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Magnitude of erectile dysfunction and associated factors among adult diabetic men on follow-up at Goba and Robe hospitals, Bale Zone, South East Ethiopia: hospital-based cross-sectional study

PURPOSE: Erectile dysfunction is defined as the inability to achieve and/or maintain an erection of sufficient rigidity and duration to permit satisfactory sexual performance. The purpose of this study is to assess the prevalence of erectile dysfunction and associated factors among adult diabetic me...

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Detalles Bibliográficos
Autores principales: Mesfin, Telila, Tekalegn, Yohannes, Adem, Ahmednur, Seyoum, Kenbon, Geta, Girma, Sahiledengle, Biniyam, Mesfin, Eshetu, Zenbaba, Demisu, Desta, Fikreab, Beressa, Girma, Tsegaye, Mesfin, Ejigu, Neway, Gomora, Degefa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601257/
https://www.ncbi.nlm.nih.gov/pubmed/37880632
http://dx.doi.org/10.1186/s12902-023-01489-x
Descripción
Sumario:PURPOSE: Erectile dysfunction is defined as the inability to achieve and/or maintain an erection of sufficient rigidity and duration to permit satisfactory sexual performance. The purpose of this study is to assess the prevalence of erectile dysfunction and associated factors among adult diabetic men on follow-up at Goba and Robe hospitals, Bale Zone, South East Ethiopia,2022. METHODS: Hospital-based cross-sectional study design was used among 420 adult diabetic men from March 1 to April 30 using a systematic random sampling technique. An international index of erectile function questionnaire containing five questions was used to assess the outcome variable. The data were entered, edited, and coded using Epidata version 4.6 and analyzed using SPSS version 26. Bivariable and multivariable binary logistic regression analysis were performed to identify factors associated with erectile dysfunction. Adjusted odds ratios with their corresponding 95% confidence interval were computed to estimate the strength of association. Statistical significance was declared at p-value < 0.05. RESULTS: The prevalence of erectile dysfunction was found to be 354 (84.3%). Multivariable logistic regression revealed that erectile dysfunction is significantly associated with old age (AOR = 12.39, 95% CI:5.10–30.08), inadequate physical activity (AOR = 4.15, 95% CI:1.33–12.97), and being rich (AOR = 2.62, 95% CI = 1.21–5.66). CONCLUSION: The prevalence of erectile dysfunction in this study population is nearly nine out of ten. Age, inadequate physical activity, and wealth index were independent predictors of erectile dysfunction. Assessment and management of erectile dysfunction in diabetic clinics should be routine medical care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-023-01489-x.