Accelerometry‐assessed sleep clusters and cardiometabolic risk factors in adolescents

Wang, Mingming ; Flexeder, Claudia ; Harris, Carla P. ; Thiering, Elisabeth; Koletzko, Sibylle; Bauer, Carl‐Peter; Schulte‐Körne, Gerd; Berg, Andrea von; Berdel, Dietrich; Heinrich, Joachim ; Schulz, Holger; Schikowski, Tamara; Peters, Annette und Standl, Marie (Januar 2024): Accelerometry‐assessed sleep clusters and cardiometabolic risk factors in adolescents. In: Obesity, Bd. 32, Nr. 1: S. 200-213

Abstract

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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie ; Medizin > Institut und Poliklinik für Arbeits-, Sozial- und Umweltmedizin ; Medizin > Klinikum der LMU München > Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital ; Medizin > Klinikum der LMU München > Klinik und Poliklinik für Kinder- und Jugendpsychiatrie, Psychosomatik und Psychotherapie
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1930-7381
• Sprache: Englisch