Background: To examine the tracking of BMI from birth to age 14 years.
Participants And Methods: Linear mixed model (LMM) analysis was used to model the trajectories of BMI (n = 1,403). Adiposity rebound was investigated for a subset of individuals (n = 173).
Results: Adolescents who were overweight or obese at 14 years followed a different BMI trajectory from birth compared to those of normal weight. There was a difference between weight status groups for the timing of adiposity rebound (p < 0.001) and BMI at nadir (p < 0.001). The LMM depicted a significant difference in rate of change of BMI over time for males and females (p < 0.001), with female BMI increasing at a faster rate, and for weight status groups (p < 0.005), with the obese cohort having the faster increase in BMI over time. BMI at birth was significantly lower for the normal weight cohort compared to the overweight (p = 0.029) and obese (p = 0.019) cohorts.
Conclusion: This study introduces a powerful analytic tool, LMM, to model BMI and shows that weight status at 14 years is the result of a distinct path in earlier years. Compared to their normal weight peers, overweight and obese adolescents experience an earlier adiposity rebound, with a higher BMI at rebound.
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http://dx.doi.org/10.1159/000235561 | DOI Listing |
Obesity (Silver Spring)
January 2025
Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Objective: The study objective was to evaluate changes in abdominal adipose tissue and ectopic fat during pregnancy and their associations with gestational weight gain (GWG) in women with overweight/obesity.
Methods: This study was a secondary analysis of a randomized controlled trial. Magnetic resonance scans were performed during gestational week (GW) 15, GW 32, and around birth to measure abdominal subcutaneous (SAT) and visceral (VAT) adipose tissues, liver fat, and muscle fat.
Nat Commun
November 2024
Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in GWAS. Using childhood BMI as an example trait, we included 71,336 participants from six cohorts and estimated the slope and area under the BMI curve within four time periods (infancy, early childhood, late childhood and adolescence) for each participant, in addition to the age and BMI at the adiposity peak and the adiposity rebound.
View Article and Find Full Text PDFNature
December 2024
Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Med
November 2024
Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark; Department of Food Science, University of Copenhagen, 1958 Frederiksberg C, Denmark. Electronic address:
Background: The gut microbiota has been implicated in adult obesity, but the causality is still unclear. It has been hypothesized that an obesity-prone gut microbiota can be established in infancy, but only few studies have examined the early-life gut microbiota in relation to obesity in childhood, and no consistent associations have been reported. Here, we examine the association between the early-life gut microbiota and body mass index (BMI) development and body composition throughout childhood.
View Article and Find Full Text PDFJ Physiol
December 2024
School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.
Growth differentiation factor 15 (GDF15) is a stress-induced cytokine that suppresses food intake and causes weight loss. GDF15 also reduces voluntary physical activity and, thus, it is not clear whether combining GDF15 with exercise will be beneficial or if reductions in food intake would be offset by decreases in physical activity. We investigated how GDF15 treatment combined with voluntary wheel running (VWR) would impact weight gain, food intake, adiposity and indices of metabolic health in mice.
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