Cargando…

Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey

BACKGROUND: Population levels of physical activity are far below recommendations limiting its public health benefits. Utility cycling (i.e. cycling for transport purposes) may be a means of increasing this activity. Empirical evidence quantifying the contribution of utility cycling to the population...

Descripción completa

Detalles Bibliográficos
Autores principales: Stewart, Glenn, Anokye, Nana Kwame, Pokhrel, Subhash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088795/
https://www.ncbi.nlm.nih.gov/pubmed/28158729
http://dx.doi.org/10.1093/pubmed/fdv182
_version_ 1783346904575246336
author Stewart, Glenn
Anokye, Nana Kwame
Pokhrel, Subhash
author_facet Stewart, Glenn
Anokye, Nana Kwame
Pokhrel, Subhash
author_sort Stewart, Glenn
collection PubMed
description BACKGROUND: Population levels of physical activity are far below recommendations limiting its public health benefits. Utility cycling (i.e. cycling for transport purposes) may be a means of increasing this activity. Empirical evidence quantifying the contribution of utility cycling to the population levels of physical activity is sparse. METHODS: The English Active People Survey (APS) was analysed to assess the likelihood of meeting UK physical activity guidelines in those who reported utility cycling compared with those who did not. Odds ratios were adjusted for important socioeconomic confounders using a logistic regression model. RESULTS: In the full sample, unadjusted odds ratio for meeting physical activity guidelines in favour of utility cyclists was 5.21 (95% confidence interval (CI) 4.96–5.47) and adjusted odds ratio was 4.08 (95% CI 3.88–4.29). The odds were even higher for utility cyclists in inner London [adjusted OR: 6.08 (4.07–7.86)]. The pattern was consistent regardless of the number of activities through which people met the physical activity guideline. CONCLUSION: Utility cycling can make a significant contribution to levels of physical activity. As an activity that can easily integrate into everyday life, utility cycling appears to be a pragmatic policy option for public health decision-makers.
format Online
Article
Text
id pubmed-6088795
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-60887952018-08-22 Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey Stewart, Glenn Anokye, Nana Kwame Pokhrel, Subhash J Public Health (Oxf) Original Article BACKGROUND: Population levels of physical activity are far below recommendations limiting its public health benefits. Utility cycling (i.e. cycling for transport purposes) may be a means of increasing this activity. Empirical evidence quantifying the contribution of utility cycling to the population levels of physical activity is sparse. METHODS: The English Active People Survey (APS) was analysed to assess the likelihood of meeting UK physical activity guidelines in those who reported utility cycling compared with those who did not. Odds ratios were adjusted for important socioeconomic confounders using a logistic regression model. RESULTS: In the full sample, unadjusted odds ratio for meeting physical activity guidelines in favour of utility cyclists was 5.21 (95% confidence interval (CI) 4.96–5.47) and adjusted odds ratio was 4.08 (95% CI 3.88–4.29). The odds were even higher for utility cyclists in inner London [adjusted OR: 6.08 (4.07–7.86)]. The pattern was consistent regardless of the number of activities through which people met the physical activity guideline. CONCLUSION: Utility cycling can make a significant contribution to levels of physical activity. As an activity that can easily integrate into everyday life, utility cycling appears to be a pragmatic policy option for public health decision-makers. Oxford University Press 2016-12 2017-02-02 /pmc/articles/PMC6088795/ /pubmed/28158729 http://dx.doi.org/10.1093/pubmed/fdv182 Text en © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Stewart, Glenn
Anokye, Nana Kwame
Pokhrel, Subhash
Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey
title Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey
title_full Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey
title_fullStr Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey
title_full_unstemmed Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey
title_short Quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the Active People Survey
title_sort quantifying the contribution of utility cycling to population levels of physical activity: an analysis of the active people survey
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088795/
https://www.ncbi.nlm.nih.gov/pubmed/28158729
http://dx.doi.org/10.1093/pubmed/fdv182
work_keys_str_mv AT stewartglenn quantifyingthecontributionofutilitycyclingtopopulationlevelsofphysicalactivityananalysisoftheactivepeoplesurvey
AT anokyenanakwame quantifyingthecontributionofutilitycyclingtopopulationlevelsofphysicalactivityananalysisoftheactivepeoplesurvey
AT pokhrelsubhash quantifyingthecontributionofutilitycyclingtopopulationlevelsofphysicalactivityananalysisoftheactivepeoplesurvey