Evidence map›Paper›PMID 40857432›Full record

ArticleInternational journal of transgender health2025

Multilevel Syndemic Profiles Impacting Optimal ART Adherence among Trans Women Living with HIV in Mumbai and New Delhi, India: A Latent Class Analysis.

William Lodge, Shruta Rawat, Alpana Dange, Jatin Chaudary, Madina Agénor, Vivek R Anand, Don Operario, Matthew J Mimiaga, Katie B Biello

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Article in International journal of transgender health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

William LodgeJeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, USA.
Shruta RawatUniversity of Toronto India Foundation, Maharashtra, India.
Alpana DangeThe Humsafar Trust, Maharashtra, India.
Jatin ChaudaryThe Humsafar Trust, Maharashtra, India.
Madina AgénorDepartment of Behavioral and Social Health Sciences, Brown University School of Public Health.
Vivek R AnandThe Humsafar Trust, Maharashtra, India.
Don OperarioDepartment of Behavioral, Social, Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Matthew J MimiagaThe Fenway Institute, Boston, MA, USA.
Katie B BielloDepartment of Behavioral and Social Health Sciences, Brown University School of Public Health.

Funding

Co-occurring factors that heighten transgender women's vulnerability to suboptimal ART adherence in IndiaR36DA056284 · NIDA · BROWN UNIVERSITY · PI LODGE, WILLIAM · 2022 to 2023
$107k
NIDA NIH HHS R36 DA056284
6 · The paper itself

Abstract

Background: Antiretroviral therapy (ART) adherence is essential for maintaining viral suppression and reducing HIV transmission risk. However, data on adherence rates among trans women living with HIV in India are scarce, hindering effective intervention efforts. Understanding multilevel syndemic factors, including harmful drinking, depressive symptoms, HIV, and trans women-related stigma, and access to gender-affirmative care, is crucial for improving HIV treatment outcomes in this population. Methods: Trans women living with HIV (N=150) in Mumbai and New Delhi, India, completed a one-time self-reported assessment of sociodemographic and psychosocial factors and ART adherence and provided recent viral load test results in the ART booklet. Latent class analysis (LCA) identified multilevel syndemic classes. Then, in logistic regression models, we assessed the relationship between syndemic classes and optimal ART adherence (defined as 90% or higher adherence as prescribed). Results: Optimal ART adherence (defined as 90% or higher adherence to prescribed doses) was reported by 63% of participants. Among those with suboptimal adherence (n=93), common barriers included lack of medication while traveling, forgetting, and alcohol use. The LCA identified two syndemic classes: Class 1, characterized by unidimensional stigma and moderate multilevel syndemic barriers, and Class 2, characterized by intersectional stigma and high multilevel syndemic barriers. In the bivariate analysis, participants in Class 2 had significantly lower odds of optimal ART adherence [OR: 0.27 (95% CI: 0.11 - 0.61), p = 0.003]. After controlling for potential confounders (i.e., city, monthly income, stable housing, and history of sex work), participants in Class 2 still had significantly lower odds of optimal ART adherence [aOR: 0.26 (95% CI: 0.09 - 0.64), p = 0.009]. Conclusion: Findings highlight substantial disparities in ART adherence among trans women living with HIV in India, driven by intersectional stigma and multilevel syndemic barriers. Addressing these factors, particularly HIV and trans women-related stigma, is critical for improving ART adherence and HIV treatment outcomes in this population.

Indexed as

HIVIndiasyndemicstrans women/hijras

Identifiers

PMID40857432
PMCPMC12366720

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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.