Inequalities among malnourished children in India

Prakash, Mayank; Jain, Kshipra

doi:10.1108/ijse-01-2014-0006

Cited by 7 publications

(6 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Employing the decomposition approach, a study concluded that maternal factors improve WAZ among children aged 0–5 years in India [ 27 ]. In other studies also, the role of mother’s education in explaining the inequalities in underweight was highlighted in Indian settings [ 29 , 35 ]. Of the environmental factors, defecation remained the highest contributor to the inequality in underweight with nearly 17%, during both the time-periods.…”

Section: Discussionmentioning

confidence: 96%

Inequality in child undernutrition among urban population in India: a decomposition analysis

Singh

Srivastava

2020

BMC Public Health

View full text Add to dashboard Cite

Background With increasing urbanization in India, child growth among urban poor has emerged as a paramount public health concern amidst the continuously growing slum population and deteriorating quality of life. This study analyses child undernutrition among urban poor and non-poor and decomposes the contribution of various factors influencing socio-economic inequality. This paper uses data from two recent rounds of National Family Health Survey (NFHS-3&4) conducted during 2005–06 and 2015–16. Methods The concentration index (CI) and the concentration curve (CC) measure socio-economic inequality in child growth in terms of stunting, wasting, and underweight. Wagstaff decomposition further analyses key contributors in CI by segregating significant covariates into five groups-mother’s factor, health-seeking factors, environmental factors, child factors, and socio-economic factors. Results The prevalence of child undernutrition was more pronounced among children from poor socio-economic strata. The concentration index decreased for stunting (− 0.186 to − 0.156), underweight (− 0.213 to − 0.162) and wasting (− 0.116 to − 0.045) from 2005 to 06 to 2015–16 respectively. The steepness in growth was more among urban poor than among urban non-poor in every age interval. Maternal education contributed about 19%, 29%, and 33% to the inequality in stunting, underweight and wasting, respectively during 2005–06. During 2005–06 as well as 2015–16, maternal factors (specifically mother’s education) were the highest contributory factors in explaining rich-poor inequality in stunting as well as underweight. More than 85% of the economic inequality in stunting, underweight, and wasting among urban children were explained by maternal factors, environmental factors, and health-seeking factors. Conclusion All the nutrition-specific and nutrition-sensitive interventions in urban areas should be prioritized, focusing on urban poor, who are often clustered in low-income slums. Rich-poor inequality in child growth calls out for integration and convergence of nutrition interventions with policy interventions aimed at poverty reduction. There is also a need to expand the scope of the Integrated Child Development Services (ICDS) program to provide mass education regarding nutrition and health by making provisions of home visits of workers primarily focusing on pregnant and lactating mothers.

show abstract

Section: Discussionmentioning

confidence: 96%

Inequality in child undernutrition among urban population in India: a decomposition analysis

Singh

Srivastava

2020

BMC Public Health

View full text Add to dashboard Cite

show abstract

“…Our results were in line with the results of other studies that showed household economic status was the most important determinant influencing inequality in malnutrition. The percentage of economic status contribution or its proxy to malnutrition inequality has been reported to be 70% in Mozambique (27), 65% to 70% in Vietnam (9), 46% in Ghana (28), and 50% to 65% in India (3,7). In comparison with having access to health care, promoting socio-economic status is far more effective on health indices and outcomes, especially on the reduction of child mortality and improving their nutritional status (29)(30)(31).…”

Section: Discussionmentioning

confidence: 99%

“…In addition to this inequality among countries, there are also socioeconomic inequalities within countries and children in lower social groups bear a greater burden of malnutrition. Nutritional status of children is affected by many socioeconomic factors such as mother's education and nutritional status, residential area, household wealth, and demographic characteristics (3)(4)(5)(6)(7)(8)(9). For the first time in Iran, the concentration index and decomposition method was used to analyze the socio-economic inequalities in child mortality at the national level and with regard to the provinces (10).…”

Section: Introductionmentioning

confidence: 99%

A Decomposition Analysis of Inequality in Malnutrition among Under-Five Children in Iran: Findings from Multiple Indicator Demographic and Health Survey, 2010

Kia

Goodarzi

Asadi

et al. 2019

ijph

View full text Add to dashboard Cite

Background: Nutritional status at the early stages of children’s lives is essential for growth and development not only in infancy but also in adult life. This study aimed to measure the inequality in malnutrition among under-five children in Iran and explore the impact of socioeconomic factors on this inequality using a regression-based decomposition approach. Methods: Data were extracted from Iran's Multiple-Indicator Demographic and Health Survey 2010. The concentration index of stunting, underweight, and wasting were applied in order to measure the magnitude of socioeconomic inequality in child malnutrition. Moreover, the concentration indices were decomposed to understand the contribution of socioeconomic variables in childhood malnutrition inequality. Results: The obtained concentration indices of stunting, underweight, and wasting were respectively -0.177, -0.092, and -0.031. Socioeconomic inequality in stunting and underweight was statistically significant, however this socioeconomic gradient was not observed in wasting. More than 50% of the inequality in stunting and about 63% of the inequality in underweight were influenced by socioeconomic status. Furthermore, maternal education was associated with 19% and 22% of inequality in stunting and underweight respectively. Conclusion: The average reduction of malnutrition indices at the national level hides the burden of malnutrition among children in poor families. If government and policymakers seek to solve this problem, they have to take direct and targeted actions to eliminate the existing inequalities in the socioeconomic determinants associated with malnutrition.

show abstract

“…Household wealth quantile (middle) contributed to the compositional rise of underweight, while richer contributes to the compositional decline of underweight in line with studies conducted in Vietnam and India (Kien et al, 2016, Srivastava, 2019, Mussa, 2014. This is known to be poor households often difficult to access food, and inadequate resource for care and unable to utilize the creation of sustainable health settings for their children (Akombi et al, 2017b, Prakash andJain, 2016). Also, age of child increased, the risk of deteriorating underweight were increased in line with studies (Abdollah ALMASIAN KIA 2019, CHAO, 2017, Kien et al, 2016, Srivastava, 2019.…”

Section: Discussionmentioning

confidence: 54%

Trends and Predictors of underweight among under-five children in Ethiopia, based on Ethiopian Demographic and Health Survey 2005 -2016. Multivariable Decomposition analysis

Birhan¹,

Angaw²

2020

Preprint

View full text Add to dashboard Cite

Background Underweight is one of the paramount major worldwide health problems, and it touches a large number of population from infancy to old age. This study aimed to analyze the trends and predictors of change in underweight among under-five children in Ethiopia Method The data for this study were accessed from three Ethiopian Demographic and Health Surveys data set 2005, 2011 and 2016. The trend was examined separately for the periods 2005–2011, 2005-2016, and 2011-2016. Multivariate decomposition analysis of change in underweight was employed to answer the major research question of this study. The technique employed the output from the logistic regression model to parcel out the observed difference in underweight into components, and STATA 14 was utilized for data management and analysis. Result Among children in Ethiopia the prevalence of underweight declined from 38% in 2005 to 25% in 2016. The decomposition analysis indicated that almost half of the overall change in underweight was due to difference in characteristics. Change in the composition of parental education, wealth index, duration of breastfeeding, respondents’ occupation, was the major contributor for the decline of underweight, while the age of child and presence of diarrhea were contributors for the rise of underweight in Ethiopia. Conclusion underweight shows a remarkable decline over the last decades in Ethiopia. Change in composition of Birth size, duration of breastfeeding, household wealth quantile (richer) and husband/partner primary education are attributable to the decline of underweight.

show abstract

Inequalities among malnourished children in India

Cited by 7 publications

References 52 publications

Inequality in child undernutrition among urban population in India: a decomposition analysis

Inequality in child undernutrition among urban population in India: a decomposition analysis

A Decomposition Analysis of Inequality in Malnutrition among Under-Five Children in Iran: Findings from Multiple Indicator Demographic and Health Survey, 2010

Trends and Predictors of underweight among under-five children in Ethiopia, based on Ethiopian Demographic and Health Survey 2005 -2016. Multivariable Decomposition analysis

Contact Info

Product

Resources

About