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Wang, M. ; Flexeder, C. ; Harris, C. ; Thiering, E. ; Koletzko, S.* ; Bauer, C.P.* ; Schulte-Körne, G.* ; von Berg, A.* ; Berdel, D.* ; Heinrich, J.* ; Schulz, H. ; Schikowski, T.* ; Peters, A. ; Standl, M.

Accelerometry-assessed sleep clusters and cardiometabolic risk factors in adolescents.

Obesity 32, 200-213 (2024)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
OBJECTIVE: This study aimed to identify sleep clusters based on objective multidimensional sleep characteristics and test their associations with adolescent cardiometabolic health. METHODS: The authors included 1090 participants aged 14.3 to 16.4 years (mean = 15.2 years) who wore 7-day accelerometers during the 15-year follow-up of the German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development (GINIplus) and the Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany (LISA) birth cohorts. K-means cluster analysis was performed across 12 sleep characteristics reflecting sleep quantity, quality, schedule, variability, and regularity. Cardiometabolic risk factors included fat mass index (FMI), blood pressure, triglycerides, high-density lipoprotein cholesterol, high-sensitivity C-reactive protein, and insulin resistance (n = 505). Linear and logistic regression models were examined. RESULTS: Five sleep clusters were identified: good sleep (n = 337); delayed sleep phase (n = 244); sleep irregularity and variability (n = 108); fragmented sleep (n = 313); and prolonged sleep latency (n = 88). The "prolonged sleep latency" cluster was associated with increased sex-scaled FMI (β = 0.39, 95% confidence interval: 0.15-0.62) compared with the "good sleep" cluster. The "sleep irregularity and variability" cluster was associated with increased odds of high triglycerides only in male individuals (odds ratio: 9.50, 95% confidence interval: 3.22-28.07), but this finding was not confirmed in linear models. CONCLUSIONS: The prolonged sleep latency cluster was associated with higher FMI in adolescents, whereas the sleep irregularity and variability cluster was specifically linked to elevated triglycerides (≥1.7 mmol/L) in male individuals.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Cardiovascular-disease; Sedentary Behavior; Insulin-resistance; Metabolic Syndrome; Physical-activity; Fatty-acids; Children; Associations; Homeostasis; Duration
Sprache englisch
Veröffentlichungsjahr 2024
Prepublished im Jahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 1930-7381
e-ISSN 1930-739X
Zeitschrift Obesity
Quellenangaben Band: 32, Heft: 1, Seiten: 200-213 Artikelnummer: , Supplement: ,
Verlag Wiley
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-008
G-504000-009
G-504000-010
Förderungen Federal Ministry for Education, Science, Research and Technology
the Commission of the European Communities, the 7th Framework Program: MeDALL project
Technische Universität München (TU Munich)
Research Institute at Marien-Hospital Wesel/Evangelisches Krankenhaus (EVK) Düsseldorf
Research Institute at Marien-Hospital Wesel, Pediatric Practice, Bad Honnef
Mead Johnson Nutrition
Ludwig-Maximilians-Universität München (LMU Munich)
IUF-Leibniz Research Institute for Environmental Medicine
Helmholtz Zentrum Munchen
Helmholtz Centre for Environmental Research - UFZ
Fondation Nestlé
DOI 10.1002/oby.23918
WOS ID 001088034600001
Scopus ID 85174627237
PubMed ID 37873587
Erfassungsdatum 2023-11-28
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