Charles Perkins Centre, Prevention Research Collaboration, School of Public Health, University of Sydney , Sydney, Australia.
i+HeALTH Research Group, Department of Health Sciences, European University Miguel de Cervantes , Valladolid, Spain.
J Sports Sci. 2020 Dec;38(23):2732-2739. doi: 10.1080/02640414.2020.1797438. Epub 2020 Jul 29.
To investigate whether the excess risk of adverse health outcomes associated with a lower physical capability in adulthood differs by deprivation levels.
279,030 participants from the UK Biobank were included. Handgrip strength and walking pace were the exposures. All-cause mortality, CVD mortality and incidence were the outcomes. Townsend deprivation index was treated as a potential effect modifier. The associations were investigated using Cox-regression models with years of follow-up as the time-varying covariate.
A significant interaction between deprivation and handgrip strength was found for all-cause mortality (p = 0.024), CVD mortality (p = 0.006) and CVD incidence (p = 0.001). The hazard ratio for all-cause mortality was 1.18 [1.09; 1.29] per 1-tertile higher level of grip strength in the least deprived group, whereas it was 1.30 [1.18; 1.43] in the most deprived individuals. Similar results were found for CVD mortality and incidence per tertile increment in handgrip strength in the least and most deprived quintiles, respectively. No significant interactions between deprivation and walking pace were found for any of the outcomes.
Low handgrip strength is a stronger predictor of morbidity and mortality in individuals living in more deprived areas.
为了探究成年时期体力活动能力下降与不良健康结果之间的关联风险是否因贫困程度不同而存在差异。
纳入英国生物库 279030 名参与者。握力和步行速度是暴露因素。全因死亡率、心血管疾病死亡率和发病率是结局。采用 Townsend 剥夺指数作为潜在的效应修饰剂。使用 Cox 回归模型，以随访年限作为时变协变量，对关联进行了调查。
在全因死亡率（p=0.024）、心血管疾病死亡率（p=0.006）和心血管疾病发病率（p=0.001）方面，均发现了剥夺程度与握力之间存在显著的交互作用。在最不贫困组中，握力每增加一个等级，全因死亡率的风险比为 1.18 [1.09; 1.29]，而在最贫困组中，风险比为 1.30 [1.18; 1.43]。在最贫困和最不贫困五分位数中，握力每增加一个等级，心血管疾病死亡率和发病率的风险比分别为 1.18 [1.09; 1.29] 和 1.30 [1.18; 1.43]。在任何结局中，均未发现剥夺程度和步行速度之间存在显著的交互作用。
在生活在贫困程度较高地区的个体中，握力较低是发病率和死亡率的更强预测因素。
