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Cognitive Function and Its Risk Factors Among Older US Adults Living at Home

Overview
Specialties Neurology
Psychiatry
Date 2018 Jan 16
PMID 29334499
Citations 19
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Abstract

Background: The Montreal Cognitive Assessment (MoCA) has not been administered to a representative national sample, precluding comparison of patient scores to the general population and for risk factor identification.

Methods: A validated survey-based adaptation of the MoCA (MoCA-SA) was administered to a probability sample of home-dwelling US adults aged 62 to 90, using the National Social Life, Health, and Aging Project (n=3129), yielding estimates of prevalence in the United States. The association between MoCA-SA scores and sociodemographic and health-related risk factors were determined.

Results: MoCA-SA scores decreased with age, and there were substantial differences among sex, education, and race/ethnicity groups. Poor physical health, functional status, and depression were also associated with lower cognitive performance; current health behaviors were not. Using the recommended MoCA cut-point score for Mild Cognitive Impairment (MoCA score <26; MoCA-SA score <17), 72% (95% confidence interval, 69% to 74%) of older US adults would be classified as having some degree of cognitive impairment.

Conclusions: Our results provide an important national estimate for interpreting MoCA scores from individual patients, and establish wide variability in cognition among older home-dwelling US adults. Care should be taken in applying previously-established MoCA cut-points to the general population, especially when evaluating individuals from educationally and ethnically diverse groups.

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References
1.
Kohout F, Berkman L, Evans D . Two shorter forms of the CES-D (Center for Epidemiological Studies Depression) depression symptoms index. J Aging Health. 1993; 5(2):179-93. DOI: 10.1177/089826439300500202. View

2.
Laurin D, Verreault R, Lindsay J, MacPherson K, Rockwood K . Physical activity and risk of cognitive impairment and dementia in elderly persons. Arch Neurol. 2001; 58(3):498-504. DOI: 10.1001/archneur.58.3.498. View

3.
Coups E, Gaba A, Orleans C . Physician screening for multiple behavioral health risk factors. Am J Prev Med. 2004; 27(2 Suppl):34-41. DOI: 10.1016/j.amepre.2004.04.021. View

4.
Nasreddine Z, Phillips N, Bedirian V, Charbonneau S, Whitehead V, Collin I . The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53(4):695-9. DOI: 10.1111/j.1532-5415.2005.53221.x. View

5.
Blacker D, Lee H, Muzikansky A, Martin E, Tanzi R, McArdle J . Neuropsychological measures in normal individuals that predict subsequent cognitive decline. Arch Neurol. 2007; 64(6):862-71. DOI: 10.1001/archneur.64.6.862. View