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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.Nutrition, Diets, and Health (NDH); Food and Nutrition Polic
Demand-side and supply-side factors for accelerating varietal turnover in smallholder soybean farms
The rapid growth of soybean cultivation in the world augurs well for achieving SDG2 of promoting sustainable agriculture, ending hunger, achieving food security, and improving nutrition. India started promoting soybean cultivation in the 1970s to combat dietary protein deficiencies and augment smallholders' incomes. However, soybean yield remains low and plateaued at one ton per hectare for the past three decades. This paper leverages a large primary dataset and explores the speed of soybean varietal change by applying survival functions and analyzing determinants of varietal turnover time employing a dynamic framework and harnessing duration analysis. The results show that adopting leading soybean varieties has reached saturation and that policy intervention can have an immediate impact. The weighted average age of soybean varieties in farmers' fields is relatively high at 16 years, implying a slower varietal change rate. The lack of improved varieties with desirable traits, poor information flow, and growers’ preference for traits beyond yield-hamper faster varietal substitution. Further, analysis indicates regional variations in driving the speed of varietal replacement. The findings have significant implications for spurring soybean yields through investments in varietal development, leveraging modern molecular methods for long juvenility and photo-insensitivity, disseminating information, and institutional changes enabling the private sector participation in crop breeding.Development Strategies and Governance (DSG); Transformation Strategie
Centering context when characterizing food environments: The potential of participatory mapping to inform food environment research
Food environments are a critical place within the food system to implement interventions aimed at enabling sustainable diets. In this perspective article, we argue for the need for food environment research to more comprehensively examine the different types of food environments that people access within their communities to ensure that interventions and programs are better aligned with people’s lived experiences. We highlight the potential ways in which participatory mapping (PM) can be leveraged to better design food environment research by: (1) identifying the different food environment types that are accessed within a given community; (2) providing insight into the timing for data collection; (3) informing the prioritization of where to conduct food environment assessments; and (4) highlighting the dynamism of food environments over time (e.g., across a given day or across seasons). We provide a case study example of the application of PM and the lessons learned from it in Cambodia. By conceptualizing food environments in a more comprehensive way, from the perspective of the people living within a given community, we will be able to measure food environments in a way that more closely aligns with people’s lived experiences.Nutrition, Diets, and Health (NDH); Food and Nutrition Polic
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.Nutrition, Diets, and Health (NDH); Development Strategies and Governance (DSG
Revisiting development strategy under climate uncertainty: case study of Malawi
This paper analyzes the effectiveness of agriculture-led versus non-agriculture-led development strategies under climate-induced economic uncertainty. Utilizing Malawi as a case study, we introduce the application of Stochastic Dominance (SD) analysis, a tool from decision analysis theory, and compare the two strategies in the context of weather/climate-associated economic uncertainty. Our findings suggest that an agriculture-led development strategy consistently surpasses its non-agriculture-led antagonist in poverty and undernourishment outcomes across almost all possible weather/climate scenarios. This underscores that, despite increasing exposure of the entire economy to weather/climate uncertainty, agriculture-led development remains the optimal strategy for Malawi to reduce poverty and undernourishment. The study also endorses the broader use of SD analysis in policy planning studies, promoting its potential to integrate risk and uncertainty into policymaking.Foresight and Policy Modeling (FPM); Transformation Strategie
Understanding differential reductions in undernutrition among districts in Rwanda through the perspectives of mid‐level and community actors on policy commitment and policy coherence
Understanding the drivers of improvements in child undernutrition at only the national level can mask subnational differences. This paper aimed to understand the contributions of factors in the enabling environment to observed differences in stunting reduction between districts in Rwanda. In 2017, we conducted 58 semi-structured interviews with mid-level actors (n = 38) and frontline workers (n = 20) implementing Rwanda's multi-sectoral nutrition policy in five districts in which stunting decreased (reduced districts) and five where it increased or stagnated (non-reduced districts) based on Rwanda's 2010 and 2014/15 Demographic and Health Surveys. Mid-level actors are government officials and service providers at the subnational level who represent the frontline of government policy. Interviews focused on political commitment to and policy coherence in nutrition, and contributors to nutrition changes. Responses were coded to capture themes on the changes and challenges of these topics and compared between reduced and non-reduced districts. Descriptive statistics described district characteristics. Political commitment to nutrition was high in both reduced and non-reduced districts. Respondents from reduced districts were more likely to define commitment to nutrition as an optimal implementation of policy, whereas those from non-reduced districts focused more on financial commitment. Regarding coherence, respondents from reduced compared to non-reduced districts were more likely to report the optimal implementation of multi-sectoral nutrition planning meetings, using data to assess plans and progress in nutrition outcomes and integration of nutrition into the agriculture sector. In contrast, respondents from non-reduced districts more often reported challenges in their relationships with national-level stakeholders and nutrition and/or monitoring and evaluation capacities. Enhancing the integration of nutrition in different sectors and improving mid-level actors' capacity to plan and advocate for nutrition programming may contribute to reductions in stunting.Voice for Change PartnershipNutrition, Diets, and Health (NDH
Oilseed crop production: Findings from the Myanmar Agriculture Performance Survey
MyanmarSSPDevelopment Strategies and Governance (DSG); Transformation Strategie
Agricultural value chain finance with four actors: Advantages and disadvantages
Smallholder farmers in low- and middle-income countries (LMICs) face multiple constraints that often constrain them against participating in the production of high value products. Even where it is agroeco logically possible or even advantageous to produce specific products, smallholders may lack knowledge about how to grow those products and may also lack market information for those products. As smallholders typically lack access to formal financial institutions, their ability to borrow, save, or in sure against risks associated with growing those products is limited. These challenges combine to make it difficult for smallholders to participate in markets that could increase their incomes.Non-PRMarkets, Trade, and Institutions (MTI); Food and Nutrition Polic
Papua New Guinea rural household survey (2023): Synopsis of selected results
From May to December 2023, IFPRI implemented the 2023 PNG Rural Household Survey which was designed to understand rural livelihoods and welfare across different areas of PNG (Schmidt et al., 2024). Given the rural nature of the survey sample, almost all surveyed households depend on their own-farm production (predominantly starchy roots and tubers) to meet daily caloric needs. On average, households reported utilizing about 1.6 hectares of land for agriculture cultivation at the time of the survey. The survey collected a detailed account of the quantity of food types consumed by the household in order to estimate the average caloric intake per adult equivalent. Comparing the estimated caloric intake reported by surveyed households, with a recommended calorie intake suggests that only 45 per cent of individuals in surveyed households meet the recommended daily caloric intake for a lightly active individual. The survey also collected anthropometry data for children under five years of age and found that 36 percent of surveyed children were stunted in their growth. The 2023 Rural Household Survey represents an important effort in collecting a wide breadth of information about rural livelihoods. However, greater investments of in-depth data collection and analysis should be undertaken to examine specific components of PNG household livelihood strategies.PNGSSPDevelopment Strategies and Governance (DSG
The agrifood system in PNG: Structure and drivers of transformation
Although the economy of Papua New Guinea is heavily influenced by the oil and natural gas sector, which accounts for 30 percent of GDP and most of the country’s foreign exchange earnings, small-scale agriculture continues to be the major source of livelihoods for most of the population. Much of the food crop production (particularly starchy staples such as sweet potatoes, cassava, yams and sago) is not traded internationally; however, oil palm, coffee and cocoa are major exports. A large share of agricultural production undergoes little value-added through processing and much of it is consumed by farm households themselves. Thus, there would appear to be substantial scope for increases in employment and incomes through further development of the broader agrifood system, including agroprocessing, trade and transport, and food services.Foresight and Policy Modeling (FPM); Development Strategies and Governance (DSG