Evidence map›Paper›PMID 42307583›Full record

ArticleGlobal health action2026

Young widowhood as a predictor of HIV risk behaviors in a high HIV prevalence setting in Siaya County, Kenya.

Jackline A Odhiambo, Louisa N Ndunyu, Erick O Nyambedha, Ushma D Upadhyay, Craig R Cohen, Sheri D Weiser, Daniel Kwaro, Moses Otieno, Vivienne Kamire, Elizabeth A Bukusi

Abstract read
In one paragraph

Article in Global health action, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jackline A OdhiamboSchool of Public Health and Community Development, Maseno University, Maseno, Kenya.ORCID 0000-0003-0028-9900
Louisa N NdunyuNyanam Widows Rising, Kisumu, Kenya.ORCID 0009-0004-9706-3979
Erick O NyambedhaDepartment of Sociology and Anthropology, Maseno University, Maseno, Kenya.ORCID 0000-0001-5750-4363
Ushma D UpadhyayDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2731-2157
Craig R CohenDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8654-6634
Sheri D WeiserDivision of HIV, Infectious Disease and Global Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7807-4072
Daniel KwaroCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-0929-8072
Moses OtienoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-9977-8220
Vivienne KamireCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-5558-8070
Elizabeth A BukusiDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2031-2808

Funding

University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
Sustainable Development for Improved HIV Health and Prevention in Kenya (SD4H-Kenya)D43TW011306 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUKUSI, ELIZABETH ANNE, COHEN, CRAIG R · 2020 to 2024
$1.9M
FIC NIH HHS D43 TW009343FIC NIH HHS D43 TW011306
6 · The paper itself

Abstract

backgroundWidowed women in sub-Saharan Africa bear a disproportionate burden of HIV/AIDS.

objectivesWe examined the likely period of HIV exposure among widows living with HIV and the patterns and predictors of widowed women's HIV risk behaviors.

methodsWe performed a cross-sectional survey with an age-stratified random sample of widowed women in Siaya County, Kenya. We estimated the period of HIV exposure and the prevalence of HIV-risk behaviors, and used Firth's penalized multivariable logistic regression to determine the association of socio-economic characteristics with HIV risk behaviors since widowhood.

resultsOf the 480 widowed women, 178 (37.1%) had HIV. Of the 168 widows with confirmed dates of HIV diagnosis, 51.2% and 36.9% may have been exposed 2 and 5 years after widowhood, respectively. At least one in two widows engaged in condomless sex since widowhood. Widowhood during reproductive age was associated with higher odds of culturally sanctioned sexual behaviours. Specifically, young widowhood (<30 years old) was associated with condomless sex (AOR: 64.5, 95%CI: 15.0-277.1), widow inheritance (AOR: 34.5, 95%CI: 9.0-133.0), sexual cleansing (AOR: 41.5, 95%CI: 10.1-171.0), sex with a 10-year‑older partner (AOR: 227.4, 95%CI: 12.0-4324.5), and sex with an inheritor who had a wife (AOR: 16.8, 95%CI: 2.8-100.8). Living with HIV was associated with condomless sex (AOR: 2.9, 95%CI: 1.5-5.5), widow inheritance (AOR: 3.4, 95%CI: 1.8-6.5) and sexual cleansing (AOR: 3.2, 95%CI: 1.7-6.2).

conclusionsOne in three widows living with HIV may have acquired the virus during widowhood. Young widowhood and living with HIV were associated with higher HIV risk behaviours. HIV testing, pre-exposure prophylaxis, and condom use in culturally sanctioned sexual practices should be studied further.

Indexed as

HIV InfectionsRisk-TakingWidowhoodAdolescentAdultAge FactorsCross-Sectional StudiesFemaleHumansKenyaMiddle AgedPrevalenceRisk FactorsSexual BehaviorSocioeconomic FactorsYoung Adultintergenerational sexmultiple sexual partnerssexual cleansingtransactional sexWidow inheritance

Identifiers

PMID42307583
PMCPMC13276819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.