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Determining the timing of pubertal onset via a multicohort analysis of growth

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

Determining the timing of pubertal onset via a multicohort analysis of growth

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
Katso/Avaa
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Public Library of Science
doi:10.1371/journal.pone.0260137
URI
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260137
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022012710980
Tiivistelmä

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.

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