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Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis
Authors: Abu Yusuf, A. S. M. A. Mamun, Md. Kamruzzaman, Aik Saw, Nagah M. Abo El-fetoh, Pete E. Lestrel, and Golam Hussain
Source: BMC Pediatrics, 19(1): 1-9; DOI: 10.1186/s12887-019-1581-9
Topic(s): Anemia
Child health
Country: Asia
  Bangladesh
Published: JUN 2019
Abstract: 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?
Web: https://link.springer.com/article/10.1186/s12887-019-1581-9