using K-functions were used to assess the spatial scale(s) at which each form of HIV stigma clusters, and to assess whether the spatial clustering of each stigma indicator was present after adjustment for individual-level characteristics. Results: There was evidence that externalized stigma (blame) was geographically heterogeneous across the study area, even after controlling for individual-level factors (P = 0.01). In contrast, there was less evidence (P = 0.70) of spatial trend or clustering of internalized stigma (shame). Conclusion: Our results may point to differences in the underlying social processes motivating each form of HIV stigma. Externalized stigma may be driven more by cultural beliefs disseminated within communities, whereas internalized stigma may be the result of individual-level characteristics outside the domain of community influence. These data may inform community-level interventions to decrease HIV-related stigma, and thus impact the HIV epidemic. (C) 2014 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins
引用
收藏
页码:1665 / 1672
页数:8
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