Invited Commentary: Methods for Estimating Effects of Minimum Wages on Health.

Economists have been researching effects of minimum wages on unemployment, poverty, income inequality, and educational attainment for over 60 years. Epidemiologists have only recently begun researching minimum wages even though unemployment through education are central topics within social epidemiology. Buszkiewicz et al. (Am J Epidemiol. 2021;190(1):21-30) offer a welcome addition to this nascent literature. A commanding advantage of Buszkiewicz et al.'s study over others is its distinction between a "likely affected" group comprised of workers with ≤12 years of schooling versus "not likely affected" groups with ≥13 years of schooling. But there are disadvantages, common to other studies. Buszkiewicz et al. use cross-sectional data; they include the self-employed as well as part-time and part-year workers in their treatment groups. Their definitions of affected groups based on education create samples with 75% or more of workers who earn significantly above minimum wages; definitions are not based on wages. Inclusion of workers not subject to (e.g., self-employed) or affected by minimum wages biases estimates toward the null. Finally, within any minimum wage data set, it is the state-not federal-increases that account for the lion's share of increases and that form the natural experiments; however, state increases can occur annually whereas the development of chronic diseases might take decades.

Clinical Outcomes of Asynchronous Versus Synchronous Telepsychiatry in Primary Care: Randomized Controlled Trial.

BACKGROUND: Asynchronous telepsychiatry (ATP; delayed-time) consultations are a novel form of psychiatric consultation in primary care settings. Longitudinal studies comparing clinical outcomes for ATP with synchronous telepsychiatry (STP) are lacking. OBJECTIVE: This study aims to determine the effectiveness of ATP in improving clinical outcomes in English- and Spanish-speaking primary care patients compared with STP, the telepsychiatry usual care method. METHODS: Overall, 36 primary care physicians from 3 primary care clinics referred a heterogeneous sample of 401 treatment-seeking adult patients with nonurgent psychiatric disorders. A total of 184 (94 ATP and 90 STP) English- and Spanish-speaking participants (36/184, 19.6% Hispanic) were enrolled and randomized, and 160 (80 ATP and 80 STP) of them completed baseline evaluations. Patients were treated by their primary care physicians using a collaborative care model in consultation with the University of California Davis Health telepsychiatrists, who consulted with patients every 6 months for up to 2 years using ATP or STP. Primary outcomes (the clinician-rated Clinical Global Impressions [CGI] scale and the Global Assessment of Functioning [GAF]) and secondary outcomes (patients' self-reported physical and mental health and depression) outcomes were assessed every 6 months. RESULTS: For clinician-rated primary outcomes, ATP did not promote greater improvement than STP at 6-month follow-up (ATP vs STP, adjusted difference in follow-up at 6 months vs baseline differences for CGI: 0.2, 95% CI -0.2 to 0.6; P=.28; and GAF: -0.6, 95% CI -3.1 to 1.9; P=.66) or 12-month follow-up (ATP vs STP, adjusted difference in follow-up at 12 months vs baseline differences for CGI: 0.4, 95% CI -0.04 to 0.8; P=.07; and GAF: -0.5, 95% CI -3.3 to 2.2; P=.70), but patients in both arms had statistically and clinically significant improvements in both outcomes. There were no significant differences in improvement from baseline between ATP and STP on any patient self-reported ratings at any follow-up (all P values were between .17 and .96). Dropout rates were higher than predicted but similar between the 2 arms. Of those with baseline visits, 46.8% (75/160) did not have a follow-up at 1 year, and 72.7% (107/147) did not have a follow-up at 2 years. No serious adverse events were associated with the intervention. CONCLUSIONS: This is the first longitudinal study to demonstrate that ATP can improve clinical outcomes in English- and Spanish-speaking primary care patients. Although we did not find evidence that ATP is superior to STP in improving clinical outcomes, it is potentially a key part of stepped mental health interventions available in primary care. ATP presents a possible solution to the workforce shortage of psychiatrists and a strategy for improving existing systems of care. TRIAL REGISTRATION: ClinicalTrials.gov NCT02084979; https://clinicaltrials.gov/ct2/show/NCT02084979.

Sociodemographic Differences in the Association Between Obesity and Stress: A Propensity Score-Matched Analysis from the Korean National Health and Nutrition Examination Survey (KNHANES).

Few population-based studies have used an econometric approach to understand the association between two cancer risk factors, obesity and stress. This study investigated sociodemographic differences in the association between obesity and stress among Korean adults (6,546 men and 8,473 women). Data were drawn from the Korean National Health and Nutrition Examination Survey for 2008, 2009, and 2010. Ordered logistic regression models and propensity score matching methods were used to examine the associations between obesity and stress, stratified by gender and age groups. In women, the stress level of the obese group was found to be 27.6% higher than the nonobese group in the ordered logistic regression; the obesity effect on stress was statistically significant in the propensity score-matched analysis. Corresponding evidence for the effect of obesity on stress was lacking among men. Participants who were young, well-educated, and working were more likely to report stress. In Korea, obesity causes stress in women but not in men. Young women are susceptible to a disproportionate level of stress. More cancer prevention programs targeting young and obese women are encouraged in developed Asian countries.

California's nurse-to-patient ratio law and occupational injury.

OBJECTIVE: To determine whether state-mandated minimum nurse-to-patient staffing ratios in California hospitals had an effect on reported occupational injury and illness rates. METHODS: The difference-in-differences method was applied: The change in injury rates among hospital nurses after implementation of the law in California was compared to the change in 49 other states and the District of Columbia combined. Data were drawn from the US Bureau of Labor Statistics and the California Employment Development Department, including numerator estimates of injury and illness cases and denominator estimates of the number of registered nurses (RNs) and licensed practical nurses (LPNs) employed in hospitals. Confidence intervals (CIs) for rates were constructed based on assumptions that favored the null hypothesis. RESULTS: The most probable difference-in-differences estimate indicated that the California law was associated with 55.57 fewer occupational injuries and illnesses per 10,000 RNs per year, a value 31.6 % lower than the expected rate without the law. The most probable reduction for LPNs was 38.2 %. Analyses of CIs suggested that these reductions were unlikely to be due to chance [corrected]. CONCLUSIONS: Despite significant data restrictions and corresponding methodological limitations, the evidence suggests that the law was effective in reducing occupational injury and illness rates for both RNs and LPNs. Whether these 31.6 and 38.2 % reductions are maintained over time remains to be seen [corrected].

Estimating Effects of Wages on Smoking Prevalence Using Labor Unions as Instrumental Variables.

OBJECTIVES: To test for the effects of wages on smoking using labor unions as instrumental variables. METHODS: We analyzed four waves of the Panel Study of Income Dynamics (2013 to 2019 alternate years). The overall sample included workers aged 18 to 70 years in 2013 and subsamples within blue + clerical/white-collar and private/public sector jobs (N = 37,117 to 8446 person-years). We used two instrumental variables: worker's union membership and states' right-to-work laws. RESULTS: $1 (2019 US dollars) increases in wages-per-hour resulted in 1.3 ( P < 0.001) percentage point decreases in smoking prevalence (8.2% decreases at the smoking mean). Larger effect sizes and strong statistical significance were found for blue-collar + clerical and private-sector subsamples; smaller sizes and insignificance were found for public-sector and white-collar subsamples. CONCLUSIONS: Unions increase wages, and higher wages, in turn, reduce smoking. Wages and labor unions are underappreciated social determinants of health.

Lifetime earnings for physicians across specialties.

BACKGROUND: Earlier studies estimated annual income differences across specialties, but lifetime income may be more relevant given physicians' long-term commitments to specialties. METHODS: Annual income and work hours data were collected from 6381 physicians in the nationally representative 2004-2005 Community Tracking Study. Data regarding years of residency were collected from AMA FREIDA. Present value models were constructed assuming 3% discount rates. Estimates were adjusted for demographic and market covariates. Sensitivity analyses included 4 alternative models involving work hours, retirement, exogenous variables, and 1% discount rate. Estimates were generated for 4 broad specialty categories (Primary Care, Surgery, Internal Medicine and Pediatric Subspecialties, and Other), and for 41 specific specialties. RESULTS: The estimates of lifetime earnings for the broad categories of Surgery, Internal Medicine and Pediatric Subspecialties, and Other specialties were $1,587,722, $1,099,655, and $761,402 more than for Primary Care. For the 41 specific specialties, the top 3 (with family medicine as reference) were neurological surgery ($2,880,601), medical oncology ($2,772,665), and radiation oncology ($2,659,657). The estimates from models with varying rates of retirement and including only exogenous variables were similar to those in the preferred model. The 1% discount model generated estimates that were roughly 150% larger than the 3% model. CONCLUSIONS: There was considerable variation in the lifetime earnings across physician specialties. After accounting for varying residency years and discounting future earnings, primary care specialties earned roughly $1-3 million less than other specialties. Earnings' differences across specialties may undermine health reform efforts to control costs and ensure adequate numbers of primary care physicians.

Are low wages risk factors for hypertension?

OBJECTIVE: Socio-economic status (SES) is strongly correlated with hypertension. But SES has several components, including income and correlations in cross-sectional data need not imply SES is a risk factor. This study investigates whether wages-the largest category within income-are risk factors. METHODS: We analysed longitudinal, nationally representative US data from four waves (1999, 2001, 2003 and 2005) of the Panel Study of Income Dynamics. The overall sample was restricted to employed persons age 25-65 years, n = 17 295. Separate subsamples were constructed of persons within two age groups (25-44 and 45-65 years) and genders. Hypertension incidence was self-reported based on physician diagnosis. Our study was prospective since data from three base years (1999, 2001, 2003) were used to predict newly diagnosed hypertension for three subsequent years (2001, 2003, 2005). In separate analyses, data from the first base year were used to predict time-to-reporting hypertension. Logistic regressions with random effects and Cox proportional hazards regressions were run. RESULTS: Negative and strongly statistically significant correlations between wages and hypertension were found both in logistic and Cox regressions, especially for subsamples containing the younger age group (25-44 years) and women. Correlations were stronger when three health variables-obesity, subjective measures of health and number of co-morbidities-were excluded from regressions. Doubling the wage was associated with 25-30% lower chances of hypertension for persons aged 25-44 years. CONCLUSIONS: The strongest evidence for low wages being risk factors for hypertension among working people were for women and persons aged 25-44 years.

Economic burden of occupational injury and illness in the United States.

CONTEXT: The allocation of scarce health care resources requires a knowledge of disease costs. Whereas many studies of a variety of diseases are available, few focus on job-related injuries and illnesses. This article provides estimates of the national costs of occupational injury and illness among civilians in the United States for 2007. METHODS: This study provides estimates of both the incidence of fatal and nonfatal injuries and nonfatal illnesses and the prevalence of fatal diseases as well as both medical and indirect (productivity) costs. To generate the estimates, I combined primary and secondary data sources with parameters from the literature and model assumptions. My primary sources were injury, disease, employment, and inflation data from the U.S. Bureau of Labor Statistics (BLS) and the Centers for Disease Control and Prevention (CDC) as well as costs data from the National Council on Compensation Insurance and the Healthcare Cost and Utilization Project. My secondary sources were the National Academy of Social Insurance, literature estimates of Attributable Fractions (AF) of diseases with occupational components, and national estimates for all health care costs. Critical model assumptions were applied to the underreporting of injuries, wage-replacement rates, and AFs. Total costs were calculated by multiplying the number of cases by the average cost per case. A sensitivity analysis tested for the effects of the most consequential assumptions. Numerous improvements over earlier studies included reliance on BLS data for government workers and ten specific cancer sites rather than only one broad cancer category. FINDINGS: The number of fatal and nonfatal injuries in 2007 was estimated to be more than 5,600 and almost 8,559,000, respectively, at a cost of $6 billion and $186 billion. The number of fatal and nonfatal illnesses was estimated at more than 53,000 and nearly 427,000, respectively, with cost estimates of $46 billion and $12 billion. For injuries and diseases combined, medical cost estimates were $67 billion (27% of the total), and indirect costs were almost $183 billion (73%). Injuries comprised 77 percent of the total, and diseases accounted for 23 percent. The total estimated costs were approximately $250 billion, compared with the inflation-adjusted cost of $217 billion for 1992. CONCLUSIONS: The medical and indirect costs of occupational injuries and illnesses are sizable, at least as large as the cost of cancer. Workers' compensation covers less than 25 percent of these costs, so all members of society share the burden. The contributions of job-related injuries and illnesses to the overall cost of medical care and ill health are greater than generally assumed.

National trends in occupational injuries before and after 1992 and predictors of workers' compensation costs.

OBJECTIVE: Numbers and costs of occupational injuries and illnesses are significant in terms of morbidity and dollars, yet our understanding of time trends is minimal. We investigated trends and addressed some common hypotheses regarding causes of fluctuations. METHODS: We pulled data on incidence rates (per 100 full-time employed workers) for injuries and illnesses from the U.S. Bureau of Labor Statistics and on costs and benefits from the National Academy of Social Insurance for 1973 through 2007. Rates reflected all injury and illness cases, lost work-time cases, and cases resulting in at least 31 days away from work. We adjusted dollar costs (premiums) and benefits for inflation and measured them per employed worker. We plotted data in time-trend charts and ran linear regressions. RESULTS: From 1973 to 1991, there was a weak to nonexistent downward trend for injury and illness rates, and rates were strongly and negatively correlated with the unemployment rate. From 1992 to 2007, there were strong, consistent downward trends, but no longer were there statistically significant correlations with unemployment. Significant predictors (and signs) of workers' compensation premiums for 1973-2007 included medical price inflation (positive), number of lost-time injuries (positive), the Dow Jones Industrial Average (negative), and inflation-adjusted interest rate on U.S. Treasury bonds (negative). Dollars of benefits were positively and significantly predicted by medical inflation and number of lost-time cases. For 1992-2007, the Dow Jones variable was the only robust predictor of premiums; the number of injuries was not a significant positive predictor. CONCLUSION: We had two major conclusions. First, the year 1992 marked a sharp contrast in trends and correlations between unemployment and incidence rates for occupational injuries and illnesses. Second, for the entire time period (1973-2007), insurance carriers' premiums were strongly associated with returns on investments.

Incidence of workers compensation indemnity claims across socio-demographic and job characteristics.

BACKGROUND: We hypothesized that low socioeconomic status, employer-provided health insurance, low wages, and overtime were predictors of reporting workers compensation indemnity claims. We also tested for gender and race disparities. METHODS: Responses from 17,190 (person-years) Americans participating in the Panel Study of Income Dynamics, 1997-2005, were analyzed with logistic regressions. The dependent variable indicated whether the subject collected benefits from a claim. RESULTS: Odds ratios for men and African-Americans were relatively large and strongly significant predictors of claims; significance for Hispanics was moderate and confounded by education. Odds ratios for variables measuring education were the largest for all statistically significant covariates. Neither low wages nor employer-provided health insurance was a consistent predictor. Due to confounding from the "not salaried" variable, overtime was not a consistently significant predictor. CONCLUSION: Few studies use nationally representative longitudinal data to consider which demographic and job characteristics predict reporting workers compensation indemnity cases. This study did and tested some common hypotheses about predictors.

Treatment design, health outcomes, and demographic categories in the literature on minimum wages and health.

This literature review analyzes studies from the US, Canada, the UK, and Europe from inception to April 1, 2021 and focuses on treatment designs, health outcomes, demographic categories and data issues. Study designs are classified as treatment-effect-on-the-treated (7 studies), intent-to-treat (37), and what may be called possible-effects-on-anyone (10). Treatment-effects-on-the-treated designs are best for addressing the longstanding question: does income affect health or vice versa? I argue that they are also better for estimating the overall effect of minimum wages on health. Health outcomes are grouped into seven broad categories, such as overall physiological health and behavior, and 33 narrow categories, such as self-rated health and smoking. Demographic categories include gender, race/ethnicity, and age. The preponderance of evidence suggests that studies relying on the treatment-effect-on-the-treated and possible-effects-on-anyone designs find minimum wages improve health; there is no preponderance of evidence for overall health within intent-to-treat designs. With respect to specific health outcomes and demographic categories, there is no preponderance of evidence, except for improving infant and child health. One data issue concerns whether either intent-to-treat or possible-effects-on-everyone studies are reliable given that likely more than 70 % of people in their samples earn substantially above minimum wages thereby favoring the null hypothesis. Treatment-effect-on-the-treated designs are likely the best designs, and findings are largely consistent in showing that minimum wages improve some measures of health, for example, financial anxiety.

Labor unions and health: A literature review of pathways and outcomes in the workplace.

Extensive economic research demonstrates correlations between unions with wages, income inequality, health insurance, discrimination, and other factors. Corresponding epidemiologic literature demonstrates correlations between income, income inequality, insurance, discrimination, and other factors with health. The first purpose of this narrative review is to link these literatures and identify 28 possible pathways whereby labor unions might affect the health of workers. This review is restricted to effects within workplaces; we do not consider unions' political activities. This review covers studies from the US, Europe, and Canada from 1980 through April 1, 2021. Pathways are grouped within five domains informed by the CDC 5-domain model of social determinants of health and the traditional 3-domain model of occupational medicine. Linked pathways include wages, inequality, excessive overtime, job satisfaction, employer-provided health insurance (EPHI), and discrimination. Second, we identify studies analyzing correlations between unions directly with health outcomes that do not require links. Outcomes include occupational injuries, sickness absence, and drug overdose deaths. Third, we offer judgments on the strength of pathways and outcomes --- labeled "consensus," "likely," "disputed" or "unknown" --- based on literature summaries. In our view, whereas there are four "consensus" pathways and outcomes and 16 "likely" pathways and outcomes for unions improving health, there are no "consensus" or "likely" pathways for harming health. The strongest "consensus" pathways and outcomes with salubrious associations include EPHI, OSHA inspections, dangerous working conditions, and injury deaths. Fourth, we identify research gaps and suggest methods for future studies. Unions are an underappreciated social determinant of health.

Sex-Specific Impact of Changes in Job Status on Suicidal Ideation.

Background: Around the globe, 800,000 people die from suicide every year. Despite being one of the leading causes of death, suicide remains a low public health priority. Korea has the second highest total suicide rate among Organisation for Economic Co-operation and Development (OECD) countries. Aims: The aim of this study was to explore how changes of job status influence suicidal risk in Korea, which lags behind other OECD countries in job security because temporary and part-time jobs are more prevalent in Korea. Method: We made use of a large longitudinal dataset, the Korea Health Panel (KHP). Results: Our findings revealed that a negative change in employment status increased the risk of suicide, but only for males. Limitations: Some individuals might intentionally change their job status, but the data do not indicate why the job status of an individual changes. Conclusion: These findings provide useful insights regarding the Korean labor market. In particular, tackling the issue of job stability, providing training polices for the unemployed and under-employed, and considering social insurance schemes may help to reduce suicide risk.

Physician career satisfaction within specialties.

BACKGROUND: Specialty-specific data on career satisfaction may be useful for understanding physician workforce trends and for counseling medical students about career options. METHODS: We analyzed cross-sectional data from 6,590 physicians (response rate, 53%) in Round 4 (2004-2005) of the Community Tracking Study Physician Survey. The dependent variable ranged from +1 to -1 and measured satisfaction and dissatisfaction with career. Forty-two specialties were analyzed with survey-adjusted linear regressions RESULTS: After adjusting for physician, practice, and community characteristics, the following specialties had significantly higher satisfaction levels than family medicine: pediatric emergency medicine (regression coefficient = 0.349); geriatric medicine (0.323); other pediatric subspecialties (0.270); neonatal/prenatal medicine (0.266); internal medicine and pediatrics (combined practice) (0.250); pediatrics (0.250); dermatology (0.249);and child and adolescent psychiatry (0.203). The following specialties had significantly lower satisfaction levels than family medicine: neurological surgery (-0.707); pulmonary critical care medicine (-0.273); nephrology (-0.206); and obstetrics and gynecology (-0.188). We also found satisfaction was significantly and positively related to income and employment in a medical school but negatively associated with more than 50 work-hours per-week, being a full-owner of the practice, greater reliance on managed care revenue, and uncontrollable lifestyle. We observed no statistically significant gender differences and no differences between African-Americans and whites. CONCLUSION: Career satisfaction varied across specialties. A number of stakeholders will likely be interested in these findings including physicians in specialties that rank high and low and students contemplating specialty. Our findings regarding "less satisfied" specialties should elicit concern from residency directors and policy makers since they appear to be in critical areas of medicine.

Changing SNAP-Participation Trends Among Farmworker Households in the U.S., 2003-2012.

We investigated Supplemental Nutrition Assistance Program (SNAP) participation among citizen, documented and undocumented immigrant hired crop farmworkers for ten recent years. We analyzed population representative data from the National Agricultural Workers Survey for 2003-2012 (N = 18,243 households). Time-chart, simple mean differences, and logistic regressions described farmworker household participation in SNAP. The 2008 financial crisis almost doubled SNAP-participation by agriculture households (6.5% in 2003-2007 vs. 11.3% in 2008-2012). The increasing SNAP-participation was found for citizen, documented and undocumented immigrant households. We found low participation among documented (OR 0.67, 95% CI 0.56-0.8) and undocumented immigrants (OR 0.63, 95% CI 0.54-0.74) compared to citizens. Low odds ratios (OR 0.70, 95% CI 0.55-0.89) were found for Hispanic-citizens as compared with non-Hispanic white-citizens. Our results may help inform the debate surrounding the effects of the financial crisis on SNAP-participation and on differences in participation among citizens, immigrants, Hispanics and non-Hispanics, the latter suggesting ethnic farmworker disparities in SNAP-participation.