Sergio Sánchez-García1,2, Katia Gallegos-Carrillo3, María Claudia Espinel-Bermudez4, Svetlana V Doubova5, Rosalinda Sánchez-Arenas6, Carmen García-Peña7, Antoni Salvà8, Silvia C Briseño-Fabian9. 1. Epidemiological Research Unit and Health Services, Aging AreaXXI Century National Medical Center, Mexican Social Security Institute, Mexico City, Mexico. sergio.sanchezga@imss.gob.mx. 2. Unidad de Investigación en Epidemiología y Servicios de Salud, Área Envejecimiento, Centro Médico Nacional Siglo XXI. IMSS, Avenida Cuauhtémoc No. 330., Edificio CORCE, Tercer piso. Col. Doctores, Delegación Cuauhtémoc, 06725, México, D.F., Mexico. sergio.sanchezga@imss.gob.mx. 3. Epidemiological Research Unit and Health Services, Mexican Social Security Institute, Mexico City, Morelos, Mexico. 4. Medical Research Unit in Clinical Epidemiology, Medical Unit of High Specialty, Specialty Hospital, National Medical Center West, Mexican Social Security Institute, Guadalajara, Mexico. 5. Epidemiological Research Unit and Health Services, XXI Century National Medical Center, Mexican Social Security Institute, Mexico City, Mexico. 6. Epidemiological Research Unit and Health Services, Aging AreaXXI Century National Medical Center, Mexican Social Security Institute, Mexico City, Mexico. 7. National Institute of Geriatrics, National Institutes of Health of Mexico, Ministry of Health, Mexico City, Mexico. 8. Fundació Salut i Envelliment, Autonomous University of Barcelona, Barcelona, Spain. 9. Family Medicine Unit No. 14, North Delegation, Mexican Social Security Institute, Mexico City, Mexico.
Abstract
PURPOSE: To compare the perception of the quality of life (QOL) of community-dwelling older adults with the phenotype of frailty. METHODS: Cross-sectional analysis of baseline data of the "Cohort of Obesity, Sarcopenia and Frailty of Mexican Older Adults" (COSFOMA). Operationalization of frailty was carried out using the phenotype as follows: weight loss, self-report of exhaustion, low physical activity, slow gait, and weakness. QOL was measured using two scales: World Health Organization Quality of Life of Older Adults (WHOQOL-OLD), which is a specific instrument for the elderly population, and Short Form-36 Health Survey (SF-36), a generic instrument to evaluate the QOL related to health. One-way analyses of variance were conducted to assess the differences among the three phenotypes of frailty and QOL perception. RESULTS: There were 1252 older adult participants who were analyzed; 11.2% (n = 140) had frailty, 50.3% (n = 630) pre-frailty and 38.5% (n = 482) were not frail. The mean (±SD) total score of the WHOQOL-OLD according to the phenotype of frailty was 60.3 (13.9) for those with frailty, 67.4 (12.7) pre-frailty and 72.4 (11.2) not frail (ANOVA, p < 0.001). The mean (±SD) of the SF-36 of the physical and mental component measures the sum, 38.9 (9.9) and 41.9 (11.3) with frailty, 45.7 (9.1) and 46.6 (9.8) pre-frailty, and 49.6 (7.3) and 49.4 (7.9) not frail, respectively (ANOVA, p < 0.001). CONCLUSIONS: Frailty is observed in 1/10 community-dwelling older adults. Those with frailty and pre-frailty had a lower perception of QOL compared with those who were not frail.
PURPOSE: To compare the perception of the quality of life (QOL) of community-dwelling older adults with the phenotype of frailty. METHODS: Cross-sectional analysis of baseline data of the "Cohort of Obesity, Sarcopenia and Frailty of Mexican Older Adults" (COSFOMA). Operationalization of frailty was carried out using the phenotype as follows: weight loss, self-report of exhaustion, low physical activity, slow gait, and weakness. QOL was measured using two scales: World Health Organization Quality of Life of Older Adults (WHOQOL-OLD), which is a specific instrument for the elderly population, and Short Form-36 Health Survey (SF-36), a generic instrument to evaluate the QOL related to health. One-way analyses of variance were conducted to assess the differences among the three phenotypes of frailty and QOL perception. RESULTS: There were 1252 older adult participants who were analyzed; 11.2% (n = 140) had frailty, 50.3% (n = 630) pre-frailty and 38.5% (n = 482) were not frail. The mean (±SD) total score of the WHOQOL-OLD according to the phenotype of frailty was 60.3 (13.9) for those with frailty, 67.4 (12.7) pre-frailty and 72.4 (11.2) not frail (ANOVA, p < 0.001). The mean (±SD) of the SF-36 of the physical and mental component measures the sum, 38.9 (9.9) and 41.9 (11.3) with frailty, 45.7 (9.1) and 46.6 (9.8) pre-frailty, and 49.6 (7.3) and 49.4 (7.9) not frail, respectively (ANOVA, p < 0.001). CONCLUSIONS: Frailty is observed in 1/10 community-dwelling older adults. Those with frailty and pre-frailty had a lower perception of QOL compared with those who were not frail.
Entities:
Keywords:
Community-dwelling; Frailty; Mexico; Older adults; Quality of life
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: John E Morley; Bruno Vellas; G Abellan van Kan; Stefan D Anker; Juergen M Bauer; Roberto Bernabei; Matteo Cesari; W C Chumlea; Wolfram Doehner; Jonathan Evans; Linda P Fried; Jack M Guralnik; Paul R Katz; Theodore K Malmstrom; Roger J McCarter; Luis M Gutierrez Robledo; Ken Rockwood; Stephan von Haehling; Maurits F Vandewoude; Jeremy Walston Journal: J Am Med Dir Assoc Date: 2013-06 Impact factor: 4.669
Authors: Dhammika Deepani Siriwardhana; Manuj Chrishantha Weerasinghe; Greta Rait; Shaun Scholes; Kate R Walters Journal: Qual Life Res Date: 2019-02-27 Impact factor: 4.147
Authors: Dhammika D Siriwardhana; Sarah Hardoon; Greta Rait; Manuj C Weerasinghe; Kate R Walters Journal: BMJ Open Date: 2018-03-01 Impact factor: 2.692
Authors: Lorena Patricia Gallardo-Peralta; Esteban Sanchez-Moreno; Soledad Herrera Journal: Int J Environ Res Public Health Date: 2022-07-28 Impact factor: 4.614
Authors: María Fernanda Carrillo-Vega; Mario Ulises Pérez-Zepeda; Guillermo Salinas-Escudero; Carmen García-Peña; Edward Daniel Reyes-Ramírez; María Claudia Espinel-Bermúdez; Sergio Sánchez-García; Lorena Parra-Rodríguez Journal: Int J Environ Res Public Health Date: 2022-08-18 Impact factor: 4.614