Revista INFAD de Psicología:  ISSN: 0214-987
2014 (IJODAEP) Nº2, Vol. 1, pp. 193 doi:http://dx.doi.org/10.17060/ijodaep/2014.n2.v1.023

 

Revista INFAD 2014

PREDICTOR MODEL OF FRAILTY IN OLD AGE

Mafalda Gomes Duarte 1,2
mafaldaduarte@hotmail.com

Inácio Guinaldo Martín 1,3
jmartin@ua.pt

Constança Paúl 1
cpaul@icbas.up

1 Research and Education Unit on Aging – UNIFAI ICBAS
University of Porto Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto (Portugal)
Phone. +351 220 428 161 | URL: http://www.unifai.eu

2 Superior School of Health of Alto Ave (ISAVE), Portugal
Campus Académico do ISAVE, Quinta de Matos – Geraz do Minho 4830-316
P. de Lanhoso (Portugal)
Phone. +351 253 639 800 | Fax – +351 253 639 801 | URL: www.isave.pt

3 Health department of the University of Aveiro
Campus Universitário de Santiago 3810-193
Aveiro (Portugal)
Phone. +351 234 401 558 | Fax: +351 234 401 597 | URL: http://www.ua.pt/sas

* Corresponding Author Mafalda Duarte
UnIFai, Institute of Biomedical Sciences Abel Salazar,
Dpt. Behavioural Sciences,
University of Porto,
Lg. Rua Jorge Viterbo Ferreira, 228, 4050-313
Porto, Portugal. Phone: + 351 220 480 161

Fecha de recepción: 15/10/2014
Fecha de aceptación: 18/10/2014
Fecha de publicación: 05/11/2014

ABSTRACT Background: The Phenotype of Frailty is a syndrome composed of five criteria: weight loss, endurance, physical activity, slowness and weakness. The elder is considered frail if he/she has an impairment in three of these domains. It is known that this condition enhances the risk of disability and death. The objective of this study is to identify predictive and protective factors of frailty.

Methods: This study includes a representative sample, stratified by age group, of elders living in the community (n=339). We developed a frailty protocol, which integrated the criteria of frailty and bio behavioural, geriatric, functionality, health and mental health self-perception indicators.

Results: From the analysis of logistic regression models the demographic predictor are: gender (being a woman) (OR 1.7, 95% CI 1,0 – 2,8), age (more advanced) (OR 2.8, 95% CI 1.6 – 4.9) and educational level (no schooling) (OR 2.6, 95% CI 1.1 – 6.0). The bio behavioural variables and the low respiratory flow predict the condition of frailty (OR 3.3, 95% CI 1.9 – 6.0). Geriatric indicators as falls (OR 3.3, 95% CI 1.5 – 5.6), changes in sensory processes, vision and hearing (OR 2.1, 95% CI 1.2 -3. 8; OR 2.1, 95% CI 1.1 – 4.0 respectively) and the presence of at least one comorbidity (OR 1.8, 95% CI 1.0 – 3.2) are predictors of frailty. Impairment in ADL increases the risk of frailty (OR 2,1, 95% IC 1.2 -3.5). The presence of depressive symptomatology (OR 4.2, 95% IC 1.9-9.2) and cognitive deterioration (OR 2.9, 95% IC 1.6 -5.3) are equally predictive of this condition. On the other hand, maintaining social relations (OR 0.3, 95% IC 0.1-0.5) and a good self-perception health are protective of the condition of frailty (OR 0.4, 95% IC 0.1-0.9).

Conclusions: Frailty can be predicted through a set psychosocial and geriatric factors. Protective indicators such as social relations and subjective health act as protective factor of frailty. Keywords: Aging, Phenotypic frailty, Predictor factors , Protector indicators.

Citación:

Gomes-Duarte, Mafalda; Guinaldo-Matin, Inácio y Paúl, Constança. «Predictor model of frailty in old age». International Journal of Developmental and Educational Psychology. N.o2, Volumen 1,(5 de noviembre de 2014): 8. http://dx.doi.org/10.17060/ijodaep/2014.n2.v1.023

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