Wearable accelerometer-derived physical activity and incident disease

Shaan Khurshid; Lu-Chen Weng; Victor Nauffal; James P Pirruccello; Rachael A Venn; Mostafa A Al-Alusi; Emelia J Benjamin; Patrick T Ellinor; Steven A Lubitz

doi:10.1038/s41746-022-00676-9

Wearable accelerometer-derived physical activity and incident disease

NPJ Digit Med. 2022 Sep 2;5(1):131. doi: 10.1038/s41746-022-00676-9.

Authors

Shaan Khurshid^{1

2

3}, Lu-Chen Weng^{1

2}, Victor Nauffal^{2

4}, James P Pirruccello^{1

2

5}, Rachael A Venn^{1

2

5}, Mostafa A Al-Alusi^{1

2

5}, Emelia J Benjamin^{6

7}, Patrick T Ellinor^{1

2

3}, Steven A Lubitz^{8

9

10}

Affiliations

¹ Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA.
² Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA.
³ Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA.
⁴ Division of Cardiology, Brigham and Women's Hospital, Boston, MA, USA.
⁵ Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.
⁶ Boston University School of Medicine and School of Public Health, Boston, MA, USA.
⁷ Framingham Heart Study, Framingham, MA, USA.
⁸ Cardiovascular Research Center, Massachusetts General Hospital, Boston MA, USA. slubitz@mgh.harvard.edu.
⁹ Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge MA, USA. slubitz@mgh.harvard.edu.
¹⁰ Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA. slubitz@mgh.harvard.edu.

Abstract

Physical activity is regarded as favorable to health but effects across the spectrum of human disease are poorly quantified. In contrast to self-reported measures, wearable accelerometers can provide more precise and reproducible activity quantification. Using wrist-worn accelerometry data from the UK Biobank prospective cohort study, we test associations between moderate-to-vigorous physical activity (MVPA) - both total MVPA minutes and whether MVPA is above a guideline-based threshold of ≥150 min/week-and incidence of 697 diseases using Cox proportional hazards models adjusted for age, sex, body mass index, smoking, Townsend Deprivation Index, educational attainment, diet quality, alcohol use, blood pressure, anti-hypertensive use. We correct for multiplicity at a false discovery rate of 1%. We perform analogous testing using self-reported MVPA. Among 96,244 adults wearing accelerometers for one week (age 62 ± 8 years), MVPA is associated with 373 (54%) tested diseases over a median 6.3 years of follow-up. Greater MVPA is overwhelmingly associated with lower disease risk (98% of associations) with hazard ratios (HRs) ranging 0.70-0.98 per 150 min increase in weekly MVPA, and associations spanning all 16 disease categories tested. Overall, associations with lower disease risk are enriched for cardiac (16%), digestive (14%), endocrine/metabolic (10%), and respiratory conditions (8%) (chi-square p < 0.01). Similar patterns are observed using the guideline-based threshold of ≥150 MVPA min/week. Some of the strongest associations with guideline-adherent activity include lower risks of incident heart failure (HR 0.65, 95% CI 0.55-0.77), type 2 diabetes (HR 0.64, 95% CI 0.58-0.71), cholelithiasis (HR 0.61, 95% CI 0.54-0.70), and chronic bronchitis (HR 0.42, 95% CI 0.33-0.54). When assessed within 456,374 individuals providing self-reported MVPA, effect sizes for guideline-adherent activity are substantially smaller (e.g., heart failure HR 0.84, 95% CI 0.80-0.88). Greater wearable device-based physical activity is robustly associated with lower disease incidence. Future studies are warranted to identify potential mechanisms linking physical activity and disease, and assess whether optimization of measured activity can reduce disease risk.

Abstract

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