Dose-Response Association Between Physical Activity and Incident Hypertension A Systematic Review and Meta-Analysis of Cohort Studies
Dose-Response Association Between Physical Activity and Incident Hypertension A Systematic Review and Meta-Analysis of Cohort Studies
复制标题
体力活动与高血压事件之间的剂量反应关联队列研究的系统回顾和荟萃分析
DOI：
10.1161/hypertensionaha.116.08994
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发表时间：
2017-05-01
期刊：
影响因子：
8.3
通讯作者：
Zhang, Ming
中科院分区：
文献类型：
--
作者：
Liu, Xuejiao;Zhang, Dongdong;Zhang, Ming
尽管体力活动（PA）和高血压事件之间的负相关，PA和高血压之间的定量剂量反应关系的全面评估尚未报道。我们进行了荟萃分析，包括剂量反应分析，以定量评估这种关联。我们检索了PubMed和Embase数据库中截至2016年11月1日发表的文章。随机效应广义最小二乘回归模型被用来评估PA和高血压风险之间的定量关联研究。使用限制性三次样条对剂量-反应相关性进行建模。我们确定了22篇文章（29项研究），调查了休闲时间PA或总PA的高血压风险，包括330222例高血压患者和67698例高血压事件。每增加10代谢当量的工作时/周的休闲时间PA，高血压的风险降低6%（相对风险，0.94; 95%置信区间，0.92-0.96）。我们没有发现PA和高血压之间存在非线性剂量-反应关系的证据（休闲时间PA的P-非线性= 0.094，总PA的P-非线性= 0.771）。用线性三次样条模型，与不活动的个体相比，对于那些符合指南推荐的最低水平的中度PA（10代谢当量的任务h/wk），高血压的风险降低了6%（相对风险，0.94; 95%置信区间，0.92-0.97）。这项荟萃分析表明，随着PA量的增加，预防高血压的额外益处也会出现。
Despite the inverse association between physical activity (PA) and incident hypertension, a comprehensive assessment of the quantitative dose-response association between PA and hypertension has not been reported. We performed a meta-analysis, including dose-response analysis, to quantitatively evaluate this association. We searched PubMed and Embase databases for articles published up to November 1, 2016. Random effects generalized least squares regression models were used to assess the quantitative association between PA and hypertension risk across studies. Restricted cubic splines were used to model the dose-response association. We identified 22 articles (29 studies) investigating the risk of hypertension with leisure-time PA or total PA, including 330 222 individuals and 67 698 incident cases of hypertension. The risk of hypertension was reduced by 6% (relative risk, 0.94; 95% confidence interval, 0.92-0.96) with each 10 metabolic equivalent of task h/wk increment of leisure-time PA. We found no evidence of a nonlinear dose-response association of PA and hypertension (P-nonlinearity = 0.094 for leisure-time PA and 0.771 for total PA). With the linear cubic spline model, when compared with inactive individuals, for those who met the guidelines recommended minimum level of moderate PA (10 metabolic equivalent of task h/wk), the risk of hypertension was reduced by 6% (relative risk, 0.94; 95% confidence interval, 0.92-0.97). This meta-analysis suggests that additional benefits for hypertension prevention occur as the amount of PA increases.