Evidence map›Paper›PMID 40009612›Full record

ArticlePLOS global public health2025

Using health belief model to assess the determinants of HIV/AIDS prevention behavior among university students in Central, Tanzania: A cross-sectional study.

Saidi J Seif, Erick Donard Oguma, Angelina A Joho

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Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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6citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

3 authors.

Saidi J SeifDepartment of Clinical Nursing, School of Nursing and Public Health, University of Dodoma, Dodoma, Tanzania.
Erick Donard OgumaDepartment of Clinical Nursing, School of Nursing and Public Health, University of Dodoma, Dodoma, Tanzania.ORCID https://orcid.org/0009-0004-4982-9108
Angelina A JohoDepartment of Clinical Nursing, School of Nursing and Public Health, University of Dodoma, Dodoma, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adolescent and youth population is at high risk of contracting HIV infection. Little is known in Tanzania regarding the application of Health Belief Model (HBM) in identifying the factors that influence HIV prevention behaviors within this group. This study aims to use the Health Belief Model to assess the determinants of HIV/AIDS prevention behavior among University students in central Tanzania. The analytical cross-sectional study design was conducted among undergraduate students at the University of Dodoma and St. John University in Tanzania, from 15th June 2024 to 15th July 2024. The multiple sampling techniques were employed to select 310 study participants. A structured questionnaire adapted from previous studies was used to collect data from study participants. The determinants of HIV/AIDS prevention behaviors were analyzed using bivariable and multivariable binary logistic regression models. The majority of study respondents 248 (80%) had adequate knowledge of HIV/AIDS prevention behaviors. Most of respondents had high perceived barrier 175 (56.5%) and high perceived benefit 194 (62.6%) toward HIV prevention behavior. More than half of the study respondents had negative attitude 172 (55.5%) and low level of engagement in HIV/AIDS prevention behavior 173 (55.8%). The University students with high perceived barriers (aOR = 0.58, 95% CI: 0.350-0.966; p = 0.036) and negative attitudes (aOR = 0.60, 95% CI: 0.362-0.995; p = 0.048) were less likely to engage in HIV/AIDS prevention behavior practice. This study revealed that more than half of university students were poorly engaged in HIV/AIDS prevention behavior practice. This low level of engagement was mostly influenced by high perceived barriers and negative attitudes toward HIV prevention behavior. Putting more efforts into initiatives to educate university students about HIV prevention practices, will help to maximize their awareness and encourage them to participate in HIV/AIDS prevention behavior.

Identifiers

PMID40009612
PMCPMC11864508

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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.