10.6084/m9.figshare.5122462.v1
Wege N.
Wege
N.
Dlugaj M.
Dlugaj
M.
Siegrist J.
Siegrist
J.
Dragano N.
Dragano
N.
Erbel R.
Erbel
R.
Jöckel K.-H.
Jöckel
K.-H.
Moebus S.
Moebus
S.
Weimar C.
Weimar
C.
Supplementary Material for: Population-Based Distribution and Psychometric Properties of a Short Cognitive Performance Measure in the Population-Based Heinz Nixdorf Recall Study
Karger Publishers
2011
Mild cognitive impairment
Cognitive functioning
Ageing
Population-based study
Psychometric properties
Population-based norms
2011-07-13 00:00:00
Dataset
https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Population-Based_Distribution_and_Psychometric_Properties_of_a_Short_Cognitive_Performance_Measure_in_the_Population-Based_Heinz_Nixdorf_Recall_Study/5122462
<i>Background:</i> Providing a valid and sensitive measure of different domains of cognitive performance in epidemiologic studies of early old-age populations presents a methodological challenge, given the broad range of variability in cognitive functioning in this age group. <i>Objectives:</i> (1) To provide data on the distribution of cognitive performance scores in a representative sample of an early old-age population, and (2) to assess psychometric properties of a short cognitive performance measure developed within the framework of a cohort study. <i>Design:</i> Population-based cohort study. <i>Setting and Participants:</i> As part of the second examination of the Heinz Nixdorf Recall Study, 4,145 participants aged 50–80 years underwent a short cognitive performance assessment composed of 5 subtests with a mean duration of 7.31 min. Additionally, a subsample of 656 participants had a detailed neuropsychological and neurological examination. <i>Methods:</i> Age- and education-specific cognitive performance scores in the total sample were calculated. Based on data from the subsample, concurrent validity was examined by comparing findings with a clinically validated neuropsychological assessment. <i>Results:</i> In the total sample, younger and more highly educated participants had higher scores of cognitive performance. In the subsample, a good accuracy [area under the curve (AUC) = 0.81 (0.74–0.87)] of the short cognitive performance assessment compared with results from a clinically established Alzheimer disease assessment scale and diagnosis of mild cognitive impairment [AUC = 0.82 (0.78–0.82)] was observed. <i>Conclusion:</i> This brief, cognitive performance measure, documenting good psychometric properties, can be useful in future epidemiological investigations exploring different domains and overall cognitive functioning in early old-age populations.