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Updated: May 26, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis
Céline Druet1, Nicolas Stettler, Stephen Sharp
1MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK.
Insights
Infant weight gain strongly predicts childhood obesity. A risk score combining infant weight, birthweight, mother's BMI, and sex can identify at-risk infants early.
Area of Science:
- Pediatrics
- Public Health
- Epidemiology
Background:
- Childhood obesity is a growing public health concern.
- Early identification of at-risk infants is crucial for timely intervention.
- Predictive factors for obesity development require further investigation.
Purpose of the Study:
- To evaluate the predictive capability of infant weight gain for subsequent obesity.
- To develop and validate a risk score for identifying infants at risk of childhood obesity.
Main Methods:
- Meta-analysis of individual-level data from 10 cohort studies (n=47,661).
- Calculation of weight standard deviation (SD) scores at birth and 1 year using the British 1990 reference.
- Definition of childhood obesity using International Obesity Task Force criteria.
Main Results:
- Each +1 unit increase in weight SD score between 0-1 year increased the risk of childhood obesity by twofold (OR=1.97) and adult obesity by 23% (OR=1.23).
- A risk score incorporating infant weight gain (0-1 year), mother's BMI, birthweight, and sex demonstrated moderate predictive ability for childhood obesity (AUC=77%).
- A similar risk score for childhood overweight also showed good predictive ability (AUC=76%).
Conclusions:
- Infant weight gain is a consistent predictor of subsequent obesity.
- A composite risk score can effectively stratify infants for early obesity risk assessment.
- Early identification facilitates timely interventions to mitigate obesity development.
Abstract:
To assess the predictive ability of infant weight gain on subsequent obesity we performed a meta-analysis of individual-level data on 47,661 participants from 10 cohort studies from the UK, France, Finland, Sweden, the US and Seychelles. For each individual, weight SD scores at birth and age 1 year were calculated using the same external reference (British 1990). Childhood obesity was defined by International Obesity Task Force criteria. Each +1 unit increase in weight SD scores between 0 and 1 year conferred a twofold higher risk of childhood obesity (odds ratio = 1.97 [95% confidence interval (CI) 1.83, 2.12]), and a 23% higher risk of adult obesity (odds ratio = 1.23 [1.16, 1.30]), adjusted for sex, age and birthweight. There was little heterogeneity between studies. A risk score for childhood obesity comprising weight gain 0-1 year, mother's body mass index, birthweight and sex was generated in a random 50% selection of individuals from general population cohorts with available information (n = 8236); this score showed moderate predictive ability in the remaining 50% sample (area under receiving operating curve = 77% [95% CI 74, 80%]). A separate risk score for childhood overweight showed similar predictive ability (area under receiving operating curve = 76% [73, 79%]). In conclusion, infant weight gain showed a consistent positive association with subsequent obesity. A risk score combining birthweight and infant weight gain (or simply infant weight), together with mother's body mass index and sex may allow early stratification of infants at risk of childhood obesity.
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