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身体成分的流行病学应用。测量误差的影响及校正

Epidemiological applications of body composition. The effects and adjustment of measurement errors.

作者信息

Guo S S, Siervogel R M, Chumlea W C

机构信息

Department of Community Health, Wright State University School of Medicine, Dayton, Ohio 45435, USA.

出版信息

Ann N Y Acad Sci. 2000 May;904:312-6. doi: 10.1111/j.1749-6632.2000.tb06473.x.

DOI:10.1111/j.1749-6632.2000.tb06473.x
PMID:10865762
Abstract

The amounts of fat and fat-free mass (FFM) are functions of lifestyle, diseases, increasing age, and genetics. The levels of these body compartments are established risk factors for cardiovascular and related chronic diseases. Body composition can be assessed by several methods. The measurements for each method have inherent variations, which can be due to error in the measurement or biological variation. This presentation focuses on the reliability and precision of body composition measurements and the impact of these errors on epidemiological and population-based studies. The effects of these errors in applying body composition to epidemiological studies include the following: (1) the association of cardiovascular risk factors with body composition in cross-sectional studies; (2) changes in body composition in longitudinal or intervention studies; (3) association of changes in body composition with cardiovascular risk factors; and (4) comparison of levels of body composition among subgroups in cross-sectional studies and in intervention studies.

摘要

脂肪量和去脂体重(FFM)受生活方式、疾病、年龄增长及遗传因素影响。这些身体组成部分的水平是心血管及相关慢性病的既定风险因素。身体成分可通过多种方法进行评估。每种方法的测量都存在固有差异,这可能是由于测量误差或生物变异所致。本报告重点关注身体成分测量的可靠性和精密度,以及这些误差对流行病学和基于人群的研究的影响。在将身体成分应用于流行病学研究时,这些误差的影响包括以下几点:(1)横断面研究中心血管危险因素与身体成分的关联;(2)纵向或干预研究中身体成分的变化;(3)身体成分变化与心血管危险因素的关联;以及(4)横断面研究和干预研究中亚组间身体成分水平的比较。

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