Summary
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.
Keywords: erectile dysfunction, osteoporosis, older male
population, obesity population, non-diabetes population, diagnosis
ability of model