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Identification of mild cognitive impairment in ACTIVE: algorithmic classification and stability.

Publication ,  Journal Article
Cook, SE; Marsiske, M; Thomas, KR; Unverzagt, FW; Wadley, VG; Langbaum, JBS; Crowe, M
Published in: J Int Neuropsychol Soc
January 2013

Rates of mild cognitive impairment (MCI) have varied substantially, depending on the criteria used and the samples surveyed. The present investigation used a psychometric algorithm for identifying MCI and its stability to determine if low cognitive functioning was related to poorer longitudinal outcomes. The Advanced Cognitive Training of Independent and Vital Elders (ACTIVE) study is a multi-site longitudinal investigation of long-term effects of cognitive training with older adults. ACTIVE exclusion criteria eliminated participants at highest risk for dementia (i.e., Mini-Mental State Examination < 23). Using composite normative for sample- and training-corrected psychometric data, 8.07% of the sample had amnestic impairment, while 25.09% had a non-amnestic impairment at baseline. Poorer baseline functional scores were observed in those with impairment at the first visit, including a higher rate of attrition, depressive symptoms, and self-reported physical functioning. Participants were then classified based upon the stability of their classification. Those who were stably impaired over the 5-year interval had the worst functional outcomes (e.g., Instrumental Activities of Daily Living performance), and inconsistency in classification over time also appeared to be associated increased risk. These findings suggest that there is prognostic value in assessing and tracking cognition to assist in identifying the critical baseline features associated with poorer outcomes.

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Published In

J Int Neuropsychol Soc

DOI

EISSN

1469-7661

Publication Date

January 2013

Volume

19

Issue

1

Start / End Page

73 / 87

Location

England

Related Subject Headings

  • Single-Blind Method
  • Psychometrics
  • Neuropsychological Tests
  • Mental Status Schedule
  • Male
  • Longitudinal Studies
  • Humans
  • Female
  • Experimental Psychology
  • Cognitive Dysfunction
 

Citation

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Cook, S. E., Marsiske, M., Thomas, K. R., Unverzagt, F. W., Wadley, V. G., Langbaum, J. B. S., & Crowe, M. (2013). Identification of mild cognitive impairment in ACTIVE: algorithmic classification and stability. J Int Neuropsychol Soc, 19(1), 73–87. https://doi.org/10.1017/S1355617712000938
Cook, Sarah E., Michael Marsiske, Kelsey R. Thomas, Frederick W. Unverzagt, Virginia G. Wadley, Jessica B. S. Langbaum, and Michael Crowe. “Identification of mild cognitive impairment in ACTIVE: algorithmic classification and stability.J Int Neuropsychol Soc 19, no. 1 (January 2013): 73–87. https://doi.org/10.1017/S1355617712000938.
Cook SE, Marsiske M, Thomas KR, Unverzagt FW, Wadley VG, Langbaum JBS, et al. Identification of mild cognitive impairment in ACTIVE: algorithmic classification and stability. J Int Neuropsychol Soc. 2013 Jan;19(1):73–87.
Cook, Sarah E., et al. “Identification of mild cognitive impairment in ACTIVE: algorithmic classification and stability.J Int Neuropsychol Soc, vol. 19, no. 1, Jan. 2013, pp. 73–87. Pubmed, doi:10.1017/S1355617712000938.
Cook SE, Marsiske M, Thomas KR, Unverzagt FW, Wadley VG, Langbaum JBS, Crowe M. Identification of mild cognitive impairment in ACTIVE: algorithmic classification and stability. J Int Neuropsychol Soc. 2013 Jan;19(1):73–87.
Journal cover image

Published In

J Int Neuropsychol Soc

DOI

EISSN

1469-7661

Publication Date

January 2013

Volume

19

Issue

1

Start / End Page

73 / 87

Location

England

Related Subject Headings

  • Single-Blind Method
  • Psychometrics
  • Neuropsychological Tests
  • Mental Status Schedule
  • Male
  • Longitudinal Studies
  • Humans
  • Female
  • Experimental Psychology
  • Cognitive Dysfunction