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Updated: Mar 31, 2026

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
Prevalence and predictors of anaemia in Romanian infants 6-23 months old
E Stativa1, A V Rus2, A Stanescu1
1The Institute for Mother and Child Care 'Alfred Rusescu', Bucharest, Romania.
Insights
Anaemia affects nearly half of Romanian infants aged 6-24 months. A predictive model identified key risk factors, including male sex and rural living, to aid early detection and treatment.
Area of Science:
- Pediatric Public Health
- Nutritional Epidemiology
- Child Development
Background:
- Anaemia poses significant risks to children's physical and neurodevelopment.
- It remains a critical public health concern in Romania.
- Previous studies highlighted the prevalence and impact of anaemia in young children.
Purpose of the Study:
- To investigate the epidemiology of anaemia in Romanian infants.
- To identify significant risk factors associated with anaemia.
- To develop a predictive model for identifying infants at risk.
Main Methods:
- Utilized data from 1532 infants aged 6-24 months from a national cross-sectional survey.
- Employed multiple logistic regression analysis.
- Analyzed demographic variables and haemoglobin concentration.
Main Results:
- A high prevalence of anaemia (46%) was observed in the sample (Hb < 11.0 g/dl).
- Several risk factors were significantly associated with increased odds of anaemia.
- A five-factor predictive model achieved 67.9% accuracy, identifying male sex, rural residence, birth order, ethnicity (Hungarian), and region as key predictors.
Conclusions:
- Despite a slight decrease from previous studies, anaemia remains a substantial public health issue in Romania.
- The developed predictive model can enhance the identification and management of anaemia in young children.
- Targeted interventions based on identified risk factors are crucial for reducing anaemia prevalence.
Background:
Anaemia is a public health problem that can lead to a variety of detrimental effects on physical and neurodevelopment in young children. The present study explored the epidemiology of anaemia among infants in Romania, identified risk factors and created a model for predicting it.
Methods:
Data from 1532 infants aged 6-24 months were selected from a larger nationally representative cross-sectional survey. Demographic predictor variables and haemoglobin concentration were extant variables in the data set. Multiple logistic regression was used to determine the best predictors of anaemia.
Results:
Overall, 46% of 6-24 month olds in the sample had anaemia (Hb < 11.0 g/dl). A variety of risk factors were associated with significantly greater odds of anaemia, but a five-factor model best predicted it (67.9% accuracy). These predictors included being male, living in a rural area, being third born or later, being a Hungarian and living in the South, South-West or West region of Romania.
Conclusions:
While data indicate a modest decrease in anaemia from earlier Romanian studies, it remains a significant problem. Models like this one have the potential to improve identification and treatment of anaemia in young children.
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