Wang Jing, Rennie Kirsten L, Gu Wenjia, Li Huaixing, Yu Zhijie, Lin Xu
Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Ann Hum Biol. 2009 Jan-Feb;36(1):110-21. doi: 10.1080/03014460802585079.
Excess fat leads to adverse health outcomes. Most previous studies investigating body fatness using BMI or fat percentage, which contain both fat mass and fat-free mass, were not able to differentiate the exposure.
The present study assessed the independent association of fat and fat-free mass with metabolic syndrome (MetS) in Chinese.
A population-based study of 1144 subjects aged 50-70 from urban and rural areas of Shanghai in 2005-2006 was employed. Body composition was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated. MetS was defined using the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria without waist circumference for its high correlation with body composition.
Both FMI and FFMI were significantly related with higher odds of MetS (OR 3.97, 95% CI 2.58-6.09 for FMI; OR 2.67, 95% CI 1.70-4.18 for FFMI, the highest quartile vs the lowest group) after adjusting for age, residence, sex, smoking, drinking, physical activity, medication, family history of chronic diseases, and fat-free mass (for FMI) or fat mass (for FFMI).
Both FMI and FFMI are independently associated with increased MetS risks. Proper expression of body composition is essential in assessing body composition and disease risk association.
过多脂肪会导致不良健康后果。以往大多数使用体重指数（BMI）或脂肪百分比来研究身体脂肪情况的研究，由于这些指标同时包含脂肪量和去脂体重，无法区分暴露因素。
本研究评估了中国人群中脂肪量和去脂体重与代谢综合征（MetS）之间的独立关联。
采用基于人群的研究，于2005 - 2006年对来自上海城乡地区的1144名年龄在50 - 70岁的受试者进行了研究。使用双能X线吸收法（DEXA）测量身体成分。计算脂肪量指数（FMI）和去脂体重指数（FFMI）。代谢综合征采用美国国家胆固醇教育计划成人治疗小组第三次报告（NCEP ATP III）标准进行定义，不包括腰围，因为腰围与身体成分高度相关。
在调整了年龄、居住地、性别、吸烟、饮酒、身体活动、用药情况、慢性病家族史以及去脂体重（针对FMI）或脂肪量（针对FFMI）后，FMI和FFMI均与代谢综合征的较高发病几率显著相关（FMI的比值比为3.97，95%置信区间为2.58 - 6.09；FFMI的比值比为2.67，95%置信区间为1.70 - 4.18，最高四分位数组与最低组相比）。
FMI和FFMI均与代谢综合征风险增加独立相关。在评估身体成分与疾病风险关联时，正确表达身体成分至关重要。
