The association between driving time and unhealthy lifestyles: a cross-sectional, general population study of 386 493 UK Biobank participants

The objective of this study was to perform a cross-sectional study of UK Biobank participants on the relationship between driving time and sedentary, unhealthy lifestyles. The variables examined included daily driving time, smoking status, alcohol consumption, physical activity, food consumption, sleep adequacy, body mass index, and sociodemographic characteristics. Various statistical analyses were run on the variables, including a chi-square test for binary variables, Spearman's rank order correlation for other categorical variables, and the Kruskal Wallis test for continuous variables. Binary logistic regression models were run using lifestyle factors as dependent variables. The results showed that long driving times were associated with less physical activity and more time watching television or using a computer. These factors were also associated with other lifestyle risk factors, including smoking, higher body fat, low consumption of fruits and vegetables, and short sleep duration. It is concluded that people with long driving times have higher health risks and might benefit from focused health-related programs.

Language

  • English

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  • Accession Number: 01767573
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jan 27 2021 5:16PM