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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

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 releva...

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Autores principales: Kelly, Paul, Kahlmeier, Sonja, Götschi, Thomas, Orsini, Nicola, Richards, Justin, Roberts, Nia, Scarborough, Peter, Foster, Charlie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262114/
https://www.ncbi.nlm.nih.gov/pubmed/25344355
http://dx.doi.org/10.1186/s12966-014-0132-x
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author Kelly, Paul
Kahlmeier, Sonja
Götschi, Thomas
Orsini, Nicola
Richards, Justin
Roberts, Nia
Scarborough, Peter
Foster, Charlie
author_facet Kelly, Paul
Kahlmeier, Sonja
Götschi, Thomas
Orsini, Nicola
Richards, Justin
Roberts, Nia
Scarborough, Peter
Foster, Charlie
author_sort Kelly, Paul
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: 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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spelling pubmed-42621142014-12-11 Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship Kelly, Paul Kahlmeier, Sonja Götschi, Thomas Orsini, Nicola Richards, Justin Roberts, Nia Scarborough, Peter Foster, Charlie Int J Behav Nutr Phys Act Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12966-014-0132-x) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-24 /pmc/articles/PMC4262114/ /pubmed/25344355 http://dx.doi.org/10.1186/s12966-014-0132-x Text en © Kelly et al.; licensee BioMed Central Ltd. 2014
spellingShingle Research
Kelly, Paul
Kahlmeier, Sonja
Götschi, Thomas
Orsini, Nicola
Richards, Justin
Roberts, Nia
Scarborough, Peter
Foster, Charlie
Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
title Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
title_full Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
title_fullStr Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
title_full_unstemmed Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
title_short Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
title_sort systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262114/
https://www.ncbi.nlm.nih.gov/pubmed/25344355
http://dx.doi.org/10.1186/s12966-014-0132-x
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