1. Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults
- Author
-
Achille Edem Tchalla, C. Laubarie-Mouret, Sophie Boyer, Nassima Toumi, Réjean Hébert, Charlotte Bimou, Michel Harel, Caroline Gayot, Marion Charenton-Blavignac, Justine Trimouillas, Thierry Dantoine, Noëlle Cardinaud, Handicap, Activité, Vieillissement, Autonomie, Environnement (HAVAE), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), and Université de Limoges (UNILIM)-Université de Limoges (UNILIM)
- Subjects
Gerontology ,Activities of daily living ,media_common.quotation_subject ,[SDV]Life Sciences [q-bio] ,Trajectory ,lcsh:Geriatrics ,Semi-parametric model ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,MESH: Aged, 80 and over ,Functional decline ,Activities of Daily Living ,medicine ,Humans ,030212 general & internal medicine ,Prospective Studies ,Socioeconomic status ,MESH: Cohort Studies ,media_common ,Multinomial logistic regression ,Aged ,Aged, 80 and over ,MESH: Aged ,MESH: Humans ,business.industry ,Prevention ,Cognitive disorder ,MESH: Activities of Daily Living ,Independence ,medicine.disease ,MESH: Prospective Studies ,lcsh:RC952-954.6 ,MESH: Cognition Disorders ,MESH: Independent Living ,Older adults ,Cohort ,Observational study ,Independent Living ,Optimal number of groups ,Geriatrics and Gerontology ,business ,Cognition Disorders ,030217 neurology & neurosurgery ,Autonomy ,Research Article - Abstract
Background Independence is related to the aging process. Loss of independence is defined as the inability to make decisions and participate in activities of daily living (ADLs). Independence is related to physical, psychological, biological, and socioeconomic factors. An enhanced understanding of older people’s independence trajectories and associated risk factors would enable the develop early intervention strategies. Methods Independence trajectory analysis was performed on patients identified in the Unité de Prévention de Suivi et d’Analyse du Vieillissement (UPSAV) database. UPSAV cohort is a prospective observational study. Participants were 221 community-dwelling persons aged ≥75 years followed for 24 months between July 2011–November 2013 and benefits from a prevention strategy. Data were collected prospectively using a questionnaire. Independence was assessed using the “Functional Autonomy Measurement System (Système de Mesure de l’Autonomie Fonctionnelle (SMAF))”. Group-based trajectory modeling (GBTM) was performed to identify independence trajectories, and the results were compared with those of k-means and hierarchical ascending classifications. A multinomial logistic regression was performed to identify predictive factors of the independence trajectory. Results Three distinct trajectories of independence were identified including a “Stable functional autonomy (SFA) trajectory” (53% of patients), a “Stable then decline functional autonomy decline (SDFA) trajectory” (33% of patients) and a “Constantly functional autonomy decline (CFAD) trajectory” (14% of patients). Not being a member of an association, and previous fall were significantly associated of a SDFA trajectory (P P Conclusions Community-living older persons exhibit distinct independence trajectories and the predictive factors. The evidence from this study suggests that the prevention and screening for the loss of independence of the older adults should be anticipated to maintaining autonomy.
- Published
- 2021
- Full Text
- View/download PDF