J Grant Mouser1, Paul D Loprinzi2, Jeremy P Loenneke3. 1. Department of Health, Exercise Science and Recreation Management, Kevser Ermin Applied Physiology Laboratory, The University of Mississippi, University, MS, United States. 2. Department of Health, Exercise Science and Recreation Management, Center for Health Behavior Research, The University of Mississippi, University, MS, United States. 3. Department of Health, Exercise Science and Recreation Management, Kevser Ermin Applied Physiology Laboratory, The University of Mississippi, University, MS, United States. Electronic address: jploenne@olemiss.edu.
Abstract
Testosterone deficiency leads to increased muscle loss with aging and increased fat mass. Supraphysiologic levels cause an increase in muscle mass and decrease in fat mass. The difference in lean and fat mass across physiologic levels of testosterone has been under examined in men. OBJECTIVE: Examine the association between physiologic testosterone levels with lean and fat mass. METHODS: Data from the 1999-2000 NHANES were used (n=252 men; 18-85yrs). Testosterone and SHBG values were obtained by a morning blood sample. Body composition was measured by DXA. Multivariable linear regression was used to compute unadjusted, minimally adjusted, and extended models of relative upper- and lower-body lean and fat mass. RESULTS: In the extended model, men with total testosterone levels in the highest 25% (4th quartile) had more lower-body lean mass (LBLM) (β=22.1(%), 95%CI: 9.0, 35.3, p=0.003) and upper-body lean mass (UBLM) (β=5.6(%), 95%CI: 0.1, 11.2, p=0.046), and less lower-body fat mass (LBFM) (β=-9.9(%), 95%CI: -17.7, -2.1, p=0.016) and upper-body fat mass (UBFM) (β=-6.1(%), 95%CI: -10.1, -2.1, p=0.005) than those in the 1st quartile. Men in the 3rd quartile had more LBLM (β=14.2, 95%CI: 5.3, 23.1, p=0.004), UBLM (β=5.6, 95%CI: 2.0, 9.2, p=0.004), and less LBFM (β=-9.7(%), 95%CI: -16.7, -2.7, p=0.010) and UBFM (β=-4.7(%), 95%CI: -8.3, -1.2, p=0.012) than those in the 1st quartile. CONCLUSION: These findings suggest that, at physiologic levels, an association exists between higher levels of testosterone and favorable lean and fat measures.
Testosterone deficiency leads to increased muscle loss with aging and increased fat mass. Supraphysiologic levels cause an increase in muscle mass and decrease in fat mass. The difference in lean and fat mass across physiologic levels of testosterone has been under examined in men. OBJECTIVE: Examine the association between physiologic testosterone levels with lean and fat mass. METHODS: Data from the 1999-2000 NHANES were used (n=252 men; 18-85yrs). Testosterone and SHBG values were obtained by a morning blood sample. Body composition was measured by DXA. Multivariable linear regression was used to compute unadjusted, minimally adjusted, and extended models of relative upper- and lower-body lean and fat mass. RESULTS: In the extended model, men with total testosterone levels in the highest 25% (4th quartile) had more lower-body lean mass (LBLM) (β=22.1(%), 95%CI: 9.0, 35.3, p=0.003) and upper-body lean mass (UBLM) (β=5.6(%), 95%CI: 0.1, 11.2, p=0.046), and less lower-body fat mass (LBFM) (β=-9.9(%), 95%CI: -17.7, -2.1, p=0.016) and upper-body fat mass (UBFM) (β=-6.1(%), 95%CI: -10.1, -2.1, p=0.005) than those in the 1st quartile. Men in the 3rd quartile had more LBLM (β=14.2, 95%CI: 5.3, 23.1, p=0.004), UBLM (β=5.6, 95%CI: 2.0, 9.2, p=0.004), and less LBFM (β=-9.7(%), 95%CI: -16.7, -2.7, p=0.010) and UBFM (β=-4.7(%), 95%CI: -8.3, -1.2, p=0.012) than those in the 1st quartile. CONCLUSION: These findings suggest that, at physiologic levels, an association exists between higher levels of testosterone and favorable lean and fat measures.
Authors: Dusti A Shay; Rebecca J Welly; Scott A Givan; Nathan Bivens; Jill Kanaley; Brittney L Marshall; Dennis B Lubahn; Cheryl S Rosenfeld; Victoria J Vieira-Potter Journal: Horm Behav Date: 2020-02-29 Impact factor: 3.587
Authors: Ryan Janjuha; Diane Bunn; Richard Hayhoe; Lee Hooper; Asmaa Abdelhamid; Shaan Mahmood; Joseph Hayden-Case; Will Appleyard; Sophie Morris; Ailsa Welch Journal: Nutrients Date: 2020-05-18 Impact factor: 5.717