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首页> 外文期刊>BMJ Open >A cross-sectional study of the association of age, race and ethnicity, and body mass index with sex steroid hormone marker profiles among men in the National Health and Nutrition Examination Survey (NHANES III)
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A cross-sectional study of the association of age, race and ethnicity, and body mass index with sex steroid hormone marker profiles among men in the National Health and Nutrition Examination Survey (NHANES III)

机译:在国家健康和营养检查(NHANES III)中,对男性的年龄,种族和种族以及体重指数与性类固醇激素标志物谱之间的关系进行了横断面研究

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Objectives Since sex hormone markers are metabolically linked, examining sex steroid hormones singly may account for inconsistent findings by age, race/ethnicity and body mass index (BMI) across studies. First, these markers were statistically combined into profiles to account for the metabolic relationship between markers. Then, the relationships between sex steroid hormone profiles and age, race/ethnicity and BMI were explored in multinomial logistic regression models. Design Cross-sectional survey. Setting The US Third National Health and Nutrition Examination Survey (NHANES III). Participants 1538 Men, 17?years. Primary outcome measure Sex hormone profiles. Results Cluster analysis was used to identify four statistically determined profiles with Blom-transformed T, E, sex hormone binding globulin (SHBG), and 3-α diol G. We used these four profiles with multinomial logistic regression models to examine differences by race/ethnicity, age and BMI. Mexican American men 50?years were associated with the profile that had lowest T, E and 3-α diol G levels compared to other profiles (p0.05). Non-Hispanic Black, overweight (25–29.9?kg/m2) and obese (30?kg/m2) men were most likely to be associated with the cluster with the lowest SHBG (p0.05). Conclusion The associations of sex steroid hormone profiles by race/ethnicity are novel, while the findings by age and BMI groups are largely consistent with observations from single hormone studies. Future studies should validate these hormone profile groups and investigate these profiles in relation to chronic diseases and certain cancers.
机译:目的由于性激素标志物是代谢相关的,因此单独检查性类固醇激素可能解释了年龄,种族/族裔和体重指数(BMI)在整个研究中的不一致结果。首先,将这些标记物统计学上组合成概况,以说明标记物之间的代谢关系。然后,在多项逻辑回归模型中探讨了性类固醇激素谱与年龄,种族/民族和BMI之间的关系。设计横断面调查。设置美国第三次全国健康与营养检查调查(NHANES III)。参与者1538名男性,> 17岁。主要结果指标性激素概况。结果聚类分析用于确定Blom转化的T,E,性激素结合球蛋白(SHBG)和3-α二醇G的四个统计学确定的分布图。我们将这四个分布图与多项Logistic回归模型一起使用,以检查种族/性别差异种族,年龄和BMI。与其他年龄段相比,> 50岁的墨西哥裔美国人的T,E和3-α二醇G水平最低(P <0.05)。非西班牙裔黑人,超重(25–29.9?kg / m 2 )和肥胖(> 30?kg / m 2 )男性最有可能与SHBG最低的聚类(p <0.05)。结论按种族/民族划分的性类固醇激素谱的关联是新颖的,而按年龄和BMI组的发现与单项激素研究的观察结果基本一致。未来的研究应验证这些激素谱组并调查与慢性病和某些癌症有关的这些谱。

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