Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
J Am Med Dir Assoc. 2013 Mar;14(3):187-93. doi: 10.1016/j.jamda.2012.09.023. Epub 2012 Nov 16.
In elderly individuals, little is known about changes in different anthropometric measures with respect to mortality. We examined the association between changes in eight anthropometric measures and mortality in an elderly population.
Longitudinal study including baseline measurements in 1988-1990 and repeated measures in 1993.
European towns.
A total of 1061 older adults born in 1913-1918 from the Survey in Europe on Nutrition and the Elderly, A Concerted Action study were included in this study.
Weight, body mass index, waist circumference, waist to hip ratio, waist to height ratio, mid-upper arm circumference (MUAC), triceps skinfold thickness, and corrected arm muscle area were taken during both measurements.
A Cox regression model was used to examine the association between anthropometric changes (divided into quintiles, smallest change = reference category) and all-cause and cardiovascular disease mortality over approximately 6 years of follow-up, adjusted for baseline measurement of application, age, sex, smoking, education, physical activity, and major chronic diseases. A decrease in weight (≥3.2 kg), waist circumference (≥3.1 cm), and MUAC (≥1.6 cm and 0.6-1.6 cm) were (near) significantly associated with an all-cause mortality risk of 1.48 (95% CI: 0.99-2.20), 1.52 (95% CI: 1.01-2.31), 1.81 (95% CI: 1.17-2.79), and 1.66 (95% CI: 1.10-2.49), respectively. Also for MUAC, an increase (≥1.3 cm) was significantly associated with an increased all-cause and cardiovascular disease mortality risk [hazard ratio, 1.52 (95% CI: 1.00-2.31) and 1.94 (95% CI: 1.00-3.75), respectively].
Associations were observed for decreases in only 3 of 8 anthropometric measures and all-cause mortality. Decreases in MUAC had the strongest association with mortality and was the only measure in which an increase also was associated with mortality. This suggests a role for MUAC in the prediction of mortality in elderly individuals.
在老年人中,关于不同人体测量指标与死亡率之间的变化知之甚少。我们研究了老年人中 8 个人体测量指标变化与死亡率之间的关系。
包括 1988-1990 年基线测量和 1993 年重复测量的纵向研究。
欧洲城镇。
这项研究共纳入了来自欧洲营养与老龄化调查(Survey in Europe on Nutrition and the Elderly, a Concerted Action)研究的 1913-1918 年出生的 1061 名老年人,这些老年人均在基线测量时进行了测量。
体重、体重指数、腰围、腰臀比、腰高比、中上臂围(mid-upper arm circumference,MUAC)、三头肌皮褶厚度和校正臂肌区(corrected arm muscle area)。
使用 Cox 回归模型,在校正了应用的基线测量值、年龄、性别、吸烟、教育、体力活动和主要慢性疾病后,分析了大约 6 年随访期间人体测量指标变化(分为五分位数,最小变化=参考类别)与全因和心血管疾病死亡率之间的关系。体重(≥3.2kg)、腰围(≥3.1cm)和 MUAC(≥1.6cm 和 0.6-1.6cm)下降与全因死亡率风险升高(风险比分别为 1.48[95%置信区间:0.99-2.20]、1.52[95%置信区间:1.01-2.31]、1.81[95%置信区间:1.17-2.79]和 1.66[95%置信区间:1.10-2.49])存在显著关联。对于 MUAC,增加(≥1.3cm)与全因和心血管疾病死亡率风险升高显著相关[危险比分别为 1.52[95%置信区间:1.00-2.31]和 1.94[95%置信区间:1.00-3.75])。
仅在 8 个人体测量指标中的 3 个指标和全因死亡率方面观察到下降与死亡率之间存在关联。MUAC 的下降与死亡率的关联最强,并且是唯一与死亡率增加相关的指标。这表明 MUAC 在预测老年人死亡率方面具有一定作用。