Deworming and micronutrient status by community open defecation prevalence: An observational study using nationally representative data from India, 2016-2018.

BACKGROUND: Micronutrient deficiencies are widespread in India. Soil-transmitted helminth (STH) infections are acquired by interaction with soil and water contaminated by human feces and lead to blood loss and poor micronutrient absorption. The current recommendation for control of STH-related morbidity is targeted deworming, yet little is known about the effectiveness of deworming on micronutrient status in varying sanitation contexts. Ranging between 1% and 40% prevalence across Indian states, open defecation (OD) remains high despite India's investments at elimination by promoting community-wide sanitation. This variation provides an opportunity to study the relationship between deworming, micronutrient status, and OD at-scale. METHODS AND FINDINGS: Cross-sectional datasets that were representative for India were obtained the Comprehensive National Nutrition Survey in 2016 to 2018 (n = 105,060 individuals aged 1 to 19 years). Consumption of deworming medication was described by age and community OD level. Logistic regression models were used to examine the relationship between deworming, cluster OD, and their interactions, with anemia and micronutrient deficiencies (iron, zinc, vitamin A, folate, and vitamin B12), controlling for age, sex, wealth, diet, and seasonality. These regression models further allowed us to identify a minimum OD rate after which deworming becomes ineffective. In sensitivity analyses, the association between deworming and deficiencies were tested in subsamples of communities classified into 3 OD levels based on statistical tertiles: OD free (0% of households in the community practicing OD), moderate OD (>0% and <30%), or high OD (at least 30%). Average deworming coverage and OD prevalence in the sample were 43.4% [IQR 26.0, 59.0] and 19.1% [IQR 0, 28.5], respectively. Controlling for other determinants of nutritional status, adolescents living in communities with higher OD levels had lower coverage of deworming and higher prevalence of anemia, zinc, vitamin A, and B12 deficiencies. Compared to those who were not dewormed, dewormed children and adolescents had lower odds of anemia (adjusted odds ratio 0.72, (95% CI [0.67, 0.78], p < 0.001) and deficiencies of iron 0.78, (95% CI [0.74, 0.82], p < 0.001) and folate 0.69, (95% CI [0.64,0.74], p<0.001)) in OD free communities. These protective effects remained significant for anemia but diminished for other micronutrient deficiencies in communities with moderate or high OD. Analysis of community OD indicated a threshold range of 30% to 60%, above which targeted deworming was no longer significantly associated with lower anemia, iron, and folate deficiency. The primary limitations of the study included potential for omitted variables bias and inability to capture longitudinal effects. CONCLUSIONS: Moderate to high rates of OD significantly modify the association between deworming and micronutrient status in India. Public health policy could involve sequencing interventions, with focus on improving deworming coverage in communities that have achieved minimum thresholds of OD and re- triggering sanitation interventions in high OD communities prior to deworming days, ensuring high coverage for both. The efficacy of micronutrient supplementation as a complementary strategy to improve nutritional outcomes alongside deworming and OD elimination in this age group needs further study.

Utilization of Integrated Child Development Services (ICDS) and its linkages with undernutrition in India.

The Integrated Child Development Services (ICDS) programme has been the central focus of the POSHAN Abhiyaan to combat maternal and child malnutrition under the national nutrition mission in India. This paper examined the linkages between utilization of ICDS and underweight among children aged 6-59 months. The study utilized data from two recent rounds of the National Family Health Survey (NFHS-4 [2015-2016] and NFHS-5 [2019-2021]). Descriptive analyses were used to assess the change in utilization of ICDS and the prevalence of underweight at the national and state levels. Multivariable logistic regressions were performed to examine factors associated with the utilization of ICDS and underweight. Linkages between utilization of ICDS and underweight were examined using the difference-in-differences (DID) approach. Utilization of ICDS increased from 58% in 2015-2016 to 71% in 2019-2021. The prevalence of underweight decreased from 37% to 32% in the same period. Changes in ICDS utilization and underweight prevalence varied considerably across states, socioeconomic and demographic characteristics. Results from decomposition of DID models suggest that improvements in ICDS explained 9%-12% of the observed reduction in underweight children between 2016 and 2021, suggesting that ICDS made a modest but meaningful contribution in addressing undernutrition among children aged 6-59 months in this period.

Maternal and Child Health Benefits of the Mamata Conditional Cash Transfer Program in Odisha, India.

BACKGROUND: Conditional cash transfers (CCTs) are demand-side interventions that link cash receipt to fulfilment of health-promoting conditions such as regular health check-ups and investment in human capital. In 2011, the Indian state of Odisha, implemented a statewide CCT program-the Mamata Scheme-towards improving maternal/child health outcomes and promoting health-seeking behavior. Mamata targets pregnant and lactating women aged ≥19 y, and provides a sizable financial incentive relative to household income levels. OBJECTIVES: We aimed to longitudinally examine whether, and to what extent, initiation of the Mamata scheme corresponded with changes in health and nutrition outcomes in Odisha, relative to comparison states in India. METHODS: Outcomes included maternal health service utilization [antenatal care (ANC), iron-folic acid supplementation, breastfeeding counseling, full child immunization, tetanus vaccination, vitamin A supplementation] and nutrition [anemia during pregnancy and stunting, anemia in children <5 y old (U5)]. Data on outcomes and covariates were obtained from 3 waves of India's National Family Health Surveys corresponding to the years 1999, 2006, and 2016. We used difference-in-differences (DID) estimation strategy to estimate the impact of the program. RESULTS: The pooled sampled size comprised >200,000 mother-child dyads. Tests of parallel trends indicated that preintervention trends were similar across all outcomes in Odisha with the exception of anemia. When comparing Odisha with other states for health services, DID models indicated that exposure to Mamata corresponded with increased odds of counseling for breastfeeding (OR: 2.74; 95% CI: 1.97, 3.80), ANC receipt (OR: 1.51; 95% CI: 1.15, 1.99), and full immunization (OR: 1.69; 95% CI: 1.37, 2.08). DID models also indicated decline in stunting (OR: 0.92; 95% CI: 0.84, 1.02) and anemia (OR: 0.62; 95% CI: 0.54, 0.71) among U5 children in Odisha following Mamata, relative to comparison states. Models comparing poor with nonpoor groups indicated the presence of heterogeneous effects. CONCLUSIONS: This study provides proof-of-concept for potential improvements in maternal and child nutrition outcomes following CCTs that incentivize health care utilization in India.

Changes in socio-economic patterns of energy consumption and insufficient energy intake across India from 1993-94 to 2011-12.

OBJECTIVE: To assess whether disparities in energy consumption and insufficient energy intake in India have changed over time across socio-economic status (SES). DESIGN: This cross-sectional, population-based survey study examines the relationship between several SES indicators (i.e. wealth, education, caste, occupation) and energy consumption in India at two time points almost 20 years apart. Household food intake in the last 30 d was assessed in 1993-94 and in 2011-12. Average dietary energy intake per person in the household (e.g. kilocalories) and whether the household consumed less than 80 % of the recommended energy intake (i.e. insufficient energy intake) were calculated. Linear and relative risk regression models were used to estimate the relationship between SES and average energy consumed per day per person and the relative risk of consuming an insufficient amount of energy. SETTING: Rural and urban areas across India. PARTICIPANTS: A nationally representative sample of households. RESULTS: Among rural households, there was a positive association between SES and energy intake across all four SES indicators during both survey years. Similar results were seen for energy insufficiency vis-à-vis recommended energy intake levels. Among urban households, wealth was associated with energy intake and insufficiency at both time points, but there was no educational patterning of energy insufficiency in 2011-12. CONCLUSIONS: Results suggest little overall change in the SES patterning of energy consumption and percentage of households with insufficient energy intake from 1993-94 to 2011-12 in India. Policies in India need to improve energy intake among low-SES households, particularly in rural areas.

India's Integrated Child Development Services programme; equity and extent of coverage in 2006 and 2016.

OBJECTIVE: To investigate coverage and equity of India's Integrated Child Development Services programme across the continuum of care from pregnancy to early childhood, before and after the programme was expanded to provide universal access. METHODS: The programme offers nutrition and health services to pregnant and lactating mothers and young children. We used data from nationally representative surveys in 2005-2006 and 2015-2016, including 36 850 mother-child pairs in 2006 and 190 804 in 2016. We assessed changes in the equity of use of programme services by socioeconomic quintile, caste, education and rural or urban residence. We used regression models to investigate the determinants of programme use. FINDINGS: The mean proportion of respondents using programme services increased between 2006 and 2016, from 9.6% to 37.9% for supplementary food, 3.2% to 21.0% for health and nutrition education, 4.5% to 28% for health check-ups and 10.4% to 24.2% for child-specific services (e.g. immunization, growth monitoring). Wealth, maternal education and caste showed the largest positive associations with use of services. However, expansion in service use varied at the sub-national level. Although overall use had improved and reached marginalized groups such as disadvantaged castes and tribes, the poorest quintiles of the population were still left behind, especially in the largest states that carry the highest burden of undernutrition. CONCLUSION: India's policy reforms have increased coverage of the programme at the national level, including for marginalized groups. With further scaling-up, the programme needs to focus on reaching households from the lowest socioeconomic strata and women with low schooling levels.

Social networks, mobility, and political participation: The potential for women's self-help groups to improve access and use of public entitlement schemes in India.

Women's self-help groups (SHGs) have increasingly been used as a vehicle for social, political, and economic empowerment as well as a platform for service delivery. Although a growing body of literature shows evidence of positive impacts of SHGs on various measures of empowerment, our understanding of ways in which SHGs improve awareness and use of public services is limited. To fill this knowledge gap, this paper first examines how SHG membership is associated with political participation, awareness, and use of government entitlement schemes. It further examines the effect of SHG membership on various measures of social networks and mobility. Using data collected in 2015 across five Indian states and matching methods to correct for endogeneity of SHG membership, we find that SHG members are more politically engaged. We also find that SHG members are not only more likely to know of certain public entitlements than non-members, they are significantly more likely to avail of a greater number of public entitlement schemes. Additionally, SHG members have wider social networks and greater mobility as compared to non-members. Our results suggest that SHGs have the potential to increase their members' ability to hold public entities accountable and demand what is rightfully theirs. An important insight, however, is that the SHGs themselves cannot be expected to increase knowledge of public entitlement schemes in absence of a deliberate effort to do so by an external agency.

Impact of subsidized fortified wheat on anaemia in pregnant Indian women.

The World Health Assembly called for a 50% global anaemia reduction in women of reproductive age (15-49 years of age) from 2012 to 2025. India accounts for the most cases of anaemia in the world, and half of all pregnant Indian women are anaemic. In India, the government implemented a 4-year food-based safety net programme from 2008 to 2012 involving the provision of fortified wheat flour through its public distribution system. We assessed programme impact on anaemia among pregnant women (n = 10,186) using data from the 2002-2004 and 2012-2013 Indian District Level Health Surveys. The difference-in-differences method was used to estimate the impact on haemoglobin (Hb) and anaemia in pregnant women living in northern India (Punjab) and southern India (Tamil Nadu), with pregnant women in neighbouring states without wheat fortification programmes serving as controls. In northern India, we found no impact on Hb (ß = -0.184, P = 0.793) or anaemia reduction (ß = -0.01, P = 0.859), as expected, given that the intervention targeted only nonpoor households and demand for fortified wheat was low. In southern India, where intervention coverage was high, we found no impact on Hb (ß = -0.001, P = 0.998) but did see an impact on anaemia reduction (ß = -0.08, P = 0.042), which was unexpected given low consumption of wheat in this predominantly rice-eating region. India's wheat fortification programmes were largely ineffective in terms of reducing anaemia among pregnant women. As policymakers expand fortification programs, it is critical to ensure that the fortified food is universally available and distributed widely through well-functioning and popular outlets.

Identifying sociodemographic, programmatic and dietary drivers of anaemia reduction in pregnant Indian women over 10 years.

OBJECTIVE: Anaemia is a major contributor to the global disease burden and half of pregnant women in India were anaemic in 2016. The aetiology of anaemia is complex, yet anaemia determinants are frequently examined in isolation. We sought to explore how shifts in sociodemographic (wealth, age at pregnancy, education, open defecation, cooking fuel type, household size), programmatic (iron-folic acid tablet consumption, antenatal care visits) and dietary factors (intake of Fe, folic acid, vitamin B12, phytate) predicted changes in anaemia prevalence. DESIGN: Nutrient levels for eighty-eight food items were multiplied by household consumption of these foods to estimate household-level nutrient supply. A synthetic panel data set was created from two rounds of the District Level Household and Facility Survey (2002-04 and 2012-13) and Household Consumer Expenditures Survey (2004-05 and 2011-12). Ordinary least-squares multivariate regression models were used. SETTING: Districts (n 446) spanning north, north-east, central and south India. SUBJECTS: Pregnant women aged 15-49 years (n 17 138). RESULTS: In the model accounting for both non-dietary and dietary factors, increased age at pregnancy (P<0·001), reduced village-level open defecation (P=0·001), consuming more Fe (P<0·001) and folic acid (P=0·018) and less phytate (P=0·002), and urbanization (P=0·015) were associated with anaemia reductions. A 10 mg increase in daily household Fe supply from 2012 levels was associated with a 10 % reduction in anaemia. CONCLUSIONS: Public health interventions to combat anaemia in pregnant women should use a holistic approach, including promotion of delayed marriage, construction and use of toilets, and measures that facilitate adoption of nutrient-rich diets.

Estimating the cost of delivering direct nutrition interventions at scale: national and subnational level insights from India.

India's national nutrition and health programmes are largely designed to provide evidence-based nutrition-specific interventions, but intervention coverage is low due to a combination of implementation challenges, capacity and financing gaps. Global cost estimates for nutrition are available but national and subnational costs are not. We estimated national and subnational costs of delivering recommended nutrition-specific interventions using the Scaling Up Nutrition (SUN) costing approach. We compared costs of delivering the SUN interventions at 100% scale with those of nationally recommended interventions. Target populations (TP) for interventions were estimated using national population and nutrition data. Unit costs (UC) were derived from programmatic data. The cost of delivering an intervention at 100% coverage was calculated as (UC*projected TP). Cost estimates varied; estimates for SUN interventions were lower than estimates for nationally recommended interventions because of differences in choice of intervention, target group or unit cost. US$5.9bn/year are required to deliver a set of nationally recommended nutrition interventions at scale in India, while US$4.2bn are required for the SUN interventions. Cash transfers (49%) and food supplements (40%) contribute most to costs of nationally recommended interventions, while food supplements to prevent and treat malnutrition contribute most to the SUN costs. We conclude that although such costing is useful to generate broad estimates, there is an urgent need for further costing studies on the true unit costs of the delivery of nutrition-specific interventions in different local contexts to be able to project accurate national and subnational budgets for nutrition in India.

Effects of a large-scale alcohol ban on population-level alcohol intake, weight, blood pressure, blood glucose, and domestic violence in India: a quasi-experimental population-based study.

Background: Globally, alcohol consumption is a leading risk factor for deaths and disability and a causal factor in over 200 diseases, injuries, and health conditions. In April 2016, the manufacture, transport, sale, and consumption of alcohol was banned in Bihar, a populous Indian state. We sought to estimate the impacts of this ban on health outcomes and domestic violence. Methods: Data from the Indian National Family Health Surveys (2005-06, 2015-16, 2019-21), Annual Health Survey (2013), and District Level Household Survey (2012), were used to conduct difference-in-differences (DID) analysis, comparing Bihar (n = 10,733 men, n = 88,188 women) and neighbouring states (n = 38,674 men, n = 284,820 women) before and after the ban. Outcomes included frequent (daily or weekly) alcohol consumption, underweight, obesity, hypertension, diabetes, and intimate partner violence. A triple difference model adding male-female interaction to the DID model was also estimated. Attributable averted cases were calculated to estimate the impact of the ban. Findings: Across all models, the ban led to reduced frequent alcohol consumption (DID: -7.1 percentage points (pp) (95% CI -9.6pp, -4.6pp), lower overweight/obesity (-5.6pp (-8.9, -2.2) among males, and reduced experiences of emotional (-4.8pp (-8.2pp, -1.4pp) and sexual (-5.5pp (-8.7pp, -2.3pp) violence among females. The ban prevented approximately 2.4 million cases of daily/weekly alcohol consumption and 1.8 million cases of overweight/obesity among males, and 2.1 million cases of intimate partner violence among females. Interpretation: Strict alcohol regulation policies may yield significant population level health benefits for frequent drinkers and many victims of intimate partner violence. Funding: No funding was received for this work.

Toilet construction under the Swachh Bharat Mission and infant mortality in India.

Improvement of water and sanitation conditions may reduce infant mortality, particularly in countries like India where open defecation is highly prevalent. We conducted a quasi-experimental study to investigate the association between the Swachh Bharat Mission (SBM)-a national sanitation program initiated in 2014-and infant (IMR) and under five mortality rates (U5MR) in India. We analyzed data from thirty-five Indian states and 640 districts spanning 10 years (2011-2020), with IMR and U5MR per thousand live births as the outcomes. Our main exposure was the district-level annual percentage of households that received a constructed toilet under SBM. We mapped changes in IMR and U5MR and toilet access at the district level over time. We fit two-way fixed effects regression models controlling for sociodemographic, wealth, and healthcare-related confounders at the district-level to estimate the association between toilets constructed and child mortality. Toilet access and child mortality have a historically robust inverse association in India. Toilets constructed increased dramatically across India following the implementation of SBM in 2014. Results from panel data regression models show that districts with > 30% toilets constructed under SBM corresponds with 5.3 lower IMR (p < 0.05), and 6.8 lower U5MR (p < 0.05). Placebo, falsification tests and robustness checks support our main findings. The post-SBM period in India exhibited accelerated reductions in infant and child mortality compared to the pre-SBM years. Based on our regression estimates, the provision of toilets at-scale may have contributed to averting approximately 60,000-70,000 infant deaths annually. Our findings show that the implementation of transformative sanitation programs can deliver population health benefits in low- and middle-income countries.

Missing Black males among preterm births in the US, 1995 to 2019.

BACKGROUND: In the US, non-Hispanic (NH) Black birthing persons show a two-fold greater risk of fetal death relative to NH white birthing persons. Since males more than females show a greater risk of fetal death, such loss in utero may affect the sex composition of live births born preterm (PTB; <37 weeks gestational age). We examine US birth data from 1995 to 2019 to determine whether the ratio of male to female preterm (i.e., PTB sex ratios) among NH Black births falls below that of NH whites and Hispanics. METHODS: We acquired data on all live births in the US from January 1995 to December 2019. We arrayed 63 million live births into 293 "conception cohort" months of which 2,475,928 NH Black, 5,746,953 NH white, and 2,511,450 Hispanic infants were PTB. We used linear regression methods to identify trend and seasonal patterns in PTB sex ratios. We also examined subgroup differences in PTB sex ratios (e.g., advanced maternal ages, twin gestations, and narrower gestational age ranges). RESULTS: The mean PTB sex ratio for NH Black births over the entire test period (1.06, 95% Confidence Interval [CI]: 1.05, 1.07) is much lower than that for NH white births (1.18, 95% CI: 1.17, 1.19). NH Black PTB sex ratios are especially low for twins and for births to mothers 35 years or older. Only NH white PTB sex ratios show a trend over the test period. CONCLUSIONS: Analysis of over 10 million PTBs reveals a persistently low male PTB frequency among NH Black conception cohorts relative to NH white cohorts. Low PTB sex ratios among NH Black births concentrate among subgroups that show an elevated risk of fetal death. PTB sex ratios may serve as an indicator of racial/ethnic and subgroup differences in fetal death, especially among male gestations.

Sweetened Beverage Tax Implementation and Change in Body Mass Index Among Children in Seattle.

Importance: Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes. Objective: To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children. Design, Setting, and Participants: In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC]). Children were included in the study if they were aged 2 to 18 years (between January 1, 2014, and December 31, 2019); had at least 1 weight measurement every year between 2015 and 2019; lived in Seattle or in urban areas of 3 surrounding counties (King, Pierce, and Snohomish); had not moved between taxed (Seattle) and nontaxed areas; received primary health care from KP or OBCC; did not have a recent history of cancer, bariatric surgery, or pregnancy; and had biologically plausible height and BMI (calculated as weight in kilograms divided by height in meters squared). Data analysis was conducted between August 5, 2022, and March 4, 2024. Exposure: Seattle sweetened beverage tax (1.75 cents per ounce on sweetened beverages), implemented on January 1, 2018. Main Outcomes and Measures: The primary outcome was BMIp95 (BMI expressed as a percentage of the 95th percentile; a newly recommended metric for assessing BMI change) of the reference population for age and sex, using the Centers for Disease Control and Prevention growth charts. In the primary (synthetic difference-in-differences [SDID]) model used, a comparison sample was created by reweighting the comparison sample to optimize on matching to pretax trends in outcome among 6313 children in Seattle. Secondary models were within-person change models using 1 pretax measurement and 1 posttax measurement in 22 779 children and fine stratification weights to balance baseline individual and neighborhood-level confounders. Results: The primary SDID analysis included 6313 children (3041 female [48%] and 3272 male [52%]). More than a third of children (2383 [38%]) were aged 2 to 5 years); their mean (SE) age was 7.7 (0.6) years. With regard to race and ethnicity, 789 children (13%) were Asian, 631 (10%) were Black, 649 (10%) were Hispanic, and 3158 (50%) were White. The primary model results suggested that the Seattle tax was associated with a larger decrease in BMIp95 for children living in Seattle compared with those living in the comparison area (SDID: -0.90 percentage points [95% CI, -1.20 to -0.60]; P < .001). Results from secondary models were similar. Conclusions and Relevance: The findings of this cohort study suggest that the Seattle sweetened beverage tax was associated with a modest decrease in BMIp95 among children living in Seattle compared with children living in nearby nontaxed areas who were receiving care within the same health care systems. Taken together with existing studies in the US, these results suggest that sweetened beverage taxes may be an effective policy for improving children's BMI. Future research should test this association using longitudinal data in other US cities with sweetened beverage taxes.

Disparities in preterm birth following the July 1995 Chicago heat wave.

PURPOSE: To evaluate if changes in preterm birth (PTB, <37 weeks of gestation) incidence differed between non-Hispanic (NH) Black and NH white births following the July 1995 Chicago heat wave-among the most severe U.S. heat waves since 1950. METHODS: We used an ecologic study design. We obtained birth data from January 1990-December 1996 from the National Vital Statistics File to calculate the mean monthly PTB incidence in Chicago's Cook County, Illinois. Births between July 1995 and February 1996 were potentially exposed to the heat wave in utero. We generated time series models for NH Black and NH white births, which incorporated synthetic controls of Cook County based on unexposed counties. We ran a secondary analysis considering socioeconomic status (SES). RESULTS: From 1990-1996, the mean monthly PTB incidence among NH Black births was 18.6% compared to 7.8% among NH white births. The mean monthly PTB incidence among NH Black births from August 1995-January 1996 was 16.7% higher than expected (three additional PTBs per 100 live births per month [95% confidence interval (CI): 1, 5]). A similar increase occurred among low-SES NH Black births. No increase appeared among NH white births. CONCLUSIONS: Severe heat waves may increase racial disparities in PTB incidence.

Evidence-Based Nutrition Interventions Improved Adolescents' Knowledge and Behaviors in Indonesia.

Adolescence is a nutritionally vulnerable and critical life stage. However, few programs and policies focus on improving adolescent nutrition in Indonesia. To address this gap, we implemented a gender-responsive package of interventions: (1) breakfast and weekly iron-folic acid supplementation (WIFS), (2) a school-based nutrition education program, and (3) a social behavior change communication strategy. We surveyed 514 adolescents at baseline (2019) and endline (2020) in Klaten and Lombok Barat districts in Indonesia. The survey included a knowledge assessment on nutrition, as well as indicators of attitudes and behaviors on diet, physical activity, and WIFS. We employed multivariable linear and logistic regression to test for pre-post intervention differences. Overall knowledge was significantly higher post-intervention (ß: 3.3; 95% confidence interval [CI]: 2.6, 3.9). Diet diversity was high at both timepoints, however, at post-intervention there was significantly higher odds of consuming vitamin A-rich fruits and vegetables (Odds Ratio [OR]: 1.5; 95% CI: 1.1, 2.0) and lower odds of consuming sugar-sweetened beverages (OR: 0.4; 95% CI: 0.3, 0.5). Post-intervention, there was higher odds of reporting 60 min of daily physical activity (OR: 2.3; 95% CI: 1.7, 3.2) and WIFS among girls (OR: 6.7; 95% CI: 1.5, 30.9). The package of interventions may be a promising first step to improving adolescent nutrition in Indonesia.

Global and regional spending on dementia care from 2000-2019 and expected future health spending scenarios from 2020-2050: An economic modelling exercise.

Background: The global burden of dementia is increasing. As diagnosis and treatment rates increase and populations grow and age, additional diagnosed cases will present a challenge to healthcare systems globally. Even modelled estimates of the current and future healthcare spending attributable to dementia are valuable for decision makers and advocates to prepare for growing demand. Methods: We modelled healthcare spending attributable to dementia from 2000 to 2019 and expected estimated future spending from 2020 to 2050 under multiple scenarios. Data were from the Global Burden of Diseases 2019 study and from two systematic literature reviews. We used meta-regression to estimate the fraction of dementia spending that is attributable to dementia for those receiving nursing home-based care and for those receiving community-based care. We used spatiotemporal Gaussian process regression to account for data missingness and model diagnosis and treatment rates, nursing home-based care and community-based care rates, and unit costs for the many countries without their own underlying estimates. Projections of future spending estimate a baseline scenario from 2020 to 2050 based on ongoing growth. Alternative scenarios assessed faster growth rates for dementia diagnosis and treatment rates, nursing home-based care, and healthcare costs. All spending is reported in 2019 United States dollars or 2019 purchasing-power parity-adjusted dollars. Findings: Based on observed and modelled inputs, we estimated that global spending on dementia increased by 4.5% (95% uncertainty interval: 3.4-5.4%) annually from 2000 to 2019, reaching $263 billion (95% uncertainty interval [UI] $199- $333) attributable to dementia in 2019. We estimated total healthcare spending on patients with dementia was $594 billion (95% UI $457-$843). Under the baseline scenario, we estimated that attributable dementia spending will reach $1.6 trillion (95% UI $0.9-$2.6) by 2050. We project it will represent 11% (95% UI 6-18%) of all expected health spending, although it could be as high as 17% (95% UI 10-26%) under alternative scenarios. Interpretation: Health systems will experience increases in the burden of dementia in the near future. These modelled direct cost estimates, built from a relatively small set of data and linear time trends, highlight the magnitude of health system resources expected to be used to provide care and ensure sufficient and adequate resources for aging populations and their caretakers. More data are needed to corroborate these important trends.

Reduced water collection time improves learning achievement among primary school children in India.

In low-and-middle-income countries, the provisioning of safe drinking water is a challenge that will likely worsen with climate change. Securing water will require more work and time, burdening women and children the most. Currently, the consequences of this time burden to children's development remain understudied. To address this gap, we examine the tradeoff between children's household water collection responsibilities and learning achievement. Using nationally representative data from India, we measure the effect of daily fetching time on primary school children's learning achievement in a two-stage regression model, with rainfall as the instrument. Our analyses indicate that higher fetching times predict lower mathematics (-1.23 standard deviations, 95CI[-2.32, -0.14]), reading (-1.13 standard deviations, 95CI[-2.07, -0.19]), and writing (-1.21 standard deviations, 95CI[-1.89, -0.51]) test scores. These effects are heterogeneous across sex and infrastructure type. For example, we find girls' mathematical and reading skills profit more from reductions in fetching time than boys' (score less affected for boys by ß amount: mathematics: ß=0.26 points, 95CI[0.095, 0.42]; reading: ß=0.27 points, 95CI[0.054, 0.49]). Children using hand pumps, open wells, or tube wells are hurt more academically in mathematics and writing by increases in fetching time than children with mostly off-premises piped access (e.g., writing scores more affected by ß amount: hand pump: ß=-0.18, 95CI[-0.29, -0.081]; open well: ß=-0.18, 95CI[-0.33, -0.040]; tube well: ß=-0.14, 95CI[-0.29, -0.00072]). Given these results, we recommend off-premises piped infrastructure in the absence of piped-to-premises water in water-insecure contexts and offer guidance for targeting infrastructure investments in India.

Association of Human Mobility Restrictions and Race/Ethnicity-Based, Sex-Based, and Income-Based Factors With Inequities in Well-being During the COVID-19 Pandemic in the United States.

Importance: An accurate understanding of the distributional implications of public health policies is critical for ensuring equitable responses to the COVID-19 pandemic and future public health threats. Objective: To identify and quantify the association of race/ethnicity-based, sex-based, and income-based inequities of state-specific lockdowns with 6 well-being dimensions in the United States. Design, Setting, and Participants: This pooled, repeated cross-sectional study used data from 14 187 762 households who participated in phase 1 of the population-representative US 2020 Household Pulse Survey (HPS). Households were invited to participate by email, text message, and/or telephone as many as 3 times. Data were collected via an online questionnaire from April 23 to July 21, 2020, and participants lived in all 50 US states and the District of Columbia. Exposures: Indicators of race/ethnicity, sex, and income and their intersections. Main Outcomes and Measures: Unemployment; food insufficiency; mental health problems; no medical care received for health problems; default on last month's rent or mortgage; and class cancellations with no distance learning. Race/ethnicity, sex, income, and their intersections were used to measure distributional implications across historically marginalized populations; state-specific, time-varying population mobility was used to measure lockdown intensity. Logistic regression models with pooled repeated cross-sections were used to estimate risk of dichotomous outcomes by social group, adjusted for confounding variables. Results: The 1 088 314 respondents (561 570 [51.6%; 95% CI, 51.4%-51.9%] women) were aged 18 to 88 years (mean [SD], 51.55 [15.74] years), and 826 039 (62.8%; 95% CI, 62.5%-63.1%) were non-Hispanic White individuals; 86 958 (12.5%; 95% CI, 12.4%-12.7%), African American individuals; 86 062 (15.2%; 95% CI, 15.0%-15.4%), Hispanic individuals; and 50 227 (5.6%; 95% CI, 5.5%-5.7%), Asian individuals. On average, every 10% reduction in mobility was associated with higher odds of unemployment (odds ratio [OR], 1.3; 95% CI, 1.2-1.4), food insufficiency (OR, 1.1; 95% CI, 1.1-1.2), mental health problems (OR, 1.04; 95% CI, 1.0-1.1), and class cancellations (OR, 1.1; 95% CI, 1.1-1.2). Across most dimensions compared with White men with high income, African American individuals with low income experienced the highest risks (eg, food insufficiency, men: OR, 3.3; 95% CI, 2.8-3.7; mental health problems, women: OR, 1.9; 95% CI, 1.8-2.1; medical care inaccessibility, women: OR, 1.7; 95% CI, 1.6-1.9; unemployment, men: OR, 2.8; 95% CI, 2.5-3.2; rent/mortgage defaults, men: OR, 5.7; 95% CI, 4.7-7.1). Other high-risk groups were Hispanic individuals (eg, unemployment, Hispanic men with low income: OR, 2.9; 95% CI, 2.5-3.4) and women with low income across all races/ethnicities (eg, medical care inaccessibility, non-Hispanic White women: OR, 1.8; 95% CI, 1.7-2.0). Conclusions and Relevance: In this cross-sectional study, African American and Hispanic individuals, women, and households with low income had higher odds of experiencing adverse outcomes associated with the COVID-19 pandemic and stay-at-home orders. Blanket public health policies ignoring existing distributions of risk to well-being may be associated with increased race/ethnicity-based, sex-based, and income-based inequities.

Intergenerational nutrition benefits of India's national school feeding program.

India has the world's highest number of undernourished children and the largest school feeding program, the Mid-Day Meal (MDM) scheme. As school feeding programs target children outside the highest-return "first 1000-days" window, they have not been included in the global agenda to address stunting. School meals benefit education and nutrition in participants, but no studies have examined whether benefits carry over to their children. Using nationally representative data on mothers and their children spanning 1993 to 2016, we assess whether MDM supports intergenerational improvements in child linear growth. Here we report that height-for-age z-score (HAZ) among children born to mothers with full MDM exposure was greater (+0.40 SD) than that in children born to non-exposed mothers. Associations were stronger in low socioeconomic strata and likely work through women's education, fertility, and health service utilization. MDM was associated with 13-32% of the HAZ improvement in India from 2006 to 2016.

Association of Poor Sanitation With Growth Measurements Among Children in India.

Importance: Much research on sanitation and linear growth in low- and middle-income countries focuses on children younger than 5 years. However, poor sanitation may be associated with growth faltering during middle and late childhood to a greater extent than previously recognized. Objective: To characterize the association of poor sanitation with height-for-age z (HAZ) scores in children and adolescents in India aged 0 to 18 years. Design, Setting, and Participants: This cross-sectional study examined 134 882 children and adolescents aged 0 to 18 years who were surveyed in the fourth round of India's District Level Household and Facilities Survey (survey conducted August 2012 to February 2014). Data were analyzed from June 1, 2019, to August 20, 2019. Exposures: Proportion of households reporting open defecation at the village level (to account for its high negative externality) and household-level access to boiled or filtered drinking water. Main Outcomes and Measures: Individual-level HAZ scores were measured in standard deviations. The association of exposures with outcomes was estimated using ordinary least-squares regression stratified by sex (boys and girls) and 4 age groups (≤1, >1 to ≤7, >7 to ≤12, >12 to ≤18 years). Models controlled for parental height and education, socioeconomic status, maternal age at birth, hemoglobin level, and indicators for state and birth year to adjust for regional (state) and temporal (birth year) fixed effects. Results: The sample comprised 70 463 male (52.5%) and 64 419 female (47.8%) children and adolescents aged 0 to 18 years; 46 722 participants (34.6%) were aged older than 12 to 18 years. Open defecation was inversely associated with HAZ score among all age groups except boys aged 1 year and younger (>1 to ≤7 years: ß, -0.22; 95% CI, -0.35 to -0.10; >7 to ≤12 years: ß, -0.15; 95% CI, -0.24 to -0.06; >12 to ≤18 years: ß, -0.10; 95% CI, -0.19 to -0.01) and among girls aged between 7 and 18 years (>7 to ≤12 years: ß, -0.22; 95% CI, -0.33 to -0.12; >12 to ≤18 years: ß, -0.16; 95% CI, -0.23 to -0.09). Boiled or filtered drinking water was positively associated with HAZ score among younger girls (≤1 year: ß, 0.26; 95% CI, 0.07 to 0.45; >1 to ≤7 years: ß, 0.07; 95% CI, 0.01 to 0.14) and across all age groups in boys (≤1 years: ß, 0.19; 95% CI, 0.03 to 0.35; >1 to ≤7 years: ß, 0.07; 95% CI, 0.00 to 0.14; >7 to ≤12 years: ß, 0.08; 95% CI, 0.03 to 0.13; >12 to ≤18 years: ß, 0.06; 95% CI, 0.01 to 0.11). Conclusions and Relevance: In this study, open defecation and lack of boiled or filtered drinking water were inversely associated with height-for-age measures across all ages in children and adolescents in India. Improved sanitation may benefit growth among children and adolescents older than 5 years.