Body mass index and percent body fat: a metaanalysis among different ethnic groups
Body mass index and percent body fat: a metaanalysis among different ethnic groups
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DOI：
10.1038/sj/ijo/0800741
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发表时间：
1998-12-01
影响因子：
4.9
通讯作者：
van Staveren, WA
中科院分区：
文献类型：
--
作者：
Deurenberg, P;Yap, M;van Staveren, WA
目的：研究不同民族人群体脂率与体重指数（BMI）的关系，评价BMI肥胖分界点的有效性。设计：文献资料荟萃分析。研究对象：美国黑人、高加索人、中国人、埃塞俄比亚人、印度尼西亚人、波利尼西亚人和泰国人。测量方法：BMI、体脂百分比、性别和年龄的平均值改编自原始论文。结果：体脂百分比与BMI之间的关系在研究的种族中有所不同。对于相同的体脂水平、年龄和性别，美国黑人和波利尼西亚人的BMI分别比白种人低1.3 kg/m2和4.5 kg/m2。相比之下，中国人、埃塞俄比亚人、印度尼西亚人和泰国人的bmi分别比高加索人低1.9、4.6、3.2和2.9 kg/m2。美国白种人和欧洲白种人的体脂百分比和BMI之间的关系也存在细微差异。在不同种族中发现的体脂/BMI关系的差异可能是由于能量平衡的差异以及体型的差异。结论：不同民族人群体脂率与BMI的关系存在差异。这应该对肥胖的BMI分界点的定义具有公共卫生意义，这需要针对特定人群。
OBJECTIVE: To study the relationship between percent body fat and body mass index (BMI) in different ethnic groups and to evaluate the validity of the BMI cut-off points for obesity.DESIGN: Meta analysis of literature data.SUBJECTS: Populations of American Blacks, Caucasians, Chinese, Ethiopians, Indonesians, Polynesians and Thais.MEASUREMENTS: Mean values of BMI, percent body fat, gender and age were adapted from original papers.RESULTS: The relationship between percent body fat and BMI differs in the ethnic groups studied. For the same level of body fat, age and gender, American Blacks have a 1.3 kg/m(2) and Polynesians a 4.5 kg/m2 lower BMI compared to Caucasians. By contrast, in Chinese, Ethiopians, Indonesians and Thais BMIs are 1.9, 4.6, 3.2 and 2.9 kg/m2 lower compared to Caucasians, respectively. Slight differences in the relationship between percent body fat and BMI of American Caucasians and European Caucasians were also found. The differences found in the body fat/BMI relationship in different ethnic groups could be due to differences in energy balance as well as to differences in body build.CONCLUSIONS: The results show that the relationship between percent body fat and BMI is different among different ethnic groups. This should have public health implications for the definitions of BMI cut-off points for obesity, which would need to be population-specific.