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

机译:步行和骑自行车全因死亡率降低以及剂量反应关系的形状的系统评价和荟萃分析

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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.
机译:背景和目的步行和骑自行车已显示出对人群全因死亡率(ACM)风险的有益影响。本文旨在审查证据并量化这些影响,并针对其他身体活动(PA)进行调整。数据来源我们进行了系统的审查,以确定相关的研究。搜索是在2013年11月使用以下出版物的健康数据库进行的:Embase(OvidSP); Medline(OvidSP);知识网; CINAHL;配镜体育讨论。我们还搜索了相关文本和评论的参考列表。研究资格标准和参与者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的暴露程度和死亡率。只有在基线时健康的个体队列才被认为是合格的。研究评估和综合方法提取的数据包括研究人口和地点,样本量,人口特征(年龄和性别),多年随访,步行或骑自行车暴露,死亡率结果以及对其他协变量的调整。我们使用随机效应荟萃分析来研究常规步行和骑自行车的有益影响。结果步行(从14项研究得出18项结果)和骑自行车(从7项研究得出8项结果)被证明可以降低全因死亡率(针对其他PA进行调整)。对于每周11.25 MET.hour(或每周675 MET.minutes)的标准剂量,行走的ACM风险降低为11%(95%CI = 4至17%),而步行的ACM风险降低为10%(95%CI = 6至13%)。步行的估计数基于280,000名参与者和260万人年的自行车运动,而自行车的估计数则基于187,000名个人和210万人年的信息。通过对三个暴露间隔内合并相对风险的荟萃分析,建立了剂量反应关系的模型。剂量反应分析表明,步行或骑自行车对第一个(最低)暴露间隔的ACM风险影响最大。结论和意义分析表明,即使对其他PA进行调整后,步行和骑自行车也具有人口水平的健康益处。如果公共卫生方法能够提高活动水平最低的人群的步行和骑自行车水平,那么它们将产生最大的影响。审查注册审查方案已在PROSPERO(健康和社会护理中预期注册的系统审查国际数据库)PROSPERO 2013中注册:CRD42013004266。

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