TY - DATA T1 - Supplementary Material for: Population-Based Distribution and Psychometric Properties of a Short Cognitive Performance Measure in the Population-Based Heinz Nixdorf Recall Study PY - 2011/07/13 AU - Wege N. AU - Dlugaj M. AU - Siegrist J. AU - Dragano N. AU - Erbel R. AU - Jöckel K.-H. AU - Moebus S. AU - Weimar C. UR - 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 DO - 10.6084/m9.figshare.5122462.v1 L4 - https://ndownloader.figshare.com/files/8707426 KW - Mild cognitive impairment KW - Cognitive functioning KW - Ageing KW - Population-based study KW - Psychometric properties KW - Population-based norms N2 - Background: 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. Objectives: (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. Design: Population-based cohort study. Setting and Participants: 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. Methods: 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. Results: 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. Conclusion: 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. ER -