The Montreal Cognitive Assessment (MoCA) in a population-based sample of Turkish migrants living in Germany.


Journal

Aging & mental health
ISSN: 1364-6915
Titre abrégé: Aging Ment Health
Pays: England
ID NLM: 9705773

Informations de publication

Date de publication:
01 2019
Historique:
pubmed: 25 11 2017
medline: 8 5 2020
entrez: 25 11 2017
Statut: ppublish

Résumé

Data on cognitive testing in migrants in Germany are scarce. We aimed to evaluate the Montreal Cognitive Assessment (MoCA) in Turkish migrants in Berlin and its association with demographics and health-related variables. For this cross-sectional study, a random sample of persons with Turkish names was drawn from the registration-office. Cognitive function was assessed using the MoCA; 0 = worst, 30 = best total score. Multivariable linear regression models were calculated to determine associated factors with the total MoCA-score. In our analyses we included 282 participants (50% female), mean age 42.3 ± 11.9 years (mean ± standard deviation (SD)). The mean ± SD MoCA score was 23.3 ± 4.3. In the multivariable analysis, higher education (ß = 2.68; p < 0.001), and chosing the German version of the MoCA (ß = -1.13; p = 0.026), were associated with higher MoCA-scores, whereas higher age (ß = -0.08; p = 0.002) was associated with lower MoCA scores. In our study, a higher educational level, lower age, and German as the preferred test language (as compared to Turkish) were positively associated with the cognitive performance of Berliners with Turkish roots. To examine neurocognitive health of migrants, longitudinal population-based and clinical cohort studies that specifically compare migrants and their descendants with the original population of their home countries are required.

Identifiants

pubmed: 29171956
doi: 10.1080/13607863.2017.1396577
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

30-37

Auteurs

Lilian Krist (L)

a Institute For Social Medicine, Epidemiology and Health Economics , Charité-Universitätsmedizin Berlin , Berlin , Germany.

Theresa Keller (T)

a Institute For Social Medicine, Epidemiology and Health Economics , Charité-Universitätsmedizin Berlin , Berlin , Germany.

Lisa Sebald (L)

a Institute For Social Medicine, Epidemiology and Health Economics , Charité-Universitätsmedizin Berlin , Berlin , Germany.

Rahsan Yesil-Jürgens (R)

b Department of Epidemiology and Health Monitoring , Robert Koch-Institute Berlin , Berlin , Germany.

Ute Ellert (U)

b Department of Epidemiology and Health Monitoring , Robert Koch-Institute Berlin , Berlin , Germany.

Andreas Reich (A)

a Institute For Social Medicine, Epidemiology and Health Economics , Charité-Universitätsmedizin Berlin , Berlin , Germany.

Heiko Becher (H)

c Institute for Medical Biometry an Epidemiology , University Medical Center Hamburg-Eppendorf , Hamburg , Germany.

Peter U Heuschmann (PU)

d Institute of Clinical Epidemiology and Biometry , University of Würzburg , Würzburg , Germany.

Stefan N Willich (SN)

a Institute For Social Medicine, Epidemiology and Health Economics , Charité-Universitätsmedizin Berlin , Berlin , Germany.

Thomas Keil (T)

a Institute For Social Medicine, Epidemiology and Health Economics , Charité-Universitätsmedizin Berlin , Berlin , Germany.

Thomas G Liman (TG)

e Center for Stroke Research Berlin , Charité-Universitätsmedizin Berlin , Berlin , Germany.
f Department of Neurology , Charité-Universitätsmedizin Berlin , Berlin , Germany.

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Classifications MeSH