普通人群中的瘦素、性激素、血脂、性别和生活方式特征的差异

R. Olstad, J. Florholmen, J. Svartberg, J. Rosenvinge, G. Birketvedt
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引用次数: 11

摘要

脂肪量是血清瘦素浓度的主要预测因子,瘦素是一种由肥胖基因编码的167个氨基酸的肽激素。关于血清瘦素的其他决定因素还没有普遍的共识,但人们的注意力一直集中在性别和性激素上。本研究的目的是描述人口研究中的性别差异,并评估生活方式特征、血脂模式和性激素作为血清瘦素决定因素的个体贡献。材料和方法:在1994/95年间进行的一项多目的横断面一般健康调查("Tromso IV"- N = 27.159)中,对1812名受试者的亚样本进行了瘦素测量。进行多元回归分析,以确定各预测因子的重要性。结果:瘦素的性别差异随着BMI的增加而增加,性别预测瘦素变化的33%。男女之间生活方式因素的差异并不能解释性别差异。吸烟、体力活动、睾酮和SHBG是独立的阴性预测因素。雌二醇是血清瘦素的阳性预测因子。然而,所有这些都导致了血清瘦素的微小变化。血清瘦素和血清睾酮以及血清睾酮和BMI之间存在性别二态性。结论:BMI和性别是血清瘦素变化的强预测因子。生活方式因素和性激素的预测性较低。瘦素、睾酮和BMI之间的性别二态性表明,身体脂肪分布与这两种激素之间存在复杂的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leptin in the General Population, Differences in Sex Hormones, Blood Lipids, Gender and Life Style Characteristics
Introduction: Fat mass is the main predictor of the serum concentration of leptin, a 167-amino acid peptide hormone encoded by the obesity gene. There is no general agreement about other determinant factors of serum leptin, but attention has been focused on gender and sex hormones. The objective of this study was to describe gender differences in a population study and evaluate the individual contribution of life style characteristics, blood lipid pattern and sex hormones as determinants of serum leptin. Materials and Methodology: In a multipurpose, cross-sectional general health survey, ("Tromso IV"- N = 27.159), conducted during the years 1994/95, measurement of leptin was performed in a sub sample of 1812 subjects. Multiple regression analysis was performed in order to establish the importance of each predictor. Results: Gender differences in leptin increased with increasing BMI, and the gender predicted 33 % of the variation of leptin. Differences in life style factors between men and women could not explain gender differences. Smoking, physical activity, testosterone and SHBG were independent negative predictive factors. Estradiol was positive predictive factor of serum leptin. However, all contributed to a small variation in serum leptin. A gender dimorphism was observed between serum leptin and serum testosterone and between serum testosterone and BMI. Conclusions: BMI and gender were strong predictors in variations in serum leptin. Life style factors and sex hormones were less predictive. Gender dimorphisms between leptin, testosterone and BMI indicate a complex relationship between body fat distribution and the two hormones.
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