Predictors of Children's Body Mass Index: a Longitudinal Study of Diet and Growth in Children Aged 2-8 Y
Overview
Authors
Affiliations
Objective: To identify longitudinal variables related to children's body mass index (BMI) (kg/m(2)) at age 8 y.
Design: A longitudinal design, with nine interviews per child from ages 2 to 8 y.
Subjects: In all, 70 white children (37 males, 33 females) who were continuous participants since infancy in the longitudinal study. Families were primarily middle and upper socioeconomic status.
Measurements: At each interview, children's height and weight were measured, and mothers provided 3 days of the child's intake data (a 24-h recall and 2 days of food records).
Analyses: Analyses used were means+/-s.d., correlations, repeated measures analysis of variance, and forward stepwise regression. BMI at each interview was calculated and age of adiposity rebound was determined.
Results: Children's BMI at 8 y was negatively predicted by age of adiposity rebound and positively predicted by their BMI at 2 y. Additionally, each model included one longitudinal dietary variable; mean protein and fat intakes recorded between 2 and 8 y were positive predictors of BMI at 8 y; mean carbohydrate intake over the same time period was negatively related to BMI at 8 y. R(2) values indicated that these three-variable models predicted 41-43% of the variability in BMI among children. BMI of 23% of the children exceeded the 85th CDC percentile.
Conclusions: The results of this study show that factors in early life are associated with children's BMI at age 8 y.
Optimal Protein Intake in Healthy Children and Adolescents: Evaluating Current Evidence.
Garcia-Iborra M, Castanys-Munoz E, Oliveros E, Ramirez M Nutrients. 2023; 15(7).
PMID: 37049523 PMC: 10097334. DOI: 10.3390/nu15071683.
Lin D, Chen D, Huang J, Li Y, Wen X, Shi H BMC Pediatr. 2022; 22(1):215.
PMID: 35439975 PMC: 9016949. DOI: 10.1186/s12887-022-03190-9.
Age at adiposity rebound and the relevance for obesity: a systematic review and meta-analysis.
Zhou J, Zhang F, Qin X, Li P, Teng Y, Zhang S Int J Obes (Lond). 2022; 46(8):1413-1424.
PMID: 35437004 DOI: 10.1038/s41366-022-01120-4.
Arnesen E, Thorisdottir B, Lamberg-Allardt C, Barebring L, Nwaru B, Dierkes J Food Nutr Res. 2022; 66.
PMID: 35261578 PMC: 8861858. DOI: 10.29219/fnr.v66.8242.
Dubois L, Feng C, Bedard B, Yu Y, Luo Z, Marc I Public Health Nutr. 2022; :1-11.
PMID: 34991752 PMC: 9991789. DOI: 10.1017/S1368980022000015.