Prevalence & Profile of Anemia in Children of Age 6-59 Months: A Hospital-Based Cross-Sectional Study
Creators
- 1. Assistant Professor, Department of Pediatrics, Kalpana Chawla Government Medical College, Karnal, Haryana
- 2. Senior Resident, Department of Pediatrics, Kalpana Chawla Government Medical College, Karnal, Haryana
- 3. Associate Professor, Department of Pathology, Kalpana Chawla Government Medical College, Karnal, Haryana
- 4. Medical Student, Kalpana Chawla Government Medical College, Karnal, Haryana
Description
Introduction: Anaemia is a global public health concern that affects people in both high and low-socio-economic nations and is an issue for teenage girls, females of childbearing age (especially when the patient is pregnant), and young children. It hurts the overall health status of women & increases the risk of adverse maternal & neonatal outcomes. Globally, around two billion people are affected by anaemia. The study concluded that in these Indian infants, haemoglobin level was significantly related to iron status; however, maternal haemoglobin level, household affluence, and food shortages were also significant determinants. Aims: To find out the prevalence of anaemia and analyze the associated socio-economic factors of pediatric anaemia. Objectives: To estimate the prevalence of anaemia and evaluate the types and risk factors associated with anaemia. Methods: This is a prospective cross-sectional observational study conducted on 323 pediatric patients of age from 6 months to 5 years who visited the pediatric ward. The patients were determined for anaemia (as per WHO criteria), Protein Energy Malnutrition (PEM) by assessing Z-score, and socio-economic status as per the Kuppuswamy index. Statistical analysis (Chi-square) was carried out and prevalence and its associated socioeconomic factors were determined. Results: The study found the degree of anaemia and mean level of haemoglobin in each age range and found that there is a significant number of patients with anemia (78.6%). Those patients who did not have anemia are either taking iron supplementation bi-weekly or irregularly (p<0.05). The study also found that joint families and children whose mothers are working have a high prevalence of anemia. Also, it was found that 37.4% of the patients had severe underweight, 46.1% had severe wasting and 34.6% of patients had severe stunting. Conclusion: The study has concluded that anaemia is higher in children who do not receive the required nutritional care and those who are from lower and upper-lower socio-economic classes.
Abstract (English)
Introduction: Anaemia is a global public health concern that affects people in both high and low-socio-economic nations and is an issue for teenage girls, females of childbearing age (especially when the patient is pregnant), and young children. It hurts the overall health status of women & increases the risk of adverse maternal & neonatal outcomes. Globally, around two billion people are affected by anaemia. The study concluded that in these Indian infants, haemoglobin level was significantly related to iron status; however, maternal haemoglobin level, household affluence, and food shortages were also significant determinants. Aims: To find out the prevalence of anaemia and analyze the associated socio-economic factors of pediatric anaemia. Objectives: To estimate the prevalence of anaemia and evaluate the types and risk factors associated with anaemia. Methods: This is a prospective cross-sectional observational study conducted on 323 pediatric patients of age from 6 months to 5 years who visited the pediatric ward. The patients were determined for anaemia (as per WHO criteria), Protein Energy Malnutrition (PEM) by assessing Z-score, and socio-economic status as per the Kuppuswamy index. Statistical analysis (Chi-square) was carried out and prevalence and its associated socioeconomic factors were determined. Results: The study found the degree of anaemia and mean level of haemoglobin in each age range and found that there is a significant number of patients with anemia (78.6%). Those patients who did not have anemia are either taking iron supplementation bi-weekly or irregularly (p<0.05). The study also found that joint families and children whose mothers are working have a high prevalence of anemia. Also, it was found that 37.4% of the patients had severe underweight, 46.1% had severe wasting and 34.6% of patients had severe stunting. Conclusion: The study has concluded that anaemia is higher in children who do not receive the required nutritional care and those who are from lower and upper-lower socio-economic classes.
Files
IJPCR,Vol15,Issue1,Article156.pdf
Files
(376.3 kB)
Name | Size | Download all |
---|---|---|
md5:2009b0f760422e239f0498f97c9ed784
|
376.3 kB | Preview Download |
Additional details
Dates
- Accepted
-
2023-01-06
Software
- Repository URL
- https://impactfactor.org/PDF/IJPCR/15/IJPCR,Vol15,Issue1,Article156.pdf
- Development Status
- Active
References
- 1. Glossary. (n.d.). Globalnutrition report. org. Retrieved December 16, 2022, from https://globalnutrition report.org/ reports/2020-global-nutritionreport/glossary/. 2. Souza, A. I. de, & Batista Filho, M. Diagnóstico e tratamento das anemias carenciaisnagestação: consensos e controvérsias. Revista Brasileira de Saúde Materno Infantil, 2003; 3(4): 473–479. 3. Elmardi K. A., Adam I., Malik E. M., Abdelrahim T. A., Elhag M. S., Ibrahim A. A., Babiker M. A., Elhassan A. H., Kafy H. T., Elshafie A. T., Nawai L. M., Abdin M. S., & Kremers S. Prevalence and determinants of anaemia in women of reproductive age in Sudan: analysis of a cross-sectional household survey. BMC Public Health, 2020;20(1). 4. Nagata, J. M., Gatti, L. R., & Barg, F. K. Social determinants of iron supplementation among women of reproductive age: a systematic review of qualitative data. Maternal & Child Nutrition, 2011; 8(1): 1–18. 5. Osório M. M., Lira P. I. C., & Ashworth A. Factors associated with Hb concentration in children aged 6– 59 months in the State of Pernambuco, Brazil. British Journal of Nutrition,2004; 91(2): 307–314. 6. Gebereselassie Y., Birhan Selassie M., Menjetta T., Alemu J., & Tsegaye A. Magnitude, Severity, and Associated Factors of Anemia among Under-Five Children Attending Hawassa University Teaching and Referral Hospital, Hawassa, Southern Ethiopia, 2016. Anemia, 2020; 1–6. 7. Pasricha S.R., Black J., Muthayya S., Shet A., Bhat V., Nagaraj S., Prashanth N. S., Sudarshan H., Biggs B.A., & Shet A. S. Determinants of Anemia Among Young Children in Rural India. Pediatrics, 2010; 126(1): e140–e149. 8. Kawo K. N., Asfaw Z. G., & Yohannes N. Multilevel Analysis of Determinants of Anemia Prevalence among Children Aged 6–59 Months in Ethiopia: Classical and Bayesian Approaches. Anemia, 2018; 1–13. 9. Cameron B. M., & Neufeld L. M. Estimating the prevalence of iron deficiency in the first two yearsof life: technical and measurement issues. Nutrition Reviews, 2011; 69: S49–S56. 10. Kawo, K. N., Asfaw, Z. G., & Yohannes, N. Multilevel Analysis of Determinants of Anemia Prevalence among Children Aged 6–59 Months in Ethiopia: Classical and Bayesian Approaches. Anemia, 2018; 1–13 11. Kawo, K. N., Asfaw, Z. G., & Yohannes, N. Multilevel Analysis of Determinants of Anemia Prevalence among Children Aged 6–59 Months in Ethiopia: Classical and Bayesian Approaches. Anemia, 2018; 1–13. 12. Tesema G. A., Worku M. G., Tessema Z. T., Teshale A. B., Alem A. Z., Yeshaw Y., Alamneh T. S., & Liyew A. M., Prevalence and determinants of severity levels of anemia among children aged 6–59 months in subSaharan Africa: A multilevel ordinal logistic regression analysis. PLOS ONE, 2021; 16(4): e0249978. 13. Maulide Cane R., Chidassicua J. B., Varandas L., & Craveiro I. Anemia in Pregnant Women and Children Aged 6 to 59 Months Living in Mozambique and Portugal: An Overview of Systematic Reviews. International Journal of Environmental Research and Public Health, 2022;19(8): 4685. 14. Leal, L. P., Batista Filho, M., Lira, P. I. C. de, Figueiroa, J. N., & Osório, M. M. (2011). Prevalência da anemia e fatores associadosemcrianças de seis a 59 meses de Pernambuco. Revista de Saúde Pública, 2011; 45(3):457–466. 15. Keokenchanh, S., Kounnavong, S., Midorikawa, K., Ikeda, W., Morita, A., Kitajima, T., & Sokejima, S. Prevalence of anemia and its associated factors among children aged 6–59 months in the Lao People's Democratic Republic: A multilevel analysis. PLOS ONE, 2021; 16(3): e0248969. 16. Anayo N. K., Guinhouya K. M., Apetse K., Agba L., Assogba K., Belo M., & Balogou K. A. Posterior Reversible Encephalopathy Syndrome. A case report. Journal of Medical Research and Health Sciences, 2022; 5(3): 1804–1807.