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Defining longitudinal trajectory of body mass index percentile and predicting childhood obesity: methodologies and findings in the Boston Birth Cohort.
Huang, Wanyu; Meir, Anat Yaskolka; Olapeju, Bolanle; Wang, Guoying; Hong, Xiumei; Venkataramani, Maya; Cheng, Tina L; Igusa, Tak; Liang, Liming; Wang, Xiaobin.
Afiliación
  • Huang W; Department of Civil and Systems Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
  • Meir AY; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Olapeju B; School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Wang G; Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
  • Hong X; Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
  • Venkataramani M; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Cheng TL; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Igusa T; Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.
  • Liang L; Department of Civil and Systems Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
  • Wang X; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Precis Nutr ; 2(2): e00037, 2023 Jun.
Article en En | MEDLINE | ID: mdl-37745028
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Precis Nutr Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Precis Nutr Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá