1. Tracking Preschoolers’ Lifestyle Behaviors and Testing Maternal Sociodemographics and BMI in Predicting Child Obesity Risk
- Author
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Mark Halaki, Li Ming Wen, Louise A. Baur, Kanita Kunaratnam, and Victoria M Flood
- Subjects
Adult ,Male ,Pediatric Obesity ,Mothers ,Medicine (miscellaneous) ,Overweight ,Logistic regression ,Childhood obesity ,Body Mass Index ,Young Adult ,Screen time ,medicine ,Humans ,Exercise ,Life Style ,Nutrition and Dietetics ,business.industry ,Anthropometry ,medicine.disease ,Obesity ,Diet ,Socioeconomic Factors ,Child, Preschool ,Gestation ,Marital status ,Female ,medicine.symptom ,business ,Demography - Abstract
BACKGROUND Longitudinal data investigating tracking of children's lifestyle behaviors and predictors of childhood obesity are limited. OBJECTIVES We examined changes in children's lifestyle behaviors (dietary, physical activity, and screen time) from ages 2-5 y to determine if maternal sociodemographic factors and BMI predict child obesity at 3.5 y and 5 y. METHODS Data were obtained from 667 first-time mothers who were recruited into the Healthy Beginnings Trial at 24-34 weeks of gestation in Sydney, Australia. Child lifestyle behaviors were assessed using face-to-face questionnaire interviews with mothers. To measure child and maternal anthropometry, BMI (in kg/m2) was calculated using measured height and weight. Children were categorized as overweight or obese based on the International Obesity Task Force criteria. We used 1-factor repeated-measures ANOVA to track preschoolers' lifestyle behaviors and multiple logistic regression to determine obesity predictors. RESULTS In children aged 2-5 y, consumption of vegetables (ηp2 = 0.06; P
- Published
- 2020
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