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每日步数与全因和心血管死亡率的关系:荟萃分析。

The association between daily step count and all-cause and cardiovascular mortality: a meta-analysis.

机构信息

Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Rzgowska 281/289, Lodz 93-338, Poland.

Department of Cardiology and Adult Congenital Heart Diseases, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Rzgowska 281/289; 93-338 Lodz, Poland.

出版信息

Eur J Prev Cardiol. 2023 Dec 21;30(18):1975-1985. doi: 10.1093/eurjpc/zwad229.

Abstract

AIMS

There is good evidence showing that inactivity and walking minimal steps/day increase the risk of cardiovascular (CV) disease and general ill-health. The optimal number of steps and their role in health is, however, still unclear. Therefore, in this meta-analysis, we aimed to evaluate the relationship between step count and all-cause mortality and CV mortality.

METHODS AND RESULTS

We systematically searched relevant electronic databases from inception until 12 June 2022. The main endpoints were all-cause mortality and CV mortality. An inverse-variance weighted random-effects model was used to calculate the number of steps/day and mortality. Seventeen cohort studies with a total of 226 889 participants (generally healthy or patients at CV risk) with a median follow-up 7.1 years were included in the meta-analysis. A 1000-step increment was associated with a 15% decreased risk of all-cause mortality [hazard ratio (HR) 0.85; 95% confidence interval (CI) 0.81-0.91; P < 0.001], while a 500-step increment was associated with a 7% decrease in CV mortality (HR 0.93; 95% CI 0.91-0.95; P < 0.001). Compared with the reference quartile with median steps/day 3867 (2500-6675), the Quartile 1 (Q1, median steps: 5537), Quartile 2 (Q2, median steps 7370), and Quartile 3 (Q3, median steps 11 529) were associated with lower risk for all-cause mortality (48, 55, and 67%, respectively; P < 0.05, for all). Similarly, compared with the lowest quartile of steps/day used as reference [median steps 2337, interquartile range 1596-4000), higher quartiles of steps/day (Q1 = 3982, Q2 = 6661, and Q3 = 10 413) were linearly associated with a reduced risk of CV mortality (16, 49, and 77%; P < 0.05, for all). Using a restricted cubic splines model, we observed a nonlinear dose-response association between step count and all-cause and CV mortality (Pnonlineraly < 0.001, for both) with a progressively lower risk of mortality with an increased step count.

CONCLUSION

This meta-analysis demonstrates a significant inverse association between daily step count and all-cause mortality and CV mortality with more the better over the cut-off point of 3867 steps/day for all-cause mortality and only 2337 steps for CV mortality.

摘要

目的

有充分的证据表明,缺乏活动和每天行走的最小步数会增加心血管疾病和整体健康不良的风险。然而,最佳步数及其对健康的作用仍不清楚。因此,在这项荟萃分析中,我们旨在评估步数与全因死亡率和心血管死亡率之间的关系。

方法和结果

我们系统地检索了从成立到 2022 年 6 月 12 日的相关电子数据库。主要终点是全因死亡率和心血管死亡率。使用逆方差加权随机效应模型计算每日步数和死亡率。荟萃分析纳入了 17 项队列研究,共 226889 名参与者(一般健康或心血管风险患者),中位随访时间为 7.1 年。与全因死亡率相比,每增加 1000 步,风险降低 15%[风险比(HR)0.85;95%置信区间(CI)0.81-0.91;P<0.001],而每增加 500 步,心血管死亡率降低 7%(HR 0.93;95%CI 0.91-0.95;P<0.001)。与中位每日步数 3867(2500-6675)的参考四分位间距相比,第 1 四分位间距(Q1,中位步数:5537)、第 2 四分位间距(Q2,中位步数 7370)和第 3 四分位间距(Q3,中位步数 11529)与全因死亡率降低相关(分别为 48%、55%和 67%;P<0.05,均为)。同样,与最低四分位间距的每日步数(中位数 2337,四分位间距 1596-4000)相比,更高的每日步数四分位间距(Q1=3982,Q2=6661,Q3=10413)与心血管死亡率降低呈线性相关(16%、49%和 77%;P<0.05,均为)。使用限制立方样条模型,我们观察到每日步数与全因死亡率和心血管死亡率之间存在显著的非线性剂量反应关联(Pnonlinear<0.001,均为),随着步数的增加,死亡率呈逐渐降低的趋势。

结论

这项荟萃分析表明,每日步数与全因死亡率和心血管死亡率之间存在显著的负相关关系,超过全因死亡率的 3867 步/天和心血管死亡率的 2337 步的截止值后,步数越多越好。

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