Population Health Inequalities Research Articles

Investigating the Black Birth Experience: A Race-Stratified Analysis of Preterm Birth Risk and Exposure to Metropolitan Statistical Area-Level Police-Related Deaths, US 2018–2019

Police-related violence may be a source of chronic stress underlying entrenched racial inequities in reproductive health in the USA. Using publicly available data on police-related fatalities, we estimated total and victim race-specific rates of police-related fatalities (deaths per 100,000 population) in 2018–2019 for Metropolitan Statistical Areas (MSA) and counties within MSAs in the USA. Rates were linked to data on live births by maternal MSA and county of residence. We fit adjusted log-Poisson models with generalized estimating equations and cluster-robust standard errors to estimate the relative risk of preterm birth associated with the middle and highest tertiles of police-related fatalities compared to the lowest tertile. We included a test for heterogeneity by maternal race/ethnicity and additionally fit race/ethnicity-stratified models for associations with victim race/ethnicity-specific police-related fatality rates. Fully adjusted models indicated significant adverse associations between police-related fatality rates and relative risk of preterm birth for the total population, non-Hispanic Black, and non-Hispanic White groups separately. Results confirm the role of fatal police violence as a social determinant of population health outcomes and inequities, including preterm birth.

The embodiment of exclusionary displacement pressure: Intersections of housing insecurity and mental health in a Hispanic/Latinx immigrant neighborhood

Gentrification, growing income inequality, urban development, and the affordable housing crisis necessitate understanding the impact of the concern of displacement on health — prior to or even in the absence of a displacement event. In this paper, I use the term “exclusionary displacement pressure” to unify the literature on exclusionary displacement and displacement pressure, highlighting the disproportionate and inequitable impacts of displacement pressure among communities of color. Through following 35 residents over 2.5-years (2019–2022) in one predominantly low-income Hispanic/Latinx immigrant neighborhood in Denver, Colorado, I examine how exclusionary displacement pressure shapes their health and wellbeing over time. Through paying attention to how participants' lived experience is shaped by structural vulnerability (e.g. lack of documentation status, inadequate work, limited access to safety net systems), I identify how exclusionary displacement pressure is constantly internalized and responded to as a unique embodied health experience, wearing on individuals over time and reproducing population health inequities. The framework of embodied health experiences captures the wide range of health-related impacts, from diagnosable health conditions to idioms of distress, using participant's own language of suffering to express how they were feeling, battling, and enduring the pressure. Theorizing on structural vulnerability within specific subpopulations with intersecting identities, such as low-income immigrant Hispanic/Latinx communities, provides a bottom-up refinement to existing theories of embodied health. Understanding the place-health experiences of individuals in changing neighborhoods over time is also critically important to define time points at which context-specific supports and interventions are appropriate.

Estimating quality-adjusted life expectancy (QALE) for local authorities in Great Britain and its association with indicators of the inclusive economy: a cross-sectional study

ObjectivesQuantifying area-level inequalities in population health can help to inform policy responses. We describe an approach for estimating quality-adjusted life expectancy (QALE), a comprehensive health expectancy measure, for local authorities...

Identifying newborn discharge to child protective services: Comparing discharge codes from birth hospitalization records and child protection case files

PurposeNewborn removal by North America’s child protective services (CPS) disproportionately impacts Indigenous and Black families, yet its implications for population health inequities are not well understood. To guide this as a domain for future research, we measured validity of birth hospitalization discharge codes categorizing newborns discharged to CPS. MethodsUsing data from 309,260 births in Manitoba, Canada, we compared data on newborns discharged to CPS from hospital discharge codes with the presumed gold standard of custody status from CPS case reports in overall population and separately by First Nations status (categorization used in Canada for Indigenous peoples who are members of a First Nation). ResultsOf 309,260 newborns, 4562 (1.48%) were in CPS custody at hospital discharge according to CPS case reports and 2678 (0.87%) were coded by hospitals as discharged to CPS. Sensitivity of discharge codes was low (47.8%), however codes were highly specific (99.8%) with a positive predictive value (PPV) of 81.4%, and a negative predictive value (NPV) of 99.2%. Sensitivity, PPV and specificity were equal for all newborns but NPV was lower for First Nations newborns. ConclusionsCanadian hospital discharge records underestimate newborn discharge to CPS, with no difference in misclassication based on First Nations status.

Transferable lessons learned from improving health literacy responsiveness in Dutch rheumatology care

Abstract Background Health literacy difficulties among (groups of) individuals represent a significant public health challenge. Improving health literacy responsiveness of systems and services could reduce health inequalities in communities and patient populations. Methods We conducted a mixed-methods study to improve health literacy responsiveness in three Dutch rheumatology centres, using the OPtimising HEalth LIteracy and Access (Ophelia) approach. Patients and health professionals were involved in an inclusive needs assessment (n = 895 and 39, respectively) and co-design consultations to identify local solutions (n = 14 and 38, respectively). Based on all steps, we formulated transferable lessons learned (outcome-related or process-related) for public health and health care. Results Outcome-related lessons: a mixed-methods Ophelia approach was successful in identifying health literacy challenges and 175 potential solutions. Challenges are similar between disease groups and centres, but require solutions specific to the local context. Recognising challenges at the point of care is difficult. For a healthcare service to be responsive to health literacy needs, increased awareness alone is not enough; it will require a conscious actions and systemic change at multiple levels, including training. Process-related lessons: prerequisites for a successful health literacy responsiveness project include using multidimensional measurements, an inclusive participatory approach with all stakeholders, collaboration with experts in a community of practice, and strong project governance. Conclusions The Ophelia project in rheumatology care was successful in its aims of finding solutions to improve health literacy responsiveness. Public health and healthcare organisations should consider improving their health literacy responsiveness using a grassroots co-design approach. However, project success will depend on the quality of its governance; future programmes should follow a systematic approach. Key messages • Using a grassroots co-design approach such as Ophelia can help identify locally relevant solutions to health literacy challenges and support organisational efforts to reduce health inequalities. • Successfully improving health literacy responsiveness requires, at minimum, inclusion of people with most complex health literacy challenges, strong project governance, and stakeholder engagement.

The role of parental composition in improved birth outcomes during the COVID-19 pandemic in Finland

Abstract Background In some high-income contexts, the COVID-19 pandemic was associated with improved birth outcomes, which was hypothesised to be caused by a positive effect of the pandemic on maternal health. Conversely, an improvement in birth outcomes may have been driven by pandemic-induced compositional changes in parental characteristics, which are associated with health outcomes at birth. Research on this consequence of the COVID-19 pandemic is critical for understanding pandemic-induced changes in population health (inequalities) and planning of public service provision. Methods We analysed population-wide data on birth outcomes and parental sociodemographic characteristics from Finland collected between January 2015 and December 2021 (n = 336,000). The total effect of pandemic-induced compositional changes on birth weight and preterm birth rate was estimated by segmented regression models using three conception cohorts: a) conceived prior to May 2019, b) conceived between June 2019 and February 2020 (to account for in-utero exposure to the pandemic), and c) conceived during the pandemic between March 2020 and February 2021 (to prevent selection bias). Preliminary Results Adjusting for secular trends and seasonality, and accounting for in-utero exposure to the pandemic, the estimated effect of parental compositional change on average birth weight was 36.5 grams [95%CI: 24.8; 48.3]. Correspondingly, this compositional change was associated with a 16.2% [95%CI: 8.8%; 23%] lower risk of preterm birth for babies conceived during the pandemic. Conclusions Pandemic-induced changes in parental composition drove the modest increase in birth weight and substantial reduction in preterm births for babies conceived during the pandemic. Should the postponed pregnancies among population groups at risk for worse birth outcomes eventually realise post-COVID-19, health care and educational systems may need to prepare for cohort-specific variations in service demand. Key messages • Improvement in birth weight and preterm birth rate among babies conceived during the COVID-19 pandemic were driven by pandemic-induced changes in parental composition. • Further research using natural experimental designs on this compositional change and health outcomes can inform future public service provision.

Population health approach for health systems: public health organization, workforce and governance

Abstract Background The health systems have been evolving based on solely individual care of diseases, which is no longer sustainable. A combination of a public health and individual approach is needed, although how to deliver those population health services remains a challenge. This study explores how population health outcomes are determined by the organizational model and workforce capacity of public health services at local level. Methods Using publicly available data on organizational, geodemographic and population health characteristics of the total 55 public health units (PHU) in mainland Portugal, a fixed effects panel regression of three models was performed. The analysis considered synergies between public health workforce (medical doctors and nurses), organizational (considering a Local Health Unit (LHU) group, that includes both primary and secondary care, and non-LHU) and infrastructure characteristics, and population health outcomes (premature standardized mortality rate and life expectancy at birth (LE)). Confidence intervals (CI) at 95% and odds ratio (OR) were calculated. Results A lower premature standardized mortality rate and a higher life expectancy at birth were observed when there is one public health doctor per between 22 319.4 and 24 616.7 habitants and 25 382.5 and 27 680.0 habitants, respectively. The regression models that were run showed that PHU under a LHU model or disaggregated services are associated with an increase in the premature standardized mortality rate (OR = 1.23 [CI 95% 0.21-15.24]) and a decrease in the LE (OR = 0.50 [CI 95% 0.17-1.41]). Conclusions Health systems must promote public health services capable of delivering the essential public health functions, particularly at local level, where they must be concentrated and integrated at the same level of governance as individual levels of care, and equipped with a public health workforce adapted to the size of the population on which they must intervene. Key messages • Strengthening health systems resilience require a combination of public health and individual approaches to improve population health and tackle inequalities. • Essential public health functions require concentrated and integrated governance models and a public health workforce adapted to the size of the population.

Territorial Coordination Centres and Telenursing: innovation and digitalisation of home care in Italy

Abstract Issue After Covid-19, Italy approved the National Recovery and Resilience Plan (NRRP) to boost public health, sustainability and digital innovation, which promotes ecological and digital transition reforms. The strategic health reform redesigned territorial healthcare network by introducing new models of proactive care, as Territorial Coordination Centres (TCCs) and Telenursing. Description of the problem TCC is an innovative organisational model, that coordinates taking care by linking services and professionals involved in different care settings. In TCCs are involved nursing staff, that performs a telemedicine service called Telenursing, a way of delivering nursing care directly to the patient's home, through digital health tools. How will TCCs be implemented, using NRRP funds? How will Telenursing impact on home care? Results By 2024, 600 TCCs are planned to be implemented and fully operational, across the Country, financed by NRRP (280 bln €). The standard set by the NRRP reform is 1 TCC each 100,000 inhabitants, with 4-6 primary nurses involved (2,400-3,600 nationally). TCCs are organised to be interconnected with every healthcare network setting, including home care. Telenursing, within the TCCs, aims to guarantee proactive, personalised and proximity care, enhancing the home as a privileged place of care. Nurses of TCCs perform health monitoring, assessment, promotion, prevention and education by Telenursing, in order to reduce inappropriate hospital admissions and to increase patient satisfaction, safety and empowerment. By 2026, at least 200,000 people will be assisted through telemedicine tools, as planned in NRRP reform (funding 1 bln €). Lessons Italy, pursuing better health outcomes for the population, is investing in strengthening public primary care services and digitalization of services. New strategy aims to improve health of population and decrease health inequalities, while reducing geographical variations. Key messages • Telenursing performed by nurses working in TCCs is aimed at improving proactive, personalised and proximity care, supporting patients and caregivers at home. • By 2024, TCCs will be fully operating to guarantee an innovative system of public primary care, that uses digital tools to manage population in home care, reducing inappropriate hospitalization.

The Health Inequality Impact of Liquid Biopsy to Inform First-Line Treatment of Advanced Non–Small Cell Lung Cancer: A Distributional Cost-Effectiveness Analysis

ObjectivesTo perform a distributional cost-effectiveness analysis of liquid biopsy (LB) followed by, if needed, tissue biopsy (TB) (LB-first strategy) relative to a TB-only strategy to inform first-line treatment of advanced non–small cell lung cancer (aNSCLC) from a US payer perspective by which we quantify the impact of LB-first on population health inequality according to race and ethnicity. MethodsWith a health economic model, quality-adjusted life-years (QALYs) and costs per patient were estimated for each subgroup. Given the lifetime risk of aNSCLC, and assuming equally distributed opportunity costs, the incremental net health benefits of LB-first were calculated, which were used to estimate general population quality-adjusted life expectancy at birth (QALE) by race and ethnicity with and without LB-first. The degree of QALYs and QALE differences with the strategies was expressed with inequality indices. Their differences were defined as the inequality impact of LB-first. ResultsLB-first resulted in an additional 0.21 (95% uncertainty interval: 0.07-0.39) QALYs among treated patients, with the greatest gain observed among Asian patients (0.31 QALYs [0.09-0.61]). LB-first resulted in an increase in relative inequality in QALYs among patients, but a minor decrease in relative inequality in QALE. ConclusionsLB-first to inform first-line aNSCLC therapy can improve health outcomes. With current diagnostic performance, the benefit is the greatest among Asian patients, thereby potentially widening racial and ethnic differences in survival among patients with aNSCLC. Assuming equally distributed opportunity costs and access, LB-first does not worsen and, in fact, may reduce inequality in general population health according to race and ethnicity.

Prevalence of unmet health care need in older adults in 83 countries: measuring progressing towards universal health coverage in the context of global population ageing

Current measures for monitoring progress towards universal health coverage (UHC) do not adequately account for populations that do not have the same level of access to quality care services and/or financial protection to cover health expenses for when care is accessed. This gap in accounting for unmet health care needs may contribute to underutilization of needed services or widening inequalities. Asking people whether or not their needs for health care have been met, as part of a household survey, is a pragmatic way of capturing this information. This analysis examined responses to self-reported questions about unmet need asked as part of 17 health, social and economic surveys conducted between 2001 and 2019, representing 83 low-, middle- and high-income countries. Noting the large variation in questions and response categories, the results point to low levels (less than 2%) of unmet need reported in adults aged 60+ years in countries like Andorra, Qatar, Republic of Korea, Slovenia, Thailand and Viet Nam to rates of over 50% in Georgia, Haiti, Morocco, Rwanda, and Zimbabwe. While unique, these estimates are likely underestimates, and do not begin to address issues of poor quality of care as a barrier or contributing to unmet need in those who were able to access care. Monitoring progress towards UHC will need to incorporate estimates of unmet need if we are to reach universality and reduce health inequalities in older populations.

Educational disparities in joint pain within and across US states: do macro sociopolitical contexts matter?

Despite growing recognition of the importance of social, economic, and political contexts for population health and health inequalities, research on pain disparities relies heavily on individual-level data, while neglecting overarching macrolevel factors such as state-level policies and characteristics. Focusing on moderate or severe arthritis-attributable joint pain-a common form of pain that considerably harms individuals' quality of life-we (1) compared joint pain prevalence across US states; (2) estimated educational disparities in joint pain across states; and (3) assessed whether state sociopolitical contexts help explain these 2 forms of cross-state variation. We linked individual-level data on 407,938 adults (ages 25-80 years) from the 2017 Behavioral Risk Factor Surveillance System with state-level data on 6 measures (eg, the Supplemental Nutrition Assistance Program [SNAP], Earned Income Tax Credit, Gini index, and social cohesion index). We conducted multilevel logistic regressions to identify predictors of joint pain and inequalities therein. Prevalence of joint pain varies strikingly across US states: the age-adjusted prevalence ranges from 6.9% in Minnesota to 23.1% in West Virginia. Educational gradients in joint pain exist in all states but vary substantially in magnitude, primarily due to variation in pain prevalence among the least educated. At all education levels, residents of states with greater educational disparities in pain are at a substantially higher risk of pain than peers in states with lower educational disparities. More generous SNAP programs (odds ratio [OR] = 0.925; 95% confidence interval [CI]: 0.963-0.957) and higher social cohesion (OR = 0.819; 95% CI: 0.748-0.896) predict lower overall pain prevalence, and state-level Gini predicts higher pain disparities by education.

Racialized Health Inequities: Quantifying Socioeconomic and Stress Pathways Using Moderated Mediation.

Racism drives population health inequities by shaping the unequal distribution of key social determinants of health, such as socioeconomic resources and exposure to stressors. Research on interrelationships among race, socioeconomic resources, stressors, and health has proceeded along two lines that have largely remained separate: one examining differential effects of socioeconomic resources and stressors on health across racialized groups (moderation processes), and the other examining the role of socioeconomic resources and stressors in contributing to racial inequities in health (mediation processes). We conceptually and analytically integrate these areas using race theory and a novel moderated mediation approach to path analysis to formally quantify the extent to which an array of socioeconomic resources and stressors-collectively and individually-mediate racialized health inequities among a sample of older adults from the Health and Retirement Study. Our results yield theoretical contributions by showing how the socioeconomic status-health gradient and stress processes are racialized (24% of associations examined varied by race), substantive contributions by quantifying the extent of moderated mediation of racial inequities (approximately 70%) and the relative importance of various social factors, and methodological contributions by showing how commonly used simple mediation approaches that ignore racialized moderation processes overestimate-by between 5% and 30%-the collective roles of socioeconomic status and stressors in accounting for racial inequities in health.

Traveling Together: A Road Map for Researching Neighborhood Effects on Population Health and Health Inequities.

As evidence of the relationship between place and health mounts, more epidemiologists and clinical science researchers are becoming interested in incorporating place-based measures and analyses into their examination of population health and health inequities. Given the extensive literature on place and health, it can be challenging for researchers new to this area to develop neighborhood-effects research questions and apply the appropriate measures and methods. This paper provides a road map for guiding health researchers through the conceptual and methodological stages of incorporating various dimensions of place into their quantitative health research. Synthesizing across reviews, commentaries, and empirical investigations, the road map consists of 4 broad stages for considering place and health: 1) why?: articulating the motivation for assessing place and health and grounding the motivation in theory; 2) what?: identifying the relevant place-based characteristics and specifying their link to health to build a conceptual framework; 3) how?: determining how to operationalize the conceptual framework by defining, measuring, and assessing place-based characteristics and quantifying their effect on health; and 4) now what?: discussing the implications of neighborhood research findings for future research, policy, and practice. This road map supports efforts to develop conceptually and analytically rigorous neighborhood research projects.

The impact of health systems and health services on inequalities in population health

The impact of health systems and health services on inequalities in population health

Decreasing Survey Response Rates in the Time of COVID-19: Implications for Analyses of Population Health and Health Inequities.

Objectives. To examine whether, and if so how, US national and state survey response rates changed after the onset of the COVID-19 pandemic. Methods. We compared the change in response rates between 2020 and 2019 of 6 (3 social and economic, 3 health focused) major US national surveys (2 with state response rates). Results. All the ongoing surveys except 1 reported relative decreases (∼29%) in response rates. For example, the household response rate to the US Census American Community Survey decreased from 86.0% in 2019 to 71.2% in 2020, and the response rate of the US National Health Interview Survey decreased from 60.0% to 42.7% from the first to the second quarter of 2020. For all surveys, the greatest decreases in response rates occurred among persons with lower income and lower education. Conclusions. Socially patterned decreases in response rates pose serious challenges and must be addressed explicitly in all studies relying on data obtained since the onset of the pandemic. Public Health Implications. Artifactual reduction of estimates of the magnitude of health inequities attributable to differential response rates could adversely affect efforts to reduce these inequities. (Am J Public Health. 2023;113(6):667-670. https://doi.org/10.2105/AJPH.2023.307267).

Unintended Consequences of COVID-19 Non-Pharmaceutical Interventions (NPIs) for Population Health and Health Inequalities.

Since the start of the COVID-19 pandemic in early 2020, governments around the world have adopted an array of measures intended to control the transmission of the SARS-CoV-2 virus, using both pharmaceutical and non-pharmaceutical interventions (NPIs). NPIs are public health interventions that do not rely on vaccines or medicines and include policies such as lockdowns, stay-at-home orders, school closures, and travel restrictions. Although the intention was to slow viral transmission, emerging research indicates that these NPIs have also had unintended consequences for other aspects of public health. Hence, we conducted a narrative review of studies investigating these unintended consequences of NPIs, with a particular emphasis on mental health and on lifestyle risk factors for non-communicable diseases (NCD): physical activity (PA), overweight and obesity, alcohol consumption, and tobacco smoking. We reviewed the scientific literature using combinations of search terms such as 'COVID-19', 'pandemic', 'lockdowns', 'mental health', 'physical activity', and 'obesity'. NPIs were found to have considerable adverse consequences for mental health, physical activity, and overweight and obesity. The impacts on alcohol and tobacco consumption varied greatly within and between studies. The variability in consequences for different groups implies increased health inequalities by age, sex/gender, socioeconomic status, pre-existing lifestyle, and place of residence. In conclusion, a proper assessment of the use of NPIs in attempts to control the spread of the pandemic should be weighed against the potential adverse impacts on other aspects of public health. Our findings should also be of relevance for future pandemic preparedness and pandemic response teams.

Health inequalities in later life.

British Journal of Community NursingVol. 28, No. 3 While's WordsHealth inequalities in later lifeAlison WhileAlison WhileEmeritus Professor of Community Nursing, Florence Nightingale Faculty of Nursing, King’s College London and Midwifery and Fellow of the Queen’s Nursing InstituteSearch for more papers by this authorAlison WhilePublished Online:28 Feb 2023https://doi.org/10.12968/bjcn.2023.28.3.112AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article References Centre for Ageing Better. Ethnic health inequalities in later life. 2021a. https://ageing-better.org.uk/resources/ethnic-health-inequalities-in-later-life?gclid=Cj0KCQiAlKmeBhCkARIsAHy7WVuRwyV0d0gRE_V7w5VfPIR9a3t7pSnhoR4R-yB8OvhbSywWIDxxKUkaAlNDEATw_wcB (accessed 02 February 2023) Google ScholarCentre for Ageing Better. Boom and bust? The last baby boomers and their prospects for later life. 2021b. https://ageing-better.org.uk/sites/default/files/2021-11/boom-and-bust-report-the-last-baby-boomers.pdf (accessed 02 February 2023) Google ScholarCentre for Ageing Better. The State of Ageing 2022. 2022. https://ageing-better.org.uk/sites/default/files/2022-04/The-State-of-Ageing-2022-online.pdf (accessed 02 February 2023) Google ScholarNHS England. The NHS Long Term Plan. 2019. https://www.longtermplan.nhs.uk/wp-content/uploads/2019/08/nhs-long-term-plan-version-1.2.pdf (accessed 02 February 2023) Google ScholarOffice for National Statistics. Health state life expectancy by national deprivation deciles, England: 2018 to 2020. 2022. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthinequalities/bulletins/healthstatelifeexpectanciesbyindexofmultipledeprivationimd/2018to2020 (accessed 02 February 2023) Google ScholarPublic Health England. An evidence summary of health inequalities in older populations in coastal and rural areas. 2019a. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/824717/Health_Inequalities_in_Ageing_in_Rural_and_Coastal_Areas-Messages_and_summary.pdf (accessed 02 February 2023) Google ScholarPublic Health England. Guidance. All our health: about the framework. 2019b. https://www.gov.uk/government/publications/all-our-health-about-the-framework/all-our-health-about-the-framework Google ScholarPublic Health England. Guidance: Health disparities and health inequalities: applying All our Health. 2022. https://www.gov.uk/government/publications/health-disparities-and-health-inequalities-applying-all-our-health/health-disparities-and-health-inequalities-applying-all-our-health#taking-action (accessed 02 February 2023) Google ScholarStopforth S, Kapadia D, Nazroo J, Béécares L. Ethnic inequalities in health in later life, 1993—2017: The persistence of health disadvantage over more than two decades. Ageing and Society: 1-29. https://doi.org/10.1017/S0144686X2100146X Google ScholarThe Health Foundation. Quantifying health inequalities in England. 2022. https://www.health.org.uk/news-and-comment/charts-and-infographics/quantifying-health-inequalities (accessed 02 February 2023) Google ScholarThe King’s Fund. What are health inequalities? 2022. https://www.kingsfund.org.uk/publications/what-are-health-inequalities#impact-of-covid-19 (accessed 02 February 2023) Google ScholarUniversity of Central Tancashire. A tale of two countrysides: remote and rural health and medicine. 2022. https://www.uclan.ac.uk/assets/pdf/rural-medicine-and-health-report.pdf (accessed 02 February 2023) Google Scholar FiguresReferencesRelatedDetails 2 March 2023Volume 28Issue 3ISSN (print): 1462-4753ISSN (online): 2052-2215 Metrics History Published online 28 February 2023 Published in print 2 March 2023 Information© MA Healthcare LimitedPDF download

Heterogenous Effects of Local Government Spending on Mortality Across Racial Groups Among Working-Age Adults in the U.S.

Mortality among working-age adults has been rising, but the underlying reasons are not fully known. Given the relationship between higher levels of public spending and better health outcomes, it is possible that differences in public spending may explain some of this trend. This study examined the association between county government spending and overall and race-specific mortality among working-age adults over time. Hybrid random effects models, which specified separate within- and between-county effects, were used to assess the relationship between per capita county spending and overall and race-specific mortality rates from 1980 to 2019. All models controlled for median age, percentage of the population with at least a bachelor's degree, unemployment rate, and poverty rate. In the overall population, counties with higher k-12 education, library, and police spending were significantly associated with higher mortality rates. Among Black adults, counties with lower corrections spending, lower waste management spending, and higher highway spending had significantly higher Black mortality. Among White adults, counties with lower natural resource spending and higher police spending had higher White mortality. This study showed that differences in public spending may explain the geographic and racial differences in mortality among working-age adults. Local governments should consider public spending as a tool to improve overall population health and address racial health inequalities in their jurisdictions.

Religious Involvement and Allostatic Resilience: Findings from a Community Study of Black and White Americans.

Wide inequities in stress and health have been documented between Black and White women and men in the United States. This study asks: How does religion factor into these inequities? We approach this open question from a biopsychosocial perspective, developing three hypotheses for the stress-coping effects of religiosity between groups. We then test our hypotheses with survey and biomarker data from the Nashville Stress and Health Study (2011-2014), a probability sample of Black and White women and men from Davidson County, Tennessee. We find that Black women score the highest on all indicators of religiosity, followed by Black men, White women, and White men. We also find that increased divine control and religious coping predict higher levels of resiliency biomarkers for Black women only and lower levels for White respondents, especially White men. We discuss how our findings inform broader population health inequities and outline several avenues for future research.

Socioeconomic Status, the Countries' Socioeconomic Development and Mental Health: Observational Evidence for Persons with Spinal Cord Injury from 22 Countries.

Objectives: Evidence on social inequalities in mental health of persons with physical impairments is limited. We therefore investigate associations of individual-level socioeconomic status (SES) and the country-level socioeconomic development (SED) with mental health in persons with spinal cord injury (SCI). Methods: We analyzed data from 12,588 participants of the International SCI Community Survey from 22 countries. To investigate individual-level inequalities, SES indicators (education, income, financial hardship, subjective status) were regressed on the SF-36 mental health index (MHI-5), stratified by countries. Country-level inequalities were analyzed with empirical Bayes estimates of random intercepts derived from linear mixed-models adjusting for individual-level SES. Results: Financial hardship and subjective status consistently predicted individual-level mental health inequalities. Country-level SED was inconsistently related to mental health when adjusting for individual-level SES. It however appeared that higher SED was associated with better mental health within higher-resourced countries. Conclusion: Reducing impoverishment and marginalization may present valuable strategies to reduce mental health inequalities in SCI populations. Investigations of country-level determinants of mental health in persons with SCI should consider influences beyond country-level SED, such as cultural factors.