Effect of pranayama on perceived stress, well-being and quality of life of frontline healthcare professionals on COVID-19 duty: A quasi-randomised clinical trial.

Healthcare professionals (HCPs) had to perform their duties under extremely trying circumstances during the COVID-19 pandemic. High expectations further increased HCP's stress, which had an adverse impact on their mental health. The present quasi-randomised clinical trial examined how a specially designed pranayama regimen practised for 4 weeks affected the mental health of frontline, exposed HCPs in terms of perceived stress, wellness and quality of life. A total of 280 frontline HCPs on COVID-19 duties in five public hospitals of Delhi, India participated in this study. The intervention (n = 123) and control (n = 127) groups were alternately allocated. Data on perceived, self-reported mental health of HCPs were collected at baseline and post-test at the end-line (after 28 days of practice). We report that the intervention group (n = 123) had a substantial lower perceived stress at post-test at the end-line in comparison to the control group (n = 127, p-value: .028). Their overall WHO Quality-of-Life score also improved, of which the score on psychological domain increased significantly (p-value: .019). Accordingly, we conclude that a 28-day practice of the pranayama by the frontline HCPs in COVID-19 hospitals significantly decreased their level of perceived stress and enhanced their psychological quality of life.

Catastrophic impact of 1947 partition of India on people's health.

Introduction: The partition of India on the dissolution of British Raj into two dominions is known to have been violent, polarizing and caused large-scale loss of life (about two million) and an unprecedented migration of 14 million people between the two dominions, India and Pakistan. It is not known how well the then scientific community covered this man-made disaster, and the response of the international community with aid. Methodology: A systematic review was conducted using different electronic databases of PubMed, Econlit, United Nations resolutions, Government of India websites, and Google Scholar for the period January 1947 to December 1951 on the impact of the partition of the Indian sub-continent, and to identify the international response toward this humanitarian crisis. Result: We could locate only twenty-four publications. Partition not only caused monumental humanitarian suffering, but also contributed to food deficits, adverse impact on trade and industries, national income and harmed public health. In contrast, no significant attention was expressed by the international scientific community or the United Nations, or aid provided during this catastrophic event. Conclusion: The review demonstrates the apathy by the contemporary international scientific research community on the social as well as economic damage caused by the partition of India. We suggest that the international scientific and research community should play the role of vigilante and fact finder to unearth the facets of mass human tragedy and its long-term consequences so that global consciousness is awakened, and help and aid flows when it is most needed.

Viewpoints from the National Consultation on Addressing Acute Malnutrition on Mainstreaming Community-Based Program for Management of Acute Malnutrition in India.

High burden of acute malnutrition among children less than 5 years is a major public health problem in India. A "Two-days National Consultation on Addressing Acute Malnutrition" was organized to gather experiences and evidence from 13 states of India on prevention and management of acute malnutrition among children and documenting viewpoints from experts and government counterparts on the same. The consultation centered around five key themes of addressing acute malnutrition; 1) capacity building, 2) strengthening screening, 3) nutritional care of wasting, 4) tracking progress, and 5) scale-up. The paper highlights the experiences and key recommendations around the above key themes. It emerged that there is a need to further accelerate the efforts toward strengthening existing platforms and services to address acute malnutrition among children. Regular trainings of the frontline workers, increased convergence, regular monitoring, and continued service delivery during the pandemic should be undertaken for better outcomes.

Healthcare providers perceptions regarding the presence of Birth Companion during childbirth at a tertiary care hospital in India.

BACKGROUND: Despite an increase in institutional births and a fall in maternal mortality, the satisfaction of women with their birthing experience in public health institutions is low. Birth Companion (BC) is an important part of the Labour Room Quality Improvement Initiative introduced by the Government of India in 2017. Despite mandates, its implementation has been unsatisfactory. Little is known about the perception of healthcare providers about BC. METHODS: We conducted a facility-based, cross-sectional quantitative study with doctors and nurses in a tertiary care hospital in Delhi, India to gauge their awareness, perception and knowledge about BC. Following universal total population sampling, the participants were administered a questionnaire, which was completed by 96 of 115 serving doctors (response rate of 83%), and 55 of 105 serving nurses (response rate of 52%). RESULTS: Most (93%) healthcare providers were aware of the concept of BC, WHO's recommendation (83%) and Government's instructions (68%) on BC during labour. A woman's mother was the BC of choice (70%) closely followed by her husband (69%). Ninety-five percent of providers agreed that the presence of a BC during labour will be beneficial, in providing emotional support, boosting the woman's confidence, providing comfort measures, helping in the early initiation of breastfeeding, reducing post-partum depression, humanizing labour, reducing the need for analgesia and increasing chances of spontaneous vaginal births. Yet, support for the introduction of BC in their hospital was low due to institutional barriers like overcrowding, lack of privacy, hospital policy, risk of infection; privacy issues and costs. CONCLUSIONS: Widespread adoption of the concept of BC would require, besides directives, a buy-in by the providers, and action on their suggestions. These include greater funding for hospitals, creating physical partitions to ensure privacy, sensitization and training of health providers and BC, incentivizing hospitals and birthing women, formulation of guidelines on BC, standards setting and a change in institutional culture.

COVID-19 vaccination in pregnancy: Need for global pharmaco-vigilance.

Coronavirus infectious disease has been around for more than 2 years as a pandemic, but now appears to have taken the form of an endemic. COVID-19 vaccination in pregnant women is presently being recommended and followed in most countries. However, robust scientific evidence on safety of the vaccine in the medium or long term, or regarding any adverse effects, is lacking. We searched the PubMed and gray literature for evidence on medium- or long-term effects of COVID-19 vaccination during pregnancy on the mother or her fetus/newborn and found limited data on this subject. Moreover, available evidence comes almost exclusively from the Western world. Any adverse effects of COVID-19 vaccination during or after pregnancy may take time to manifest. Therefore, there is a need to keep the cohort of vaccinated women and their children under scrutiny for any possible adverse effects. This is also needed to build confidence in the long term in the vaccines. A global pharmaco-vigilance or post-marketing surveillance network covering pregnant recipients of COVID-19 vaccines can identify and help to address any medium- or long-term adverse effects of the COVID-19 vaccines on pregnancy and the newborn.

Efficacy of pranayama in preventing COVID-19 in exposed healthcare professionals: A quasi-randomized clinical trial.

BACKGROUND: The global outbreak of COVID-19 has created a challenging situation, especially for the frontline Health Care Professionals (HCPs), who are routinely exposed and thus are at a higher risk of infection. Pranayama, a component of Yoga, is known to improve immune function and reduce infection. However, no clinical trial on the efficacy of Pranayama in preventing COVID-19 has yet been conducted. AIM AND OBJECTIVE: This quasi-randomized clinical trial assessed the efficacy of Pranayama in preventing COVID-19 infection in HCPs routinely exposed to COVID-19. METHODOLOGY: The study was conducted at 5 different COVID-19 hospitals, India in year 2020. The inclusion criteria were being an HCP exposed to COVID-19 patients and being negative on antibody tests. 280 HCPs were recruited sequential and assigned to intervention and control groups. Of these, 250 HCPs completed the study. The intervention was twice daily practice, for 28 days, of specially designed Pranayama modules under the online supervision of Yoga instructors. The HCPs in the control group were advised to continue their normal daily routine, but no pranayama sessions. Participants who developed symptoms suggestive of COVID-19 were subjected to Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) or Point of Care Rapid Antigen Test (RAT) for confirmation of the diagnosis. All the participants were tested for antibodies to COVID-19 on 28th day of the intervention to detect any asymptomatic infection. RESULTS: The intervention (123) and control (127) groups had comparable demographics and baseline characteristics. At end of 28 days of intervention, nine participants in the control group and one in the intervention group developed COVID-19 (P-value: 0.01, Odds Ratio: 0.107, 95% CI: 0.86; Risk Ratio: 0.11, 95% CI: 0.89). CONCLUSION: The intervention of twice daily practice of the Pranayama module for 28 days in HCPs might have made a noteworthy contribution and may have helped in preventing COVID-19 infection.

Dietary diversity as a sustainable approach towards micronutrient deficiencies in India.

The silent epidemic of micronutrient deficiencies (MNDs) continues to be a major public health challenge in the developing world, including India. The prevalence of iron, iodine, zinc, vitamin A and folate deficiencies is alarmingly high worldwide. India is additionally facing a high prevalence of vitamin D and B12 deficiencies. To combat the hidden epidemic of MNDs, various governments around the world have mostly relied on supplementation or fortification-based interventions. India launched salt iodization programme in 1962 and vitamin A and iron-folate supplementation programmes in 1970. Yet, even after decades of these programmes, MNDs are still widespread in the country. Due to slow progress in alleviating the burden of most MNDs, the Government of India aims to scale up fortification-based intervention programmes. However, there are safety and effectiveness concerns with such approaches. Hence, overdependence on supplementation and fortification alone may be counterproductive. Instead, food based dietary diversification approach can be the way forward. In this article, we list the common MNDs in India, evaluate major policy interventions, discuss concerns pertaining to fortification and suggest the need for a concurrent food-based approach, in particular dietary diversification, as a long-term and sustainable strategy to address population-based MNDs.

Closing human resources gap in health: Moving beyond production to proactive recruitments.

Human Resources for Health (HRH) plays an integral role in healthcare service delivery. Gap in HRH has been a major concern with our healthcare ecosystem for a long time. It is vital to have adequately staffed public healthcare facilities, which are freely accessible to the population. To understand the reasons, we looked at the production, availability, and vacancies of HRH existing in public sector as well as measures taken for closing HRH gap during the period 2014-2015 to 2019-2020 and best practices adopted by the some of the State/UTs. We relied on official websites and official reports/statistics. While teaching capacity has increased significantly in recent past, and there are sufficient numbers of registered HRH, it has not translated into the recruitment of HRH in public facilities. Measures like campus placement, assured career progression, efficient and transparent recruitment process, modern and responsive HR management system, financial and non-financial incentives and notification of the vacant posts can play a vital role in filling the existing gaps. Some of the states have taken proactive measures for filling the vacancies, which can be replicated. The vacancies need to be filled in a mission mode. States also need to sanction required posts as per the norms. The ratio between different categories of healhtcare staff should be taken into consideration while sanctioning posts for these cadres. Availability of HRH in public sector as per norms would contribute toward achieving Sustainable Development Goal-3, reducing out of pocket expenditure and bring enormous socioeconomic gains.

Components of Out-of-Pocket Expenditure and Their Relative Contribution to Economic Burden of Diseases in India.

Importance: High out-of-pocket expenditure (OOPE) on health in India may limit achieving universal health coverage. A clear insight on the components of health expenditure may be necessary to make allocative decisions to reduce OOPE, and such details by sociodemographic group and state have not been studied in India. Objective: To analyze the relative contribution of drugs, diagnostic tests, doctor and surgeon fees, and expenditure on other medical services and nonmedical health-related services, such as transport, lodging, and food, by sociodemographic characteristics of patients, geography, and type of illness. Design, Setting, and Participants: A population-based cross-sectional health consumption survey conducted by the National Sample Survey Organisation in 2018 was analyzed in this cross-sectional study. Respondents who provided complete information on costs of medicine, doctors, diagnostics tests, other medical costs, and nonmedical costs were selected. Data were analyzed from August through September 2021. Main Outcomes and Measures: Mean and median share of components (ie, medicine, diagnostic tests, doctor fees, other medical costs, and nonmedical costs) in total health care expenditure and income were calculated. Bivariate survey-weighted mean (with 95% CI) and median (IQR) expenditures were calculated for each component across sociodemographic characteristics. The proportion of total expenditure and income contributed by each cost was calculated for each individual. Mean and median were then used to summarize such proportions at the population level. The association between state net domestic product per capita and component share of each health care service was graphically explored. Results: Health expenditure details were analyzed for 43 781 individuals for inpatient costs (27 272 [64.3%] women; 26 830 individuals aged 25-64 years [59.9%]) and 8914 individuals for outpatient costs (4176 [48.2%] women; 4901 individuals aged 25-64 years [54.2%]); most individuals were rural residents (24 106 inpatients [67.0]; 4591 outpatients [63.9%]). Medicines accounted for a mean of 29.1% (95% CI, 28.9%-29.2%) of OOPE among inpatients and 60.3% (95% CI, 59.7%-60.9%) of OOPE among outpatients. Doctor consultation charges were a mean of 15.3% (95% CI, 15.1%-15.4%) of OOPE among inpatients and 12.4% (95% CI, 12.1%-12.6%) of OOPE among outpatients. Diagnostic tests accounted for a mean of 12.3% (95% CI, 12.2%-12.4%) of OOPE for inpatient and 9.2% (95% CI, 8.9%-9.5%) of OOPE for outpatient services. Nonmedical costs accounted for a mean of 23.6% (95% CI, 23.3%-23.8%) of OOPE among inpatients and 14.6% (95% CI, 14.1%-15.1%) of OOPE among outpatients. Mean share of OOPE from doctor consultations and diagnostic test charges increased with socioeconomic status. For example, for the lowest vs highest monthly per capita income quintile among inpatients, doctor consultations accounted for 11.5% (95% CI, 11.1%-11.8%) vs 21.2% (95% CI, 20.8%-21.6%), and diagnostic test charges accounted for 10.9% (95% CI, 10.6%-11.1%) vs 14.3% (95% CI, 14.0%-14.5%). The proportion of mean annual health expenditure from mean annual income was $299 of $1918 (15.6%) for inpatient and $391 of $1788 (21.9%) for outpatient services. Conclusions and Relevance: This study found that nonmedical costs were significant, share of total health care OOPE from doctor consultation and diagnostic test charges increased with socioeconomic status, and annual cost as a proportion of annual income was lower for inpatient than outpatient services.

Small area variations in low birth weight and small size of births in India.

The states and districts are the primary focal points for policy formulation and programme intervention in India. The within-districts variation of key health indicators is not well understood and consequently underemphasised. This study aims to partition geographic variation in low birthweight (LBW) and small birth size (SBS) in India and geovisualize the distribution of small area estimates. Applying a four-level logistic regression model to the latest round of the National Family Health Survey (2015-2016) covering 640 districts within 36 states and union territories of India, the variance partitioning coefficient and precision-weighted prevalence of LBW (<2.5 kg) and SBS (mother's self-report) were estimated. For each outcome, the spatial distribution by districts of mean prevalence and small area variation (as measured by standard deviation) and the correlation between them were computed. Of the total valid sample, 17.6% (out of 193,345 children) had LBW and 12.4% (out of 253,213 children) had SBS. The small areas contributed the highest share of total geographic variance in LBW (52%) and SBS (78%). The variance of LBW attributed to small areas was unevenly distributed across the regions of India. While a strong correlation between district-wide percent and within-district standard deviation was identified in both LBW (r = 0.88) and SBS (r = 0.87), they were not necessarily concentrated in the aspirational districts. We find the necessity of precise policy attention specifically to the small areas in the districts of India with a high prevalence of LBW and SBS in programme formulation and intervention that may be beneficial to improve childbirth outcomes.

Reducing childhood stunting in India: Insights from four subnational success cases.

Global success case analyses have identified factors supporting reductions in stunting across countries; less is known about successes at the subnational levels. We studied four states in India, assessing contributors to reductions in stunting between 2006 and 2016. Using public datasets, literature review, policy analyses and stakeholder interviews, we interpreted changes in the context of policies, programs and enabling environment. Primary contributors to stunting reduction were improvements in coverage of health and nutrition interventions (ranged between 11 to 23% among different states), household conditions (22-47%), and maternal factors (15-30%). Political and bureaucratic leadership engaged civil society and development partners facilitated change. Policy and program actions to address the multidimensional determinants of stunting reduction occur in sectors addressing poverty, food security, education, health services and nutrition programs. Therefore, for stunting reduction, focus should be on implementing multisectoral actions with equity, quality, and intensity with assured convergence on the same geographies and households. Supplementary Information: The online version contains supplementary material available at 10.1007/s12571-021-01252-x.

Exit strategies from lockdowns due to COVID-19: a scoping review.

INTRODUCTION: In response to the ongoing COVID-19 pandemic, countries have adopted various degrees of restrictive measures on people to reduce COVID-19 transmission. These measures have had significant social and economic costs. In the absence of therapeutics, and low vaccination coverage, strategies for a safe exit plan from a lockdown are required to mitigate the transmission and simultaneously re-open societies. Most countries have outlined or have implemented lockdown exit plans. The objective of this scoping review is to (a) identify and map the different strategies for exit from lockdowns, (b) document the effects of these exit strategies, and (c) discuss features of successful exit strategies based on the evidence. METHODS: A five-step approach was used in this scoping review: (a) identifying the research question and inclusion/exclusion criteria; (b) searching the literature using keywords within PubMed and WHO databases; (c) study selection; (d) data extraction; (e) collating results and qualitative synthesis of findings. RESULTS: Of the 406 unique studies found, 107 were kept for full-text review. Studies suggest the post-peak period as optimal timing for an exit, supplemented by other triggers such as sufficient health system capacity, and increased testing rate. A controlled and step-wise exit plan which is flexible and guided by information from surveillance systems is optimal. Studies recommend continued use of non-pharmaceutical interventions such as physical distancing, use of facemasks, and hygiene measures, in different combinations when exiting from a lockdown, even after optimal vaccination coverage has been attained. CONCLUSION: Reviewed studies have suggested adopting a multi-pronged strategy consisting of different approaches depending on the context. Among the different exit strategies reviewed (phase-wise exit, hard exit, and constant cyclic patterns of lockdown), phase-wise exit appears to be the optimal exit strategy.

Nutritional requirements for the elderly in India: A status paper.

Advances in the medical field and healthcare sector during the last few decades have resulted in increased longevity. Increased lifespans have in turn led to a rapid global rise of the elderly population. However, ensuring the health and quality of life, especially in the context of chronic age-related ailments, among the growing geriatric population is a challenge. Ageing is associated with several changes in body composition including a decline in the lean body mass usually accompanied by an increase in body fat content which have a bearing on the nutrient requirements for the elderly. The nutrient requirements currently recommended for Indian adults are primarily computed using a factorial approach, that considers the cumulative loss of nutrients and is adjusted for optimal body weights and bioavailability. It is logical that physiological and metabolic changes associated with ageing influence several of these factors: body weight, lean mass, energy expenditure, nutrient retention and bioavailability and thus alter nutrient requirements compared to the adult population. Acknowledging these age-related changes, some international organizations have suggested nutrient requirements specific to the elderly. Given the contextual differences in physiology, caution needs to be exercised in adopting these guidelines for the Indian elderly. In addition, in the Indian context, there is sparse information on the diet and nutrient intakes vis-à -vis nutritional status and physiology of the elderly. This status paper highlights some of the pertinent issues related to nutritional requirements for the elderly that advocate a need for deriving nutritional requirements for the elderly in India.

Estimating the Burden of Child Undernutrition for Smaller Electoral Units in India.

Importance: Geographic targeting of public health interventions is needed in resource-constrained developing countries. Objective: To develop methods for estimating health and development indicators across micropolicy units, using assembly constituencies (ACs) in India as an example. Design, Setting, and Participants: This cross-sectional study included children younger than 5 years who participated in the fourth National Family and Health Survey (NFHS-4), conducted between January 2015 and December 2016. Participants lived in 36 states and union territories and 640 districts in India. Children who had valid weight and height measures were selected for stunting, underweight, and wasting analysis, and children between age 6 and 59 months with valid blood hemoglobin concentration levels were included in the anemia analysis sample. The analysis was performed between February 1 and August 15, 2020. Exposures: A total of 3940 ACs were identified from the geographic location of primary sampling units in which the children's households were surveyed in NFHS-4. Main Outcomes and Measures: Stunting, underweight, and wasting were defined according to the World Health Organization Child Growth Standards. Anemia was defined as blood hemoglobin concentration less than 11.0 g/dL. Results: The main analytic sample included 222 172 children (mean [SD] age, 30.03 [17.01] months; 114 902 [51.72%] boys) from 3940 ACs in the stunting, underweight, and wasting analysis and 215 593 children (mean [SD] age, 32.63 [15.47] months; 112 259 [52.07%] boys) from 3941 ACs in the anemia analysis. The burden of child undernutrition varied substantially across ACs: from 18.02% to 60.94% for stunting, with a median (IQR) of 35.56% (29.82%-42.42%); from 10.40% to 63.24% for underweight, with a median (IQR) of 32.82% (25.50%-40.96%); from 5.56% to 39.91% for wasting, with a median (IQR) of 19.91% (15.70%-24.27%); and from 18.63% to 83.05% for anemia, with a median (IQR) of 55.74% (48.41%-63.01%). The degree of inequality within states varied across states; those with high stunting, underweight, and wasting prevalence tended to have high levels of inequality. For example, Uttar Pradesh, Jharkhand, and Karnataka had high mean AC-level prevalence of child stunting (Uttar Pradesh, 45.29%; Jharkhand, 43.76%; Karnataka, 39.77%) and also large SDs (Uttar Pradesh, 6.90; Jharkhand, 6.02; Karnataka, 6.72). The Moran I indices ranged from 0.25 to 0.80, indicating varying levels of spatial autocorrelation in child undernutrition across the states in India. No substantial difference in AC-level child undernutrition prevalence was found after adjusting for possible random displacement of geographic location data. Conclusions and Relevance: In this cross-sectional study, substantial inequality in child undernutrition was found across ACs in India, suggesting the importance of considering local electoral units in designing targeted interventions. The methods presented in this paper can be further applied to measuring health and development indicators in small electoral units for enhanced geographic precision of public health data in developing countries.

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.

Prioritizing pregnant women for COVID-19 vaccination.

Despite emerging evidence on safety and efficacy, most countries do not offer COVID-19 vaccines to pregnant women even though they are at higher risk of complications from COVID-19. We performed a web search of COVID-19 vaccination policies for pregnant women under two categories: countries bearing a high burden of COVID-19 cases and countries with a high burden of maternal and under-five mortality. Of the top 20 countries affected by COVID-19, 11 allow vaccination of pregnant women, of which two have deemed it safe to vaccinate pregnant women as a high-risk group. In contrast, only five of the 20 countries with high under-five mortality and maternal mortality allow vaccination of pregnant women and none of these countries has included them as part of a high-risk group that should be vaccinated. India and Indonesia, with one-fifth of the world's population, fall under both categories but do not include pregnant women as a priority group for COVID-19 vaccination. To prevent COVID-19 from further aggravating the already heavy burden of maternal and under-five mortality, there is a strong case for including pregnant women as a high-priority group for COVID-19 vaccination. We recommend including COVID-19 vaccination in routine antenatal care in all countries, particularly India and Indonesia in view of their high dual burden.

Precision mapping child undernutrition for nearly 600,000 inhabited census villages in India.

There are emerging opportunities to assess health indicators at truly small areas with increasing availability of data geocoded to micro geographic units and advanced modeling techniques. The utility of such fine-grained data can be fully leveraged if linked to local governance units that are accountable for implementation of programs and interventions. We used data from the 2011 Indian Census for village-level demographic and amenities features and the 2016 Indian Demographic and Health Survey in a bias-corrected semisupervised regression framework to predict child anthropometric failures for all villages in India. Of the total geographic variation in predicted child anthropometric failure estimates, 54.2 to 72.3% were attributed to the village level followed by 20.6 to 39.5% to the state level. The mean predicted stunting was 37.9% (SD: 10.1%; IQR: 31.2 to 44.7%), and substantial variation was found across villages ranging from less than 5% for 691 villages to over 70% in 453 villages. Estimates at the village level can potentially shift the paradigm of policy discussion in India by enabling more informed prioritization and precise targeting. The proposed methodology can be adapted and applied to diverse population health indicators, and in other contexts, to reveal spatial heterogeneity at a finer geographic scale and identify local areas with the greatest needs and with direct implications for actions to take place.

Small Area Variations in Dietary Diversity Among Children in India: A Multilevel Analysis of 6-23-Month-Old Children.

Dietary diversity is an important indicator of child malnutrition. However, little is known about the geographic variation of diet indicators across India, particularly within districts and across states. As such, the purpose of this paper was to elucidate the small area variations in diet indicators between clusters within districts of India. Overall, we found that clusters were the largest source of variation for children not eating grains, roots, and tubers, legumes and nuts, dairy, vitamin A-rich vegetables and fruits, and other vegetables and fruits. We also found positive correlations between the district percent and cluster standard deviations of children not breastfeeding or eating grains, roots, and tubers, but negative correlations between the district percent and cluster standard deviation for the remaining seven outcomes. These findings underscore the importance of targeting clusters to improve child dietary diversity.