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The relation of education, occupation, and cognitive activity to cognitive status in old age: the role of physical frailty

Published online by Cambridge University Press:  25 May 2017

Andreas Ihle*
Affiliation:
Department of Psychology, University of Geneva, Geneva, Switzerland Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
Élvio R. Gouveia
Affiliation:
Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland Department of Physical Education and Sport, University of Madeira, Funchal, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal
Bruna R. Gouveia
Affiliation:
Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland Madeira Interactive Technologies Institute, Funchal, Portugal Saint Joseph of Cluny Higher School of Nursing, Funchal, Portugal
Duarte L. Freitas
Affiliation:
Department of Physical Education and Sport, University of Madeira, Funchal, Portugal Department of Mathematical Sciences, University of Essex, Colchester, UK
Jefferson Jurema
Affiliation:
Coordination of Physical Education and Sport, Amazonas State University, Manaus, Brazil
Angenay P. Odim
Affiliation:
Coordination of Physical Education and Sport, Amazonas State University, Manaus, Brazil
Matthias Kliegel
Affiliation:
Department of Psychology, University of Geneva, Geneva, Switzerland Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
*
Correspondence should be addressed to: Andreas Ihle, CIGEV, University of Geneva, route des Acacias 54, 1227 Carouge, Switzerland. Phone: +41 22 37 98308. Email: Andreas.Ihle@unige.ch.
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Abstract

Background:

It remains unclear so far whether the role of cognitive reserve may differ between physically frail compared to less frail individuals. Therefore, the present study set out to investigate the relation of key markers of cognitive reserve to cognitive status in old age and its interplay with physical frailty in a large sample of older adults.

Methods:

We assessed Mini-Mental State Examination (MMSE) in 701 older adults. We measured grip strength as indicator of physical frailty and interviewed individuals on their education, past occupation, and cognitive leisure activity.

Results:

Greater grip strength, longer education, higher cognitive level of job, and greater engaging in cognitive leisure activity were significantly related to higher MMSE scores. Moderation analyses showed that the relations of education, cognitive level of job, and cognitive leisure activity to MMSE scores were significantly larger in individuals with lower, compared to those with greater grip strength.

Conclusions:

Cognitive status in old age may more strongly depend on cognitive reserve accumulated during the life course in physically frail (compared to less frail) older adults. These findings may be explained by cross-domain compensation effects in vulnerable individuals.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2017 

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References

Adam, S., Bonsang, E., Grotz, C. and Perelman, S. (2013). Occupational activity and cognitive reserve: implications in terms of prevention of cognitive aging and Alzheimer's disease. Clinical Interventions in Aging, 8, 377390.Google Scholar
Arenaza-Urquijo, E. M., Wirth, M. and Chetelat, G. (2015). Cognitive reserve and lifestyle: moving towards preclinical Alzheimer's disease. Frontiers in Aging Neuroscience, 7, 134. doi: 10.3389/Fnagi.2015.00134.Google Scholar
Auyeung, T. W., Lee, J. S. W., Kwok, T. and Woo, J. (2011). Physical frailty predicts future cognitive decline – a four-year prospective study in 2737 cognitively normal older adults. Journal of Nutrition, Health & Aging, 15, 690694.Google Scholar
Baltes, P. B. and Baltes, M. M. (1989). Selective optimization with compensation - a psychological model of successful aging. Zeitschrift für Pädagogik, 35, 85105.Google Scholar
Bjork, M. P., Johansson, B. and Hassing, L. B. (2016). I forgot when I lost my grip-strong associations between cognition and grip strength in level of performance and change across time in relation to impending death. Neurobiology of Aging, 38, 6872.Google Scholar
Buchman, A. S., Wilson, R. S., Boyle, P. A., Bienias, J. L. and Bennett, D. A. (2007). Grip strength and the risk of incident Alzheimer's disease. Neuroepidemiology, 29, 6673.CrossRefGoogle ScholarPubMed
Chainani, V. et al. (2016). Objective measures of the frailty syndrome (hand grip strength and gait speed) and cardiovascular mortality: a systematic review. International Journal of Cardiology, 215, 487493.CrossRefGoogle ScholarPubMed
Deary, I. J., Whalley, L. J., Batty, G. D. and Starr, J. M. (2006). Physical fitness and lifetime cognitive change. Neurology, 67, 11951200.Google Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). Mini-mental state – practical method for grading cognitive state of patients for clinician. Journal of Psychiatric Research, 12, 189198.Google Scholar
Gatz, M., Svedberg, P., Pedersen, N. L., Mortimer, J. A., Berg, S. and Johansson, B. (2001). Education and the risk of Alzheimer's disease: findings from the study of dementia in Swedish Twins. Journal of Gerontology: Psychological Sciences B, 56, 292300.Google Scholar
Hertzog, C., Kramer, A. F., Wilson, R. S. and Lindenberger, U. (2008). Enrichment effects on adult cognitive development: can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9, 165.Google Scholar
Hultsch, D. F., Hertzog, C., Small, B. J. and Dixon, R. A. (1999). Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging? Psychology and Aging, 14, 245263.Google Scholar
Ihle, A. et al. (2016). The relation of obesity to performance in verbal abilities, processing speed, and cognitive flexibility in old age: the role of cognitive reserve. Dementia and Geriatric Cognitive Disorders, 42, 117126.CrossRefGoogle ScholarPubMed
Ihle, A. et al. (2017). Associations of educational attainment and cognitive level of job with old age verbal ability and processing speed: the mediating role of chronic diseases. Applied Neuropsychology: Adult. Epublished ahead of print: April 4, 2017, doi: 10.1080/23279095.2017.1306525.Google ScholarPubMed
Karp, A., Paillard-Borg, S., Wang, H. X., Silverstein, M., Winblad, B. and Fratiglioni, L. (2006). Mental, physical and social components in leisure activities equally contribute to decrease dementia risk. Dementia and Geriatric Cognitive Disorders, 21, 6573.Google Scholar
McDowell, I., Xi, G. L., Lindsay, J. and Tierney, M. (2007). Mapping the connections between education and dementia. Journal of Clinical and Experimental Neuropsychology, 29, 127141.CrossRefGoogle ScholarPubMed
Oja, P. and Tuxworth, B. (eds.). (1995). EUROFIT for Adults. Assessment of Health-Related Fitness. Finland: Council of Europe Publishing.Google Scholar
Opdebeeck, C., Martyr, A. and Clare, L. (2016). Cognitive reserve and cognitive function in healthy older people: a meta-analysis. Aging, Neuropsychology, and Cognition, 23, 4060.Google Scholar
Preacher, K. J., Curran, P. J. and Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437448.Google Scholar
R Core Team (2014). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.Google Scholar
Raji, M. A., Kuo, Y. F., Al Snih, S., Markides, K. S., Peek, M. K. and Ottenbacher, K. J. (2005). Cognitive status, muscle strength, and subsequent disability in older Mexican Americans. Journal of the American Geriatrics Society, 53, 14621468.Google Scholar
Robertson, I. H. (2013). A noradrenergic theory of cognitive reserve: implications for Alzheimer's disease. Neurobiology of Aging, 34, 298308.Google Scholar
Spini, D., Bernardi, L. and Oris, M. (2017). Toward a life course framework for studying vulnerability. Research in Human Development, 14, 525.Google Scholar
Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47, 20152028.CrossRefGoogle ScholarPubMed
Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer's disease. Lancet Neurology, 11, 10061012.CrossRefGoogle ScholarPubMed
Syddall, H., Cooper, C., Martin, F., Briggs, R. and Sayer, A. A. (2003). Is grip strength a useful single marker of frailty? Age and Ageing, 32, 650656.CrossRefGoogle ScholarPubMed
Takata, Y. et al. (2008). Physical fitness and cognitive function in an 85-year-old community-dwelling population. Gerontology, 54, 354360.Google Scholar
Velghe, A., De Buyser, S., Noens, L., Demuynck, R. and Petrovic, M. (2016). Hand grip strength as a screening tool for frailty in older patients with haematological malignancies. Acta Clinica Belgica, 71, 227230.Google Scholar
Veronese, N. et al. (2016). What physical performance measures predict incident cognitive decline among intact older adults? A 4.4 year follow up study. Experimental Gerontology, 81, 110118.CrossRefGoogle Scholar
Yassuda, M. S. et al. (2012). Frailty criteria and cognitive performance are related: data from the FIBRA study in Ermelino Matarazzo, Sao Paulo, Brazil. Journal of Nutrition, Health & Aging, 16, 5561.Google Scholar