Literature DB >> 26995106

Active commuting and obesity in mid-life: cross-sectional, observational evidence from UK Biobank.

Ellen Flint1, Steven Cummins2.   

Abstract

BACKGROUND: Physical inactivity is a leading cause of obesity and premature mortality. We aimed to examine the relation between active commuting and obesity in mid-life using objectively measured anthropometric data from UK Biobank.
METHODS: Cross-sectional, observational data from UK Biobank were used. These were collected from individuals aged 40-69 years who visited 22 assessment centres across the UK between 2006 and 2010. Self-reported commuting method was operationalised into seven categories, ordered to reflect typical levels of physical exertion. The outcomes assessed were BMI (based on objectively measured weight and height) and percentage body fat. Hypothesised confounders were income, area deprivation, urban or rural residence, education, alcohol intake, smoking, leisure physical activity, recreational walking, occupational physical activity, general health, and limiting illness or disability. We used sex-stratified multivariate linear-regression models.
FINDINGS: Final complete case sample sizes were 72 999 men and 83 667 women for the BMI outcome and 72 139 men and 82 788 women for the percentage body fat outcome. Active commuting was significantly and independently associated with reduced BMI and percentage body fat for both sexes, with a graded pattern apparent across the seven commuting categories. In fully adjusted models, compared with their car-only counterparts, mixed public and active transport commuters had significantly lower BMI (men: β coefficient -1·00 kg/m(2) [95% CI -1·14 to -0·87], p<0·0001; women: -0·67 kg/m(2) [-0·86 to -0·47], p<0·0001), as did cycling or cycling and walking commuters (men: -1·71 kg/m(2) [95% CI -1·86 to -1·56], p<0·0001; women: -1·65 kg/m(2) [-1·92 to -1·38], p<0·0001). Similarly, compared with car-only commuters, mixed public transport and active commuters had significantly lower percentage body fat (men: -1·32% [95% CI -1·53 to -1·12], p<0·0001; women: -1·10% [-1·40 to -0·81], p<0·0001), as did cycling or cycling and walking commuters (men: -2·75% [95% CI -3·03 to -2·48], p<0·0001; women: -3·26% [-3·80 to -2·71], p<0·0001).
INTERPRETATION: This study is the first to use UK Biobank data to address the topic of active commuting and obesity and shows robust, independent associations between active commuting and healthier bodyweight and composition. These findings support the case for interventions to promote active travel as a population-level policy response for prevention of obesity in mid-life. FUNDING: UK Medical Research Council.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 26995106     DOI: 10.1016/S2213-8587(16)00053-X

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  40 in total

1.  Exercise and trainability: contexts and consequences.

Authors:  Michael J Joyner
Journal:  J Physiol       Date:  2017-02-17       Impact factor: 5.182

Review 2.  Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms.

Authors:  Frank W Booth; Christian K Roberts; John P Thyfault; Gregory N Ruegsegger; Ryan G Toedebusch
Journal:  Physiol Rev       Date:  2017-10-01       Impact factor: 37.312

3.  Differential Associations of Walking and Cycling with Body Weight, Body Fat and Fat Distribution - the ACTI-Cités Project.

Authors:  Mehdi Menai; Hélène Charreire; Pilar Galan; Chantal Simon; Julie-Anne Nazare; Camille Perchoux; Christiane Weber; Christophe Enaux; Serge Hercberg; Léopold Fezeu; Jean-Michel Oppert
Journal:  Obes Facts       Date:  2018-06-22       Impact factor: 3.942

4. 

Authors:  Samantha Green; Peter Sakuls; Sarah Levitt
Journal:  Can Fam Physician       Date:  2021-10       Impact factor: 3.275

5.  Effects of active commuting and leisure-time exercise on fat loss in women and men with overweight and obesity: a randomized controlled trial.

Authors:  J S Quist; M Rosenkilde; M B Petersen; A S Gram; A Sjödin; B Stallknecht
Journal:  Int J Obes (Lond)       Date:  2017-10-10       Impact factor: 5.095

6.  Do physical activity, commuting mode, cardiorespiratory fitness and sedentary behaviours modify the genetic predisposition to higher BMI? Findings from a UK Biobank study.

Authors:  Jill Pell; Naveed Sattar; Jason M R Gill; Stuart R Gray; Carlos A Celis-Morales; Donald M Lyall; Fanny Petermann; Jana Anderson; Joey Ward; Stamatina Iliodromiti; Daniel F Mackay; Paul Welsh; Mark E S Bailey
Journal:  Int J Obes (Lond)       Date:  2019-06-05       Impact factor: 5.095

7.  Finding and using routine clinical datasets for observational research and quality improvement.

Authors:  Lucy McDonnell; Brendan C Delaney; Frank Sullivan
Journal:  Br J Gen Pract       Date:  2018-03       Impact factor: 5.386

8.  Associations of active commuting with body fat and visceral adipose tissue: A cross-sectional population based study in the UK.

Authors:  Oliver T Mytton; David Ogilvie; Simon Griffin; Søren Brage; Nick Wareham; Jenna Panter
Journal:  Prev Med       Date:  2017-10-10       Impact factor: 4.018

9.  From cars to bikes - the feasibility and effect of using e-bikes, longtail bikes and traditional bikes for transportation among parents of children attending kindergarten: design of a randomized cross-over trial.

Authors:  Helga Birgit Bjørnarå; Sveinung Berntsen; Saskia J Te Velde; Liv Fegran; Aslak Fyhri; Benedicte Deforche; Lars Bo Andersen; Elling Bere
Journal:  BMC Public Health       Date:  2017-12-28       Impact factor: 3.295

10.  Active commuting and the risk of obesity, hypertension and diabetes: a systematic review and meta-analysis of observational studies.

Authors:  Jian Wu; Quanman Li; Yu Feng; Soumitra S Bhuyan; Clifford Silver Tarimo; Xin Zeng; Cuiping Wu; Ning Chen; Yudong Miao
Journal:  BMJ Glob Health       Date:  2021-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.