ECEESPE2025 Poster Presentations Growth Axis and Syndromes (91 abstracts)
1University of Gothenburg, Department of Pediatrics, Institution of Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden; 2Region Västra Götaland, Department of Pediatrics, The Queen Silvia Childrens Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden; 3Department of Pediatrics, Halland Hospital, Halmstad, Sweden; 4Department of Research and Development, Region Halland, Halmstad, Sweden; 5University of Gothenburg, Department of Physiology/Endocrinology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden; 6Muvara bv, Multivariate Analysis of Research Data, Leiderdorp, Netherlands; 7University of Gothenburg, Department of Ophthalmology, Sahlgrenska University Hospital, Västra Götaland Region, Gothenburg, Sweden; 8APNC Sweden, Möndal, Sweden; 9Deceased 2024-10-08, Gothenburg, Sweden
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Background: The early growth period, spanning from conception to approximately two years of age, is known to play a critical role in determining long-term health outcomes. We hypothesized that growth during early life could explain variations in pubertal growth, pubertal timing, and adult height.
Methods: The study was conducted on growth data from the population-based Swedish longitudinal GrowUp1974&1990 Gothenburg cohorts. A subgroup of 4,700 individuals (50% male, Associations between birth characteristics, pubertal timing and adult height. Skogastierna et al Act.Ped 2024), including participants across all gestational ages and birth sizes, was analyzed. Growth patterns were assessed using QEPS variables (Modelling individual longitudinal human growth from fetal to adult life QEPS I. Nierop et al J Theor Biol 2016), which were examined in both univariate and multivariate linear regression models, stratified by sex; Q-function throughout all growth periods, and specific E- and P-functions, for early life growth and pubertal growth (Insight into human pubertal growth by applying the QEPS growth model. Holmgren et al BMC Pediatr. 2017), respectively.
Results: Multivariate analysis showed that early life growth accounted for 3738% of the variation in specific pubertal growth but had a small influence on pubertal timing. Adult height variability was primarily explained by birth size (5762%), early life growth (6667%), and childhood growth (6569%), with mid-parental height contributing to a lesser extent (3539%). Additionally, height changes during puberty accounted for 89% of the variation in adult height.
Conclusion: These findings suggest that early life growth has a significant impact on pubertal growth and adult height but is less associated with the timing of pubertal growth.