Correlates of low testosterone and symptomatic androgen deficiency in a population-based sample

Abstract

Context: Risk factors for low testosterone and symptomatic androgen deficiency (AD) may be modifiable.

Objective: Our objective was to examine demographic, anthropometric, and medical correlates of low testosterone and symptomatic AD.

Design: Data were used from the Boston Area Community Health Survey, an epidemiological study conducted from 2002-2005.

Setting: Data were obtained from a community-based random sample of racially and ethnically diverse men.

Patients or other participants: Data were available for 1822 men.

Main outcome measures: Multivariate logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations of covariates with 1) low testosterone and 2) symptomatic AD. The operational definition of low testosterone was serum total testosterone less than 300 ng/dl and free testosterone less than 5 ng/dl; symptomatic AD was defined as the additional presence of symptoms: any of low libido, erectile dysfunction, or osteoporosis or two or more of sleep disturbance, depressed mood, lethargy, or diminished physical performance.

Results: Factors associated with low testosterone included age (OR = 1.36; 95% CI= 1.11-1.66, per decade), low per-capita income ($6000 or less per household member vs. more than $30,000; OR = 2.86; 95% CI = 1.39-5.87), and waist circumference (per 10-cm increase; OR = 1.75; 95% CI = 1.45-2.12). Only age (OR = 1.36; 95% CI = 1.04-1.77), waist circumference (OR = 1.88; 95% CI = 1.44-2.47), and health status (OR = 0.21; 95% CI = 0.05-0.92, excellent vs. fair/poor) were associated with our construct of symptomatic AD. Of all variables, waist circumference was the most important contributor in both models.

Conclusions: Waist circumference is a potentially modifiable risk factor for low testosterone and symptomatic AD. Manifestation of symptoms may be a consequence of generally poor health status.

Figure 1

Information provided by variables in multivariate models for low total and free testosterone. The model containing all the relevant variables from submodels accounted for a total of 18.4% of information compared with a theoretical model containing all possible predictors (as measured by the deviance R²). The proportionate contribution of covariate groups are depicted at the right. Covariate groups were added one at a time (from highest contributor to lowest). Of the contributing groups, the body composition group containing the variable for waist circumference was by far the most important.

Figure 2

Information provided by variables in multivariate models for symptomatic AD. The model containing all the relevant variables from submodels accounted for a total of 25.0% of information compared with a theoretical model containing all possible predictors (as measured by the deviance R²).The proportionate contribution of covariate groups are depicted at the right. Covariate groups were added one at a time (from highest contributor to lowest). Of the contributing groups, the body composition group containing the variable for waist circumference was once again the most important.