Associations between self-reported sleep characteristics and incident mild cognitive impairment: The Heinz Nixdorf Recall Cohort Study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
16 04 2020
Historique:
received: 10 09 2019
accepted: 27 03 2020
entrez: 18 4 2020
pubmed: 18 4 2020
medline: 26 11 2020
Statut: epublish

Résumé

Associations of sleep characteristics with mild cognitive impairment (MCI) have been examined in cross-sectional, but rarely in longitudinal studies. Incident MCI and sleep characteristics were assessed in 1,890 participants of the first and second follow-up of the Heinz Nixdorf Recall study, a population-based cohort study in Germany (age at first follow-up 50-80 years, mean follow-up 5.2 years). MCI was assessed with extensive cognitive tests. Sleep questionnaires including PSQI (Pittsburgh Sleep Quality Index) were used to assess sleep quality, sleep disturbances, time asleep, and time in bed. Relative risks (RR) of developing MCI when exposed to sleep characteristics were assessed in regression models adjusted for sociodemographic and cardiovascular risk factors. Poor sleep quality (PSQI > 5) (RR = 1.43, 95% CI: 1.12-1.82, fully adjusted, reference: PSQI ≤ 5) and difficulties initiating sleep (almost nightly versus never) (RR = 1.40, 0.94-2.08) were associated with incident MCI. For time in bed, the risk of MCI was increased for ≤ 5 hours (RR = 2.86, 1.24─6.60, reference:7 to <8 hours). In this longitudinal study with older participants, MCI risk was increased in persons with poor sleep quality, difficulties initiating sleep, and short time in bed.

Identifiants

pubmed: 32300149
doi: 10.1038/s41598-020-63511-9
pii: 10.1038/s41598-020-63511-9
pmc: PMC7162850
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

6542

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Auteurs

Christian Brachem (C)

Nutritional Epidemiology, Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.

Angela Winkler (A)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.

Sarah Tebrügge (S)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.

Christian Weimar (C)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.

Raimund Erbel (R)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.

Karl-Heinz Jöckel (KH)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.

Andreas Stang (A)

Center of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA.

Nico Dragano (N)

Institute of Medical Sociology, Medical Faculty, University of Duesseldorf, Duesseldorf, Germany.

Susanne Moebus (S)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.

Bernd Kowall (B)

Center of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany. bernd.kowall@uk-essen.de.

Martha Jokisch (M)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.

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