Cognitive function and its associations in older adults from Amazonas, Brazil

The objectives of this study were: (1) to investigate the age-related differences in cognitive function (CF), nutritional status (MNA), physical activity (AF), quality of life (QoL), depression, social satisfaction (SS) and socioeconomic status (SES), and (2) to explore the relationships between CF...

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Detalles Bibliográficos
Autores: Tinôco, Maria Antonieta de Campos, Gouveia, Élvio Rúbio, Ihle, Andreas, Kliegel, Matthias, Jurema, Jefferson, Machado, Floramara Teles, Odim, Angeany Pinto, Muniz, Bárbara Régia, Ribeiro, Euler Esteves, Gouveia, Bruna Raquel, Freitas, Duarte Luís
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Institución:Sociedade Brasileira de Atividade Física e Saúde (SBAFS)
Repositorio:Revista Brasileira de Atividade Física & Saúde (Online)
Idioma:inglés
OAI Identifier:oai:rbafs.ojs.emnuvens.com.br:article/12831
Acceso en línea:https://rbafs.org.br/RBAFS/article/view/12831
Access Level:acceso abierto
Palabra clave:Older adults
Cognitive function
Socioeconomic status
Descripción
Sumario:The objectives of this study were: (1) to investigate the age-related differences in cognitive function (CF), nutritional status (MNA), physical activity (AF), quality of life (QoL), depression, social satisfaction (SS) and socioeconomic status (SES), and (2) to explore the relationships between CF and the previous variables. This cross sectional study included 268 men and 433 women (aged 71.4 ± 7.0 years). CF was determined with the Cognitive Telephone Screening Instrument (COGTEL) and the Mini-Mental State Examination (MMSE). Correlates were as follows: Mini Nutritional Assessment (MNA), PA (Baecke questionnaire modied for older adults), Quality of life (QoL SF- 12), Geriatrics Depression Scale (GDS), Satisfaction and Social Support Scale, and Socioeconomic status (SES). All instruments were applied in a face to face interview. An independent t-test identied signicantly higher scores in young-old adults (≤ 69 years) for CF (p < 0.001), PA (p = 0.046) and SES (p = 0.007), compared to old-old adults (≥ 70 years). e results of multiple linear regression analysis indicated that the most signicant CF correlates were SES (β = 0.45; p < 0.001), age (β = -0.12; p < 0.001), SS (β = 0.12; p = 0.001), GDS (β = -0.11; p = 0.003) and QoL (β = 0.08; p = 0.017). The overall regression model explained 36% of the total variance in the COGTEL. The oldest and the more depressed adults obtained lower scores for FC. The present study suggests that, between the correlates studied, SES was the strongest predictor in the explanation of CF in older adults.