Abbonarsi

Parental Obesity and Offspring Pubertal Development: Project Viva - 21/11/19

Doi : 10.1016/j.jpeds.2019.08.029 
Izzuddin M. Aris, PhD 1, 2, 3, , Sheryl L. Rifas-Shiman, MPH 1, Ling-Jun Li, PhD 1, 4, 5, Abby F. Fleisch, MD 6, 7, Marie-France Hivert, MD 1, 8, Michael S. Kramer, MD 2, 9, 10, Emily Oken, MD 1, 11
1 Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 
2 Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 
3 Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore 
4 Division of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore 
5 Obstetrics and Gynecology Academic Clinical Program, Duke-NUS Medical School, Singapore 
6 Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME 
7 Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 
8 Diabetes Unit, Massachusetts General Hospital, Boston, MA 
9 Department of Pediatrics, McGill University Faculty of Medicine, Montreal, Canada 
10 Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada 
11 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 

Reprint requests: Izzuddin M. Aris, PhD, Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401E, Boston, MA 02215.Division of Chronic Disease Research Across the LifecourseDepartment of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care Institute401 Park DriveSuite 401EBostonMA02215

Abstract

Objective

To investigate the association of preconception parental obesity (body mass index [BMI] ≥30 kg/m2) with offspring pubertal development.

Study design

Among 1377 children from a prospective prebirth cohort in Boston, we examined markers of puberty (age at peak height velocity [PHV], age at menarche, self-reported pubertal development score), and adrenarche (pictograph Tanner pubic hair staging). We used multivariable regression models to examine associations of maternal and paternal obesity with offspring pubertal indices, and applied marginal structural models to estimate the controlled direct effect not mediated by offspring prepubertal BMI.

Results

The prevalence of paternal obesity alone, maternal obesity alone, and biparental obesity were 10.5%, 10.1%, and 5%, respectively. After adjusting for demographic and socioeconomic factors, parental heights and maternal age at menarche, maternal obesity alone (vs neither parent with obesity) was associated with earlier age at PHV (β −0.30 years; 95% CI -0.57, −0.03) and higher early adolescent pubertal score (0.29 units; 0.10, 0.48) in boys, but not with pubertal or adrenarchal outcomes in girls. Paternal obesity alone was not associated with any outcomes in either boys or girls. Biparental obesity was associated with earlier age at PHV in boys and earlier menarche in girls. Using marginal structural models with stabilized inverse probability weighting, maternal obesity alone had significant controlled direct effects on age at PHV (−0.31 years; −0.62, 0.00) and on pubertal score (0.22 units; 0.00, 0.44) in boys, independent of prepubertal BMI.

Conclusion

Maternal, but not paternal, obesity is associated with earlier pubertal development in boys, and such association is independent of prepubertal BMI.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : parental obesity, pubertal development, mediation, marginal structural model

Abbreviations : BMI, MSM, PHV, PDS, SITAR


Mappa


 Project Viva is supported by the National Institutes of Health (R01 HD034568 and UH3 OD023286). I.A. is supported by the National University of Singapore Overseas Postdoctoral Fellowship (NUS OPF/2017). L-J.L. is supported by the Singapore National Medical Council Transition Award (NMRC TA/0027/2014). A.F. is supported by the National Institutes of Health (K23 ES024803 and R01 ES030101). The authors declare no conflicts of interest.


© 2019  Elsevier Inc. Tutti i diritti riservati.
Aggiungere alla mia biblioteca Togliere dalla mia biblioteca Stampare
Esportazione

    Citazioni Export

  • File

  • Contenuto

Vol 215

P. 123 - dicembre 2019 Ritorno al numero
Articolo precedente Articolo precedente
  • Deep Neck Space Involvement of Kawasaki Disease in the US: A Population-Based Study
  • Kengo Inagaki, Chad Blackshear, Charlotte V. Hobbs
| Articolo seguente Articolo seguente
  • 50 Years Ago in The Journal of Pediatrics : Growth in Patients with Gonadal Dysgenesis Receiving Fluoxymesterone
  • Anisha Gohil, John S. Fuqua

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
L'accesso al testo integrale di questo articolo richiede un abbonamento.

Già abbonato a @@106933@@ rivista ?

@@150455@@ Voir plus

Il mio account


Dichiarazione CNIL

EM-CONSULTE.COM è registrato presso la CNIL, dichiarazione n. 1286925.

Ai sensi della legge n. 78-17 del 6 gennaio 1978 sull'informatica, sui file e sulle libertà, Lei puo' esercitare i diritti di opposizione (art.26 della legge), di accesso (art.34 a 38 Legge), e di rettifica (art.36 della legge) per i dati che La riguardano. Lei puo' cosi chiedere che siano rettificati, compeltati, chiariti, aggiornati o cancellati i suoi dati personali inesati, incompleti, equivoci, obsoleti o la cui raccolta o di uso o di conservazione sono vietati.
Le informazioni relative ai visitatori del nostro sito, compresa la loro identità, sono confidenziali.
Il responsabile del sito si impegna sull'onore a rispettare le condizioni legali di confidenzialità applicabili in Francia e a non divulgare tali informazioni a terzi.


Tutto il contenuto di questo sito: Copyright © 2026 Elsevier, i suoi licenziatari e contributori. Tutti i diritti sono riservati. Inclusi diritti per estrazione di testo e di dati, addestramento dell’intelligenza artificiale, e tecnologie simili. Per tutto il contenuto ‘open access’ sono applicati i termini della licenza Creative Commons.