Social Epidemiology Unit, Division of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.
Eur J Clin Nutr. 2010 May;64(5):475-82. doi: 10.1038/ejcn.2010.13. Epub 2010 Mar 10.
BACKGROUND/OBJECTIVES: There is little research on the demographic characteristics and morbidity of people categorized as 'underweight' from their body mass index (BMI) although they have often been shown to have greater mortality. This uncertainty makes it difficult to determine whether to include or exclude these individuals when estimating the health and mortality impacts of BMI. This project compares the demographic characteristics and morbidity patterns of the underweight with those of acceptable weight and the overweight.
SUBJECTS/METHODS: Data on 10 243 community-living residents from the Health Survey for England (2003) were used. Logistic regression models were constructed to compare demographic, biochemical and anthropometric factors in the underweight (BMI<18.5) with those classified as acceptable weight (BMI 18.5-24.9) or overweight (BMI 25.0-29.9).
Univariate analyses found, when compared with other BMI categories, underweight individuals were significantly younger, more likely to smoke, alcohol abstainers, inactive, poorer and were less likely to be ethnically white (all P<0.001). U-shaped relationships between BMI and activities of daily living, respiratory disease, physical activity and mental health variables were seen. In multivariate analysis, the fewest number of significant differences in demographic and morbidity factors were between the underweight and those of acceptable weight.
We recognize that these are cross-sectional data and exclude individuals in institutional settings, but these findings are important. Overall, we could not conclude that the underweight were less healthy than individuals in the other BMI categories. We cannot therefore recommend that the underweight should be excluded from analyses that examine the effects of obesity on mortality.
背景/目的:尽管人们已经发现体重指数(BMI)较低的人往往死亡率更高,但针对这些人(从 BMI 来看属于“体重过轻”)的人口统计学特征和发病率的研究却很少。这种不确定性使得在估计 BMI 对健康和死亡率的影响时,难以确定是否应将这些个体包括或排除在外。本研究比较了体重过轻者、体重正常者和超重者的人口统计学特征和发病模式。
受试者/方法:使用了来自英格兰健康调查(2003 年)的 10243 名社区居民的数据。构建了逻辑回归模型,以比较体重过轻者(BMI<18.5)与体重正常者(BMI 18.5-24.9)或超重者(BMI 25.0-29.9)的人口统计学、生化和人体测量学因素。
单变量分析发现,与其他 BMI 类别相比,体重过轻者年龄明显较小,更有可能吸烟、饮酒、不活跃、经济条件较差,且不太可能是白种人(均 P<0.001)。BMI 与日常生活活动、呼吸疾病、体力活动和心理健康变量之间呈 U 形关系。在多变量分析中,体重过轻者和体重正常者之间人口统计学和发病因素的差异最少。
我们认识到这些是横断面数据,排除了机构环境中的个体,但这些发现很重要。总体而言,我们不能得出体重过轻者比其他 BMI 类别中的个体健康状况更差的结论。因此,我们不能建议在分析肥胖对死亡率的影响时排除体重过轻者。