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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Birth outcomes and early growth patterns associated with age at adiposity rebound: the Ma'anshan birth cohort (MABC)
Jixing Zhou1,2,3,4, Yuzhu Teng1,2,3,4, Shanshan Zhang1,2,3,4
1Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Insights
Early adiposity rebound (AR) is linked to higher obesity risk. Birth outcomes like low birth weight and rapid weight gain in infancy increase the risk of early AR in children.
Area of Science:
- Pediatric Endocrinology
- Developmental Pediatrics
- Obesity Research
Background:
- Early onset of adiposity rebound (AR) is a significant predictor of future obesity.
- Understanding the factors influencing early AR is crucial for developing preventative strategies.
Purpose of the Study:
- To investigate the association between birth outcomes and early physical growth patterns with the timing of adiposity rebound in children.
- To identify key developmental trajectories linked to an increased risk of early AR.
Main Methods:
- Utilized data from 2705 children in the Ma'anshan Birth Cohort (MABC).
- Employed group-based trajectory modeling (GBTM) to identify physical growth patterns.
- Analyzed body mass index (BMI), waist circumference, body fat, and rapid weight gain (RWG) in the first two years of life.
Main Results:
- High BMI, waist circumference, and body fat trajectories before 72 months were associated with a greater risk of early AR.
- Low birth weight, preterm birth, and small for gestational age increased the risk of early AR.
- Rapid weight gain (RWG) and specific BMI trajectories (low or rising) in the first two years also elevated the risk of developing early AR.
Conclusions:
- Children exhibiting high adiposity indicators or specific early growth patterns (RWG, certain BMI trajectories) face a higher likelihood of early adiposity rebound.
- Identifying these early risk factors is essential for understanding and mitigating metabolic risks associated with childhood obesity.
Objective:
Early onset of adiposity rebound (AR) is considered an early indicator of obesity risk. Our objective was to investigate the association of birth outcomes and early physical growth patterns with early AR in children.
Methods:
Study subjects (n = 2705) were enrolled from the Ma'anshan birth cohort (MABC). The body mass index (BMI), head circumference, waist circumference, and body fat were collected. Rapid weight gain (RWG) was defined by the change in weight standard-deviation score in the first two years of life. Group-based trajectory modeling (GBTM) was used to determine children's physical growth trajectories. The age of AR was fitted using fractional polynomial function models.
Results:
Children with very high BMI trajectories (RR = 2.83; 95% CI 2.33 to 1.40), rising BMI trajectories (RR = 3.15; 95% CI 2.66 to 3.72), high waist circumference trajectories (RR = 4.17; 95% CI 3.43 to 5.06), and high body fat trajectories (RR = 3.01; 95% CI 2.62 to 3.46) before 72 months of age were at a greater risk of experiencing early AR. Low birth weight (LBW) (RR = 1.86; 95% CI 1.28 to 2.51), preterm birth (PTB) (RR = 1.50; 95% CI 1.17 to 1.93), and small for gestational age (SGA) (RR = 1.37; 95% CI 1.14 to 1.64) associated with increased risk of early AR. Moreover, infants experiencing RWG (RR = 1.59; 95% CI 1.40 to 1.83), low BMI trajectories (RR = 1.27; 95% CI 1.06 to 1.53) and rising BMI trajectories (RR = 1.50; 95% CI 1.22 to 1.84) in the first two years were at higher risk of developing early AR subsequently. Compared to the group with non-early AR, the BMI of children with early AR tended to be lower first (from birth to 6 months of age) and then higher (from 18 to 72 months of age).
Conclusions:
Children with overall high BMI, high waist circumference, and high body fat before 72 months of age are more likely to experience early AR, but infants with low BMI trajectories, rising BMI trajectories and infants experiencing RWG in the first two years of life similarly increase the risk of early AR. These results can help to understand the early factors and processes that lead to metabolic risks.
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