It is estimated that globally 47 percent of young children are anaemic (WHO, 2005). N2 - Anaemia is a widespread public health concern. T1 - Children’s nutritional status and low haemoglobin level in the Democratic Republic of Congo These include age, sex, maternal level of education, whether the mother is anaemic and household wealth status.", If these were ignored then there could be bias in the estimates of the effect of the observed individual variables.The results indicate that anaemia is significantly associated with child nutritional status (weight-for-age) and most of the risk factors associated with anaemia are also found to be related with weight-for-age.
UNITED KINGDOM REGRESS TO WEIGHTS FULL
Endogenous switching regression models with Full Information Maximum Likelihood were fitted to the data.The rationality of applying an endogenous switching regression model is that itcaptures the direct effects of individual observed variable included in the models and the indirect influence of correlated unobserved factors for both weight-for-age and anaemia. Initially, 24% of children were classified as underweight and 71% were anaemic. It aims to answer two the research questions:(1) Is anaemia endogenous to weight-for-age?(2) What are common observed socioeconomic and demographic risk factors associated with weight-for-age for anaemic and not anaemic children? An observed correlation between unobserved covariates that might influence both anaemia and weight-for-age was tested to check whether endogeneity exists in order that the appropriate model could be used.This study uses a cross-sectional study of 2,479 children aged between 6 and 54 months from the Democratic Republic of Congo.
Underweight is an indicator of both short and long term malnutrition and may reflect poor feeding practices or recent episodes of illness.The paper investigates the link between children's nutritional status (weight-for-age) and anaemia. A lack of sufficient food rich in iron and other micronutrients are the commonest cause of the condition.
In children, anaemia can impair development and increase susceptibility to infectious diseases.
These include age, sex, maternal level of education, whether the mother is anaemic and household wealth status.Ībstract = "Anaemia is a widespread public health concern. The results indicate that anaemia is significantly associated with child nutritional status (weight-for-age) and most of the risk factors associated with anaemia are also found to be related with weight-for-age. If these were ignored then there could be bias in the estimates of the effect of the observed individual variables. The rationality of applying an endogenous switching regression model is that itĬaptures the direct effects of individual observed variable included in the models and the indirect influence of correlated unobserved factors for both weight-for-age and anaemia. Endogenous switching regression models with Full Information Maximum Likelihood were fitted to the data. This study uses a cross-sectional study of 2,479 children aged between 6 and 54 months from the Democratic Republic of Congo. (2) What are common observed socioeconomic and demographic risk factors associated with weight-for-age for anaemic and not anaemic children?Īn observed correlation between unobserved covariates that might influence both anaemia and weight-for-age was tested to check whether endogeneity exists in order that the appropriate model could be used. (1) Is anaemia endogenous to weight-for-age? It aims to answer two the research questions: The paper investigates the link between children's nutritional status (weight-for-age) and anaemia. Underweight is an indicator of both short and long term malnutrition and may reflect poor feeding practices or recent episodes of illness. Anaemia is a widespread public health concern.
0 kommentar(er)
