Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship.

Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship.
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系统的审查和荟萃分析对步行,骑自行车以及剂量反应关系的全因死亡率的降低和荟萃分析。

DOI:
10.1186/s12966-014-0132-x
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发表时间:
2014-10-24
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Foster C
Foster C
中科院分区:
其他
文献类型:
--
作者:
Kelly P;Kahlmeier S;Götschi T;Orsini N;Richards J;Roberts N;Scarborough P;Foster C

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步行和骑自行车对全因死亡率(ACM)的人群风险具有有益影响。本文旨在审查证据并量化这些影响,并根据其他体力活动(PA)进行调整。我们进行了系统回顾,以确定相关研究。2013年11月,使用以下出版物的健康数据库进行了检索:Embase(OvidSP); Medline(OvidSP); Web of Knowledge; CINAHL; SCOPUS; SPORTDiscus。我们还检索了相关文本和评论的参考文献列表。符合条件的研究是前瞻性队列设计,并报告步行或骑自行车暴露和死亡率作为结局。只有基线时健康的个体队列才被视为合格。提取的数据包括研究人群和地点、样本量、人群特征(年龄和性别)、多年随访、步行或骑自行车暴露、死亡率结果以及其他协变量的调整。我们使用随机效应荟萃分析来研究定期步行和骑自行车的有益影响。步行(14项研究的18项结果)和骑自行车(7项研究的8项结果)显示可降低全因死亡率的风险,并对其他PA进行了调整。对于每周11.25 MET.小时(或每周675 MET.分钟)的标准化剂量,步行和骑自行车的ACM风险降低分别为11%(95% CI = 4 - 17%)和10%(95% CI = 6 - 13%)。步行的估计是基于280,000名参与者和260万人年,而骑自行车的估计是基于187,000名参与者和210万人年。通过对三个暴露间隔内的合并相对风险进行荟萃分析,对剂量-反应关系的形状进行建模。剂量反应分析表明,步行或骑自行车在第一次(最低)接触间隔对ACM风险的影响最大。分析表明,步行和骑自行车有人口水平的健康效益,即使在调整其他PA。如果公共卫生方法能够提高那些活动水平最低的群体的步行和骑自行车水平,那么这些方法将产生最大的影响。该审查方案已在PROSPERO(健康和社会护理前瞻性注册系统性综述国际数据库)PROSPERO 2013:CRD 42013004266中注册。本文的在线版本(doi:10.1186/s12966-014-0132-x)包含补充材料,可供授权用户使用。
Walking and cycling have shown beneficial effects on population risk of all-cause mortality (ACM). This paper aims to review the evidence and quantify these effects, adjusted for other physical activity (PA). We conducted a systematic review to identify relevant studies. Searches were conducted in November 2013 using the following health databases of publications: Embase (OvidSP); Medline (OvidSP); Web of Knowledge; CINAHL; SCOPUS; SPORTDiscus. We also searched reference lists of relevant texts and reviews. Eligible studies were prospective cohort design and reporting walking or cycling exposure and mortality as an outcome. Only cohorts of individuals healthy at baseline were considered eligible. Extracted data included study population and location, sample size, population characteristics (age and sex), follow-up in years, walking or cycling exposure, mortality outcome, and adjustment for other co-variables. We used random-effects meta-analyses to investigate the beneficial effects of regular walking and cycling. Walking (18 results from 14 studies) and cycling (8 results from 7 studies) were shown to reduce the risk of all-cause mortality, adjusted for other PA. For a standardised dose of 11.25 MET.hours per week (or 675 MET.minutes per week), the reduction in risk for ACM was 11% (95% CI = 4 to 17%) for walking and 10% (95% CI = 6 to 13%) for cycling. The estimates for walking are based on 280,000 participants and 2.6 million person-years and for cycling they are based on 187,000 individuals and 2.1 million person-years. The shape of the dose–response relationship was modelled through meta-analysis of pooled relative risks within three exposure intervals. The dose–response analysis showed that walking or cycling had the greatest effect on risk for ACM in the first (lowest) exposure interval. The analysis shows that walking and cycling have population-level health benefits even after adjustment for other PA. Public health approaches would have the biggest impact if they are able to increase walking and cycling levels in the groups that have the lowest levels of these activities. The review protocol was registered with PROSPERO (International database of prospectively registered systematic reviews in health and social care) PROSPERO 2013: CRD42013004266. The online version of this article (doi:10.1186/s12966-014-0132-x) contains supplementary material, which is available to authorized users.
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