Differential Employment Quality and Educational Inequities in Mental Health: A Causal Mediation Analysis.

BACKGROUND: In the United States, inequities in mental distress between those more and less educated have widened over recent years. Employment quality, a multidimensional construct reflecting the relational and contractual features of employer-employee relationships, may mediate this inequity throughout adulthood, yet no study has examined the extent of this mediation in the United States, or how it varies across racialized and gendered populations. METHODS: Using the information on working-age adults from the 2001 to 2019 Panel Study of Income Dynamics, we construct a composite measure of employment quality via principal component analysis. Using this measure and the parametric mediational g-formula, we then estimate randomized interventional analogs for natural direct and indirect effects of low baseline educational attainment (≤high school: no/yes) on the end-of-follow-up prevalence of moderate mental distress (Kessler-6 Score ≥5: no/yes) overall and within subgroups by race and gender. RESULTS: We estimate that low educational attainment would result in a 5.3% greater absolute prevalence of moderate mental distress at the end of follow-up (randomized total effect: 5.3%, 95% CI = 2.2%, 8.4%), with approximately 32% of this effect mediated by differences in employment quality (indirect effect: 1.7%, 95% CI = 1.0%, 2.5%). The results of subgroup analyses across race and gender are consistent with the hypothesis of mediation by employment quality, though not when selecting on full employment (indirect effect: 0.6%, 95% CI = -1.0%, 2.6%). CONCLUSIONS: We estimate that approximately one-third of US educational inequities in mental distress may be mediated by differences in employment quality.

Dead Labor: Mortality Inequities by Class, Gender, and Race/Ethnicity in the United States, 1986-2019.

Objectives. To estimate social class inequities in US mortality using a relational measure based on power over productive property and workers' labor. Methods. We used nationally representative 1986-2018 National Health Interview Survey data with mortality follow-up through December 31, 2019 (n = 911 850). First, using business-ownership, occupational, and employment-status data, we classified respondents as incorporated business owners (IBOs), unincorporated business owners (UBOs), managers, workers, or not in the labor force (NLFs). Next, using inverse-probability-weighted survival curves, we estimated class mortality inequities overall, after subdividing workers by employment status and occupation, and by period, gender, race/ethnicity, and education. Results. UBOs, workers, and NLFs had, respectively, 6.3 (95% confidence interval [CI] = -8.1, -4.6), 6.6 (95% CI = -8.1, -5.0), and 19.4 (95% CI = -21.0, -17.7) per 100 lower 34-year survival rates than IBOs. Mortality risk was especially high for unemployed, blue-collar, and service workers. Inequities increased over time and were greater among male, racially minoritized, and less-educated respondents. Conclusions. We estimated considerable mortality inequities by class, gender, and race/ethnicity. We also estimated that class mortality inequities are increasing, threatening population health. Public Health Implications. Addressing class inequities likely requires structural, worker-empowering interventions. (Am J Public Health. 2023;113(6):637-646. https://doi.org/10.2105/AJPH.2023.307227).

A tutorial on a marginal structural modeling approach to mediation analysis in occupational health research: Investigating education, employment quality, and mortality.

Life expectancy inequities between more- and less-educated groups have grown by 1 to 2 years over the last several decades in the United States. Simultaneously, employment conditions for many workers have deteriorated. Researchers hypothesize that these adverse conditions mediate educational inequities in mortality. However, methodological barriers have impeded research on the role of employment conditions and other hazards as mediating factors in health inequities. Indeed, traditional mediation analysis methods are often biased in occupational health settings, including in those with exposure-mediator interactions and mediator-outcome confounders that are caused by exposure. In this paper, we outline-and provide code for-a marginal structural modeling (MSM) approach for estimating total effects and controlled direct effects originally proposed elsewhere, which can be applied to common mediation analysis settings in occupational health research. As an example, we apply our approach to assess the extent to which disparities in employment quality (EQ)-a multidimensional construct characterizing the terms and conditions of the worker-employer relationship-explained educational inequities in mortality in a 1999-2015 US Panel Study of Income Dynamics sample of workers with mortality follow-up through 2017. Under certain strong assumptions described in the text, our estimates suggest that over 70% of the educational inequity in mortality would have been eliminated if EQ had been at the 80th percentile (100th = best) across exposure groups.

The Inequitable Burden of the COVID-19 Pandemic Among Marginalized Older Workers in the United States: An Intersectional Approach.

OBJECTIVES: The COVID-19 pandemic has profoundly affected the lives of people globally, widening long-standing inequities. We examined the COVID-19 pandemic's impact on employment conditions by race/ethnicity, gender, and educational attainment and the association between such conditions and well-being in older adults in the United States. METHODS: Using data from the Health and Retirement Study respondents interviewed between May 2020 and May 2021 when they were ≥55 years of age, we examined intersectional patterns in COVID-19-related changes in employment conditions among 4,107 participants working for pay at the start of the pandemic. We also examined the compounding nature of changes in employment conditions and their association with financial hardship, food insecurity, and poor self-rated health. RESULTS: Relative to non-Hispanic White men with greater than high school education (>HS), Black and Latinx men and women were more likely to experience job loss irrespective of education; among those who did not experience job loss, men with ≤HS reporting Black, Latinx, or "other" race were >90% less likely to transition to remote work. Participants who experienced job loss with decreased income or continued in-person employment with decreased income/shift changes had greater prevalence of financial hardship, food insecurity, and poor/fair self-rated health than others. DISCUSSION: The impact of COVID-19 on employment conditions is inequitably patterned and is associated with financial hardship, food insecurity, and adverse health in older adults. Policies to improve employment quality and expand social insurance programs among this group are needed to reduce growing inequities in well-being later in life.

Wage theft and life expectancy inequities in the United States: A simulation study.

Wage theft - employers not paying workers their legally entitled wages and benefits - costs workers billions of dollars annually. We tested whether preventing wage theft could increase U.S. life expectancy and decrease inequities therein. We obtained nationally representative estimates of the 2001-2014 association between income and expected age at death for 40-year-olds (40 plus life expectancy at age 40) compiled from tax and Social Security Administration records, and estimates of the burden of wage theft from several sources, including estimates regarding minimum-wage violations (not paying workers the minimum wage) developed from Current Population Survey data. After modeling the relationship between income and expected age at death, we simulated the effects of scenarios preventing wage theft on mean expected age at death, assuming a causal effect of income on expected age at death. We simulated several scenarios, including one using data suggesting minimum-wage violations constituted 38% of all wage theft and caused 58% of affected workers' losses. Among women in the lowest income decile, mean expected age at death was 0.17 years longer in the counterfactual scenario than observed (95% confidence interval [CI]: 0.11-0.22), corresponding to 528,685 (95% CI: 346,018-711,353) years extended in the total 2001-2014 age-40 population. Among men in the lowest decile, the estimates were 0.12 (95% CI: 0.07-0.17) and 380,502 (95% CI: 229,630-531,374). Moreover, among women, mean expected age at death in the counterfactual scenario increased 0.16 (95% CI: 0.06-0.27) years more among the lowest decile than among the highest decile; among men, the estimate was 0.12 (95% CI: 0.03-0.21).

Beyond Hours Worked and Dollars Earned: Multidimensional EQ, Retirement Trajectories and Health in Later Life.

The working lives of Americans have become less stable over the past several decades and older adults may be particularly vulnerable to these changes in employment quality (EQ). We aimed to develop a multidimensional indicator of EQ among older adults and identify EQ and retirement trajectories in the United States. Using longitudinal data on employment stability, material rewards, workers' rights, working-time arrangements, unionization, and interpersonal power relations from the Health and Retirement Study (HRS), we used principal component analysis to construct an EQ score. Then, we used sequence analysis to identify late-career EQ trajectories (age 50-70 years; N = 11,958 respondents), overall and by sociodemographics (race, gender, educational attainment, marital status). We subsequently examined the sociodemographic, employment, and health profiles of these trajectories. We identified 10 EQ trajectories; the most prevalent trajectories were Minimally Attached and Wealthy (13.9%) and Good EQ to Well-off Retirement (13.7%), however, 42% of respondents were classified into suboptimal trajectories. Those in suboptimal trajectories were disproportionately women, people of color, and less-educated. Individuals in the Poor EQ to Delayed and Poor Retirement and Unattached and Poor clusters self-reported the greatest prevalence of poor health and depression, while individuals in the Wealthy Business Owners and Great EQ to Well-off Retirement clusters self-reported the lowest prevalence of poor health and depression at baseline. Trajectories were substantially constrained for women of color. Although our study demonstrates EQ is inequitably distributed in later life, labor organizing and policy change may afford opportunities to improve EQ and retirement among marginalized populations.

Truer Facts Through Stronger Values: Confronting Science's Sociopolitical Realities.

Assaults on science have led scientists to demand "politics-free/values-free" science that safeguards science against error by grounding it in "politically neutral" evidence. Considering racial disparities in lead poisoning, HIV/AIDS, and COVID-19, we show the solution is doomed. Politically charged beliefs are essential for assessing public-health research; thus, the beliefs' truth affects the research's accuracy. However, science's sociopolitical uses systematically distort politically charged beliefs. Since errors assimilate into our scientific corpus and inform new hypotheses, scientists need accurate sociopolitical theories of distorting forces to identify errors. Analyzing Black-Panther opposition to violence research, we argue since racial disparities structure society and science has been distorted to buttress racial inequities, knowledgeable anti-racist scientists exert corrective forces on research. They hold accurate politically charged beliefs about sociopolitical forces shaping science and health, and are committed to eradicating distortions. Thus, rather than quarantining politically charged beliefs, scientists should sharpen their sociopolitical theories and normative commitments.

Free agents or cogs in the machine? Classed, gendered, and racialized inequities in hazardous working conditions.

INTRODUCTION: Few epidemiologic studies have used relational social class measures based on control over productive assets and others' labor to analyze inequities in health-affecting working conditions. Moreover, these studies have often neglected the gendered and racialized dimensions of class relations, dimensions which are essential to understanding population patterns of health inequities. Our study fills these gaps. METHODS: Using data from the 2002-2018 U.S. General Social Survey, we assigned respondents to the worker, manager, petit bourgeois, or capitalist classes based on their supervisory authority and self-employment status. Next, we estimated class, class-by-gender, and class-by-race inequities in compensation/safety, the labor process, control, and conflict, using Poisson models. We also estimated gender-by-race inequities among workers. RESULTS: We identified substantial class inequities, with worse conditions for workers, which is the largest class within genders and racialized groups, but also disproportionately consists of women and people of color (POC), particularly women of color (WOC). For example, relative to workers, capitalists were less likely to report that safety is not a priority (prevalence ratio [PR]: 0.41, 95% confidence interval [CI]: 0.21, 0.82), repetitive tasks (PR: 0.36, 95% CI: 0.21, 0.61), and lacking freedom (PR: 0.11, 95% CI: 0.05, 0.24). We also identified inequities among workers, with women and POC, particularly WOC, reporting worse conditions than white male workers, especially greater discrimination/harassment (WOC PR: 1.70, 95% CI: 1.36, 2.13). CONCLUSION: We identified substantial inequities in working conditions across intersecting classes, genders, and racialized groups. These inequities threaten workers' health, particularly among women and POC.

Intersectional trends in employment quality in older adults in the United States.

Americans' working lives have become more precarious over the past several decades. Worsening employment quality has been linked to poorer physical and mental health and may disproportionately impact marginalized working populations. We examined differences in the quality and character of worker-employer relationships among older workers in the United States (US) across intersecting gender-racial/ethnic-educational subgroups. Using longitudinal data on employment stability, material rewards, workers' rights, working-time arrangements, unionization, and interpersonal power relations from the Health and Retirement Study (1992-2016), we used principal components analysis to construct an employment quality (EQ) score. We estimated intersectional differences in EQ, overall and over time, using generalized estimating equations. Overall, EQ was greatest for white men with college degrees and poorest for Latinx women with < high school degrees. Over time, EQ tended to remain unchanged or slightly worsen across intersectional strata; the greatest EQ reduction was for Latinx women with college degrees, while the greatest improvement was for white women with high school degrees. There are enduring and growing inequities in EQ for older marginalized adults in the US, which may contribute to growing health inequities.

Union Burying Ground: Mortality, Mortality Inequities, and Sinking Labor Union Membership in the United States.

BACKGROUND: Over the last several decades in the United States, socioeconomic life-expectancy inequities have increased 1-2 years. Declining labor-union density has fueled growing income inequities across classes and exacerbated racial income inequities. Using Panel Study of Income Dynamics (PSID) data, we examined the longitudinal union-mortality relationship and estimated whether declining union density has also exacerbated mortality inequities. METHODS: Our sample included respondents ages 25-66 to the 1979-2015 PSID with mortality follow-up through age 68 and year 2017. To address healthy-worker bias, we used the parametric g-formula. First, we estimated how a scenario setting all (versus none) of respondents' employed-person-years to union-member employed-person-years would have affected mortality incidence. Next, we examined gender, racial, and educational effect modification. Finally, we estimated how racial and educational mortality inequities would have changed if union-membership prevalence had remained at 1979 (vs. 2015) levels throughout follow-up. RESULTS: In the full sample (respondents = 23,022, observations = 146,681), the union scenario was associated with lower mortality incidence than the nonunion scenario (RR = 0.90, 95% CI = 0.80, 0.99; RD per 1,000 = -19, 95% CI = -37, -1). This protective association generally held across subgroups, although it was stronger among the more-educated. However, we found little evidence mortality inequities would have lessened if union membership had remained at 1979 levels. CONCLUSIONS: To our knowledge, this was the first individual-level US-based study with repeated union-membership measurements to analyze the union-mortality relationship. We estimated a protective union-mortality association, but found little evidence declining union density has exacerbated mortality inequities; importantly, we did not incorporate contextual-level effects. See video abstract at, http://links.lww.com/EDE/B839.

Does the Union Make Us Strong? Labor-Union Membership, Self-Rated Health, and Mental Illness: A Parametric G-Formula Approach.

Union members enjoy better wages and benefits and greater power than nonmembers, which can improve health. However, the longitudinal union-health relationship remains uncertain, partially because of healthy-worker bias, which cannot be addressed without high-quality data and methods that account for exposure-confounder feedback and structural nonpositivity. Applying one such method, the parametric g-formula, to US-based Panel Study of Income Dynamics data, we analyzed the longitudinal relationships between union membership, poor/fair self-rated health (SRH), and moderate mental illness (Kessler 6-item score of ≥5). The SRH analyses included 16,719 respondents followed from 1985-2017, while the mental-illness analyses included 5,813 respondents followed from 2001-2017. Using the parametric g-formula, we contrasted cumulative incidence of the outcomes under 2 scenarios, one in which we set all employed-person-years to union-member employed-person-years (union scenario), and one in which we set no employed-person-years to union-member employed-person-years (nonunion scenario). We also examined whether the contrast varied by sex, sex and race, and sex and education. Overall, the union scenario was not associated with reduced incidence of poor/fair SRH (relative risk = 1.01, 95% confidence interval (CI): 0.95, 1.09; risk difference = 0.01, 95% CI: -0.03, 0.04) or moderate mental illness (relative risk = 1.02, 95% CI: 0.92, 1.12; risk difference = 0.01, 95% CI: -0.04, 0.06) relative to the nonunion scenario. These associations largely did not vary by subgroup.

Changes in precarious employment in the United States: A longitudinal analysis.

Objective This longitudinal study aimed to measure precarious employment in the US using a multidimensional indicator. Methods We used data from the National Longitudinal Survey of Youth (1988-2016) and the Occupational Information Network database to create a longitudinal precarious employment score (PES) among 7568 employed individuals over 18 waves (N=101 290 observations). We identified 13 survey indicators to operationalize 7 dimensions of precarious employment, which we included in our PES (range: 0-7, with 7 indicating the most precarious): material rewards, working-time arrangements, stability, workers' rights, collective organization, interpersonal relations, and training. Using generalized estimating equations, we estimated the mean PES and changes over time in the PES overall and by race/ethnicity, gender, education, income, and region. Results On average, the PES was 3.17 [standard deviation (SD) 1.19], and was higher among women (3.34, SD 1.20), people of color (Hispanics: 3.24, SD 1.23; non-Hispanic Blacks: 3.31, SD 1.23), those with less education (primary: 3.99, SD 1.07; high school: 3.43, SD 1.19), and with lower-incomes (3.84, SD 1.08), and those residing in the South (3.23, SD 1.17). From 1988 to 2016, the PES increased by 9% on average [0.29 points; 95% confidence interval (CI) 0.26-0.31]. While precarious employment increased over time across all subgroups, the increase was largest among males (0.35 points; 95% CI 0.33-0.39), higher-income (0.39 points; 95% CI 0.36-0.42) and college-educated (0.37 points; 95% CI 0.33-0.41) individuals. Conclusions Long-term decreases in employment quality are widespread in the US. Women and those from racialized and less-educated populations remain disproportionately precariously employed; however, we observed the largest increases among men, college graduates and higher-income individuals.

Life-course trajectories of employment quality and health in the U.S.: A multichannel sequence analysis.

The organization of employment in the U.S. has changed dramatically since the 1970s, causing decreased power and security for workers across many dimensions of the employment relationship. Multidimensional employment-quality (EQ) measures can be used to capture these changes and test their association with health. However, most public-health EQ studies have used cross-sectional, unidimensional data. We addressed these limitations using a longitudinal, multidimensional EQ measure and data on 2779 1985-2017 Panel Study of Income Dynamics respondents. First, using a multichannel sequence-analysis approach, we identified gender-specific clusters of mid-career (ages 29-50) EQ trajectories based on respondents' employment stability, material rewards, working-time arrangements, collective organization, and power relations. Next, we examined cross-cluster variation in respondent characteristics. Finally, we estimated the gender-specific associations between cluster-membership and post-sequence-analysis-period prevalence of poor/fair self-rated health (SRH) and moderate mental illness (Kessler-K6≥5). We identified five clusters among women and seven among men. Respondents in poor-EQ clusters were disproportionately people of color and less-educated; they also tended to report worse health. For example, among women, the prevalence of poor/fair SRH and moderate mental illness was lowest among standard-employment-relationship-like-non-union workers and the becoming self-employed, and greatest among minimally-attached, returning-to-the-labor-force, and precariously-employed workers. Meanwhile, among men, the prevalence of the outcomes was lowest among stably-high-wage workers and the wealthy self-employed, and greatest among exiting-the-labor-force and precariously-employed workers. Given the potential role of EQ in health inequities, researchers and practitioners should consider EQ in their work.

Under capital's thumb: longitudinal associations between relational social class and health.

BACKGROUND: We used a relational social-class measure based on property ownership and managerial authority to analyse the longitudinal relationships between class, self-rated health (SRH) and mental illness. To our knowledge, this is the first study using a relational social-class measure to evaluate these relationships longitudinally. METHODS: Using Panel Study of Income Dynamics data from 1984 to 2017, we first assigned respondents aged 25-64 to the not in the labour force (NILF), worker, manager, petit bourgeois (PB) or capitalist classes based on business ownership, managerial authority and employment status. Next, using Cox models, we estimated the confounder-adjusted associations between 2-year-lagged class and incidence of poor/fair SRH and serious mental illness. We also tested whether the associations varied by gender, whether they persisted after more-fully adjusting for traditional socioeconomic-status measures (education and income) and how they changed temporally. RESULTS: We identified large inequities in poor/fair SRH. NILFs had the greatest hazard, followed by workers, PBs, managers and capitalists. We also identified large inequities in serious mental illness; NILFs and workers had the greatest hazard, while capitalists had the lowest. Class inequities in both outcomes lessened but remained considerable after confounder and socioeconomic-status adjustment, and we found some evidence that the class-SRH relationship varied by gender, as being NILF was more harmful among men than women. Additionally, class inequities in the outcomes decreased somewhat over time. CONCLUSION: We identified substantial class inequities in SRH and mental illness. Our findings demonstrate the importance of using relational social-class measures to deepen understanding of health inequities' root causes.

Solidarity and disparity: Declining labor union density and changing racial and educational mortality inequities in the United States.

BACKGROUND: Recently, United States life expectancy has stagnated or declined for the poor and working class and risen for the middle and upper classes. Declining labor-union density-the percent of workers who are unionized-has precipitated burgeoning income inequity. We examined whether it has also exacerbated racial and educational mortality inequities. METHODS: From CDC, we obtained state-level all-cause and overdose/suicide mortality overall and by gender, gender-race, and gender-education from 1986-2016. State-level union density and demographic and economic confounders came from the Current Population Survey. State-level policy confounders included the minimum wage, the generosity of Aid to Families with Dependent Children or Temporary Assistance for Needy Families, and the generosity of unemployment insurance. To model the exposure-outcome relationship, we used marginal structural modeling. Using state-level inverse-probability-of-treatment-weighted Poisson models with state and year fixed effects, we estimated 3-year moving average union density's effects on the following year's mortality rates. Then, we tested for gender, gender-race, and gender-education effect-modification. Finally, we estimated how racial and educational all-cause mortality inequities would change if union density increased to 1985 or 1988 levels, respectively. RESULTS: Overall, a 10% increase in union density was associated with a 17% relative decrease in overdose/suicide mortality (95% confidence interval [CI]: 0.70, 0.98), or 5.7 lives saved per 100 000 person-years (95% CI: -10.7, -0.7). Union density's absolute (lives-saved) effects on overdose/suicide mortality were stronger for men than women, but its relative effects were similar across genders. Union density had little effect on all-cause mortality overall or across subgroups, and modeling suggested union-density increases would not affect mortality inequities. CONCLUSIONS: Declining union density (as operationalized in this study) may not explain all-cause mortality inequities, although increases in union density may reduce overdose/suicide mortality.

Beyond the bus stop: where transit users walk.

OBJECTIVES: Extending the health benefits of public transit requires understanding how transit use affects pedestrian activity, including pedestrian activity not directly temporally or spatially related to transit use. In this study, we identified where transit users walked on transit days compared with non-transit days within and beyond 400m and 800m buffers surrounding their home and work addresses. METHODS: We used data collected from 2008-2013 in King County, Washington, from 221 non-physically-disabled adult transit users, who were equipped with an accelerometer, global positioning system (GPS), and travel diary. We assigned walking activity to the following buffer locations: less than and at least 400m or 800m from home, work, or home/work (the home and work buffers comprised the latter buffer). We used Poisson generalized estimating equations to estimate differences in minutes per day of total walking and minutes per day of non-transit-related walking on transit days compared with non-transit days in each location. RESULTS: We found that durations of total walking and non-transit-related walking were greater on transit days than on non-transit days in all locations studied. When considering the home neighborhood in isolation, most of the greater duration of walking occurred beyond the home neighborhood at both 400m and 800m; results were similar when considering the work neighborhood in isolation. When considering the neighborhoods jointly (i.e., by using the home/work buffer), at 400m, most of the greater duration of walking occurred beyond the home/work neighborhood. However, at 800m, most of the greater duration of walking occurred within the home/work neighborhood. CONCLUSIONS: Transit days were associated with greater durations of total walking and non-transit related walking within and beyond the home and work neighborhoods. Accordingly, research, design, and policy strategies focused on transit use and pedestrian activity should consider locations outside the home and work neighborhoods, in addition to locations within them.

Right-to-Work-for-Less: How Janus v. AFSCME Threatens Public Health.

In February 2018, the Supreme Court heard oral arguments in Janus v. AFSCME, a case poised to make right-to-work (or, as some call it, right-to-work-for-less) the law in the public sector. At issue is the constitutionality of requiring non-union members, who benefit from collective bargaining, to pay fees that support contract negotiations on the terms and conditions of their employment. We argue that a win for Janus would threaten public health by eroding organized labor's power to improve working conditions. Furthermore, we critique the dubious legal theory underpinning Janus's case and describe the moneyed political interests backing his legal representation. Finally, we chart a path forward for labor organizing in a post- Janus world, drawing inspiration from the winter 2018 educators' strike in West Virginia. Regardless of how Janus itself is decided, the issues raised in this article remain crucial because the ongoing weakening of unions by legislative and judicial means undermines workers' health and exacerbates inequities.

From Payday Loans To Pawnshops: Fringe Banking, The Unbanked, And Health.

The fringe banking industry, including payday lenders and check cashers, was nearly nonexistent three decades ago. Today it generates tens of billions of dollars in annual revenue. The industry's growth accelerated in the 1980s with financial deregulation and the working class's declining resources. With Current Population Survey data, we used propensity score matching to investigate the relationship between fringe loan use, unbanked status, and self-rated health, hypothesizing that the material and stress effects of exposure to these financial services would be harmful to health. We found that fringe loan use was associated with 38 percent higher prevalence of poor or fair health, while being unbanked (not having one's own bank account) was associated with 17 percent higher prevalence. Although a variety of policies could mitigate the health consequences of these exposures, expanding social welfare programs and labor protections would address the root causes of the use of fringe services and advance health equity.