Evidence map›Paper›PMID 38961921›Full record

ArticleHeliyon2024

Predictors of HIV/AIDS preventive behavior among undergraduate health science university students in Northwest Ethiopia, 2022. Institution-based cross-sectional study.

Adane Birhanu Nigat, Moges Wubneh Abate, Agimasie Tigabu Demelash, Berihun Bantie, Nigusie Selomon Tibebu, Chalie Marew Tiruneh, Tigabu Desie Emiru, Mehd Abdu Yimam, Getasew Legas, Yohannes Shumet Yimer

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Adane Birhanu NigatDepartment of Adult Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Moges Wubneh AbateDepartment of Adult Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Agimasie Tigabu DemelashDepartment of Adult Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Berihun BantieDepartment of Adult Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Nigusie Selomon TibebuDepartment of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Chalie Marew TirunehDepartment of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Tigabu Desie EmiruDepartment of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Mehd Abdu YimamDepartment of Nursing, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Teferi, Ethiopia.
Getasew LegasDepartment of Psychiatry, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Yohannes Shumet YimerDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Human immunodeficiency virus (HIV) infection is a major global public health issue, affecting millions of people annually. University students are among the risk groups in the community because of their high-risk behaviors. Few studies have been conducted on HIV/AIDS preventive behaviors and associated factors among university students. Therefore, focusing on these target populations is crucial because it will help university managers and different stakeholders be informed about the burden of the problem and take different measures to halt the distribution of the infection. Objective: To assess the predictors of HIV/AIDS preventive behaviors among undergraduate Health Science University students in Northwest Ethiopia in 2022. Methods: This study used an institution-based cross-sectional design with a single-population proportion formula, and participants were selected using a simple random sampling technique. Data were entered into Epi Data version 4.6.0.2 and exported to SPSS version 26 for cleaning and analysis, and the results were presented using text, graphs, pie charts, percentages, and frequencies. Bivariate and multivariable logistic regression analyses were used, and variables with a p-value of ≤0.25 in the bivariate analysis were entered into the multivariable analysis. A p-value of less than or equal to 0.05 in the multivariable analysis was considered statistically significant. Result: Out of 287 study participants, 284 of them responded completely, with a response rate of 99.0 %. Among the total respondents, 42.3 % (95 % CI: 37.7, 47.8) of the participants had poor HIV/AIDS preventive behavior. Younger age (AOR: 3.05; 95 % CI (1.243, 7.496)), low perceived susceptibility (AOR: 2.12; 95 % CI (1.179, 3.809), low perceived severity (AOR: 3.00; 95 % CI (1.636, 5.509)), high perceived barriers (AOR: 2.78; 95 % CI (1.487, 5.202)), and having poor HIV/AIDS preventive knowledge (AOR: 3.87; 95 % CI (2.170, 6.919)) were significantly associated with poor HIV/AIDS preventive behaviors. Conclusion: The HIV/AIDS preventive behavior of participants in this study was poor. Young age, low perceived susceptibility, low perceived severity, high perceived barriers, and poor HIV/AIDS preventive knowledge were predictors of poor HIV/AIDS preventive behavior. It is better to design strategies and programs by the Ministry of Health, the Ministry of Education, university top managers, and other stakeholders to provide appropriate information and focus on behavioral changes in vulnerable population groups.

Indexed as

HIV/AIDSPreventive behaviorUniversity students

Identifiers

PMID38961921
PMCPMC11219343

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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.