madman
Super Moderator
OBJECTIVE
Sociodemographic, lifestyle and medical variables influence total testosterone (T) and sex hormone-binding globulin (SHBG) concentrations. The relationship between these factors and “free” T remains unclear. We examined 21 sociodemographic, lifestyle and medical predictors influencing calculated free T (cFT) in community-dwelling men across ages.
METHODOLOGY
Individual participant data (IPD) were provided by nine population cohorts. Factors associated with cFT were analyzed using two-stage random effects IPD meta analyses. Covariates including age, body mass index (BMI), marital status, and education were incorporated across all models. Additionally, alcohol consumption,physical activity, and smoking were accounted for in models for lifestyle and medical variables.
STUDY DESIGN
Cross-sectional analysis: Androgens in Men study (AIMS) [1]- 20,631 participants- Total T by LC-MS/MS- SHBG by immunoassay- cFT using the Vermeulen formula [2]
RESULTS
CONCLUSION
Calculated free testosterone was most prominently associated with age and BMI. The linear, inverse association with age, non-linear association with BMI, and presence of diabetes, cancer and socio-demographic factors should be considered when using calculated free testosterone as a proxy for free testosterone.
Sociodemographic, lifestyle and medical variables influence total testosterone (T) and sex hormone-binding globulin (SHBG) concentrations. The relationship between these factors and “free” T remains unclear. We examined 21 sociodemographic, lifestyle and medical predictors influencing calculated free T (cFT) in community-dwelling men across ages.
METHODOLOGY
Individual participant data (IPD) were provided by nine population cohorts. Factors associated with cFT were analyzed using two-stage random effects IPD meta analyses. Covariates including age, body mass index (BMI), marital status, and education were incorporated across all models. Additionally, alcohol consumption,physical activity, and smoking were accounted for in models for lifestyle and medical variables.
STUDY DESIGN
Cross-sectional analysis: Androgens in Men study (AIMS) [1]- 20,631 participants- Total T by LC-MS/MS- SHBG by immunoassay- cFT using the Vermeulen formula [2]
RESULTS
CONCLUSION
Calculated free testosterone was most prominently associated with age and BMI. The linear, inverse association with age, non-linear association with BMI, and presence of diabetes, cancer and socio-demographic factors should be considered when using calculated free testosterone as a proxy for free testosterone.
