Maternal depression and child BMI: longitudinal findings from a US sample
C S Duarte1, S Shen, P Wu
1Division of Child and Adolescent Psychiatry, Columbia University-NYSPI, New York, NY 10032, USA. cd2003@columbia.edu
Pediatric Obesity
|March 22, 2012
Summary
Maternal depression impacts child body mass index (BMI) differently based on gender and age. Interventions for maternal depression may help reduce childhood obesity risks.
Area of Science:
- Developmental psychology
- Pediatric health
- Mental health research
Background:
- Childhood obesity is a significant public health concern.
- Maternal mental health, specifically depression, may influence child development.
- Understanding the link between maternal depression and child BMI is crucial for early intervention.
Purpose of the Study:
- To investigate the longitudinal association between maternal depressive symptoms (MDSs) and child body mass index (BMI).
- To explore how this association varies by child's gender and developmental stage from Kindergarten to fifth grade.
Main Methods:
- Utilized four waves of data from the Early Childhood Longitudinal Study - Kindergarten.
- Measured maternal depressive symptoms using a brief Center for Epidemiological Studies Depression scale.
- Employed multiple regression analyses, controlling for covariates and restricting the sample to children with normal birth weight.
Main Results:
- The association between MDS and child BMI demonstrated significant gender and age differences.
- Severe MDS in Kindergarten was linked to lower BMI in third grade for girls, and increased BMI from Kindergarten to fifth grade for both genders.
- Severe MDS in Kindergarten predicted higher BMI in fifth grade for boys, while third-grade MDS predicted higher fifth-grade BMI for girls.
Conclusions:
- The relationship between maternal depression and child BMI is complex, showing developmental and gender-specific patterns.
- Interventions targeting maternal depression could potentially mitigate risks for childhood obesity.
- Further research is needed to confirm these findings and elucidate mediating factors like physical activity, screen time, and eating habits.
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