Exploring the workplace factors and their influence on the employment outcomes for people with multiple sclerosis.

BACKGROUND: High unemployment rate of people with multiple sclerosis (PwMS) is associated with substantial economic costs. Whilst the impact of MS symptoms and other disease-related factors on employment outcomes of PwMS has been assessed, limited evidence exists on the impacts of workplace factors. OBJECTIVE: To investigate the most common individual and group workplace factors associated with unemployment or a perceived risk of unemployment in PwMS, and to identify patient subgroups that are more susceptible to changes in employment status due to such factors. METHODS: Data from the Australian MS Longitudinal Study (AMSLS) on employment status and workplace factors were used. Fifteen workplace factors were classified under four groups: organisational, commuting, moving around at work, and equipment usage factors. Participants answered 'Yes' to each factor if it related to their unemployment and/or perceived risk of becoming unemployed and a group factor was considered "Yes" if at least one individual factor within it was answered as "Yes". The proportions of "Yes" responses were calculated for both individual and group factors. Total number of individual factors was calculated and descriptive analyses and ordered logistic regression were used to summarize the total number of factors affecting each participant, and their association with participants' occupations, sex, disability severity and disease duration. RESULTS: Common workplace factors influencing employment were organisational (39.8 % perceived risk, 44.0 % lost employment), commuting (28.9 % perceived risk) and equipment usage difficulty (30.9 % lost employment). Common individual factors included inflexible working conditions, lack of suitable work, commuting difficulties, architectural barriers, and requirement to stand for long periods to use equipment. Professionals, blue-collar workers, and those with moderate/severe disability were more likely to report a higher number of workplace factors risking their employment. CONCLUSIONS: Workplace factors undermine PwMS employment, with variations among subgroups based on occupation and disability severity. Understanding these barriers is crucial for supporting PwMS in the workforce.

Cost of lost productivity in inflammatory arthritis and osteoarthritis in the year before and after diagnosis: An inception cohort study.

AIM: Existing studies on the cost of inflammatory arthritis (IA) and osteoarthritis (OA) are often cross-sectional and/or involve patients with various disease durations, thus not providing a comprehensive perspective on the cost of illness from the time of diagnosis. In this study, we therefore assessed the cost of lost productivity in an inception cohort of patients with IA and OA in the year before and after diagnosis. METHODS: Employment status, monthly income, days absent from work, and presenteeism were collected at diagnosis and 1 year later to estimate the annual costs of unemployment, absenteeism, and presenteeism using human capital approach. Non-parametric bootstrapping was performed to account for the uncertainty of the estimated costs. RESULTS: Compared to patients with OA (n = 64), patients with IA (n = 102, including 48 rheumatoid arthritis, 19 spondyloarthritis, 23 psoriatic arthritis, and 12 seronegative IA patients) were younger (mean age: 52.3 vs. 59.5 years) with a greater proportion receiving treatment (99.0% vs. 67.2%) and a greater decrease in presenteeism score (median: 15% vs 10%) 1 year after diagnosis. Annual costs of absenteeism and presenteeism were lower in patients with IA than those with OA both in the year before (USD566 vs. USD733 and USD8,472 vs. USD10,684, respectively) and after diagnosis (USD636 vs. USD1,035 and USD6,866 vs. USD9,362, respectively). CONCLUSION: Both IA and OA impose substantial cost of lost productivity in the year before and after diagnosis. The greater improvement in productivity seen in patients with IA suggests that treatment for IA improves work productivity.

Higher unemployment benefits are associated with reduced drug overdose mortality in the United States before and during the COVID-19 pandemic.

OBJECTIVES: Overdose mortality rates in the United States remain critical to population health. Economic , such as unemployment, are noted risk factors for drug overdoses. The COVID-19 pandemic exacerbated economic hardship; as a result, the US government enacted income protection programs in conjunction with existing unemployment insurance (UI) to dampen COVID-19-related economic consequences. We investigate whether UI, operationalized as the weekly benefit allowance (WBA) replacement rate, is negatively associated with drug-related overdoses. METHODS: Data from the pooled 2014-2020 Detailed Restricted Mortality files for all counties from the Centers for Disease Control and Prevention, restricted to people ≥18 years of age, aggregated at the county-quarter level (n = 89,914). We included any fatal drug, opioid, and stimulant overdose. We modeled the association between WBA replacement rate (e.g., a greater proportion of weekly earnings replaced by UI) on each county-level age-adjusted mortality outcome using separate linear regression models during 2014-2020, pre-COVID (2014-2018), and post-COVID (2019-2020). We conducted sensitivity analyses using multi-level linear regression models. RESULTS: Results indicated that a more robust WBA replacement rate any drug (Risk Difference [RD]: -0.06, 95 % Confidence Interval [CI]: -0.08, -0.05), opioid (RD: -0.04, 95 % CI: -0.06, -0.03), and stimulant (RD: -0.03, 95 % CI: -0.04, -0.02) across the entire study period (2014-2020). A more robust WBA replacement rate was associated with fewer fatal drug, opioid and stimulant overdoses in the pre-COVID-19 period and on fatal any drug and stimulant overdoses in the COVID-19 period. CONCLUSIONS: Findings support the notion that income protection policies, such as robust UI, can have a supportive role in preventing fatal drug overdoses, calling for a broader discussion onthe role of the safety net programs to buffer drug-related harms.

Beyond the mind: Understanding the influence of mental health on youth NEET status in Europe-A systematic literature review.

INTRODUCTION: In the fields of labor market and education research, there is a vast interest in mental health factors affecting unsuccessful school-to-work transitions, dropout from school and labor market disconnections for young people. Young people who are not in employment, education or training are conceived of as NEET. AIM: To get an overview we conducted a systematic review of the present literature on the influence of mental health on the likelihood of becoming NEET in Europe. METHOD: A Systematic literature search was conducted in four databases on February 21, 2023, with an update on January 15, 2024. RESULTS: 33,314 articles were screened whereas 41 studies involving 8,914,123 individuals were included. Poor mental health such as attention deficit hyperactive disorder, autism, depression, borderline, and psychosis during childhood and adolescence is strongly associated with becoming NEET. CONCLUSION: Mental health issues, whether mild or severe, heighten significant the risk of adverse education and employment outcomes in early adulthood, extending to young individuals with personality disorders, borderline personality disorder, and psychoses. These observations inform early intervention strategies for children and young people grappling with mental health challenges. Timely treatment is essential. Future research should focus on the gap in research like specific disorders such as eating disorders and anxiety.

Growing or declining penalties? A cross-temporal analysis of unemployment scars in the German labor market.

We know that unemployment leaves scars. Unemployment scars are the penalties in terms of employment outcomes that workers experience due to past unemployment. To date we lack a long-term longitudinal account which examines how unemployment scarring has developed over time. The aim of this article is to fill this gap. We draw on longitudinal data from the German Socio-Economic Panel spanning a period of more than 30 years, from 1985 to 2020, and investigate long-term time trends of unemployment scarring. The German labor market has experienced profound structural and institutional change over the past decades. These changes have been associated with increased inequalities in the labor market. We examine whether the substantial transformation of the German labor market also had repercussions for the extent of post-unemployment penalties. We focus on employment probabilities and wages, and consider both short-term (two years after the unemployment incidence) and mid-term outcomes (four years after the unemployment incidence). Changes in the amount of unemployment scarring over time can also occur due to changes in the composition of the unemployed. Our analyses therefore do not only investigate how macro-economic and institutional change are associated with varying amounts of unemployment scarring, but also control for and examine the role of compositional change.

An Exploratory Analysis of Preclinical and Clinical Factors Associated With Sleep Disturbance Assessed via the Neuro-QoL After Hemorrhagic Stroke.

Background and Purpose: Sleep disturbance after hemorrhagic stroke (intracerebral or subarachnoid hemorrhage) can impact rehabilitation, recovery, and quality of life. We sought to explore preclinical and clinical factors associated with sleep disturbance after hemorrhagic stroke assessed via the Quality of Life in Neurological Disorders (Neuro-QoL) short form sleep disturbance inventory. Methods: We telephonically completed the Neuro-QoL short form sleep disturbance inventory 3-months and 12-months after hemorrhagic stroke for patients >18-years-old hospitalized between January 2015 and February 2021. We examined the relationship between sleep disturbance (T-score >50) and social and neuropsychiatric history, systemic and neurological illness severity, medical complications, and temporality. Results: The inventory was completed for 70 patients at 3-months and 39 patients at 12-months; 18 (26%) had sleep disturbance at 3-months and 11 (28%) had sleep disturbance at 12-months. There was moderate agreement (κ = .414) between sleep disturbance at 3-months and 12-months. Sleep disturbance at 3-months was related to unemployment/retirement prior to admission (P = .043), lower Glasgow Coma Scale score on admission (P = .021), higher NIHSS score on admission (P = .041) and infection while hospitalized (P = .036). On multivariate analysis, sleep disturbance at 3-months was related to unemployment/retirement prior to admission (OR 3.58 (95% CI 1.03-12.37), P = .044). Sleep disturbance at 12-months was related to premorbid mRS score (P = .046). Conclusion: This exploratory analysis did not demonstrate a sustained relationship between any preclinical or clinical factors and sleep disturbance after hemorrhagic stroke. Larger studies that include comparison to patients with ischemic stroke and healthy individuals and utilize additional techniques to evaluate sleep disturbance are needed.

Probing the linkages between educational level and occupational choices of women working in urban informal sector of India.

BACKGROUND: Education is crucial for empowering women in the labour market. However, the choice of occupation may not always necessarily be determined by their level of education. OBJECTIVE: The present study seeks to answer two important questions: (1) Does education help in determining occupational choices of women working in the informal sector? (2) How do factors like number of dependents in the family, woman staying with family, migration status of a woman and the use of networks in the job-search process, affect the occupational choices of women working in the informal sector? METHOD: The study utilised the data collected from 476 women, working in the urban informal sector of three northern States of India. We have estimated multinomial Probit model to analyse the data. RESULTS: This paper argues that education level cannot be the sole premise for a woman to have a better occupational choice within the informal sector. Other factors play a relatively significant role in determining the choice of occupation by a woman. CONCLUSION: Working women in the urban informal sector have less autonomy in the choice of their occupation and the education levels alone cannot help in providing access to more hygienic, career enriching and well-paying options to them.

Facilitators and barriers to employment for people with physical disabilities: A cross-sectional study.

BACKGROUND: There is increasing evidence that employment, or the lack thereof, affects an individual's health. Consequently, employment provides people with physical disabilities (PWPD) with financial independence, enhances their well-being and self-worth, and facilitates a sense of purpose. People with physical disabilities often retain job skills and motivation to return to work after acquiring a disability. Their vocational rehabilitation and job accommodation needs likely differ from people with disabilities resulting from developmental, sensory, cognitive, and mental health conditions. To better target the needs of PWPD and improve vocational rehabilitation services, it is crucial to identify the modifiable factors that influence their employment outcomes. OBJECTIVE: This research aimed to examine systematically the client-, employer-, and context-related facilitators and barriers to employment experienced by PWPD. METHODS: We recruited to this cross-sectional study, PWPD from the Midwestern United States who returned to work after injury or illness. An online survey collected data on demographic characteristics and educational history; disability and functional status; supports, facilitators and barriers to employment; and job information and accommodations. RESULTS: 347 working-age PWPD completed the survey; at the time of survey completion, 270 were working and 77 were not. People with physical disabilities who reported social support and encouragement at work were more likely to be working than respondents who did not. Negative attitudes of supervisors and colleagues, inaccessible work environments, and inflexible work schedules were barriers to employment. Important reasons for working included financial needs, a sense of purpose, and self-worth. CONCLUSIONS: Results provide insights into the importance of social supports in the work environment. Novel approaches are needed to develop supportive relationships with supervisors and coworkers.

Structural Determinants of Health and Markers of Immune Activation and Systemic Inflammation in Sexual Minority Men With and Without HIV.

Among sexual minority men (SMM), HIV and use of stimulants such as methamphetamine are linked with immune activation and systemic inflammation. Throughout the COVID-19 pandemic, SMM encountered financial challenges and structural obstacles that might have uniquely contributed to immune dysregulation and systemic inflammation, beyond the impacts of HIV and stimulant use. Between August 2020 and February 2022, 72 SMM with and without HIV residing in South Florida enrolled in a COVID-19 prospective cohort study. Multiple linear regression analyses examined unemployment, homelessness, and history of arrest as structural correlates of soluble markers of immune activation (i.e., sCD14 and sCD163) and inflammation (i.e., sTNF-α receptors I and II) at baseline after adjusting for HIV status, stimulant use, and recent SARS-CoV-2 infection. Enrolled participants were predominantly Latino (59%), gay-identified (85%), and with a mean age of 38 (SD, 12) years with approximately one-third (38%) of participants living with HIV. After adjusting for HIV status, SARS-CoV-2 infection, and recent stimulant use, unemployment independently predicted higher levels of sCD163 (ß = 0.24, p = 0.04) and sTNF-α receptor I (ß = 0.26, p = 0.02). Homelessness (ß = 0.25, p = 0.02) and history of arrest (ß = 0.24, p = 0.04) independently predicted higher levels of sCD14 after adjusting for HIV status, SARS-CoV-2 infection, and recent stimulant use. Independent associations exist between structural barriers and immune activation and systemic inflammation in SMM with and without HIV. Future longitudinal research should further elucidate complex bio-behavioral mechanisms linking structural factors with immune activation and inflammation.

Digital Skills, STEM Occupation, and Job Automation Risks among the Older Workers in the United States.

BACKGROUND AND OBJECTIVES: Advancing automation technologies are replacing certain occupations such as those involving simple food preparation more than occupations such as those in STEM fields (e.g., engineering, health care). Older workers generally face higher job automation risks in part due to their lower levels of digital skills. A better understanding of the associations between job automation risk, digital skills, and type of occupation (e.g., STEM vs. non-STEM) can facilitate preparations for job automation and workforce population aging. RESEARCH DESIGN AND METHODS: We analyzed a nationally representative sample (N = 1,560) of middle-aged and older U.S. workers aged 50 to 74 years from the 2012/2014/2017 Program for International Assessment of Adult Competencies (PIAAC) restricted-use file. The estimated job automation risks (i.e., percentage of jobs to be automated in the next decades) \were derived from the previous studies. PIAAC digital problem-solving skills proficiency (measured on a scale of 0-500 points) was assessed based on a series of practical digital tasks (e.g., finding a job research website that does not require registration). RESULTS: Linear regression analysis showed that greater digital skill proficiency (b = -0.04, p < .05) and STEM occupations (b = -17.78, p < 0.001) each were associated with lower job automation risks, even after adjusting for a series of demographic, socioeconomic, and civic engagement characteristics. DISCUSSION AND IMPLICATIONS: Education and labor policy interventions to promote digital skills among older workers and non-STEM workers may better prepare an aging workforce for the dynamic labor market needs in the United States.

Situational analysis of general practitioners using a forecasting approach until 2025 and a multi-state Markov model: A retrospective longitudinal study.

Introduction: Undesirable working conditions, insufficient professional development and other labour market pressures have significantly impacted the status of general practitioners (GPs). This study aimed to conduct a situational analysis of GPs in Iran using a forecasting approach until 2025. Methods: Data were collected concurrently through direct contact, data matching among databases and tracking among graduates from four clusters of medical science universities over the past decade. This retrospective longitudinal study determined the status of GPs over consecutive years. Multi-state Markov and binary logistic regression analyses were performed using R and Stata 14. Results: Of 430 graduates over the past decade, 94% were successfully identified. Only 20% of the graduates remained active as GPs. The greatest fluctuations in transfer occurred in the third year after graduation, with the remaining proportion of GPs dropping to less than 50%. The probability of remaining as GPs was 0.76 per year, while the highest transition was observed towards specialisation (0.12). Additionally, 2% of the GPs chose not to work, and less than 1% transitioned to a different specialty. Based on the transfer matrix for 2025, only 19% of the GPs were projected to remain, with the majority (59%) transitioning to specialisation. Conclusion: The transfer probability varies across different years, indicating higher flow rates among GPs. However, only a limited number of GPs are projected to remain until 2025. A comprehensive set of interventions should be considered, spanning the pre-medical stage, during education and after graduation, to mitigate the factors contributing to GPs leaving their profession.

Overindebtedness, unemployment, and poor mental health - and the role of sense of control: a population-based Swiss study.

Background: Both overindebtedness and unemployment are critical life events that can result in or lead to poor mental health. What is less known is that the two partly interrelated events frequently go along with a feeling of loss or lack of control in life, which could be the main reason why they are associated with poor mental health. This has not been examined in previous research, particularly not in this combination. Methods: This study used and merged two cross-sectional data sets. Data collected in 2019 on 219 overindebted clients of the four official debt advisory centers in the Canton of Zurich were linked with a comparable subsample of 1,997 respondents from the Swiss Health Survey of 2017. The entire study population covered 2,216 adult individuals living in the Canton of Zurich. Results: The prevalence of no or low sense of control, medium to high psychological distress, and moderate to major depression was much higher among the 44 solely unemployed (36/30/12%), the 189 solely overindebted (73/83/53%), and particularly among the 30 unemployed and overindebted (93/97/60%) than among all 1,953 other survey participants (21/13/7%). Unemployment, overindebtedness, and a (resulting) lack or loss of control were all found to be strong risk factors for the two mental health outcomes under study. Associations, or rather negative health effects, were partly but not fully mediated by the sense of control. Overindebtedness much more strongly predicted psychological distress (ß = -0.37) and depression (ß = 0.17) than unemployment (ß = -0.05/0.01). The sense of control turned out to be an independent explanatory factor for poor mental health and even the strongest of all (ß = 0.49/-0.59). Conclusion: Improving a person's control beliefs could be a promising measure for preventing mental health disorders in general and in people who are unemployed and/or overindebted in particular.

Cumulative effect of unemployment on suicide mortality in South Korean workers (2018-2019).

BACKGROUND: While unemployment is known to increase the risk of suicide, its cumulative effect remains underexplored. This study investigates how unemployment affects suicide mortality and whether the effect varies based on the number of unemployment spells using two years of nationwide data. METHODS: Using the data from the National Statistical Office and Employment Insurance Database for 2018 and 2019, we identified an average of 2365 cases of suicide over two years among 7.76 million workers aged 25-64 years who had been employed within one year before their suicide. The number of unemployment spells was counted using the employment history of the past five years. We calculated crude suicide mortality rates per 100 000 population, age- and sex- standardized mortality rates (SMRs), and proportionate mortality rates (PMRs) for suicide. RESULTS: Over the two years, the crude suicide rate was 30.0 per 100 000 among the general population and 30.5 among workers. Workers with no unemployment spells in the past five years had a significantly lower SMR (0.44; 0.42-0.46), while those with four or more unemployment spells had a significantly higher SMR (3.13; 2.92-3.35) than the general population. These findings were consistent across all sex and age groups. Additionally, workers with four or more unemployment spells had a significantly higher PMR than the general population. CONCLUSION: The impact of unemployment on suicide mortality intensifies as the number of unemployment spells increases. These results underscore the necessity for additional social and psychological support along with economic assistance for individuals facing recurrent unemployment.

Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo.

Purpose: This study explores the intricate relationship between unemployment rates and emotional responses among Chinese university graduates, analyzing how these factors correlate with specific linguistic features on the popular social media platform Sina Weibo. The goal is to uncover patterns that elucidate the psychological and emotional dimensions of unemployment challenges among this demographic. Methods: The analysis utilized a dataset of 30,540 Sina Weibo posts containing specific keywords related to unemployment and anxiety, collected from January 2019 to June 2023. The posts were pre-processed to eliminate noise and refine the data quality. Linear regression and textual analyses were employed to identify correlations between unemployment rates for individuals aged 16-24 and the linguistic characteristics of the posts. Results: The study found significant fluctuations in urban youth unemployment rates, peaking at 21.3% in June 2023. A corresponding increase in anxiety-related expressions was noted in the social media posts, with peak expressions aligning with high unemployment rates. Linguistic analysis revealed that the category of "Affect" showed a strong positive correlation with unemployment rates, indicating increased emotional expression alongside rising unemployment. Other categories such as "Negative emotion" and "Sadness" also showed significant correlations, highlighting a robust relationship between economic challenges and emotional distress. Conclusion: The findings underscore the profound impact of unemployment on the emotional well-being of university students, suggesting that economic hardships are closely linked to psychological stress and heightened negative emotions. This study contributes to a holistic understanding of the socio-economic challenges faced by young adults, advocating for comprehensive support systems that address both the economic and psychological facets of unemployment.

Disability burden of epilepsy in Türkiye: How does it differ from other newly industrialized countries?

INTRODUCTION: Epilepsy accounts for a substantial part of the global burden of disability. This study aimed to investigate the employment history of people with epilepsy in Türkiye, evaluate the role of education level in employment and epilepsy burden, and compare epilepsy employment data in different societies according to sociodemographic index data. METHODS: This prospective study included 420 people 16-76 years of age who were diagnosed with epilepsy according to the criteria of the International League Against Epilepsy. Socioeconomic, clinical, and employment data were collected using a questionnaire in face-to-face interviews. RESULTS: The study sample was 52 % women, the mean age was 34.2 ± 12.7 years (range: 16-76 years), and the mean disease duration was 17.2 ± 12.6 years. Only 26.7 % (n = 112) of the participants were actively working, 38.8 % had never worked, and 64.5 % had changed jobs at least twice (mean 2.45 job changes). The unemployment rate among the study sample was 7 times higher than in the general population. Female gender, low self and parental education levels, high seizure frequency, and the use of multiple anti-seizure medications were significantly associated with lower employment. CONCLUSION: We determined that the employment rates and education levels of people with epilepsy in Türkiye are low, the unemployment rate is high, and the burden of epilepsy is higher when compared with other low-middle income and newly industrialized countries and national population data. Education and employment opportunities for people with epilepsy in Türkiye should be improved to reduce the burden of epilepsy-related disability and thereby increase quality of life, welfare, and psychosocial well-being in this group.

Work-Related Cognitive Behavioral Therapy for racially and economically diverse unemployed persons with social anxiety: A randomized clinical trial.

Individuals with Social Anxiety Disorder (SAD) are at risk for employment problems. This multi-site trial examined the efficacy of Work-Related Cognitive Behavioral Therapy provided alongside vocational services as usual (WCBT+VSAU), a group-based treatment designed to improve mental health and employment outcomes for individuals with SAD. Vocational service-seeking participants with SAD (N = 250) were randomized to either WCBT+VSAU or VSAU-alone. Hypotheses were that participants randomized to WCBT+VSAU would report less social anxiety, less depression, and more hours worked than participants randomized to VSAU-alone. WCBT+VSAU participants had significantly greater improvements on the Liebowitz Social Anxiety Scale (LSAS; d=-.25, CI=-0.49 to -0.02, p = .03) at post-assessment compared to VSAU-alone. The conditions did not differ on any variable at later time points or on secondary outcomes. Unexpectedly, participants randomized to VSAU-alone experienced LSAS improvements, similar to WCBT+VASU at later timepoints. Baseline psychological flexibility (beta=-.098 [-0.19-0.008]) and depression (beta=-0.18 [-0.34-0.009]) moderated change in social anxiety. Participants with lower psychological flexibility and higher depression responded more strongly to WCBT+VSAU than VSAU-alone over the duration of the study, suggesting that WCBT+VSAU may particularly benefit those with greater psychopathology. Results indicate that vocational centers are promising settings for treating SAD and employment-focused refinements are likely needed to improve work outcomes.

Multilevel Intervention Stepped Wedge Designs (MLI-SWDs).

Multilevel interventions (MLIs) hold promise for reducing health inequities by intervening at multiple types of social determinants of health consistent with the socioecological model of health. In spite of their potential, methodological challenges related to study design compounded by a lack of tools for sample size calculation inhibit their development. We help address this gap by proposing the Multilevel Intervention Stepped Wedge Design (MLI-SWD), a hybrid experimental design which combines cluster-level (CL) randomization using a Stepped Wedge design (SWD) with independent individual-level (IL) randomization. The MLI-SWD is suitable for MLIs where the IL intervention has a low risk of interference between individuals in the same cluster, and it enables estimation of the component IL and CL treatment effects, their interaction, and the combined intervention effect. The MLI-SWD accommodates cross-sectional and cohort designs as well as both incomplete (clusters are not observed in every study period) and complete observation patterns. We adapt recent work using generalized estimating equations for SWD sample size calculation to the multilevel setting and provide an R package for power and sample size calculation. Furthermore, motivated by our experiences with the ongoing NC Works 4 Health study, we consider how to apply the MLI-SWD when individuals join clusters over the course of the study. This situation arises when unemployment MLIs include IL interventions that are delivered while the individual is unemployed. This extension requires carefully considering whether the study interventions will satisfy additional causal assumptions but could permit randomization in new settings.

What is the impact of job precariousness on depression? Risk assessment and attributable fraction in Spain.

OBJECTIVES: The prevalence of depression related to precarious employment (PE) has become a significant public health concern, given the declining trend of the standard employment relationship. Research has focused on the mental health detrimental effects of employment conditions, whereas there is scarce evidence concerning the burden of depression that could be prevented by targeting precariousness. This paper estimates the impact of PE on the risk of depression and the attributable fraction within the active and working salaried population in Spain. STUDY DESIGN: Observational cross-sectional on data drawn from the Spanish portion of European Health Survey 2020. METHODS: After applying selection criteria and descriptives, binary logistic regression models stratified by sex are used to examine the associations between a 9-categories combination of employment precariousness and occupational social class, and depressive symptoms. RESULTS: There is a higher risk of depression among individuals in PE and among those who are unemployed, with a notable gradient based on occupational social class for women. Adjusting by sex, age and foreign-born origin, we estimate that approximately 15.0% (95% confidence interval [CI]: 1.0%-26.2%) of depression cases among the working population and 33.3% (95% CI: 23.2%-43.2) among the active population can be attributed to PE. CONCLUSIONS: These findings highlight the public health impact of PE on mental health, provide evidence to estimate the economic burden linked to employment-related mental health, and underscore the need for policy changes and interventions at the level of labour markets and workplaces to mitigate the detrimental effects of PE.

Food Insecurity in Greece and across the Globe: A Narrative Literature Review.

Food insecurity comprises a major global public health threat, as its effects are detrimental to the mental, physical, and social aspects of the health and well-being of those experiencing it. We performed a narrative literature review on the magnitude of global food insecurity with a special emphasis on Greece and analyzed the major factors driving food insecurity, taking into consideration also the effect of the COVID-19 pandemic. An electronic search of international literature was conducted in three databases. More than 900 million people worldwide experience severe food insecurity, with future projections showing increasing trends. Within Europe, Eastern and Southern European countries display the highest food insecurity prevalence rates, with Greece reporting a prevalence of moderate or severe food insecurity ranging between 6.6% and 8% for the period 2019-2022. Climate change, war, armed conflicts and economic crises are major underlying drivers of food insecurity. Amidst these drivers, the COVID-19 pandemic had a profound impact on food insecurity levels around the globe, through halting economic growth, disrupting food supply chains and increasing unemployment and poverty. Tackling food insecurity through addressing its key drivers is essential to any progress towards succeeding the Sustainable Development Goal of "Zero Hunger".

Autism and the Case Against Job Interviews.

Unemployment rates among autistic people are high even among those with low-support needs. While a variety of measures is needed to address this problem, this article defends one that has not been defended in detail and that has profound implications for contemporary hiring practices. Building on empirical research showing that job interviews are a major contributor to autistic unemployment, it argues that such interviews should be abolished in many cases for autistic and non-autistic people alike.