Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis
Background: Anemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Published: |
BioMed Central
2019
|
| Subjects: |
| _version_ | 1825721970105253888 |
|---|---|
| author | Yusuf, Abu Mamun, A.S.M.A. Kamruzzaman, Md. Saw, Aik Abo El-fetoh, Nagah M. Lestrel, Pete E. Hossain, Md. Golam |
| author_facet | Yusuf, Abu Mamun, A.S.M.A. Kamruzzaman, Md. Saw, Aik Abo El-fetoh, Nagah M. Lestrel, Pete E. Hossain, Md. Golam |
| author_sort | Yusuf, Abu |
| collection | UM |
| description | Background: Anemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh after removing a cluster effect of the population, and to determine the prevalence of this condition. Methods: Data for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis. Results: Data from 2231 children aged 6-59 months were included for analysis. The prevalence of child anemia was noted to be 52.10%. Among these anemic children, 48.40% where from urban environment and 53.90% were from rural areas. The prevalence of mild, moderate and severe anemia among children was 57.10, 41.40 and 1.50% respectively. The two-level logistic regression model revealed that the following factors were associated with childhood anemia: children of anemic mothers (p < 0.01), undernourished children (p < 0.05), younger children (age < 2 years) (p < 0.01) and children from poor family (p < 0.05). Lastly, anemia was more common among children living in Barisal and Rangpur divisions compared to those from Dhaka division (p < 0.01), and among non-Muslims than Muslim (p < 0.05). Conclusions: Our study showed that prevalence of anemia among pre-school children in Bangladesh was very high (52.10%). We noted that young children of anemic mothers, from poor families, and being undernourished were at higher risk of developing anemia. Since most of these risk factors were related to socioeconomic conditions, they were potentially modifiable. Therefore, our findings may be useful for the health authorities to identify children at risk for remedial action and to plan for preventive measures. |
| first_indexed | 2024-03-06T05:58:28Z |
| format | Article |
| id | um.eprints-22945 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:58:28Z |
| publishDate | 2019 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | um.eprints-229452019-11-04T06:58:39Z http://eprints.um.edu.my/22945/ Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis Yusuf, Abu Mamun, A.S.M.A. Kamruzzaman, Md. Saw, Aik Abo El-fetoh, Nagah M. Lestrel, Pete E. Hossain, Md. Golam R Medicine Background: Anemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh after removing a cluster effect of the population, and to determine the prevalence of this condition. Methods: Data for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis. Results: Data from 2231 children aged 6-59 months were included for analysis. The prevalence of child anemia was noted to be 52.10%. Among these anemic children, 48.40% where from urban environment and 53.90% were from rural areas. The prevalence of mild, moderate and severe anemia among children was 57.10, 41.40 and 1.50% respectively. The two-level logistic regression model revealed that the following factors were associated with childhood anemia: children of anemic mothers (p < 0.01), undernourished children (p < 0.05), younger children (age < 2 years) (p < 0.01) and children from poor family (p < 0.05). Lastly, anemia was more common among children living in Barisal and Rangpur divisions compared to those from Dhaka division (p < 0.01), and among non-Muslims than Muslim (p < 0.05). Conclusions: Our study showed that prevalence of anemia among pre-school children in Bangladesh was very high (52.10%). We noted that young children of anemic mothers, from poor families, and being undernourished were at higher risk of developing anemia. Since most of these risk factors were related to socioeconomic conditions, they were potentially modifiable. Therefore, our findings may be useful for the health authorities to identify children at risk for remedial action and to plan for preventive measures. BioMed Central 2019 Article PeerReviewed Yusuf, Abu and Mamun, A.S.M.A. and Kamruzzaman, Md. and Saw, Aik and Abo El-fetoh, Nagah M. and Lestrel, Pete E. and Hossain, Md. Golam (2019) Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis. BMC Pediatrics, 19 (1). p. 213. ISSN 1471-2431, DOI https://doi.org/10.1186/s12887-019-1581-9 <https://doi.org/10.1186/s12887-019-1581-9>. https://doi.org/10.1186/s12887-019-1581-9 doi:10.1186/s12887-019-1581-9 |
| spellingShingle | R Medicine Yusuf, Abu Mamun, A.S.M.A. Kamruzzaman, Md. Saw, Aik Abo El-fetoh, Nagah M. Lestrel, Pete E. Hossain, Md. Golam Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis |
| title | Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis |
| title_full | Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis |
| title_fullStr | Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis |
| title_full_unstemmed | Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis |
| title_short | Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis |
| title_sort | factors influencing childhood anaemia in bangladesh a two level logistic regression analysis |
| topic | R Medicine |
| work_keys_str_mv | AT yusufabu factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis AT mamunasma factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis AT kamruzzamanmd factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis AT sawaik factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis AT aboelfetohnagahm factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis AT lestrelpetee factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis AT hossainmdgolam factorsinfluencingchildhoodanaemiainbangladeshatwolevellogisticregressionanalysis |