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Timing and Magnitude of Peak Body Mass Index and Peak Weight Velocity in Infancy Predict Body Mass Index at 2 Years in a Retrospective Cohort of Electronic Health Record Data.
Wood, Charles T; Truong, Tracy; Skinner, Asheley C; Armstrong, Sarah C; Perrin, Eliana M; Woo, Jessica G; Green, Cynthia L.
Afiliação
  • Wood CT; Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC. Electronic address: charles.wood@duke.edu.
  • Truong T; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC.
  • Skinner AC; Department of Population Health Sciences, Duke University Medical School, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
  • Armstrong SC; Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
  • Perrin EM; Department of Pediatrics, Johns Hopkins School of Medicine, and School of Nursing, Baltimore, MD.
  • Woo JG; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
  • Green CL; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
J Pediatr ; 257: 113356, 2023 06.
Article em En | MEDLINE | ID: mdl-36822510
ABSTRACT

OBJECTIVES:

To use growth data from electronic health records to describe and model infant growth (weight velocity and peak body mass index [pBMI]) characteristics. STUDY

DESIGN:

We extracted data from all children born at ≥34 weeks of gestation within one health system between 2014 and 2017. After excluding implausible growth data with an algorithm created for childhood growth, we estimated pBMI, peak weight and length velocities, and the odds of obesity at 2 years, adjusted for race, sex, ethnicity, and birth weight, by the magnitude of peak weight velocity, peak length velocity, and pBMI.

RESULTS:

Among 6425 children (41% White, 28% Black, 26% other race; 16% Hispanic ethnicity), mean pBMI was 17.9 kg/m2 (SD 1.5) and mean age at pBMI was 9.6 months (SD 2.7). Mean peak weight velocity was 949 g (SD 165) per 2 weeks, and the mean peak length velocity was 3.4 cm (SD 0.3) per 2 weeks. Children with obesity at 2 years (n = 931, 14.5%) were more likely to be Hispanic, had greater peak weight and peak length velocities, and had 2 kg/m2 greater magnitude of pBMI than children without obesity. For each unit increase in pBMI, children had more than 4 times greater odds of obesity at age 2 years.

CONCLUSIONS:

In a large sample of infants with clinical growth data tracked via electronic health records, we found associations between the magnitude and timing of peak infant BMI and obesity at 2 years of age.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Obesidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans / Infant Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Obesidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans / Infant Idioma: En Ano de publicação: 2023 Tipo de documento: Article