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Functional Aging Index Complements Frailty in Prediction of Entry into Care and Mortality.
Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping). Department of Psychology, Indiana University Southeast, New Albany, Indiana.ORCID iD: 0000-0003-2346-2470
Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping). Södertörn University, Huddinge, Sweden.ORCID iD: 0000-0002-1599-0444
Department of Medical Epidemiological and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Medical Epidemiological and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
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2019 (English)In: The journals of gerontology. Series A, Biological sciences and medical sciences, ISSN 1079-5006, E-ISSN 1758-535X, article id glz155Article in journal (Refereed) Epub ahead of print
Abstract [en]

BACKGROUND: The aim was to develop a functional aging index (FAI) that taps four body systems: sensory (vision and hearing), pulmonary, strength (grip strength), and movement/balance (gait speed) and to test the predictive value of FAI for entry into care and mortality.

METHOD: Growth curve models and cox regression models were applied to data from 1695 individuals from three Swedish longitudinal studies of aging. Participants were aged 45 to 93 at intake and data from up to 8 follow-up waves were available.

RESULTS: The rate of change in FAI was twice as fast after age 75 as before, women demonstrated higher mean FAI, but no sex differences in rates of change with chronological age were identified. FAI predicted entry into care and mortality, even when chronological age and a frailty index were included in the models. Hazard ratios indicated FAI was a more important predictor of entry into care for men than women; whereas it was a stronger predictor of mortality for men than women.

CONCLUSIONS: Measures of biological aging and functional aging differ in their predictive value for entry into care and mortality for men and women, suggesting that both are necessary for a complete picture of the aging process across genders.

Place, publisher, year, edition, pages
Oxford University Press, 2019. article id glz155
Keywords [en]
gender, latent growth curve, survival analysis
National Category
Gerontology, specialising in Medical and Health Sciences
Identifiers
URN: urn:nbn:se:hj:diva-44783DOI: 10.1093/gerona/glz155PubMedID: 31222213Local ID: ;HHJARNISOAI: oai:DiVA.org:hj-44783DiVA, id: diva2:1329211
Available from: 2019-06-24 Created: 2019-06-24 Last updated: 2019-06-24

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Finkel, DeborahSternäng, Ola

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