Longitudinal associations of active commuting with body mass index

Mytton, Oliver; Panter, Jenna; Ogilvie, David

doi:10.1016/j.ypmed.2016.06.014

Cited by 47 publications

(46 citation statements)

References 45 publications

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“…Equally those who transitioned from active to car commuting reported a significant increase in BMI. Mytton and colleagues 11 used two waves of data from the Commuting in Cambridge study to demonstrate that maintenance of cycle commuting was associated with lower BMI when compared with maintenance of sedentary commuting. However corroborative results were not found for walking 11 .…”

Section: Introductionmentioning

confidence: 99%

“…Mytton and colleagues 11 used two waves of data from the Commuting in Cambridge study to demonstrate that maintenance of cycle commuting was associated with lower BMI when compared with maintenance of sedentary commuting. However corroborative results were not found for walking 11 . The protective effects of cycle commuting have also been reported for schoolchildren 12 .…”

Section: Introductionmentioning

confidence: 99%

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Change in commute mode and body-mass index: prospective, longitudinal evidence from UK Biobank

Flint

Webb

Cummins

2016

The Lancet Public Health

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SummaryBackgroundInsufficient physical activity is a determinant of obesity and cardiovascular disease. Active travel to work has declined in high-income countries in recent decades. We aimed to determine which socioeconomic and demographic characteristics predicted switching to or from active commuting, whether switching from passive to active commuting (or the reverse) independently predicts change in objectively measured body-mass index (BMI), and to ascertain whether any association is attenuated by socioeconomic, demographic, or behavioural factors.MethodsThis study used longitudinal data from UK Biobank. Baseline data collection occurred at 22 centres between March, 2006, and July, 2010, with a repeat assessment at one centre (Stockport) between August, 2012, and June, 2013, for a subset of these participants. Height and weight were objectively measured at both timepoints. We included individuals present at both timepoints with complete data in the analytic sample. Participants were aged 40–69 years and commuted from home to a workplace on a regular basis at both baseline and follow-up. Two exposures were investigated: transition from car commuting to active or public transport commuting and transition from active or public transport to car commuting. Change in BMI between baseline and repeat assessment was the outcome of interest, assessed with bivariate and multivariate logistic regression models.Findings502 656 individuals provided baseline data, with 20 346 participating in the repeat assessment after a median of 4·4 years (IQR 3·7–4·9). 5861 individuals were present at both timepoints and had complete data for all analytic variables. Individuals who transitioned from car commuting at baseline to active or public transportation modes at follow-up had a decrease in BMI of −0·30 kg/m2 (95% CI −0·47 to −0·13; p=0·0005). Conversely, individuals who transitioned from active commuting at baseline to car commuting at follow-up had a BMI increase of 0·32 kg/m2 (0·13 to 0·50; p=0·008). These effects were not attenuated by adjustment for hypothesised confounders. Change in household income emerged as a determinant of commute mode transitions.InterpretationIncorporation of increased levels of physical activity as part of the commute to work could reduce obesity among middle-aged adults in the UK.FundingUK Medical Research Council.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Change in commute mode and body-mass index: prospective, longitudinal evidence from UK Biobank

Flint

Webb

Cummins

2016

The Lancet Public Health

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“…DM was not associated with OA in either gender in this study. Overweight status has been shown to be strongly associated with OA, and physical activity tends to lower BMI [29,30]. Therefore, the fact that the green and blue collar occupations involved higher levels of physical activity may have influenced the results of this study.…”

Section: Discussionmentioning

confidence: 96%

The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study

et al. 2017

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Osteoarthritis (OA) is a considerable health problem worldwide. It is known to be associated with certain occupational risk factors. We examined the prevalence rate of OA by occupational cluster. Data were collected from the Korea National Health and Nutrition Examination Surveys (2010–2013). The total number of unweighted sample size was 9,905 participants: 4,460 men and 5,445 women, and OA prevalence was 5.3% and 18.4% respectively. OA patients were defined as participants with knee/hip joint pain and radiographic change of knee/hip joint. Occupational type was classified as either white, pink, blue, or green collar based on the occupational characteristics following physical demand: white for manager and professionals; pink for clerks and service/sales workers; blue for craft/trade workers, machine operators and assemblers, and elementary manual workers; and green for agricultural/fishery workers. We calculated the odds ratios (ORs) and 95% confidence intervals (95% CI) for the odds of a participant’s having OA according to the occupational cluster, with gender stratification. The multiple logistic regression model showed that, compared to the white collar group, the ORs of the pink, blue, and green collar workers were 1.23 (95% CI 0.64–2.36), 1.85 (95% CI 1.18–2.88), and 2.91 (95% CI 1.86–4.54), respectively, in males, and 2.53 (95% CI 1.71–3.73), 2.86 (95% CI 1.94–4.21), and 3.90 (95% CI 2.60–5.83), respectively in females. The prevalence rate of OA was associated with the occupational cluster, in order from highest to lowest: green, blue, pink, and white collar.

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“…Data from the Nurses' Health Study showed a 16-year association of increase in walking and cycling with lower weight gain over time in premenopausal women [28], while another recent 3-year longitudinal study did not find such association [29]. In a nationally representative survey of UK residents (n = 12,796), Laverty et al [30] found negative associations for walking and cycling to work (assessed separately) with both BMI and likelihood of overweight or obesity.…”

Section: Discussionmentioning

confidence: 99%

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

Menai¹,

Charreire²,

Galán³

et al. 2018

Obes Facts

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Background: Research on the associations between walking and cycling with obesity-related phenotypes is growing but relies mostly on the use of BMI. The purpose of this study was to analyze associations of walking and cycling behaviors assessed separately with various obesity markers in French adults. Methods: In 12,776 adult participants (71.3% women) of the on-going NutriNet Santé web-cohort, we assessed by self-report past-month walking and cycling (for commuting, errands and leisure), and obesity measures were taken during a visit at a clinical center (weight, height, waist circumference, and percent body fat by bioimpedance). Results: In analyses not taking into account other types of physical activity (household, leisure), walking more than 2.5 h/week was associated in women with lower weight (-1.8 kg), waist circumference (-1.7 cm) and percent body fat (-1.1%) (all p < 0.001). Cycling more than 1.5 h/week was associated in men and women with lower weight (-4.3 and -1.4 kg, respectively), waist circumference (-4.4 and -2.1 cm, respectively), and percent body fat (-2.5 and -1.9 % respectively) (all p < 0.001). Results were unaltered when analyses were further adjusted on household and leisure physical activity. Conclusion: These results show important differences between walking and cycling in their association with obesity markers in men and women. These findings provide some evidence for the need to consider separately walking and cycling when designing public health measures for prevention of obesity in adults.

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Longitudinal associations of active commuting with body mass index

Cited by 47 publications

References 45 publications

Change in commute mode and body-mass index: prospective, longitudinal evidence from UK Biobank

Change in commute mode and body-mass index: prospective, longitudinal evidence from UK Biobank

The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study

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

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