期刊
CLINICAL ENDOCRINOLOGY
卷 83, 期 2, 页码 236-245出版社
WILEY
DOI: 10.1111/cen.12722
关键词
-
资金
- Samsung Biomedical Research Institute [GL1B32111]
- Korea Health Industry Development Institute (KHIDI) [HI14C0064]
ObjectivesThis study aimed to evaluate an association between testosterone, sex hormone-binding globulin and body composition as well as the influence of genetic and environmental factors on the association. DesignA cross-sectional study. SettingCommunity-based study. ParticipantsOne thousand and eighty-three Korean men including 144 pairs of monozygotic twins. Main Outcome MeasureLevels of serum total testosterone (TT) and sex hormone-binding globulin (SHBG) were measured by chemiluminescence immunoassay, and free testosterone (cFT) was calculated using Vermeulen's method. Detailed body composition was measured using dual-energy X-ray absorptiometry. We performed linear mixed regression analysis with consideration of familial correlations and covariates. ResultsEach 1-SD increase in age-adjusted levels of TT, cFT and SHBG was associated with lower levels of adiposity measures and absolute measures of lean body mass. On the other hand, percentage total lean mass increased with increasing levels of TT, cFT and SHBG (P<005). Bivariate variance-component analyses revealed that most body composition measures had a significant inverse unique environmental correlation with both TT and SHBG, and a significant genetic correlation with TT. A co-twin control study in monozygotic twins showed that within-pair differences in adiposity measures were inversely associated with within-pair differences in the levels of TT and SHBG, while within-pair differences in lean mass were inversely associated with within-pair differences in the levels of TT. ConclusionsThe significant associations of body composition with testosterone and SHBG were influenced by both genetic and environmental factors. Further efforts to elucidate related genes and modifiable environmental factors are needed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据