Suppr超能文献

体力活动与糖尿病患者全因死亡率和心血管疾病风险的关系:荟萃分析。

Association between physical activity and risk of all-cause mortality and cardiovascular disease in patients with diabetes: a meta-analysis.

机构信息

Department of Health Management Center, Mito Kyodo General Hospital, Mito City, Japan.

出版信息

Diabetes Care. 2013 Feb;36(2):471-9. doi: 10.2337/dc12-0783.

Abstract

OBJECTIVE

The association between habitual physical activity (PA) and lowered risk of all-cause mortality (ACM) and cardiovascular disease (CVD) has been suggested in patients with diabetes. This meta-analysis summarizes the risk reduction in relation to PA, focusing on clarifying dose-response associations.

RESEARCH DESIGN AND METHODS

Electronic literature searches were conducted for cohort studies that examined relative risk (RR) of ACM or CVD in relation to PA in patients with diabetes. For the qualitative assessment, RR for the highest versus the lowest PA category in each study was pooled with a random-effects model. We added linear and spline regression analyses to assess the quantitative relationship between increases in PA and ACM and CVD risk.

RESULTS

There were 17 eligible studies. Qualitatively, the highest PA category had a lower RR [95% CI] for ACM (0.61 [0.52-0.70]) and CVD (0.71 [0.60-0.84]) than the lowest PA category. The linear regression model indicated a high goodness of fit for the risk of ACM (adjusted R(2) = 0.44, P = 0.001) and CVD (adjusted R(2) = 0.51, P = 0.001), with the result that a 1 MET-h/day incrementally higher PA was associated with 9.5% (5.0-13.8%) and 7.9% (4.3-11.4%) reductions in ACM and CVD risk, respectively. The spline regression model was not significantly different from the linear model in goodness of fit (P = 0.14 for ACM risk; P = 0.60 for CVD risk).

CONCLUSIONS

More PA was associated with a larger reduction in future ACM and CVD risk in patients with diabetes. Nevertheless, any amount of habitual PA was better than inactivity.

摘要

目的

有研究表明,习惯性体力活动(PA)与糖尿病患者全因死亡率(ACM)和心血管疾病(CVD)风险降低有关。本荟萃分析总结了与 PA 相关的风险降低情况,重点阐明了剂量反应关系。

研究设计和方法

对评估糖尿病患者 PA 与 ACM 或 CVD 风险相关性的队列研究进行电子文献检索。对于定性评估,使用随机效应模型对每个研究中 PA 最高与最低类别之间的 RR 进行汇总。我们还进行了线性和样条回归分析,以评估 PA 增加与 ACM 和 CVD 风险之间的定量关系。

结果

共有 17 项符合条件的研究。定性分析显示,PA 最高类别 ACM(0.61 [0.52-0.70])和 CVD(0.71 [0.60-0.84])的 RR 低于 PA 最低类别。线性回归模型表明 ACM 风险(调整 R² = 0.44,P = 0.001)和 CVD 风险(调整 R² = 0.51,P = 0.001)的拟合优度较高,结果表明,PA 每增加 1 MET-h/天,ACM 和 CVD 风险分别降低 9.5%(5.0-13.8%)和 7.9%(4.3-11.4%)。样条回归模型在拟合优度方面与线性模型无显著差异(ACM 风险的 P = 0.14;CVD 风险的 P = 0.60)。

结论

更多的 PA 与糖尿病患者未来 ACM 和 CVD 风险的降低幅度更大相关。然而,任何习惯性 PA 的量都优于不活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42a6/3554302/055c80444297/471fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验