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Wearable accelerometer-derived physical activity and incident disease

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...

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Autores principales: Khurshid, Shaan, Weng, Lu-Chen, Nauffal, Victor, Pirruccello, James P., Venn, Rachael A., Al-Alusi, Mostafa A., Benjamin, Emelia J., Ellinor, Patrick T., Lubitz, Steven A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440134/
https://www.ncbi.nlm.nih.gov/pubmed/36056190
http://dx.doi.org/10.1038/s41746-022-00676-9
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author Khurshid, Shaan
Weng, Lu-Chen
Nauffal, Victor
Pirruccello, James P.
Venn, Rachael A.
Al-Alusi, Mostafa A.
Benjamin, Emelia J.
Ellinor, Patrick T.
Lubitz, Steven A.
author_facet Khurshid, Shaan
Weng, Lu-Chen
Nauffal, Victor
Pirruccello, James P.
Venn, Rachael A.
Al-Alusi, Mostafa A.
Benjamin, Emelia J.
Ellinor, Patrick T.
Lubitz, Steven A.
author_sort Khurshid, Shaan
collection PubMed
description 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.
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spelling pubmed-94401342022-09-04 Wearable accelerometer-derived physical activity and incident disease Khurshid, Shaan Weng, Lu-Chen Nauffal, Victor Pirruccello, James P. Venn, Rachael A. Al-Alusi, Mostafa A. Benjamin, Emelia J. Ellinor, Patrick T. Lubitz, Steven A. NPJ Digit Med Article 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. Nature Publishing Group UK 2022-09-02 /pmc/articles/PMC9440134/ /pubmed/36056190 http://dx.doi.org/10.1038/s41746-022-00676-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Khurshid, Shaan
Weng, Lu-Chen
Nauffal, Victor
Pirruccello, James P.
Venn, Rachael A.
Al-Alusi, Mostafa A.
Benjamin, Emelia J.
Ellinor, Patrick T.
Lubitz, Steven A.
Wearable accelerometer-derived physical activity and incident disease
title Wearable accelerometer-derived physical activity and incident disease
title_full Wearable accelerometer-derived physical activity and incident disease
title_fullStr Wearable accelerometer-derived physical activity and incident disease
title_full_unstemmed Wearable accelerometer-derived physical activity and incident disease
title_short Wearable accelerometer-derived physical activity and incident disease
title_sort wearable accelerometer-derived physical activity and incident disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440134/
https://www.ncbi.nlm.nih.gov/pubmed/36056190
http://dx.doi.org/10.1038/s41746-022-00676-9
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