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

Prevalence and Correlates of Anthropometric Failure Among Children Aged 0-23 Months in India: Evidence from a Nationally Representative Cross-Sectional Survey (2019-2021)

The present study assesses the burden of anthropometric failure in Indian children aged 0-23 months using the Composite Index of Anthropometric Failure (CIAF). It additionally explores socio-economic, maternal, and child-specific determinants. Analyzing NFHS-5 (2019-2021) data, results show that 48% (95% CI: 47.6%, 48.3%) of children face at least one form of anthropometric failure, with stunting being the most prevalent. Children with low birth weight (AOR: 1.67, 95% CI: 1.60, 1.74), those born to undernourished mothers (AOR: 1.41, 95% CI: 1.36, 1.47), children from lower wealth quintiles (AOR: 1.76, 95% CI: 1.64, 1.88), and those who reportedly lack a minimum acceptable diet (AOR: 1.10, 95% CI: 1.01, 1.22) exhibited a higher prevalence of anthropometric failure. Addressing undernutrition necessitates multifaceted interventions targeting these determinants to improve child nutrition outcomes.

Co-Occurrences of Forms of Child Undernutrition in India: Insights from the National Family Health Survey

Background: The composite index of anthropometric failure (CIAF) studies co-occurrences of three forms of child undernutrition: stunting (S), wasting (W), and underweight (U). This study attempts to modify it through the inclusion of a fourth form of undernutrition, that is, anaemia (A), serving as a proxy for micronutrient deficiencies among under-five children in India. Methods: Spatial and multivariate analyses were employed to analyse the co-occurrences of child undernutrition with reference to the child's and mother's characteristics using National Family Health Survey (NFHS) data. Results: The modified index of "CIAF + Anaemia" identified thirteen manifestations of child undernutrition in India, the most prevalent co-occurrence being "only anaemia" (30%), followed by a triple burden or co-occurrence of stunting, underweight, and anaemia (SUA) (12%). The prevalence of the quadruple burden of child undernutrition (SWUA) was found to be highest in the states of Jharkhand and Gujarat (7%). A higher likelihood of the co-occurrence of "SUA" was observed among underweight mothers (16%), whereas that of "only anaemia" was observed more among overweight mothers (35%) compared to their counterparts. The co-occurrences "SUA" and "SWUA" were found to be moderately clustered among the districts of India. Conclusions: Overall, the study reinforces the need for early identification and specialised treatment approaches for children burdened with multiple forms of undernutrition to prevent its scarring effect.

Exploring under-five child malnutrition in Bangladesh: analysis using the Extended Composite Index of Anthropometric Failure (ECIAF)

OBJECTIVE

The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF).

DESIGN

Data from the Bangladesh Demographic and Health Survey 2017-2018 were analysed. Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrition. Geospatial analysis was conducted using R programming.

SETTING

Bangladesh.

PARTICIPANTS

Children under 5 years of age.

RESULTS

In Bangladesh, as indicated by the ECIAF, approximately 40·8 % (95 % CI: 39·7, 41·9) of children under five experience malnutrition, whereas about 3·3 % (95 % CI: 2·9, 3·7) were overweight. Children of parents with no formal education (56·3 %, 95 % CI: 50·8, 61·8), underweight mothers (53·4 %, 95 % CI: 50·4, 56·3), belonging to the lowest socio-economic strata (50·6 %, 95 % CI: 48·3, 53·0), residing in rural areas (43·3 %, 95 % CI: 41·9, 44·6) and aged below 3 years (47·7 %, 95 % CI: 45·2, 50·2) demonstrated a greater age- and sex-adjusted prevalence of malnutrition. The Sylhet division (Eastern region) exhibited a higher prevalence of malnutrition (> 55·0 %). Mothers with no formal education (adjusted OR (AOR): 1·51, 95 % CI: 1·08, 2·10), underweight mother (AOR: 1·54, 95 % CI: 1·03, 1·83), poorest socio-economic status (AOR: 2·14, 95 % CI: 1·64, 2·81), children aged 24-35 months (AOR: 2·37, 95 % CI: 1·97, 2·85) and fourth and above birth order children (AOR: 1·41, 95 % CI: 1·16, 1·72) were identified key factors associated with childhood malnutrition while adjusting community- and household-level variations.

CONCLUSIONS

In Bangladesh, two out of five children were malnourished, and one in thirty-five children was overweight. Continuous monitoring of the ECIAF over time would facilitate tracking changes in the prevalence of different forms of malnutrition, helping to plan interventions and assess the effectiveness of interventions aimed at addressing both undernutrition and overweight.

A multilevel analysis of factors associated with wasting in children one to two years old in Hamadan city

The study aimed to identify risk factors for childhood wasting in 1-2 year-olds in Hamadan city, focusing on this age group due to infection and malnutrition risks. Unlike previous cross-sectional studies on children under 5 years old, this longitudinal study tracked weight-to-height changes over time. Data were analyzed from 455 mother-child pairs, aged 1-2 years, collected from health centers and recorded in the Integrated Electronic Health System (SIB). The weight-for-height index, an ordinal response with three categories (wasting, normal, and overweight), was measured several times. A two-level longitudinal ordinal model was used to identify factors associated with wasting. The analysis of data from 230 girls and 225 boys identified several factors associated with wasting: lower birth weight (Adjusted Odds Ratio (AOR) = 0.77), age 12-15 months (AOR = 1.15), lack of health insurance (AOR = 3.09), mother-child residence (AOR = 3.80), maternal height (AOR = 0.92), and age at pregnancy < 24 years (AOR = 4.71). The results of this study showed that most of the factors contributing to childhood wasting can be controlled and prevented. Therefore, implementation of targeted policies and appropriate interventions for mothers before, during, and after pregnancy could reduce the burden of childhood wasting.

Prevalence and associated factors of impaired kidney functions among children and adolescents in India: insights from the Comprehensive National Nutrition Survey (CNNS) 2016-18

BACKGROUND

Chronic kidney disease (CKD) is a significant public health problem. The burden of CKD in children and adolescents in India is not well described. We used data from the recent Comprehensive National Nutrition Survey (CNNS) to estimate the prevalence of impaired kidney function (IKF) and its determinants in children and adolescents between the ages of 5 and 19.

METHODS

CNNS 2016-18 adopted a multi-stage sampling design using probability proportional to size sampling procedure after geographical stratification of urban and rural areas. Serum creatinine was tested once in 24,690 children and adolescents aged 5-19 years. The estimated glomerular filtration rate (eGFR) was derived using the revised Schwartz equation. The eGFR value below 60 ml/min/1.73 m2 is defined as IKF. Bivariate analysis was done to depict the weighted prevalence, and multivariable logistic regression examined the predictors of IKF.

RESULTS

The mean eGFR in the study population was 113.3 + 41.4 mL/min/1.73 m2. The overall prevalence of IKF was 4.9%. The prevalence in the 5-9, 10-14, and 15-19 year age groups was 5.6%, 3.4% and 5.2%, respectively. Regression analysis showed age, rural residence, non-reserved social caste, less educated mothers, Islam religion, children with severe stunting or being overweight/obese, and residence in Southern India to be predictors of IKF.

CONCLUSIONS

The prevalence of IKF among children and adolescents in India is high compared to available global estimates. In the absence of repeated eGFR-based estimates, these nationally representative estimates are intriguing and call for further assessment of socio-demographic disparities, genetics, and risk behaviours to have better clinical insights and public health preparedness.

Comparison of Nutritional Status of Healthy Under-Five Indian Children Using Composite Index of Anthropometric Failure on WHO 2006 versus 2019 Indian Synthetic Growth Charts

OBJECTIVES

To assess nutritional status of apparently-healthy under-five Indian children using Composite Index of Anthropometric Failure (CIAF) and to compare anthropometric failure prevalence using conventional indices and CIAF on World Health Organization (WHO) vs. synthetic Indian growth charts.

METHODS

This observational study was conducted over 2 y. The inclusion criteria was apparently-healthy children (0-60 mo) and the exclusion criteria were acute/chronic illness and small for gestational age.

RESULTS

A total of 1557 children (762 girls) were included in the study. The mean age of the subjects was 21 mo. The Z-scores for height, weight, body mass index (BMI) for age and weight for height in children were lower on WHO vs. synthetic charts (p = 0.0001). Significantly higher proportion of children were moderately and severely underweight, stunted and wasted on WHO charts. Synthetic charts identified significantly higher proportion as normal for weight, height, BMI for age, weight for height, overweight (overall), and a higher prevalence of severe stunting, and severe acute malnutrition (SAM) was noted among girls compared to boys. Using CIAF, 54.1% children were normal on WHO charts vs. 78.0% on synthetic (p = 0.0001). Larger proportion of girls (8.8%) were stunted+underweight (category-E) vs. boys (4.3%) on synthetic charts (p = 0.0003). Significantly higher proportion of children demonstrated failure (single/dual/multiple) on WHO charts except category-Y (higher proportion of underweight on synthetic charts). Maximum difference in CIAF (WHO vs. synthetic) was observed between 0-24 mo age. Of 1215 children normal on synthetic charts, 837 (68.9%) were normal on WHO charts. Of 116 underweight children (category-Y) on synthetic charts, 20 (17.2%) were underweight on WHO charts; remaining had compound failure (wasting+underweight = 49.1%, wasting+stunting+underweight = 14.7%, stunting+underweight = 12.1%) on WHO charts. Among those stunted+underweight (category-E) on synthetic charts, WHO charts classified 1/4th as wasted+stunted+underweight (category-D).

CONCLUSIONS

Synthetic references are more representative of Indian growth patterns, and seem more appropriate for monitoring growth of Indian children to avoid mislabelling as malnourished.

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.

Socioeconomic disparities in Rwanda's under-5 population's growth tracking and nutrition promotion: findings from the 2019-2020 demographic and health survey

BACKGROUND

Regular growth monitoring can be used to evaluate young children's nutritional and physical health. While adequate evaluation of the scope and quality of nutrition interventions is necessary to increase their effectiveness, there is little research on growth monitoring coverage measurement. The purpose of this study was to investigate socioeconomic disparities in under-5 Rwandan children who participate in growth monitoring and nutrition promotion.

METHODS

We used data from the 2019-2020 Rwanda Demographic and Health Survey (RDHS), which included 8092under-5 children. Percentage was employed in univariate analysis. To examine the socioeconomic inequalities, concentration indices and Lorenz curves were used in growth monitoring and nutrition promotion among under-5 children.

RESULTS

A weighted prevalence of 33.0% (95%CI: 30.6-35.6%) under-5 children growth monitoring and nutrition promotion was estimated. Growth monitoring and nutrition promotion among under-5 children had higher uptake in the most disadvantaged cohort, as the line of equality sags below the diagonal line in Lorenz curve. Overall, there was pro-poor growth monitoring and nutrition promotion among under-5 in Rwanda (Conc. Index = 0.0994; SE = 0.0111). Across the levels of child and mother's characteristics, the results show higher coverage of under-5 growth monitoring and nutrition promotion in the most socioeconomic disadvantaged cohort.

CONCLUSION

The study found a pro-poor disparity in growth monitoring and nutrition promotion among under-5 children in Rwanda. By implication, the most disadvantaged children had a higher uptake of growth monitoring and nutrition promotion. The Rwanda government should develop policies and programmes to achieve the universal health coverage for the well-off and underserved population.

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.

Assessment of undernutrition using the composite index of anthropometric failure (CIAF) and its determinants: A cross-sectional study in the rural area of the Bogor District in Indonesia

Background

The Composite Index of Anthropometric Failure (CIAF) can comprehensively identify undernutrition by combining several indicators of nutritional status – namely, weight-for-age, length/height-for-age and weight-for-length/height – to determine the nutritional status of children under five years of age. This study aims to assess undernutrition using the CIAF and its determinants on children under five years of age in the Bogor District, Indonesia.

Methods

A cross-sectional study was conducted during February–May 2019 among 330 mother-children pairs (with children under five), selected by systematic random sampling from four villages as undernutrition pockets in the rural area of Bogor District, Indonesia. The nutritional status of the children was assessed by measuring weight and length/height. Z-score was calculated using WHO Anthro software and was categorized based on conventional indices, including weight-for-age (WAZ), length/height-for-age (HAZ) and weight-for-length/height (WHZ). The CIAF is measured based on a combination of conventional index measurements. In addition, mothers’ and childrens’ characteristics and clean living behaviour are assessed via structured questionnaires. Environmental sanitation is assessed using the environment meter. Binary logistic regression analysis with SPSS version 22.0 is used to analyse the dominant factors associated with undernutrition.

Results

Among children under five, 42.1% experienced anthropometric failure (overall prevalence of undernutrition based on the CIAF), 2.4% experienced wasting only, 5.8% were classified as both wasting and underweight, 2.1% as wasting, underweight and stunting, 16.4% as underweight and stunting, 11.5% as stunting only, and 3.9% as underweight only. Assessment of nutritional status using a conventional anthropometric index shows that respective prevalences of underweight, stunted and wasted were 27.8, 29.7, and 10.6%. The mother’s height is the most dominant factor associated with anthropometric failure [p = 0.008; AOR = 1.95; 95% CI: 2.19–3.19]. The most dominant factors associated with the conventional undernutrition indices of underweight, stunted and wasted are, respectively, family income [p = 0.018; AOR = 5.44; 95% CI: 1.34–22.11], mother’s height [p = < 0.001; AOR = 3.29; 95% CI:1.83–5.91] and child’s age [p = 0.013; AOR = 2.59; 95% CI: 1.22–5.47].

Conclusion

Nearly half of children under five experience anthropometric failure. Specific nutrition improvement interventions and specific nutrition interventions during pregnancy and lactation are needed, especially for malnourished mothers, to prevent malnutrition in infant.

Incidence of Asymptomatic Shigella Infection and Association with the Composite Index of Anthropometric Failure among Children Aged 1–24 Months in Low-Resource Settings

Asymptomatic or subclinical infection by diarrheal enteropathogens during childhood has been linked to poor health and nutritional outcomes. In this study, we aimed to assess the impact of asymptomatic Shigella infection on different forms of childhood malnutrition including the composite index of anthropometric failure (CIAF). We used data from 1715 children enrolled in the multi-country birth cohort study, MAL-ED, from November 2009 to February 2012. Monthly non-diarrheal stools were collected and assessed using TaqMan Array Cards (TAC). Poisson regression was used to calculate incidence rates of asymptomatic Shigella infection. Generalized estimating equations (GEE) were used to assess the association between asymptomatic Shigella infection and nutritional indicators after adjusting for relevant covariates. Incidence rates per 100 child-months were higher in Tanzania, Bangladesh and Peru. Overall, after adjusting for relevant covariates, asymptomatic Shigella infection was significantly associated with stunting (aOR 1.60; 95% CI: 1.50, 1.70), wasting (aOR 1.26; 95% CI: 1.09, 1.46), underweight (aOR 1.45; 95% CI: 1.35, 1.56), and CIAF (aOR 1.55; 95% CI: 1.46, 1.65) in all the study sites except for Brazil. The high incidence rates of asymptomatic Shigella infection underscore the immediate need for Shigella vaccines to avert the long-term sequelae involving childhood growth.