Search

Suicide rates in the United States have increased over the past 15 years, with substantial geographic variation in these increases; yet there have been few attempts to cluster counties by the magnitude of suicide rate changes according to intercept and slope or to identify the economic precursors of increases. We used vital statistics data and growth mixture models to identify clusters of counties by their magnitude of suicide growth from 2008 to 2020 and examined associations with county economic and labor indices. Our models identified 5 clusters, each differentiated by intercept and slope magnitude, with the highest-rate cluster (4% of counties) being observed mainly in sparsely populated areas in the West and Alaska, starting the time series at 25.4 suicides per 100,000 population, and exhibiting the steepest increase in slope (0.69/100,000/year). There was no cluster for which the suicide rate was stable or declining. Counties in the highest-rate cluster were more likely to have agricultural and service economies and less likely to have urban professional economies. Given the increased burden of suicide, with no clusters of counties improving over time, additional policy and prevention efforts are needed, particularly targeted at rural areas in the West., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

•Rural residence is associated with allostatic load levels by age groups.•Allostatic load is higher among rural adults with the exception of the oldest age group.•Evidence of a rural-urban convergence in allostatic load levels among oldest old.•These rural disadvantages remained strong even when accounting for covariates.•The study of allostatic load can improve our understanding of rural disparities., Competing Interests: The author has no relevant financial or non-financial interests to disclose., (© 2023 The Authors.)

Tertiary to home and work, "third places" serve as opportunity structures that transmit information and facilitate social capital and upward mobility. However, third places may be inequitably distributed, thereby exacerbating disparities in social capital and mobility. The authors use tract-level data from the National Neighborhood Data Archive to examine the distribution of third places across the United States. There were significant disparities in the availability of third places. Higher poverty rates were associated with fewer third places. Tracts with the smallest shares of Black and Hispanic populations had comparatively more third places. However, this racial disadvantage was not linear, suggesting potential buffering effects in places with the largest shares of Black and Hispanic populations. There was also a rural disadvantage, except in the most isolated rural tracts. This study demonstrates the value of conceptualizing and measuring third places to understand sociospatial disparities in the availability of these understudied opportunity structures.

Descriptions of the contemporary U.S. opioid crisis emphasize several "waves" of overdose deaths. However, a focus on trends in overdose deaths may obscure important sociological dynamics. The authors provide heatmap visualizations of estimated annual rates of past-year substance use, rather than overdose deaths, for prescription pain relievers and heroin. These visualizations are based on weighted analyses of self-reports, cross-classified by age and period, collected as part of the National Survey on Drug Use and Health from 2002 to 2017. Whereas descriptions of the U.S. opioid crisis tend to focus on period dynamics, these visualizations indicate that cohort patterns of drug use are also evident in addition to well-known age variation. A substantive focus on cohort patterns highlights the possibility that cohorts of people who use drugs may remain at risk for overdose in the years to come. These findings suggest that policies aimed only at restricting opioid availability may have limited effects.

This paper uses data from the Program for the International Assessment of Adult Competencies (PIAAC) to analyze the relationship between self-reported health (SRH) and literacy and numeracy proficiency for immigrants compared to U.S.-born respondents and for Hispanic versus Asian immigrants. The research questions were: (1) Are literacy and numeracy scores associated with adults' SRH? (2) Are associations between SRH and literacy and numeracy proficiency moderated by immigrant status? (3) Among immigrants, are literacy and numeracy scores more strongly associated with SRH for Hispanics versus Asians? Immigrants had significantly lower literacy and numeracy scores, yet reported better health than U.S.-born respondents. Ordinal logistic regression analyses showed that literacy and numeracy were both positively related to SRH for immigrants and U.S.-born adults, and should therefore be viewed as part of the growing evidence that literacy is an independent and significant social determinant of health. Second, U.S.-born and immigrant adults accrued similarly positive health benefits from stronger literacy and numeracy skills. Third, although Hispanic immigrants were more disadvantaged than Asian immigrants on almost all socioeconomic characteristics and had significantly lower literacy and numeracy scores and worse SRH than Asian immigrants, both Hispanic and Asian immigrants experienced similar positive health returns from literacy and numeracy proficiency. These findings underscore the potential health benefits of providing adult basic education instruction, particularly for immigrants with the least formal schooling and fewest socioeconomic resources.