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步行和骑行对全因死亡率降低的系统评价及剂量反应关系形态的荟萃分析

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

作者信息

Kelly Paul, Kahlmeier Sonja, Götschi Thomas, Orsini Nicola, Richards Justin, Roberts Nia, Scarborough Peter, Foster Charlie

机构信息

Nuffield Department of Population Health, British Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, WHO Collaborating Centre on Population Approaches to Non-Communicable Disease Prevention, University of Oxford, Oxford, OX3 7LF, UK.

Physical Activity for Health Research Centre, Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK.

出版信息

Int J Behav Nutr Phys Act. 2014 Oct 24;11:132. doi: 10.1186/s12966-014-0132-x.

Abstract

BACKGROUND AND OBJECTIVE

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).

DATA SOURCES

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.

STUDY ELIGIBILITY CRITERIA AND PARTICIPANTS

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.

STUDY APPRAISAL AND SYNTHESIS METHODS

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.

RESULTS

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.

CONCLUSIONS AND IMPLICATIONS

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.

REVIEW REGISTRATION

The review protocol was registered with PROSPERO (International database of prospectively registered systematic reviews in health and social care) PROSPERO 2013: CRD42013004266.

摘要

背景与目的

步行和骑自行车已显示出对全因死亡率(ACM)人群风险具有有益影响。本文旨在回顾相关证据并量化这些影响,同时对其他身体活动(PA)进行调整。

数据来源

我们进行了一项系统综述以识别相关研究。2013年11月使用以下出版物健康数据库进行检索:Embase(OvidSP);Medline(OvidSP);Web of Knowledge;CINAHL;SCOPUS;SPORTDiscus。我们还检索了相关文本和综述的参考文献列表。

研究入选标准与参与者

符合条件的研究为前瞻性队列设计,并报告步行或骑自行车暴露情况以及以死亡率作为结局。仅考虑基线时健康个体的队列符合条件。

研究评估与综合方法

提取的数据包括研究人群与地点、样本量、人群特征(年龄和性别)、随访年限、步行或骑自行车暴露情况、死亡率结局以及对其他协变量的调整。我们使用随机效应荟萃分析来研究规律步行和骑自行车的有益影响。

结果

在对其他PA进行调整后,步行(来自14项研究的18个结果)和骑自行车(来自7项研究的8个结果)均显示可降低全因死亡率风险。对于每周11.25代谢当量·小时(或每周675代谢当量·分钟)的标准化剂量,步行使ACM风险降低11%(95%置信区间 = 从4%至17%),骑自行车使风险降低10%(95%置信区间 = 从6%至13%)。步行的估计值基于280,000名参与者和260万人年,骑自行车的估计值基于187,000名个体和210万人年。剂量反应关系的形状通过对三个暴露区间内汇总相对风险的荟萃分析进行建模。剂量反应分析表明,步行或骑自行车在第一个(最低)暴露区间对ACM风险的影响最大。

结论与启示

分析表明,即使在对其他PA进行调整后,步行和骑自行车对人群健康仍有益处。如果公共卫生方法能够提高这些活动水平最低群体的步行和骑自行车水平,将会产生最大影响。

综述注册

该综述方案已在PROSPERO(健康与社会保健领域前瞻性注册系统综述国际数据库)注册,注册号为PROSPERO 2013:CRD42013004266。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5d4/4262114/5013df072b78/12966_2014_132_Fig1_HTML.jpg

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