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首页> 外文期刊>Journal of the American Medical Directors Association >Predicting cause-specific mortality of older men living in the veterans home by handgrip strength and walking speed: a 3-year, prospective cohort study in Taiwan.
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Predicting cause-specific mortality of older men living in the veterans home by handgrip strength and walking speed: a 3-year, prospective cohort study in Taiwan.

机译:通过握力和步行速度来预测住在退伍军人家中老年男性的因病死亡率:一项在台湾进行的为期3年的前瞻性队列研究。

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摘要

To determine prognostic value of handgrip strength (HGS) and walking speed (WS) in predicting the cause-specific mortality for older men.Prospective cohort study.Banciao Veterans Care Home.558 residents aged 75 years and older.Anthropometric data, lifestyle factors, comorbid conditions, biomarkers, HGS, and WS at recruitment; all-cause and cause-specific mortality at 3 years after recruitment.During the study period, 99 participants died and the baseline HGS and WS were significantly lower than survivors (P both <.001). Cox survival analysis showed that subjects with slowest quartile of WS were at significantly higher risk of all-cause mortality and cardiovascular mortality (hazard ratio [HR] 3.55, 95% confidence interval [CI] 1.69-7.43; HR 11.55, 95% CI 2.30-58.04, respectively), whereas the lowest quartile of HGS significantly predicted a higher risk of infection-related death (HR 5.53, 95% CI 1.09-28.09). Participants in the high-risk status with slowest quartile for WS but not those in the high-risk status with weakest quartile for HGS had similar high risk of all-cause mortality with the group with combined high-risk status (HR 2.96, 95% CI 1.68-5.23; HR 2.58, 95% CI 1.45-4.60, respectively) compared with the participants without high-risk status (reference group).Slow WS predicted all-cause and cardiovascular mortality, whereas weak HGS predicted a higher risk of infection-related death among elderly, institutionalized men in Taiwan. Combining HGS with WS simultaneously had no better prognostic value than using WS only in predicting all-cause mortality.
机译:为了确定手握强度(HGS)和步行速度(WS)在预测老年男性特定病因死亡率中的预后价值。前瞻性队列研究.Banciao退伍军人护理院.558名75岁及以上的居民。人体测量数据,生活方式因素,合并时的合并症,生物标志物,HGS和WS;招募后3年内的全因和特定原因死亡率。在研究期间,有99名参与者死亡,基线HGS和WS显着低于幸存者(P均<.001)。 Cox生存分析表明,WS四分位数最慢的受试者的全因死亡率和心血管疾病死亡率均显着较高(危险比[HR] 3.55,95%置信区间[CI] 1.69-7.43; HR 11.55,95%CI 2.30 -58.04),而HGS的最低四分位数显着预测了感染相关死亡的更高风险(HR 5.53,95%CI 1.09-28.09)。 WS四分位最慢的高风险状态的参与者,而HGS四分位最弱的高风险状态的参与者与合并高风险状态的组的全因死亡率高风险相似(HR 2.96,95%与没有高危状态的参与者(参考组)相比,CI为1.68-5.23; HR为2.58,95%CI为1.45-4.60;慢速WS可以预测全因和心血管疾病的死亡率,而HGS弱则可以预测更高的感染风险台湾的老年人中,与机构相关的死亡。同时将HGS与WS结合使用比仅使用WS预测全因死亡率没有更好的预后价值。

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