Cargando…

Identifying Predictors of Childhood Anaemia in North-East India

The objective of this study is to examine the factors that influence the occurrence of childhood anaemia in North-East India by exploring dataset of the Reproductive and Child Health-II Survey (RCH-II). The study population consisted of 10,137 children in the age-group of 0-6 year(s) from North-East...

Descripción completa

Detalles Bibliográficos
Autores principales: Dey, Sanku, Goswami, Sankar, Dey, Tanujit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Centre for Diarrhoeal Disease Research, Bangladesh 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905640/
https://www.ncbi.nlm.nih.gov/pubmed/24592587
_version_ 1782301363622903808
author Dey, Sanku
Goswami, Sankar
Dey, Tanujit
author_facet Dey, Sanku
Goswami, Sankar
Dey, Tanujit
author_sort Dey, Sanku
collection PubMed
description The objective of this study is to examine the factors that influence the occurrence of childhood anaemia in North-East India by exploring dataset of the Reproductive and Child Health-II Survey (RCH-II). The study population consisted of 10,137 children in the age-group of 0-6 year(s) from North-East India to explore the predictors of childhood anaemia by means of different background characteristics, such as place of residence, religion, household standard of living, literacy of mother, total children ever born to a mother, age of mother at marriage. Prevalence of anaemia among children was taken as a polytomous variable. The predicted probabilities of anaemia were established via multinomial logistic regression model. These probabilities provided the degree of assessment of the contribution of predictors in the prevalence of childhood anaemia. The mean haemoglobin concentration in children aged 0-6 year(s) was found to be 11.85 g/dL, with a standard deviation of 5.61 g/dL. The multiple logistic regression analysis showed that rural children were at greater risk of severe (OR=2.035; p=0.003) and moderate (OR=1.23; p=0.003) anaemia. All types of anaemia (severe, moderate, and mild) were more prevalent among Hindu children (OR=2.971; p=0.000), (OR=1.195; p=0.010), and (OR=1.201; p=0.011) than among children of other religions whereas moderate (OR=1.406; p=0.001) and mild (OR=1.857; p=0.000) anaemia were more prevalent among Muslim children. The fecundity of the mother was found to have significant effect on anaemia. Women with multiple children were prone to greater risk of anaemia. The multiple logistic regression analysis also confirmed that children of literate mothers were comparatively at lesser risk of severe anaemia. Mother's age at marriage had a significant effect on anaemia of their children as well.
format Online
Article
Text
id pubmed-3905640
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher International Centre for Diarrhoeal Disease Research, Bangladesh
record_format MEDLINE/PubMed
spelling pubmed-39056402014-01-29 Identifying Predictors of Childhood Anaemia in North-East India Dey, Sanku Goswami, Sankar Dey, Tanujit J Health Popul Nutr Original Papers The objective of this study is to examine the factors that influence the occurrence of childhood anaemia in North-East India by exploring dataset of the Reproductive and Child Health-II Survey (RCH-II). The study population consisted of 10,137 children in the age-group of 0-6 year(s) from North-East India to explore the predictors of childhood anaemia by means of different background characteristics, such as place of residence, religion, household standard of living, literacy of mother, total children ever born to a mother, age of mother at marriage. Prevalence of anaemia among children was taken as a polytomous variable. The predicted probabilities of anaemia were established via multinomial logistic regression model. These probabilities provided the degree of assessment of the contribution of predictors in the prevalence of childhood anaemia. The mean haemoglobin concentration in children aged 0-6 year(s) was found to be 11.85 g/dL, with a standard deviation of 5.61 g/dL. The multiple logistic regression analysis showed that rural children were at greater risk of severe (OR=2.035; p=0.003) and moderate (OR=1.23; p=0.003) anaemia. All types of anaemia (severe, moderate, and mild) were more prevalent among Hindu children (OR=2.971; p=0.000), (OR=1.195; p=0.010), and (OR=1.201; p=0.011) than among children of other religions whereas moderate (OR=1.406; p=0.001) and mild (OR=1.857; p=0.000) anaemia were more prevalent among Muslim children. The fecundity of the mother was found to have significant effect on anaemia. Women with multiple children were prone to greater risk of anaemia. The multiple logistic regression analysis also confirmed that children of literate mothers were comparatively at lesser risk of severe anaemia. Mother's age at marriage had a significant effect on anaemia of their children as well. International Centre for Diarrhoeal Disease Research, Bangladesh 2013-12 /pmc/articles/PMC3905640/ /pubmed/24592587 Text en © INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH, BANGLADESH http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Dey, Sanku
Goswami, Sankar
Dey, Tanujit
Identifying Predictors of Childhood Anaemia in North-East India
title Identifying Predictors of Childhood Anaemia in North-East India
title_full Identifying Predictors of Childhood Anaemia in North-East India
title_fullStr Identifying Predictors of Childhood Anaemia in North-East India
title_full_unstemmed Identifying Predictors of Childhood Anaemia in North-East India
title_short Identifying Predictors of Childhood Anaemia in North-East India
title_sort identifying predictors of childhood anaemia in north-east india
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905640/
https://www.ncbi.nlm.nih.gov/pubmed/24592587
work_keys_str_mv AT deysanku identifyingpredictorsofchildhoodanaemiainnortheastindia
AT goswamisankar identifyingpredictorsofchildhoodanaemiainnortheastindia
AT deytanujit identifyingpredictorsofchildhoodanaemiainnortheastindia