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Drivers of Frailty from Adulthood into Old Age: Results from a 27-Year Longitudinal Population-Based Study in Sweden
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-0021-360X
Department of Psychology, the University of California at Riverside, USA.ORCID iD: 0000-0001-6502-7173
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden ; Institute of Gerontology and Aging Research Network – Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Sweden .ORCID iD: 0000-0002-6305-8993
Institute of Gerontology and Aging Research Network – Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Sweden ; Department of Psychology, Indiana University Southeast, New Albany, USA.ORCID iD: 0000-0003-2346-2470
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2020 (English)In: The journals of gerontology. Series A, Biological sciences and medical sciences, ISSN 1079-5006, E-ISSN 1758-535X, Vol. 75, no 10, p. 1943-1950Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Frailty is a strong predictor of adverse outcomes. However, longitudinal drivers of frailty are not well understood. This study aimed at investigating the longitudinal trajectories of a frailty index (FI) from adulthood to late life and identifying the factors associated with the level and rate of change in FI. METHODS: An age-based latent growth curve analysis was performed in the Swedish Adoption/Twin Study of Aging (N = 1,842; aged 29-102 years) using data from up to 15 measurement waves across 27 years. A 42-item FI was used to measure frailty at each wave. RESULTS: A bilinear, two-slope model with a turning point at age 65 best described the age-related change in FI, showing that the increase in frailty was more than twice as fast after age 65. Underweight, obesity, female sex, overweight, being separated from one's co-twin during childhood, smoking, poor social support, and low physical activity were associated with a higher FI at age 65, with underweight having the largest effect size. When tested as time-varying covariates, underweight and higher social support were associated with a steeper increase in FI before age 65, whereas overweight and obesity were associated with less steep increase in FI after age 65. CONCLUSIONS: Factors associated with the level and rate of change in frailty are largely actionable and could provide targets for intervention. As deviations from normal weight showed the strongest associations with frailty, future public health programs could benefit from monitoring of individuals with abnormal BMI, especially those who are underweight.

Place, publisher, year, edition, pages
Oxford University Press, 2020. Vol. 75, no 10, p. 1943-1950
Keywords [en]
Deficit accumulation, Latent growth curve, Longitudinal, Trajectories, Body-mass index, Swedish adoption/twin, Health, Mortality, Obesity, Midlife, Predictor, Paradox
National Category
Gerontology, specialising in Medical and Health Sciences Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:his:diva-19529DOI: 10.1093/gerona/glaa106ISI: 000579867400028PubMedID: 32348465Scopus ID: 2-s2.0-85091807965OAI: oai:DiVA.org:his-19529DiVA, id: diva2:1536567
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 97:0147:1B 2009-0795, 2013-2292Swedish Research Council, 825-2007-7460, 825-2009-6141, 521-20138689, 2015-03255, 2018-0207,7 2016-03081, 2019-01272, 2015-06796Magnus Bergvall FoundationKing Gustaf V Jubilee Fund
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CC BY-NC-ND 4.0

Available from: 2020-10-12 Created: 2021-03-11 Last updated: 2021-03-19Bibliographically approved

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Dahl Aslan, Anna K.Finkel, Deborah

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Raymond, EmmaReynolds, Chandra A.Dahl Aslan, Anna K.Finkel, DeborahEricsson, MalinHägg, SaraPedersen, Nancy L.Jylhävä, Juulia
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The journals of gerontology. Series A, Biological sciences and medical sciences
Gerontology, specialising in Medical and Health SciencesPublic Health, Global Health, Social Medicine and Epidemiology

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