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Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults

BACKGROUND: There is little published data on the potential health benefits of active travel in low and middle-income countries. This is despite increasing levels of adiposity being linked to increases in physical inactivity and non-communicable diseases. This study will examine: (1) socio-demograph...

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Autores principales: Laverty, Anthony A., Palladino, Raffaele, Lee, John Tayu, Millett, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443597/
https://www.ncbi.nlm.nih.gov/pubmed/25986001
http://dx.doi.org/10.1186/s12966-015-0223-3
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author Laverty, Anthony A.
Palladino, Raffaele
Lee, John Tayu
Millett, Christopher
author_facet Laverty, Anthony A.
Palladino, Raffaele
Lee, John Tayu
Millett, Christopher
author_sort Laverty, Anthony A.
collection PubMed
description BACKGROUND: There is little published data on the potential health benefits of active travel in low and middle-income countries. This is despite increasing levels of adiposity being linked to increases in physical inactivity and non-communicable diseases. This study will examine: (1) socio-demographic correlates of using active travel (walking or cycling for transport) among older adults in six populous middle-income countries (2) whether use of active travel is associated with adiposity, systolic blood pressure and self-reported diabetes in these countries. METHODS: Data are from the WHO Study on Global Ageing and Adult Health (SAGE) of China, India, Mexico, Ghana, Russia and South Africa with a total sample size of 40,477. Correlates of active travel (≥150 min/week) were examined using logistic regression. Logistic and linear regression analyses were used to examine health related outcomes according to three groups of active travel use per week. RESULTS: 46.4 % of the sample undertook ≥150 min of active travel per week (range South Africa: 21.9 % Ghana: 57.8 %). In pooled analyses those in wealthier households were less likely to meet this level of active travel (Adjusted Risk Ratio (ARR) 0.77, 95 % Confidence Intervals 0.67; 0.88 wealthiest fifth vs. poorest). Older people and women were also less likely to use active travel for ≥150 min per week (ARR 0.71, 0.62; 0.80 those aged 70+ years vs. 18–29 years old, ARR 0.82, 0.74; 0.91 women vs. men). In pooled fully adjusted analyses, high use of active travel was associated with lower risk of overweight (ARR 0.71, 0.59; 0.86), high waist-to-hip ratio (ARR 0.71, 0.61; 0.84) and lower BMI (−0.54 kg/m(2), −0.98;− 0.11). Moderate (31–209 min/week) and high use (≥210 min/week) of active travel was associated with lower waist circumference (−1.52 cm (−2.40; −0.65) and −2.16 cm (3.07; −1.26)), and lower systolic blood pressure (−1.63 mm/Hg (−3.19; −0.06) and −2.33 mm/Hg (−3.98; −0.69)). CONCLUSIONS: In middle-income countries use of active travel for ≥150 min per week is more common in lower socio-economic groups and appears to confer similar health benefits to those identified in high-income settings. Efforts to increase active travel levels should be integral to strategies to maintain healthy weight and reduce disease burden in these settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12966-015-0223-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-44435972015-05-27 Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults Laverty, Anthony A. Palladino, Raffaele Lee, John Tayu Millett, Christopher Int J Behav Nutr Phys Act Research BACKGROUND: There is little published data on the potential health benefits of active travel in low and middle-income countries. This is despite increasing levels of adiposity being linked to increases in physical inactivity and non-communicable diseases. This study will examine: (1) socio-demographic correlates of using active travel (walking or cycling for transport) among older adults in six populous middle-income countries (2) whether use of active travel is associated with adiposity, systolic blood pressure and self-reported diabetes in these countries. METHODS: Data are from the WHO Study on Global Ageing and Adult Health (SAGE) of China, India, Mexico, Ghana, Russia and South Africa with a total sample size of 40,477. Correlates of active travel (≥150 min/week) were examined using logistic regression. Logistic and linear regression analyses were used to examine health related outcomes according to three groups of active travel use per week. RESULTS: 46.4 % of the sample undertook ≥150 min of active travel per week (range South Africa: 21.9 % Ghana: 57.8 %). In pooled analyses those in wealthier households were less likely to meet this level of active travel (Adjusted Risk Ratio (ARR) 0.77, 95 % Confidence Intervals 0.67; 0.88 wealthiest fifth vs. poorest). Older people and women were also less likely to use active travel for ≥150 min per week (ARR 0.71, 0.62; 0.80 those aged 70+ years vs. 18–29 years old, ARR 0.82, 0.74; 0.91 women vs. men). In pooled fully adjusted analyses, high use of active travel was associated with lower risk of overweight (ARR 0.71, 0.59; 0.86), high waist-to-hip ratio (ARR 0.71, 0.61; 0.84) and lower BMI (−0.54 kg/m(2), −0.98;− 0.11). Moderate (31–209 min/week) and high use (≥210 min/week) of active travel was associated with lower waist circumference (−1.52 cm (−2.40; −0.65) and −2.16 cm (3.07; −1.26)), and lower systolic blood pressure (−1.63 mm/Hg (−3.19; −0.06) and −2.33 mm/Hg (−3.98; −0.69)). CONCLUSIONS: In middle-income countries use of active travel for ≥150 min per week is more common in lower socio-economic groups and appears to confer similar health benefits to those identified in high-income settings. Efforts to increase active travel levels should be integral to strategies to maintain healthy weight and reduce disease burden in these settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12966-015-0223-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-20 /pmc/articles/PMC4443597/ /pubmed/25986001 http://dx.doi.org/10.1186/s12966-015-0223-3 Text en © Laverty et al.; licensee BioMed Central. 2015 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Laverty, Anthony A.
Palladino, Raffaele
Lee, John Tayu
Millett, Christopher
Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
title Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
title_full Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
title_fullStr Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
title_full_unstemmed Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
title_short Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
title_sort associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443597/
https://www.ncbi.nlm.nih.gov/pubmed/25986001
http://dx.doi.org/10.1186/s12966-015-0223-3
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