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Predictors of height in Romanian infants 6-23 months old: findings from a national representative sample
Ecaterina Stativa1, Adrian V Rus2, Wesley C Lee2
1The National Institute for Mother and Child Health 'Alessandrescu-Rusescu', Bucharest, Romania.
Insights
This study identified key factors affecting infant height in Romania. Rural living, preterm birth, and anemia were linked to lower height-for-age z-scores (HAZ), while higher socioeconomic status and older maternal age were associated with better outcomes.
Area of Science:
- Pediatric Nutrition
- Public Health
- Growth Monitoring
Background:
- Lack of data on infant height and associated factors in Romania.
- Focus on a critical developmental period (6-23 months).
Purpose of the Study:
- To investigate associations between infant height-for-age z-scores (HAZ) and demographic/socioeconomic factors in Romania.
- Identify risk factors for suboptimal infant growth.
Main Methods:
- Nationally representative sample of 1532 infants (6-23 months).
- Utilized family physicians database and World Health Organization (WHO) growth standards.
- Multiple regression analysis to assess predictors of HAZ.
Main Results:
- Lower HAZ linked to rural residence, preterm birth, older infant age (18-23 months), unmarried mothers, anemia, and insufficient dietary diversity (MDD).
- Higher HAZ associated with medium/high maternal socioeconomic status (SES) and older maternal age.
- Birth order (third or later) also predicted lower HAZ.
Conclusions:
- Significant predictors of infant height identified, highlighting Romania's specific challenges.
- Interventions targeting identified risk factors are crucial for improving growth outcomes in vulnerable Romanian infants.
Background:
The research explored the association between infants' height and various demographic factors in Romania, a country where such critical information has been lacking.
Methods:
This study was conducted on a nationally representative sample and used a family physicians database to determine a sample of 1532 children (713 girls and 819 boys) 6-23 months of age (M = 14.26; SD = 5.15). Infants' height-for-age z-scores (HAZ) were calculated using the World Health Organization's computing algorithm. A multiple regression analysis was conducted to investigate whether certain risk factors, such as infant mother's age, location, marital status, socioeconomic status (SES), as well as infant's term status at birth, age, anemia, minimum dietary diversity (MDD) and birth order, could significantly predict the HAZ.
Results:
The study identified several significant predictors of height. Specifically, lower HAZ was associated with rural living, preterm birth, age 18-23 months, unmarried mothers, anemia, lack of MDD and being third or later born in the family. In contrast, higher HAZ was associated with medium or high maternal SES and older maternal age.
Conclusions:
The study underscores the importance of addressing these significant risk factors through distinct interventions to improve height outcomes in at-risk Romanian populations.
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