Literature DB >> 32898580

Off the Charts: Identifying and Visualizing Body Mass Index Trajectories of Rural, Poor Youth.

Brandi Y Rollins1, Lori A Francis2.   

Abstract

OBJECTIVES: To identify body mass index (BMI) trajectories using methods and graphing tools that maintain and visualize variability of BMIs ≥95th percentile, and to investigate individual differences in early sociodemographic risk, infant growth and feeding patterns, and maternal weight status among these trajectories. STUDY
DESIGN: Participants included 1041 predominantly rural, poor families from the Family Life Project, a longitudinal birth cohort. Youth anthropometrics were measured 8 times between ages 2 months and 12 years. Mothers reported sociodemographic information, infant birth weight, and infant feeding at 2 months and reported child weight and height at 2 months and 12 years. At 6 months, mothers reported breastfeeding. At 2 years, maternal weight and height were measured.
RESULTS: Three BMI trajectories were identified: "maintained non-overweight," "developed obesity," and "developed severe obesity." Compared with the non-overweight trajectory, children with heavier trajectories were breastfed for a shorter duration and had heavier mothers at all assessments. The children with the "developed obesity" trajectory were not heavier at birth than those with the non-overweight trajectory, yet they displayed a greater change in weight-for-length percentile during infancy; in addition, their mothers had the greatest change in BMI between 2 months and 12 years. Children with the "developed severe obesity" trajectory were heavier at birth and more likely to have been heavy during infancy and to have been fed solid foods early.
CONCLUSIONS: Using informed analytical and graphing approaches, we described patterns of growth, and identified early predictors of obesity and severe obesity trajectories among a diverse sample of rural, poor youth. Researchers are urged to consider these approaches in future work, and to focus on identifying protective factors in youth with obesity and severe obesity.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  childhood obesity; infant growth; maternal weight status; sociodemographics

Mesh:

Year:  2020        PMID: 32898580      PMCID: PMC8725789          DOI: 10.1016/j.jpeds.2020.09.007

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  44 in total

1.  Longitudinal changes in BMI z-scores among 45 414 2-4-year olds with severe obesity.

Authors:  David S Freedman; Nancy F Butte; Elsie M Taveras; Alyson B Goodman; Heidi M Blanck
Journal:  Ann Hum Biol       Date:  2017-10-30       Impact factor: 1.533

Review 2.  A Narrative Review of Medical and Genetic Risk Factors among Children Age 5 and Younger with Severe Obesity.

Authors:  Nazrat Mirza; Thao-Ly Phan; June Tester; Angela Fals; Cristina Fernandez; George Datto; Elizabeth Estrada; Ihuoma Eneli
Journal:  Child Obes       Date:  2018-05-23       Impact factor: 2.992

Review 3.  Breastfeeding and the use of human milk.

Authors: 
Journal:  Pediatrics       Date:  2012-02-27       Impact factor: 7.124

4.  Trends in Obesity and Severe Obesity Prevalence in US Youth and Adults by Sex and Age, 2007-2008 to 2015-2016.

Authors:  Craig M Hales; Cheryl D Fryar; Margaret D Carroll; David S Freedman; Cynthia L Ogden
Journal:  JAMA       Date:  2018-04-24       Impact factor: 56.272

5.  Adiposity in adolescents: change in actual BMI works better than change in BMI z score for longitudinal studies.

Authors:  Catherine S Berkey; Graham A Colditz
Journal:  Ann Epidemiol       Date:  2006-11-29       Impact factor: 3.797

6.  Identification of Children's BMI Trajectories and Prediction from Weight Gain in Infancy.

Authors:  Anne Bichteler; Elizabeth T Gershoff
Journal:  Obesity (Silver Spring)       Date:  2018-05-03       Impact factor: 5.002

Review 7.  The consequences of childhood overweight and obesity.

Authors:  Stephen R Daniels
Journal:  Future Child       Date:  2006

8.  The Family Life Project: an epidemiological and developmental study of young children living in poor rural communities.

Authors:  Lynne Vernon-Feagans; Martha Cox
Journal:  Monogr Soc Res Child Dev       Date:  2013-10

9.  Biobehavioral Dysregulation and its Association with Obesity and Severe Obesity Trajectories from 2 to 15 Years of Age: A Longitudinal Study.

Authors:  Lori A Francis; Brandi Y Rollins; Crystal I Bryce; Douglas A Granger
Journal:  Obesity (Silver Spring)       Date:  2020-04       Impact factor: 5.002

10.  BMI z-Scores are a poor indicator of adiposity among 2- to 19-year-olds with very high BMIs, NHANES 1999-2000 to 2013-2014.

Authors:  David S Freedman; Nancy F Butte; Elsie M Taveras; Elizabeth A Lundeen; Heidi M Blanck; Alyson B Goodman; Cynthia L Ogden
Journal:  Obesity (Silver Spring)       Date:  2017-02-28       Impact factor: 5.002

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