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Early growth faltering in healthy term infants predicts longitudinal growth
Erin S Ross1, Nancy F Krebs, A Laurie W Shroyer
1Section of Nutrition, Department of Pediatrics, School of Medicine, University of Colorado Denver, Aurora, CO 80045, USA. erin.ross@ucdenver.edu
Insights
A significant drop in infant weight-for-age between 4-6 months can predict later growth faltering. This early warning sign helps identify infants needing closer monitoring for optimal child development.
Area of Science:
- Pediatrics
- Child Health
- Growth Monitoring
Background:
- Current infant growth monitoring may miss early signs of growth faltering.
- Identifying problematic negative weight shifts is challenging for healthcare providers.
Purpose of the Study:
- To assess if early weight-for-age deceleration predicts later growth faltering.
- To establish a reliable indicator for identifying at-risk infants.
Main Methods:
- Analyzed longitudinal data of 1978 healthy infants (birth to 2 years).
- Employed logistic regression to evaluate negative weight-for-age changes across well-child visits.
- Used 2000 CDC and 2006 WHO growth charts for sensitivity analyses.
Main Results:
- A negative shift in z-scores ≥ -0.85 between 4-6 months increased the odds of growth faltering by 2.4.
- The model remained significant using both CDC and WHO growth charts.
- Underweight prevalence varied: 24% overall, 14.7% with 2006 WHO charts.
Conclusions:
- A downward shift in weight-for-age during early infancy is a valid predictor of later poor growth.
- This indicator can be utilized during frequent well-child visits.
- Supports early identification and intervention for at-risk infants.
Background:
Early growth monitoring may not identify infants at-risk for later growth faltering because it is difficult for the provider to recognize how large of a negative shift might be problematic.
Aim:
The aim of this study was to determine whether a slowing in early weight-for-age could be used to identify children at increased risk of later growth faltering.
Methods:
Longitudinal data for infants aged birth to two years were analyzed for 1978 healthy, term infants born between 1999-2001. Logistic regression techniques were used to determine whether a negative change in weight-for-age, across well-child visit intervals, can identify infants at risk for growth faltering.
Results:
The period prevalence of underweight was 24%. The odds ratio (OR) for infants with a negative shift in z-scores>or=-0.85 between four and six months was 2.4 (95% CI 1.5, 3.9) compared to those without this shift, holding birth weight constant. Sensitivity analyses revealed that the model was significant when either the 2000 CDC growth charts (p<0.0001) or the 2006 WHO growth charts (p<0.0001) were used as the reference, although the prevalence of underweight was lower (14.7%) when the 2006 WHO growth charts were the reference.
Conclusion:
The findings support the hypothesis that a downward shift in weight-for-age of this magnitude during early infancy when well-child visits are most frequent can be used to identify children at risk of later poor growth.
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