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Updated: Apr 10, 2026

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
Socio-economic and demographic determinants of childhood anemia
Sankar Goswmai1, Kishore K Das2
1Department of Statistics, Gurucharan College, Silchar, India.
Insights
Anemia affects nearly 70% of Indian children under five, with higher risks in rural areas and disadvantaged groups. Addressing poverty, maternal health, and education is crucial for prevention.
Area of Science:
- Pediatric Nutrition
- Public Health
- Epidemiology
Background:
- Childhood anemia remains a significant public health concern in India.
- Socio-economic and demographic factors are known to influence anemia prevalence.
Purpose of the Study:
- To identify socio-economic and demographic determinants of anemia in Indian children aged 6-59 months.
- To analyze risk factors associated with different degrees of child anemia.
Main Methods:
- Cross-sectional analysis of 40,885 children from the 2005-2006 National Family Health Survey.
- Multinomial logistic regression and Pearson's chi-squared test were used to assess risk factors and associations.
Main Results:
- Anemia prevalence was 69.5% (26.2% mild, 40.4% moderate, 2.9% severe).
- Higher prevalence observed in rural areas, with increasing trends up to 2 years of age.
- Risk factors included higher birth order, poverty, low maternal education, maternal anemia, and vegetarian diet. Scheduled Castes, Tribes, and Other Backward Classes faced higher risks.
Conclusions:
- Targeted interventions for economically disadvantaged groups are essential.
- Improving maternal nutrition, education, and family planning are key preventive strategies.
Objective:
To evaluate socio-economic and demographic determinants of anemia among Indian children aged 6-59 months.
Methods:
Statistical analysis was performed on the cross-sectional weighted sample of 40,885 children from 2005 to 2006 National Family Health Survey by using multinomial logistic regression to assess the significance of some risk factors in different degrees of child anemia. Anemia was diagnosed by World Health Organization (WHO) cut-off points on hemoglobin level. Pearson's chi-squared test was applied to justify the associations of anemia with different categories of the study population.
Results:
The prevalence of anemia was 69.5%; 26.2% mild, 40.4% moderate, and 2.9% severe anemia. Overall prevalence rate, along with mild and moderate cases, showed an increasing trend up to 2 years of age and then decreased. Rural children had a higher prevalence rate. Of 28 Indian states in the study, 10 states showed very high prevalence, the highest being Bihar (77.9%). Higher birth order, high index of poverty, low level of maternal education, mother's anemia, non-intake of iron supplements during pregnancy, and vegetarian mother increased the risks of all types of anemia among children (p<0.05). Christian population was at lower risk; and Scheduled Caste, Scheduled Tribe, and Other Backward Class categories were at higher risk of anemia.
Conclusion:
The results suggest a need for proper planning and implementation of preventive measures to combat child anemia. Economically under-privileged groups, maternal nutrition and education, and birth control measures should be priorities in the programs.
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