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The relationship between erectile dysfunction and osteoporosis: a population-based study in Southern China
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  • Lili You,
  • Feng Li,
  • Wanting Feng,
  • Xiaoyi Wang,
  • Meng Ren,
  • Muchao Wu,
  • Jin Zhang,
  • Chuan Wang,
  • Juying Tang,
  • Xiaoyun Zhang,
  • Li Yan,
  • Mingtong Xu
Lili You
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Feng Li
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Wanting Feng
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Xiaoyi Wang
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Meng Ren
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Muchao Wu
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Jin Zhang
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Chuan Wang
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Juying Tang
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Xiaoyun Zhang
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Li Yan
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Mingtong Xu
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Abstract

Aim: To investigate the association of erectile dysfunction (ED) and osteoporosis in all-aged (18-87 years) males, and by comparing models with or without ED, explore the ability of ED to assess the prevalence of osteoporosis. Methods: We performed a cross-sectional study in Southern China based on the community population from March to July 2015 and 998 eligible individuals ages form 18 to 87 years were included. The diagnosis of ED was based on self-reporting and osteoporosis was defined as a bone mineral density (BMD) of 2.5 standard deviations or below (T score ≤−2.5). Odds ratios (OR) and 95% confidence intervals (95%CI) were calculated in logistic regression model. Lasso regression model was used for feature selection. Receiver operating characteristics (ROC) curve analysis was used to evaluate the ability of the different models to assess the prevalence of osteoporosis. Results: The prevalence of osteoporosis was 1.70-fold higher in the ED group compared with the non-ED group (OR: 1.70, 95%CI: 0.99-2.87, P=0.051) after adjustment in total population. AUC in model with biochemical indices including low density lipoprotein cholesterol (LDL-C) and fasting plasma glucose (FPG), further plus ED was 0.73 (95% CI: 0.68-0.79), which was significantly higher than model only with non-invasive basic clinical parameters (AUC: 0.70, 95% CI: 0.65-0.80). Model included only biochemical indices evaluated the AUC from 0.70 to 0.72 (P=0.050), and further plus ED can significantly evaluated the ability of diagnosis osteoporosis (P=0.017). Conclusions: We found that patients with ED had an increased risk of osteoporosis among the all-age (18-87 years) male population, and the diagnosis ability for osteoporosis significantly evaluated when plus ED. For assessing osteoporosis in male population, the information about ED should be collected.