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Off the Charts: Identifying and Visualizing Body Mass Index Trajectories of Rural, Poor Youth - 17/12/20

Doi : 10.1016/j.jpeds.2020.09.007 
Brandi Y. Rollins, PhD , Lori A. Francis, PhD ,
 Biobehavioral Health Department, The Pennsylvania State University, University Park, PA 

Reprint requests: Lori A. Francis, PhD, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA 16802.The Pennsylvania State University219 Biobehavioral Health BuildingUniversity ParkPA16802

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.

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

Abbreviations : BMI, CDC, GMM


Mappa


 This study utilizes data from the Family Life Project (FLP) [flp.fpg.unc.edu/]. Grant support for FLP data collection was provided by the National Institute of Child Health and Human Development grants R01 HD081252 and P01 HD039667. Grant support for manuscript preparation was provided by National Institute of Child Health and Human Development grant R01 HD074807. The authors declare no conflicts of interest.


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