Determining the timing of pubertal onset via a multicohort analysis of growth
<h4>Objective</h4> 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...
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oai:doaj.org-article:60a63b34764e482aa4e90a5813451ec72021-11-25T06:19:42ZDetermining the timing of pubertal onset via a multicohort analysis of growth1932-6203https://doaj.org/article/60a63b34764e482aa4e90a5813451ec72021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601458/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objective</h4> 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. <h4>Design</h4> 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). <h4>Methods</h4> 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. <h4>Results</h4> 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. <h4>Conclusions</h4> 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.Essi SyrjäläHarri NiinikoskiHelena E. VirtanenJorma IlonenMikael KnipNina Hutri-KähönenKatja PahkalaOlli T. RaitakariWiwat RodprasertJorma ToppariSuvi M. VirtanenRiitta VeijolaJaakko PeltonenJaakko NevalainenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021) |
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DOAJ |
| collection |
DOAJ |
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EN |
| topic |
Medicine R Science Q |
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Medicine R Science Q Essi Syrjälä Harri Niinikoski Helena E. Virtanen Jorma Ilonen Mikael Knip Nina Hutri-Kähönen Katja Pahkala Olli T. Raitakari Wiwat Rodprasert Jorma Toppari Suvi M. Virtanen Riitta Veijola Jaakko Peltonen Jaakko Nevalainen Determining the timing of pubertal onset via a multicohort analysis of growth |
| description |
<h4>Objective</h4> 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. <h4>Design</h4> 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). <h4>Methods</h4> 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. <h4>Results</h4> 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. <h4>Conclusions</h4> 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. |
| format |
article |
| author |
Essi Syrjälä Harri Niinikoski Helena E. Virtanen Jorma Ilonen Mikael Knip Nina Hutri-Kähönen Katja Pahkala Olli T. Raitakari Wiwat Rodprasert Jorma Toppari Suvi M. Virtanen Riitta Veijola Jaakko Peltonen Jaakko Nevalainen |
| author_facet |
Essi Syrjälä Harri Niinikoski Helena E. Virtanen Jorma Ilonen Mikael Knip Nina Hutri-Kähönen Katja Pahkala Olli T. Raitakari Wiwat Rodprasert Jorma Toppari Suvi M. Virtanen Riitta Veijola Jaakko Peltonen Jaakko Nevalainen |
| author_sort |
Essi Syrjälä |
| title |
Determining the timing of pubertal onset via a multicohort analysis of growth |
| title_short |
Determining the timing of pubertal onset via a multicohort analysis of growth |
| title_full |
Determining the timing of pubertal onset via a multicohort analysis of growth |
| title_fullStr |
Determining the timing of pubertal onset via a multicohort analysis of growth |
| title_full_unstemmed |
Determining the timing of pubertal onset via a multicohort analysis of growth |
| title_sort |
determining the timing of pubertal onset via a multicohort analysis of growth |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2021 |
| url |
https://doaj.org/article/60a63b34764e482aa4e90a5813451ec7 |
| work_keys_str_mv |
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| _version_ |
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