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Birth weight and infant growth: optimal infant weight gain versus optimal infant weight
Xu Xiong1, Joan Wightkin, Jeanette H Magnus
1Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, Tidewater Building Suite 2022, 1440 Canal Street, New Orleans, LA, 70112, USA. xxiong@tulane.edu
Insights
Infant weight gain percentage (IWG%) varied inversely with birth weight. Despite lower measures, low birth weight infants showed catch-up growth, while high birth weight infants experienced slower growth.
Area of Science:
- Pediatrics
- Human Growth and Development
- Nutritional Science
Background:
- Current infant growth assessments often prioritize absolute weight and length at specific ages.
- There is a de-emphasis on evaluating infant weight gain patterns relative to birth weight.
Purpose of the Study:
- To investigate infant growth trajectories by analyzing infant weight gain relative to birth weight.
- To assess the relationship between birth weight categories and infant weight gain percentage (IWG%).
Main Methods:
- Prospective cohort study of 3,302 infants aged 8-18 months.
- Growth assessed using infant weight gain percentage (IWG%) and CDC growth charts for weight-for-age, length-for-age, and weight-for-length z-scores and percentiles.
- Data collected from Louisiana State Women, Infant and Children Supplemental Food Program (1999-2001).
Main Results:
- An inverse relationship was observed between birth weight category and IWG%, with lower birth weights showing higher IWG%.
- Low birth weight infants had lower weight-for-age and weight-for-length z-scores and percentiles compared to normal birth weight infants.
- High birth weight infants exhibited slower growth patterns compared to their low birth weight counterparts.
Conclusions:
- Low birth weight infants demonstrate significant catch-up growth despite initial lower anthropometric measures.
- High birth weight infants show a significant slowdown in growth.
- Recommend comparing infant anthropometric data to previous personal growth measures alongside a reference population for comprehensive assessment.
Objective:
Infant growth assessment often focuses on "optimal" infant weights and lengths at specific ages, while de-emphasizing infant weight gain. Objective of this study was to examine infant growth patterns by measuring infant weight gain relative to birth weight.
Methods:
We conducted this study based on data collected in a prospective cohort study including 3,302 births with follow up examinations of infants between the ages of 8 and 18 months. All infants were participants in the Louisiana State Women, Infant and Children Supplemental Food Program between 1999 and 2001. Growth was assessed by infant weight gain percentage (IWG%, defined as infant weight gain divided by birth weight) as well as by mean z-scores and percentiles for weight-for-age, length-for-age, and weight-for-length calculated based on growth charts published by the U.S. Centers for Disease Control (CDC).
Results:
An inverse relationship was noted between birth weight category and IWG% (from 613.9% for infants with birth weights <1500 g to 151.3% for infants with birth weights of 4000 g or more). In contrast, low birth weight infants had lower weight-for-age, weight-for-length z-scores and percentiles compared to normal birth weight infants according to CDC growth charts.
Conclusions:
Although low birth weight infants had lower anthropometric measures compared to a national reference population, they had significant catch-up growth; High birth weight infants had significant slow-down growth. We suggest that growth assessments should compare infants' anthropometric data to their own previous growth measures as well as to a reference population. Further studies are needed to identify optimal ranges of infant weight gain.
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