Fitness vs Fatness as Determinants of Survival in Noninstitutionalized Older Adults: The EXERNET Multicenter Study

Author:

Navarrete-Villanueva David1,Gómez-Cabello Alba12,Gómez-Bruton Alejandro13,Gesteiro Eva4,Rodríguez-Gómez Irene5ORCID,Pérez-Gómez Jorge6,Villa-Vicente José Gerardo7,Espino-Toron Luis8,Gusi Narcís9,González-Gross Marcela357ORCID,Ara Ignacio389,Vicente-Rodríguez Germán13,Casajús José A110

Affiliation:

1. GENUD (Growth, Exercise, NUtrition and Development) Research Group, Instituto Agroalimentario de Aragón-IA2-(CITA-Unizar), Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), University of Zaragoza, Spain

2. Centro Universitario de la Defensa, Zaragoza, Spain

3. Faculty of Health and Sport Sciences (FCSD), University of Zaragoza, Huesca, Spain

4. ImFine Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBEROBN), Spain

5. GENUD Toledo Research Group, Universidad de Castilla-La Mancha, CIBER of Frailty and Healthy Aging (CIBERFES), Spain

6. HEME Research Group, University of Extremadura, Cáceres, Spain

7. Institute of Biomedicine (IBIOMED), University of León, Spain

8. Unit of Sport Medicine, Cabildo of Gran Canaria, Spain

9. Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain

10. Faculty of Medicine, University of Zaragoza, Huesca, Spain

Abstract

Abstract Background Physical fitness and body composition are important health indicators; nevertheless, their combined pattern interrelationships and their association with mortality are poorly investigated. Methods This longitudinal study is part of the Spanish EXERNET-Elder project. Person-months of follow-up were calculated from the interview date, performed between June 2008 and November 2009, until the date of death or censoring on March 2018 (whichever came first). In order to be included, participants had to fulfill the following criteria: (a) be older than 65 years, (b) live independently at home, (c) not suffer dementia and/or cancer, and (d) have a body mass index above 18.5. Body fat and weight were assessed by a bioelectrical impedance analyzer. Fitness was measured with the Senior Fitness and the one-leg static balance tests. The Spanish Death Index was consulted for the death’s identification. Cluster analysis was performed to identify Fat–Fit patterns and traditional cut-points and percentiles to create the Fat–Fit groups. Cox proportional hazards regression models were used to calculate the hazard ratios (HRs) of death in clustered Fat–Fit patterns and in traditional Fat–Fit groups. Results A total of 2299 older adults (76.8% of women) were included with a baseline mean age of 71.9 ± 5.2 years. A total of 196 deaths (8.7% of the sample) were identified during the 8 years of follow-up. Four clustered Fat–Fit patterns (Low fat–Fit, Medium fat–Fit, High fat–Unfit, and Low fat–Unfit) and 9 traditional Fat–Fit groups emerged. Using the Low fat–Fit pattern as the reference, significantly increased mortality was noted in High fat–Unfit (HR: 1.68, CI: 1.06–2.66) and Low fat–Unfit (HR: 2.01, CI: 1.28–3.16) groups. All the traditional Fit groups showed lower mortality risk when compared to the reference group (obese–unfit group). Conclusion Physical fitness is a determinant factor in terms of survival in community-dwelling older adults, independently of adiposity levels.

Funder

Ministerio de Trabajo y Asuntos Sociales

Universidad de Zaragoza

Ministerio de Sanidad, Servicios Sociales e Igualdad

Ministerio de Trabajo y Asuntos Sociales Sociales-IMSERSO

Centro Universitario de la Defensa de Zaragoza

Ministerio de Economía, Industria y Competitividad

Fondos FEDER

Gobierno de Aragón

Gobierno de Castilla-La Mancha

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

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