Long-term benzodiazepine use and risk of labor market marginalization in Finland: A cohort study with 5-year follow-up.

BACKGROUND: Benzodiazepines and related drugs (BZDRs) are widely used in the treatment of anxiety and sleep disorders, but cognitive adverse effects have been reported in long-term use, and these may increase the risk of labor market marginalization (LMM). The aim of this study was to investigate whether the risk of LMM is associated with new long-term BZDR use compared to short-term use. METHODS: This register-based nationwide cohort study from Finland included 37,703 incident BZDR users aged 18-60 years who initiated BZDR use in 2006. During the first year of use, BZDR users were categorized as long-term users (≥180 days) versus short-term users based on PRE2DUP method. The main outcome was LMM, defined as receipt of disability pension, long-term sickness absence (>90 days), or long-term unemployment (>180 days). The risk of outcomes was analyzed with Cox regression models, adjusted with sociodemographic background, somatic and psychiatric morbidity, other types of medication and previous sickness absence. RESULTS: During 5 years of follow-up, long-term use (34.4%, N = 12,962) was associated with 27% (adjusted Hazard Ratio, aHR 1.27, 95% CI 1.23-1.31) increased risk of LMM compared with short-term use. Long-term use was associated with 42% (aHR 1.42, 95% CI 1.34-1.50) increased risk of disability pension and 26% increased risk of both long-term unemployment and long-term sickness absence. CONCLUSIONS: These results indicate that long-term use of BZDRs is associated with increased risk of dropping out from labor market. This may be partly explained by cognitive adverse effects of prolonged BZDR use, which should be taken into account when prescribing BZDRs.

Emotional Intelligence, Mental Health, and Job Search Behaviors during Unemployment: The Mediating Role of Resilient Coping / La inteligencia emocional, la salud mental y la búsqueda de empleo en desempleados: el papel mediador del afrontamiento resiliente

The scientific literature has shown interest in identifying psychological strengths that predict mental health and job search behaviors in the unemployed population. Emotional intelligence (EI) and resilience are key psychological resources, although there is a lack of understanding of underlying mechanisms involved during unemployment. In this study we aimed to examine whether resilient coping serves as a mediator between EI and depressive symptoms, happiness, and job search behaviors in unemployed. To prove whether resilient coping mediates this link, we recruited 401 unemployed through LinkedIn and asked them to complete self-report questionnaires. Correlational results showed significant relationships in the expected way. The results of the mediation analyses showed that resilient coping mediated the link between EI and job search behaviors, happiness, and depressive symptoms. The findings suggest that career counseling units should incorporate EI and resilience modules into their employability programs to promote the mental health and employability of the unemployed.(AU)

La literatura científica ha mostrado interés por identificar los recursos psicológicos que predicen la salud mental y los comportamientos de búsqueda de empleo en la población desempleada. La inteligencia emocional (IE) y la resiliencia son recursos psicológicos fundamentales, aunque existe una falta de comprensión de los mecanismos subyacentes en el desempleo. El objetivo del estudio ha sido examinar si el afrontamiento resiliente sirve como mediador entre la IE y los síntomas depresivos, la felicidad y la búsqueda de empleo en desempleados. Para probar si el afrontamiento resiliente media en este vínculo, reclutamos a 401 desempleados a través de LinkedIn y les pedimos que cumplimentaran cuestionarios de autoinforme. Las correlaciones indican relaciones significativas en la dirección esperada. Los resultados de los análisis de mediación mostraron que el afrontamiento resiliente mediaba el vínculo entre la IE y las conductas de búsqueda de empleo, la felicidad y los síntomas depresivos. Los resultados indican que las unidades de orientación profesional deberían incorporar módulos de IE y resiliencia en sus programas de empleabilidad para potenciar la salud mental y la empleabilidad de los desempleados.(AU)

Fear of Job Loss and Hypertension Prevalence Among Working Latino Adults.

Evidence indicates that stress increases cardiovascular disease risk. Latinos are disproportionately employed in precarious work conditions that can trigger hypertension risk. We examined if fear of job loss, a work stressor, was associated with hypertension among U.S. Latinos. We utilized 2015 National Health Interview Survey data from working Latino adults (n = 2683). In multivariate logistic regression models, we examined if fear of job loss was associated with hypertension, adjusting for age, sex, education, household income, and health insurance, and whether nativity status modified this relationship. Fear of job loss was significantly associated with increased probability of reporting hypertension among Latino workers in fully adjusted models (PR 1.55, 95% CI 1.18-2.03), compared with no fear of job loss. This relationship varied by nativity. These findings suggest that work-related conditions may contribute to cardiovascular disease risk among Latinos and public health initiatives should promote behavioral interventions in work settings.

Changes in Unemployment Among Health Care Workers Following the COVID-19 Pandemic.

This study examines changes in unemployment among US health care workers from January 2015 to April 2022, before and after the onset of the COVID-19 pandemic.

Labour market marginalisation in young refugees and their majority peers in Denmark and Sweden: The role of common mental disorders and secondary school completion.

BACKGROUND: Due to the circumstances of their early lives, young refugees are at risk of experiencing adverse labour market and health outcomes. The post-settlement environment is thought to play a decisive role in determining how this vulnerability plays out. This study compared trends in labour market marginalisation in young refugees and their majority peers during early adulthood in two national contexts, Denmark and Sweden, and explored the mediating role of common mental disorders and secondary school completions. METHODS: Using registry data, 13,390/45,687 refugees were included in Denmark/Sweden and 1:5 matched to majority peers. Inequalities in labour market marginalisation were investigated during 2012-2015 in each country using linear probability models and mediation analysis. Country trends were standardised to account for differences in observed population characteristics. RESULTS: The risk of marginalisation was 2.1-2.3 times higher among young refugees compared with their majority peers, but the risk decreased with age in Sweden and increased in Denmark for refugees. Birth-cohort differences drove the increase in Denmark, while trends were consistent across birth-cohorts in Sweden. Differences in population characteristics did not contribute to country differences. Common mental disorders did not mediate the inequality in either country, but secondary school completions did (77-85% of associations eliminated). CONCLUSIONS: The findings document both the vulnerability of young refugees to labour market marginalisation and the variability in this vulnerability across post-settlement contexts. While the contrast in policy climates in Denmark and Sweden sharpened over time, the risk of marginalisation appeared more similar in younger cohorts, pointing to the importance of factors other than national immigration and integration policies. Institutional efforts to assist young refugees through secondary education are likely to have long-lasting consequences for their socio-economic trajectories.

A contextual exploration of healthcare service use in urban slums in Nigeria.

INTRODUCTION: Many urban residents in low- and middle-income countries live in unfavorable conditions with few healthcare facilities, calling to question the long-held view of urban advantage in health, healthcare access and utilization. We explore the patterns of healthcare utilization in these deprived neighborhoods by studying three such settlements in Nigeria. METHODS: The study was conducted in three slums in Southwestern Nigeria, categorized as migrant, indigenous or cosmopolitan, based on their characteristics. Using observational data of those who needed healthcare and used in-patient or out-patient services in the 12 months preceding the survey, frequencies, percentages and odds-ratios were used to show the study participants' environmental and population characteristics, relative to their patterns of healthcare use. RESULTS: A total of 1,634 residents from the three slums participated, distributed as 763 (migrant), 459 (indigenous) and 412 (cosmopolitan). Residents from the migrant (OR = 0.70, 95%CI: 0.51 to 0.97) and indigenous (OR = 0.65, 95%CI: 0.45 to 0.93) slums were less likely to have used formal healthcare facilities than those from the cosmopolitan slum. Slum residents were more likely to use formal healthcare facilities for maternal and perinatal conditions, and generalized pains, than for communicable (OR = 0.50, 95%CI: 0.34 to 0.72) and non-communicable diseases (OR = 0.61, 95%CI: 0.41 to 0.91). The unemployed had higher odds (OR = 1.45, 95%CI: 1.08 to 1.93) of using formal healthcare facilities than those currently employed. CONCLUSION: The cosmopolitan slum, situated in a major financial center and national economic hub, had a higher proportion of formal healthcare facility usage than the migrant and indigenous slums where about half of families were classified as poor. The urban advantage premise and Anderson behavioral model remain a practical explanatory framework, although they may not explain healthcare use in all possible slum types in Africa. A context-within-context approach is important for addressing healthcare utilization challenges in slums in sub-Saharan Africa.

Adherence to Urgent Eye Visits during the COVID-19 Pandemic: A Population Characteristics Study.

PURPOSE: To explore individual and community factors associated with adherence to physician recommended urgent eye visits via a tele-triage system during the COVID-19 pandemic. METHOD: We retrospectively reviewed acute visit requests and medical exam data between April 6, 2020 and June 6, 2020. Patient demographics and adherence to visit were examined. Census tract level community characteristics from the U.S. Census Bureau and zip code level COVID-19 related death data from the Cook County Medical Examiner's Office were appended to each geocoded patient address. Descriptive statistics, t-tests, and logistic regression analyses were performed to explore the effects of individual and community variables on adherence to visit. RESULTS: Of 229 patients recommended an urgent visit, 216 had matching criteria on chart review, and 192 (88.9%) adhered to their visit. No difference in adherence was found based on individual characteristics including: age (p = .24), gender (p = .94), race (p = .56), insurance (p = .28), nor new versus established patient status (p = .20). However, individuals who did not adhere were more likely to reside in neighborhoods with a greater proportion of Blacks (59.4% vs. 33.4%; p = .03), greater unemployment rates (17.5% vs. 10.7%; p < .01), and greater cumulative deaths from COVID-19 (56 vs. 31; p = .01). Unemployment rate continued to be statistically significant after controlling for race and cumulative deaths from COVID-19 (p = .04). CONCLUSION: We found that as community unemployment rate increases, adherence to urgent eye visits decreases, after controlling for relevant neighborhood characteristics. Unemployment rates were highest in predominantly Black neighborhoods early in the pandemic, which may have contributed to existing racial disparities in eye care.

Technology-induced job loss risk, disability and all-cause mortality in Norway.

BACKGROUND: Ongoing shifts in economic structure from automation and globalisation can affect employment and mortality, yet these relations are not well described. OBJECTIVE: We assess whether long-term employment and health outcomes relate systematically to structural change in the labour market, using the occupational Routine Task Intensity (RTI) score as indicator of exposure is to risks of outsourcing and technology-induced job loss. METHODS: Using a cohort design and administrative data with national population coverage, we categorise all Norwegian employees in 2003 by the RTI score of their occupation and examine how this score correlates with employment and health outcomes measured in 2018 and 2019. The study sample counts 416 003 men and 376 413 women aged 33-52 in 2003. RESULTS: The occupational RTI score at baseline is robustly associated with long-term employment, disability and mortality outcomes. Raw correlations are reduced after adjustment for potential confounders, but associations remain substantial in models controlling for individual covariates and in sibling comparisons. Working in an occupation with RTI score 1 SD above the mean in 2003 is associated with a raised probability of being deceased in 2019 of 0.24 percentage points (95% CI: 0.18 to 0.30) for men and 0.13 percentage points (95% CI: 0.02 to 0.24) for women, corresponding to raised mortality rates of 6.7% and 5.5%. CONCLUSIONS: Individuals in occupations characterised by high routine intensity are less likely to remain employed in the long term, and have higher rates of disability and mortality.

Emergency unemployment benefits and health care spending during Covid.

OBJECTIVE: To estimate the impact of the $600 per week Federal Pandemic Unemployment Compensation (FPUC) payments on health care services spending during the Covid pandemic and to investigate if this impact varied by state Medicaid expansion status. DATA SOURCES: This study leverages novel, publicly available data from Opportunity Insights capturing consumer credit and debit card spending on health care services for January 18-August 15, 2020 as well as information on unemployment insurance claims, Covid cases, and state policy changes. STUDY DESIGN: Using triple-differences estimation, we leverage two sources of variation-within-state change in the unemployment insurance claims rate and the introduction of FPUC payments-to estimate the moderating effect of FPUC on health care spending losses as unemployment rises. Results are stratified by state Medicaid expansion status. EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: For each percentage point increase in the unemployment insurance claims rate, health care spending declined by 1.0% (<0.05) in Medicaid expansion states and by 2.0% (<0.01) in nonexpansion states. However, FPUC partially mitigated this association, boosting spending by 0.8% (<0.001) and 1.3% (<0.05) in Medicaid expansion and nonexpansion states, respectively, for every percentage point increase in the unemployment insurance claims rate. CONCLUSIONS: We find that FPUC bolstered health care spending during the Covid pandemic, but that both the negative consequences of unemployment and moderating effects of federal income supports were greatest in states that did not adopt Medicaid expansion. These results indicate that emergency federal spending helped to sustain health care spending during a period of rising unemployment. Yet, the effectiveness of this program also suggests possible unmet demand for health care services, particularly in states that did not adopt Medicaid expansion.

People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors.

This study provides the first representative analysis of error estimations and willingness to accept errors in a Western country (Germany) with regards to algorithmic decision-making systems (ADM). We examine people's expectations about the accuracy of algorithms that predict credit default, recidivism of an offender, suitability of a job applicant, and health behavior. Also, we ask whether expectations about algorithm errors vary between these domains and how they differ from expectations about errors made by human experts. In a nationwide representative study (N = 3086) we find that most respondents underestimated the actual errors made by algorithms and are willing to accept even fewer errors than estimated. Error estimates and error acceptance did not differ consistently for predictions made by algorithms or human experts, but people's living conditions (e.g. unemployment, household income) affected domain-specific acceptance (job suitability, credit defaulting) of misses and false alarms. We conclude that people have unwarranted expectations about the performance of ADM systems and evaluate errors in terms of potential personal consequences. Given the general public's low willingness to accept errors, we further conclude that acceptance of ADM appears to be conditional to strict accuracy requirements.

Social determinants of health associated with severity and mortality in patients with COVID-19.

INTRODUCTION: Historically, pandemics have resulted in higher mortality rates in the most vulnerable populations. Social determinants of health (SDH) have been associated with people morbidity and mortality at different levels. OBJECTIVE: To determine the relationship between SDH and COVID-19 severity and mortality. METHODS: Retrospective study, where data from patients with COVID-19 were collected at a public hospital in Chile. Sociodemographic variables related to structural SDH were classified according to the following categories: gender, age (< 65 years, ≥ 65 years), secondary education (completed or not), work status (active, inactive) and income (< USD 320, ≥ USD 320). RESULTS: A total of 1,012 laboratory-confirmed COVID-19 cases were included. Average age was 64.2 ± 17.5 years. Mortality of the entire sample was 14.5 %. Age, level of education, unemployment and income had a strong association with mortality (p < 0.001). CONCLUSIONS: The findings reinforce the idea that SDH should be considered a public health priority, which is why political efforts should focus on reducing health inequalities for future generations.

INTRODUCCIÓN: Históricamente, las pandemias han tenido como resultado tasas de mortalidad más altas en las poblaciones más vulnerables. Los determinantes sociales de la salud (DSS) se han asociado a la morbimortalidad de las personas en diferentes niveles. OBJETIVO: Determinar la relación entre los DSS, la severidad de COVID-19 y la mortalidad por esta enfermedad. MÉTODOS: Estudio retrospectivo en el que se recolectaron datos de pacientes con COVID-19 en un hospital público de Chile. Las variables sociodemográficas relacionadas con los DSS estructurales se clasificaron según las siguientes categorías: sexo, edad (< 65 años, ≥ 65 años), educación secundaria (completada o no), condición de trabajo (activo, inactivo) e ingreso económico (< USD 320, ≥ USD 320). RESULTADOS: Fueron incluidos 1012 casos con COVID-19 confirmados por laboratorio. La edad promedio fue de 64.2 ± 17.5 años. La mortalidad de la muestra total fue de 14.5 %. La edad, nivel educativo, desempleo e ingresos tuvieron fuerte asociación con la mortalidad (p < 0.001). CONCLUSIONES: Los hallazgos refuerzan la idea de que los DSS deben considerarse una prioridad de salud pública, por lo que los esfuerzos políticos deben centrarse en reducir las desigualdades en salud para las generaciones futuras.

Unemployment, Bankruptcies, and Deaths From Multiple Causes in the COVID-19 Recession Compared With the 2000‒2018 Great Recession Impact.

Objectives. To determine whether unemployment and bankruptcy rates are related to increased excess deaths during the COVID-19 recession and to examine whether the current recession-based mortality rate not only is dependent on COVID-19 but also continues the pattern of recessions, especially the Great Recession, in relation to chronic disease mortality rates and mental health disturbances (e.g., including suicide) from 2000 to 2018. Methods. This study used pooled cross-sectional time series analysis to determine the impact of unemployment and bankruptcy rates on excess deaths from February to November 2020 for US states. The study used a second pooled cross-sectional time series analysis to determine whether the COVID-19‒ era recessional mortality continues the impact of prepandemic recessions (2000-2018) on multiple causes of mortality. Results. Ten percent unemployment was associated with approximately 48[thin space]149 excess deaths, while, jointly with bankruptcies, their combined effect produced 35 700 and 144 483 excess deaths, for unemployment and bankruptcies, respectively. These health-damaging COVID-19‒recessional findings suggest a reiteration of the significantly increased major cause‒specific mortality during 2000 to 2018, mitigated by the size of the health care workforce. Conclusions. Minimization of deaths attributable to the COVID-19 recession requires ample funding for the unemployed and underemployed, especially Black and Hispanic communities, along with significant investments in the health workforce. (Am J Public Health. 2021;111(11):1950-1959. https://doi.org/10.2105/AJPH.2021.306490).

Cross-Sector Monitoring and Evaluation Framework: Social, Economic, and Health Conditions Impacted During the COVID-19 Pandemic.

Public Health 3.0 approaches are critical for monitoring disparities in economic, social, and overall health impacts following the COVID-19 pandemic and its associated policy changes to slow community spread. Timely, cross-sector data as identified using this approach help decisionmakers identify changes, track racial disparities, and address unintended consequences during a pandemic. We applied a monitoring and evaluation framework that combined policy changes with timely, relevant cross-sector data and community review. Indicators covered unemployment, basic needs, family violence, education, childcare, access to health care, and mental, physical, and behavioral health. In response to increasing COVID-19 cases, nonpharmaceutical intervention strategies were implemented in March 2020 in King County, Washington. By December 2020, 554 000 unemployment claims were filed. Social service calls increased 100%, behavioral health crisis calls increased 25%, and domestic violence calls increased 25%, with disproportionate impact on communities of color. This framework can be replicated by local jurisdictions to inform and address racial inequities in ongoing COVID-19 mitigation and recovery. Cross-sector collaboration between public health and sectors addressing the social determinants of health are an essential first step to have an impact on long-standing racial inequities. (Am J Public Health. 2021;111(S3):S215-S223. https://doi.org/10.2105/AJPH.2021.306422).

Health related quality of life (HRQOL) of patients with End Stage Kidney Disease (ESKD) on hemodialysis in Addis Ababa, Ethiopia: a cross-sectional study.

BACKGROUND: End-Stage Kidney Disease, the most severe form of chronic kidney disease, is fatal if not treated by renal replacement therapy. Thus, patients with End-Stage Kidney Disease depend on hemodialysis as a lifesaving treatment for the remainder of their lives. However, the health-related quality of life (HRQOL) of patients on hemodialysis is much more underappreciated in resource limited countries. METHODS: A hospital based cross-sectional study was conducted in Addis Ababa, Ethiopia, from August 01 to October 31, 2019. All patients who were on hemodialysis in five randomly selected public and private hospitals (n = 125) were included in the study. Data were administered by trained nurses by using a standardized Kidney Disease Quality of Life questionnaire. Clinical data were extracted from the patients' medical charts. HRQOL was categorized as low, if the overall mean score was ≤ 50, or as high, if the overall mean score was > 50. Factors associated with lower HRQOL were identified by multi-variable binary logistic regression analysis and expressed by adjusted odds ratio (aOR) and its respective 95 % confidence interval. RESULTS: The mean age of the study participants (n = 125) was 50.33 years (± 15.07) and more than two-thirds (68.8 %) of the participants were males. The mean score of HRQOL was 49.08 ± 11.09, with 48.0 % (95 % CI: 42.2 - 54.5 %) of them had lower HRQOL. Unemployed patients (aOR = 2.40, 95 % CI: 1.10-5.90) and patients who had hemodialysis 2 times per week (aOR = 1.71, 95 % CI: 1.07-3.83) had lower HRQOL. Elderly patients had higher odds of having lower mean score on the burden of kidney disease (aOR = 2.07; 95 % CI 1.18-4.13) as compared to the younger patients. CONCLUSIONS: Nearly half of the patients with ESKD on hemodialysis had lower overall HRQOL which is associated with their unemployment status and frequency of hemodialysis per week. Elderly patients had lower mean score of burden of kidney disease. Therefore, quality of life of patients with chronic dialysis should be given special attention during the patients' care. Measures should be taken by the government to ensure accessibility and affordability of the hemodialysis services in the country.

L'associazione tra fumo di tabacco e crisi economiche in Italia.

OBJECTIVES: to analyse the association between smoking behaviour and economic crises in Italy between 1993 and 2015. DESIGN: ecological study, carried out on data of the Italian National Institute of Statistics, by means of fixed-effect panel regressions. SETTING AND PARTICIPANTS: the rate of smoking prevalence (disaggregated by gender and age) and the unemployment rate (disaggregated by gender and referring to individuals aged 15 or more) were collected for each of the twenty Italian regions. Also, percentage fluctuations of the national real gross domestic product (GDP) were collected to identify the years of severe economic crisis. MAIN OUTCOME MEASURES: number of people who smoke per 100 people with the same features. RESULTS: among men, increased regional unemployment rate was associated with increased smoking behaviour only in the group aged 25-34 years. Differently, severe economic crises were associated with increased smoking in almost all age groups, except for men aged 15-24 years. A 1-point decrease in GDP was associated with 0.75 more smokers aged 15 years or more. The highest coefficient was reported among men aged 35-44 years, where a 1-point decrease in GDP was associated with 1.16 more smokers (every 100 men). This age group is also featured by the second highest prevalence of tobacco smoking (36.8%). Among women, a 1-point increase in the regional unemployment rate was associated with 0.08 less smokers every 100 women. Similarly, periods of severe economic crisis at national level were associated with reduced smoking behaviour among women aged 15 years or more, specifically those aged 15-24 years. Differently, women aged 25-34 and 65 years or more showed an association similar to that reported among men. In these groups, a 1-point decrease in GDP was associated with 0.67 and 1.08 more smokers every 100 women. While among the latter the prevalence of tobacco smoking is the lowest, among the former it is the third highest prevalence (21.69%). Therefore, increased smoking behaviour due to economic crises seems to occur especially among women aged 25-35 years old, as happens among men. CONCLUSIONS: men in almost all age groups and women aged 25-34 and 65 years or more represent vulnerable groups in which smoking behaviour may increase in times of economic hardship. Therefore, specific policies should be implemented to prevent this occurrence, as well as the negative health outcomes of tobacco smoking.

The Relationship Between Unemployment and Health Insurance Coverage: Before and After the Affordable Care Act's Coverage Expansions.

OBJECTIVE: The objective of this study was to determine whether the Affordable Care Act's (ACA) major coverage expansions mitigated the impact of unemployment on health insurance coverage status. DATA SOURCE: A 2011-2019 versions of the American Community Survey developed by the University of Minnesota Integrated Public Use Microdata Series program. RESEARCH DESIGN: We use difference-in-difference-in-differences (ie, triple difference) regressions to compare changes in the short-run impacts of local unemployment rates before and after the ACA. PRINCIPAL FINDINGS: Before the ACA, rises in local unemployment were associated with uninsurance due to losses in private coverage (ie, both nongroup and employer sponsored).Following the ACA's full implementation, the link between employment and coverage was attenuated by access to publicly subsidized qualified health plans on the ACA's nongroup market, and enhanced access to Medicaid in states that expanded. Our findings suggest protections from unemployment-linked uninsured spells are largest in states that expanded Medicaid. CONCLUSIONS: Expanded access to coverage under the ACA could mitigate the adverse effects on insurance status and access to care historically linked to job loss. However, should the ACA be repealed, many households stand to lose their ability to turn to Medicaid or subsidized nongroup coverage as safety-net resources to offset the burdens of job loss.