Declining Life Expectancy in the United States: Missing the Trees for the Forest

Long-term Economic Distress and Growing Educational Inequity in Life Expectancy

BACKGROUND

The nature and timing of increasing educational inequity in US life expectancy before the coronavirus disease 2019 pandemic suggest that long-term adverse labor market conditions secondary to globalization and technological change played a role for less-educated workers, but this has not been tested.

METHODS

We exploit spatiotemporal variation in mortality and long-term economic conditions at the year and commuting zone level to estimate the relationship between macroeconomic restructuring and diverging mortality trends, 1990-2017, by race, sex, and education. Our measure of macroeconomic restructuring is based on the baseline industrial mix of an area, a measure that is plausibly exogenous to mortality.

RESULTS

Mortality trends were substantially worse in commuting zones experiencing long-term economic stagnation than in others. For both White and Black adults, this relationship was strongest in the lowest quartile of the education distribution. Residence in commuting zones in the top quartile of our measure of economic conditions was associated with an additional 1-2 years lived between ages 25 and 84 compared with living in a commuting zone in the bottom quartile. The primary mediators of these divergent mortality trends were cancer, cardiovascular and metabolic diseases, and diseases of other internal body systems. Deaths from suicide or substance abuse did not contribute importantly toward accounting for the estimated impact of long-term economic stagnation on mortality.

CONCLUSION

In our study, diverging trends in US life expectancy were associated with macroeconomic changes witnessed over the last half-century. The causes of death mediating this link were largely found in rates of death from stress-related internal diseases.

Identifying the Changing Landscape of Younger Adult Mortality in the United States from 1999 to 2021

PURPOSE

To evaluate temporal trends and drivers of mortality among younger adults (aged 18-39), from 1999 to 2021.

METHODS

Observational study using nationally representative United States mortality data from 1999 to 2021, acquired via the US Centers for Disease Control Wide-ranging Online Data for Epidemiologic Research database. Exposure of interest was cause of death. Primary outcomes were population-level mortality rates and percent increase from 1999 to 2021. Secondary outcomes were cause-specific and subgroup-specific (sex, race, ethnicity) mortality rates and percent increases.

RESULTS

From 1999 to 2021, US younger adults aged 18-39 experienced a 54.1% increase in annual mortality (from 113.4 deaths per 100,000 in 1999 to 174.7 deaths per 100,000 in 2021; Cochran-Armitage p < .0001). Before COVID, from 1999 to 2019, younger adults experienced a 10.8% increase in mortality, compared to a 1.5% increase among the broader US population. The top driver of increased younger adult mortality, from 1999 through 2021, was accidental poisoning and exposure to noxious substances. Mortality trends varied by demographic variables with notable increases among American Indian/Alaskan Native Americans.

DISCUSSION

US younger adults are suffering from rising premature mortality. Resources should be calibrated to better support this generation.

Research Note: Does Despair in Young Adulthood Predict Mortality?

The trend of increasing U.S. working-age (25-64) mortality is well-documented. Yet, our understanding of its causes is incomplete, and analyses are often limited to using population data with little information on individual behaviors and characteristics. One characterization of this trend centers on the role of despair as a catalyst for self-destructive behaviors that ultimately manifest in mortality from suicide and substance use. The role of despair in predicting mortality at the individual level has received limited empirical interrogation. Using Cox proportional hazards models with behavioral risk factors and latent variable measures of despair in young adulthood (ages 24-32 in 2008-2009) as focal predictors, we estimate subsequent mortality risk through 2022 (298 deaths among 12,277 individuals; 177,628 person-years of exposure). We find that suicidal ideation, suicide attempts, illegal drug use, and prescription drug abuse in young adulthood predict all-cause, suicide, and drug poisoning mortality. Notably, all four domains of despair (cognitive, emotional, biosomatic, and behavioral) and overall despair predict all-cause mortality and mortality from drug poisoning and suicide. This research note provides new empirical evidence regarding the relationship between individual despair and mortality, improving our understanding of the life course contributors to working-age mortality.

Court-mandated redistricting and disparities in infant mortality and deaths of despair

BACKGROUND

Health and health disparities vary substantially by geography, including geopolitical boundaries such as United States congressional districts. Every ten years congressional districts for the House of Representatives are redistricted, but occasionally the Courts step in and force states to redistrict gerrymandered congressional maps. Analyses of court mandated redistricting decisions often focus on the distribution of voters by political party and race, but less is known about how health and health disparities are distributed across congressional districts before and after redistricting. In this analysis, we examine how the magnitude of disparities varied between and within congressional districts in Pennsylvania, before and after the state Supreme Court of Pennsylvania's decision ordering a redistricting in 2018 that produced less politically gerrymandered districts.

METHODS

Using georeferenced vital statistics data from 2013-2015 (before the redistricting), we explore levels of and disparities in infant mortality rates (IMR) and deaths of despair (DoD) using boundaries from before (Congresses 113-115) and after (Congress 116) this redistricting.

RESULTS

Using consistent mortality data (2013-2015) and boundaries from before and after the 2018 redistricting, we find that after redistricting disparities in infant mortality and deaths of despair between congressional districts were slightly wider for all educational groups except for those with less than a high school degree, and slightly narrower for all racial-ethnic groups other than for Hispanic and non-Hispanic White populations, compared with before redistricting.

CONCLUSIONS

Understanding how disparities vary between and within districts after redistricting can inform our understanding of the relationships between geopolitical boundaries, election processes, and health disparities.

Detection of benzodiazepines in the unregulated drug supply using point of care and confirmatory drug checking technologies: A validation study

OBJECTIVE

Benzodiazepine adulteration in British Columbia's (BC) unregulated opioid supply has risen. Given the health risks associated with co-ingestion of opioids and benzodiazepines, accurate detection of benzodiazepines using point-of-care drug checking technologies is critical. This study aimed to validate the use of Fourier-transform infrared spectroscopy (FTIR) and benzodiazepine immunoassay strips compared to gold standard laboratory technologies.

METHODS

From October 2018 to November 2023, drug samples submitted to harm reduction sites in BC were analyzed using FTIR and benzodiazepine immunoassay strips. A subset of these samples was sent for confirmatory analysis using quantitative nuclear magnetic resonance spectroscopy, gas chromatography-mass spectrometry, and/or liquid chromatography-mass spectrometry. We calculated measures of diagnostic accuracy (e.g., sensitivity, specificity) for the point-of-care technologies.

RESULTS

Of 1922 samples with point-of-care and confirmatory results, 390 (20 %) tested positive for a benzodiazepine. FTIR sensitivity was 26 % (95 % confidence interval [CI]:21-30 %) and specificity was 99 % (95 % CI:99-100 %). Immunoassay strip sensitivity was 67 % (95 % CI:62-72 %) and specificity was 82 % (95 % CI:79-85 %), respectively. When FTIR and immunoassay strip results were combined, sensitivity was 75 % (95 % CI:70-79 %) and specificity was 82 % (95 % CI: 79-84 %). When etizolam was excluded, the sensitivity and specificity of immunoassay strips were 98 % (95 % CI:94-99 %) and 83 % (95 % CI:81-86 %), respectively.

CONCLUSIONS

FTIR did not consistently detect the presence of benzodiazepines and related compounds at point-of-care. However, sensitivity improved when FTIR was combined with immunoassay strips, underscoring the importance of using both technologies in tandem. As etizolam is not a true benzodiazepine, it poses considerable challenges using existing point-of-care drug checking technologies.

The mortality implications of a unionized career

An emerging literature has documented a wide range of protections and benefits that union membership provides for health and wellbeing. However, this literature primarily focuses on point-in-time associations between unionization and health, whereas the theoretical benefits of union membership should accrue over a long period of time through such mechanisms as predictable upward attainment and greater employment security. Moreover, studies have not examined union membership's association with mortality, a core health outcome in medical research. We build on recent research that examines the contributions of a unionized career to middle- and older-adulthood mortality using data from the Panel Study of Income Dynamics between 1969 and 2019. We track respondents born between 1935 and 1965 and predict mortality using discrete time hazard regression models. We find that more time spent in a union predicts lower rates of mortality, with an additional year as a union member decreasing the odds of mortality by about 1.5%. This magnitude is about half that of consistent attachment to paid employment. Moreover, we find that male, White, and less educated respondents were most protected by unionized careers, while union protection was found between ages 41 and 67. Our findings extend knowledge of the noneconomic consequences of union benefits and point to a source of emerging health disparities among older adults.

Ten Americas: a systematic analysis of life expectancy disparities in the USA

BACKGROUND

Nearly two decades ago, the Eight Americas study offered a novel lens for examining health inequities in the USA by partitioning the US population into eight groups based on geography, race, urbanicity, income per capita, and homicide rate. That study found gaps of 12·8 years for females and 15·4 years for males in life expectancy in 2001 across these eight groups. In this study, we aimed to update and expand the original Eight Americas study, examining trends in life expectancy from 2000 to 2021 for ten Americas (analogues to the original eight, plus two additional groups comprising the US Latino population), by year, sex, and age group.

METHODS

In this systematic analysis, we defined ten mutually exclusive and collectively exhaustive Americas comprising the entire US population, starting with all combinations of county and race and ethnicity, and assigning each to one of the ten Americas based on race and ethnicity and a variable combination of geographical location, metropolitan status, income, and Black-White residential segregation. We adjusted deaths from the National Vital Statistics System to account for misreporting of race and ethnicity on death certificates. We then tabulated deaths from the National Vital Statistics System and population estimates from the US Census Bureau and the National Center for Health Statistics from Jan 1, 2000, to Dec 31, 2021, by America, year, sex, and age, and calculated age-specific mortality rates in each of these strata. Finally, we constructed abridged life tables for each America, year, and sex, and extracted life expectancy at birth, partial life expectancy within five age groups (0-4, 5-24, 25-44, 45-64, and 65-84 years), and remaining life expectancy at age 85 years.

FINDINGS

We defined the ten Americas as: America 1-Asian individuals; America 2-Latino individuals in other counties; America 3-White (majority), Asian, and American Indian or Alaska Native (AIAN) individuals in other counties; America 4-White individuals in non-metropolitan and low-income Northlands; America 5-Latino individuals in the Southwest; America 6-Black individuals in other counties; America 7-Black individuals in highly segregated metropolitan areas; America 8-White individuals in low-income Appalachia and Lower Mississippi Valley; America 9-Black individuals in the non-metropolitan and low-income South; and America 10-AIAN individuals in the West. Large disparities in life expectancy between the Americas were apparent throughout the study period but grew more substantial over time, particularly during the first 2 years of the COVID-19 pandemic. In 2000, life expectancy ranged 12·6 years (95% uncertainty interval 12·2-13·1), from 70·5 years (70·3-70·7) for America 9 to 83·1 years (82·7-83·5) for America 1. The gap between Americas with the lowest and highest life expectancies increased to 13·9 years (12·6-15·2) in 2010, 15·8 years (14·4-17·1) in 2019, 18·9 years (17·7-20·2) in 2020, and 20·4 years (19·0-21·8) in 2021. The trends over time in life expectancy varied by America, leading to changes in the ordering of the Americas over this time period. America 10 was the only America to experience substantial declines in life expectancy from 2000 to 2019, and experienced the largest declines from 2019 to 2021. The three Black Americas (Americas 6, 7, and 9) all experienced relatively large increases in life expectancy before 2020, and thus all three had higher life expectancy than America 10 by 2006, despite starting at a lower level in 2000. By 2010, the increase in America 6 was sufficient to also overtake America 8, which had a relatively flat trend from 2000 to 2019. America 5 had relatively similar life expectancy to Americas 3 and 4 in 2000, but a faster rate of increase in life expectancy from 2000 to 2019, and thus higher life expectancy in 2019; however, America 5 experienced a much larger decline in 2020, reversing this advantage. In some cases, these trends varied substantially by sex and age group. There were also large differences in income and educational attainment among the ten Americas, but the patterns in these variables differed from each other and from the patterns in life expectancy in some notable ways. For example, America 3 had the highest income in most years, and the highest proportion of high-school graduates in all years, but was ranked fourth or fifth in life expectancy before 2020.

INTERPRETATION

Our analysis confirms the continued existence of different Americas within the USA. One's life expectancy varies dramatically depending on where one lives, the economic conditions in that location, and one's racial and ethnic identity. This gulf was large at the beginning of the century, only grew larger over the first two decades, and was dramatically exacerbated by the COVID-19 pandemic. These results underscore the vital need to reduce the massive inequity in longevity in the USA, as well as the benefits of detailed analyses of the interacting drivers of health disparities to fully understand the nature of the problem. Such analyses make targeted action possible-local planning and national prioritisation and resource allocation-to address the root causes of poor health for those most disadvantaged so that all Americans can live long, healthy lives, regardless of where they live and their race, ethnicity, or income.

FUNDING

State of Washington, Bloomberg Philanthropies, Bill & Melinda Gates Foundation.

Naloxone vending machines in county jail

INTRODUCTION

The overdose epidemic in the United States has intensified following the introduction of illicitly manufactured fentanyl to drug markets with recent estimates indicating 110,000 deaths in 2022 and longer-term trends adversely impacting national life expectancy. A period of incarceration has been identified as a critical touchpoint for overdose prevention given its strong association with risk of overdose. In this paper we describe efforts funded by the Centers for Disease Control and Prevention (CDC) Overdose Data to Action (OD2A) grant to design and implement naloxone vending machines that provide free naloxone within county jails to returning citizens and those visiting county jail facilities.

METHODS

This study utilized three sources of data. First, we describe the results of a pre-implementation survey administered by technical assistance providers to 18 jails across the state of Michigan. Second, among the 6 jail facilities that accepted a naloxone vending machine we examine administrative data from Michigan Department of Health and Human Services on naloxone orders to look at changes 6-months before and after implementation. Third and lastly, we conducted semi-structured interviews (N = 6) with jail administrators (i.e., County Sheriffs) on the barriers and facilitators to implementing a naloxone vending machine.

RESULTS

Six facilities indicated they would accept a vending machine to distribute free naloxone. Overall, the total number of naloxone box orders that were distributed across all jail sites increased by 63.5 % from 4104 boxes pre-naloxone vending machine to 6708 boxes post-naloxone vending machine implementation. Qualitative interviews revealed that prior naloxone distribution efforts and foundational knowledge about opioids, overdose, and naloxone emerged as facilitators for vending machine implementation.

CONCLUSION

This study illustrates the utility of policy-driven funding strategies aimed at mitigating accidental overdose deaths among a high-risk population while building community naloxone saturation efforts.

Unpacking occupational and sex divides to understand the moderate progress in life expectancy in recent years (France, 2010's)

PURPOSE

The growth in life expectancy (LE) slows down recently in several high-income countries. Among the underlying dynamics, uneven progress in LE across social groups has been pointed out. However, these dynamics has not been extensively studied, partly due to data limitations. In this paper, we explore this area for the 2010 decade using recent French data.

METHODS

We utilize the recent change in French census mortality follow-up data (EDP) and apply P-spline models to estimate LEs across five occupational classes (OCs) and indicators of lifespan heterogeneity (edagger) within these OCs, for seven triennial periods (2011-2013 to 2017-2019).

RESULTS

First, we found a similar ranking of OCs along the LE gradient over time and across sexes, from manual workers to higher-level OCs. Noteworthy, the lowest LE in women overlaps with the highest one in men drawing a sex-OC gradient. Second, we observe varying progress of LEs. In women, LE increases in higher-level OCs meanwhile it levels off in manual workers, so that the OCs gap widens (up to 3.4 years in 2017-2019). Conversely, in men LE stalls in higher-level OCs and increases in manual workers so that the gap, which is much larger than in women (+5.7 years in 2017-2019), is tending to narrow. Finally, the lifespan homogenizes in OCs only when LE is low.

CONCLUSION

Overall, the limited LE progress in France results from LE stalling in the middle of the sex-OC gradient, though LE increases at both ends. At the lower end, LE progress and lifespan homogenization suggest that laggards benefit recently improvements achieved earlier in other OCs. At the upper end, LE progress may come from a vanguard group within higher-lever OC, benefiting new sources of improvements. These findings underscore the need for further research to explore the diverse mortality dynamics coexisting in the current health landscape.

Heterogeneity in disparities by income in cardiovascular risk factors across 209 US metropolitan areas

Objective

The United States has a lower life expectancy and wider income inequality than its similarly developed counterparts, and disparities continue to widen. The objective of our study is to examine the heterogeneity of disparities by income in cardiovascular disease (CVD) risk factors among U.S. metropolitan areas.

Methods

Data was obtained from the Behavioral Risk Factor Surveillance System for 2012-2019. We used self-reported data for respondent characteristics and for CVD risk factors/prevalence, and on metropolitan-level demographic and socioeconomic characteristics. We computed the relative index of inequality (RII) for each outcome using a multilevel Poisson model, sequentially adjusted for age, sex, and race/ethnicity with a random slope for income. We also included interactions between income and the metropolitan-level variables.

Results

Our sample included 1.4 million participants from 209 metropolitan areas. All CVD risk factors and CVD demonstrated income-related disparities. There were no clear regional patterns for risk factors, though seven of the top 10 large metropolitan areas with the widest disparities in CVD prevalence were in the South. Improved socioeconomic conditions were associated with wider disparities in the five risk factors, and contextual variables explained almost half of the variability in income disparities in smoking, sedentarism, and obesity, even after adjusting for age, sex, and race/ethnicity.

Conclusions

This study found that CVD risk factors and prevalence in U.S. metropolitan areas have heterogeneous income disparities, especially in advantaged metropolitan areas. Further studies with improved data collection may shed more light into potential drivers of income-based disparities in cardiovascular risk.

Sociodemographic Factors Associated With Using eHealth for Information Seeking in the United States: Cross-Sectional Population-Based Study With 3 Time Points Using Health Information National Trends Survey Data

BACKGROUND

Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic.

OBJECTIVE

This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points.

METHODS

Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age.

RESULTS

For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking.

CONCLUSIONS

Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

Ranking Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006-2021

Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using nonparametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to U.S. period life tables for 2006-2021 reveals that, until 2014, more recent years generally dominate earlier years, implying improvement if longer lifespans that are less unequally distributed are considered better. Improvements were more pronounced for non-Hispanic Black and Hispanic individuals than for non-Hispanic White individuals. Since 2014, for all subpopulations-particularly Hispanics-earlier years often dominate more recent years, indicating worsening age-at-death distributions if shorter and more unequal lifespans are considered worse. Dramatic deterioration of the distributions in 2020-2021 during the COVID-19 pandemic is most evident for Hispanic individuals.

Relationships of State Alcohol Policy Environments With Homicides and Suicides

INTRODUCTION

Alcohol use is involved in a large proportion of homicides and suicides each year in the U.S., but there is limited evidence on how policies targeting alcohol influence violence in the U.S.

CONTEXT

Extant studies generally focus on individual policies in isolation of each other. This study examines the impacts of changes in states' alcohol policy restrictions on overall homicide and suicide rates and firearm-related homicide and suicide rates using a holistic measure of states' alcohol policy environments.

METHODS

Using a composite measure of state-level alcohol policies (Alcohol Policy Scale) and data from the National Vital Statistics System from 2002 to 2018, this study applied a Bayesian time series model to estimate the impacts of alcohol policy changes on overall and firearm-involved homicide and suicide rates. The analysis was performed in 2023 and 2024.

RESULTS

A 1 SD change in the Alcohol Policy Scale was associated with a 6% decline in homicide rates both overall (incident rate ratio=0.94; 95% credible interval = 0.89, 1.00) and for firearm homicides specifically (incident rate ratio=0.94, 95% CI=0.88, 1.01). There was no clear association of alcohol policy with suicides. The model predicts that a nationwide increase in alcohol restrictions equivalent to a shift from the 25th to 75th percentile of the scale's distribution would result in almost 1,200 fewer homicides annually.

CONCLUSIONS

Increases in the restrictiveness of state-level alcohol policies are associated with reductions in homicides. More restrictive alcohol policy environments may offer an opportunity to reduce homicides.

Impact of Cardiovascular and Cerebrovascular Diseases Mortality on Life Expectancy in Tianjin, 2004 and 2020

This study aimed to analyze the impact of cardiovascular and cerebrovascular diseases (CCVDs) mortality on Tianjin's life expectancy (LE) in 2004 compared with 2020 using Arriaga's decomposition method. The LE increment for Tianjin residents due to the decrease in CCVDs mortality was 1.54 years (38.7%). Males, females, urban residents, and rural residents contributed 1.29 years (36.83%), 1.76 years (40.25%), 2.11 years (44.41%), and 0.71 years (25.06%), respectively. A total of 38.2% of the LE increment was attributed to deaths from CCVDs in people aged ≥65 years. Cerebral infarction, intracerebral hemorrhage, acute myocardial infarction, and other heart diseases contributed positively to the increase in LE (24.8%, 22.68%, 16.66%, and 11.3%). Sequelae of cerebrovascular disease and other coronary heart diseases contributed negatively to the increase in LE (-25.2% and -17.92%). Therefore, we need to control the risk factors of the elderly, males, rural residents, sequelae of cerebrovascular disease, and other coronary heart diseases.

Suicides, drug poisonings, and alcohol-related deaths cluster with health and social disadvantage in 4.1 million citizens from two nations

BACKGROUND

Deaths from suicides, drug poisonings, and alcohol-related diseases ('deaths of despair') are well-documented among working-age Americans, and have been hypothesized to be largely specific to the U.S. However, support for this assertion-and associated policies to reduce premature mortality-requires tests concerning these deaths in other industrialized countries, with different institutional contexts. We tested whether the concentration and accumulation of health and social disadvantage forecasts deaths of despair, in New Zealand and Denmark.

METHODS

We used nationwide administrative data. Our observation period was 10 years (NZ = July 2006-June 2016, Denmark = January 2007-December 2016). We identified all NZ-born and Danish-born individuals aged 25-64 in the last observation year (NZ = 1 555 902, Denmark = 2 541 758). We ascertained measures of disadvantage (public-hospital stays for physical- and mental-health difficulties, social-welfare benefit-use, and criminal convictions) across the first nine years. We ascertained deaths from suicide, drugs, alcohol, and all other causes in the last year.

RESULTS

Deaths of despair clustered within a population segment that disproportionately experienced multiple disadvantages. In both countries, individuals in the top 5% of the population in multiple health- and social-service sectors were at elevated risk for deaths from suicide, drugs, and alcohol, and deaths from other causes. Associations were evident across sex and age.

CONCLUSIONS

Deaths of despair are a marker of inequalities in countries beyond the U.S. with robust social-safety nets, nationwide healthcare, and strong pharmaceutical regulations. These deaths cluster within a highly disadvantaged population segment identifiable within health- and social-service systems.

A Look Into How the "Blue Zone" Lifestyle May Affect Patients' Lives Before and After Hip Fracture: A Propensity-Matched Cohort Study

INTRODUCTION

Hip fractures are life-changing injuries with associated one-year mortality up to 30%. Five locations in the world have been termed "blue zones," where the longevity of the population is markedly higher than that of surrounding areas and there are 10 times more centenarians. The United States has one blue zone (Loma Linda, California), which is believed to be because of the lifestyle of the Seventh-day Adventist population living there. We hypothesized that patients from the blue zone experience low-energy, frailty-driven, osteoporotic hip fractures later in life and an increased postinjury longevity relative to non-blue zone control subjects.

METHODS

A review of patients treated for hip fracture between January 2010 and August 2020 from a single institution was conducted. Demographic data were collected, and the end point of mortality was assessed using death registry information, queried in April 2024. Groups were divided into blue zone and non-blue zone. Statistical analysis was conducted with P < 0.05 considered significant.

RESULTS

Complete data were available for 1,032 patients. The blue zone cohort sustained low-energy hip fractures 12 years later in life (83.2 versus 71.1, P < 0.01). Propensity score matching was used to account for this difference. After propensity score matching, age, body mass index, American Society of Anesthesiologists score, surgery performed, sex, mechanism, ethnicity, diabetes, chronic obstructive pulmonary disease, CHF, chronic kidney disease grade, dementia, surgical time, and drug/tobacco/marijuana use were similar between groups. Blue zone patients had lower mortality at both 1 and 2 years postoperatively (12% versus 24%, P = 0.03 and 20% versus 33%, P = 0.03, respectively), had more hypertension (76% versus 62%, P = 0.03), reported lower alcohol use (7% versus 20%, P < 0.01), and included more Seventh-day Adventists (64% versus 15%, P < 0.01).

CONCLUSION

The blue zone lifestyle affected the onset of frailty and delayed osteoporotic hip fracture by 12 years in this propensity-matched cohort study. Postoperative mortality was also markedly lower in the blue zone cohort.

Trends in Suicides and Homicides in 21st Century America

BACKGROUND

Violent deaths, including suicides and homicides, pose a significant public health challenge in the United States. Understanding the trends and identifying associated risk factors is crucial for targeted intervention strategies.

AIM

To examine the trends in suicides and homicides over the past two decades and identify demographic and contextual predictors using the Center for Disease Control and Prevention's Web-based Injury Statistics Query and Reporting System online database.

METHODS

A retrospective analysis of mortality records from 2000 to 2020 was conducted, utilizing multivariate regression analyses. Covariates included age, race, sex, education, mental health conditions, and time period. Age-adjusted rates were employed to assess trends.

RESULTS

Over the 20 years, there was an upward trajectory in suicide rates, increasing from approximately 10/100,000 to over 14/100,000 individuals, which is a notable increase among American Indians (100.8% increase) and individuals aged 25 years and younger (45.3% increase). Homicide rates, while relatively stable, exhibited a significant increase in 2019-2020, with African Americans consistently having the highest rates and a significant increase among American Indians (73.2% increase). In the multivariate regression analysis, Individuals with advanced education (OR= 1.74, 95% CI= 1.70 - 1.78), depression (OR = 13.47, 95% CI = 13.04 - 13.91), and bipolar disorder (OR = 2.65, 95% CI = 2.44 - 2.88) had higher odds of suicide. Risk factors for homicide include African Americans (OR = 4.15, 95% CI = 4.08 - 4.23), Latinx (OR = 2.31, 95% CI = 2.26 - 2.37), people aged 25 years and younger, and those with lower educational attainment.

CONCLUSION

This study highlights the changing demographic pattern in suicides and homicides in the United States and the need for targeted public health responses. Means restriction, universal suicide screening, addressing mental health stigma, and implementing broad interventions that modify societal attitudes toward suicide and homicides are essential components of a comprehensive strategy.

"Deaths of despair" over the business cycle: New estimates from a shift-share instrumental variables approach

This study presents new evidence of the effects of short-term economic fluctuations on suicide, fatal drug overdose, and alcohol-related mortality among working-age adults in the United States from 2003-2017. Using a shift-share instrumental variables approach, I find that a one percentage point increase in the aggregate employment rate decreases current-year non-drug suicides by 1.7 percent. These protective effects are concentrated among working-age men and likely reflect a combination of individual labor market experiences as well as the indirect effects of local economic growth. I find no consistent evidence that short-term business cycle changes affect drug or alcohol-related mortality. While the estimated protective effects are small relative to secular increases in suicide in recent decades, these findings are suggestive of important, short-term economic factors affecting specific causes of death and should be considered alongside the longer-term and multifaceted social, economic, and cultural determinants of America's "despair" epidemic.

Differences in Beliefs About Suicide by Occupation in a Representative Sample of Adults in the United States, General Social Survey 2002-2021

OBJECTIVE

Beliefs about suicide are important aspects of suicide prevention gatekeeper trainings. This study sought to determine if workers in finance- and legal/judicial-related industries have significantly different levels of suicide acceptability compared to the general US population.

METHOD

Cross-sectional data are from the 2002 to 2021 General Social Survey (GSS). Suicide acceptability was measured with four dichotomous items to which respondents indicated yes/no if they thought someone has the right to end their life in four negative life scenarios. Occupational categories were coded based on U.S. Census Bureau occupation and industry codes. Covariates for multiple logistic regression analyses included age, educational attainment, sex, race, ethnicity, survey year, and religiosity.

RESULTS

Among the 15,166 respondents, 651 people worked in finance-related occupations and 319 people worked in legal/judicial-related occupations. In adjusted models, people in finance-related occupations had greater odds of endorsing suicide as acceptable if one has an incurable disease (aOR = 1.25, 95%CI = 1.03-1.52) and marginally greater odds of endorsing suicide as acceptable if one dishonors their family (aOR = 1.31, 95%CI = 0.99-1.74) than the general adult population. People in legal/judicial-related occupations were more likely to endorse 3 of the 4 suicide acceptability items compared to the general adult population, however these differences were not statistically significant after accounting for demographic factors.

CONCLUSION

Workers in non-clinical industries that frequently see clients during negative life events are prime audiences for gatekeeper trainings but may have entrenched beliefs about suicide acceptability. Research is needed to determine how these beliefs may impact gatekeeper training.

Group eye movement desensitization and reprocessing (EMDR) in chronic pain patients

The prevalence of chronic pain is increasing, and conventional pain therapies often have limited efficacy in individuals with high levels of psychological distress and a history of trauma. In this context, the use of Eye Movement Desensitization and Reprocessing (EMDR), an evidence-based psychotherapy approach for the treatment of posttraumatic stress disorder, is becoming increasingly important. EMDR shows promising results, particularly for patients with pain and high levels of emotional distress. Although group therapy is becoming increasingly popular in pain management, EMDR has mainly been studied as an individual treatment. However, a systematic review suggests that group therapy can be an effective tool for improving mental health outcomes, especially when trauma is addressed together. Based on these findings, an outpatient EMDR group program was developed for patients with chronic pain. The program consists of a total of four treatment days with 5-5.5 h therapy sessions each day and provides patients with a supportive environment in which they can learn effective pain management strategies and interact with other patients with similar experiences. Initial pilot evaluations indicate high efficacy and adequate safety for patients with chronic pain.

Efficacy of interventions targeted at physician prescribers of opioids for chronic non-cancer pain: an overview of systematic reviews

BACKGROUND

To combat the opioid crisis, interventions targeting the opioid prescribing behaviour of physicians involved in the management of patients with chronic non-cancer pain (CNCP) have been introduced in clinical settings. An integrative synthesis of systematic review evidence is required to better understand the effects of these interventions. Our objective was to synthesize the systematic review evidence on the effect of interventions targeting the behaviours of physician opioid prescribers for CNCP among adults on patient and population health and prescriber behaviour.

METHODS

We searched MEDLINE, Embase, and PsycInfo via Ovid; the Cochrane Database of Systematic Reviews; and Epistemonikos. We included systematic reviews that evaluate any type of intervention aimed at impacting opioid prescriber behaviour for adult CNCP in an outpatient setting.

RESULTS

We identified three full texts for our review that contained 68 unique primary studies. The main interventions we evaluated were structured prescriber education (one review) and prescription drug monitoring programmes (PDMPs) (two reviews). Due to the paucity of data available, we could not determine with certainty that education interventions improved outcomes in deprescribing. There is some evidence that PDMPs decrease the number of adverse opioid-related events, increase communication among healthcare workers and patients, modify healthcare practitioners' approach towards their opioid prescribed patients, and offer more chances for education and counselling.

CONCLUSIONS

Our overview explores the possibility of PDMPs as an opioid deprescribing intervention and highlights the need for more high-quality primary research on this topic.

Age- and cause-specific contributions to increase in life expectancy at birth in Korea, 2000-2019: a descriptive study

BACKGROUND

Korea's life expectancy at birth has consistently increased in the 21st century. This study compared the age and cause-specific contribution to the increase in life expectancy at birth in Korea before and after 2010.

METHODS

The population and death numbers by year, sex, 5-year age group, and cause of death from 2000 to 2019 were acquired. Life expectancy at birth was calculated using an abridged life table by sex and year. The annual age-standardized and age-specific mortality by cause of death was also estimated. Lastly, the age and cause-specific contribution to the increase in life expectancy at birth in the two periods were compared using a stepwise replacement algorithm.

RESULTS

Life expectancy at birth in Korea increased consistently from 2010 to 2019, though slightly slower than from 2000 to 2009. The cause-specific mortality and life expectancy decomposition analysis showed a significant decrease in mortality in chronic diseases, such as neoplasms and diseases of the circulatory system, in the middle and old-aged groups. External causes, such as transport injuries and suicide, mortality in younger age groups also increased life expectancy. However, mortality from diseases of the respiratory system increased in the very old age group during 2010-2019.

CONCLUSIONS

Life expectancy at birth in Korea continued to increase mainly due to decreased mortality from chronic diseases and external causes during the study period. However, the aging of the population structure increased vulnerability to respiratory diseases. The factors behind the higher death rate from respiratory disease should be studied in the future.

Three noteworthy idiosyncrasies related to Canada's opioid-death crisis, and implications for public health-oriented interventions

Canada has been experiencing a prolonged public health-crisis of high rates of overdose deaths caused by exceptionally potent/toxic, illicit opioid use. While many key features of this drug death epidemic are well-documented, several idiosyncratic aspects with relevance for public health-oriented interventions are not adequately recognised. These include: (i) the discrepant opioid patterns pan-Canada, with large majorities of opioid deaths caused by illicit fentanyl drugs in Western, but not Eastern regions where prescription-type opioid prevail; (ii) the environments of overdose deaths, where vast majorities occur in 'residential' or other shelter-type settings, presenting barriers for emergency interventions rather than health protection; and (iii) shifting drug use modes, where now majorities of overdose deaths are associated with drug 'inhalation' (instead of 'injection') in contexts of potent/toxic drug supply. We briefly describe these factors and related implications for intervention programming towards an improved response to the drug death-crisis.

Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study

Opioid use is only recommended in selected cases of musculoskeletal (MSK) injuries. We assessed factors associated with increased opioid use in MSK injuries. In a retrospective analysis of over four million workers with MSK injuries using the Swiss National Accident Insurance Fund (Suva) database, we analyzed risk factors by multivariate logistic regression. Injury severity was associated with pain medication, opioid, and strong opioid use. Whereas fractures, contusions, and ruptures had higher odds for any pain medication use, increased odds for strong opioids were observed in fractures, superficial injuries, and other injuries. Injuries of the shoulders, elbow, chest, back/spine, thorax, and pelvis/hips showed high odds for opioid use (odds ratio (OR) > 2.0). Injuries of the shoulders had higher odds for strong opioid use (OR 1.136; 95% CI 1.040-1.241). The odds for using strong opioids increased from 2008 OR 0.843 (95% confidence interval (CI) 0.798-0.891) to 2018 OR 1.503 (95% CI 1.431-1.578), compared to 2013. Injury severity, type of injury, and injured body parts influenced the use of pain medication and overall opioid use in musculoskeletal injuries. Strong opioids were more often used in fractures but also in superficial and other minor injuries, which indicates that other factors play a role when prescribing strong opioids.

Distributionally sensitive measurement and valuation of population health

We introduce a measure of population health that is sensitive to inequality in both age-specific health and lifespan and can be calculated from a health-extended period life table. By allowing for inequality aversion, the measure generalises health-adjusted life expectancy without requiring more data. A transformation of change in the (life-years) measure gives a distributionally sensitive monetary valuation of change in population health and disease burden. Application to Sub-Saharan Africa between 1990 and 2019 reveals that the change in population health is sensitive to allowing for lifespan inequality but is less sensitive to age-specific health inequality. Allowing for distributional sensitivity changes relative burdens of diseases, reduces convergence between the burdens of communicable and non-communicable diseases, and so could influence disease prioritisation. It increases the value of health improvements relative to GDP.

The Microbiome and Infectious Diseases

Our perception of microbes has considerably changed since the recognition of their pathogenic potential in the 19th century. The discovery of antibiotics and their subsequent widespread adoption have substantially altered the landscape of medicine, providing us with treatment options for many infectious diseases and enabling the deployment of previously risky interventions (eg, surgical procedures and chemotherapy), while also leading to the rise of AMR. The latter is commonly viewed as the predominant downside of antibiotic use. However, with the increasing recognition that all metazoan organisms rely on a community of microbes (the microbiota) for normal development and for most physiologic processes, the negative impacts of antibiotic use now extend well beyond AMR. Using the iceberg as a metaphor, we argue that the effects of antibiotics on AMR represent the tip of the iceberg, with much greater repercussions stemming from their role in the rise of so-called noncommunicable diseases (including obesity, diabetes, allergic and autoimmune diseases, neurodevelopmental disorders, and certain cancers). We highlight some of the emerging science around the intersection of the microbiome, antibiotic use, and health (including biological costs and future therapeutic avenues), and we advocate a more nuanced approach in evaluating the impacts of proposed antibiotic use, especially in the setting of preexposure and postexposure prophylaxis.

Effects of restricting alcohol sales on fatal violence: Evidence from Sunday sales bans

INTRODUCTION

Homicides and suicides are the second- and third-leading causes of death among young people (aged 10-24) in the US. While a substantial share of these deaths involve alcohol, evidence is needed on whether specific alcohol policies, such as day-based sales restrictions, help prevent these deaths.

METHODS

We constructed total and firearm-related homicide and suicide counts by state, year, and day-of-week from the Multiple Cause of Death Micro-data 1990-2019. Repeals of Sunday bans were taken from the Alcohol Policy Information System. Two-way fixed effects Poisson models with standard errors clustered at state-level and population offset control for state, year and day-of-the-week fixed effects and state time-varying covariates.

RESULTS

Repealing Sunday bans is associated with an increase in homicides (IRR=1.125; 95% confidence interval [CI]:1.02-1.24) and firearm homicides (IRR=1.17; 95% CI:1.03-1.33). Analyses by day-of-the-week show significant associations with homicides not only on Sundays, but also other days, consistent with delays in death. There was no significant relationship for suicides.

CONCLUSION

Restricting alcohol availability may prove a useful policy tool to reduce homicides, given that day-based restrictions are associated with changes in deaths rather than only shifting across days-of-the-week.

Inequality in the golden years: Wealth gradients in disability-free and work-free longevity in the United States

We study the relationship of wealth with the "quality" of longevity as measured by years after age 65 containing disability or work. By comparing cohorts turning 65 in 1996 and 2006, we observe strong within-cohort gradients of wealth in which the more wealthy live more years disability-free and work more years, yet also experience more work-free years. We document that these gradients steepened over the decade we study. We explore robustness using education as an alternative indicator for socioeconomic status, and rule out certain explanations for these trends by analyzing the effect of health shocks on wealth accumulation.

Understanding the health decline of Americans in boomers to millennials

Morbidity and mortality are on the rise among Americans from Boomers to Millennials. We investigate early-life diseases and the socioeconomic, psychosocial, and bio-behavioral factors behind this worsening health trend. Using data from the Panel Study of Income Dynamics Family and Individual Files 1968-2013, we find that the chronic disease index and poor subjective health have continuously increased for Baby Boomers and later cohorts. Early-life diseases, obesity, and shortening job tenure account for about half the health decline across cohorts. Weakening union protection, decreasing marriage, and declining religion only make minor contributions. All other factors, including early life nutrition and family background, adulthood socioeconomic status, physical activity, and smoking behaviors, make negative or non-significant contributions. These findings highlight that even though recent cohorts have better childhood nutrition, family socioeconomic environment,and higher levels of education and income, these advantages have been offset by elevated early-life disease exposure, obesity, and a precarious labor market. We discuss the findings in the context of Case and Deaton's "cumulative deprivation" thesis.

Buprenorphine deregulation as an opioid crisis policy response - A comparative analysis between France and the United States

BACKGROUND

In passing the Maintstreaming Addiction Treatment Act, the United States has abolished its federal X waiver, considered a major barrier to the wider buprenorphine prescribing needed to respond to opioid-related harms. Advocates for this policy have drawn on the French response of deregulating buprenorphine prescribing to address increasing overdose mortality around the turn of the millennium. So far, such policy advocacy has incompletely accounted for contextual and health system differences between the two countries.

METHODS

Using the health system dynamics framework, this analysis compares France from 1995 to 2003 (the relevant period of buprenorphine reform) to the US from 2018 until today (the comparison period to explore potential impacts of reform). We used it to guide examination of a) contextual issues relating to opioid use epidemiology and b) health system factors including prescriber supply, sector organization, and insurance coverage for primary care to draw relevant policy learning for the contemporary US.

RESULTS

We identified that the US had a 22.5-fold higher mortality rate and a 2.3-fold higher opioid use disorder (OUD) rate compared to France, despite having rates of prescribed buprenorphine per-capita higher than, and per-person with OUD comparable to, than that of France. These wide gulfs between the scales and nature of the problems between France and the US suggest that relaxing restrictions on buprenorphine prescribing through abolishing the X waiver will be insufficient for achieving hoped-for reductions in overdose mortality.

CONCLUSION

Health system strengthening with a focus on improvements in primary care prescriber supply, coverage, and coordination are likely higher yield policy complements to relaxing buprenorphine regulation. Such an approach would better prepare the US to adapt to ongoing dynamics and uncertainties in the opioid crisis and to optimize the already relatively high levels of buprenorphine prescribing.

Decriminalization thresholds for drug possession: A multi-criteria policy analysis framework

BACKGROUND

Decriminalization of personal possession of drugs has been proposed as an approach to mitigate the harms of drug prohibition. Despite growing interest, particularly in Canadian settings, analyses of approaches to defining the parameters of what constitutes personal possession within decriminalization models are lacking. Using the Province of British Columbia, Canada, as a case study, we undertook an evidence-based multi-criteria policy analysis of three models for defining personal possession: 1) a model that defines personal possession as the absence of evidence of drug trafficking; 2) a cumulative threshold of 15 grams; and 3) a cumulative threshold of 2.5 grams.

METHODS

We utilized data from four sources: qualitative interviews with 16 experts, including representatives from government and law enforcement; Vancouver Police drug seizure data; self-reported drug consumption data from longitudinal cohorts of people who use drugs in Vancouver; and publicly available government documents (e.g., the Government of BC's submission for decriminalization). Data was used to identify and define evaluation criteria which reflect the stated policy objectives of decriminalization alongside other policy considerations. This framework was used to conduct a multi-criteria policy analysis of the three different models.

RESULTS

The seven evaluation criteria included: 1) reduction in interactions with police; 2) reduction of police drug seizures; 3) coverage for those with high consumption; 4) impact on equity-deserving groups; and acceptance on the part key stakeholders, including: 5) people who use drugs; 6) law enforcement; and 7) the public. The model that performed the best was the cumulative threshold model of 15 grams.

CONCLUSION

Findings highlight that different threshold models advance and constrain the stated policy objectives of drug decriminalization to varying degrees. This analysis provides a framework that other jurisdictions considering decriminalization could use to help inform determinations of threshold levels based on stated policy objectives.

Two complementary approaches to estimate an excess of mortality: The case of Switzerland 2022

OBJECTIVE

During the COVID-19 pandemic, excess mortality has generally been estimated comparing overall mortality in a given year with either past mortality levels or past mortality trends, with different results. Our objective was to illustrate and compare the two approaches using mortality data for Switzerland in 2022, the third year of the COVID-19 pandemic.

METHODS

Using data from the Swiss Federal Statistical Office, standardized mortality rates and life expectancies in 2022 were compared with those of the last pre-pandemic year 2019 (first approach), as well as with those that would be expected if the pre-pandemic downward trend in mortality had continued during the pandemic (second approach). The pre-pandemic trend was estimated via a Poisson log-linear model on age-specific mortality over the period 2010-19.

RESULTS

Using the first approach, we estimated in Switzerland in 2022 an excess mortality of 2.6% (95%CI: 1.0%-4.1%) for men and 2.5% (95%CI: 1.0%-4.0%) for women, while the excess mortality rose to 8.4% (95%CI: 6.9%-9.9%) for men and 6.0% (95%CI: 4.6%-7.5%) for women using the second approach. Age classes over 80 were the main responsible for the excess mortality in 2022 for both sexes using the first approach, although a significant excess mortality was also found in most age classes above 30 using the second approach. Life expectancy in 2022 has been reduced by 2.7 months for men and 2.4 months for women according to the first approach, whereas it was reduced by respectively 8.8 and 6.0 months according to the second approach.

CONCLUSIONS

The excess mortality and loss of life expectancy in Switzerland in 2022 are around three times greater if the pre-pandemic trend is taken into account than if we simply compare 2022 with 2019. These two different approaches, one being more speculative and the other more factual, can also be applied simultaneously and provide complementary results. In Switzerland, such a dual-approach strategy has shown that the pre-pandemic downward trend in mortality is currently halted, while pre-pandemic mortality levels have largely been recovered by 2022.

Demographic and regional trends of peripheral artery disease-related mortality in the United States, 2000 to 2019

INTRODUCTION

Peripheral artery disease (PAD) is a common progressive atherosclerotic disease associated with significant morbidity and mortality in the US; however, data regarding PAD-related mortality trends are limited. This study aims to characterize contemporary trends in mortality across sociodemographic and regional groups.

METHODS

The Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research (CDC WONDER) was queried for data regarding PAD-related deaths from 2000 to 2019 in the overall sample and different demographic (age, sex, race/ethnicity) and regional (state, urban-rural) subgroups. Crude and age-adjusted mortality rates (CMR and AAMR, respectively) per 100,000 people were calculated. Associated annual percentage changes (APC) were computed using Joinpoint Regression Program Version 4.9.0.0 trend analysis software.

RESULTS

Between 2000 and 2019, a total of 1,959,050 PAD-related deaths occurred in the study population. Overall, AAMR decreased from 72.8 per 100,000 in 2000 to 32.35 per 100,000 in 2019 with initially decreasing APCs followed by no significant decline from 2016 to 2019. Most demographic and regional subgroups showed initial declines in AAMRs during the study period, with many groups exhibiting no change in mortality in recent years. However, men, non-Hispanic (NH) Black or African American individuals, people aged ⩾ 85 years, and rural counties were associated with the highest AAMRs of their respective subgroups. Notably, there was an increase in crude mortality rate among individuals 25-39 years of age from 2009 to 2019.

CONCLUSION

Despite initial improvement, PAD-related mortality has remained stagnant in recent years. Disparities have persisted across several demographic and regional groups, requiring further investigation.

Missing Americans: Early death in the United States-1933-2021

We assessed how many US deaths would have been averted each year, 1933-2021, if US age-specific mortality rates had equaled the average of 21 other wealthy nations. We refer to these excess US deaths as "missing Americans." The United States had lower mortality rates than peer countries in the 1930s-1950s and similar mortality in the 1960s and 1970s. Beginning in the 1980s, however, the United States began experiencing a steady increase in the number of missing Americans, reaching 622,534 in 2019 alone. Excess US deaths surged during the COVID-19 pandemic, reaching 1,009,467 in 2020 and 1,090,103 in 2021. Excess US mortality was particularly pronounced for persons under 65 years. In 2020 and 2021, half of all US deaths under 65 years and 90% of the increase in under-65 mortality from 2019 to 2021 would have been avoided if the United States had the mortality rates of its peers. In 2021, there were 26.4 million years of life lost due to excess US mortality relative to peer nations, and 49% of all missing Americans died before age 65. Black and Native Americans made up a disproportionate share of excess US deaths, although the majority of missing Americans were White.

Defining despair: Assessing the multidimensionality of despair and its association with suicidality and substance use in early to middle adulthood

Despite considerable scientific interest in documenting growing despair among U.S. adults, far less attention has been paid to defining despair and identifying appropriate measures. Emerging perspectives from social science and psychiatry outline a comprehensive, multidimensional view of despair, inclusive of individuals' cognitive, emotional, biological and somatic, and behavioral circumstances. The current study assesses the structure and plausibility of this framework based on longitudinal data spanning early to middle adulthood. We identified 40 measures of different dimensions of despair in Wave IV (2008-2009) of the National Longitudinal Study of Adult to Adolescent Health (n = 9149). We used structural equation modeling to evaluate hypothesized relationships among observed and latent variables; we then regressed Wave V (2016-2018) suicidality, heavy drinking, marijuana use, prescription drug misuse, and illicit drug use on latent despair. Our analyses find that models for separate dimensions of despair and overall despair demonstrated excellent fit. Overall despair was a significant predictor of Wave V outcomes, especially suicidality, accounting for 20% of its variation, as compared to 1%-7% of the variation in substance use. Suicidality was consistently associated with all domains of despair; behavioral despair explained the most variation in substance use. Given these results we contend that, lacking direct measures, latent despair can be modeled using available survey items; however, some items are likely better indicators of latent dimensions of despair than others. Moreover, the association between despair and key health behaviors varies considerably, challenging its status as a mechanism simultaneously underlying increased substance use and suicide mortality in the United States. Critically, further validation of measures in other surveys can improve the operationalization of despair and its associated conceptual and theoretical frameworks, thus advancing our understanding of this concept.

The association of green space, tree canopy and parks with life expectancy in neighborhoods of Los Angeles

Substantial evidence suggests that access to urban green spaces and parks is associated with positive health outcomes, including decreased mortality. Few existing studies have investigated the association between green spaces and life expectancy (LE), and none have used small-area data in the U.S. Here we used the recently released U.S. Small-Area Life Expectancy Estimates Project data to quantify the relationship between LE and green space in Los Angeles County, a large diverse region with inequities in park access. We developed a model to quantify the association between green space and LE at the census tract level. We evaluated three green space metrics: normalized difference vegetation index (NDVI, 0.6-meter scale), percent tree canopy cover, and accessible park acres. We statistically adjusted for 15 other determinants of LE. We also developed conditional autoregressive models to account for spatial dependence. Tree canopy and NDVI were both significantly associated with higher LE. For an interquartile range (IQR) increase in each metric respectively, the spatial models demonstrated a 0.24 to 0.33-year increase in LE. Tree canopy and NDVI also modified the effect of park acreage on LE. ln areas with tree canopy levels below the county median, an IQR increase in park acreage was associated with an increase of 0.12 years. Although on an individual level these effects were modest, we predicted 155,300 years of LE gains across the population in LA County if all areas below median tree canopy were brought to the county median of park acres. If tree canopy or NDVI were brought to median levels, between 570,300 and 908,800 years of LE could be gained. The majority of potential gains are in areas with predominantly Hispanic/Latinx and Black populations. These findings suggest that equitable access to green spaces could result in substantial population health benefits.

De-Implementing Opioids for Dental Extractions (DIODE): a multi-clinic, cluster-randomized trial of clinical decision support strategies in dentistry

BACKGROUND

Opioid pain relievers are commonly prescribed following dental extractions, but evidence shows that non-opioid analgesics often provide adequate pain relief with fewer risks. The current study examined clinical decision support (CDS) as a tool for de-implementing opioid prescribing in dentistry.

METHODS

This prospective, cluster-randomized trial examined CDS for dental pain management at 22 HealthPartners Dental Group clinics in Minnesota. Dental providers (n = 49) were randomized to deliver care using CDS, CDS with patient education materials (CDS-E), or standard practice (SP). Randomization was stratified by provider type (dentist vs. oral surgeon) and baseline opioid prescribing volume. Patient records of dental extractions were examined for January 2019 through May 2021, representing a 12-month baseline and 15-month intervention period (N = 12,924). Opioid prescription at the visit (no vs. yes) was the primary outcome. Data were analyzed using generalized linear mixed models, adjusting for patient sex and age, extraction complexity, and baseline prescribing strata (volume and provider type).

RESULTS

Patients were 56.2% female, with a mean age of 46.7 (SD = 20.0) years. Providers were 8% oral surgeons, 57% female, and with a mean age of 43.7 (SD = 11.2) years. There were significant decreases in opioid prescribing during the study (P < 0.001), representing a continuation of pre-existing trends to reduce opioid prescribing in these dental practices. There were no significant differences in opioid prescribing between CDS and SP (OR = 1.29; 97.5% CI = 0.93, 1.79; P = 0.08), or CDS-E and SP arms (OR = 1.27; 97.5% CI = 0.86, 1.79; P = 0.18). The direction of the association favored greater reductions in opioid prescribing in the SP arm. Despite training and implementation support, utilization of the CDS was low, particularly among oral surgeons, who were significantly more likely than other dentists to prescribe opioids. Among non-oral surgeon providers with the opportunity to access it, CDS utilization was not significantly associated with opioid prescribing.

CONCLUSIONS

Equipping dentists with CDS resources, whether alone or accompanied by patient education materials, did not accelerate reductions in opioid prescribing beyond those observed in standard practice. Strategies are needed to enhance CDS utilization for patient care and safety surrounding analgesia following dental extractions.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT03584789.

Escalating costs of self-injury mortality in the 21st century United States: an interstate observational study

BACKGROUND

Estimating the economic costs of self-injury mortality (SIM) can inform health planning and clinical and public health interventions, serve as a basis for their evaluation, and provide the foundation for broadly disseminating evidence-based policies and practices. SIM is operationalized as a composite of all registered suicides at any age, and 80% of drug overdose (intoxication) deaths medicolegally classified as 'accidents,' and 90% of corresponding undetermined (intent) deaths in the age group 15 years and older. It is the long-term practice of the United States (US) Centers for Disease Control and Prevention (CDC) to subsume poisoning (drug and nondrug) deaths under the injury rubric. This study aimed to estimate magnitude and change in SIM and suicide costs in 2019 dollars for the United States (US), including the 50 states and the District of Columbia.

METHODS

Cost estimates were generated from underlying cause-of-death data for 1999/2000 and 2018/2019 from the US Centers for Disease Control and Prevention's (CDC's) Wide-ranging ONline Data for Epidemiologic Research (WONDER). Estimation utilized the updated version of Medical and Work Loss Cost Estimation Methods for CDC's Web-based Injury Statistics Query and Reporting System (WISQARS). Exposures were medical expenditures, lost work productivity, and future quality of life loss. Main outcome measures were disaggregated, annual-averaged total and per capita costs of SIM and suicide for the nation and states in 1999/2000 and 2018/2019.

RESULTS

40,834 annual-averaged self-injury deaths in 1999/2000 and 101,325 in 2018/2019 were identified. Estimated national costs of SIM rose by 143% from $0.46 trillion to $1.12 trillion. Ratios of quality of life and work losses to medical spending in 2019 US dollars in 2018/2019 were 1,476 and 526, respectively, versus 1,419 and 526 in 1999/2000. Total national suicide costs increased 58%-from $318.6 billion to $502.7 billion. National per capita costs of SIM doubled from $1,638 to $3,413 over the observation period; costs of the suicide component rose from $1,137 to $1,534. States in the top quintile for per capita SIM, those whose cost increases exceeded 152%, concentrated in the Great Lakes, Southeast, Mideast and New England. States in the bottom quintile, those with per capita cost increases below 70%, were located in the Far West, Southwest, Plains, and Rocky Mountain regions. West Virginia exhibited the largest increase at 263% and Nevada the smallest at 22%. Percentage per capita cost increases for suicide were smaller than for SIM. Only the Far West, Southwest and Mideast were not represented in the top quintile, which comprised states with increases of 50% or greater. The bottom quintile comprised states with per capita suicide cost increases below 24%. Regions represented were the Far West, Southeast, Mideast and New England. North Dakota and Nevada occupied the extremes on the cost change continuum at 75% and - 1%, respectively.

CONCLUSION

The scale and surge in the economic costs of SIM to society are large. Federal and state prevention and intervention programs should be financed with a clear understanding of the total costs-fiscal, social, and personal-incurred by deaths due to self-injurious behaviors.

Effect of human mesenchymal stem cell secretome administration on morphine self-administration and relapse in two animal models of opioid dependence

The present study investigates the possible therapeutic effects of human mesenchymal stem cell-derived secretome on morphine dependence and relapse. This was studied in a new model of chronic voluntary morphine intake in Wistar rats which shows classic signs of morphine intoxication and a severe naloxone-induced withdrawal syndrome. A single intranasal-systemic administration of MSCs secretome fully inhibited (&gt;95%; p &lt; 0.001) voluntary morphine intake and reduced the post-deprivation relapse intake by 50% (p &lt; 0.02). Since several studies suggest a significant genetic contribution to the chronic use of many addictive drugs, the effect of MSCs secretome on morphine self-administration was further studied in rats bred as high alcohol consumers (UChB rats). Sub-chronic intraperitoneal administration of morphine before access to increasing concentrations of morphine solutions and water were available to the animals, led UChB rats to prefer ingesting morphine solutions over water, attaining levels of oral morphine intake in the range of those in the Wistar model. Intranasally administered MSCs secretome to UChB rats dose-dependently inhibited morphine self-administration by 72% (p &lt; 0.001); while a single intranasal dose of MSC-secretome administered during a morphine deprivation period imposed on chronic morphine consumer UChB rats inhibited re-access morphine relapse intake by 80 to 85% (p &lt; 0.0001). Both in the Wistar and the UChB rat models, MSCs-secretome administration reversed the morphine-induced increases in brain oxidative stress and neuroinflammation, considered as key engines perpetuating drug relapse. Overall, present preclinical studies suggest that products secreted by human mesenchymal stem cells may be of value in the treatment of opioid addiction.

Heterogeneity in Disparities in Life Expectancy Across US Metropolitan Areas

BACKGROUND

Life expectancy in the United States has declined since 2014 but characterization of disparities within and across metropolitan areas of the country is lacking.

METHODS

Using census tract-level life expectancy from the 2010 to 2015 US Small-area Life Expectancy Estimates Project, we calculate 10 measures of total and income-based disparities in life expectancy at birth, age 25, and age 65 within and across 377 metropolitan statistical areas (MSAs) of the United States.

RESULTS

We found wide heterogeneity in disparities in life expectancy at birth across MSAs and regions: MSAs in the West show the narrowest disparities (absolute disparity: 8.7 years, relative disparity: 1.1), while MSAs in the South (absolute disparity: 9.1 years, relative disparity: 1.1) and Midwest (absolute disparity: 9.8 years, relative disparity: 1.1) have the widest life expectancy disparities. We also observed greater variability in life expectancy across MSAs for lower income census tracts (coefficient of variation [CoV] 3.7 for first vs. tenth decile of income) than for higher income census tracts (CoV 2.3). Finally, we found that a series of MSA-level variables, including larger MSAs and greater proportion college graduates, predicted wider life expectancy disparities for all age groups.

CONCLUSIONS

Sociodemographic and policy factors likely help explain variation in life expectancy disparities within and across metro areas.

Why Gilgamesh failed: the mechanistic basis of the limits to human lifespan

The purpose of this Perspective is to clarify for an interdisciplinary audience the fundamental concepts of human longevity and provide evidence for a limit to human lifespan. This observed limit is placed into a broader framework by showing how it has arisen through the process of evolution and by enumerating the molecular mechanisms that may enforce it. Finally, we look toward potential future developments and the prospects for possibly circumventing the current limit.

Examining the Association between Racialized Economic Threat and White Suicide in the United States, 2000-2016

Suicide is steadily rising. Many blamed worsening economic conditions for this trend. Sociological theory established clear pathways between joblessness and suicide focused on status threat, shame, and consequent disruption of social relationships. However, recent empirical research provides little support for a link between unemployment and suicide. I attempt to reconcile this contradiction by focusing on white suicide and white employment-to-population ratio. Whiteness is not just a default category but a pervasive ideology that amplifies the effects of status loss. The white employment-to-population ratio represents a form of racialized economic threat and accounts for discouraged workers who have exited the labor force. I use longitudinal hybrid models with U.S. state-level data, 2000 to 2016, and find that decreasing employment is associated with increasing suicide among the white population and white men. I discuss this study's contributions to the literature on suicide and joblessness and the emerging scholarship on whiteness and health.

Exploring inequalities in life expectancy and lifespan variation by race/ethnicity and urbanicity in the United States: 1990 to 2019

Background/Objective

Investigating trends in life expectancy and lifespan variation can highlight disproportionate mortality burdens among population subgroups. We examined inequalities in life expectancy and lifespan variation by race/ethnicity and by urbanicity in the US from 1990 to 2019.

Methods

Using vital registration data for 322.0 million people in 3,141 counties from the National Center for Health Statistics, we obtained life expectancy at birth and lifespan variation for 16 race/ethnicity-gender-urbanicity combinations in six 5-year periods (1990-1994 to 2015-2019). Race/ethnicity was categorized as Hispanic, and non-Hispanic White, Black, and Asian/Pacific Islander. Urbanicity was categorized as metropolitan vs nonmetropolitan areas, or in six further detailed categorizations. Life expectancy and lifespan variation (coefficient of variation) were computed using life tables.

Results

In 2015-2019, residents in metropolitan areas had higher life expectancies than their nonmetropolitan counterparts (79.6 years compared to 77.0 years). The widest inequality in life expectancy occurred between Asian/Pacific Islander women and Black men, with a 17.7-year gap for residents in metropolitan areas and a 16.9-year gap for residents in nonmetropolitan areas. Nonmetropolitan areas had greater dispersion around average age at death. Black individuals had the highest lifespan variations in both metropolitan and nonmetropolitan areas. Until the mid-2010s, life expectancy increased while lifespan variation decreased; however, recent trends show stagnation in life expectancy and increases in lifespan variation. Metropolitan-nonmetropolitan inequalities in both life expectancy and lifespan variation widened over time.

Conclusion

Despite previous improvements in longevity, life expectancy is now stagnating while lifespan variation is increasing. Our results highlight that early-life deaths (i.e., young- and middle-age mortality) disproportionately affect Black individuals, who not only live the shortest lifespans but also have the most variability with respect to age at death.

Alcohol-Attributable Deaths Help Drive Growing Socioeconomic Inequalities In US Life Expectancy, 2000-18

Socioeconomic gaps in life expectancy have widened substantially in the United States since 2000. Yet the contribution of specific causes to these growing disparities remains unknown. We used death records from the National Vital Statistics System and population data from Current Population Surveys to quantify the contribution of alcohol-attributable causes of death to changes in US life expectancy between 2000 and 2018 by sex and socioeconomic status (as measured by educational attainment). During the study period, the gap in life expectancy between people with low (high school diploma or less) compared with high (college degree) levels of education increased by three years among men and five years among women. Between 2000 and 2010 declines in cardiovascular disease mortality among people with high education made major contributions to growing inequalities. In contrast, between 2010 and 2018 deaths from a cause with an alcohol-attributable fraction of 20 percent or more were a dominant driver of socioeconomic divergence. Increased efforts to implement cost-effective alcohol control policies will be essential for reducing health disparities.

The effect of dietary fat consumption on Alzheimer's disease pathogenesis in mouse models

Alzheimer's disease (AD) is a fatal cognitive disorder with proteinaceous brain deposits, neuroinflammation, cerebrovascular dysfunction, and extensive neuronal loss over time. AD is a multifactorial disease, and lifestyle factors, including diet, are likely associated with the development of AD pathology. Since obesity and diabetes are recognized as risk factors for AD, it might be predicted that a high-fat diet (HFD) would worsen AD pathology. However, modeling HFD-induced obesity in AD animal models has yielded inconclusive results. Some studies report a deleterious effect of HFD on Aβ accumulation, neuroinflammation, and cognitive function, while others report that HFD worsens memory without affecting AD brain pathology. Moreover, several studies report no major effect of HFD on AD-related phenotypes in mice, while other studies show that HFD might, in fact, be protective. The lack of a clear association between dietary fat consumption and AD-related pathology and cognitive function in AD mouse models might be explained by experimental variations, including AD mouse model, sex and age of the animals, composition of the HFD, and timeline of HFD consumption. In this review, we summarize recent studies that aimed at elucidating the effect of HFD-induced obesity on AD-related pathology in mice and provide an overview of the factors that may have contributed to the results reported in these studies. Based on the heterogeneity of these animal model studies and given that the human population itself is quite disparate, it is likely that people will benefit most from individualized nutritional plans based on their medical history and clinical profiles.

Frequency of the Dopamine Receptor D3 (rs6280) vs. Opioid Receptor µ1 (rs1799971) Polymorphic Risk Alleles in Patients with Opioid Use Disorder: A Preponderance of Dopaminergic Mechanisms?

While opioids are a powerful class of drugs that inhibit transmission of pain signals, their use is tarnished by the current epidemic of opioid use disorder (OUD) and overdose deaths. Notwithstanding published reports, there remain gaps in our knowledge of opioid receptor mechanisms and their role in opioid seeking behavior. Thus, novel insights into molecular, neurogenetic and neuropharmacological bases of OUD are needed. We propose that an addictive endophenotype may not be entirely specific to the drug of choice but rather may be generalizable to altered brain reward circuits impacting net mesocorticolimbic dopamine release. We suggest that genetic or epigenetic alterations across dopaminergic reward systems lead to uncontrollable self-administration of opioids and other drugs. For instance, diminished availability via knockout of dopamine D3 receptor (DRD3) increases vulnerability to opioids. Building upon this concept via the use of a sophisticated polymorphic risk analysis in a human cohort of chronic opioid users, we found evidence for a higher frequency of polymorphic DRD3 risk allele (rs6280) than opioid receptor µ1 (rs1799971). In conclusion, while opioidergic mechanisms are involved in OUD, dopamine-related receptors may have primary influence on opioid-seeking behavior in African Americans. These findings suggest OUD-targeted novel and improved neuropharmacological therapies may require focus on DRD3-mediated regulation of dopaminergic homeostasis.

Characteristics of older adult hospitalized patients with bronchial asthma: a retrospective study

Background

Bronchial asthma is a chronic inflammation of the airways. Older adult patients with bronchial asthma are defined as patients older than 65 and with a previous or current clear diagnosis of asthma. The purpose of this study was to determine the characteristics of older adult hospitalized patients with bronchial asthma.

Methods

We retrospectively analyzed the data from patients with bronchial asthma admitted to the General Hospital of the Northern Theater Command from September 2018 to January 2020. We divided them into the older adult (≥ 65 years) and the younger (< 65 years) groups. We compared the clinical and epidemiological characteristics of the two groups.

Results

There were 181 inpatients with bronchial asthma, including 41 older adult patients, accounting for 22.7%. There were significant differences in age, sex, smoking, duration of disease, age at diagnosis of asthma, hospital stays, hospitalization costs, number of acute attacks 1 year before admission, number of hospitalizations in our hospital one year before admission, asthma control test score, forced expiratory volume in 1 s (FEV1), FEV1/FVC, the severity of acute attacks, comorbidities, and inhaled corticosteroid dose between the two groups. There were many older adult patients with asthma (mostly late-onset asthma). The hospitalization costs were high. Most patients had many comorbidities, poor asthma control, severe attack, and heavy economic burdens.

Conclusion

Attention should be focused on achieving asthma control in older adult patients to improve their quality of life and reduce their economic burdens.