Amount and intensity of daily total physical activity, step count and risk of incident cancer in the UK Biobank

Abstract

Objectives To investigate associations between daily physical activity, activity intensity and step counts with incident cancer risk. Methods Prospective analysis of UK Biobank participants who wore wrist-based accelerometers for 7 days, followed for cancer incidence (mean follow-up 5.8 years, SD 1.3). Time-series machine-learning models derived total physical activity, sedentary behaviour (SB), light-intensity physical activity (LIPA), moderate-vigorous-intensity physical activity (MVPA) and step counts. The outcome was a composite of 13 cancers previously associated with low physical activity in questionnaire-based studies. Cox proportional hazard models estimated HRs and 95% CIs, adjusted for demographic, health and lifestyle factors. We also explored associations of LIPA, MVPA and SB with cancer risk. Results Among 85 394 participants (median age 63 (IQR 56–68)), 2633 were diagnosed with cancer during follow-up. Compared with individuals in the lowest quintile of total physical activity (<21.6 milligravity units), those in the highest (34.3+) had a 26% lower cancer risk (HR=0.74 (95% CI 0.65 to 0.84)). After mutual adjustment, LIPA (HR=0.94 (95% CI 0.90 to 0.98)) and MVPA (HR=0.87 (95% CI 0.79 to 0.94)) were associated with lower risk, but SB was not. Similar associations were observed for substituting 1 hour/day of SB with LIPA or MVPA. Daily step counts were inversely associated with cancer, with the dose-response beginning to plateau at around 9 000 steps/day (HR=0.89 (95% CI 0.83 to 0.96) 7000 vs 5000 steps; HR=0.84 (95% CI 0.76 to 0.93) 9000 vs 5000 steps). There was no significant association between stepping intensity (peak 30-minute cadence) and cancer after adjusting for step count. Conclusion Total physical activity, LIPA, MVPA and step counts were inversely associated with incident cancer. Data may be obtained from a third party and are not publicly available. This research was conducted using the UK Biobank Resource under Application Number 59070. Data are accessible through the UK Biobank following an application process and approval from the UK Biobank Research Ethics Committee.