Prasitsiriphon Orawan, Pothisiri Wiraporn
College of Population Studies, Chulalongkorn University, Bangkok, Thailand.
Population program, International Institute for Applied Systems Analysis (IIASA), Vienna, Austria.
Clin Med Insights Cardiol. 2018 Apr 20;12:1179546818771894. doi: 10.1177/1179546818771894. eCollection 2018.
(1) To examine the associations between 3 measures of grip strength: static grip strength, change in grip strength, and the combination of grip strength and its change, with all-cause and cardiovascular mortality, and (2) to determine which measure is the most powerful predictor of all-cause and cardiovascular mortality among the European older population.
Data come from the first 4 waves of the Survey of Health, Ageing and Retirement in Europe (SHARE). A Cox proportional hazard model and a competing risk regression model were used to assess the associations. To determine the best predictor, Akaike information criterion was applied.
Grip strength and the combination of grip strength and its change were associated with all-cause and cardiovascular mortality. Change in grip strength was correlated with only all-cause mortality. Among the 3 measures, the static measure of grip strength was the best predictor of cardiovascular mortality whereas the combined measure is that of all-cause mortality.
Grip strength is a significant indicator of all-cause and cardiovascular mortality. The combination of grip strength and its change can be used to increase the accuracy for prediction of all-cause mortality among older persons.
(1)研究握力的三种测量指标(静态握力、握力变化以及握力及其变化的组合)与全因死亡率和心血管死亡率之间的关联;(2)确定在欧洲老年人群中,哪种测量指标是全因死亡率和心血管死亡率的最有力预测指标。
数据来自欧洲健康、老龄化与退休调查(SHARE)的前4轮调查。使用Cox比例风险模型和竞争风险回归模型来评估这些关联。为确定最佳预测指标,应用了赤池信息准则。
握力以及握力及其变化的组合与全因死亡率和心血管死亡率相关。握力变化仅与全因死亡率相关。在这三种测量指标中,静态握力测量指标是心血管死亡率的最佳预测指标,而组合测量指标是全因死亡率的最佳预测指标。
握力是全因死亡率和心血管死亡率的重要指标。握力及其变化的组合可用于提高老年人全因死亡率预测的准确性。