Over the past two decades, there has been an explosion of empirical research on neighborhoods and health. However, although the data and approaches owe much to the early contributions of demographers and population scientists, this debt is largely unrecognized. Likewise, challenges posed in the early literature remain largely unanswered. I argue that just as demographers and population scientists were pioneers in the study of neighborhoods and health, they are uniquely poised to lead the field again. Putting people into place means explaining behavior and outcomes in relation to a potentially changing local context. A more dynamic conceptualization is needed that fully incorporates human agency, integrates multiple dimensions of local social and spatial context, develops the necessary longitudinal data, and implements appropriate tools. Diverse approaches with complementary strengths will help surmount the many analytic challenges to studying the dynamics of neighborhoods and health, including agent-based microsimulation models.

This paper blends quantitative with qualitative data in an investigation of community and contraceptive choice in Nang Rong, Thailand. Specifically, it develops an explanation of 1) method dominance within villages, coupled with 2) marked differences between villages in the popularity of particular methods. The quantitative analysis demonstrates the importance of village location and placement of family planning services for patterns of contraceptive choice. The qualitative data provide a complementary perspective, emphasizing the importance of social as well as physical space and giving particular attention to the structure of conversational networks.

Social determinants are structures and conditions in the biological, physical, built, and social environments that affect health, social and physical functioning, health risk, quality of life, and health outcomes. The adoption of recommended, standard measurement protocols for social determinants of health will advance the science of minority health and health disparities research and provide standard social determinants of health protocols for inclusion in all studies with human participants. A PhenX (consensus measures for Phenotypes and eXposures) Working Group of social determinants of health experts was convened from October 2018 to May 2020 and followed a well-established consensus process to identify and recommend social determinants of health measurement protocols. The PhenX Toolkit contains data collection protocols suitable for inclusion in a wide range of research studies. The recommended social determinants of health protocols were shared with the broader scientific community to invite review and feedback before being added to the Toolkit. Nineteen social determinants of health protocols were released in the PhenX Toolkit (https://www.phenxtoolkit.org) in May 2020 to provide measures at the individual and structural levels for built and natural environments, structural racism, economic resources, employment status, occupational health and safety, education, environmental exposures, food environment, health and health care, and sociocultural community context. Promoting the adoption of well-established social determinants of health protocols can enable consistent data collection and facilitate comparing and combining studies, with the potential to increase their scientific impact.

Climate change will alter patterns of land use, but its effects may also change social organization at multiple levels. This article proposes a spatially explicit agent-based model of migration land use to explore the dynamics of response to floods and droughts in Nang Rong, Thailand to explore this possibility.Within an environmental setting of marginality, villages and households vary in their vulnerability. The model integrates multiple inter-related units: individuals, land parcels, households, subfamilies, social networks, and communities. The inclusion of explicit social networks as resources to be mobilized is an especially innovative element. This article uses the language of mathematics and statistics to describe the model under construction and facilitate comparisons with other spatially explicit agent-based models.

Do life course events stimulate migration during the transition to adulthood? We identify nine specific life events in the family, education, and employment domains and test whether they lead to migration in the short term, using fixed-effects models that remove the influence of all stable individual-level characteristics and controlling for age. Marital and school completion events have substantively large effects on migration compared with individual work transitions, although there are more of the latter over the young adult years. Furthermore, young adults who are white and from higher class backgrounds are more likely to migrate in response to life events, suggesting that migration may be a mechanism for the reproduction of status attainment. Overall, the results demonstrate a close relationship between life course events and migration and suggest a potential role for migration in explaining the effect of life course events on well-being and behavior.