Determining the timing of pubertal onset via a multicohort analysis of growth
| Autor: | Syrjälä, E. (Essi), Niinikoski, H. (Harri), Virtanen, H. E. (Helena E.), Ilonen, J. (Jorma), Knip, M. (Mikael), Hutri-Kähönen, N. (Nina), Pahkala, K. (Katja), Raitakari, O. T. (Olli T.), Rodprasert, W. (Wiwat), Toppari, J. (Jorma), Virtanen, S. M. (Suvi M.), Veijola, R. (Riitta), Peltonen, J. (Jaakko), Nevalainen, J. (Jaakko) |
|---|---|
| Přispěvatelé: | Tampere University, Health Sciences, Department of Paediatrics, Clinical Medicine, Pediatrics, Computing Sciences, HUS Children and Adolescents, Doctoral Programme in Clinical Research, Children's Hospital, CAMM - Research Program for Clinical and Molecular Metabolism |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Physiology Growth Adolescents Cohort Studies Families Endocrinology Medical Conditions Risk Factors 3123 Gynaecology and paediatrics Medicine and Health Sciences Breast Age of Onset Child Children 112 Statistics and probability Finland Biological Phenomena Men 3142 Public health care science environmental and occupational health Physiological Parameters Research Design Medicine Female Infants Research Article Childhood Obesity Adolescent Endocrine Disorders Science Research and Analysis Methods Diabetes Mellitus Humans Women Genitalia Obesity Endocrine Physiology Puberty Body Weight Biology and Life Sciences Models Theoretical Overweight Body Height 3141 Health care science Age Groups Metabolic Disorders People and Places Population Groupings Forecasting |
| Zdroj: | PLoS ONE, Vol 16, Iss 11 (2021) PLoS ONE, Vol 16, Iss 11, p e0260137 (2021) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|