Dataset Information

Assessing inequalities and regional disparities in child nutrition outcomes in India using MANUSH - a more sensitive yardstick.

ABSTRACT:

Background

India is strongly committed to reducing the burden of child malnutrition, which has remained a persistent concern. Findings from recent surveys indicate co-existence of child undernutrition, micronutrient deficiency and overweight/obesity, i.e. the triple burden of malnutrition among children below 5 years. While considerable efforts are being made to address this challenge, and several composite indices are being explored to inform policy actions, the methodology used for creating such indices, i.e., linear averaging, has its limitations. Briefly put, it could mask the uneven improvement across different indicators by discounting the 'lagging' indicators, and hence not incentivising a balanced improvement. Signifying negative implications on policy discourse for improved nutrition. To address this gap, we attempt to develop a composite index for estimating the triple burden of malnutrition in India, using a more sensitive measure, MANUSH.

Methodology

Data from publicly available nation-wide surveys - National Family Health Survey (NFHS) and Comprehensive National Nutrition Survey (CNNS), was used for this study. First, we addressed the robustness of MANUSH method of composite indexing over conventional aggregation methods. Second, using MANUSH scores, we assessed the triple burden of malnutrition at the subnational level over different periods NHFS- 3(2005-06), NFHS-4 (2015-16) and CNNS (2106-18). Using mapping and spatial analysis tools, we assessed neighbourhood dependency and formation of clusters, within and across states.

Result

MANUSH method scores over other aggregation measures that use linear aggregation or geometric mean. It does so by fulfilling additional conditions of Shortfall and Hiatus Sensitivity, implicitly penalising cases where the improvement in worst-off dimension is lesser than the improvement in best-off dimension, or where, even with an overall improvement in the composite index, the gap between different dimensions does not reduce. MANUSH scores helped in revealing the gaps in the improvement of nutrition outcomes among different indicators and, the rising inequalities within and across states and districts in India. Significant clusters (p?ConclusionMANUSH based index emphasises balanced development in nutritional outcomes and is hence relevant for diverse and unevenly developing economy like India.

SUBMITTER: Jain A

PROVIDER: S-EPMC7427294 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Publications

Assessing inequalities and regional disparities in child nutrition outcomes in India using MANUSH - a more sensitive yardstick.

Jain Ayushi A Agnihotri Satish B SB

International journal for equity in health 20200813 1

<h4>Background</h4>India is strongly committed to reducing the burden of child malnutrition, which has remained a persistent concern. Findings from recent surveys indicate co-existence of child undernutrition, micronutrient deficiency and overweight/obesity, i.e. the triple burden of malnutrition among children below 5 years. While considerable efforts are being made to address this challenge, and several composite indices are being explored to inform policy actions, the methodology used for cre ...[more]

PMID: 32792002

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Project description:BackgroundThe persistence of rural-urban disparities in child nutrition outcomes in developing countries alongside rapid urbanisation and increasing incidence of child malnutrition in urban areas raises an important health policy question - whether fundamentally different nutrition policies and interventions are required in rural and urban areas. Addressing this question requires an enhanced understanding of the main drivers of rural-urban disparities in child nutrition outcomes especially for the vulnerable segments of the population. This study applies recently developed statistical methods to quantify the contribution of different socio-economic determinants to rural-urban differences in child nutrition outcomes in two South Asian countries - Bangladesh and Nepal.MethodsUsing DHS data sets for Bangladesh and Nepal, we apply quantile regression-based counterfactual decomposition methods to quantify the contribution of (1) the differences in levels of socio-economic determinants (covariate effects) and (2) the differences in the strength of association between socio-economic determinants and child nutrition outcomes (co-efficient effects) to the observed rural-urban disparities in child HAZ scores. The methodology employed in the study allows the covariate and coefficient effects to vary across entire distribution of child nutrition outcomes. This is particularly useful in providing specific insights into factors influencing rural-urban disparities at the lower tails of child HAZ score distributions. It also helps assess the importance of individual determinants and how they vary across the distribution of HAZ scores.ResultsThere are no fundamental differences in the characteristics that determine child nutrition outcomes in urban and rural areas. Differences in the levels of a limited number of socio-economic characteristics - maternal education, spouse's education and the wealth index (incorporating household asset ownership and access to drinking water and sanitation) contribute a major share of rural-urban disparities in the lowest quantiles of child nutrition outcomes. Differences in the strength of association between socio-economic characteristics and child nutrition outcomes account for less than a quarter of rural-urban disparities at the lower end of the HAZ score distribution.ConclusionsPublic health interventions aimed at overcoming rural-urban disparities in child nutrition outcomes need to focus principally on bridging gaps in socio-economic endowments of rural and urban households and improving the quality of rural infrastructure. Improving child nutrition outcomes in developing countries does not call for fundamentally different approaches to public health interventions in rural and urban areas.

Project description:BackgroundDespite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spatial distribution of SBA across districts of India. Furthermore, the study tries to understand the spatially associated population characteristics that influence the low coverage of SBA across districts of India and its regions.MethodsThe study used national representative cross-sectional survey data obtained from the fourth round of National Family Health Survey, conducted in 2015-16. The effective sample size was 259,469 for the analysis. Moran's I statistics and bivariate Local Indicator for Spatial Association maps were used to understand spatial dependence and clustering of deliveries conducted by SBA coverage in districts of India. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of deliveries conducted by SBA.ResultsMoran's I value for SBA among women was 0.54, which represents a high spatial auto-correlation of deliveries conducted by SBA over 640 districts of India. There were 145 hotspots for deliveries conducted by SBA among women in India, which includes almost the entire southern part of India. The spatial error model revealed that with a 10% increase in exposure to mass media in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Interestingly, also with the 10% increase in the four or more antenatal care (ANC) in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Again, if there was a 10% increase of women with first birth order in a particular district, then the deliveries conducted by SBA significantly increased by 6.1%. If the district experienced an increase of 10% household as female-headed, then the deliveries conducted by SBA significantly increased by 1.4%.ConclusionThe present study highlights the important role of ANC visits, mass media exposure, education, female household headship that augment the use of an SBA for delivery. Attention should be given in promoting regular ANC visits and strengthening women's education.

Project description:Abstract Objectives Little is known about how level of participation affects nutrition outcomes in rural interventions. This study examined the association between participation level in a nutrition-sensitive agriculture intervention (NSA) and children's diet and anthropometric outcomes. Methods The Nutrition Links was a 2016–17 cluster RCT (clinicaltrials.gov NCT01985243) which enrolled caregivers with children < 18 mo in rural Ghana. Women in the intervention communities self-selected to receive poultry layers for egg production as part of a loan package, garden inputs, and nutrition education. Weekly meetings were used for education, for the staff to document egg production, and for the women to repay their loan and purchase feed. After endline, project participation was evaluated with a summative score that reflected 5 criteria: 1) egg productivity 2) timely and complete payment for feed and loan 3) meeting attendance 4) answering questions and making comments during the meetings and 5) attentiveness and helpfulness with the group. The field staff evaluated all criteria – from 1 (very poor) to 5 (excellent) – for each intervention woman who received poultry. Their participation was classified as high, medium, or low, based on tertiles. The participation of intervention women who never received poultry was ‘none’. Logistic and linear regressions tested the likelihood of consuming eggs and having a minimum diverse diet (MDD) and changes in anthropometric indices for the participation levels compared to those of the controls, who received standard-of-care services. Results In comparison to the control group, only a high participation level was significant for having a MDD (aOR  = 3.1, 95% CI [1.1, 8.8]). Both medium and high participation levels were associated with an increased likelihood in egg consumption (aOR = 2.1, 95% CI [1.0, 4.1]; aOR = 2.7, 95% CI [1.3, 5.4]), and length‐for‐age (LAZ)/height‐for‐age (HAZ) z‐scores (β = 0.4, 95% CI [0.2, 0.6]; β = 0.4, 95% CI [0.2, 0.7]), and weight‐for‐age (WAZ) (β = 0.2, 95% CI [0.0, 0.4]; β = 0.2, 95% CI [0.0, 0.5]), respectively. Conclusions These results show the potential effect of NSA interventions and highlight the importance of facilitating high participation of beneficiaries. Funding Sources Global Affairs Canada, Heifer International, World Vision, McGill University, International Development Research Centre.

Project description:BackgroundNutrition outcomes among young children in Nigeria are among the worse globally. Mother's limited knowledge about food choices, feeding, and health care seeking practices contributes significantly to negative nutrition outcomes for children in most developing countries. Much less is known about the relationship between mother's nutrition-related knowledge and child nutritional outcomes in rural Nigeria. This paper investigates therefore: (i) the association of mother's nutrition-related knowledge with nutrition outcomes of young children living in rural Nigeria, where access to education is limited, and (ii) whether mother's education has a complementary effect on such knowledge in producing positive child nutrition outcomes in such settings.MethodsUsing the Demographic and Health Survey data for Nigeria, we employ both descriptive and regression analyses approaches in analyzing the study's objectives. In particular, we apply ordinary least square (OLS) to investigate the association of mother's nutrition-related knowledge with child HAZ and WHZ while controlling for maternal, child, household and regional characteristics. An index was constructed for mother's nutrition-related knowledge using information on dietary practices, disease treatment and prevention, child immunization, and family planning.ResultsWe found that mother's knowledge is independently and positively associated with HAZ and WHZ scores in young children. Higher levels of mother's education, typically above primary, have a significant, positive association with child HAZ and WHZ scores. We argue that mother's knowledge of health and nutrition may substitute for education in reducing undernutrition in young children among populations with limited access to formal education. However, the present level of mother's education in rural Nigeria appears insufficient to reinforce knowledge in producing better nutrition outcomes for children.ConclusionsThis study suggests promotion of out-of-school (informal) education, such as adult literacy and numeracy classes where women without formal education can gain health and nutrition knowledge, and practices that could enhance child nutrition outcomes in Nigeria.

Project description:The role of agriculture in reducing undernutrition is widely recognized, yet there is also consensus on the need to make the sector nutrition-sensitive. Evidence on the impact pathways from nutrition-sensitive agriculture (NSA) interventions, agricultural interventions with specific nutrition objectives, and actions detailing each temporal stage to reach nutrition outcomes is limited, however. We thus synthesized study results regarding impact of NSA interventions on nutrition outcomes relating to undernutrition, and constructed an impact pathway by mapping the evidence on each temporal stage from interventions to nutrition outcomes. We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses to conduct and report our systematic review of studies on NSA interventions implemented in low- and lower-middle-income countries. Forty-three studies that met the inclusion criteria were extracted and synthesized across impact and pathways analyses. We carried out a thematic analysis of the effect of NSA interventions using evidence-based indicators and constructed the pathways by adopting a published framework on agriculture to nutrition pathways. Our findings reveal that NSA interventions can significantly improve dietary practices, and have the potential to enhance care practices and reduce occurrence of diseases, indicating their effectiveness in simultaneously addressing multiple determinants of undernutrition. However, NSA interventions have a lesser impact on nutritional status. NSA interventions lead to nutrition outcomes through 5 key pathways: food production, nutrition-related knowledge, agricultural income, women's empowerment, and strengthening of local institutions. We emphasize the need to carefully design, implement, and evaluate interventions with consideration for factors affecting impact pathways. Future research should focus on the effect of interventions combining multisector components, and pathways through non-food-production-related income, women's empowerment, strengthening of local institutions, food prices at intervention level, and expenditure on health care.

Dataset Information

Assessing inequalities and regional disparities in child nutrition outcomes in India using MANUSH - a more sensitive yardstick.

Background

Methodology

Result

Publications

Assessing inequalities and regional disparities in child nutrition outcomes in India using MANUSH - a more sensitive yardstick.

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