A1 Refereed original research article in a scientific journal
Determining the timing of pubertal onset via a multicohort analysis of growth
Authors: Syrjälä Essi, Niinikoski Harri, Virtanen Helena E, Ilonen Jorma, Knip Mikael, Hutri-Kähönen Nina, Pahkala Katja, Raitakari Olli T, Rodprasert Wiwat, Toppari Jorma, Virtanen Suvi M, Veijola Riitta, Peltonen Jaakko, Nevalainen Jaakko
Publisher: Public Library of Science
Publication year: 2021
Journal: PLoS ONE
Journal name in source: PloS one
Journal acronym: PLoS One
Article number: e0260137
Volume: 16
Issue: 11
ISSN: 1932-6203
eISSN: 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0260137
Web address : https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260137
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/68381355
Objective
Growth-based determination of pubertal onset timing would be cheap and practical. We aimed to determine this timing based on pubertal growth markers. Secondary aims were to estimate the differences in growth between cohorts and identify the role of overweight in onset timing.
Design
This multicohort study includes data from three Finnish cohorts—the Type 1 Diabetes Prediction and Prevention (DIPP, N = 2,825) Study, the Special Turku Coronary Risk Factor Intervention Project (STRIP, N = 711), and the Boy cohort (N = 66). Children were monitored for growth and Tanner staging (except in DIPP).
Methods
The growth data were analyzed using a Super-Imposition by Translation And Rotation growth curve model, and pubertal onset analyses were run using a time-to-pubertal onset model.
Results
The time-to-pubertal onset model used age at peak height velocity (aPHV), peak height velocity (PHV), and overweight status as covariates, with interaction between aPHV and overweight status for girls, and succeeded in determining the onset timing. Cross-validation showed a good agreement (71.0% for girls, 77.0% for boys) between the observed and predicted onset timings. Children in STRIP were taller overall (girls: 1.7 [95% CI: 0.9, 2.5] cm, boys: 1.0 [0.3, 2.2] cm) and had higher PHV values (girls: 0.13 [0.02, 0.25] cm/year, boys: 0.35 [0.21, 0.49] cm/year) than those in DIPP. Boys in the Boy cohort were taller (2.3 [0.3, 4.2] cm) compared with DIPP. Overweight girls showed pubertal onset at 1.0 [0.7, 1.4] year earlier compared with other girls. In boys, there was no such difference.
Conclusions
The novel modeling approach provides an opportunity to evaluate the Tanner breast/genital stage–based pubertal onset timing in cohort studies including longitudinal data on growth but lacking pubertal follow-up.
Downloadable publication This is an electronic reprint of the original article. |