The causal effect of mental health on labor market outcomes: The case of stress-related mental disorders following a human-made disaster.

As disasters increase due to climate change, population density, epidemics, and technology, information is needed about postdisaster consequences for people's mental health and how stress-related mental disorders affect multiple spheres of life, including labor-market attachment. We tested the causal hypothesis that individuals who developed stress-related mental disorders as a consequence of their disaster exposure experienced subsequent weak labor-market attachment and poor work-related outcomes. We leveraged a natural experiment in an instrumental variables model, studying a 2004 fireworks factory explosion disaster that precipitated the onset of stress-related disorders (posttraumatic stress disorder, anxiety, and depression) among individuals in the local community (N = 86,726). We measured labor-market outcomes using longitudinal population-level administrative data: sick leave, unemployment benefits, early retirement pension, and income from wages from 2007 to 2010. We found that individuals who developed a stress-related disorder after the disaster were likely to go on sickness benefit, both in the short- and long-term, were likely to use unemployment benefits and to lose wage income in the long term. Stress-related disorders did not increase the likelihood of early retirement. The natural experiment design minimized the possibility that omitted confounders biased these effects of mental health on work outcomes. Addressing the mental health and employment needs of survivors after a traumatic experience may improve their labor-market outcomes and their nations' economic outputs.

The effects of an interdisciplinary employment program on paid employment and mental health among persons with severe mental disorders.

PURPOSE: This study evaluates the effects of the interdisciplinary employment program 'Work As Best Care (WABC)' on employment participation and mental health of persons with severe mental disorders. METHODS: WABC is a 'work first' employment program for unemployed persons with severe mental disorders in which employment professionals work closely together with mental health professionals. In a longitudinal non-randomized controlled study, participants of WABC (n = 35) are compared with participants of the control group (n = 37), who received regular employment support. Participants were followed for 1 year and filled out questionnaires on individual characteristics and health at baseline, after 6 and 12 months. This information was enriched with monthly register data on employment status from 2015 until 2020. Difference-in-differences analyses were performed to investigate changes in employment participation among participants of WABC and the control group. A generalized linear mixed-effects model was used to compare changes in mental health (measured on 0-100 scale) between the two groups. RESULTS: Before WABC, employment participation was 22.0%points lower among participants of WABC compared to the control group. After starting WABC, employment participation increased with 15.3%points per year among participants of WABC, compared to 5.6%points in the control group. Among all participants of WABC, no change in mental health was found (ß 1.0, 95% CI - 3.4; 5.5). Only female participants of WABC showed a significant change in mental health (ß 8.0, 95% CI 2.6; 13.4). CONCLUSION: To enhance employment participation of persons with severe mental disorders, an interdisciplinary 'work-first' approach in which professionals of employment services and mental health services work in close collaboration, is of paramount importance.

Risk of not being in employment, education or training (NEET) in late adolescence is signalled by school readiness measures at 4-5 years.

BACKGROUND: Not being in employment, education, or training (NEET) is associated with poor health (physical and mental) and social exclusion. We investigated whether England's statutory school readiness measure conducted at 4-5 years provides a risk signal for NEET in late adolescence. METHODS: We identified 8,118 individuals with school readiness measures at 4-5 years and NEET records at 16-17 years using Connected Bradford, a bank of linked routinely collected datasets. Children were categorised as 'school ready' if they reached a 'Good Level of Development' on the Early Years Foundation Stage Profile. We used probit regression and structural equation modelling to investigate the relationship between school readiness and NEET status and whether it primarily relates to academic attainment. RESULTS: School readiness was significantly associated with NEET status. A larger proportion of young people who were not school ready were later NEET (11%) compared to those who were school ready (4%). Most of this effect was attributable to shared relationships with academic attainment, but there was also a direct effect. Measures of deprivation and Special Educational Needs were also strong predictors of NEET status. CONCLUSIONS: NEET risk factors occur early in life. School readiness measures could be used as early indicators of risk, with interventions targeted to prevent the long-term physical and mental health problems associated with NEET, especially in disadvantaged areas. Primary schools are therefore well placed to be public health partners in early intervention strategies.

How do labour market conditions explain the development of mental health over the life-course? a conceptual integration of the ecological model with life-course epidemiology in an integrative review of results from the Northern Swedish Cohort.

BACKGROUND: The aim of this study was to contribute to the theoretical development within the field of labour market effects on mental health during life by integrating Bronfenbrenner's ecological model with mainly earlier theoretical work on life-course theory. METHODS: An integrative review was performed of all 52 publications about labour market conditions in relation to mental health from the longitudinal Northern Swedish Cohort study. Inductive and deductive qualitative content analysis were performed in relation to Bronfenbrenner's ecological framework combined with life-course theories. RESULTS: The following nine themes were identified: 1. Macroeconomic recession impairs mental health among young people. 2. The mental health effects on individuals of youth unemployment seem rather insensitive to recession. 3. Small but consistent negative effect of neighbourhood unemployment and other work-related disadvantaged on individuals' mental health over life. 4. Youth unemployment becomes embodied as scars of mental ill-health over life. 5. Weak labour market attachment impairs mental health over life. 6. Bidirectional relations between health and weak labour market attachment over life. 7. Macrolevel structures are of importance for how labour market position cause poor health. 8. Unequal gender relations at work impacts negatively on mental health. 9. The agency to improve health over life in dyadic relations. Unemployment in society permeates from the macrolevel into the exolevel, defined by Bronfenbrenner as for example the labour market of parents or partners or the neighbourhood into the settings closest to the individual (the micro- and mesolevel) and affects the relations between the work, family, and leisure spheres of the individual. Neighbourhood unemployment leads to poor health among those who live there, independent of their employment status. Individuals' exposure to unemployment and temporary employment leads to poorer mental health over the life-course. Temporal dimensions were identified and combined with Bronfenbrenner levels into a contextual life-course model CONCLUSION: Combining the ecosocial theory with life-course theories provides a framework for understanding the embodiment of work-related mental health over life. The labour market conditions surrounding the individual are of crucial importance for the embodiment of mental health over life, at the same time as individual agency can be health promoting. Mental health can be improved by societal efforts in regulations of the labour market.

Risk of unemployment and work disability among refugee and non-refugee migrants with incident psychotic disorders in Sweden and Denmark.

BACKGROUND: Unemployment and work disability are common among individuals with non-affective psychotic disorders (NAPDs) but it is unknown whether rates differ among migrants and native-born individuals. The present study aimed to compare the risk of these outcomes during the first 5 years of illness in non-refugee migrants, refugees and native-born individuals with NAPDs in Sweden and Denmark-two countries with different immigration policies and models of early psychosis care. METHODS: Using national registers, we identified all individuals aged 18-35 years in Sweden and Denmark who received an incident NAPD diagnosis between 2006 and 2013 (N = 6750 and 8320, respectively). Cohorts were followed for 5 years to determine the days of unemployment and sickness absence (analyzed using zero-inflated negative binomial models) and the time to receipt of disability pension (analyzed using complementary log-log models). RESULTS: Relative to their native-born peers, refugees and non-refugee migrants in Sweden and non-refugee migrants in Denmark were significantly less likely to have zero unemployment days (OR range: 0.54-0.72) and all migrant groups experienced more unemployment days (IRR range: 1.26-1.37). Results were largely unchanged after adjustment for sociodemographic and clinical factors. In the adjusted model, both Swedish migrant groups and refugees in Denmark were more likely to experience zero sickness absence days than native-born individuals (OR range: 1.48-1.56). Only refugees in Denmark were at greater risk of disability pension. CONCLUSIONS: Non-refugee migrants and refugees with NAPDs in both Sweden and Denmark are particularly vulnerable to experiencing unemployment. Targeted interventions may help to reduce these disparities and promote long-term work ability among migrant groups.

Does employment status mediate the association between disability status and mental health among young adults? Evidence from the Household, Income and Labour Dynamics in Australia (HILDA) survey.

OBJECTIVE: Young adults with disabilities are less likely to be employed and more likely to have poor mental health than peers without disabilities. Growing evidence shows that social determinants of health may be causally related to mental health outcomes of people with disabilities. We aimed to assess if the disability to mental health association was mediated by employment status among young adults aged 20-35 years. METHODS: Four consecutive years (2016-2019) of data from the Household, Income and Labour Dynamics in Australia survey were used to conduct a causal mediation analysis. We decomposed the total causal effect of disability status on mental health (Short Form-36 Mental Health Inventory-5) into the natural direct effect from disability to mental health and the natural indirect effect representing the pathway through the employment mediator (being employed; being unemployed or wanting to work). RESULTS: 3435 participants (3058 with no disabilities, 377 with disabilities) were included in the analysis. The total causal effect of disability status on mental health was an estimated mean decrease in mental health of 4.84 points (95% CI -7.44 to -2.23). The indirect effect, through employment status, was estimated to be a 0.91-point decline in mental health (95% CI -1.50 to -0.31). CONCLUSIONS: Results suggest disability has an effect on the mental health of young adults; a proportion of this effect appears to operate through employment. The mental health of young adults with disabilities could potentially be improved with interventions to improve employment outcomes among this group, and by supporting individuals with disabilities into suitable employment.

Employment trajectories and mental health-related disability in Belgium.

OBJECTIVES: An individual's quality of employment over time has been highlighted as a potential determinant of mental health. With mental ill-health greatly contributing to work incapacities and disabilities in Belgium, the present study aims to explore whether mental health, as indicated by registered mental health-related disability, is structured along the lines of employment quality, whereby employment quality is assessed over time as part of individuals' labour market trajectories. METHODS: Using administrative data from the Belgian Crossroads Bank for Social Security over 16 quarters between 2006 and 2009, transitions between waged jobs of varying quality (based on dimensions of income, working time, employment stability and multiple jobholding), self-employment, and unemployment are considered among individuals in the labour force aged 30-40 at baseline (n = 41,065 women and 45,667 men). With Multichannel Sequence Analysis and clustering, we constructed ideal types of employment trajectories. Fitting Cox regressions, we then evaluated individuals' hazard of experiencing a disability from a mental disorder between 2010 and 2016. RESULTS: Our analysis highlights various gender-specific trajectories. Among both genders, individuals exposed to near-constant unemployment over the initial 4 years showed the highest hazard of subsequent mental health-related disability compared to a group characterised by stable full-time employment, single jobholding, and above-median income. Trajectories involving a higher probability of subsidised and non-standard employment and (potential) spells of unemployment and lower relative income were also strong predictors of cause-specific disabilities. Health selection and confounding might, however, be contributing factors. CONCLUSIONS: Our study shows a gradient of mental disorders resulting in a disability along trajectory types. Our findings highlight the predictive power of labour market trajectories and their employment quality for subsequent mental disorder-related disability. Future research should examine the mechanisms, including selection effects in this association.

Macroeconomic fluctuations and individual use of psychotropic medications: evidence from Swedish administrative data.

BACKGROUND: A growing literature finds that adult mental health worsens during economic downturns. Current insights on the relationship between macroeconomic fluctuations and psychotropic medication are based on self-reported information or aggregate measures on prescriptions. This study assesses the relationship between local macroeconomic conditions and individual use of psychotropic medication as reported in administrative registers. METHODS: We use local information on unemployment linked to individual-level longitudinal data on detailed psychotropic drug consumption from administrative registers, for individuals in working age (20-65) in Sweden 2006-13. Any psychotropic medication uptake and the related number of redeemed prescriptions are the primary outcomes. Mortality is considered a secondary outcome. RESULTS: Among young men (aged 20-44) and older women (aged 45-65), we find reduced use of psychotropic medication (2-4% compared to the mean) when the local labor market conditions deteriorate. The relationship is driven by reduced use of antidepressants. The same age-gender groups experience a significantly higher risk of mortality in bad times. CONCLUSIONS: This study shows that economic downturns may not only put strain on individuals' mental health but also on their access to psychopharmaceutic treatments.

The shattered "Iron Rice Bowl": effects of Chinese state-owned enterprise reform on depressive symptoms in later life.

OBJECTIVES: The SOE reform was the first time that economic insecurity was introduced since 1949 in China, with hundreds of million employees affected by the laid off. This study took the State-Owned Enterprises (SOE) reform in China as a natural experiment to explore the impact of economic insecurity on depressive symptoms in later life. METHODS: Data were obtained from the China Health and Retirement Longitudinal Survey (CHARLS), 2014 and 2015. CHARLS is a nationally representative survey covering 28 provinces in China. CHARLS used the probabilities proportional to size (PPS) sampling method and involved 450 villages/resident committees, 150 counties/districts and 12,400 households. A total of 5113 urban dwellers born earlier than 1971 (aged 25 years old and above at the start of the SOE reform, 1995) were involved. Using the province-level  economic loss from the layoffs, we examined the impact of economic insecurity exposure on the score of depressive symptoms using a difference-in-differences model (DID). RESULTS: Individuals with economic insecurity exposure had a significantly increased risk of higher depressive symptoms scores, in which a 1 percentage point increase in expected economic loss would increase the CESD-10 score by 0.10. For an individual at the median distribution (CESD-10 = 5), this implies a shift to the 58th percentile (CESD-10 = 6). Given that the average intensity of expected economic loss is 10.22% and the mean CESD-10 is 6.92, exposure to the SOE reform led to an average increase in the CESD-10 score by 1.02 and by at least 14.74%. The heterogeneity analyses showed that the role of SOE reform in depressive symptoms scores was robust in both female and male groups and groups with different educational attainment. CONCLUSIONS: Economic insecurity exposure increased the depressive symptoms score later in life in the context of China. Programs, such as adequate unemployment insurance benefits, can protect individuals against the risk of financial loss, thereby reducing their negative impact on depressive symptoms. Providing mental symptoms surveillance and psychological counseling to those experienced at a time of great uncertainty is important for preventing depression in times of economic insecurity.

Psychological Effects Of Unemployment Across The Lifespan: A Synthesis Of Relevant Literature.

Amid ongoing global economic uncertainty and long-standing efforts to tackle age discrimination and increase older workers' labor force engagement, it is pertinent to consider age differences in the individual effects of joblessness. This is paramount for informing support services, policy formulation, and research. This article is based on a literature review of international peer reviewed quantitative research that has examined the relationship between age, psychological wellbeing and unemployment. Two hundred and twenty-six studies were screened and 36 were included. No relevant qualitative studies were identified. Among the studies, there was a broad consensus that there are age differences in terms of the psychological consequences of unemployment. However, they showed mixed evidence, and critical conceptual and methodological deficiencies were identified. We conclude that the body of evidence is weak and that drawing from it for the development of practice and policy in support of jobless individuals is to be cautioned against.

Current Unemployment, Unemployment History, and Mental Health: A Fixed-Effects Model Approach.

Poor mental health among the unemployed-the long-term unemployed in particular-is established, but these associations may be driven by confounding from unobserved, time-invariant characteristics such as past experiences and personality. Using longitudinal register data on 2,720,431 residents aged 30-60 years, we assessed how current unemployment and unemployment history predict visits to specialized care due to psychiatric conditions and self-harm in Finland in 2008-2018. We used linear ordinary-least-squares and fixed-effects models. Prior to adjusting for time-invariant characteristics, current unemployment was associated with poor mental health, and the risk increased with longer unemployment histories. Accounting for all time-invariant characteristics with the fixed-effects models, these associations attenuated by approximately 70%, yet current unemployment was still associated with a 0.51 (95% confidence interval: 0.48, 0.53) percentage-point increase in the probability of poor mental health among men and women. Longer unemployment histories increased the probability among men in their 30s but not among older men or among women. The results indicate that selection by stable characteristics may explain a major part of the worse mental health among the unemployed and especially the long-term unemployed. However, even when controlling for this selection, current unemployment remains associated with mental health.

Is unemployment associated with inefficient sleep habits? A cohort study using objective sleep measurements.

Unemployed people could be at risk of developing inefficient sleep habits by spending excessive time in bed, as they lack a structuring activity. This could impact their mental health and reintegration into labour. This study aims to analyse possible associations between employment status and sleep parameters using actigraphy. Subjects (148 employed and 50 unemployed) were drawn from a German population-based cohort. Sleep parameters were measured with the SenseWear Bodymedia Pro 3 armband. Comparison of means concerning sleep duration, sleep efficiency, time of sleep and sleep fragmentation was performed separately for week days and weekends. Multiple linear regression analysis was performed to analyse group differences controlling for covariates. Finally, we defined cut-off scores for each sleep variable, and analysed the distribution of subjects above and below these values. Unemployed people did not sleep significantly longer than employed people. However, on week days, they displayed night sleep efficiency reduced by on average > 5% points, they lay down for 28 min longer, had later mid sleep time (38 min) and sleep offset (55 min), as well as more frequent awakenings after sleep onset accounting for being awake 28 min longer (all p ≤ 0.005). Sleep in unemployed subjects compared with employed subjects aged 41-64 years was less efficient, more fragmented and shifted to a later point of the night. Results support prior findings that unemployment has a negative influence on sleep quality. Unemployed individuals could benefit from intervention programmes aiming at the adoption of healthier sleep habits.

Whose mental health declines during economic downturns?

Prior research shows that economic downturns are associated with increases in mental illness. However, we know little about whose mental health is most negatively affected. Is it the young or old, men or women, employed or non-employed, rich or poor? Using an 18-year panel dataset of Australians, we contribute to this understanding by estimating the impact of changes in unemployment on mental health, separately by population subgroups. Our mental health measure captures psychological distress and emotional difficulties, which are often missed by infrequent event indicators such as suicides. We find that young women suffer most during economic downturns. Men and women of older ages are not significantly affected. The effects for young women are driven by those in insecure employment, and those from low socioeconomic backgrounds. Our results suggest that public health programs should emphasize the mental health of young women during economic downturns.

Health-related selection into employment among the unemployed.

BACKGROUND: Successful transitions from unemployment to employment are an important concern, yet little is known about health-related selection into employment. We assessed the association of various physical and psychiatric conditions with finding employment, and employment stability. METHODS: Using total population register data, we followed Finnish residents aged 30-60 with an unemployment spell during 2009-2018 (n = 814,085) for two years from the onset of unemployment. We predicted any, stable, and unstable employment by health status using Cox proportional hazards models. The data on specialized health care and prescription reimbursement were used to identify any alcohol-related conditions and poisonings, psychiatric conditions and self-harm, injuries, and physical conditions. We further separated physical conditions into cancer, diabetes, heart disease, and neurological conditions, and psychiatric conditions into depression, anxiety disorders and substance use disorders. RESULTS: The likelihood of any employment was lower among those who had any of the assessed health conditions. It was lowest among those with alcohol-related or psychiatric conditions with an age-adjusted hazard ratio of 0.45 (95% confidence interval 0.44, 0.46) among men and 0.39 (0.38, 0.41) among women for alcohol-related and 0.64 (0.63, 0.65) and 0.66 (0.65, 0.67) for psychiatric conditions, respectively. These results were not driven by differences in socioeconomic characteristics or comorbidities. All the included conditions were detrimental to both stable and unstable employment, however alcohol-related and psychiatric conditions were more harmful for stable than for unstable employment. CONCLUSIONS: The prospects of the unemployed finding employment are reduced by poor health, particularly alcohol-related and psychiatric conditions. These two conditions may also lead to unstable career trajectories. The selection process contributes to the health differentials between employed and unemployed people. Unemployed people with health problems may therefore need additional support to improve their chances of employment.

Children mirror adults for the worse: evidence of suicide rates due to air pollution and unemployment.

BACKGROUND: Every year, more than 700,000 people die due to suicide, one of the most common reasons for youth death. While many studies have revealed two main factors for suicidal behavior: impulsive suicidal behavior due to mental illness and financial stress, it is not clear what happens if individuals face deterioration of mental health and economic recession. This paper attempts to answer this question and how suicide rates are correlated with these factors. METHODS: We empirically investigate whether economic recessions and air pollution trigger suicides by examining Japan, a country with one of the highest suicide rates, from 2014 to 2021. We take advantage of the characteristics of the COVID-19 pandemic and the periods before the pandemic, when both economic recessions and reductions in air pollution occurred simultaneously. Using monthly and municipal- level data, we construct a triple difference model that takes air pollution and unemployment as treatments. RESULTS: Our findings show that high (upper half of each period) levels of air pollution and unemployment have substantial impacts on the suicide rates of adults (22.9% in the short term) and children (42.7% in the short term, 36.0% in the long term), indicating that the increase in suicide rates among children is almost twice as high as that among adults. Our study finds that unemployment and air pollution alone are not associated with increased suicide rates but their simultaneous occurrence triggers suicides during the pandemic. CONCLUSIONS: Our study urges suicide prevention, particularly among children, as an essential consideration for public health. Furthermore, our results indicate the need for the government to allocate resources to recover air quality and the economy simultaneously during a recession to reduce suicide mortality of both child and adults.

The Effect of Being Unemployed on Mental Health: The Spanish Case.

BACKGROUND: The lack of work appeared to be linked to several symptoms related to poor mental health. Likewise, the reverse relationship, namely the influence of poor mental health on the risk of job loss, has also been analysed, i.e. distress could lead to a poorer work performance culminating in potential job loss. Thus, the bidirectional nature of the relationship between unemployment and mental health makes the accurate estimation of causal relationships a complex matter, leaving room for additional research on the subject. AIMS OF THE STUDY: The aim of this research is to analyse the influence that unemployment could have on mental health taking into account the bidirectional nature that exists between both concepts. METHODS: In order to tackle the causal effect of being unemployed on mental health, we present a biprobit model taking into account the presence of dummy endogenous regressors and we compare these results with those obtained from a standard univariate probit. Our identification strategy exploits geographical information on the unemployment rates as instrument. We use Spanish cross-sectional data from the 2006, 2011 and 2017 years. RESULTS: Based on the results, the paper concludes that unemployed persons in Spain could be subject to a 5.4% higher probability of suffering symptoms related to a common mental disorder (versus 11% obtained using a standard probit). DISCUSSION: The results obtained confirm a negative impact of unemployment situation on mental health. In other words, the probability of unemployed people suffering a mental disorder seems superior to that for individuals with a job. Moreover, the marginal effect obtained from a univariate probit model without the possibility of controlling the mental health selection effects, proves the existence of a problem of simultaneity that would have overestimated the effect of being unemployed on mental health. IMPLICATIONS FOR HEALTH CARE PROVISION: It is hoped that the conclusions obtained here prove useful in the implementation of specific mental health care provision aimed at unemployed people. In this context, the evidence obtained should result in the incorporation of health assistance as an essential part in response to the needs of this collective. IMPLICATIONS FOR HEALTH POLICIES: These special needs of unemployed people should be contemplated not only from a health care provision but also as part of a broader system that incorporates the mental health care of unemployed persons as part of more general public health policies. Finally, these results suggest that mental health-related objectives should be considered when planning, implementing, and evaluating active labour market policies for the unemployed. IMPLICATIONS FOR FURTHER RESEARCH: The length and severity of the last recession, together with the risks associated with the global crisis resulting from COVID-19, reiterate the obvious concerns about the consequences of economic crises and unemployment on personal mental health. In this context, our study could be a step forward in the study of the causal relationships between unemployment and mental health when new data are available.

Lost in transition: a systematic review of the association between unemployment and mental health.

BACKGROUND: Unemployment can involve financial strain and major psychosocial challenges. Integration of the existing evidence is needed to better characterize the association between unemployment and mental health, independently of macroeconomic contexts. AIMS: Main objectives of this study: (a) review, integrate, and summarize evidence about the association between unemployment and anxiety disorders, mood disorders, and suicidal behaviour, and (b) identify variables affecting this association. METHOD: Systematic review of literature following PRISMA guidelines. PubMed, Web of Science, SciELO, RCAAP, and Cochrane Library databases were searched. Quantitative empirical studies on the association between unemployment and mental illness of community-based samples were included. The quality of the evidence provided in the studies was assessed following pre-defined methodological criteria. RESULTS: Overall, 294 articles were considered eligible. In total, 55.7% of the studies were conducted in Europe; 91.4% supported a positive association between increased unemployment rates and anxiety, mood disorders, or suicidal behavior. Men and young adults were most severely affected by unemployment. Education and social support were found to buffer the negative outcomes of job loss. CONCLUSIONS: Unemployment was inversely associated with mental health irrespectively of the economic context; unemployed individuals were more vulnerable to commit suicide and suffer from anxiety and mood disorders.

Impact of employment and insurance status on distress in gynecologic oncology patients.

OBJECTIVES: To study associations among employment, insurance status, and distress in gynecologic oncology patients; and to evaluate the impact of being unemployed or having no/Medicaid insurance on different distress problem areas. METHODS: In this single institution, cross-sectional analysis of gynecologic oncology patients, we screened for distress and problem areas using the National Comprehensive Cancer Network distress thermometer and problem list at outpatient appointments between 6/2017-9/2017. Primary outcome was self-reported high distress (score ≥ 5). The distress problem list included 5 categories-practical, family, emotional, physical, and other. Employment status included employed, unemployed, homemaker, and retired. Logistic regression was used to predict high distress from employment and insurance statuses, adjusting for relevant covariates. RESULTS: Of 885 women, 101 (11.4%) were unemployed, and 53 (6.0%) uninsured or had Medicaid coverage. One in five patients (n = 191, 21.6%) indicated high distress. Unemployed patients were more likely than employed to endorse high distress [adjusted odds ratio (aOR) = 3.5, 95% confidence interval (CI) 2.2-5.7, p < 0.001]. Compared to employed patients, a greater proportion of unemployed patients endorsed distress related to practical (p < 0.05), emotional (p < 0.001), physical (p < 0.01), and other (p < 0.05) problems. Uninsured/Medicaid patients were more likely to endorse high distress (aOR = 2.8, 95% CI 1.5-5.1, p < 0.001) and report family (p < 0.001), emotional (p < 0.001), and other (p < 0.01) problems than patients who had Medicare/commercial insurance. CONCLUSIONS: Gynecologic oncology patients who are unemployed or have no/Medicaid insurance face high distress that appears to arise from issues beyond practical problems, including financial and/or insurance insecurities.