Reproductive and Social Policies, Sociopolitical Stress, and Implications for Maternal and Child Health Equity.

PURPOSE OF REVIEW: Although many environmental exposures (e.g., air pollution) are geographically patterned and persist as a result of historic economic policies (e.g., redlining), the impact of reproductive and social policies on maternal and child health remains incompletely understood. Reproductive and social policies are increasingly important for maternal and child health equity, particularly following the 2022 US Supreme Court decision in Dobbs v Jackson Women's Health Organization ("Dobbs decision"), which restricted access to abortion. Here, we summarize the literature from original research studies examining influences of reproductive and social policy on maternal and child health, focusing on impacts on adverse birth outcomes and policies as sources of stress. RECENT FINDINGS: Several studies suggest that those most impacted by the Dobbs decision are younger, non-white, socioeconomically disadvantaged, and living in states with less access to government safety net programs, all of which are compounded by environmental injustices. Further, studies conducted in the wake of the Dobbs decision find elevated stress levels among women of reproductive age. This may represent one pathway leading to adverse birth outcomes, as epidemiologic studies demonstrate that preterm birth rates increased following the 2016 election, a period of heightened stress. Reproductive and social policies are understudied contributors to adverse outcomes for reproductive-aged women and their children. This has important implications for maternal and child health equity, as those who will be the most impacted by reproductive and social policies already experience the highest rates of adverse birth outcomes and environmental toxicant exposure.

U.S. global health aid policy and family planning in sub-Saharan Africa.

The Trump administration reinstated and expanded the Mexico City Policy (MCP) in 2017 as the Protecting Life in Global Health Assistance (PLGHA) policy, forbidding international organizations receiving all U.S. health assistance from promoting abortion. Existing evidence suggests that abortion rates rise under the MCP, but the direct effect of U.S. funding restrictions on supply and use of family planning has received less attention. By studying PLGHA's impact on health service delivery providers and women in eight sub-Saharan African countries, we are able to fill this gap. We find that health facilities provide fewer family planning services, including emergency contraception, and that women are less likely to use contraception and more likely to have given birth recently under the policy. These findings suggest that PLGHA has important unintended consequences that are detrimental to reproductive health and the autonomous decision-making of health service providers and women.

Investigating the relationship between growing season quality and childbearing goals.

Agricultural production and household food security are hypothesized to play a critical role connecting climate change to downstream effects on women's health, especially in communities dependent on rainfed agriculture. Seasonal variability in agriculture strains food and income resources and makes it a challenging time for households to manage a pregnancy or afford a new child. Yet, there are few direct assessments of the role locally varying agricultural quality plays on women's health, especially reproductive health. In this paper we build on and integrate ideas from past studies focused on climate change and growing season quality in low-income countries with those on reproductive health to examine how variation in local seasonal agricultural quality relates to childbearing goals and family planning use in three countries in sub-Saharan Africa: Burkina Faso, Kenya, and Uganda. We use rich, spatially referenced data from the Performance Monitoring for Action (PMA) individual surveys with detailed information on childbearing preferences and family planning decisions. Building on recent advances in remote monitoring of seasonal agriculture, we construct multiple vegetation measures capturing different dimensions of growing season conditions across varying time frames. Results for the Kenya sample indicate that if the recent growing season is better a woman is more likely to want a child in the future. In Uganda, when the growing season conditions are better, women prefer to shorten the time until their next birth and are also more likely to discontinue using family planning. Additional analyses reveal the importance of education and birth spacing in moderating these findings. Overall, our findings suggest that, in some settings, women strategically respond to growing season conditions by adjusting fertility aspirations or family planning use. This study also highlights the importance of operationalizing agriculture in nuanced ways that align with women's lives to better understand how women are impacted by and respond to seasonal climate conditions.

Scalable deep learning to identify brick kilns and aid regulatory capacity.

Improving compliance with environmental regulations is critical for promoting clean environments and healthy populations. In South Asia, brick manufacturing is a major source of pollution but is dominated by small-scale, informal producers who are difficult to monitor and regulate-a common challenge in low-income settings. We demonstrate a low-cost, scalable approach for locating brick kilns in high-resolution satellite imagery from Bangladesh. Our approach identifies kilns with 94.2% accuracy and 88.7% precision and extracts the precise GPS coordinates of every brick kiln across Bangladesh. Using these estimates, we show that at least 12% of the population of Bangladesh (>18 million people) live within 1 km of a kiln and that 77% and 9% of kilns are (illegally) within 1 km of schools and health facilities, respectively. Finally, we show how kilns contribute up to 20.4 µg/[Formula: see text] of [Formula: see text] (particulate matter of a diameter less than 2.5 µm) in Dhaka when the wind blows from an unfavorable direction. We document inaccuracies and potential bias with respect to local regulations in the government data. Our approach demonstrates how machine learning and Earth observation can be combined to better understand the extent and implications of regulatory compliance in informal industry.

USA aid policy and induced abortion in sub-Saharan Africa: an analysis of the Mexico City Policy.

BACKGROUND: The Mexico City Policy, first announced by US President Ronald Reagan and since lifted and reinstated by presidents along partisan lines, prohibits US foreign assistance to any organisation that performs or provides counselling on abortion. Many organisations affected by this policy are also providers of modern contraception. If the policy reduces these organisations' ability to supply modern contraceptives, it could have the unintended consequence of increasing abortion rates. METHODS: We empirically examined patterns of modern contraception use, pregnancies, and abortion among women in 26 countries in sub-Saharan Africa in response to the reinstatement and subsequent repeal of the Mexico City Policy across three presidential administrations (William Clinton, George W Bush, and Barack Obama). We combine individual-level data on pregnancies and abortions from 743 691 women, country-year data on modern contraception use, and annual data on development assistance for family planning and reproductive health in a difference-in-difference framework to examine relative changes in use of modern contraception, pregnancy, and abortion in response to the policy. FINDINGS: We found that when the Mexico City Policy was in effect (2001-08), abortion rates rose among women in countries highly exposed to the policy by 4·8 abortions per 10 000 woman-years (95% CI 1·5 to 8·1, p=0·0041) relative to women in low-exposure countries and relative to periods when the policy was rescinded in 1995-2000 and 2009-14, a rise of approximately 40%. We found a symmetric reduction in use of modern contraception by 3·15 percentage points (relative decrease of 13·5%; 95% CI -4·9 to -1·4; p=0·0006) and increase in pregnancies by 3·2 percentage points (relative increase of 12%; 95% CI 1·6 to 4·8; p<0·0001) while the policy was enacted. INTERPRETATION: Our findings suggest that curbing US assistance to family planning organisations, especially those that consider abortion as a method of family planning, increases abortion prevalence in sub-Saharan African countries most affected by the policy. FUNDING: The William and Flora Hewlett Foundation, the Doris Duke Charitable Foundation, the David and Lucile Packard Foundation, and the Stanford Earth Dean's Fellowship.

Piloting improved cookstoves in India.

Despite the potential of improved cookstoves to reduce the adverse environmental and health impacts of solid fuel use, their adoption and use remains low. Social marketing-with its focus on the marketing mix of promotion, product, price, and place-offers a useful way to understand household behaviors and design campaigns to change biomass fuel use. We report on a series of pilots across 3 Indian states that use different combinations of the marketing mix. We find sales varying from 0% to 60%. Behavior change promotion that combined door-to-door personalized demonstrations with information pamphlets was effective. When given a choice amongst products, households strongly preferred an electric stove over improved biomass-burning options. Among different stove attributes, reduced cooking time was considered most valuable by those adopting a new stove. Households clearly identified price as a significant barrier to adoption, while provision of discounts (e.g., rebates given if households used the stove) or payments in installments were related to higher purchase. Place-based factors such as remoteness and nongovernmental organization operations significantly affected the ability to supply and convince households to buy and use improved cookstoves. Collectively, these pilots point to the importance of continued and extensive testing of messages, pricing models, and different stove types before scale-up. Thus, we caution that a one-size-fits-all approach will not boost improved cookstove adoption.