Evidence map›Paper›PMID 38820433›Full record

ArticlePloS one2024

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey.

Denekew Tenaw Anley, Melkamu Aderajew Zemene, Asaye Alamneh Gebeyehu, Natnael Atnafu Gebeyehu, Getachew Asmare Adella, Gizachew Ambaw Kassie, Misganaw Asmamaw Mengstie, Mohammed Abdu Seid, Endeshaw Chekol Abebe, Molalegn Mesele Gesese and 12 more

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In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

22 authors.

Denekew Tenaw AnleyDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-5612-6943
Melkamu Aderajew ZemeneDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Asaye Alamneh GebeyehuDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Natnael Atnafu GebeyehuDepartment of Midwifery, College of Medicine and Health Science, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Getachew Asmare AdellaDepartment of Reproductive Health and Nutrition, School of Public Health, Woliata Sodo University, Woliata Sodo, Ethiopia.
Gizachew Ambaw KassieDepartment of Epidemiology and Biostatistics, School of Public Health, Woliata Sodo University, Woliata Sodo, Ethiopia.
Misganaw Asmamaw MengstieDepartment of Biochemistry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Mohammed Abdu SeidDepartment of Biomedical Science, Unit of Physiology, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Endeshaw Chekol AbebeDepartment of Biochemistry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Molalegn Mesele GeseseDepartment of Midwifery, College of Medicine and Health Science, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Yenealem SolomonDepartment of Medical Laboratory Science, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-2033-5663
Natnael MogesDepartment of Pediatrics and Child Health Nursing, College of Health sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Berihun BantieDepartment of Comprehensive Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Sefineh Fenta FelekeDepartment of Public Health, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Tadesse Asmamaw DejenieDepartment of Medical Biochemistry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Ermias Sisay ChanieDepartment of Pediatrics and Child Health Nursing, College of Health sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Wubet Alebachew BayihDepartment of Maternal and Neonatal Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Natnael Amare TesfaSchool of Medicine, College of Health Science, Woldia University, Woldia, Ethiopia.
Wubet TaklualDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Dessalegn TesfaDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Rahel Mulatie AntenehDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Anteneh Mengist DessieDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSexual behaviour needs to take a central position in the heart of public health policy makers and researchers. This is important in view of its association with Sexually Transmitted Infections (STIs), including HIV. Though the prevalence of HIV/AIDS is declining in Ethiopia, the country is still one of the hardest hit in the continent of Africa. Hence, this study was aimed at identifying hot spot areas and associated factors of risky sexual behavior (RSB). This would be vital for more targeted interventions which can produce a sexually healthy community in Ethiopia.

methodsIn this study, a cross-sectional survey study design was employed. A further analysis of the 2016 Ethiopia Demographic and Health Survey data was done on a total weighted sample of 10,518 women and men age 15-49 years. ArcGIS version 10.7 and Kuldorff's SaTScan version 9.6 software were used for spatial analysis. Global Moran's I statistic was employed to test the spatial autocorrelation, and Getis-Ord Gi* as well as Bernoulli-based purely spatial scan statistics were used to detect significant spatial clusters of RSB. Mixed effect multivariable logistic regression model was fitted to identify predictors and variables with a p-value ≤0.05 were considered as statistically significant.

resultThe study subjects who had RSB were found to account about 10.2% (95% CI: 9.64%, 10.81%) of the population, and spatial clustering of RSB was observed (Moran's I = 0.82, p-value = 0.001). Significant hot spot areas of RSB were observed in Gambela, Addis Ababa and Dire Dawa. The primary and secondary SaTScan clusters were detected in Addis Ababa (RR = 3.26, LLR = 111.59, P<0.01), and almost the entire Gambela (RR = 2.95, LLR = 56.45, P<0.01) respectively. Age, literacy level, smoking status, ever heard of HIV/AIDS, residence and region were found to be significant predictors of RSB.

conclusionIn this study, spatial clustering of risky sexual behaviour was observed in Ethiopia, and hot spot clusters were detected in Addis Ababa, Dire Dawa and Gambela regions. Therefore, interventions which can mitigate RSB should be designed and implemented in the identified hot spot areas of Ethiopia. Interventions targeting the identified factors could be helpful in controlling the problem.

Indexed as

Health SurveysRisk-TakingSexual BehaviorAdolescentAdultCross-Sectional StudiesEthiopiaFemaleHIV InfectionsHumansMaleMiddle AgedRisk FactorsSexually Transmitted DiseasesSpatial AnalysisYoung Adult

Identifiers

PMID38820433
PMCPMC11142568

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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.