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Opioid overdose events and deaths have become a serious public health crisis in the United States, and understanding the spatiotemporal evolution of the disease occurrences is crucial for developing effective prevention strategies, informing health systems policy and planning, and guiding local responses. However, current research lacks the capability to observe the dynamics of the opioid crisis at a fine spatial-temporal resolution over a long period, leading to ineffective policies and interventions at the local level. This paper proposes a novel regionalized sequential alignment analysis using opioid overdose events data to assess the spatiotemporal similarity of opioid overdose evolutionary trajectories within regions that share similar socioeconomic status. The model synthesizes the shape and correlation of space-time trajectories to assist space-time pattern mining in different neighborhoods, identifying trajectories that exhibit similar spatiotemporal characteristics for further analysis. By adopting this methodology, we can better understand the spatiotemporal evolution of opioid overdose events and identify regions with similar patterns of evolution. This enables policymakers and health researchers to develop effective interventions and policies to address the opioid crisis at the local level. The proposed methodology provides a new framework for understanding the spatiotemporal evolution of opioid overdose events, enabling policymakers and health researchers to develop effective interventions and policies to address this growing public health crisis. • New framework for understanding spatiotemporal dynamic of opioid overdose evolution. • Identifies patterns and regions for effective crisis interventions. • Fills the gap in fine spatial-temporal resolution research. • Guides policymakers in addressing the opioid overdose crisis. [ABSTRACT FROM AUTHOR]

There has been a great deal of state-level legislative activity focused on immigration and immigrants over the past decade in the United States. Some policies aim to improve access to education, transportation, benefits, and additional services while others constrain such access. From a social determinants of health perspective, social and economic policies are intrinsically health policies, but research on the relationship between state-level immigration-related policies and Latino health remains scarce. This paper summarizes the existing evidence about the range of state-level immigration policies that affect Latino health, indicates conceptually plausible but under-explored relationships between policy domains and Latino health, traces the mechanisms through which immigration policies might shape Latino health, and points to key areas for future research. We examined peer-reviewed publications from 1986 to 2016 and assessed 838 based on inclusion criteria; 40 were included for final review. These 40 articles identified four pathways through which state-level immigration policies may influence Latino health: through stress related to structural racism; by affecting access to beneficial social institutions, particularly education; by affecting access to healthcare and related services; and through constraining access to material conditions such as food, wages, working conditions, and housing. Our review demonstrates that the field of immigration policy and health is currently dominated by a “one-policy, one-level, one-outcome” approach. We argue that pursuing multi-sectoral, multi-level, and multi-outcome research will strengthen and advance the existing evidence base on immigration policy and Latino health. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to investigate the effects of state-level Earned Income Tax Credit (EITC) laws in the U.S. on maternal health behaviors and infant health outcomes. Using multi-state, multi-year difference-in-differences analyses, we estimated effects of state EITC generosity on maternal health behaviors, birth weight and gestation weeks. We find little difference in maternal health behaviors associated with state-level EITC. In contrast, results for key infant health outcomes of birth weight and gestation weeks show small improvements in states with EITCs, with larger effects seen among states with more generous EITCs. Our results provide evidence for important health benefits of state-level EITC policies. [ABSTRACT FROM AUTHOR]

Socioeconomic inequalities in childhood Body Mass Index (BMI) are becoming increasingly more pronounced across the world. Although countries differ in the direction and strength of these inequalities, cross-national comparative research on this topic is rare. This paper draws on harmonized longitudinal cohort data from four wealthy countries—Germany, the Netherlands, the United Kingdom (UK), and the United States (US)—to 1) map cross-country differences in the magnitude of socioeconomic inequalities in childhood BMI, and 2) to examine cross-country differences in the role of three energy-balance-related behaviors—physical activity, screen time, and breakfast consumption—in explaining these inequalities. Children were aged 5–7 at our first timepoint and were followed up at age 8–11. We used data from the German National Educational Panel Study, the Dutch Generation R study, the UK Millennium Cohort Study and the US Early Childhood Longitudinal-Kindergarten Study. All countries revealed significant inequalities in childhood BMI. The US stood out in having the largest inequalities. Overall, inequalities between children with low versus medium educated parents were smaller than those between children with high versus medium educated parents. The role of energy-balance-related behaviors in explaining inequalities in BMI was surprisingly consistent. Across countries, physical activity did not, while screen time and breakfast consumption did play a role. The only exception was that breakfast consumption did not play a role in the US. Cross-country differences emerged in the relative contribution of each behavior in explaining inequalities in BMI: Breakfast consumption was most important in the UK, screen time explained most in Germany and the US, and breakfast consumption and screen time were equally important in the Netherlands. Our findings suggest that what constitutes the most effective policy intervention differs across countries and that these should target both children from medium as well as low educated families. • All countries showed substantial socioeconomic inequalities in childhood BMI. • In all countries, inequalities in BMI steepen over course of primary school. • Protective factors among the most advantaged seem to mainly drive inequalities. • Across most countries, underlying mechanisms for inequalities in BMI are similar. • The relative contribution of each mechanism to BMI inequalities differs per country. [ABSTRACT FROM AUTHOR]