Odds of Developing Overweight or Obesity Increase with Height Decile in Tall Healthy Weight Kindergarteners: Longitudinal Results from the West Virginia Coronary Artery Risk Detection In Appalachian Communities (WV CARDIAC) Project
Year: 2025
Type: article
Abstract: Objective: Childhood obesity is a strong predictor of adult obesity and chronic health complications. Prevention initiatives are most successful when implemented before excess weight gain, but tools to screen healthy weight children for obesity risk are lacking. Laboratory studies suggest that tall stature could be an early indicator of later obesity. We sought to test the hypothesis that kindergarten height is associated with body mass index (BMI) trajectories through second and fifth grade in Appalachian school children. Study design: Children with BMI data in kindergarten and second or fifth grade (n = 9059) were obtained from the West Virginia Coronary Artery Risk Detection In Appalachian Communities (WV CARDIAC) Project. BMI percentile trajectories were calculated using high performance mixed modeling to save the best linear unbiased predictor random effect slopes. Subset analyses were performed on children with healthy weight BMI in kindergarten (n = 5786). Linear mixed models on BMI trajectories and logistic regression models on children in the second or fifth grade with overweight/obesity were conducted. Results: < .0001). For children in the healthy BMI weight category, the odds of developing overweight/obesity increased with each height decile. The tallest children in kindergarten (top decile) had 3 times the odds of developing overweight/obesity compared with the first decile (OR 2.97, 95% CI 2.15-4.10). Conclusions: Obesity-prevention initiatives could greatly benefit from considering tall stature and rapid growth velocity in early childhood as potential indicators of obesity risk, even if children fit within a healthy BMI category.
Institutions: Marshall University, West Virginia University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,050
OpenAlex ID: W4417138211