Longitudinal Associations Between Neighborhood Factors and HIV Care Outcomes in the WIHS

Identifying structural determinants affecting HIV outcomes is important for informing interventions across heterogeneous geographies. Longitudinal hierarchical generalized mixed-effects models were used to quantify the associations between changes in certain structural-level factors on HIV care enga...

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Published inAIDS and behavior Vol. 24; no. 10; pp. 2811 - 2818
Main Authors Chandran, Aruna, Edmonds, Andrew, Benning, Lorie, Wentz, Eryka, Adedimeji, Adebola, Wilson, Tracey E., Blair-Spence, Amanda, Palar, Kartika, Cohen, Mardge, Adimora, Adaora
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2020
Springer Nature B.V
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Abstract Identifying structural determinants affecting HIV outcomes is important for informing interventions across heterogeneous geographies. Longitudinal hierarchical generalized mixed-effects models were used to quantify the associations between changes in certain structural-level factors on HIV care engagement, medication adherence, and viral suppression. Among women living with HIV in the WIHS, ten-unit increases in census-tract level proportions of unemployment, poverty, and lack of car ownership were inversely associated with viral suppression and medication adherence, while educational attainment and owner-occupied housing were positively associated with both outcomes. Notably, increased residential stability (aOR 5.68, 95% CI 2.93, 9.04) was positively associated with HIV care engagement, as were unemployment (aOR: 1.59, 95% CI 1.57, 1.60), lack of car ownership (aOR 1.14, 95% CI 1.13, 1.15), and female-headed households (aOR 1.23, 95% CI 1.22, 1.23). This underscores the importance of understanding neighborhood context, including factors that may not always be considered influential, in achieving optimal HIV-related outcomes.
AbstractList Identifying structural determinants affecting HIV outcomes is important for informing interventions across heterogeneous geographies. Longitudinal hierarchical generalized mixed-effects models were used to quantify the associations between changes in certain structural-level factors on HIV care engagement, medication adherence, and viral suppression. Among women living with HIV in the WIHS, ten-unit increases in census-tract level proportions of unemployment, poverty, and lack of car ownership were inversely associated with viral suppression and medication adherence, while educational attainment and owner-occupied housing were positively associated with both outcomes. Notably, increased residential stability (aOR 5.68, 95% CI 2.93, 9.04) was positively associated with HIV care engagement, as were unemployment (aOR: 1.59, 95% CI 1.57, 1.60), lack of car ownership (aOR 1.14, 95% CI 1.13, 1.15), and female-headed households (aOR 1.23, 95% CI 1.22, 1.23). This underscores the importance of understanding neighborhood context, including factors that may not always be considered influential, in achieving optimal HIV-related outcomes.
Identifying structural determinants affecting HIV outcomes is important for informing interventions across heterogeneous geographies. Longitudinal hierarchical generalized mixed-effects models were used to quantify the associations between changes in certain structural-level factors on HIV care engagement, medication adherence, and viral suppression. Among women living with HIV in the WIHS, ten-unit increases in census-tract level proportions of unemployment, poverty, and lack of car ownership were inversely associated with viral suppression and medication adherence, while educational attainment and owner-occupied housing were positively associated with both outcomes. Notably, increased residential stability (aOR 5.68, 95% CI 2.93, 9.04) was positively associated with HIV care engagement, as were unemployment (aOR: 1.59, 95% CI 1.57, 1.60), lack of car ownership (aOR 1.14, 95% CI 1.13, 1.15), and female-headed households (aOR 1.23, 95% CI 1.22, 1.23). This underscores the importance of understanding neighborhood context, including factors that may not always be considered influential, in achieving optimal HIV-related outcomes.Identifying structural determinants affecting HIV outcomes is important for informing interventions across heterogeneous geographies. Longitudinal hierarchical generalized mixed-effects models were used to quantify the associations between changes in certain structural-level factors on HIV care engagement, medication adherence, and viral suppression. Among women living with HIV in the WIHS, ten-unit increases in census-tract level proportions of unemployment, poverty, and lack of car ownership were inversely associated with viral suppression and medication adherence, while educational attainment and owner-occupied housing were positively associated with both outcomes. Notably, increased residential stability (aOR 5.68, 95% CI 2.93, 9.04) was positively associated with HIV care engagement, as were unemployment (aOR: 1.59, 95% CI 1.57, 1.60), lack of car ownership (aOR 1.14, 95% CI 1.13, 1.15), and female-headed households (aOR 1.23, 95% CI 1.22, 1.23). This underscores the importance of understanding neighborhood context, including factors that may not always be considered influential, in achieving optimal HIV-related outcomes.
Author Edmonds, Andrew
Benning, Lorie
Wentz, Eryka
Adimora, Adaora
Adedimeji, Adebola
Wilson, Tracey E.
Palar, Kartika
Chandran, Aruna
Cohen, Mardge
Blair-Spence, Amanda
AuthorAffiliation 2 Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
3 Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
4 Department of Community Health Sciences, State University of New York, Downstate Health Sciences University, School of Public Health, Brooklyn, NY, USA
5 Department of Medicine, Division of Infectious Disease and Travel Medicine, Georgetown University, Washington, DC, USA
6 Division of HIV, Infectious Disease and Global Medicine, School of Medicine, University of California, San Francisco, CA, USA
1 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
7 Cook County Health and Hospital System, Chicago, IL, USA
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crossref_primary_10_1007_s10461_020_02830_4
springer_journals_10_1007_s10461_020_02830_4
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20201000
2020-10-00
2020-Oct
20201001
PublicationDateYYYYMMDD 2020-10-01
PublicationDate_xml – month: 10
  year: 2020
  text: 20201000
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
– name: United States
PublicationTitle AIDS and behavior
PublicationTitleAbbrev AIDS Behav
PublicationTitleAlternate AIDS Behav
PublicationYear 2020
Publisher Springer US
Springer Nature B.V
Publisher_xml – name: Springer US
– name: Springer Nature B.V
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SSID ssj0009679
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Snippet Identifying structural determinants affecting HIV outcomes is important for informing interventions across heterogeneous geographies. Longitudinal hierarchical...
SourceID pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 2811
SubjectTerms Adult
Anti-Retroviral Agents - therapeutic use
Drugs
Educational attainment
Female
Female headed households
Health Psychology
HIV
HIV Infections - drug therapy
HIV Infections - psychology
Households
Housing
Human immunodeficiency virus
Humans
Infectious Diseases
Longitudinal Studies
Male
Medication Adherence
Medicine
Medicine & Public Health
Middle Aged
Neighborhoods
Original Paper
Ownership
Patient compliance
Poverty
Public Health
Residence Characteristics - statistics & numerical data
Social Determinants of Health
Socioeconomic Factors
Treatment Outcome
Unemployment
Viral Load
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Title Longitudinal Associations Between Neighborhood Factors and HIV Care Outcomes in the WIHS
URI https://link.springer.com/article/10.1007/s10461-020-02830-4
https://www.ncbi.nlm.nih.gov/pubmed/32170507
https://www.proquest.com/docview/2439498874
https://www.proquest.com/docview/2377343616
https://pubmed.ncbi.nlm.nih.gov/PMC7483905
Volume 24
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