Introduction: Various studies report increased risk of erectile dysfunction (ED) in men with cardiovascular (CV) disease and postulate an intimate nexus between the two conditions.
Aim: To examine the association of ED with CV risk factors and disease in a population-based cross-sectional observational study conducted in Western Australia (WA). Method. Postal questionnaires were sent to randomly selected age-stratified male population samples obtained from the WA Electoral Roll.
Main Outcome Measures: In addition to items covering sociodemographic and self-reported clinical information, the 5-item International Index of Erectile Function (IIEF-5) was used.
Results: Of the 1,580 participants, the ages of 1,514 were known and ranged from 20 to 99 years (mean 57.9, median 59.1, standard deviation 18.5). CV risk factors and disease were more prevalent with increasing age and among participants with ED and severe ED. The age-adjusted odds of ED were significantly higher among participants with hypertension (odds ratio [OR] 1.47; 95% confidence intervals [CI] 1.05, 2.07), ischemic heart disease (OR 1.80; 95% CI 1.10, 2.94), and stroke (OR 3.30; 95% CI 1.22, 8.88), and with these conditions and peripheral arterial disease grouped together as CV disease (OR 1.85; 95% CI 1.34, 2.56). Many participants with hyperlipidemia were receiving treatment, and the age-adjusted odds for ED were not significantly higher. The age-adjusted odds of ED among participants with diabetes mellitus were 2.76 (95% CI 1.52, 5.00), and were 3.21 (95% CI 1.03, 10.05) when hypertension and hyperlipidemia were also present.
Conclusions: The findings support the postulated intimate nexus between ED and CV disease. The adverse effects of age and CV risk factors and disease on erectile function compound each other. The socioeconomic, epidemiologic, and clinical implications are immense.
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This study examined the interplay between physical workload, psychological stress, and the prevalence of work-related musculoskeletal disorders (WMSDs) among construction workers in Indonesia. This cross-sectional study used a purposive sampling technique to gather quantitative data from 409 respondents working in four construction companies through structured questionnaires. Data collection tools included the Copenhagen Psychosocial Questionnaire III (COPSOQ III), the K10 scale for psychosocial distress, and the Nordic Body Map for musculoskeletal symptoms.
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