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Validation of abridged mini-mental state examination scales using population-based data from Sweden and USA

Author

Listed:
  • Malin Christina Ericsson

    (Karolinska Institutet)

  • Margaret Gatz

    (University of Southern California)

  • Ingemar Kåreholt

    (Karolinska Institutet & Stockholm University
    Jönköping University)

  • Marti G. Parker

    (Karolinska Institutet & Stockholm University)

  • Stefan Fors

    (Karolinska Institutet & Stockholm University)

Abstract

The objective of this study is to validate two abridged versions of the mini-mental state examination (MMSE): one intended for use in face-to-face interviews, and the other developed for telephonic interviews, using data from Sweden and the US to validate the abridged scales against dementia diagnoses as well as to compare their performance to that of the full MMSE scale. The abridged versions were based on eight domains from the original MMSE scale. The domains included in the MMSE-SF were registration, orientation, delayed recall, attention, and visual spatial ability. In the MMSE-SF-C, the visual spatial ability item was excluded, and instead, one additional orientation item was added. There were 794 participants from the Swedish HARMONY study [mean age 81.8 (4.8); the proportion of cognitively impaired was 51 %] and 576 participants from the US ADAMS study [mean age 83.2 (5.7); the proportion of cognitively impaired was 65 %] where it was possible to compare abridged MMSE scales to dementia diagnoses and to the full MMSE scale. We estimated the sensitivity and specificity levels of the abridged tests, using clinical diagnoses as reference. Analyses with both the HARMONY and the ADAMS data indicated comparable levels of sensitivity and specificity in detecting cognitive impairment for the two abridged scales relative to the full MMSE. Receiver operating characteristic curves indicated that the two abridged scales corresponded well to those of the full MMSE. The two abridged tests have adequate validity and correspond well with the full MMSE. The abridged versions could therefore be alternatives to consider in larger population studies where interview length is restricted, and the respondent burden is high.

Suggested Citation

  • Malin Christina Ericsson & Margaret Gatz & Ingemar Kåreholt & Marti G. Parker & Stefan Fors, 2017. "Validation of abridged mini-mental state examination scales using population-based data from Sweden and USA," European Journal of Ageing, Springer, vol. 14(2), pages 199-205, June.
  • Handle: RePEc:spr:eujoag:v:14:y:2017:i:2:d:10.1007_s10433-016-0394-z
    DOI: 10.1007/s10433-016-0394-z
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    References listed on IDEAS

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    1. Meinow, Bettina & Parker, Marti G. & Thorslund, Mats, 2011. "Consumers of eldercare in Sweden: The semblance of choice," Social Science & Medicine, Elsevier, vol. 73(9), pages 1285-1289.
    2. Ross Andel & Michael Crowe & Ingemar Kåreholt & Jonas Wastesson & Marti G. Parker, 2011. "Indicators of Job Strain at Midlife and Cognitive Functioning in Advanced Old Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(3), pages 287-291.
    3. Olle Lundberg & Mats Thorslund, 1996. "Fieldwork and measurement considerations in surveys of the oldest old," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 37(2), pages 165-187, February.
    4. Stefan Fors & Carin Lennartsson & Olle Lundberg, 2009. "Childhood Living Conditions, Socioeconomic Position in Adulthood, and Cognition in Later Life: Exploring the Associations," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(6), pages 750-757.
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    Keywords

    Oldest old; Surveys; Cognition; MMSE;
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