Social frailty dimensions and frailty models over time |
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Affiliation: | 1. Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS.UP), Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal;2. Center for Health Technology and Services Research (CINTESIS), Rua Dr. Plácido da Costa, 4200-450, Porto, Portugal;3. School of Health, Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal;4. Psychosocial Rehabilitation Lab, Center for Rehabilitation Research (CIR), Rua Dr. António Bernardino de Almeida 400, 4200-072, Porto, Portugal;5. Department of Education and Psychology, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;1. Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundarció Sant Joan de Déu, Dr Antoni Pujades, 42, 08830 Sant Boi de Llobregat, Barcelona, Spain;2. Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5. Pabellón 11, 28029 Madrid, Spain;3. Pharmacy Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain;4. Department of Psychiatry, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IP), Hospital Universitario la Princesa, Madrid, Spain;5. Department of Health Statistics and Information Systems, World Health Organization, Geneva, Switzerland;6. Department of Medical Sociology, Jagiellonian University Medical College, Krakow, Poland;7. National Institute for Health and Welfare, Helsinki, Finland;8. Neurology, Public Health and Disability Unit, Neurological Institute "Carlo Besta" Foundation IRCCS (Istituto di ricovero e cura a carattere scientifico), Milan, Italy;9. Visiting Fellow at Institute for Health Metrics and Evaluation, University of Washington, 2301 Fifth Avenue, mSuite 600, Seattle, WA 98121, USA |
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Abstract: | IntroductionSocial frailty is a complex concept and there is still no consensus on the criteria that best define it, nor on the role that social dimensions play in well-established frailty models.AimTo analyse the predictive value of social frailty dimensions on distinct frailty models.MethodA non-probabilistic sample of 193 community-dwelling adults aged 65 years and over was recruited in 2016 and followed for three years. Frailty was assessed by the Tilburg Frailty Indicator, the Groningen Frailty Indicator, and the Fried Phenotype criteria. Questions about living alone, social network, social support, loneliness, and frequency of social activities engagement were used to assess social criteria. Bivariate correlations and sequential multiple hierarchical logistic regression analyses were performed.ResultsAt baseline, 22.2% older adults lived alone, 47.2% reported missing people around them, 21.1% reported lack of social support, 26.1% reported having reduced their participation in social activities recently and 52.2% reported loneliness. The percent of frail individuals varied across frailty measures, and social criteria showed significant correlations and increased the prediction of frailty status. Loneliness and social activities engagement were associated with frailty as assessed by the Tilburg frailty Indicator and by the Fried Phenotype criteria; the lack of social support is associated with frailty as assessed by the Groningen Frailty Indicator. Living alone and lack of social relationships did not predict frailty.ConclusionIncluding social dimensions in a frailty model needs a consensual theoretical basis as they have different roles in predicting frailty, varying over time and across assessment tools. |
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