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World Journal of Pediatrics

Open Access 04-01-2025 | Obesity | Original Article

Accelerometry-assessed sleep clusters and obesity in adolescents and young adults: a longitudinal analysis in GINIplus/LISA birth cohorts

Authors: Mingming Wang, Claudia Flexeder, Carla P. Harris, Sara Kress, Tamara Schikowski, Annette Peters, Marie Standl

Published in: World Journal of Pediatrics

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Abstract

Background

Some studies have revealed various sleep patterns in adolescents and adults using multidimensional objective sleep parameters. However, it remains unknown whether these patterns are consistent from adolescence to young adulthood and how they relate to long-term obesity.

Methods

Seven-day accelerometry was conducted in German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development (GINIplus) and Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany (LISA) birth cohorts during the 15-year and 20-year follow-ups, respectively. Five sleep clusters were identified by k-means cluster analysis using 12 sleep characteristics at each follow-up. Adjusted linear and logistic regression models using generalized estimating equations were examined. Further, the interaction effects with time of follow-ups and polygenic risk scores (PRS) for body mass index (BMI) were tested.

Results

Five sleep clusters were classified consistently in both adolescence (n = 1347, aged 14.3–16.4 years) and young adulthood (n = 1262, aged 19.5–22.4 years). Adolescents in the “good sleep”, “delayed sleep phase”, and “fragmented sleep” clusters displayed greater stability transitioning into young adulthood, while those in the “sleep irregularity and variability”, and “prolonged sleep latency” clusters showed lower stability (n = 636). Compared to the “good sleep” cluster, the “prolonged sleep latency” cluster exhibited associations with higher BMI [β = 0.56, 95% confidence interval (CI) = (0.06, 1.05)] and increased odds of overweight/obesity [Odds ratio = 1.55, 95% CI = (1.02, 2.34)]. No significant PRS-sleep cluster interaction was found for BMI or overweight/obesity. Among males only, the “delayed sleep phase”, “sleep irregularity and variability” and “fragmented sleep” clusters showed stronger associations with overweight/obesity as age increased.

Conclusion

Adolescents and young adults shared five consistent sleep patterns, with the “prolonged sleep latency” pattern linked to higher BMI and overweight/obesity.

Graphical abstract

Appendix
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Metadata
Title
Accelerometry-assessed sleep clusters and obesity in adolescents and young adults: a longitudinal analysis in GINIplus/LISA birth cohorts
Authors
Mingming Wang
Claudia Flexeder
Carla P. Harris
Sara Kress
Tamara Schikowski
Annette Peters
Marie Standl
Publication date
04-01-2025
Publisher
Springer Nature Singapore
Published in
World Journal of Pediatrics
Print ISSN: 1708-8569
Electronic ISSN: 1867-0687
DOI
https://doi.org/10.1007/s12519-024-00872-5

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