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Global performance of executive function is predictor of risk of frailty and disability in older adults

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The journal of nutrition, health & aging

Abstract

Introduction

The executive function is a complex set of skills affected during the aging process and translate into subclinical cerebrovascular disease. Postural instability or motor slowness are some clinical manifestations, being consubstantial with the frailty phenotype, genuine expression of aging. Executive dysfunction is also considered a predictor of adverse health events in the elderly.

Aim

To study whether the executive dysfunction can be used as an early marker for frailty and the viability of use as a predictor of mortality, hospitalization and/or disability in a Mediterranean population.

Design

A population-based cohort study using data from the Toledo Study for Healthy Aging (TSHA).

Methods

1690 Spanish elders aged ≥65 years underwent a neuropsychological evaluation in order to measure executive function. To assess whether the accumulation of dysfunctions (in severity and amplitude) could increase the predictive value of adverse health events in relation to each dimension separately an executive dysfunction cumulative index was constructed. Cox proportional hazards model was used to examine mortality and hospitalization over 5.02 and 3.1 years of follow-up, respectively.

Results

Executive dysfunction is a powerful predictor of mortality, frailty and disability. Cumulative differences in executive function are associated with high risk of frailty and disability, thus, for each one point increment in the executive function index, the risk of death increased by 7 %, frailty by 13% and disability by 11% (P<0.05). Moreover, the executive impairment exhibits a strong positive tendency with age, comorbidity and mortality.

Conclusions

Cumulative differences in four executive dimensions widely used in clinical practice improves the ability to predict frailty and disability compared to each dimension separately.

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References

  1. Dubois, B., et al., The FAB: a Frontal Assessment Battery at bedside. Neurology, 2000; 55(11): p. 1621–6.

    Article  CAS  PubMed  Google Scholar 

  2. Bonelli, R.M. and J.L. Cummings, Frontal-subcortical circuitry and behavior. Dialogues Clin Neurosci, 2007; 9(2): p. 141–51.

    PubMed  PubMed Central  Google Scholar 

  3. Johnson, J.K., L.Y. Lui, and K. Yaffe, Executive function, more than global cognition, predicts functional decline and mortality in elderly women. J Gerontol A Biol Sci Med Sci, 2007; 62(10): p. 1134–41.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Li, L.W., Predictors of ADL Disability Trajectories Among Low-Income Frail Elders in the Community. Research on Aging, 2005; 27(6): p. 615–642.

    Article  Google Scholar 

  5. McGuire, L.C., E.S. Ford, and U.A. Ajani, Cognitive functioning as a predictor of functional disability in later life. Am J Geriatr Psychiatry, 2006; 14(1): p. 36–42.

    Article  PubMed  Google Scholar 

  6. Harada, C.N., M.C. Natelson Love, and K.L. Triebel, Normal cognitive aging. Clin Geriatr Med, 2013; 29(4): p. 737–52.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Jokinen, H., et al., Longitudinal cognitive decline in subcortical ischemic vascular disease—the LADIS Study. Cerebrovasc Dis, 2009; 27(4): p. 384–91.

    Article  PubMed  Google Scholar 

  8. Kim, H.J., et al., Clinical effect of white matter network disruption related to amyloid and small vessel disease. Neurology, 2015; 85(1): p. 63–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Wallin, A., et al., Symptoms, vascular risk factors and blood-brain barrier function in relation to CT white-matter changes in dementia. Eur Neurol, 2000; 44(4): p. 229–35.

    Article  CAS  PubMed  Google Scholar 

  10. Kearney, F.C., et al., The relationship between executive function and falls and gait abnormalities in older adults: a systematic review. Dement Geriatr Cogn Disord, 2013. 36(1-2): p. 20–35.

    Article  PubMed  Google Scholar 

  11. Muir, S.W., K. Gopaul, and M.M. Montero Odasso, The role of cognitive impairment in fall risk among older adults: a systematic review and meta-analysis. Age Ageing, 2012; 41(3): p. 299–308.

    Article  PubMed  Google Scholar 

  12. Studenski, S., et al., Gait speed and survival in older adults. JAMA, 2011; 305(1): p. 50–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Beauchet, O., et al., Gait control: a specific subdomain of executive function? J Neuroeng Rehabil, 2012. 9: p.12.

    Google Scholar 

  14. Elliott, R., Executive functions and their disorders. Br Med Bull, 2003. 65: p. 49–59.

    Article  PubMed  Google Scholar 

  15. Fried, L.P., et al., Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci, 2001. 56(3): p. M146–56.

    Article  CAS  PubMed  Google Scholar 

  16. Williams, P.G., Y. Suchy, and H.K. Rau, Individual differences in executive functioning: implications for stress regulation. Ann Behav Med, 2009; 37(2): p. 126–40.

    Article  PubMed  Google Scholar 

  17. Roiland, R.A., et al., Stress Regulation as a Link between Executive Function and Pre-Frailty in Older Adults. J Nutr Health Aging, 2015; 19(8): p. 828–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Afilalo, J., et al., Role of frailty in patients with cardiovascular disease. Am J Cardiol, 2009; 103(11): p. 1616–21.

    Article  PubMed  Google Scholar 

  19. Chaves, P.H., et al., Subclinical cardiovascular disease in older adults: insights from the Cardiovascular Health Study. Am J Geriatr Cardiol, 2004; 13(3): p. 137–51.

    Article  PubMed  Google Scholar 

  20. Alonso-Bouzon, C., et al., Association between endothelial dysfunction and frailty: the Toledo Study for Healthy Aging. Age (Dordr), 2014; 36(1): p. 495–505.

    Article  CAS  Google Scholar 

  21. Phan, H.M., J.S. Alpert, and M. Fain, Frailty, inflammation, and cardiovascular disease: evidence of a connection. Am J Geriatr Cardiol, 2008; 17(2): p. 101–7.

    PubMed  Google Scholar 

  22. Garcia-Garcia, F.J., et al., The prevalence of frailty syndrome in an older population from Spain. The Toledo Study for Healthy Aging. J Nutr Health Aging, 2011; 15(10): p. 852–6.

    Article  CAS  PubMed  Google Scholar 

  23. Escribano-Aparicio, M.V., et al., Validación del MMSE de Folstein en una población española de bajo nivel educativo1. Revista Española de Geriatría y Gerontología, 1999; 34(6): p. 319–326.

    Google Scholar 

  24. Charlson, M., et al., Validation of a combined comorbidity index. J Clin Epidemiol, 1994; 47(11): p. 1245–51.

    Article  CAS  PubMed  Google Scholar 

  25. Katz, S., et al., Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. Jama, 1963. 185: p. 914–9.

    Article  CAS  PubMed  Google Scholar 

  26. Lawton, M.P. and E.M. Brody, Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist, 1969; 9(3): p. 179–86.

    Article  CAS  PubMed  Google Scholar 

  27. Yesavage, J.A. and J.I. Sheikh, 9/Geriatric Depression Scale (GDS). Clinical Gerontologist, 1986. 5(1-2): p. 165–173.

    Article  Google Scholar 

  28. del Ser Quijano, T., et al., [Spanish version of the 7 Minute screening neurocognitive battery. Normative data of an elderly population sample over 70]. Neurologia, 2004; 19(7): p. 344–58.

    PubMed  Google Scholar 

  29. Roth, C., Boston Naming Test, in Encyclopedia of Clinical Neuropsychology, J.S. Kreutzer, J. DeLuca, and B. Caplan, Editors. 2011, Springer New York: New York, NY. p. 430–433.

  30. Rey, A., L’Examin clinique en psychologie. 1964, Paris: Universitaire de France.

    Google Scholar 

  31. Petrides, M. and B. Milner, Deficits on subject-ordered tasks after frontal-and temporal-lobe lesions in man. Neuropsychologia, 1982; 20(3): p. 249–62.

    Article  CAS  PubMed  Google Scholar 

  32. Drewe, E.A., Go-no go learning after frontal lobe lesions in humans. Cortex, 1975; 11(1): p. 8–16.

    Article  CAS  PubMed  Google Scholar 

  33. Ruiz-Sánchez de León, J.M., et al., Tarea de inhibición frontal (go/no go) para la evaluación del envejecimiento normal, el deterioro cognitivo ligero y demencia de tipo Alzheimer leve. Neurología, 2008. 23(839).

    Google Scholar 

  34. Luria, A.R., Chapter 1 -THE FRONTAL LOBES AND THE REGULATION OF BEHAVIOR, in Psychophysiology of the Frontal Lobes. 1973, Academic Press. p. 3–26.

    Chapter  Google Scholar 

  35. Wechsler, D., Escala de inteligencia de Wechsler para adultos-III. Manual de Aplicación y Corrección. 1999, Madrid: TEA Ediciones S.A.

    Google Scholar 

  36. Conti, J., et al., Diversity of approaches in assessment of executive functions in stroke: limited evidence? eNeurologicalSci, 2015; 1(1): p. 12–20.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Ruff, R.M., et al., Benton Controlled Oral Word Association Test: reliability and updated norms. Arch Clin Neuropsychol, 1996; 11(4): p. 329–38.

    Article  CAS  PubMed  Google Scholar 

  38. Avila-Funes, J.A., et al., Cognitive impairment improves the predictive validity of the phenotype of frailty for adverse health outcomes: the three-city study. J Am Geriatr Soc, 2009; 57(3): p. 453–61.

    Article  PubMed  Google Scholar 

  39. Kulmala, J., et al., Association between frailty and dementia: a population-based study. Gerontology, 2014; 60(1): p. 16–21.

    Article  PubMed  Google Scholar 

  40. Auyeung, T.W., et al., Physical frailty predicts future cognitive decline -a four-year prospective study in 2737 cognitively normal older adults. J Nutr Health Aging, 2011; 15(8): p. 690–4.

    Article  CAS  PubMed  Google Scholar 

  41. Canevelli, M., M. Cesari, and G.A. van Kan, Frailty and cognitive decline: how do they relate? Curr Opin Clin Nutr Metab Care, 2015; 18(1): p. 43–50.

    Article  PubMed  Google Scholar 

  42. Holtzer, R., et al., The protective effects of executive functions and episodic memory on gait speed decline in aging defined in the context of cognitive reserve. J Am Geriatr Soc, 2012; 60(11): p. 2093–8.

    PubMed  PubMed Central  Google Scholar 

  43. Gothe, N.P., et al., Executive function processes predict mobility outcomes in older adults. J Am Geriatr Soc, 2014; 62(2): p. 285–90.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Robertson, D.A., et al., Cognitive function in the prefrailty and frailty syndrome. J Am Geriatr Soc, 2014; 62(11): p. 2118–24.

    Article  PubMed  Google Scholar 

  45. Gansler, D.A., et al., Role of Executive Dysfunction and Dysexecutive Behavior in Late-Life Depression and Disability. Am J Geriatr Psychiatry, 2015; 23(10): p. 1038–45.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Virdis, A., Endothelial Dysfunction in Obesity: Role of Inflammation. High Blood Press Cardiovasc Prev, 2016.

    Google Scholar 

  47. Brioche, T. and S. Lemoine-Morel, Oxidative Stress, Sarcopenia, Antioxidant Strategies and Exercise: Molecular Aspects. Curr Pharm Des, 2016; 22(18): p. 2664–78.

    Article  CAS  PubMed  Google Scholar 

  48. Gross, A.L., et al., Declines and Impairment in Executive Function Predict Onset of Physical Frailty. J Gerontol A Biol Sci Med Sci, 2016.

    Google Scholar 

  49. Desouza, C.V., et al., Role of apathy in the effectiveness of weight management programmes. Diabetes Obes Metab, 2012; 14(5): p. 419–23.

    Article  CAS  PubMed  Google Scholar 

  50. Srikanth, V., et al., Cerebral white matter lesions, gait, and the risk of incident falls: a prospective population-based study. Stroke, 2009; 40(1): p. 175–80.

    Article  PubMed  Google Scholar 

  51. Blackwood, J., et al., Relationships Between Performance on Assessments of Executive Function and Fall Risk Screening Measures in Community-Dwelling Older Adults. J Geriatr Phys Ther, 2016; 39(2): p. 89–96.

    Article  PubMed  Google Scholar 

  52. Vazzana, R., et al., Trail Making Test predicts physical impairment and mortality in older persons. J Am Geriatr Soc, 2010; 58(4): p. 719–23.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Dodge, H.H., et al., Cognitive impairment as a strong predictor of incident disability in specific ADL-IADL tasks among community-dwelling elders: the Azuchi Study. Gerontologist, 2005; 45(2): p. 222–30.

    Article  PubMed  Google Scholar 

  54. McKinnon, N.B., M. Montero-Odasso, and T.J. Doherty, Motor unit loss is accompanied by decreased peak muscle power in the lower limb of older adults. Exp Gerontol, 2015. 70: p. 111–8.

    Article  PubMed  Google Scholar 

  55. Perera, S., et al., Gait Speed Predicts Incident Disability: A Pooled Analysis. J Gerontol A Biol Sci Med Sci, 2016; 71(1): p. 63–71.

    Article  PubMed  Google Scholar 

  56. Yoshitake, T., et al., Incidence and risk factors of vascular dementia and Alzheimer’s disease in a defined elderly Japanese population: the Hisayama Study. Neurology, 1995; 45(6): p. 1161–8.

    Article  CAS  PubMed  Google Scholar 

  57. Oveisgharan, S. and V. Hachinski, Hypertension, executive dysfunction, and progression to dementia: the canadian study of health and aging. Arch Neurol, 2010; 67(2): p. 187–92.

    Article  PubMed  Google Scholar 

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Correspondence to Francisco José García-García.

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Rosado-Artalejo, C., Carnicero, J.A., Losa-Reyna, J. et al. Global performance of executive function is predictor of risk of frailty and disability in older adults. J Nutr Health Aging 21, 980–987 (2017). https://doi.org/10.1007/s12603-017-0895-2

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  • DOI: https://doi.org/10.1007/s12603-017-0895-2

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