Evidence map›Paper›PMID 39627634›Full record

ArticleAIDS and behavior2025

Psychometric Validation of the East Africa Alcohol Expectancy Scale (AFEXS) for Youth Living with HIV in Southwestern Uganda.

Massy Mutumba, Rachel Brathwaite, Sylvia Nannono, Phionah Namatovu, Anita Kabarambi, Lindsey M Filiatreau, Fred M Ssewamala

Abstract readValidation Study
In one paragraph

Article in AIDS and behavior, 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Massy MutumbaDepartment of Health Behavior and Biological Sciences, University of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI, 48109-5482, USA. mmutumba@umich.edu.ORCID http://orcid.org/0000-0002-0636-891X
Rachel BrathwaiteInternational Center for Child Health and Development, Brown School, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Sylvia NannonoInternational Center for Child Health and Development, Masaka, Uganda.
Phionah NamatovuInternational Center for Child Health and Development, Masaka, Uganda.
Anita KabarambiInternational Center for Child Health and Development, Masaka, Uganda.
Lindsey M FiliatreauDepartment of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Fred M SsewamalaInternational Center for Child Health and Development, Brown School, Washington University in St. Louis, St. Louis, MO, 63130, USA.

Funding

Assessing the Feasibility of Economic Approaches to Prevention of Substance Abuse among AdolescentsR21AA030225 · NIAAA · WASHINGTON UNIVERSITY · PI BRATHWAITE, RACHEL, MUTUMBA, MASSY · 2022 to 2023
$395k
NIAAA NIH HHS 1R21AA030225-01NIAAA NIH HHS R21 AA030225
6 · The paper itself

Abstract

Reliable and valid assessment tools are crucial for measuring alcohol use expectancies (AUE) among youth living with HIV (YLHIV). In this paper, we assess the psychometric properties of the original 17-item East Africa Alcohol Expectancy Scale (AFEXS) among Ugandan YLHIV-a scale developed and validated by Woolf-King et al. for use among Uganda adults living with HIV. Specifically, we applied the measure to a sample of 100 Ugandan YLHIV enrolled in a substance use intervention. To analyze the psychometric properties, we conducted exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and convergent validity analyses. The resulting 15-item youth AFEXS scale differed from the 11-item adult version. The 15-item Youth AFEXS demonstrated high internal consistency (α = 0.85), aligning with theoretical expectations of a three-factor structure related to sexual expectancies (7 items; α = 0.89), negative expectancies (4 items; α = 0.72), and release of inhibition expectancies (4 items; α = 0.77). The global scale and sub-scales demonstrated satisfactory convergent validity through positive correlations measures of frequency of alcohol consumption in the past 12 months: global AFEXS (r = 0.617; p = 0.000), sexual expectancies (r = 0.583; p = 0.000), negative expectancies (r = 0.618; p = 0.000), and release expectancies (r = 0.596; p = 0.000). The study confirms the youth AFEXS as a reliable and valid tool for assessing AUE among Ugandan YLHIV.

Indexed as

Alcohol DrinkingHIV InfectionsPsychometricsAdolescentAdultFactor Analysis, StatisticalFemaleHumansMaleReproducibility of ResultsSexual BehaviorSurveys and QuestionnairesUgandaYoung AdultAlcohol use expectanciesEast AfricaHIV-positive youthMeasurement validationReliability

Identifiers

PMID39627634
PMCPMC13249043

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Registered trials

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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.