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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Associations of Hair Biomarkers with Height, Weight, and Body Mass Index in Preschool Children
Anjali Gupta1, Cynthia R Rovnaghi1, Kanwaljeet J S Anand1,2
1Child Wellness Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Insights
Adverse childhood experiences impact child growth. Hair cortisol and oxytocin levels in children and mothers correlate with child BMI, reflecting early life experiences.
Area of Science:
- Pediatric Endocrinology
- Developmental Psychology
- Biomarker Research
Background:
- Adverse childhood experiences (ACEs) are linked to hypothalamic-pituitary-adrenal axis dysregulation.
- This dysregulation can negatively affect child growth and development.
Purpose of the Study:
- To investigate the association between hair cortisol (HCC) and oxytocin (HOC) concentrations in children and mothers with child growth parameters.
- To explore the relationship between maternal ACEs and child growth.
Main Methods:
- The Hair Biomarkers Study (HBS-I) analyzed hair samples from 1189 healthy preschool children.
- Measurements included hair cortisol (HCC) and oxytocin (HOC) via ELISA, alongside anthropometrics.
- Linear regressions examined associations between biomarkers, ACEs, and BMI percentiles, adjusting for sociodemographics.
Main Results:
- Higher child HCC correlated with increased BMI percentile; higher child HOC correlated with decreased BMI.
- Maternal HCC and HOC showed similar associations with child BMI percentiles.
- Maternal ACEs (2-3 vs. 0-1) were linked to increased child weight and BMI percentiles.
Conclusions:
- Hair cortisol and oxytocin levels in children and mothers are associated with child BMI percentiles.
- These hair biomarkers may indicate the impact of early life experiences on child development.
- Findings highlight the potential of hair biomarkers in assessing early childhood growth and environmental influences.
Abstract:
Background: Adverse childhood experiences (ACEs) can lead to hypothalamic-pituitary-adrenal axis dysregulation, negatively impacting child growth and development. Methods: The Hair Biomarkers Study (HBS-I) evaluated healthy preschool children using parent-reported surveys, anthropometrics, and painlessly obtained scalp hair to measure hair cortisol (HCC; ng/mg) and oxytocin concentrations (HOC; ng/mg) via ELISA; log-transformed data were used in analyses. Height, weight, and BMI percentiles were based on CDC growth curves. Linear regressions examined associations of child and maternal hair biomarkers with percentiles, adjusting for sociodemographic factors. Results: The median age was 39.1 months (IQR 23.5-53.0, N = 1189). Higher child Ln-HCC was associated with an increased BMI percentile (0.027; 95%Cl: 0.013, 0.040), while higher child Ln-HOC was associated with a decreased BMI (-0.016; 95%Cl: -0.028, -0.005). Similar significant associations were observed between maternal biomarkers and child growth. In models mutually adjusted for mother and child hair biomarkers, maternal Ln-HCC was associated with an increased BMI percentile (0.036; 95%Cl: 0.003, 0.069), while maternal Ln-HOC was associated with a decreased BMI percentile (-0.034; 95%Cl: -0.052, -0.016). Maternal ACEs of 2-3 vs. 0-1 were associated with increased child weight (0.057; 95%Cl: 0.003, 0.112) and BMI percentiles (0.076; 95%Cl: 0.017, 0.135). Conclusions: We show that higher maternal and child HCC was associated with increased child BMI percentiles, while higher HOC was linked with decreased BMI percentiles. Hair biomarkers may reflect the effects of nurturing vs. adverse experiences during critical windows of growth and development in early childhood.
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