Physical activity of UK adults with chronic disease: cross-sectional analysis of accelerometer-measured physical activity in 96 706 UK Biobank participants

Joseph Barker, Karl Smith Byrne, Aiden Doherty, Charlie Foster, Kazem Rahimi, Rema Ramakrishnan, Mark Woodward, Terence Dwyer, Joseph Barker, Karl Smith Byrne, Aiden Doherty, Charlie Foster, Kazem Rahimi, Rema Ramakrishnan, Mark Woodward, Terence Dwyer

Abstract

Background: Physical inactivity is associated with an increased risk of major chronic diseases, although uncertainty exists about which chronic diseases, themselves, might contribute to physical inactivity. The objective of this study was to compare the physical activity of those with chronic diseases to healthy individuals using an objective measure of physical activity.

Methods: We conducted a cross-sectional analysis of data from 96 706 participants aged 40 years or older from the UK Biobank prospective cohort study (2006-10). Diagnoses were identified through ICD 9 and 10 coding within hospital admission records and a cancer registry linked to UK Biobank participants. We extracted summary physical activity information from participants who wore a wrist-worn triaxial accelerometer for 7 days. Statistical analyses included computation of adjusted geometric means and means using general linear models.

Results: Participants with chronic disease undertook 9% or 61 minutes (95% confidence interval: 57.8-64.8) less moderate activity and 11% or 3 minutes (95% confidence interval: 2.7-3.3) less vigorous activity per week than individuals without chronic disease. Participants in every chronic-disease subgroup undertook less physical activity than those without chronic disease. Sixty-seven diagnoses within these subgroups were associated with lower moderate activity.

Conclusions: The cross-sectional association of physical activity with chronic disease is broad. Given the substantial health benefits of being physically active, clinicians and policymakers should be aware that their patients with any chronic disease are at greater health risk from other diseases than anticipated because of their physical inactivity.

Keywords: Physical activity; accelerometry; chronic disease.

© The Author(s) 2019. Published by Oxford University Press on behalf of the International Epidemiological Association.

Figures

Figure 1.
Figure 1.
Geometric mean moderate activity in minutes per week for participants with and without chronic diseases.
Figure 2.
Figure 2.
Geometric mean moderate activity in minutes per week for participants without chronic diseases and various chronic-disease subgroups.

References

    1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012;380:219–29.
    1. Healthy People 2020. US Department of Health and Human Services. Office of Disease Prevention and Health Promotion; Washington, DC: (14 January 2019, date last accessed).
    1. National Institute for Health and Care Excellence. Improving health and social care through evidence-based guidance—guidance and advice list 2018. type=apg, csg, cg, mpg, ph, sg, sc, dg, hst, ipg, mtg, qs, ta.
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act 2008;5:56.
    1. Buchowski MS. Doubly labeled water is a validated and verified reference standard in nutrition research. J Nutr 2014;144:573–74.
    1. Plasqui G, Westerterp KR. Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obesity (Silver Spring, MD) 2007;15:2371–79.
    1. Doherty A, Jackson D, Hammerla N, Plotz T, Olivier P, Granat MH. Large scale population assessment of physical activity using wrist worn accelerometers: the UK biobank study. PLoS One 2017;12:e0169649.
    1. Sudlow C, Gallacher J, Allen N et al. . UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 2015;12:e1001779.
    1. Littlejohns TJ, Sudlow C, Allen NE, Collins R. UK Biobank: opportunities for cardiovascular research. Eur Heart J 2017. doi: 10.1093/eurheartj/ehx254.
    1. Centers for Disease Control and Prevention. International Classification of Diseases, Ninth Revision (ICD-9). 2009. (14 January 2019, date last accessed).
    1. Centers for Disease Control and Prevention. International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). 2018.
    1. Hildebrand M, Van Hees VT, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sports Exerc 2014;46:1816–24.
    1. Townsend P. Deprivation. J Soc Pol 1987;16:125–46.
    1. Vogiatzis I, Zakynthinos G, Andrianopoulos V. Mechanisms of physical activity limitation in chronic lung diseases. Pulm Med 2012;2012:634761.
    1. Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ 2006;174:801–9.
    1. World Health Organization. Global Recommendations on Physical Activity for Health Switzerland 2010 .
    1. Matthews CE, Keadle SK, Troiano RP et al. . Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults. Am J Clin Nutr 2016;104:1424–32.
    1. Fry A, Littlejohns TJ, Sudlow C et al. . Comparison of sociodemographic and health-related characteristics of UK biobank participants with those of the general population. Am J Epidemiol 2017;186:1026–34.

Source: PubMed

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