Application of proportional odds model in identifying contributing factor of under-five child malnutrition in Bangladesh: A case study in Tangail district

Paul, Gowranga Kumar; Nesa, Mossamet Kamrun; Mondal, Somaresh Kumar; Salan, Md. Sifat Ar; Mim, Faijun Nahar

doi:10.4103/jhrr.jhrr_38_18

Cited by 5 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to our findings, Das and Hossain reported maternal BMI as the significant predictor of malnutrition (14). Another study of Paul et al explored maternal BMI and education as the significant risk factors of malnutrition in children ≤ 5 years of age through POM in Bangladesh (25). The results are similar to our study.…”

Section: Discussionsupporting

confidence: 92%

Exploring the Fundamental Risk Factors of Child Malnutrition: An Application of Proportional Odds Model (POM)

Ayyaz

Meraj

Mustafa

2021

PJPH

View full text Add to dashboard Cite

Background: This study was designed with the objective to evaluate the fundamental risk factors of malnutrition among children in Lahore city and its outskirts, Pakistan. Methods: Data of four hundred and five children with age group less than 5 years was collected from Children hospital and Jinnah hospital, Lahore. We used weight-for-height anthropometric index, designed by World Health Organization (WHO), to measure the nutritional status of children. Preliminary analysis was performed by using Pearson Chi-square and Gamma statistics to check the association between factors (demographic, socio-economic and health related variables) and response variable i.e., nutritional status. Then, proportional odds model (POM) was fitted to the information collected. Results: Of 405 children included in the study, 33% (135) were found malnourished, whereas, approximately 67% (270) were found nourished. Findings of the study revealed that child’s age, maternal education level, socio-economic status, maternal age at the birth of child, low birth spacing, status of antenatal-postnatal care, incomplete vaccinations, exclusive breastfeeding, prevalence of fever, cough and recurrent episodes of diarrhea were the significant risk factors of malnutrition. Prevalence of acute respiratory infection (ARI) was turned out to be insignificant risk factor. In this study, parallel lines assumption was satisfied and proportional odds model was fitted well with p-value greater than 5% level of significance. Conclusion: This paper highlights the significant risk factors that are affecting the child’s health. Recognizing and understanding the identified risk factors would be very helpful in prevention of malnutrition in Pakistan.

show abstract

Section: Discussionsupporting

confidence: 92%

Exploring the Fundamental Risk Factors of Child Malnutrition: An Application of Proportional Odds Model (POM)

Ayyaz

Meraj

Mustafa

2021

PJPH

View full text Add to dashboard Cite

show abstract

“…This is aligned to study by Action Against Hunger where it found out that mothers having more time with their children were less likely to have malnourished children (Bizoueme et al, 2012). Distant water sources also compromised household hygiene [33] and this would contribute to child undernutrition. As compared to other studies [34][35][36], our study also found that caregivers who had ever attended school were less likely to have acutely malnourished children than those in the community who had never attended school (AOR = 0.77, 95% CI = 0.394 -1.519).…”

Section: Determining the Correlation Between Household Food Security And Childhood Malnutrition Statusmentioning

confidence: 99%

“…As compared to other studies [34][35][36], our study also found that caregivers who had ever attended school were less likely to have acutely malnourished children than those in the community who had never attended school (AOR = 0.77, 95% CI = 0.394 -1.519). Paul et al [33], also found out that a mother's education was related to child illness which can also lead to children under the age of 5 being acutely malnourished.…”

Section: Determining the Correlation Between Household Food Security And Childhood Malnutrition Statusmentioning

confidence: 99%

Modeling Key Drivers of Under-Five Child Malnutrition in Marsabit County, Kenya: Application of the Logit Model

Rop

Koech

Otieno

2021

AJPAS

View full text Add to dashboard Cite

Malnutrition remains one of the major problems in developing countries affecting both adults and children under 5 years. The use of binary logistic regression model was employed, and parameters of interest estimated. Results showed that 29.3 percent of the children were acutely malnourished. There was an insignificant difference between household food security and child malnutrition status Factors such as the age of caregivers, household size, the gender of the child, and the level of education of caregivers, if the child was weighed at birth, source of income, the occupation status, and the distance to the water source remained insignificant at a multivariate level. However, factors such as full-term maternal pregnancy, the child being ill for the past two weeks, and the study site were strong significant factors affecting the status of childhood malnutrition. Moreover, mothers with full-term pregnancy up to the birth were 53 percent less likely to have malnourished infants when compared to their counterparts whose pregnancy was not term. Mothers/caregivers who traveled more than half a kilometer were twice more likely to have their children malnourished than those who had traveled less than half a kilometer. It recommended that the policymakers and the entire County government of Marsabit should build more social amenities that provide pregnant women with full-term maternal checkups for both antenatal and postnatal care. County government of Marsabit should lobby and mobilize resources for food aid or cash transfers to households.

show abstract

“…Moreover, the targets 2.1 and 2.2 of Sustainable Development Goals (SDGs) focus to end hunger and reduce malnutrition to get rapid economic growth. For more recent accounts in this regard, see also Gul and Kibria (2013); Talukder (2017) ;Paul et. al.…”

Section: Introductionmentioning

confidence: 99%

Socio-Economic Risk Profiling of Child Nutrition Status: Evidence from the Most Populous Province of Pakistan

Munir

2023

Preprint

View full text Add to dashboard Cite

Child malnutrition is considered one of the most focused areas of development, globally. The situation in developing countries, with lower literacy rate and lesser health awareness, is even more alarming and unpleasant. Pakistan - a country of 220 million population with literacy rate of 65 percent, remains a prime candidate, worth studying the diverse nature of the issue. This research focuses on the analysis of Punjab based data – the most populated province of Pakistan, sharing 50 percent of the total population of the country. Principally, this research advances the existing literature mainly on two fronts. Firstly, we study children nourishment status through ordinal scale and thus identify the more vulnerable and priority groups existent in the population. Secondly, we propose the use of WHO Infant and Young Children Feeding guidelines (IYCF) for food quality, as a determinant of child nourishment status. Also, we consider weight-for-age, as a composite anthropometric indicator to quantify the nourishment status of children of age under five years. Based on this indicator, child nourishment status is then categorized into three distinctive and hierarchical groups: severely malnourished \((<- 3.0 \text{Z}-\text{s}\text{c}\text{o}\text{r}\text{e}\)), moderately malnourished (\(-3.0 \text{t}\text{o}-2.01 \text{Z}-\text{s}\text{c}\text{o}\text{r}\text{e}\)) and not malnourished (\(\ge 2.0 \text{Z} \text{s}\text{c}\text{o}\text{r}\text{e})\). The objectives are achieved by using the Multiple Indicator Cluster Survey (MICS) 2017–2018 data for the Punjab province comprehending a sample of 25211 children. We observe that 7% children can be ranked as severely malnourished whereas, 14.5% children stayed in the moderately malnourished category. Moreover, bivariate analysis reveals statistically significant association between children nourishment status and, food intake diversity, mother education and health awareness, child previous health history and economic status of the household. The explanatory power of the determinants of malnourishment is assessed by employing various modeling strategies capable of entertaining diverse ordinal structures. We use proportional odds model (POM), non-proportional odds model (NPOM). Based on keen application of statistical modeling techniques, our study suggests that NPOM can be considered as a more sophisticated approach to explore the factors affecting the child malnutrition. The findings of this research imply that, government and development organizations need to focus, not only, on improvement of overall household well-being but also required to advocate the urgency for balanced food.

show abstract

Application of proportional odds model in identifying contributing factor of under-five child malnutrition in Bangladesh: A case study in Tangail district

Cited by 5 publications

References 1 publication

Exploring the Fundamental Risk Factors of Child Malnutrition: An Application of Proportional Odds Model (POM)

Exploring the Fundamental Risk Factors of Child Malnutrition: An Application of Proportional Odds Model (POM)

Modeling Key Drivers of Under-Five Child Malnutrition in Marsabit County, Kenya: Application of the Logit Model

Socio-Economic Risk Profiling of Child Nutrition Status: Evidence from the Most Populous Province of Pakistan

Contact Info

Product

Resources

About