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Predictors of growth velocity in early infancy in a resource-poor setting
Bolajoko O Olusanya1, James K Renner
1Maternal and Child Health Unit, Department of Community Health and Primary Care, College of Medicine, University of Lagos, Lagos, Nigeria. boolusanya@aol.com
Insights
Maternal factors predict early infant growth, with preterm infants needing timely intervention to prevent long-term health issues. This study analyzed infant growth velocity in Nigeria.
Area of Science:
- Pediatrics
- Neonatology
- Public Health
Background:
- Early infant growth is crucial for long-term health outcomes.
- Resource-poor settings present unique challenges to monitoring infant growth.
- Understanding growth velocity predictors is essential for timely interventions.
Purpose of the Study:
- To determine the pattern and predictors of infant growth velocity in a resource-poor setting.
- To identify maternal and infant factors influencing early growth.
- To compare different mathematical models for assessing growth velocity.
Main Methods:
- A cohort of preterm and full-term infants in Lagos, Nigeria was studied.
- Weight velocity was calculated using three established mathematical methods.
- Multiple linear regression identified predictive factors for weight velocity.
Main Results:
- Maternal age, HIV status, and antenatal care were linked to lower growth velocity.
- Male infants, low birthweight, and fetal growth restriction showed higher growth velocity.
- Higher growth velocity correlated with lower birthweight (catch-up growth) and higher gestational age.
Conclusions:
- Maternal factors significantly influence early infant growth trajectories.
- Preterm infants require prompt interventions to mitigate risks of suboptimal growth and developmental consequences.
Objective:
To determine the pattern and predictors of growth velocity in early infancy in a resource-poor setting.
Methods:
Weight velocity between birth and first postnatal visit was determined in a cohort of preterm and full-term infants in Lagos, Nigeria using three mathematical methods reported in the literature. Maternal and infant factors predictive of weight velocity were identified by multiple linear regression analysis.
Results:
Overall, 658 infants were enrolled with mean gestational age of 37.7±2.0 weeks, birthweight of 3.2±0.6 kg and median age of 45 (interquartile range: 42-48) days at follow-up. Offspring of older and HIV-positive mothers had significantly lower mean weight velocities while male infants and those with low birthweight and fetal growth restriction had significantly higher mean weight velocity than their peers. These patterns were consistent across the three growth models. Maternal age (p=0.004), antenatal care (p=0.007), HIV-status (p=0.008) and gender (p<0.001) were predictive of weight velocity. Higher weight velocity was strongly associated with lower birthweight (p<0.001) indicative of "catch-up" growth as well as with higher gestational age (p<0.001).
Conclusions:
While maternal status is predictive of early growth faltering, preterm infants warrant timely intervention to forestall/minimise the potential health and developmental consequences associated with their sub-optimal growth trajectory.
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