ArticleScientific reports2026
Gender disparities in comprehensive knowledge of HIV among adolescents and young adults in Ethiopia: A decomposition analysis.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Female adolescents and young adults (AYAs) aged 15-24 bear up to a threefold higher burden of HIV and face nearly twice the susceptibility to infection compared with males of the same age group. A comprehensive knowledge of HIV is critical for effective prevention of the virus. However, substantial gender disparities persist in HIV knowledge. This study assessed male and female differences in comprehensive HIV knowledge among AYAs in Ethiopia and identify key drivers of these disparities. This study used a cross-sectional design with secondary data analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS). Male and female AYAs aged 15 to 24 were included in the study. Comprehensive HIV knowledge was the outcome variable. Explanatory variables included age, educational attainment, marital status, occupation, household wealth, media exposure, and region of residence. Sample weighting was applied. Descriptive statistics and multivariate decomposition analysis were conducted to assess gender disparities. The decomposition model separated differences into explained (endowments) and unexplained (coefficient effects) components. A total of 10,597 AYAs (6,143 females and 4,455 males) were included in the analysis. Only 30.5% (95% CI: 29.6, 31.4) of AYAs demonstrated comprehensive HIV knowledge, with markedly higher levels among male AYAs (39.1%) compared with female AYAs (24.33%). Urban residents had higher HIV knowledge than their rural counterparts, males (52.3%) and females (58.3%). Education and occupation were significant contributors to the knowledge difference between males and females, with individuals who had higher education or were employed showing better HIV knowledge. Internet use and media exposure also played a crucial role, with those exposed demonstrating significantly higher HIV knowledge. Gender disparities in HIV knowledge were primarily driven by education, occupation, and region. There are significant gender disparities in HIV knowledge among AYAs in Ethiopia, with males generally exhibiting higher levels of knowledge than females. The findings highlight the need for targeted HIV education programs that address these gender gaps, particularly for young women, who are more vulnerable to HIV infection. Socioeconomic factors, including education, residence, and media exposure, play a crucial role in shaping HIV knowledge. Efforts to enhance HIV knowledge through gender-sensitive interventions are crucial for improving prevention efforts and ultimately reducing HIV incidence in Ethiopia and similar contexts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.