Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Ann Epidemiol. 2012 Oct;22(10):710-6. doi: 10.1016/j.annepidem.2012.07.009. Epub 2012 Aug 25.
To compare the predictive value of a variety of adiposity measures for the risk of disability.
DESIGN/SETTING: This study used 14-year follow-up of the Melbourne Collaborative Cohort Study (n = 7142). Adiposity measures were collected at baseline and disability measures for 5 self-care activities and mobility were collected at follow-up (2003-2007).
Logistic regression was used to analyze the association between each adiposity measure (body mass index [BMI], waist circumference [WC], hip circumference, waist-to-hip ratio, fat mass, fat free mass, and percentage fat and disability. Area under the receiver operating curve ranking and comparison between nested models were used to determine the best predictor of disability.
For men and women, the odds for disability increased with increasing adiposity. In men, BMI was the most predictive adiposity measure for all types of disability. In women, 2 adiposity measures (BMI and WC) predicted overall and mobility disability better than only one measure, with hip circumference the single best predictor for self-care disability.
BMI and WC predicted disability well in men and women. Identifying individuals at high risk of future disability through simple measures of adiposity will be essential if we are to adequately cater for our ageing population.
比较多种肥胖指标对残疾风险的预测价值。
设计/设置:本研究使用了墨尔本协作队列研究(n=7142)的 14 年随访数据。在基线时收集肥胖指标,在随访时(2003-2007 年)收集 5 项自理活动和移动能力的残疾指标。
使用逻辑回归分析了每种肥胖指标(体重指数[BMI]、腰围[WC]、臀围、腰臀比、脂肪量、去脂体重和体脂百分比)与残疾之间的关联。接收者操作特征曲线下面积排名和嵌套模型之间的比较用于确定残疾的最佳预测指标。
对于男性和女性,残疾的几率随着肥胖程度的增加而增加。在男性中,BMI 是所有类型残疾的最具预测性的肥胖指标。在女性中,有 2 种肥胖指标(BMI 和 WC)比仅一种指标(BMI)更好地预测整体和移动能力残疾,而臀围是自理能力残疾的最佳单一预测指标。
BMI 和 WC 很好地预测了男性和女性的残疾。如果我们要充分满足我们的老龄化人口的需求,那么通过简单的肥胖指标来识别未来有残疾风险的个体将是至关重要的。