Yerramalla Manasa Shanta, Chen Mathilde, Dugravot Aline, van Hees Vincent, Sabia Severine. 2024. Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: A prospective cohort study of British older adults. BMJ Open Sport and Exercise Medicine, 10 (2):e001873, 25 p.
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Url - autres données associées : https://github.com/MathildeChen/PCA-K-means-for-PA-features
Résumé : Objectives: We identified profiles of wake-time movement behaviours (sedentary behaviours, light intensity physical activity and moderate-to-vigorous physical activity) based on accelerometer-derived features among older adults and then examined their association with all-cause mortality. Methods: Data were drawn from a prospective cohort of 3991 Whitehall II accelerometer substudy participants aged 60–83 years in 2012–2013. Daily movement behaviour profiles were identified using k-means cluster analysis based on 13 accelerometer-assessed features characterising total duration, frequency, bout duration, timing and activity intensity distribution of movement behaviour. Cox regression models were used to assess the association between derived profiles and mortality risk. Results: Over a mean follow-up of 8.1 (SD 1.3) years, a total of 410 deaths were recorded. Five distinct profiles were identified and labelled as 'active' (healthiest), 'active sitters', 'light movers', 'prolonged sitters', and 'most sedentary' (most deleterious). In model adjusted for sociodemographic, lifestyle, and health-related factors, compared with the 'active' profile, 'active sitters' (HR 1.57, 95% CI 1.01 to 2.44), 'light movers' (HR 1.75, 95% CI 1.17 to 2.63), 'prolonged sitters' (HR 1.67, 95% CI 1.11 to 2.51), 'most sedentary' (HR 3.25, 95% CI 2.10 to 5.02) profiles were all associated with a higher risk of mortality. Conclusion: Given the threefold higher mortality risk among those with a 'most sedentary' profile, public health interventions may target this group wherein any improvement in physical activity and sedentary behaviour might be beneficial.
Mots-clés Agrovoc : facteur de risque, mortalité, accéléromètre, santé publique, analyse du risque, méthode statistique, cause de mortalité, activité physique, mouvement
Mots-clés libres : Accelerometer, Aging, Epidemiology, Physical activity, Sedentary
Classification Agris : S50 - Santé humaine
Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes
Agences de financement européennes : European Commission, European Research Council
Agences de financement hors UE : National Institute on Aging, Medical Research Council, British Heart Foundation, Wellcome Trust, Agence Nationale de la Recherche
Projets sur financement : (FRA) Rôle de l'intensité, de la durée et des profils d'activité physique mesurés par accéléromètres pour la santé cardiométabolique, (EU) RHYTHM IN DEMENTIA
Auteurs et affiliations
- Yerramalla Manasa Shanta, Université Paris-Cité (FRA)
- Chen Mathilde, CIRAD-BIOS-UMR PHIM (FRA)
- Dugravot Aline, Université Paris-Cité (FRA)
- van Hees Vincent
- Sabia Severine, University College London (GBR) - auteur correspondant
Source : Cirad-Agritrop (https://agritrop.cirad.fr/610080/)
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