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

Authors

  • Maria Antonieta de Campos Tinôco Federal Institute of Education, Science and Technology, Amazonas, Manaus, Amazonas, Brazil. https://orcid.org/0000-0002-8570-8213
  • Élvio Rúbio Gouveia Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. Department of Physical Education and Sports, University of Madeira, Funchal, Ilha da Madeira, Portugal. Institute of Interactive Technology, University of Madeira, Funchal, Ilha da Madeira, Portugal. https://orcid.org/0000-0003-0927-692X
  • Andreas Ihle Department of Psychology, University of Geneva, Geneva, Switzerland. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. https://orcid.org/0000-0001-9845-5190
  • Matthias Kliegel Department of Psychology, University of Geneva, Geneva, Switzerland. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. https://orcid.org/0000-0002-2001-2522
  • Jefferson Jurema Department of Physical Education and Sports, Amazonas State University, Manaus, Amazonas, Brazil. https://orcid.org/0000-0002-2369-4557
  • Floramara Teles Machado Department of Physical Education and Sports, Amazonas State University, Manaus, Amazonas, Brazil. https://orcid.org/0000-0002-0793-4151
  • Angeany Pinto Odim Department of Physical Education and Sports, Amazonas State University, Manaus, Amazonas, Brazil. https://orcid.org/0000-0001-7077-3066
  • Bárbara Régia Muniz Manaus City Hall – City Department of Youth, Sports and Leisure, Manaus, Amazonas, Brazil. https://orcid.org/0000-0001-9984-4112
  • Euler Esteves Ribeiro School of Medicine, Amazonas State University, Manaus. Open University for Senior Citizens, Amazonas State University, Manaus. School of Medicine, Pontifical Catholic University, Porto Alegre, Rio Grande do Sul, Brazil. https://orcid.org/0000-0003-3878-1933
  • Bruna Raquel Gouveia Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. Institute of Interactive Technology, University of Madeira, Funchal, Ilha da Madeira, Portugal. School of Nursing, São José de Cluny, Funchal, Ilha da Madeira, Portugal. Institute of Health Management and Social Affairs, Funchal, Ilha da Madeira, Portugal. https://orcid.org/0000-0001-7706-190X
  • Duarte Luís Freitas Department of Physical Education and Sports, University of Madeira, Funchal, Ilha da Madeira, Portugal. Department of Mathematical Sciences, University of Essex, Colchester, United Kingdom. https://orcid.org/0000-0001-6642-3370

DOI:

https://doi.org/10.12820/rbafs.23e0013

Keywords:

Older adults, Cognitive function, Socioeconomic status

Abstract

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.

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Author Biography

Maria Antonieta de Campos Tinôco, Federal Institute of Education, Science and Technology, Amazonas, Manaus, Amazonas, Brazil.

Lecionação nos Departamentos de Educação Física e Desporto e de Arte do Instituto Federal de Educação, Ciência e Tecnologia do Amazonas: Professor de Ensino Médio e Técnico Integrado em regime de dedicação exclusiva. 

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Published

08/23/2018

How to Cite

1.
Tinôco MA de C, Gouveia Élvio R, Ihle A, Kliegel M, Jurema J, Machado FT, et al. Cognitive function and its associations in older adults from Amazonas, Brazil. Rev. Bras. Ativ. Fís. Saúde [Internet]. 2018 Aug. 23 [cited 2025 Feb. 5];23:1-8. Available from: https://rbafs.org.br/RBAFS/article/view/12831

Issue

Vol. 23 (2018)

Section

Original Articles

License

Copyright (c) 2018 Maria Antonieta de Campos Tinôco, Élvio Rúbio Gouveia, Andreas Ihle, Matthias Kliegel, Jefferson Jurema, Floramara Teles Machado, Angeany Pinto Odim, Bárbara Régia Muniz, Euler Esteves Ribeiro, Bruna Raquel Gouveia, Duarte Luís Freitas

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