Author
Listed:
- Felipe Diaz-Toro
(Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
Facultad de Enfermeria, Universidad Andres Bello, Santiago 7550196, Chile)
- Gabriela Nazar
(Departamento de Psicología y Centro de Vida Saludable, Universidad de Concepción, Concepción 4030000, Chile)
- Claudia Troncoso
(Centro de Investigación en Educación y Desarrollo (CIEDE-UCSC), Departamento de Salud Pública, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción 4070129, Chile)
- Yeny Concha-Cisternas
(Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Talca 8370003, Chile
Pedagogía en Educación Física, Facultad de Educación, Universidad Autónoma de Chile, Talca 7500912, Chile)
- Ana Maria Leiva-Ordoñez
(Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia 5110566, Chile)
- Maria Adela Martinez-Sanguinetti
(Instituto de Farmacia, Facultad de Ciencias, Universidad Austral de Chile, Valdivia 5110566, Chile)
- Solange Parra-Soto
(BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, UK)
- Nicole Lasserre-Laso
(Escuela de Nutrición y Dietética, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile)
- Igor Cigarroa
(Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile)
- Lorena Mardones
(Laboratorio de Ciencias Biomédicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile)
- Jaime Vásquez-Gómez
(Centro de Investigación de Estudios Avanzados del Maule, Universidad Católica del Maule, Talca 3460000, Chile
Laboratorio de Rendimiento Humano, Education, Physical Activity and Health Research Unit, Universidad Católica del Maule, Talca 3466706, Chile)
- Fanny Petermann-Rocha
(BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, UK
Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago 8370068, Chile
These authors contributed equally to this work.)
- Ximena Diaz-Martinez
(Grupo de Investigación Calidad de Vida, Universidad del Biobío, Chillán 4300818, Chile)
- Carlos Celis-Morales
(BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, UK
Laboratorio de Rendimiento Humano, Education, Physical Activity and Health Research Unit, Universidad Católica del Maule, Talca 3466706, Chile
These authors contributed equally to this work.)
Abstract
We aimed to investigate the association between frailty status and all-cause mortality in middle-aged and older people. We included 2661 individuals aged ≥ 35 from the Chilean National Health Survey 2009–2010. Mortality was determined through linkage with the Chilean Civil Registry and Identification. A 36-item frailty index (FI) was used to assess the frailty status. Associations between frailty status and all-cause mortality were assessed using Kaplan–Meier and Cox proportional hazard models adjusted for sociodemographic and lifestyle factors. A non-linear association was investigated using penalized cubic splines fitted in the Cox models. During an 8.9 median follow-up (interquartile range of 8.6–9.0), 308 individuals died (11.5%). Lower survival rates were observed in frail individuals compared to pre-frail and robust people (log-rank < 0.001). Compared with robust individuals, frail people had a higher mortality risk (HR: 2.35 [95% CI: 1.57 to 3.51]). Frail middle-aged individuals had a higher risk of dying independently of major risk factors.
Suggested Citation
Felipe Diaz-Toro & Gabriela Nazar & Claudia Troncoso & Yeny Concha-Cisternas & Ana Maria Leiva-Ordoñez & Maria Adela Martinez-Sanguinetti & Solange Parra-Soto & Nicole Lasserre-Laso & Igor Cigarroa & , 2023.
"Frailty Index as a Predictor of Mortality in Middle-Aged and Older People: A Prospective Analysis of Chilean Adults,"
IJERPH, MDPI, vol. 20(2), pages 1-11, January.
Handle:
RePEc:gam:jijerp:v:20:y:2023:i:2:p:1195-:d:1030399
Download full text from publisher
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
- Alexandra L. Bellows & Donna Spiegelman & Shufa Du & Lindsay M. Jaacks, 2020.
"The Association of Cooking Fuel Use, Dietary Intake, and Blood Pressure among Rural Women in China,"
IJERPH, MDPI, vol. 17(15), pages 1-14, July.
- Kyoji Furukawa & Munechika Misumi & John B. Cologne & Harry M. Cullings, 2016.
"A Bayesian Semiparametric Model for Radiation Dose‐Response Estimation,"
Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1211-1223, June.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1195-:d:1030399. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.