Molina-Vega, MarIaAsenjo-Plaza, MaiteBanderas-Donaire, María JoséHernández-Ollero, María DoloresRodríguez-Moreno, SilviaÁlvarez-Millán, Juan JCabezas-Sanchez, PabloCardona-Díaz, FernandoAlcaide-Torres, JuanGarrido-Sánchez, LourdesCastellano-Castillo, DanielTinahones, Francisco JFernández-García, José C2023-02-082023-02-082020http://hdl.handle.net/10668/14623Erectile dysfunction (ED), a condition closely related to cardiovascular morbidity and mortality, is frequently associated with obesity. In this study, we aimed to determine the prevalence of ED and evaluate the associated risk factors in a cohort of 254 young (18-49 years) nondiabetic obese (body mass index [BMI] ≥ 30 kg m-2) men from primary care. Erectile function (International Index of Erectile Function [IIEF-5] questionnaire), quality of life (Aging Males' Symptoms [AMS scale]), and body composition analysis (Tanita MC-180MA) were determined. Total testosterone was determined using high-performance liquid chromatography-mass spectrometry. Multivariate logistic regression analysis was used to study the factors associated with ED. ED prevalence was 42.1%. Subjects with ED presented higher BMI, waist circumference, number of components of the metabolic syndrome, AMS score, insulin resistance, and a more unfavorable body composition than those without ED. Multivariate logistic regression analysis showed that a pathological AMS score (odds ratio [OR]: 4.238, P 40% of subjects. A pathological AMS score, the degree of obesity, and age were positively associated with ED, while elevated HDL-cholesterol levels were inversely associated with the odds of presenting ED. Further prospective studies are needed to evaluate the long-term consequences of ED in this population.enAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Aging Males' Symptoms scoreInternational Index of Erectile Function-5 questionnaireerectile dysfunctionobesitytestosteroneAdolescentAdultAge FactorsBody CompositionBody Mass IndexCholesterol, HDLErectile DysfunctionHumansInsulin ResistanceLogistic ModelsMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisObesityPrevalenceQuality of LifeRisk FactorsSeverity of Illness IndexTestosteroneWaist CircumferenceYoung Adultresearch article31603141open access10.4103/aja.aja_106_191745-7262PMC7406095https://doi.org/10.4103/aja.aja_106_19https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406095/pdf