ArticleThe international journal of behavioral nutrition and physical activity2020
Estimating physical activity from self-reported behaviours in large-scale population studies using network harmonisation: findings from UK Biobank and associations with disease outcomes.
Article in The international journal of behavioral nutrition and physical activity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Adherence to a lower versus higher intensity physical activity intervention in the Breast Cancer & Physical Activity Level (BC-PAL) Trial.Journal of cancer survivorship : research and practice · 2022Trial
- Non-genetic risk factors associated with glenohumeral osteoarthritis-related shoulder arthroplasty.Osteoarthritis and cartilage open · 2026Article
- Anthropometric traits, metabolic biomarkers, and pancreatic cancer risk: a causal mediation analysis in UK Biobank.British journal of cancer · 2026Article
- Healthy lifestyle and related metabolomic signatures associated with decreased risk and delayed progression of type 2 diabetes mellitus transitions: a large prospective cohort study.Acta diabetologica · 2026Article
- Accelerometer-Measured Moderate-to-Vigorous Physical Activity and Cancer Risk: Dose-Response from Observational and Nonlinear Mendelian Randomization in UK Biobank.Healthcare (Basel, Switzerland) · 2026Article
- Physical activity and joint health: Implications for knee osteoarthritis disease pathophysiology and mechanics.Experimental physiology · 2026Review
- A prospective study of physical activity and cardiometabolic diseases in association with cancer risk.Communications medicine · 2026Article
- Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank.BMC medicine · 2024Article
- Prospective study design and data analysis in UK Biobank.Science translational medicine · 2024Review
- Article
- Triaxial accelerometer-measured physical activity and functional behaviours among people with High Grade Glioma: The BrainWear Study.PloS one · 2023Article
- The association between a lifestyle score, socioeconomic status, and COVID-19 outcomes within the UK Biobank cohort.BMC infectious diseases · 2022Article
- Risk/benefit tradeoff of habitual physical activity and air pollution on chronic pulmonary obstructive disease: findings from a large prospective cohort study.BMC medicine · 2022Article
- Clustering Accelerometer Activity Patterns from the UK Biobank Cohort.Sensors (Basel, Switzerland) · 2021Article
- Association between physical activity, grip strength and sedentary behaviour with incidence of malignant melanoma: results from the UK Biobank.British journal of cancer · 2021Article
- Physical activity self-reports: past or future?British journal of sports medicine · 2021Article
- Is occupational physical activity associated with mortality in UK Biobank?The international journal of behavioral nutrition and physical activity · 2021Article
- Physical activity is associated with reduced risk of liver disease in the prospective UK Biobank cohort.JHEP reports : innovation in hepatology · 2021Article
- Is Cohort Representativeness Passé? Poststratified Associations of Lifestyle Risk Factors with Mortality in the UK Biobank.Epidemiology (Cambridge, Mass.) · 2021Article
- Association of physical activity with dementia and cognitive decline in UK Biobank.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundUK Biobank is a large prospective cohort study containing accelerometer-based physical activity data with strong validity collected from 100,000 participants approximately 5 years after baseline. In contrast, the main cohort has multiple self-reported physical behaviours from > 500,000 participants with longer follow-up time, offering several epidemiological advantages. However, questionnaire methods typically suffer from greater measurement error, and at present there is no tested method for combining these diverse self-reported data to more comprehensively assess the overall dose of physical activity. This study aimed to use the accelerometry sub-cohort to calibrate the self-reported behavioural variables to produce a harmonised estimate of physical activity energy expenditure, and subsequently examine its reliability, validity, and associations with disease outcomes.
methodsWe calibrated 14 self-reported behavioural variables from the UK Biobank main cohort using the wrist accelerometry sub-cohort (n = 93,425), and used published equations to estimate physical activity energy expenditure (PAEE
resultsPAEE
conclusionsThe PAEE
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