Evidence map›Paper›PMID 33192082›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Erectile Dysfunction and Correlates Among Diabetic Men at Dessie Referral Hospital: North Central Ethiopia, 2020.

Shiferaw Abeway, Kefyalew Dagne, Tazeb Zegeye

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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9citing papers in PubMed, 2 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.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shiferaw AbewaySchool of Nursing and Midwifery, Department of Pediatric and Child Health Nursing, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID 0000-0001-6350-0676
Kefyalew DagneDepartment of Psychiatry, College of Health Sciences and Medicine, Debre Berhan University, Debre Berhan, Ethiopia.
Tazeb ZegeyeSchool of Medicine, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundErectile dysfunction is currently one of the most common sexual dysfunctions worldwide affecting the quality of life of men of all ages, but it is usually underestimated because it is not a life threatening condition. PURPOSE: This study aims to determine the prevalence of erectile dysfunction and the possible correlates among diabetic men in Dessie Referral Hospital, North Central Ethiopia.

methodsAn institution-based cross-sectional study was conducted among diabetic men aged greater than 18 years, at Dessie Referral Hospital. Systematic random sampling technique was used to select study participants. A pre-tested and structured questionnaire was used to collect the data. Data were entered in Epi Info version 7 and analyzed using SPSS version 21. Logistic regression was applied to identify association between explanatory variables and the outcome variable. An adjusted odds ratio with 95% confidence interval and p-value less than 0.05 was computed to determine the level of significance.

resultsOverall, the prevalence of erectile dysfunction (ED) in this study was 58.5% at 95% CI (0.548-0.622), and specifically 10.5%, 40.9%, 6.8% respondents had mild, moderate and severe erectile dysfunction, respectively. Age, duration of diabetes diagnosis, types of medication, types of complication and body mass index were significant unadjusted factors associated with erectile dysfunction, but following adjustment only age [AOR=5.5 (95% CI 2.06-14.744), duration of diabetes [AOR=20,(95% CI 5.663-75.0096) and types of medication [AOR=2.106 (95% CI 1.112-3.988) have independently statistically significant association with erectile dysfunction.

conclusionThis study showed that ED is high. Age, duration of diabetes mellitus and type of medication are independently associated with erectile dysfunction. Health policymakers need to consider including the training of health personnel to consider the relevant risk factors during the physical, social and psychological assessment of patients, and clinicians should pay attention to the sexual history of their client.

Indexed as

Dessiediabeteserectile dysfunction

Identifiers

PMID33192082
PMCPMC7654531

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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.