Nutritional status of children in India: household socio-economic condition as the contextual determinant

Socioeconomic inequality in child health outcomes in India: analyzing trends between 1993 and 2021

BACKGROUND

The health of India's children has improved over the past thirty years. Rates of morbidity and anthropometric failure have decreased. What remains unknown, however, is how those patterns have changed when examined by socioeconomic status. We examine changes in 11 indicators of child health by household wealth and maternal education between 1993 and 2021 to fill this critical gap in knowledge. Doing so could lead to policies that better target the most vulnerable children.

METHODS

We used data from five rounds of India's National Family Health Survey conducted in 1993, 1999, 2006, 2016, and 2021 for this repeated cross-sectional analysis. We studied mother-reported cases of acute respiratory illness and diarrhea, hemoglobin measurements for anemia, and height and weight measurements for anthropometric failure. We examined how the prevalence rates of each outcome changed between 1993 and 2021 by household wealth and maternal education. We repeated this analysis for urban and rural communities.  RESULTS: The socioeconomic gradient in 11 indicators of child health flattened between 1993 and 2021. This was in large part due to large reductions in the prevalence among children in the lowest socioeconomic groups. For most outcomes, the largest reductions occurred before 2016. Yet as of 2021, except for mild anemia, outcome prevalence remained the highest among children in the lowest socioeconomic groups. Furthermore, we show that increases in the prevalence of stunting and wasting between 2016 and 2021 are largely driven by increases in the severe forms of these outcomes among children in the highest socioeconomic groups. This finding underscores the importance of examining child health outcomes by severity.

CONCLUSIONS

Despite substantial reductions in the socioeconomic gradient in 11 indicators of child health between 1993 and 2021, outcome prevalence remained the highest among children in the lowest socioeconomic groups in most cases. Thus, our findings emphasize the need for a continued focus on India's most vulnerable children.

Decoding India's Child Malnutrition Puzzle: A Multivariable Analysis Using a Composite Index

BACKGROUND

This study examines the levels and predictors of malnutrition in Indian children under 5 years of age.

METHODS

Composite Index of Anthropometric Failure was applied to data from the India National Family Health Survey 2019-2021. A multivariable logistic regression model was used to assess the predictors.

RESULTS

52.59% of children experienced anthropometric failure. Child predictors of lower malnutrition risk included female gender (adjusted odds ratio (AOR) = 0.881) and average or large size at birth (AOR = 0.729 and 0.715, respectively, compared to small size). Higher birth order increased malnutrition odds (2nd-4th: AOR = 1.211; 5th or higher: AOR = 1.449) compared to firstborn. Maternal predictors of lower malnutrition risk included age 20-34 years (AOR = 0.806), age 35-49 years (AOR = 0.714) compared to 15-19 years, normal BMI (AOR = 0.752), overweight and obese BMI (AOR = 0.504) compared to underweight, and secondary or higher education vs. no education (AOR = 0.865). Maternal predictors of higher malnutrition risk included severe anemia vs. no anemia (AOR = 1.232). Protective socioeconomic factors included middle (AOR = 0.903) and rich wealth index (AOR = 0.717) compared to poor, and toilet access (AOR = 0.803). Children's malnutrition risk also declined with paternal education (primary: AOR = 0.901; secondary or higher: AOR = 0.822) vs. no education. Conversely, malnutrition risk increased with Hindu (AOR = 1.258) or Islam religion (AOR = 1.369) vs. other religions.

CONCLUSIONS

Child malnutrition remains a critical issue in India, necessitating concerted efforts from both private and public sectors. A 'Health in All Policies' approach should guide public health leadership in influencing policies that impact children's nutritional status.

Determinants of normal haemoglobin concentration among under-five children in Sub-Saharan Africa: a Positive deviance inquiry using cross-sectional study design

BACKGROUND

Low haemoglobin level in children is linked with short-term and long-term consequences including developmental delay. Globally, over half of the children under the age of five years had low haemoglobin concentration. However, there is limited research on the prevalence and determinants of normal haemoglobin concentration among under-five children in sub-Saharan Africa.

OBJECTIVE

To assess determinants of normal haemoglobin concentration among under-five children in SSA.

DESIGN

Cross-sectional study design using a positive deviance approach SETTING: 33 SSA countries.

PARTICIPANTS

129 408 children aged 6-59 months PRIMARY AND SECONDARY OUTCOME MEASURES: A multilevel Poisson regression model with robust variance was fitted to identify determinants of normal haemoglobin concentration. An adjusted prevalence ratio with a 95% CI was reported to declare the statistical significance.

RESULT

The pooled prevalence of normal haemoglobin concentration among under-five children in SSA was 34.9% (95% CI: 34.6% to 35.1%). High maternal education, middle and rich household wealth, female child, frequent antenatal care visits, non-anaemic mothers, taking anthelmintic drugs and normal nutritional status were associated with increased odds of normal haemoglobin concentration. On the other hand, higher birth order, having fever and diarrhoea, rural residence were associated with lower odds of normal haemoglobin levels.

CONCLUSION

According to our finding, only four out of 10 under-five children in SSA had a normal haemoglobin level. This finding proved that anaemia among children in SSA remains a serious public health concern. Therefore, improving maternal education, provision of drugs for an intestinal parasite and early detection and treatment of maternal anaemia, febrile illness and diarrhoeal disease is important.

Exploring the paradox of Muslim advantage in undernutrition among under-5 children in India: a decomposition analysis

BACKGROUND

While there is a substantial body of research on inequalities in child nutrition along the axes of gender and socioeconomic gradient, the socio-religious differences in health and nutrition outcomes remain grossly understudied. The handful of studies on the socio-religious differential in child health outcomes has found a Muslim advantage in chances of survival and nutritional status over Hindus despite their comparatively lower socioeconomic status, which undeniably warrants investigating the pathways through which this paradoxical Muslim advantage manifests.

METHODS

Using data from the National Family Health Survey, 2015-16, we quantify the inter-group differentials in child undernutrition (stunting, wasting, and underweight) between Muslims and caste-disaggregated Hindus. We further decompose the gap to delineate its major contributory factors by employing Fairlie's decomposition method.

RESULTS

The analysis revealed that, compared to the Hindus as an aggregated group, Muslims have a higher rate of stunting and lower rates of wasting and being underweight. However, the differences get altered when we disaggregate the Hindus into high and low castes. Muslims have a lower prevalence of all three measures of undernutrition than the low-caste Hindus and a higher prevalence of stunting and underweight than the high-caste Hindus, consistent with their levels of socioeconomic status. However, the prevalence of wasting among Muslim children is lower than among high-caste Hindus. This nutritional advantage is paradoxical because Muslims' relatively poorer socioeconomic status compared to high-caste Hindus should have disadvantaged them. In the decomposition analysis, the Muslim advantage over the low-caste Hindus could only be partially attributed to the former's better economic status and access to sanitation. Moreover, the poor performance of Muslim children compared to the high-caste Hindus in stunting and underweight could mainly be explained by the religious differentials in birth order, mother's education, and wealth index. However, Muslim children's comparatively better performance in wasting than the high-caste Hindus remained a puzzle.

CONCLUSION

The Muslim advantage over high-caste Hindus in wasting and low-caste Hindus in all the indicators of undernutrition may have been rendered by certain 'unobserved' behavioural and cultural differences. However, further exploration is needed to make a definitive claim in this respect.

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.

Decomposing acute malnutrition by educational inequality of mother's among under five children in Jammu and Kashmir

Health outcomes in the state of Jammu and Kashmir have shown improvement in recent decades. However, nutritional achievements, particularly among children under the age of five, have not seen similar progress. Various factors influence the nutritional status of this age group, with the socio-cultural and biological attributes of mothers being considered significant determinants. While some studies have examined these attributes, there is a scarcity of research exploring the causal link between socio-culturally determined factors, such as maternal education, and child nutritional achievements, especially in Indian states located in North India. This paper aims to address this gap by analysing the prevalence of acute malnutrition (stunting) among children under five in Jammu and Kashmir in relation to educational inequality among mothers. The latest round of the National Family Health Survey (NFHS-5) is used to assess the levels of stunting (low height for age) among children, considering the literacy status of mothers and other control variables. Bivariate and multivariable methods are employed to study the association and identify risk factors. Additionally, the Oaxaca decomposition method is used to analyse the educational gap in factors associated with child stunting. The results indicate a higher prevalence of stunting among children of uneducated mothers (29%) compared to those of educated mothers (25%). The findings demonstrate a lower risk of stunting among children whose mothers are literate (OR 0.89). The Oaxaca decomposition analysis reveals a statistically significant difference in stunting between children based on their mother's education. These results highlight the wide disparities in acute malnutrition among children due to variations in maternal education. It is therefore crucial for policymakers to prioritize efforts to reduce educational disparities in order to alleviate the nutritional burden faced by children.

Rural child health in India: the persistent nature of deprivation, undernutrition and the 2030 Agenda

The 2030 Agenda for sustainable development was launched to achieve Sustainable Development Goals (SDGs) across the globe. This paper is based on the primary database to assess the nutritional status of 5-10 years children and the incidence of deprivation in their households of a backward district (Purulia), India in the context of the first two SDGs, e.g., no poverty and zero hunger. We conclude that around 74% of children are undernourished. The proportion of households multidimensionally deprived is 90%, and the majority of them live on less than $1.25 a day. Results reveal that the BMI of mother and the education of father are the two most statistically significant predictors of child malnutrition. Purulia has long been witnessing the persistent nature of deprivation, which is well reflected in the child's health. The district is quite far from the national targets in achieving the SDGs. Government, private sector, and civil society must come together to accelerate the progress of SDGs.

Essential childhood immunization in 43 low- and middle-income countries: Analysis of spatial trends and socioeconomic inequalities in vaccine coverage

BACKGROUND

Globally, access to life-saving vaccines has improved considerably in the past 5 decades. However, progress has started to slow down and even reverse in recent years. Understanding subnational heterogeneities in essential child immunization will be critical for closing the global vaccination gap.

METHODS AND FINDINGS

We use vaccination information for over 220,000 children across 1,366 administrative regions in 43 low- and middle-income countries (LMICs) from the most recent Demographic and Health Surveys. We estimate essential immunization coverage at the national and subnational levels and quantify socioeconomic inequalities in such coverage using adjusted concentration indices. Within- and between-country variations are summarized via the Theil index. We use local indicator of spatial association (LISA) statistics to identify clusters of administrative regions with high or low values. Finally, we estimate the number of missed vaccinations among children aged 15 to 35 months across all 43 countries and the types of vaccines most often missed. We show that national-level vaccination rates can conceal wide subnational heterogeneities. Large gaps in child immunization are found across West and Central Africa and in South Asia, particularly in regions of Angola, Chad, Nigeria, Guinea, and Afghanistan, where less than 10% of children are fully immunized. Furthermore, children living in these countries consistently lack all 4 basic vaccines included in the WHO's recommended schedule for young children. Across most countries, children from poorer households are less likely to be fully immunized. The main limitations include subnational estimates based on large administrative divisions for some countries and different periods of survey data collection.

CONCLUSIONS

The identified heterogeneities in essential childhood immunization, especially given that some regions consistently are underserved for all basic vaccines, can be used to inform the design and implementation of localized intervention programs aimed at eliminating child suffering and deaths from existing and novel vaccine-preventable diseases.

Identifying Predictors for Minimum Dietary Diversity and Minimum Meal Frequency in Children Aged 6-23 Months in Uganda

Adequate complementary foods contribute to good health and growth in young children. However, many countries are still off-track in achieving critical complementary feeding indicators, such as minimum meal frequency (MMF), minimum dietary diversity (MDD) and minimum acceptable diet (MAD). In this study, we used the 2016 Ugandan Demographic Health Survey (UDHS) data to assess child feeding practices in young children aged 6-23 months. We assess and describe complementary feeding indicators (MMF, MDD and MAD) for Uganda, considering geographic variation. We construct multivariable logistic regression models-stratified by age-to evaluate four theorized predictors of MMF and MDD: health status, vaccination status, household wealth and female empowerment. Our findings show an improvement of complementary feeding practice indicators in Uganda compared to the past, although the MAD threshold was reached by only 22% of children. Children who did not achieve 1 or more complementary feeding indicators are primarily based in the northern regions of Uganda. Cereals and roots were the foods most consumed daily by young children (80%), while eggs were rarely eaten. Consistent with our hypotheses, we found that health status, vaccination status and wealth were significantly positively associated with MDD and MMF, while female empowerment was not. Improving nutrition in infant and young children is a priority. Urgent nutritional policies and acceptable interventions are needed to guarantee nutritious and age-appropriate complementary foods to each Ugandan child in the first years of life.

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.

Individual-and community-level factors associated with anemia among children aged 6–23 months in sub-Saharan Africa: evidence from 32 sub-Saharan African countries

Background

Anemia among children aged 6–23 months is a major public health problem worldwide specifically in sub-Saharan Africa (SSA). Anemia during the childhood period causes significant short-and long-term health consequences. However, there is a paucity of evidence on Anemia among children aged 6–23 months in SSA. Therefore, this study examined the individual- and community-level factors associated with anemia among children aged 6–23 months in sub-Saharan Africa.

Methods

A secondary data analysis was done based on the most recent Demographic and Health Survey (DHS) of 32 sub-Saharan African countries. A total weighted sample of 51,044 children aged 6–23 months was included for analysis. We have used a multilevel proportional odds model to identify predictors of severity levels of anemia. Variables with p < 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multivariable multilevel proportional odds model, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) was reported to declare the statistical significance and strength of the association.

Results

In this study, about 76.6% (95% CI: 76.2%, 76.9%) of children aged 6–23 months in sub-Saharan Africa were anemic. In the multivariable multilevel proportional odds model, being female, being aged 18–23 months, higher level of maternal education, being larger size at birth, belonging to a wealthier household, getting four ANC visits and above, advanced maternal age, and belonging to a community with high maternal education were significantly associated with lower odds of higher levels of anemia. On the other hand, being twin birth, being smaller size at birth, being of a higher order of birth, having fever in the last two weeks, and distance to a health facility were significantly associated with higher odds of higher levels of anemia.

Conclusion

The study found that more than three-fourths of children aged 6–23 months in sub-Saharan Africa were anemic. This finding proved that the severity levels of anemia among children in sub-Saharan Africa remain a serious public health concern. Therefore, to curve this problem enhancing maternal education, promoting maternal health service utilization, and improving health care access is crucial. In addition, health care providers better give special emphasis to twin births, higher-order birth, and those belonging to poor households to reduce the incidence of anemia among children aged 6–23 months in SSA.

Understanding the Socio-Economic Vulnerability in Child Malnutrition Between Migrants and Non-Migrants Children (12-59 Months) in India: Evidence from a Cross-Sectional Study

India has witnessed increasing trends in internal migration over the last three decades. In India, migrant children are not a homogeneous group and their reasons for movement and vulnerabilities vary across socio-economic stratum. For some children, migration may open possibilities and is associated with expanding social and economic spheres, but for many others, it may bring serious risks. Therefore, the study has been carried out to understand socio-economic vulnerability in child nutrition with migration status and other contributing factors in India. This study used data from the National Family Health Survey, the fourth in the NFHS series which was conducted in 2015-2016 (NFHS-4). We were interested in looking at the children age 12-59 months for their nutritional indicators such as stunting and underweight across migrants and non-migrants children. This resulted in a sample of 199,448 children in selected age group and among them 33.1% children belongs to the migrant family as compared to 67% of non-migrant children. Overall, 44.2% of children were stunted and 39.5% were underweight among non-migrant children as compared to 37.4% & 32.8% of migrant children were stunted and underweight respectively. Further, the results showed that among the social groups, scheduled caste children were found a high variation in underweight (34% vs. 41.6%) and stunting (36% vs. 46%) between migrants and non-migrants children. Similar trend of malnourishment is found in the poor wealth quintile, for rural residents and low educated women with non-migrant status. Those children who were poor but non-migrant were more likely to be malnourished as underweight [aOR; 1.15, CI: 1.11-1.18] and stunted [aOR; 1.17, CI:1.13-1.20] as compared to migrant status children in the same category of the household. Similarly in reference to scheduled caste migrant group, the scheduled caste non-migrant were more likely to be underweight [aOR; 1.15, CI: 1.09-1.20] and stunted [aOR; 1.18, CI: 1.12-1.23] than the children with migrant status. There were huge differences between migrant and non-migrant children in nutritional statuses. Education, caste and wealth index are found to be an important variables to explain the differential between migrants and non-migrants in child's nutritional aspects. Children associated with poor socio-economic vulnerability and non-migrant category need to be taken care of more and a community targeted approach is required to understand the gaps. The programs such as ICDS, and Poshan Abhiyan need to be revamped adding the migration aspect of the families and children in terms of their health and nutritional aspects.

Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data

Background

Malnutrition is considered a major public health challenge and is associated with a range of health issues, including childhood stunting. Stunting is a reliable and well-recognized indicator of chronic childhood malnutrition. The objective of this study is to determine the risk factors associated with stunting among 17,490 children below five years of age in Bangladesh.

Methods

Correlates of child stunting were examined using data generated by a cross-sectional cluster survey conducted in Bangladesh in 2019. The data includes a total of 17,490 children (aged < 5 years) from 64,400 households. Multiple logistic regressions were used to determine the risk factors associated with child stunting and severe stunting.

Results

The prevalence of stunting and severe stunting for children was 25.96% and 7.97%, respectively. Children aged 24 to < 36 months [Odds Ratio (OR) = 2.65, 95% CI: 2.30, 3.05] and aged 36 to < 48 months [OR = 2.33, 95% CI: 2.02, 2.69] had more risk of stunting compared to the children aged < 6 months. Children from Sylhet division had the greatest risk of stunting of all the eight divisions [OR = 1.26, 95% CI: 1.09, 1.46]. Children of secondary complete or higher educated mothers were less likely to develop stunting [OR = 0.66, 95% CI: 0.56, 0.79] compared with children of mothers having no education at all. Similarly, children of secondary complete or higher educated father [OR = 0.74, 95% CI: 0.63, 0.87] were found to have lower risk of stunting compared with children whose father hadn’t any education. Substantially lower risk of stunting was observed among children whose mother and father both completed secondary education or above [OR = 0.59, 95% CI: 0.52, 0.69]. Children from the richest households [OR = 0.49, 95% CI: 0.41, 0.58] had 51% lower odds of stunting compared to children from the poorest households.

Conclusions

After controlling for socioeconomic and demographic factors, parental education and household position in the wealth index were found to be the most important determinants of child stunting in Bangladesh.

Socio-economic inequalities in children's nutritional status in Democratic Republic of the Congo in 2017-2018: an analysis of data from a nationally representative survey

OBJECTIVE

The Democratic Republic of the Congo (DRC) has one of the highest levels of child undernutrition globally; however, little information exists on the underlying socio-economic inequalities resulting in undernutrition. This study aims to examine the differences in the nutritional statuses of children across different wealth quintiles and explores the association between malnutrition in children and related factors.

DESIGN

We utilised the 2018 Multiple Indicator Cluster Survey data. We estimated the prevalence of malnutrition across all twenty-six provinces. The study used the WHO 2006 child growth standards to measure stunting, underweight and wasting. We employed a mixed-effect linear model to analyse the association between nutritional status and healthcare accessibility, domestic sanitation, and socio-demographic factors.

SETTING

Twenty-six provinces in the DRC.

PARTICIPANTS

21 477 children under 5 years of age and 21 828 women of childbearing age in the DRC.

RESULTS

The national prevalence of underweight, stunting and wasting was found to be 23·33 %, 42·05 % and 5·66 %, respectively. Household wealth and mother's education level were significantly positively associated with the nutritional statuses of children. Among households in the lowest wealth quintile, residence in urban areas was a protective factor against undernutrition.

CONCLUSION

The findings of this study indicate considerable socio-economic inequalities in the nutritional statuses of children under 5 years of age in the DRC, highlighting the need for nutrition promotion as part of maternal and child healthcare. Interventions and policies should include improving nutrition education for less-educated mothers, in particular, in the central provinces of the DRC.

Nutritional Status of Married Tribal Women in Jharkhand, India

The article explores the socio-economic and nutritional status of tribal married women in East Singhbum district, Jharkhand, by using mixed methods of enquiry. Dietary and anthropometric methods of nutritional assessment were supported by qualitative data. It was found that the most potent reason for undernourishment among tribal women is household food insecurity and low calorific intake. To enhance the nutritional status of tribal women, it is suggested that the issue of malnutrition be addressed with a life cycle approach, along with sustained behaviour change communication with the help of public–private partnerships and the efficient implementation of existing and new programmes to increase purchasing power and food security.

The Role of Land Ownership and Non-Farm Livelihoods on Household Food and Nutrition Security in Rural India

South Asia remains the region with the highest prevalence of undernourishment with India accounting for 255 million food insecure people. A worsening of child nutritional outcomes has been observed in many Indian states recently and children in rural areas have poorer nutrition compared to those in urban areas. This paper investigates the relationship between land ownership, non-farm livelihoods, food security, and child nutrition in rural India, using the Young Lives Survey. The survey covers the same rural households and children over the period 2002–2013 in the states of Andhra Pradesh and Telangana. Our empirical analysis uses a sample of 1209 children (and their households) who were aged around 1 year in 2002. Our results show that large agricultural land ownership is significantly associated with better child nutrition (measured using height-for-age and stunting) and household food security. A transition from farm to non-farm work improves child nutrition, but only among landless households. While access to land is still critical for improving household food and nutrition security among rural households, there is a trend towards greater non-farm livelihoods, and a decline in reliance on farming, particularly among landless and marginal farmers.

Nutritional status and concomitant factors of stunting among pre-school children in Malda, India: A micro-level study using a multilevel approach

Background

Malnutrition was the main cause of death among children below 5 years in every state of India in 2017. Despite several flagship programmes and schemes implemented by the Government of India, the latest edition of the Global Nutrition Report 2018 addressed that India tops in the number of stunted children, which is a matter of concern. Thus, a micro-level study was designed to know the level of nutritional status and to study this by various disaggregate levels, as well as to examine the risk factors of stunting among pre-school children aged 36–59 months in Malda.

Method

A primary cross-sectional quantitative survey was conducted using structured questionnaires following a multi-stage, stratified simple random sampling procedure in 2018. A sum of 731 mothers with at least one eligible child aged 36–59 months were the study participants. Anthropometric measures of children were collected following the WHO child growth standard. Children were classified as stunted, wasted, and underweight if their HAZ, WHZ, and WAZ scores, respectively, were less than −2SD. The random intercept multilevel logistic regression model has been employed to estimate the effects of possible risk factors on childhood stunting.

Results

The prevalence of stunting in the study area is 40% among children aged 36–59 months, which is a very high prevalence as per the WHO’s cut-off values (≥40%) for public health significance. Results of the multilevel analysis revealed that preceding birth interval, low birth weight, duration of breastfeeding, mother’s age at birth, mother’s education, and occupation are the associated risk factors of stunting. Among them, low birth weight (OR 2.22, 95% CI: 1.44–3.41) and bidi worker as mothers’ occupation (OR 1.92, 95% CI: 1.18–3.12) are the most influencing factors of stunting. Further, about 14 and 86% variation in stunting lie at community and child/household level, respectively.

Conclusion

Special attention needs to be placed on the modifiable risk factors of childhood stunting. Policy interventions should direct community health workers to encourage women as well as their male partners to increase birth interval using various family planning practices, provide extra care for low birth weight baby, that can help to reduce childhood stunting.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11704-w.

Intersectional role of paternal gender-equitable attitudes and maternal empowerment in child undernutrition: a cross-sectional national study from India

OBJECTIVES

To investigate the role of the intersection of maternal empowerment, paternal gender-equitable attitudes, and household wealth in stunting and severe stunting among underfives in India.

DESIGN

Cross-sectional study.

SETTING

Community-based setting, nationally representative household survey from India.

PARTICIPANTS

We used a sample of 22 867 mother-father-child triads from the fourth round of India's National Family Health Survey (2015-2016). Our inclusion criterion was children below the age of 5 years. The exclusion criterion was a lack of information on paternal gender-equitable attitudes and maternal empowerment. Observations with missing data on any of the covariates were also excluded.

PRIMARY OUTCOME

Stunting and severe stunting among underfives in India.

RESULTS

Our survey-adjusted logistic regression models revealed that even among children from poorer households, those with either an empowered mother or a father with gender-equitable attitudes versus those with none such parents, had a lower odds of stunting (adjusted OR (AOR): 0.92, 95% CI: 0.84 to 1.02) and severe stunting (AOR: 0.87, 95% CI: 0.77 to 0.98), independent of all covariates. We also found substantially lower odds of severe stunting in groups with parental concordance in a woman-friendly outlook, whether non-affluent (AOR: 0.80, 95% CI: 0.67 to 0.94) or affluent (AOR: 0.50, 95% CI: 0.38 to 0.67).

CONCLUSION

We argue that while women's autonomy could reduce the risk of child undernutrition, focusing on men's attitudes towards gender equity also holds promise for reducing undernutrition. Our findings not only underscore how patriarchy is embodied in undernourished children, but also suggest programmatic interventions to address this deep-rooted scourge in India.

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.

Trends in underweight, stunting, and wasting prevalence and inequality among children under three in Indian states, 1993-2016

Child undernutrition remains high in India with far-reaching consequences for child health and development. Anthropometry reflects undernutrition. We examined the state-level trends in underweight, stunting, and wasting prevalence and inequality by living standards using four rounds of the National Family Health Surveys in 26 states in India, conducted in 1992–1993, 1998–1999, 2005–2006, and 2015–2016. The average annual reduction (AAR) for underweight ranged from 0.04 percentage points (pp) (95% CI − 0.12, 0.20) in Haryana to 1.05 pp (95% CI 0.88, 1.22) in West Bengal for underweight; 0.35 pp (95% CI 0.11, 0.59) in Manipur to 1.47 (95% CI 1.19, 1.75) in Himachal Pradesh for stunting; and − 0.65 pp (95% CI − 0.77, − 0.52) in Haryana to 0.36 pp (95% CI 0.22, 0.51) in Bihar & Jharkhand for wasting. We find that change in the pp difference between children with the poorest and richest household living standards varied by states: statistically significant decline (increase) was observed in 5 (3) states for underweight, 5 (4) states for stunting, and 2 (1) states for wasting. Prevalence of poor anthropometric outcomes as well as disparities by states and living standards remain a problem in India.

Influence of Socioeconomic Determinants on Undernourishment in South Asia: A Panel Cointegration Analysis

Background: Undernourishment is a major public health challenge worldwide, with severe economic consequences. If occurs in the first years of life, it may cause long-lasting effect, particularly regarding personal development and economic growth of the country. Objectives: The current study aimed to investigate the influence of socioeconomic factors, particularly education and national income, on undernourishment in selected countries of South Asia. Methods: The annual panel data for 2001 to 2018 were analyzed using the vector error correction model (VECM) technique and the Toda-Yamamoto Granger causality test (TYGCT). Results: According to the results of the VECM, adult literacy has mixed effects on undernourishment in the short run, while in the long term, it is associated with significant improvements in undernourishment. There is a negative association between economic growth and undernourishment in the short term; while, it disappears in the long term. The TYGCT is designed to validate the findings of the VECM as well as to investigate their robustness. According to the findings of the TYGCT, adult literacy alone can both improve undernourishment and enhance economic growth. Conclusions: This study demonstrated a negative association between undernourishment and adult literacy rate in the long term; that is, higher literacy is associated with lower rates of undernourishment, which in turn results in improved community health. Adult literacy causes declined undernourishment and enhanced economic growth. Therefore, South Asian countries should incorporate appropriate interventions based on health and nutritional evidence in the curricula of schools to, firstly, gear up the nutritional awareness and, secondly, to strive redistribution of income among the relatively poor, which may reduce the undernourishment to a significant extent.

Breastfeeding knowledge and practices of working mothers in the informal economy in New Delhi: A formative study to explore new intervention pathways towards improved maternal and child health outcomes

This was a formative study to yield evidence on the conceptual and empirical pathways to improve maternal and child health (MCH) outcomes among informally working mothers while securing livelihoods, and for this, explores how informally working women navigate time sensitive childcare practices such as exclusive breastfeeding (EBF) with their work, and how do the conditions and nature of informal employment shape it. This study was conducted in February-May 2017 using non-probability sampling for cross-sectional semi structured interviews (n = 92) and focus group discussions (n = 56) with working mothers with a child under 2 and 5 years respectively, having regular and stable working history in the informal economy. The study team partnered with Self-Employed Women's Association for site selection and recruitment of study participants across 4 sectors of work in New Delhi, India: home-based work, pheri or barter work, street vending and domestic work. While 65% women report EBF for 6-months, checks with infant feeding recall reveal several disruptions from customary practices and working conditions, and successful EBF only in home-based work, the least paying of all. 59% women reported returning to work under 6-months, leading to early weaning. 90% women were aware of the importance of EBF in the standard language of public health messaging, however, checks with non-standard language queries reveal a drop to 55-80% exhibiting lack of effective knowledge that women could use. The findings emphasise that conditions and nature of informal employment shape MCH outcomes in cities of the global south, where such employment dominates. Furthermore, we use the findings to suggest the following responsive approaches for intervention: delaying mother's return to work, increasing proximity between mother and child, deeper and engaged knowledge of breastfeeding and early child development practices, improving problem solving capacity and agency of the mother, and enabling home and workplace conditions.

The Magnitude of Wasting and Associated Factors among Children Aged 2-5 Years in Southern Ethiopia: A Cross-Sectional Study

Background

Malnutrition accounts for almost half of the global under-five child mortality. Worm infections are one of the immediate and commonest causes that affect the nutritional status of children. There is limited data related to the magnitude of wasting and associated factors among children. Therefore, this study was aimed at assessing the magnitude of wasting and associated factors among children aged 2 to 5 years in the Wonago district of Gedeo Zone, southern Ethiopia.

Methods

Community-based cross-sectional study design was conducted. A total of 3324 children aged 2-5 years were included in the study. A pretested semistructured questionnaire was used for data collection, and anthropometric measurements were computed using the World Health Organization Anthro-nutritional software. The multivariate logistic regression analyses with adjusted odds ratio, 95% confidence interval, and P value less than 0.05 were used to identify the factors significantly associated with wasting.

Results

A total of 3273 children aged 2-5 years participated with a 98.5% response rate. The magnitude of wasting was 13%. The factors like government-employed fathers [AOR = 1.93; 95% CI (1.08, 3.46)], child's age range between 48 and 59 months [AOR = 1.46; 95% CI (1.01, 2.09)], being a male child [AOR = 1.42; 95% CI (1.07, 1.88)], having diarrheal disease in the past two weeks [AOR = 0.39; 95% CI (0.17, 0.90)], and bathing less than two times per week [AOR = 1.42; 95% CI (1.03, 1.96)] were factors significantly associated with wasting.

Conclusion

Undernutrition in children is still a problem, and the proportion of wasting was 13%. Government-employed fathers, child's age range between 48 and 59 months, being a male child, having diarrheal disease in the past two weeks, and bathing below two times per week were significantly associated with children's nutritional status warranting close attention by policymakers and stakeholders. For researchers, a further longitudinal study is recommended to get strong evidence.

An Analysis of Maternal, Social and Household Factors Associated with Childhood Anemia

Anemia is highly prevalent in all strata of populations in India, with established evidence of intergenerational anemia. The state of Madhya Pradesh was selected to study childhood anemia as the population is mostly rural, with many tribal districts, and has the highest infant mortality rate in India. This study aims to understand the maternal, social and household factors that affect anemia among children aged 6 months to 5 years by analyzing the the National Family Health Survey (NFHS) conducted in 2015-2016. Children aged 6-59 months with estimated hemoglobin levels were included in this study. Bivariate and multivariable analyses were conducted to understand associations between childhood anemia and various socioeconomic factors. Two models to understand the presence of anemia and the levels of anemia were computed. Higher likelihood of having severe childhood anemia was observed among children of younger mothers (15- to 19-year-old mothers (adjusted odds ratio (aOR) 2.08, 95% confidence interval (CI): 1.06, 4.06, less educated (uneducated mothers aOR 2.25, 95% CI 1.13, 4.48) and belonged to a scheduled tribe (aOR 1.88, 95% CI 1.07, 3.29). Strong associations between anemia in mothers and their children suggest intergenerational anemia which has long-term effects. Malnourished children (severe stunting aOR 3.19, 95% CI 2.36, 4.31) and children born with very low birth weight (aOR 4.28, 95% CI 2.67, 6.87) were more likely to have anemia. These findings strongly suggest more proactive interventions including prenatal healthcare for women and monitoring of the nutrition children at the community level to combat childhood anemia. Evaluations of existing programs should be conducted to understand the gaps in reducing anemia and malnutrition in children.

Determinants of stunting among children under 2 years in urban informal settlements in Mumbai, India: evidence from a household census

BACKGROUND

There is limited evidence on the determinants of childhood stunting across urban India or specifically in slum settlements. This study aims to assess the extent of stunting among children under 2 years of age and examine its determinants in informal settlements of Mumbai.

METHODS

Data were collected in 2014-2015 in a post intervention census of a cluster randomized controlled trial to improve the health of women and children. Census covered 40 slum settlements of around 600 households each. A total of 3578 children were included in the study. Mixed effects logistic regression models were used to identify factors associated with stunting.

RESULTS

The prevalence of stunting among children aged 0-23 months was 38%. In the adjusted model, higher maternal education (AOR 0.59; 95% CI 0.42, 0.82), birth interval of at least 2 years (AOR 0.71; 95% CI 0.58, 0.87) and intended conception of the child (AOR 0.80; 95% CI 0.64, 0.99) were associated with lower odds of stunting. Maternal exposure to physical violence (AOR 1.83; 95% CI 1.21, 2.77) was associated with higher odds of being stunted. A child aged 18-23 months had 5.04 times greater odds (95% CI 3.91, 6.5) of being stunted than a child less than 6 months of age. Male child had higher odds of being stunted (AOR 1.33; 95% CI 1.14, 1.54).

CONCLUSIONS

Our findings support a multidimensional aetiology for stunting. The results of the study emphasize the importance of women's status and decision-making power in urban India, along with access to and uptake of family planning and services to provide support for survivors of domestic violence. Ultimately, a multilateral effort is needed to ensure the success of nutrition-specific interventions by focusing on the underlying health and social status of women living in urban slums.

TRIAL REGISTRATION

ISRCTN Register: ISRCTN56183183 , and Clinical Trials Registry of India: CTRI/2012/09/003004.

Social identity as a driver of adult chronic energy deficiency: analysis of rural Indian households

This study investigates the effect of social identity (caste, religion, gender, and asset) on adult chronic energy deficiency (CED) using the Indian Human Development Survey (IHDS) data from 2005 and 2011. From 2005 to 2011, out of 63,323 adult individuals, four-fifths (85.7%) of men and two-fifths (44.7%) of women improved their health status from CED to non-CED. The lowest improvement was observed among Dalit (Scheduled Casts, Scheduled Tribes) women: 41.9% moved from CED to non-CED status. We also find significant differences in prevalence of CED between Dalit and non-Dalit individuals and households. To achieve a significant improvement in CED, programs targeting malnourishment must be prioritized the Dalit households.

Composite Indexing for Nutritional Status Evaluation: A Snapshot of Malnutrition across India

INTRODUCTION

Data from several sources revealed that huge incongruity persists in nutritional status across the states in India. Thus, this study was undertaken to generate a nutritional index, so that these disparities could be quantified and comparison be done.

MATERIALS AND METHODS

A nutritional index for 21 major states of India has been constructed on the basis of eight important nutrition-related indicators. The scaled value of each indicator for all the states was calculated. Each indicator was assigned an arbitrary weight (Wi) on the basis of its impact on nutritional status. On the basis of the scaled value and weight given to the particular indicator, a composite-weighted index was thus calculated.

RESULTS

States were ranked on their nutritional status as per the final composite score they attained. Out of 21 major states, Kerala took the top position followed by Jammu and Kashmir and Himachal Pradesh on the 2nd and 3rd position, respectively, while Uttar Pradesh got the lowest rank followed by Bihar and Jharkhand on the 2nd and 3rd lowest positions.

CONCLUSION

Our study concludes that not taking an account of the burden of malnutrition when disbursing funds leads to ineffective implementation of various nutritional programs. Integrated Child Development Services has already been brought in mission mode under Poshan Abhiyan. Other determinants, i.e., illiteracy, poor sanitation, diseases, and infections, should also be considered and addressed through nutritional programs.

Is child undernutrition associated with antenatal care attendance in Madhya Pradesh, India?

Context

There is a paucity of research investigating the association between antenatal care (ANC) attendance and child undernutrition in Madhya Pradesh, India.

Aim

To determine whether body weight status in children under the age of 5 years is associated with ANC attendance in Madhya Pradesh.

Methods

A cross-sectional study was carried out using data from India's National Family Health Survey (2005-2006). Bodyweight status (an indicator of undernutrition) was determined using weight-for-age. Descriptive statistics and logistic regression were used to estimate prevalence and obtain adjusted odds ratios (AOR) to investigate associations between ANC indicators and weight-for-age.

Results

Majority of children were underweight (55.1%). ANC attendance was inadequate, with only 36.8% of women having four or more visits. None of the ANC indicators were associated with body weight status. Increased child age especially an age of 2 years (AOR 2.29; 1.66-3.15), belonging to a scheduled tribe [ST] (AOR 2.36; CI 1.64-3.39), scheduled caste [SC] (AOR 1.75; CI 1.25-2.45) or other backward caste [OBC] (AOR 1.43; CI 1.08-1.89) were associated with being underweight; a birth weight of ≥2.5 kg was associated with lower relative odds of being underweight (AOR 0.43; CI 0.29-0.64). Mothers who had a normal BMI (AOR 0.66; CI 0.53-0.82) or were overweight (AOR 0.42; CI 0.25-0.69) were less likely to have underweight children.

Conclusions

ANC attendance was not associated with body weight status. Increased child age, low birth weight, poor maternal nutrition status and belonging to SCs, STs or OBCs increased the odds of child undernutrition.

Socioeconomic inequalities in hidden hunger, undernutrition, and overweight among under-five children in 35 sub-Saharan Africa countries

Background

Many underlying factors are assumed to contribute to the disparities in magnitude of childhood malnutrition. Notwithstanding, socioeconomic inequalities remain key measures to determine chronic and hidden hunger among under-five children. This study was undertaken to explore childhood malnutrition problems that are associated to household wealth-related and mother’s educational attainment in sub-Saharan Africa (SSA).

Methods

Secondary data from birth histories in 35 SSA countries was used. The Demographic and Health Survey (DHS) data of 384,747 births between 2008 and 2017 in 35 countries was analyzed. The outcome variables of interest were mainly indicators of malnutrition: stunting, underweight, wasting, overweight, anemia, and under-five children survival. Household wealth-related and mother’s educational level were the measures of socioeconomic status. Concentration index and Lorenz curves were the main tools used to determine inequalities for nutritional outcomes. The statistical significance level was determined at 5%.

Results

Based on the results, Burundi (54.6%) and Madagascar (48.4%) accounted for the highest prevalence of stunted children. Underweight children were 32.5% in Chad and 35.5% in Niger. Nigeria (16.6%) and Benin (16.4%) had the highest burdens of wasted children. Overall, overweight and under-five survival were significantly more in the higher household wealth, compared with the lower household wealth (Conc. Index = 0.0060; p < 0.001 and Conc. Index = 0.0041; p = 0.002 respectively). Conversely, stunting (Conc. Index = − 0.1032; p < 0.001), underweight (Conc. Index = − 0.1369; p < 0.001), wasting (Conc. Index = − 0.0711; p < 0.001), and anemia (Conc. Index = − 0.0402; p < 0.001) were significantly lower in the higher household wealth status, compared with the lower household wealth groups. Furthermore, under-five children survival was significantly more from mothers with higher educational attainment, compared with children from mothers with lower educational attainment (Conc. Index = 0.0064; p < 0.001). Conversely, stunting (Conc. Index = − 0.0990; p < 0.001), underweight (Conc. Index = − 0.1855; p < 0.001), wasting (Conc. Index = − 0.1657; p < 0.001), overweight (Conc. Index = − 0.0046; p < 0.001), and anemia (Conc. Index = 0.0560; p < 0.001) were significantly more among children from mothers with lower educational attainment. The test for differences between children from urban vs. rural was significant in stunted, underweight, overweight, and anemia for household wealth status. Also, the difference in prevalence between children from urban vs. rural was significant in stunted, underweight, and wasted for mother’s educational attainment.

Conclusion and recommendations

Reduction in malnutrition could be achieved by socioeconomic improvement that is sustained and shared in equity and equality among the populace. Interventions which target improvement in food availability can also help to achieve reduction in hunger including communities where poverty is prevalent.

Characterization of Nutritional, Antinutritional, and Mineral Contents of Thirty-Five Sorghum Varieties Grown in Ethiopia

An experiment was carried out to characterize the proximate compositions and antinutritional and mineral contents of sorghum varieties released for production by the Ethiopian sorghum improvement programme. Sorghum is an extensively researched crop in Ethiopia. However, comprehensive information on nutritional, antinutritional, and mineral content has not been generated. In the present study, thirty-five sorghum varieties released by the national sorghum improvement programme were used and evaluated for their proximate compositions, tannin, and mineral nutrient. AOAC methods of analysis were used for proximate compositions and mineral content together, i.e., whereas for tannin, vanillin-HCL assay methods of analysis were used. Differences between sorghum varieties were significant (P ≤ 0.05) for all measured parameters. Proximate composition values such as moisture, ash, crude fat, crude fiber, crude protein, and CHO varied from 9.66 to 12.94, 1.12 to 2.29, 2.48 to 4.60, 2.17 to 8.59, 8.20 to 16.48, and 67.56 to 76.42, respectively. The highest mineral content of P (367.965), Na (6.151), Mg (207.526), K (314.011), Ca (67.159), Fe (14.018), and Zn (6.484) as measured by mg/100 g was found from the varieties Macia, Abshir, Chiro, Birmash, Dagem, and Assossa-1 (Fe and Zn), respectively. Maximum tannin values of 3337.200 and 2474.7 mg/100 g were obtained from Lalo and Dano, respectively. The varieties such as Miskir, Abshir, ESH-1, Meko-1, Red Swazi, and Karimtams have higher nutritional and mineral and lower antinutritional values among the tested varieties. The abovementioned varieties should be considered for food product development due to their nutritional qualities.

Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts

Variation in human growth and the genetic and environmental factors that are influencing it have been described worldwide. The objective of this study is to assess the geographical variance of under-five nutritional status and its related covariates across Indian districts. We use the most recent fourth round of the Indian National Family Health Survey conducted in 2015–2016, which for the first time offers district level information. We employ principal component analysis (PCA) on the demographic and socio-economic determinants of childhood morbidity and conduct hierarchical clustering analysis to identify geographical patterns in nutritional status at the district level. Our results reveal strong geographical clustering among the districts of India, often crossing state borders. Throughout most of Southern India, children are provided with relatively better conditions for growth and improved nutritional status, as compared to districts in the central, particularly rural parts of India along the so called “tribal belt”. Here is also where girls are on average measured to have less weight and height compared to boys. Looking at average weight, as well as the proportion of children that suffer from underweight and wasting, north-eastern Indian districts offer living conditions more conducive to healthy child development. The geographical clustering of malnutrition, as well as below-average child height and weight coincides with high poverty, low female education, lower BMI among mothers, higher prevalence of both parity 4 + and teenage pregnancies. The present study highlights the importance of combining PCA and cluster analysis in studying variation in under-five child growth and of conducting this analysis at the district level. We identify the geographical areas, where children are under severe risk of undernutrition, stunting and wasting and contribute to formulating policies to improve child nutrition in India.

Contextual Factors and Spatial Patterns of Childhood Malnutrition in Provinces of Burkina Faso

BACKGROUND

Approximately 45% of all children's deaths are associated with malnutrition, and sub-Saharan Africa is hardest hit by this phenomenon. However, information on geographical variations of malnutrition in developing countries is limited. This study examined the geographical distribution and community characteristics associated with child malnutrition in Burkina Faso.

DESIGN

Data from the 2011 Burkina Faso Demographic Health Survey were analyzed. A general Kriging interpolation method was used to generate spatial malnutrition patterns. The global Moran's I test was used to identify significant malnutrition spatial patterns. Generalized estimating equations (GEEs) were fitted to examine the association between community level factors and malnutrition.

RESULTS

Average rates of stunting and wasting in the communities were 32.48% and 15.05%, respectively. Stunting hotspots were observed in the eastern and northeastern parts of Burkina Faso (i.e. Oudolan, Séno and Yagha, among others), while high rates of wasting were observed in the north-central part. The GEE results revealed lower stunting rates in communities with a higher percentage of households with improved sanitation. Communities with higher rates of professionally assisted births were associated with low wasting rates, while communities with higher rates of households with a low wealth index reported higher rates of wasting.

CONCLUSIONS

Spatial statistical models of malnutrition prevalence are useful for indicating hotspots over wide areas and hence, for guiding intervention strategies. This study revealed significant geographical patterns and community factors associated with childhood malnutrition. These factors should be considered in future programs aimed at reducing malnutrition in Burkina Faso.

Development and validation of a food frequency questionnaire for assessing nutrient intake during childhood in Jordan

Introduction

Introduction: assessing the relationship between childhood diseases and nutrient intake is a crucial issue that requires valid and reliable dietary assessment tools in this period of physical and physiological development. Objective: the present study aimed to develop and validate a food frequency questionnaire (FFQ) to assess nutrient intake in Jordanian children. Methods: in this validation study, nutrient intake as obtained from a culturally sensitive quantitative FFQ was compared to nutrient intake as assessed by four 24-hour dietary recalls (24-HRs) between September 2017 and May 2018. One hundred and thirty-six children aged 6-18 years were enrolled from selected schools in Amman, Jordan. Children or their caregivers were asked to complete the FFQ during an initial face-to-face interview. Four 24-HRs were collected weekly over one month. Of these children, 50 also took part in the reproducibility phase, which involved a repeat completion of the FFQ within 1 month. Results: the intraclass correlation coefficients between the two FFQs ranged from 0.5 for trans-fats to 0.96 for calcium. Correlation coefficients between dietary intake estimates derived from the FFQ and 24-HRs were significant at p < 0.05. The highest correlation was detected for energy (0.8) while the lowest was identified for trans-fatty acids (0.04). For all nutrients, over 60 % of participants were classified into the same or adjacent quartile of crude and adjusted intake. Bland-Altman plots showed a satisfactory agreement between the two methods for energy and proteins. Conclusion: the FFQ showed a good reproducibility and a reasonable relative validity for most nutrients.

Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India

We assessed district-level geospatial trends in precision weighted prevalence and absolute wealth disparity in stunting, underweight, wasting, low birthweight, and anemia among children under five in India. The largest wealth disparities were found for anthropometric failures and substantial variation existed across states. We identified statistically significant (p < 0.001) geospatial patterns in district-wide wealth disparities for all outcomes, which differed from geospatial patterns for the overall prevalence. We characterized each district as either a “Disparity”, “Pitfall”, “Intensity”, or “Prosperity” area based on its overall burden and wealth disparity, as well as discuss the importance of considering both measures for geographically-targeted public health interventions to improve health equity.

•

District-wide prevalence and wealth disparity in child malnutrition were assessed.

•

The largest wealth disparities were found for anthropometric failures.

•

Distinct geospatial distribution of wealth disparity was found for different outcomes.

•

The correlation between mean prevalence and wealth disparity was moderate to strong for all outcomes, except anemia.

•

Both measures are needed for geographically targeted public health interventions to improve health equity.

Linkage in stunting status of siblings: a new perspective on childhood undernutrition in India

Almost 30% of the world's stunted children reside in India. This study examined sibling linkage in childhood stunting by assessing the extent of clustering of stunted children born to the same mother. Data were taken from 225,002 children under the age of five from the Indian National Family and Health Survey (NFHS)-4 conducted in 2015-16. States with high fertility and lower socioeconomic development displayed higher clustering of childhood stunting among siblings. Simulating removal of this clustered burden showed an almost 10 percentage point reduction in stunting in India. Multinomial regression analysis highlighted that the propensity to have multiple stunted births was higher among less-educated women, scheduled caste/tribes and poor households. The multilevel model results indicated that the odds of stunting for the index child increased by 1.93 if the older sibling was stunted. The odds of the index child being stunted if the previous child was stunted were high, irrespective of the differences in state-level public health performances and political commitments. Although socioeconomic correlates play a crucial role in determining child stunting status, they also act as proxies for poor-quality intra-generational health. Clustering of stunting among siblings is an indicator of both genetic and environmental association with the height-for-age (HAZ) of children. Mothers with repeated stunted births should be prioritized and monitored over a substantial part of their lives. Inclusion of multiple child beneficiaries in nutrition policies and revisiting the 'one size fits all' concept at the micro level, owing to the substantial village/ward-level variation, might be an effective policy measure.

Prevalence and factors associated with complementary feeding practices among children aged 6-23 months in India: a regional analysis

BACKGROUND

Inappropriate complementary feeding practices significantly contribute to undernutrition among children under 2 years of age in India. However, there is limited up-to-date evidence on the prevalence and factors associated with complementary feeding practices to guide policy actions at the subnational level in India. We investigated the regional prevalence and factors associated with complementary feeding practices in India.

METHODS

This study used a sample of 69,464 maternal responses from the 2015-16 National Family Health Survey in India. The prevalence of complementary feeding indicators was estimated using data for each administrative region, namely: North (n = 8469), South (n = 12,828), East (n = 18,141), West (n = 8940), North-East (n = 2422) and Central (n = 18,664). Factors associated with complementary feeding by region in India were investigated using logistic regression Generalized Linear Latent and Mixed Models (GLLAMM) with a logit link and binomial family that adjusted for clustering and sampling weights.

RESULTS

The study showed a wide variation in the prevalence of introduction of solid, semi-solid or soft foods (complementary foods) among infants aged 6-8 months in regional India; highest in the South (61%) and lowest in the Central and Northern regions (38%). Similarly, minimum dietary diversity (MDD) was highest in the South (33%) and lowest in the Central region (12%). Both minimum meal frequency (MMF) and minimum acceptable diet (MAD) varied substantially across the regions. The factors associated with complementary feeding practices also differed across Indian regions. Significant modifiable factors associated with complementary feeding practices included higher household wealth index for the introduction of complementary foods in the North and Eastern India; higher maternal education for MMF and MDD in the North and Central regions; and frequent antenatal care visits (≥4 visits) for all indicators but for different regions.

CONCLUSION

Our study indicates that there are wide differences in regional prevalence and factors associated with complementary feeding practices in India. The improvement of complementary feeding practices in India would require national and sub-national efforts that target vulnerable mothers, including those with no education and limited health service contacts.

Progress and inequalities in infant and young child feeding practices in India between 2006 and 2016

Limited evidence exists on socio‐economic status (SES) inequalities in infant and young child feeding (IYCF) in India. We examine trends and changes in inequalities for IYCF practices over 2006–2016 and identify factors that may explain differences in IYCF across SES groups. We use data from the 2015–2016 and 2005–2006 National Family Health Surveys (n = 112,133 children < 24 months). We constructed SES quintiles (Q) and assessed inequalities using concentration and slope indices. We applied path analyses to examine the relationship between SES inequalities, intermediate determinants, and IYCF. Breastfeeding improved significantly over 2006–2016: from 23% to 42% for early initiation of breastfeeding (EIBF) and 46% to 55% for exclusive breastfeeding (EBF). Minimum dietary diversity (MDD) improved modestly (15% to 21%), but adequate diet did not change (~9%). Large SES gaps (Q5–Q1) were found for EIBF (8–17%) and EBF (−15% to −10%) in 2006; these gaps closed in 2016. The most inequitable practices in 2006 were MDD and iron‐rich foods (Q5 ~ 2–4 times higher than Q1); these gaps narrowed in 2016, but levels are low across SES groups. Factors along the path from SES inequalities to IYCF practices included health and nutrition services, information access, maternal education, number of children < 5 years, and urban/rural residence. The improvements in breastfeeding and narrowing of equity gaps in IYCF practices in India are significant achievements. However, ensuring the health and well‐being of India's large birth cohort will require more efforts to further improve breastfeeding, and concerted actions to address all aspects of complementary feeding across SES quintiles.

Trends in inequalities in child stunting in South Asia

We analysed socio-economic inequalities in stunting in South Asia and investigated disparities associated with factors at the individual, caregiver, and household levels (poor dietary diversity, low maternal education, and household poverty). We used time-series analysis of data from 55,459 children ages 6-23 months from Demographic and Health Surveys in Bangladesh, India, Nepal, and Pakistan (1991-2014). Logistic regression models, adjusted for age, sex, birth order, and place of residency, examined associations between stunting and multiple types of socio-economic disadvantage. All countries had high stunting rates. Bangladesh and Nepal recorded the largest reductions-2.9 and 4.1 percentage points per year, respectively-compared to 1.3 and 0.6 percentage points in India and Pakistan, respectively. Socio-economic adversity was associated with increased risk of stunting, regardless of disadvantage type. Poor children with inadequate diets and with poorly educated mothers experienced greater risk of stunting. Although stunting rates declined in the most deprived groups, socio-economic differences were largely preserved over time and in some cases worsened, namely, between wealth quintiles. The disproportionate burden of stunting experienced by the most disadvantaged children and the worsening inequalities between socio-economic groups are of concern in countries with substantial stunting burdens. Closing the gap between best and worst performing countries, and between most and least disadvantaged groups within countries, would yield substantial improvements in stunting rates in South Asia. To do so, greater attention needs to be paid to addressing the social, economic, and political drivers of stunting with targeted efforts towards the populations experiencing the greatest disadvantage and child growth faltering.

On selection of an appropriate logistic model to determine the risk factors of childhood stunting in Bangladesh

Stunting is the core measure of child health inequalities as it reveals multiple dimensions of child health and development status. The main focus of this study is to show the procedure of selecting the most appropriate logistic regression model for stunting by developing and comparing several plausible models, which ultimately helps to identify the predictors of childhood stunting in Bangladesh. This study utilizes child anthropometric data collected in the 2014 Bangladesh Demographic and Health Survey. Valid height-for-age anthropometric indices were available for a total of 6,931 children aged 0-59 months, of which about 36% were stunted. Ordinary logistic, survey logistic, marginal logistic, and random intercept logistic regression models were developed assuming independence, sampling design, cluster effect, and hierarchy of the data. Based on a number of model selection criteria, random intercept logistic model is found the most appropriate for the studied children. A number of child, mother, household, regional, and community-level variables were included in the model specification. The factors that increased the odds of stunting are children older than 11 months, short birth interval, recent morbidity of children, lower maternal education, young maternity, lower maternal body mass index, poor household wealth, urban residential place, and living in Sylhet division. Findings of this study recommend to utilize an appropriate logistic model considering the issues relevant to the data, particularly sampling design and clustering for determining the risk factors of childhood stunting in Bangladesh.

Sociodemographic and geographical inequalities in under- and overnutrition among children and mothers in Bangladesh: a spatial modelling approach to a nationally representative survey

OBJECTIVE

To investigate the sociodemographic and geographical variation in under- and overnutrition prevalence among children and mothers.

DESIGN

Data from the 2014 Bangladesh Demographic and Health Survey were analysed. Stunting and wasting for children and BMI<18·5 kg/m2 for mothers were considered as undernutrition; overweight was considered as overnutrition for both children and mothers. We estimated the prevalence and performed simple logistic regression analyses to assess the associations between outcome variables and predictors. Bayesian spatial models were applied to estimate region-level prevalence to identify the regions (districts) prone to under- and overnutrition.Settings/SubjectsChildren aged<5 years and their mothers aged 15-49 years in Bangladesh.

RESULTS

A significant difference (P<0·001) was observed in both under- and overnutrition prevalence between poor and rich. A notable regional variation was also observed in under- and overnutrition prevalence. Stunting prevalence ranged from 20·3 % in Jessore to 56·2 % in Sunamgonj, wasting from 10·6 % in Dhaka to 19·2 % in Bhola, and overweight from 0·8 % in Shariatpur to 2·6 % in Dhaka. Of the sixty-four districts, twelve had prevalence of stunting and thirty-two districts had prevalence of wasting higher than the WHO critical threshold levels. Similarly, fifty-three districts had prevalence of maternal underweight higher than the national level. In contrast, the prevalence of overweight was comparatively high in the industrially equipped metropolitan districts.

CONCLUSIONS

Observed sociodemographic and geographical inequalities imply slow progress in the overall improvement of both under- and overnutrition. Therefore, effective intervention programmes and policies need to be designed urgently targeting the grass-roots level of such regions.

Nutritional status of children ages 0-5 and 5-10 years old in households headed by fisherfolks in the Philippines

Background

The study aimed to analyze the nutritional status of Filipino children ages 0-60 months (0-5.0 years old) and 61-120 months (5.08-10.0 years old) in households headed by fisherfolks.

Methods

The 8th National Nutrition Survey (NNS) data collected by the Food and Nutrition Research Institute, Department of Science and Technology (FNRI-DOST) was used in the study. There were 13,423 young children and 16,398 schoolchildren participants for anthropometry component. The World Health Organization Child Growth Standards (WHO-CGS) was used to assess the nutritional status of the young children while the WHO Growth Reference 2007 was used for schoolchildren. Occupational groups were categorized based on the 1992 Philippine Standard Occupational Classification (PSOC). Descriptive statistics were used for the profiling of the different variables while bivariate analysis, logistic regression and odds ratios were used to correlate the different variables to the nutrition status of the children. Data were analyzed using Stata 12.0.

Results

Results showed that households headed by fisherfolks (HHF) were one of the occupational groups with highest malnutrition among young and school-aged children. The HHF had higher prevalence of malnutrition among young children compared to the overall prevalence of malnutrition among young children in the Philippines, except for overweight. This is also true for schoolchildren, except for wasting. Age of child, sex, household size, age, fishermen and farmer as household head and type of toilet (water-sealed) were correlated to stunting, underweight, overweight and obesity among children.

Conclusions

The high prevalence of stunting, underweight and wasting among young and schoolchildren in this occupational group poses immediate and serious nutrition intervention strategies such as health and nutrition information, health care, sanitation and hygiene, and physical activities. A national policy on the health, nutrition and welfare of households headed by fisherfolks and their children is highly recommended.

Measurement of expressive vocabulary in school-age children: Development and application of the Kilifi Naming Test (KNT)

The dearth of locally developed measures of language makes it difficult to detect language and communication problems among school-age children in sub-Saharan African settings. We sought to describe variability in vocabulary acquisition as an important element of global cognitive functioning. Our primary aims were to establish the psychometric properties of an expressive vocabulary measure, examine sources of variability, and investigate the measure's associations with non-verbal reasoning and educational achievement. The study included 308 boys and girls living in a predominantly rural district in Kenya. The developed measure, the Kilifi Naming Test (KNT), had excellent reliability and acceptable convergent validity. However, concurrent validity was not adequately demonstrated. In the final regression model, significant effects of schooling and area of residence were recorded. Contextual factors should be taken into account in the interpretation of test scores. There is need for future studies to explore the concurrent validity of the KNT further.

On exploring and ranking risk factors of child malnutrition in Bangladesh using multiple classification analysis

Background

Logistic regression analysis is widely used to explore the determinants of child malnutrition status mainly for nominal response variable and non-linear relationship of interval-scale anthropometric measure with nominal-scale predictors. Multiple classification analysis relaxes the linearity assumption and additionally prioritizes the predictors. Main objective of the study is to show how does multiple classification analysis perform like linear and logistic regression analyses for exploring and ranking the determinants of child malnutrition.

Methods

Anthropometric data of under-5 children are extracted from the 2011 Bangladesh Demographic and Health Survey. The analysis is carried out considering several socio-economic, demographic and environmental explanatory variables. The Height-for-age Z-score is used as the anthropometric measure from which malnutrition status (stunting: below -2.0 Z-score) is identified.

Results

The fitted multiple classification analysis models show similar results as linear and logistic models. Children age, birth weight and birth interval; mother's education and nutrition status; household economic status and family size; residential place and regional settings are observed as the significant predictors of both Height-for-age Z-score and stunting. Child, household, and mother level variables have been ranked as the first three significant groups of predictors by multiple classification analysis.

Conclusions

Detecting and ranking the determinants of child malnutrition through Multiple classification analysis might help the policy makers in priority-based decision-making.

Trial registration

"Retrospectively registered".

Relative importance of 13 correlates of child stunting in South Asia: Insights from nationally representative data from Afghanistan, Bangladesh, India, Nepal, and Pakistan

Optimal growth and development in early childhood is determined by a complex interplay of child, maternal, household, environmental, and socioeconomic factors that influence nutritional intake, but interventions to reduce child undernutrition sometimes target specific risk factors in isolation. In this analysis, we assess the relative importance of 13 correlates of child stunting selected based on a collective review of existing multi-factorial frameworks: complementary feeding, breastfeeding, feeding frequency, dietary diversity, maternal height, body mass index (BMI), education, age at marriage, child vaccination, access to improved drinking source and sanitation facilities, household indoor air quality, and household wealth. The analytic sample consisted of nationally representative cross-sectional surveys from the most recent Demographic and Health Surveys for Bangladesh (2014), India (2005), Nepal (2011), and Pakistan (2013), and from the National Nutrition Survey for Afghanistan (2013). In the mutually adjusted logistic regression model for 3,159 infants aged 6-8 months, short maternal stature (OR: 2.93; 95% CI: 1.93-4.46) and lack of complementary foods (OR: 1.47; 95% CI: 1.12-1.93) were associated with significantly higher risk of stunting. For 18,586 children aged 6-23 months, the strongest correlates of child stunting were: maternal height (OR: 3.37, 95% CI: 2.82-4.03), household wealth (OR: 2.25, 95% CI: 1.72-2.94), maternal BMI (OR: 1.59, 95% CI: 1.27-2.00), minimum dietary diversity (OR: 1.48, 95% CI: 1.27-1.72), maternal education (OR: 1.36, 95% CI: 1.18-1.56), and age at marriage (OR: 1.17, 95% CI: 1.05-1.30). Full vaccination and minimum dietary frequency were also found to be important for severe stunting for children of this age group. Some differences were found in the relative ordering and statistical significance of the correlates in country-specific analyses. Our findings indicate that comprehensive strategies incorporating a broader progress on socioeconomic conditions as well as investments in nutrition specific programs are needed to improve child undernutrition in South Asia.

Revisiting the Determinants of Child Anthropometric Indicators in India Using Seemingly Unrelated Regressions Model

This study uses the National Family Health Survey (NFHS-3) data to estimate Seemingly Unrelated Regression (SUR) model for height-for-age (HAZ), weight-for-age (WAZ) and weight-for-height (WHZ) to understand how the determinants of intergenerational transmission, feeding and care practices, and the Integrated Child Development Scheme (ICDS) vary in their impact when these commonly used measures of child nutritional status are considered together in a systems framework. As expected mother’s height, BMI and anaemia levels are all highly important in explaining the variations with large impact of height on HAZ, of BMI on WAZ and of anaemia on WHZ. Initiation of breastfeeding within an hour of child’s birth, exclusive breastfeeding in the first six months and inclusion of protein rich diets for the older children has a large impact on HAZ, and so does access of daily food supplements from the ICDS by rural children. Other predictors such as wealth status, safe water access, sanitation and use of clean cooking fuel by the households are found to be strongly associated with all the indicators. The results from this study strengthen the evidence that though multiple determinants play a role in a child’s growth, the key factors are in the mother to child transmission and in quality of early child care of feeding habits and preventive and curative health care practices.

STATE-LEVEL DIETARY DIVERSITY AS A CONTEXTUAL DETERMINANT OF NUTRITIONAL STATUS OF CHILDREN IN INDIA: A MULTILEVEL APPROACH

This study aimed to identify the determinants of nutritional status of children in India with a special focus on dietary diversity at the state level. Household-level consumption data from three rounds of the Consumer Expenditure Survey of the National Sample Survey Organization (1993-2012) were used. Information on the nutritional status of children was taken from the National Family Health Survey (2005-06). Dietary diversity indices were constructed at the state level to examine diversity in quantity of food consumed and food expenditure. Multilevel regression analysis was applied to examine the association of state-level dietary diversity and other socioeconomic factors with the nutritional status of children. It was observed that significant variation in childhood stunting, wasting and underweight could be explained by community- and state-level factors. The results indicate that dietary diversity has increased in India over time, and that dietary diversity at the state level is significantly associated with the nutritional status of children. Moreover, percentage of households with a regular salaried income in a state, percentage of educated mothers and mothers receiving antenatal care in a community are important factors for improving the nutritional status of children. Diversity in complementary child feeding is another significant determinant of nutritional status of children. The study thus concludes that increasing dietary diversity at the state level is an effective measure to reduce childhood malnutrition in India.