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

Socio-economic and spatial inequalities in animal sources of iron-rich foods consumption among children 6-23 months old in Ethiopia: A decomposition analysis

Iron deficiency anaemia is the most common type of anaemia in young children which can lead to long-term health consequences such as reduced immunity, impaired cognitive development, and school performance. As children experience rapid growth, they require a greater supply of iron from iron-rich foods to support their development. In addition to the low consumption of iron-rich foods in low- and lower-middle-income countries, there are also regional and socio-economic disparities. This study aimed to assess contributing factors of wealth-related inequality and geographic variations in animal sources of iron-rich food consumption among children aged 6-23 months in Ethiopia. We used data from the Ethiopian Mini Demographic and Health Surveys (EMDHS) 2019, a national survey conducted using stratified sampling techniques. A total of 1,461 children of age 6-23 months were included in the study. Iron-rich animal sources of food consumption were regarded when parents/caregivers reported that a child took at least one of the four food items identified as iron-rich food: 1) eggs, 2) meat (beef, lamb, goat, or chicken), 3) fresh or dried fish or shellfish, and 4) organs meat such as heart or liver. Concentration indices and curves were used to assess wealth-related inequalities. A Wagstaff decomposition analysis was applied to identify the contributing factors for wealth-related inequality of iron-rich animal source foods consumption. We estimated the elasticity of wealth-related inequality for a percentage change in socioeconomic variables. A spatial analysis was then used to map the significant cluster areas of iron-rich animal source food consumption among children in Ethiopia. The proportion of children who were given iron-rich animal-source foods in Ethiopia is 24.2% (95% CI: 22.1%, 26.5%), with figures ranging from 0.3% in Dire Dawa to 37.8% in the Oromia region. Children in poor households disproportionately consume less iron-rich animal-source foods than those in wealthy households, leading to a pro-rich wealth concentration index (C) = 0.25 (95% CI: 0.12, 0.37). The decomposition model explained approximately 70% of the estimated socio-economic inequality. About 21% of the wealth-related inequalities in iron-rich animal source food consumption in children can be explained by having primary or above education status of women. Mother's antenatal care (ANC) visits (14.6%), living in the large central and metropolitan regions (12%), household wealth index (10%), and being in the older age group (12-23 months) (2.4%) also contribute to the wealth-related inequalities. Regions such as Afar, Eastern parts of Amhara, and Somali were geographic clusters with low iron-rich animal source food consumption. There is a low level of iron-rich animal source food consumption among children, and it is disproportionately concentrated in the rich households (pro-rich distribution) in Ethiopia. Maternal educational status, having ANC visits, children being in the older age group (12-23 months), and living in large central and metropolitan regions were significant contributors to these wealth-related inequalities in iron-rich animal source foods consumption. Certain parts of Ethiopia such as, Afar, Eastern parts of Amhara, and Somali should be considered priority areas for nutritional interventions to increase children's iron-rich animal source foods consumption.

Environmental Predictors of Undernutrition Among Under-5 Children at Dabat District Health Facilities, Northwest Ethiopia, 2023

Background

In Ethiopia, undernutrition remains a significant public health concern throughout the year due to persistent household food insecurit. The intensifying conflict in the Dabat district, involving the Ethiopian government and the Tigray Liberation Front, has increased the threat of undernutrition among under-5 children. The cessation of humanitarian aid has worsened food insecurity, increasing the vulnerability of the children in the region. However,there was no data showing the prevalence and environmental pridictors of undernutrition in the Dabat district, northwestern Ethiopia. Therefore, the objective of this study was to determine the prevalence of undernutrition and identify environmental pridictors in this study setting.

Methods

This institutional-based cross-sectional study was conducted from January to March 2023. A total of 400 under-5 children were included in this study using systematic random sampling techniques with a 100% response rate. The study included all under-5 children who visited healthcare facilities during the data collection period. However, it excluded children under-5 who had physical deformities, were critically ill, or had congenital abnormalities or known chronic diseases such as HIV/AIDS, tuberculosis, or chronic heart diseases. Binary logistic regression was used to determine environmental predictors of undernutrition, with statistical significance at a P-value of ⩽.05.

Results

The overall prevalence of undernutrition was found to be 12% (95% CI: 8.72-21.5). Among those affected, 32.8% (95% CI: 21.5-39.8) were stunted, 37.9% (95% CI: 28.8-47.50) were underweight, and 29.3% (95% CI: 21.3-29.7) were wasted. The environmental predictors of undernutrition were latrine use, recent diarrhea episodes, mothers' occupation and place of residence, water treatment before consumption, water sources and storage, water extraction methods, and mothers' handwashing habits.

Conclusions and recommendations

The study found a higher prevalence of undernutrition among under-5 children compared to the 2019 Ethiopia Mini Demographic and Health Survey. This study recommended raising awareness about establishing private toilets, promoting water treatment, proper latrine use, and handwashing practices. Training on personal hygiene and economic support for households should also be provided. Healthcare providers should offer quality health services for under-5 children. Further research is needed to explore specific nutrient deficiencies using laboratory methods.

Undernutrition in children under five associated with wealth-related inequality in 24 low- and middle-income countries from 2017 to 2022

Undernourishment is a persistent public health problem contributing to increased mortality in children under five in low-income countries, likely exacerbated by socio-economic disparities within communities. This paper aimed to examine the effect of wealth-related inequality on undernutrition in children under five in low, lower-middle, and upper-middle-income countries (LMICs). We analyzed cross-sectional data from the demographic and health survey program collected between 2017 and 2022 from 24 LMICs. Children born within 5 years preceding the survey were included in the analysis. Child undernutrition was the dependent variable (measured by stunting, wasting, and underweight) and country-level wealth-based inequality was the independent variable assessed by concentration index values stratified by the World Bank's income categories. Within country inequality of child undernutrition was determined by concentration index (C) values with 95% confidence intervals (95% CI) and sub-group analysis by place of residence and sex of the child. We then fit bootstrapped meta-regression to check the variation in inequality of child undernutrition across different income category countries. The analysis was controlled by potential confounding variables. From the total sample size of 334,502 children included in the study, 35% were undernourished. Wealth-related inequality in child undernutrition was observed in 11 countries, consistently across income categories. Child undernutrition was highly concentrated among the poor households of Türkiye [C: - 0.26, 95% CI - 0.31 to - 0.20], and Cameroon [C: - 0.19, 95% CI - 0.22 to - 0.17], and relatively it was less concentrated among the poor in Liberia [C: - 0.07, 95% CI - 0.11 to - 0.04], and Gambia [C: - 0.07, 95% CI - 0.11 to - 0.04]. There is no difference in undernutrition associated with inequality between the three broad LMIC categories. The wealth-related inequality in child undernutrition within many of the included countries is still very significant. However, the economic category of countries made no difference in explaining wealth-related inequality in child undernutrition. Inter-sectoral collaboration to fight poverty and render special attention to the disadvantaged population segments would potentially help to address the observed inequity.

Explaining the poor-rich gap in anthropometric failure among children in India: An econometric analysis of the NFHS, 2021 and 2016

Wealth inequality in anthropometric failure is a persistent concern for policymakers in India. This necessitates a comprehensive analysis and identification of various risk factors that can explain the poor-rich gap in anthropometric failure among children in India. We analyze the fifth and fourth rounds of the Indian National Family Health Survey collected from June 2019 to April 2021 and January 2015 to December 2016, respectively. Two samples of children aged 0-59 and 6-23 months old with singleton birth, alive at the time of the survey with non-pregnant mothers, and with valid data on stunting, severe stunting, underweight, severely underweight, wasting, and severe wasting are included in the analytical samples from both rounds. We estimate the wealth gradients and distribution of wealth among children with anthropometric failure. Wealth gap in anthropometric failure is identified using logistic regression analysis. The contribution of risk factors in explaining the poor-rich gap in AF is estimated by the multivariate decomposition analysis. We observe a negative wealth gradient for each measure of anthropometric failure. Wealth distributions indicate that at least 60% of the population burden of anthropometric failure is among the poor and poorest wealth groups. Even among children with similar modifiable risk factors, children from poor and poorest backgrounds have a higher prevalence of anthropometric failure compared to children from the richest backgrounds. Maternal BMI, exposure to mass media, and access to sanitary facility are the most significant risk factors that explain the poor-rich gap in anthropometric failure. This evidence suggests that the burden of anthropometric failure and its risk factors are unevenly distributed in India. The policy interventions focusing on maternal and child health, implemented with a targeted approach prioritizing the vulnerable groups, can only partially bridge the poor-rich gap in anthropometric failure. The role of anti-poverty programs and growth is essential to narrow this gap in anthropometric failure.

Hypertension in urban slums of southern India: Burden, awareness, health seeking, control and risk factor profile

INTRODUCTION

Hypertension is the leading risk factor for global disease burden. Inequalities in health among urban poor and non-poor is a matter of concern. The current study was done to estimate the prevalence of hypertension and to describe the health seeking and risk factor profile of people with hypertension in the urban slums of Kochi, Kerala, India.

METHODS

Blood pressure of 5980 adults from 20 randomly selected slums were measured by door to door survey by trained nurses as a part of baseline assessment for a cluster randomised controlled trial.

RESULTS

Prevalence of hypertension was found to be 34.8% (95% CI 33.5-34.9). Among those with hypertension, 66.9% were aware of their hypertensive status, of which 75.8% were initiated on treatment for hypertension. Proportion of hypertensive in the population who had their blood pressure under control was 24.5%. Among hypertensive, 53% were obese, 25.1% had diabetes mellitus, 14% had history of hospitalisation for high blood pressure. Of them, 60.3% had a per capita salt consumption above 8 g/day and 47.5% of them reported sitting for more than 8 h on a usual day. Mean monthly out of pocket expenditure for treatment of hypertension was $9(Median $8, IQR $16).

CONCLUSION

One in three adults in urban slums of Kochi had hypertension. High rates of obesity, salt intake, physical inactivity prevails among the people with hypertension. Awareness, treatment initiation and control rate of hypertension are lower in urban slums as compared to non-slum urban areas. Slums require additional attention to ensure equitable and universal access to hypertension control.

Sociodemographic and Healthcare Factors Associated with Stunting in Children Aged 6-59 Months in the Urban Area of Bali Province, Indonesia 2018

Stunting is a worldwide public health concern, including in Indonesia. Even when living in an urban area with urban characteristics, it is still possible for children to be at risk of stunting. The aim of this study was to determine the sociodemographic and healthcare factors associated with stunting in a province experiencing tourism growth, namely, Bali. Cross-sectional data on Bali Province from the Indonesian Basic Health Research Survey (Riskesdas, 2018) were used as the basis for the research analysis. A total of 846 respondents under five years of age were analyzed, indicating a stunting prevalence of 19.0%. Multivariate logistic regression demonstrated low maternal educational attainment (adjustedOR = 1.92; 95% Confidence Interval = 1.24-2.97), the inadequate consumption of iron tablets during pregnancy (adjustedOR = 1.56; 95% Confidence Interval = 1.08-2.24), and no extended family (adjustedOR = 1.55; 95% Confidence Interval = 1.07-2.26) as being significantly associated with stunting. According to these findings, sociodemographic and healthcare factors are associated with stunting in urban Bali. Improving women's education, ensuring sufficient iron tablets are consumed during pregnancy, and encouraging the involvement of the extended family in childcare are recommended.

Wealth- and education-related inequalities in minimum dietary diversity among Indonesian infants and young children: a decomposition analysis

Background

Over the last two decades, Indonesia has experienced remarkable economic growth. However, the percentage of infants and young children meeting the minimum dietary diversity (MDD) criteria has stagnated. Despite the growing body of evidence of the association between MDD and socioeconomic factors, there is little information about socioeconomic inequalities in MDD in Indonesia.

Objectives

The current study seeks to quantify the wealth- and education-related inequalities in MDD among infants and young children in Indonesia and determine the contribution of different factors to these disparities.

Methods

We included a total of 5038 children aged 6–23 months of the 2017 Indonesia Demographic and Health Survey. We measured wealth- and education-related inequalities using the concentration curve and Wagstaff normalised concentration index. Using a concentration index decomposition analysis, we then examined factors contributing to wealth- and education-related inequalities in MDD.

Results

The concentration indices by household wealth and maternal education were 0.220 (p < 0.001) and 0.192 (p < 0.001), respectively, indicating more concentration of inequalities among the advantaged population. The decomposition analysis revealed that household wealth (29.8%), antenatal care (ANC) visits (16.6%), paternal occupation (15.1%), and maternal education (11.8%) explained the pro-rich inequalities in MDD in Indonesia. Maternal education (26.1%), household wealth (19.1%), ANC visits (14.9%), and paternal occupation (10.9%) made the most considerable contribution to education-related inequalities in MDD.

Conclusions

There is substantial wealth- and education-related inequalities in MDD. Our findings suggest an urgent need to address the underlying causes of not reaching dietary diversity by promoting infant and young child feeding equity in Indonesia.

Wealth related inequality in women and children malnutrition in the state of Chhattisgarh and Tamil Nadu

Background

Child and maternal malnutrition are the most serious health risks in India, accounting for 15% of the country’s total disease burden. Malnutrition in children can manifest as ‘stunting’ (low height in relation to age) or ‘wasting’ (low weight in relation to height) or both and underweight or obesity among women. Other nutritional indicators show that India lags behind, with high levels of anaemia in women of reproductive age. The study aims to analyse the wealth related inequalities in the nutrition status among women and children of different wealth quintiles in a high focus state (Chhattisgarh; CG) and a non-high focus state (Tamil Nadu; TN) in India.

Methods

We used National Family Health Survey-3rd (2005–06) & 4th (2015–16) to study the trends and differentials of inequalities in the nutrition status. We have used two summary indices. - absolute inequalities using the slope index of inequality (SII), and relative inequalities using the concentration index (CIX).

Results

There is reduction in wealth related inequality in nutrition status of women and children from all wealth quintiles between 2005–06 and 2015–16. However the reduction in inequality in some cases such as that of severe stunting among children was accompanied by increase among children from better off households The values of SII and CIX imply that malnutrition except obesity is still concentrated among the poor. The prevalence of anaemia (mild, moderate and severe) has reduced among women and children in the past decade. The converging pattern observed with respect to prevalence of mild and moderate anaemia is not only due to reduction in prevalence of anaemia among women from poor households but an increase in prevalence in rich households.

Conclusion

Malnutrition remains a major challenge in India, despite encouraging progress in maternal and nutrition outcomes over the last decade. Our study findings indicate the importance of looking at the change in inequalities of nutrition status of women and children of different wealth quintiles sub nationally. Given the country’s rapidly changing malnutrition profile, with progress across several indicators of under nutrition but rapidly rising rates of overweight/obesity, particularly among adults, appropriate strategies needs to be devised to tackle the double burden of malnutrition.

Effect of change in individual and household level characteristics on anemia prevalence among adolescent boys and girls in India

Background

Anemia is a significant public health challenge that affects the population of all nations. Anemia among adolescents emerged as an alarming public health issue as it harms an individual’s physical capacity and cognitive and work performance. The study aims to determine the effect of changes in individual and household level factors on the prevalence of anemia among adolescent boys and girls.

Method

The study utilized data from two waves of the “Understanding the lives of adolescent and young adults” (UDAYA) survey, conducted in Bihar and Uttar Pradesh during 2015–16 (wave-1) and 2018–19 (wave-2). The sample size for the present study was 4216 and 5974 unmarried adolescent boys and girls aged 10–19 years in both waves. We performed descriptive analysis to observe the characteristics of adolescents during 2015–16. Further, changes in selected independent variables from wave-1 to wave-2 were examined using the proportion test. Moreover, random-effect regression models were employed to examine the association of changes in individual and household level factors with anemia prevalence among adolescents.

Results

The prevalence of anemia decreased over time among adolescent boys (33 to 30%), whereas it increased among adolescent girls (59 to 63%). The results from the random-effect model show that adolescent boys who used shared toilets were more anemic than those who used a private restroom [β:0.05, 95% CI:(0.01, 0.08)]. Moreover, underweight [β:0.05, CI:(0.01, 0.09)] and thin [β:0.04, CI:(0.00, 0.07)] adolescent boys were more likely to be anemic compared to their normal counterparts. Additionally, boys who belonged to the poorest [β:0.08, CI:(0.02, 0.14)] households had a higher risk of anemia than the richest household.

Conclusion

The anemia prevalence was higher among adolescents aged 10–19 years in Uttar Pradesh and Bihar. This study has filled an information gap by providing state-level representative estimates indicating underweight status and thinness as the common factors behind the anemia prevalence among adolescent boys than in girls. Iron deficiency anemia is the most prevalent in certain age groups in India. Hence, Anemia prevention efforts and iron-folic acid (IFA) supplementation programs are currently being strengthened in India, targeting the high-risk population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13863-w.

Determinants of Inadequate Minimum Dietary Diversity Intake Among Children Aged 6-23 Months in Sub-Saharan Africa: Pooled Prevalence and Multilevel Analysis of Demographic and Health Survey in 33 Sub-Saharan African Countries

Background

Inappropriate feeding practices result in significant threats to child health by impaired cognitive development, compromised educational achievement, and low economic productivity, which becomes difficult to reverse later in life. There is minimal evidence that shows the burden and determining factors of inadequate dietary intake among children aged under 2 years in sub-Saharan African (SSA) countries. Therefore, this study aimed to assess the pooled magnitude, wealth-related inequalities, and other determinants of inadequate minimum dietary diversity (MDD) intake among children aged 6-23 months in the SSA countries using the recent 2010-2020 DHS data.

Methods

A total of 77,887 weighted samples from Demographic and Health Survey datasets of the SSA countries were used for this study. The Microsoft Excel and STATA version 16 software were used to clean, extract, and analyze the data. A multilevel binary logistic regression model was fitted. The concentration index and curve were applied to examine wealth-related inequalities in the outcomes. P-value < 0.05 with 95% CI was taken to declare statistical significance.

Results

The pooled magnitude of inadequate MDD intake among children aged 6-23 months in SSA was 76.53% (95% CI: 73.37, 79.70), ranging from 50.5% in South Africa to 94.40% in Burkina Faso. Individual-level factors such as women having secondary and above education (AOR = 0.66; 95% CI; 0.62, 0.70), being employed (AOR = 0.76; 95% CI; 0.72, 0.79), having household media exposure (AOR = 0.69; 95% CI; 0.66, 0.72), richest wealth (AOR = 0.46; 95% CI; 0.43, 0.50), having health institution delivery (AOR = 0.87;95% CI; 0.83, 0.91), and community-level factor such as living in upper middle-income country (AOR = 0.42; 95% CI; 0.38, 0.46) had a significant protective association, whereas rural residence (AOR = 1.29; 95% CI; 1.23, 1.36) has a significant positive association with inadequate MDD intake among children aged 6-23 months. Inadequate MDD intake among children aged 6-23 months in SSA was disproportionately concentrated on the poor households (pro-poor) (C = -0.24; 95% CI: -0.22, -0.0.26).

Conclusion and Recommendations

There is a high magnitude of inadequate minimum dietary diversity intake among children aged 6-23 months in SSA. Variables such as secondary and above maternal education, having an employed mother, having exposure to media, richest wealth, having health institution delivery, and living in the upper middle-income country have a significant negative association, whereas living in rural residence has a significant positive association with inadequate MDD intake. These findings highlight that to increase the MDD intake in the region, policy makers and other stakeholders need to give prior attention to enhancing household wealth status, empowering women, and media exposure.

Does socioeconomic inequality exist in minimum acceptable diet intake among children aged 6-23 months in sub-Saharan Africa? Evidence from 33 sub-Saharan African countries' demographic and health surveys from 2010 to 2020

Background

Child undernutrition is a major public health problem in many resource-poor communities in the world. More than two-thirds of malnutrition-related child deaths are associated with inappropriate feeding practices during the first 2 years of life. Socioeconomic inequalities are one of the most immediate determinants. Though sub-Saharan Africa (SSA) shares the huge burden of children undernutrition, as to our search of literature there is limited evidence on the pooled magnitude, socioeconomic inequalities of minimum acceptable diet intake and its contributing factors among children aged 6 to 23 months in the region. This study aimed to assess the level of socio-economic inequalities of minimum acceptable diet intake, and its contributor factors among children aged 6–23 months in SSA using recent 2010–2020 DHS data.

Methods

A total of 78,542 weighted samples from Demographic and Health Survey datasets of SSA countries were used for this study. The data were cleaned using MS excel and extracted and analyzed using STATA V.16 software. The concentration index and curve and wag staff type decomposition analysis were applied to examine wealth-related inequalities in the outcomes. P-value < 0.05 was taken to declare statistical significance.

Results

The pooled magnitude of MAD intake among children age 6–23 months in SSA was 9.89% [95%CI: 8.57, 11.21%] ranging from 3.10% in Guinea to 20.40% in Kenya. MAD intake in SSA was disproportionately concentrated on the rich households (pro-rich) [C = 0.191; 95% CI: 0.189, 0.193]. Residence (36.17%), media exposure (23.93%), and women’s education (11.63%) explained the pro-rich inequalities in MAD intake. The model explained 55.55% of the estimated socioeconomic inequality in MAD intake in SSA.

Conclusion and recommendations

Minimum acceptable diet intake in SSA is relatively low. There are moderate socioeconomic inequalities in MAD intake in SSA, mainly explained by residence, media exposure and women’s education. The government of sub-Saharan African countries should plan and work in short terms through the program that endorses women empowerment such as income generation, cash assistance for mothers who have under 2 years of children and women employment using affirmative actions, and nutrition education such as media campaigns and promoting breast feedings. Long-term plans are also needed for those SSA countries with lower income status through programs to enhance their country’s economy to the middle and higher economic level and to improve the wealth index of individual households to narrow the poor-rich gap in the minimum acceptable diet intake.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40795-022-00521-y.

Socioeconomic inequalities in non- coverage of full vaccination among children in Bangladesh: a comparative study of Demographic and Health Surveys, 2007 and 2017-18

BACKGROUND

Vaccination is considered as a powerful and cost-effective weapon against many communicable diseases. An increase in full vaccination among the most vulnerable populations in Bangladesh was observed in the last decade. This study aimed to capture the socioeconomic inequalities in non-coverage of full vaccination among children aged 12-23 months using the nationally representative data from the Bangladesh Demographic and Health Surveys (BDHS).

METHODS

Data for this study have been drawn from the 2007 and 2017-18 BDHS, which covered 10,996 and 20,127 ever-married women aged 15-49 years in 2007 and 2017-18, respectively. Binary logistic regression analysis was performed to find the factors associated with children who did not receive full vaccination. Further, the concentration index was used to observe the socioeconomic inequality for the outcome variable.

RESULTS

The proportion of children who did not get fully vaccinated decreased by more than 6 points (18.2 percent to 11.8 percent) between the years 2007 and 2017-18. In 2017-18, the odds of children who were not fully vaccinated were 58 percent and 53 percent less among mothers who had primary education in 2007 [adjusted odds ratio (AOR): 0.42; confidence interval (CI): 0.24-0.73] and 2017-18 [AOR: 0.47; CI: 0.23-0.94] respectively, compared to mothers with no education. The inequality for children who were not fully vaccinated had declined between two survey periods [concentration index (CCI) value of - 0.13 in 2007 and -0.08 in 2017-18]. The concentration of inequality in children with higher parity who did not receive full vaccination had increased from 5 percent in 2007 to 16.9 percent in 2017-18. There was a drastic increase in the socioeconomic inequality contributed by place of delivery from 2.9 percent (2007) to 60.5 percent (2017-18) among children who did not receive full vaccination.

CONCLUSIONS

The present study provide eminent evidence that non-coverage of full vaccination is more prevalent among children from poor households in Bangladesh, which is mainly associated with factors like mother's education, father's education and working status and household wealth index across the two rounds. These factors suggest multifaceted pro-poor interventions that will protect them from hardship and reduce their socioeconomic inequalities in coverage of full vaccination.

Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach

BACKGROUND

Despite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spatial distribution of SBA across districts of India. Furthermore, the study tries to understand the spatially associated population characteristics that influence the low coverage of SBA across districts of India and its regions.

METHODS

The study used national representative cross-sectional survey data obtained from the fourth round of National Family Health Survey, conducted in 2015-16. The effective sample size was 259,469 for the analysis. Moran's I statistics and bivariate Local Indicator for Spatial Association maps were used to understand spatial dependence and clustering of deliveries conducted by SBA coverage in districts of India. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of deliveries conducted by SBA.

RESULTS

Moran's I value for SBA among women was 0.54, which represents a high spatial auto-correlation of deliveries conducted by SBA over 640 districts of India. There were 145 hotspots for deliveries conducted by SBA among women in India, which includes almost the entire southern part of India. The spatial error model revealed that with a 10% increase in exposure to mass media in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Interestingly, also with the 10% increase in the four or more antenatal care (ANC) in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Again, if there was a 10% increase of women with first birth order in a particular district, then the deliveries conducted by SBA significantly increased by 6.1%. If the district experienced an increase of 10% household as female-headed, then the deliveries conducted by SBA significantly increased by 1.4%.

CONCLUSION

The present study highlights the important role of ANC visits, mass media exposure, education, female household headship that augment the use of an SBA for delivery. Attention should be given in promoting regular ANC visits and strengthening women's education.

Newborn low birth weight: do socio-economic inequality still persist in India?

BACKGROUND

The incidence of preterm birth and subsequent low birth weight (LBW) are vital global public health issues. It contributes to high infant and child mortality in the early stages of life and later on in adult life; it increases the risk for non-communicable diseases. The study aims to understand the socio-economic status-related inequality for LBW among children in India. It hypothesises that there is no association between the socio-economic status of the household and the newborn's LBW in India.

METHODS

The study utilised data from the fourth round of the National Family Health Survey, a national representative cross-sectional survey conducted in 2015-16 (N = 127,141). The concentration index (CCI) and the concentration curve (CC) measured socio-economic inequality in low birth status among newborns. Wagstaff decomposition further analysed key contributors in CCI by segregating significant covariates.

RESULTS

About 18.2% of children had low birth weight status. The value of concentration was - 0.05 representing that low birth weight status is concentrated among children from lower socio-economic status. Further, the wealth quintile explained 76.6% of the SES related inequality followed by regions of India (- 44%) and the educational status of mothers (43.4%) for LBW among children in India. Additionally, the body mass index of the women (28.4%), ante-natal care (20.8%) and residential status (- 15.7%) explained SES related inequality for LBW among children in India.

CONCLUSION

Adequate attention should be given to the mother's nutritional status. Awareness of education and usage of health services during pregnancy should be promoted. Further, there is a need to improve the coverage and awareness of the ante-natal care (ANC) program. In such cases, the role of the health workers is of utmost importance. Programs on maternal health services can be merged with maternal nutrition to bring about an overall decline in the LBW of children in India.

Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017-18

BACKGROUND

Over the last two decades, Bangladesh has made progress in reducing the percentage of stunted children under age 5 years from 51% in 2004 to 31% in 2017. Such reduction has created a source for new research to understand its contributing factors. The present study aims to identify such crucial factors which contributed in reducing the percentage of under-five stunting status of children from 2004 to 2017-18.

METHODS

The study used data from the Bangladesh Demographic and Health Surveys (BDHS), conducted in 2004 and in 2017-18, focused on children under-5-years of age (U5). The sample sizes were n = 6375 children included in the 2004 survey and n = 8312 children included in the 2017-18 survey. Descriptive analysis and bivariate analysis were conducted for a general characterization of the samples. Logistic regression was used to find out the significant factors contributing to the prevalence of stunting among U5 children. Furthermore, the Fairlie decomposition technique was used to identify the crucial factors that contributed to the reduction of stunting.

RESULTS

The prevalence of stunting among U5 children has declined significantly, from 49.8 to 30.7% between the two survey periods (2004 and 2017-18). Estimates of decomposition analysis show that overall, the selected variables explained 50.6% of the decrease in the prevalence of stunting. Mother's characteristics such as age at first birth, education level, working status and BMI (body mass index) status were the primary contributors of this change. Father's characteristics, such as education explained 9% of this change.

CONCLUSION

The results of the study highlight the importance of increasing maternal education and reducing inter-household wealth inequality to improve nutritional status of U5 children. In order to achieve further reduction in stunting, among U5 children in Bangladesh, this paper calls for policymakers to develop effective programs to improve maternal education, raise parental awareness of parents regarding children's height and weight, and aim to significantly reduce inter-household inequalities.

Does substance use by family members and community affect the substance use among adolescent boys? Evidence from UDAYA study, India

Background

Substance use among adolescents is risky behavior that had emerged as a concern in both developed and developing countries. Evidence revealed that substance use is more frequent among those adolescents whose immediate family members (parents, siblings and grandparents) also indulge in such consumption; however, scarce literature is present in the Indian context. Therefore, the present study examined whether substance use among family members and in the community is associated with the substance use behavior of adolescent boys in Uttar Pradesh and Bihar.

Method

We used the data for 5969 adolescent boys aged 10–19 years from the Understanding the Lives of Adolescents and Young Adults (UDAYA) survey conducted in 2016. A three-level random intercept logit model was utilized to understand the association of adolescent substance use behavior with familial and community context.

Results

We found that 16% of adolescent boys were using any substance (tobacco or alcohol or drug). The substance use was significantly higher among adolescent boys who were school dropouts (40%) than those who were currently in school. The prevalence of substance use is also high among those who were working (35%). Moreover, 19, 24 and 28% of the adolescents come from families where at least one of the family members consumed tobacco, alcohol and drugs, respectively. The odds of substance use were 2.13 times [CI:1.44–3.17] higher among those adolescent boys whose family members also indulged in substance use. Moreover, the likelihood of substance use was 1.24 times [CI:1.01–1.68] higher among the adolescent boys who come from a community with high substance use. Additionally, the risk of substance use is more likely among adolescent boys belonging to the same household of the same community.

Conclusion

It is evident that exposure to substance use in the family and community increases the likelihood of substance use among adolescent boys. There is a need for household- and community-level programmatic interventions to alleviate the risk of substance use among adolescents.

Decomposition of inequalities in out-of-pocket health expenditure burden in Saudi Arabia

Out-of-pocket (OOP) health expenditure remains a serious welfare problem worldwide. The aim of this study was to investigate and decompose factors that are associated with inequalities in relative OOP health expenditure, estimated as the percentage of income spent on healthcare, in Saudi Arabia. Data from 10,785 respondents were obtained from a national cross-sectional survey conducted in Saudi Arabia as a part of the 2018 Family Health Survey. Inequalities in relative OOP health expenditure were measured using concentration indices and concentration curves. Moreover, the Wagstaff approach was used to decompose the concentration index of relative OOP health expenditure to assess the contribution of each of its determinants. The results revealed that relative OOP health expenditure in Saudi Arabia are concentrated among the poor (concentration index = -0.151, p < 0.01), resulting in a greater burden for the poor. Decomposition of the factors that contribute to this inequality revealed heterogeneity. Specifically, factors that increase the burden amongst the poor included aged above 60 years, and low levels of education, whereas factors that increase the burden amongst the rich included male gender, below the age of 60 years, secondary and higher education, having health insurance coverage, and suffering from chronic illnesses. Importantly, these results demonstrate that poor people might be exposed to hazardous health spending. Therefore, efforts to curbing OOP health expenditure should be framed by taking into account the specific factors that drive the burden towards the poor, such as older age and lack of education, so as to safeguard the overall welfare of the poor.

Socio-economic inequality in functional disability and impairments with focus on instrumental activity of daily living: a study on older adults in India

Background

Studies have examined functional disability among older adults by combining Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). This study adds another dimension to ADL and IADL by combining various impairments such as hearing, vision, walking, chewing, speaking, and memory loss among older adults. This study examines functional disability among older adults in India as measured by ADL, IADL, along with various impairments.

Methods

This study utilized data from Building a Knowledge Base on Population Aging in India (BKPAI), a national-level survey and conducted across seven states of India. The study utilized three outcome variables, namely, ADL, IADL, and Impairments. Descriptive and bivariate analyses were used along with multivariate analysis to fulfil the objectives of the study. The concentration index was calculated for ADL, IADL, and impairments, and further, decomposition analysis was carried out for IADL.

Results

The results observed that nearly 7.5% of older adults were not fully independent for ADL. More than half (56.8%) were not fully independent for IADL, and nearly three-fourths (72.6%) reported impairments. Overall, ADL, IADL, and impairments were higher among older adult’s aged 80+ years, older adults with poor self-rated health, and those suffering from chronic diseases. The likelihood of ADL (AOR = 6.42, 95% CI: 5.1–8.08), IADL (AOR = 5.08, 95% CI: 4.16–6.21), and impairment (AOR = 3.50, 95% CI: 2.73–4.48) were significantly higher among older adults aged 80+ years compared to 60–69 years. Furthermore, older adults who had poor self-rated health and suffered from chronic diseases were more likely to report ADL (AOR = 2.95, 95% CI: 2.37–3.67 and AOR = 2.70, 95% CI: 2.13–3.43), IADL (AOR = 1.74, 95% CI: 1.57–1.92 and AOR = 1.15, 95% CI: 1.04–1.15), and impairment (AOR = 2.36, 95% CI: 2.11–2.63 and AOR = 2.95, 95% CI: 2.65–3.30), respectively compared to their counterparts. Educational status and wealth explained most of the socio-economic inequality in the prevalence of IADL among older adults.

Conclusion

It is recommended that the government advise older adults to adopt health-promoting approaches, which may be helpful. Further, there is a pressing need to deliver quality care to older adults suffering from chronic conditions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11591-1.

Socio-economic inequality in anthropometric failure among children aged under 5 years in India: evidence from the Comprehensive National Nutrition Survey 2016-18

BACKGROUND

Conventional indicators used to access the nutritional status of children tend to underestimate the overall undernutrition in the presence of multiple anthropometric failures. Further, factors contributing to the rich-poor gap in the composite index of anthropometric failure (CIAF) have not been explored. This study aims to estimate the prevalence of CIAF and quantify the contribution of factors that explain the rich-poor gap in CIAF.

METHODS

The present study used data of 38,060 children under the age of five years and their biological mothers, drawn from the nationally representative Comprehensive National Nutrition Survey of children and adolescents aged 0-19 years in India. The CIAF outcome variable in this study provide an overall prevalence of undernutrition, with six mutually exclusive anthropometric measurements of height-for-age, height-for-weight, and weight-for-age, calculated using the World Health Organization (WHO) Multicenter Growth Reference Study. Multivariate regression and decomposition analysis were used to examine the association between covariates with CIAF and to estimate the contribution of different covariates in the existing rich-poor gap.

RESULTS

An overall CIAF prevalence of 48.2% among children aged aged under 5 years of age was found in this study. 6.0% children had all three forms of anthropometric failures. The odds of CIAF were more likely among children belonging to poorest households (AOR: 2.41, 95% CI: 2.12-2.75) and those residing in urban area (AOR: 1.06, 95% CI 1.00-1.11). Children of underweight mothers and those with high parity were at higher risk of CIAF (AOR: 1.51, 95% CI: 1.42-1.61) and (AOR: 1.15, 95% CI: 1.08-1.22), respectively. Children of mother exposed to mass media were at lower risk of CIAF (AOR: 0.87, 95% CI: 0.81-0.93).

CONCLUSION

This study estimated a composite index to assess the overall anthropometric failure, which also provides a broader understanding of the extent and pattern of undernutrition among children. Findings show that maternal covariates contribute the most to the rich-poor gap. As well, the findings suggest that intervention programs with a targeted approach are crucial to reach the most vulnerable groups and to reduce the overall burden of undernutrition.

Anaemia among mother-father-child pairs in India: examining co-existence of triple burden of anaemia in a family

BACKGROUND

Anaemia is a global health concern and is also a common comorbidity in multiple medical conditions. Very limited research is available examining anaemia among family members in India and across various countries. The present study aimed to examine the co-existence of the triple burden of anaemia among mother-father-child pairs in a family.

METHODS

The data utilized was from the National Family Health Survey conducted in 2015-16. The effective sample size for the study was 26,910 couples, along with children aged 6-59 months. The bivariate and binary logistic regression analysis were applied to assess the factors associated with family-level anaemia. In bivariate analysis, a chi-square test was performed to determine the association of socio-demographic factors with anaemic family.

RESULTS

More than half of the mothers (57.5%) and their children (58%), along with 10% of fathers, were found to be anaemic; however, the co-existence of triple burden of anaemia among mother-father-child pairs was 4.7% in the study. The likelihood of family-level anaemia was low when both the parents were educated [OR: 0.69, CI: 0.58-0.81], and it was high when both the parents were employed [OR: 1.40 CI: 1.10-1.80]. Families from the Scheduled Tribe had a 62% higher likelihood to suffer from anaemia [OR: 1.62, CI: 1.33-1.97].

CONCLUSIONS

The suggested interventions include early diagnosis, effective management, and treatment of anaemia. Moreover, adequate complementary feeding practices for children shall also be promoted. Parental education on nutrition is also required, and community interventions are needed to improve parental education on nutrition. At last, there is a need for greater policy and program attention to improving nutritional knowledge among mothers so as to tackle the triple burden of anaemia among mother-father-child pairs.

Socio-economic inequality in the prevalence of violence against older adults - findings from India

BACKGROUND

Violence against older adults is a well-recognised socio-psychological and public health problem. It is uncared-for, undiagnosed, and an untreated problem that is widespread across both developed and developing countries. The present paper aims to understand the extent of the socio-economic status related inequality in violence against older adults in India.

METHODS

The study uses data from Building a Knowledge Base on Population Aging in India (BKPAI). Violence against older adults is the outcome variable for the study and is defined as older adults who faced any abuse or violence or neglect or disrespect by any person. Bivariate analysis and regression-based decomposition technique is used to understand the relative contribution of various socio-economic factors to violence against older adults (N = 9541).

RESULTS

The prevalence of violence faced by older adults was 11.2%. Older adults aged 80+ years [OR: 1.49; CI: 1.14-1.93] and working [OR: 1.26; CI: 1.02-1.56] had higher likelihood to face violence than their counterparts. On the other hand, older adults who were currently in union [OR: 0.79; CI: 0.65-0.95], lived with children [OR: 0.53; CI: 0.40-0.72] and who belonged to richer wealth quintile [OR: 0.35; CI:0.24-0.51] had lower likelihood to suffer from violence than their counterparts. The decomposition results revealed that poor older adults were more prone to violence (Concentration index: - 0.20). Household's wealth status was responsible for explaining 93.7% of the socio-economic status related inequality whereas living arrangement of older adults explained 13.7% of the socio-economic related inequality. Education and working status of older adults made a substantial contribution to the inequalities in reported violence, explaining 3.7% and 3.3% of the total inequality, respectively.

CONCLUSION

Though interpretation of the results requires a cautious understanding of the data used, the present study highlights some of the relevant issues faced by the country's older adults. With no or meagre income of their own, older adults belonging to the poorest wealth quintile have little or no bargaining power to secure a violent free environment for themselves. Therefore, special attention in terms of social and economic support should be given to the economically vulnerable older population.

Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis

BACKGROUND

Older people coming from a lower wealth gradient are more vulnerable to have stressful life events further adding more risk for common mental health disorders and psychological distress situations. The present study explores the associations between socioeconomic and health-related variables and psychological distress among older adults in India and the contribution of such factors to the inequalities in psychological distress.

METHODS

A cross-sectional survey of 9181 older adults conducted as 'Building a Knowledge Base on Population Ageing in India' was assessed. Logistic regression and decomposition models were used to analyze the data. Psychological distress was measured from General Health Questionnaire (GHQ-12). The value of Cronbach's alpha was 0.90. It was having a scale of 0 to 12 on the basis of experiencing stressful symptoms and was re-coded as 0 (representing 6+ stressful symptoms) and 1 (representing 5 and fewer symptoms).

RESULTS

Older adults from the poored, suffering from multi-morbidity, disabled, with low activities of daily living and low instrumental activities of daily living and poor cognitive ability were suffering from high psychological distress in India. Further, factors such as religion, caste, education, living arrangements, and self-worth in the family were major contributors to the concentration of psychological distress in older adults from poor households (concentration index: - 0.23).

CONCLUSION

The study suggests that among older people, there is a wide disparity of experiencing psychological distress across different socio-economic groups with significant factors being responsible for inequality in psychological distress. There is a need to build a "win-win" circumstance across sectors, including a broad spectrum of health, social and economic benefits to the vulnerable older population.

Does socio-economic inequality exist in micro-nutrients supplementation among children aged 6-59 months in India? Evidence from National Family Health Survey 2005-06 and 2015-16

Background

Globally, about 25% of children suffer from subclinical vitamin A deficiency (VAD), and approximately 300 million children globally had anemia as per 2011 estimates. Micronutrient deficiencies are generally referred to as “hidden hunger” because these deficiencies developed gradually. The present study determines the socio-economic inequalities in vitamin A supplementation (VAS) and Iron supplementation (IS) among children aged 6–59 months in India and to estimate the change in the percent contribution of different socio-economic correlates for such inequality from 2005 to 06 to 2015–16.

Methods

Data from National Family Health Survey (NFHS) 2005–06 and 2015–16 was used for the analysis. Bivariate analysis and logistic regression analysis was used to carve out the results. Moreover, Wagstaff decomposition analysis was used to find the factors which contributed to explain socio-economic status-related inequality among children in India.

Results

It was revealed that the percentage of children who do not receive vitamin A supplementation was reduced from 85.5% to 42.1%, whereas in the case of IS, the percentage reduced from 95.3% to 73.9% from 2005-06 to 2015–16 respectively. The child’s age, mother’s educational status, birth order, breastfeeding status, place of residence and empowered action group (EAG) status of states were the factors that were significantly associated with vitamin A supplementation and iron supplementation among children in India. Moreover, it was found the children who do not receive vitamin A supplementation and iron supplementation got more concentrated among lower socio-economic strata. A major contribution for explaining the gap for socio-economic status (SES) related inequality was explained by mother’s educational status, household wealth status, and empowered action group status of states for both vitamin A supplementation and iron supplementation among children aged 6–59 months in India.

Conclusion

Schemes like the Integrated Child Development Scheme (ICDS) would play a significant role in reducing the socio-economic status-related gap for micro-nutrient supplementation among children in India. Proper implementation of ICDS will be enough for reducing the gap between rich and poor children regarding micro-nutrient supplementation.

Prevalence and factors associated with triple burden of malnutrition among mother-child pairs in India: a study based on National Family Health Survey 2015-16

BACKGROUND

Malnutrition in mothers as well as in children is a significant public health challenge in most of the developing countries. The triple burden of malnutrition is a relatively new issue on the horizon of health debate and is less explored among scholars widely. The present study examines the prevalence of the triple burden of malnutrition (TBM) and explored various factors associated with the TBM among mother-child pairs in India.

METHODS

Data used in this study were drawn from the fourth round of the National Family Health Survey (NFHS-IV) conducted in 2015-16 (N = 168,784). Bivariate and binary logistic regression analysis was used to quantify the results. About 5.7% of mother-child pairs were suffering from TBM.

RESULTS

Age of mother, educational status of the mother, cesarean section delivery, birth size of baby, wealth status of a household, and place of residence were the most important correlates for the triple burden of malnutrition among mother-child pairs in India. Further, it was noted that mothers with secondary education level (AOR: 1.15, CI 1.08-1.23) were having a higher probability of suffering from TBM, and interestingly the probability shattered down for mothers having a higher educational level (AOR: 0.90, CI 0.84-0.95). Additionally, mother-child pairs from rich wealth status (AOR: 1.93, CI 1.8-2.07) had a higher probability of suffering from TBM.

CONCLUSION

From the policy perspective, it is important to promote public health programs to create awareness about the harmful effects of sedentary lifestyles. At the same time, this study recommends an effective implementation of nutrition programs targeting undernutrition and anemia among children and obesity among women.