Gentrification may play an important role in influencing health outcomes, but few studies have examined these associations. One major barrier to producing empirical evidence to establish this link is that there is little consensus on how to measure gentrification. To address this barrier, we compared three gentrification classification methodologies in relation to their ability to identify neighborhood gentrification in nine San Francisco Bay Area counties: the Freeman method, the Landis method, and the Urban Displacement Project (UDP) Regional Early Warning System. In the 1580 census tracts, 43% of the population had a bachelor’s degree or higher. The average median household income was $79,671 in 2013. A comparison of gentrification methodologies revealed that the Landis and Freeman methodologies characterized the vast majority of census tracts as stable, and only 5.2% and 6.1% of tracts as gentrifying. UDP characterized 46.7% of tracts at risk, undergoing, or experiencing advanced stages of gentrification and displacement. There was substantial variation in the geographic location of tracts identified as gentrifying across methods. Given the variation in characterizations of gentrification across measures, studies evaluating associations between gentrification and health should consider using multiple measures of gentrification to examine the robustness of the study findings across measures.

Engaging in regular physical activity reduces one’s risk of chronic disease, stroke, cardiovascular disease, and some forms of cancer. These preventive benefits associated with physical activity are of particular importance for men, who have shorter life expectancy and experience higher rates of chronic diseases as compared to women. Studies at the community and national levels have found that social and environmental factors are important determinants of men’s physical activity, but little is known about how regional influences affect physical activity behaviors among men. The objective of this study is to examine the association between geographic region and physical activity among men in the United States, and to determine if there are racial/ethnic differences in physical activity within these geographic regions. Cross-sectional data from men who participated the 2000 to 2010 National Health Interview Survey (N = 327,556) was used. The primary outcome in this study was whether or not men had engaged in sufficient physical activity to receive health benefits, defined as meeting the 2008 Physical Activity Guidelines for Americans. Race/ethnicity and geographic region were the primary independent variables. Within every region, Hispanic and Asian men had lower odds of engaging in sufficient physical activity compared to white men. Within the Northeast, South, and West, black men had lower odds of engaging in sufficient physical activity compared to white men. The key findings indicate that the odds of engaging in sufficient physical activity among men differ significantly between geographic regions and within regions by race/ethnicity.

This study aims to identify perceived impacts of Health Impact Assessment (HIA) on decision-making, determinants of health, and determinants of health equity and outline the mechanisms through which these impacts can occur. The research team conducted a mixed-methods study of HIAs in the USA. First, investigators collected data regarding perceived HIA impacts through an online questionnaire, which was completed by 149 stakeholders representing 126 unique HIAs. To explore in greater depth the themes that arose from the online survey, investigators conducted semi-structured interviews with 46 stakeholders involved with 27 HIAs related to the built environment. This preliminary study suggests that HIAs can strengthen relationships and build trust between community and government institutions. In addition, this study suggests that HIA recommendations can inform policy and decision-making systems that determine the distribution of health-promoting resources and health risks. HIA outcomes may in turn lead to more equitable access to health resources and reduce exposure to environmental harms among at-risk populations. Future research should further explore associations between HIAs and changes in determinants of health and health equity by corroborating findings with other data sources and documenting potential impacts and outcomes of HIAs in other sectors.

Please note that the correct name of the penultimate author of this article is "Arielle McInnis-Simoncelli", not "Arielle Mc-Innis Simoncelli" as presented in the article as originally published. The original article has been corrected.