Cross-sectional and longitudinal determinants of serum sex hormone binding globulin (SHBG) in a cohort of community-dwelling men

被引:23
作者
Gyawali, Prabin [1 ,2 ,3 ]
Martin, Sean A. [1 ,2 ,3 ]
Heilbronn, Leonie K. [1 ,3 ]
Vincent, Andrew D. [1 ,2 ]
Jenkins, Alicia J. [4 ]
Januszewski, Andrzej S. [4 ]
Taylor, Anne W. [3 ,5 ]
Adams, Robert J. T. [3 ,6 ]
O'Loughlin, Peter D. [7 ]
Wittert, Gary A. [1 ,2 ,3 ]
机构
[1] Univ Adelaide, Sch Med, Adelaide, SA, Australia
[2] Univ Adelaide, Freemasons Fdn Ctr Mens Hlth, Adelaide, SA, Australia
[3] SAHMRI, Adelaide, SA, Australia
[4] Univ Sydney, NHMRC Clin Trials Ctr, Camperdown, NSW, Australia
[5] Univ Adelaide, Populat Res & Outcomes Studies, Adelaide, SA, Australia
[6] Univ Adelaide, Queen Elizabeth Hosp, Hlth Observ, Woodville, SA, Australia
[7] SA Pathol, Chem Pathol, Adelaide, SA, Australia
来源
PLOS ONE | 2018年 / 13卷 / 07期
基金
英国医学研究理事会;
关键词
STEROID-HORMONES; BODY-COMPOSITION; US MEN; YOUNG MEN; INSULIN-RESISTANCE; CLINICAL MEDICINE; THYROID-HORMONES; RISK-FACTORS; OLDER MEN; TESTOSTERONE;
D O I
10.1371/journal.pone.0200078
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Despite its widespread clinical use, there is little data available from population-based studies on the determinants of serum sex hormone binding globulin (SHBG). We aimed to examine multifactorial determinants of circulating SHBG levels in community-dwelling men. Study participants comprised randomly selected 35-80 y.o. men (n = 2563) prospectively-followed for 5 years (n = 2038) in the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study. After excluding men with illness or medications known to affect SHBG (n = 172), data from 1786 men were available at baseline, and 1476 at follow-up. The relationship between baseline body composition (DXA), serum glucose, insulin, triglycerides, thyroxine (fT4), sex steroids (total testosterone (TT), oestradiol (E2)), and pro-inflammatory cytokines and serum SHBG level at both baseline & follow-up was determined by linear and penalized logistic regression models adjusting for age, lifestyle & demographic, body composition, metabolic, and hormonal factors. Restricted cubic spline analyses was also conducted to capture possible non-linear relationships. At baseline there were positive cross-sectional associations between age (beta = 0.409, p<0.001), TT (beta = 0.560, p<0.001), fT4 (beta = 0.067, p = 0.019) and SHBG, and negative associations between triglycerides (beta = -0.112, p<0.001), abdominal fat mass (beta = -0.068, p = 0.032) and E2 (beta = -0.058, p = 0.050) and SHBG. In longitudinal analysis the positive determinants of SHBG at 4.9 years were age (beta = 0.406, p = <0.001), TT (beta = 0.461, p = < 0.001), and fT4 (beta = 0.040, p = 0.034) and negative determinants were triglycerides (beta = -0.065, p = 0.027) and abdominal fat mass (beta = -0.078, p = 0.032). Taken together these data suggest low SHBG is a marker of abdominal obesity and increased serum triglycerides, conditions which are known to have been associated with low testosterone and low T4.
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页数:15
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