Interplay between physical activity volume and intensity with modeled life expectancy in women and men: A prospective cohort analysis.

Life expectancy Physical activity intensity Physical activity volume Survival Walking

Journal

Journal of sport and health science
ISSN: 2213-2961
Titre abrégé: J Sport Health Sci
Pays: China
ID NLM: 101606001

Informations de publication

Date de publication:
22 Aug 2024
Historique:
received: 13 01 2024
revised: 29 04 2024
accepted: 07 06 2024
medline: 26 8 2024
pubmed: 26 8 2024
entrez: 24 8 2024
Statut: aheadofprint

Résumé

There is a lack of research examining the interplay between objectively measured physical activity volume and intensity with life expectancy. Individuals from UK Biobank with wrist-worn accelerometer data were included. The average acceleration and intensity gradient were extracted to describe the physical activity volume and intensity profile. Mortality data were obtained from national registries. Adjusted life expectancies were estimated using parametric flexible survival models. 40,953 (57.1%) women (median age = 61.9 years) and 30,820 (42.9%) men (63.1 years) were included. Over a median follow-up of 6.9 years, there were 1719 (2.4%) deaths (733 in women; 986 in men). At 60 years, life expectancy was progressively longer for higher physical activity volume and intensity profiles, reaching 95.6 years in women and 94.5 years in men at the 90th centile for both volume and intensity, corresponding to 3.4 (95% confidence interval (95%CI): 2.4-4.4) additional years in women and 4.6 (95%CI: 3.6-5.6) additional years in men compared to those at the 10th centiles. An additional 10-min or 30-min daily brisk walk was associated with 0.9 (95%CI: 0.5-1.3) and 1.4 (95%CI: 0.9-1.9) years longer life expectancy, respectively, in inactive women; and 1.4 (95%CI: 1.0-1.8) and 2.5 (95%CI: 1.9-3.1) years in inactive men. Higher physical activity volumes were associated with longer life expectancy, with a higher physical activity intensity profile further adding to a longer life. Adding as little as a 10-min brisk walk to daily activity patterns may result in a meaningful benefit to life expectancy.

Sections du résumé

BACKGROUND BACKGROUND
There is a lack of research examining the interplay between objectively measured physical activity volume and intensity with life expectancy.
METHODS METHODS
Individuals from UK Biobank with wrist-worn accelerometer data were included. The average acceleration and intensity gradient were extracted to describe the physical activity volume and intensity profile. Mortality data were obtained from national registries. Adjusted life expectancies were estimated using parametric flexible survival models.
RESULTS RESULTS
40,953 (57.1%) women (median age = 61.9 years) and 30,820 (42.9%) men (63.1 years) were included. Over a median follow-up of 6.9 years, there were 1719 (2.4%) deaths (733 in women; 986 in men). At 60 years, life expectancy was progressively longer for higher physical activity volume and intensity profiles, reaching 95.6 years in women and 94.5 years in men at the 90th centile for both volume and intensity, corresponding to 3.4 (95% confidence interval (95%CI): 2.4-4.4) additional years in women and 4.6 (95%CI: 3.6-5.6) additional years in men compared to those at the 10th centiles. An additional 10-min or 30-min daily brisk walk was associated with 0.9 (95%CI: 0.5-1.3) and 1.4 (95%CI: 0.9-1.9) years longer life expectancy, respectively, in inactive women; and 1.4 (95%CI: 1.0-1.8) and 2.5 (95%CI: 1.9-3.1) years in inactive men.
CONCLUSION CONCLUSIONS
Higher physical activity volumes were associated with longer life expectancy, with a higher physical activity intensity profile further adding to a longer life. Adding as little as a 10-min brisk walk to daily activity patterns may result in a meaningful benefit to life expectancy.

Identifiants

pubmed: 39181446
pii: S2095-2546(24)00126-1
doi: 10.1016/j.jshs.2024.100970
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100970

Informations de copyright

Copyright © 2024. Production and hosting by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no other competing interests.

Auteurs

Francesco Zaccardi (F)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.

Alex V Rowlands (AV)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.

Paddy C Dempsey (PC)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia.

Cameron Razieh (C)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.

Joe Henson (J)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.

Jonathan Goldney (J)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.

Benjamin D Maylor (BD)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.

Atanu Bhattacharjee (A)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.

Yogini Chudasama (Y)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.

Charlotte Edwardson (C)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.

Jari A Laukkanen (JA)

Department of Medicine, Central Finland Health Care Hospital District, 40620 Jyväskylä, Finland; Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, 70210 Kuopio, Finland; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland.

Ulf Ekelund (U)

Department of Sports Medicine, Norwegian School of Sports Sciences, 0863 Oslo, Norway; Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, 0473 Oslo, Norway.

Melanie J Davies (MJ)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.

Kamlesh Khunti (K)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Applied Research Collaborations East Midlands, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.

Thomas Yates (T)

Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK. Electronic address: Ty20@le.ac.uk.

Classifications MeSH