Using unsupervised clustering approaches to identify common mental health profiles and associated mental health-care service-use patterns in Ontario, Canada.

Mental health is a complex, multidimensional concept that goes beyond clinical diagnoses, including psychological distress, life stress, and well-being. In this study, we aimed to use unsupervised clustering approaches to identify multidimensional mental health profiles that exist in the population, and their associated service-use patterns. The data source was the 2012 Canadian Community Health Survey-Mental Health, linked to administrative health-care data; all Ontario, Canada, adult respondents were included. We used a partitioning around medoids clustering algorithm with Gower's proximity to identify groups with distinct combinations of mental health indicators and described them according to their sociodemographic and service-use characteristics. We identified 4 groups with distinct mental health profiles, including 1 group that met the clinical threshold for a depressive diagnosis, with the remaining 3 groups expressing differences in positive mental health, life stress, and self-rated mental health. The 4 groups had different age, employment, and income profiles and exhibited differential access to mental health-care services. This study represents the first step in identifying complex profiles of mental health at the population level in Ontario. Further research is required to better understand the potential causes and consequences of belonging to each of the mental health profiles identified. This article is part of a Special Collection on Mental Health.

Improving prevalence estimates of mental health and well-being indicators among Sexual Minority Men: A Propensity Weighting Approach.

The prevalence and relative disparities of mental health outcomes and well-being indicators are often inconsistent across studies of Sexual Minority Men (SMM) due to selection biases in community-based surveys (non-probability sample), as well as misclassification biases in population-based surveys where some SMM often conceal their sexual orientation identities. The current paper estimated the prevalence of mental health related outcomes (depressive symptoms, mental health service use [MHSU], anxiety) and well-being indicators (loneliness and self-rated mental health) among SMM, broken down by sexual orientation using the Adjusted Logistic Propensity score (ALP) weighting. We applied the ALP to correct for selection biases in the 2019 Sex Now data (a community-based survey of SMMs in Canada) by reweighting it to the 2015-2018 Canadian Community Health Survey (a population survey from Statistics Canada). For all SMMs, the ALP-weighted prevalence of depressive symptoms is 15.96% (95% CI: 11.36%, 23.83%), while for MHSU, it is 32.13% (95% CI: 26.09, 41.20). The ALP estimates lie in between the crude estimates from the two surveys. This method was successful in providing a more accurate estimate than relying on results from one survey alone. We recommend to the use of ALP on other minority populations under certain assumptions.

Evaluation of the Ontario Mandatory Working-at-Heights Training Requirement in Construction, 2012‒2019.

The province of Ontario, Canada, implemented mandatory day-long training for construction workers required to use fall-protection equipment. More than 400 000 training sessions were completed by 2017 when the requirement took full effect. The lost-time workers' compensation claim incidence rate attributable to falls targeted by the training was 19% lower in 2017-2019 than in 2012-2014. Rates for two comparator injuries increased or stayed the same. The decline in targeted fall claim incidence rate of the other Canadian provinces was 6%. (Am J Public Health. 2024;114(1):38-41. https://doi.org/10.2105/AJPH.2023.307440).

Variation in occupational exposure risk for COVID-19 workers' compensation claims across pandemic waves in Ontario.

OBJECTIVES: To understand rates of work-related COVID-19 (WR-C19) infection by occupational exposures across waves of the COVID-19 pandemic in Ontario, Canada. METHODS: We combined workers' compensation claims for COVID-19 with data from Statistics Canada's Labour Force Survey, to estimate rates of WR-C19 among workers spending the majority of their working time at the workplace between 1 April 2020 and 30 April 2022. Occupational exposures, imputed using a job exposure matrix, were whether the occupation was public facing, proximity to others at work, location of work and a summary measure of low, medium and high occupational exposure. Negative binomial regression models examined the relationship between occupational exposures and risk of WR-C19, adjusting for covariates. RESULTS: Trends in rates of WR-C19 differed from overall COVID-19 cases among the working-aged population. All occupational exposures were associated with increased risk of WR-C19, with risk ratios for medium and high summary exposures being 1.30 (95% CI 1.09 to 1.55) and 2.46 (95% CI 2.10 to 2.88), respectively, in fully adjusted models. The magnitude of associations between occupational exposures and risk of WR-C19 differed across waves of the pandemic, being weakest for most exposures in period March 2021 to June 2021, and highest at the start of the pandemic and during the Omicron wave (December 2021 to April 2022). CONCLUSIONS: Occupational exposures were consistently associated with increased risk of WR-C19, although the magnitude of this relationship differed across pandemic waves in Ontario. Preparation for future pandemics should consider more accurate reporting of WR-C19 infections and the potential dynamic nature of occupational exposures.

Unpaid overtime and mental health in the Canadian working population.

BACKGROUND: Unpaid overtime-describing a situation where extra hours are worked but not paid for-is a common feature of the labor market that, together with other forms of wage theft, costs workers billions of dollars annually. In this study, we examine the association between unpaid overtime and mental health in the Canadian working population. We also assess the relative strength of that association by comparing it against those of other broadly recognized work stressors. METHODS: Data were drawn from a survey administered to a heterogeneous sample of workers in Canada (n = 3691). Generalized linear models quantified associations between unpaid overtime, stress, and burnout, distinguishing between moderate (1-5) and excessive (6 or more) hours of unpaid overtime. RESULTS: Unpaid overtime was associated with higher levels of stress and burnout. Relative to those working no unpaid overtime, men working excessive unpaid overtime were 85% more likely to report stress (prevalence ratios [PR]: 1.85, 95% confidence interval [CI]: 1.26-2.72) and 84% more likely to report burnout (PR: 1.84, 95% CI: 1.34-2.54), while women working excessive unpaid overtime were 90% more likely to report stress (PR: 1.90, 95% CI: 1.32-2.75) and 52% more likely to report burnout (PR: 1.52; 95% CI: 1.12-2.06). The association of excessive unpaid overtime with mental health was comparable in magnitude to that of shift work and low job control. CONCLUSIONS: Unpaid overtime may present a significant challenge to the mental health of working people, highlighting the potential role of wage theft as a neglected occupational health hazard.

Work-related suicide: Evolving understandings of etiology & intervention.

Previously published analyses of suicide case investigations suggest that work or working conditions contribute to 10%-13% of suicide deaths. Yet, the way in which work may increase suicide risk is an underdeveloped area of epidemiologic research. In this Commentary, we propose a definition of work-related suicide from an occupational health and safety perspective, and review the case investigation-based and epidemiologic evidence on work-related causes of suicide. We identified six broad categories of potential work-related causes of suicide, which are: (1) workplace chemical, physical, and psychosocial exposures; (2) exposure to trauma on the job; (3) access to means of suicide through work; (4) exposure to high-stigma work environments; (5) exposure to normative environments promoting extreme orientation to work; and (6) adverse experiences arising from work-related injury or illness. We summarise current evidence in a schema of potential work-related causes that can also be applied in workplace risk assessment and suicide case investigations. There are numerous implications of these findings for policy and practice. Various principle- and evidence-based workplace intervention strategies for suicide prevention exist, some of which have been shown to improve suicide-prevention literacy, reduce stigma, enhance helping behaviours, and in some instances maybe even reduce suicide rates. Prevailing practice in workplace suicide prevention, however, overly emphasises individual- and illness-directed interventions, with little attention directed to addressing the working conditions that may increase suicide risk. We conclude that a stronger emphasis on improving working conditions will be required for workplace suicide prevention to reach its full preventive potential.

Understanding the Unmet Accommodation Needs of People Working with Mental or Cognitive Conditions: The Importance of Gender, Gendered Work, and Employment Factors.

PURPOSE: Workplace support needs for women and men living with mental health conditions are not well understood. This study examined workplace accommodation and support needs among women and men with and without mental health or cognitive conditions and individual and workplace factors associated with having unmet needs. METHODS: A cross-sectional survey of 3068 Canadian workers collected information on disability, gender, gendered occupations, job conditions, work contexts, and workplace accommodations. Multivariable logistic regression analyses examined gender- and disability-based differences in unmet needs for workplace flexibility, work modifications, and health benefits, and the association of work context (i.e., work schedule, job sector) and job conditions (i.e., precarious work) on the likelihood of unmet accommodation needs. The additive (i.e., super- or sub-additive) and multiplicative effects of disability, gender, and occupational gender distribution on the probability of unmet accommodation needs were also assessed. RESULTS: The most common unmet workplace accommodation was work modifications reported by 35.9% of respondents with mental/cognitive disability and workplace flexibility reported by 19.6% of individuals without a mental/cognitive disability. Women, employees in female dominant occupations, and participants with mental/cognitive disabilities were more likely to report unmet needs compared with men, employees in non-female dominant occupations, and participants without disabilities but these findings were largely explained by differences in job conditions and work contexts. No interacting effects on the likelihood of reporting unmet needs for workplace accommodations were observed. CONCLUSIONS: To support employee mental health, attention is needed to address work contexts and job conditions, especially for people working with mental/cognitive disabilities, women, and workers in female-dominated occupations where unmet accommodation needs are greatest.

Migraine and air pollution: A systematic review.

OBJECTIVE: To systematically synthesize evidence from a broad range of studies on the association between air pollution and migraine. BACKGROUND: Air pollution is a ubiquitous exposure that may trigger migraine attacks. There has been no systematic review of this possible association. METHODS: We searched for empirical studies assessing outdoor air pollution and any quantified migraine outcomes. We included short- and long-term studies with quantified air pollution exposures. We excluded studies of indoor air pollution, perfume, or tobacco smoke. We assessed the risk of bias with the World Health Organization's bias assessment instrument for air quality guidelines. RESULTS: The final review included 12 studies with over 4,000,000 participants. Designs included case-crossover, case-control, time series, and non-randomized pre-post intervention. Outcomes included migraine-related diagnoses, diary records, medical visits, and prescriptions. Rather than pooling the wide variety of exposures and outcomes into a meta-analysis, we tabulated the results. Point estimates above 1.00 reflected associations of increased risk. In single-pollutant models, the percent of point estimates above 1.00 were carbon monoxide 5/5 (100%), nitrogen dioxide 10/13 (78%), ozone 7/8 (88%), PM2.5 13/15 (87%), PM10 2/2 (100%), black carbon 0/1 (0%), methane 4/6 (75%), sulfur dioxide 3/5 (60%), industrial toxic waste 1/1 (100%), and proximity to oil and gas wells 6/13 (46%). In two-pollutant models, 16/17 (94%) of associations with nitrogen dioxide were above 1.00; however, more than 75% of the confidence intervals included the null value. Most studies had low to moderate risks of bias. Where differences were observed, stronger quality articles generally reported weaker associations. CONCLUSIONS: Balancing the generally strong methodologies with the small number of studies, point estimates were mainly above 1.00 for associations of carbon monoxide, nitrogen dioxide, ozone, and particulate matter with migraine. These results were most consistent for nitrogen dioxide.

Mental health service use among Canadian veterans within the first 5 years following service: methodological considerations for comparisons with the general population.

INTRODUCTION: Previous research comparing veteran and civilian mental health (MH) outcomes often assumes stable rates of MH service use over time and relies on standardisation or restriction to adjust for differences in baseline characteristics. We aimed to explore the stability of MH service use in the first 5 years following release from the Canadian Armed Forces and the Royal Canadian Mounted Police, and to demonstrate the impact of using increasingly stringent matching criteria on effect estimates when comparing veterans with civilians, using incident outpatient MH encounters as an example. METHODS: We used administrative healthcare data from veterans and civilians residing in Ontario, Canada to create three hard-matched civilian cohorts: (1) age and sex; (2) age, sex and region of residence; and (3) age, sex, region of residence and median neighbourhood income quintile, while excluding civilians with a history of long-term care or rehabilitation stay or receipt of disability/income support payments. Extended Cox models were used to estimate time-dependent HRs. RESULTS: Across all cohorts, time-dependent analyses suggested that veterans had a significantly higher hazard of an outpatient MH encounter within the first 3 years of follow-up than civilians, but differences were attenuated in years 4-5. More stringent matching decreased baseline differences in unmatched variables and shifted the effect estimates, while sex-stratified analyses revealed stronger effects among women compared with men. CONCLUSIONS: This methods-focused study demonstrates the implications of several study design decisions that should be considered when conducting comparative veteran and civilian health research.

Identifying the sociodemographic and work-related factors related to workers' daily physical activity using a decision tree approach.

BACKGROUND: The social and behavioural factors related to physical activity among adults are well known. Despite the overlapping nature of these factors, few studies have examined how multiple predictors of physical activity interact. This study aimed to identify the relative importance of multiple interacting sociodemographic and work-related factors associated with the daily physical activity patterns of a population-based sample of workers. METHODS: Sociodemographic, work, screen time, and health variables were obtained from five, repeated cross-sectional cohorts of workers from the Canadian Health Measures Survey (2007 to 2017). Classification and Regression Tree (CART) modelling was used to identify the discriminators associated with six daily physical activity patterns. The performance of the CART approach was compared to a stepwise multinomial logistic regression model. RESULTS: Among the 8,909 workers analysed, the most important CART discriminators of daily physical activity patterns were age, job skill, and physical strength requirements of the job. Other important factors included participants' sex, educational attainment, fruit/vegetable intake, industry, work hours, marital status, having a child living at home, computer time, and household income. The CART tree had moderate classification accuracy and performed marginally better than the stepwise multinomial logistic regression model. CONCLUSION: Age and work-related factors-particularly job skill, and physical strength requirements at work-appeared as the most important factors related to physical activity attainment, and differed based on sex, work hours, and industry. Delineating the hierarchy of factors associated with daily physical activity may assist in targeting preventive strategies aimed at promoting physical activity in workers.

Parallel latent trajectories of mental health and personal earnings among 16- to 20 year-old US labor force participants: a 20-year longitudinal study.

PURPOSE: Determine the number of latent parallel trajectories of mental health and employment earnings over two decades among American youth entering the workforce and estimate the association between baseline sociodemographic and health factors on latent trajectory class membership. METHODS: This study used data of 8173 participants from the National Longitudinal Survey of Youth 1997 who were 13-17 years old in 1997. Surveys occurred annually until 2011 then biennially until 2017, when participants were 33-37 years old. The Mental Health Inventory-5 measured mental health at eight survey cycles between 2000 and 2017. Employment earnings were measured annually between 1998 and 2017. Latent parallel trajectories were estimated using latent growth modeling. Multinomial logistic regression explored the association between baseline factors and trajectory membership. RESULTS: Four parallel latent classes were identified; all showed stable mental health and increasing earnings. Three percent of the sample showed a good mental health, steep increasing earnings trajectory (average 2017 earnings ~ $196,000); 23% followed a good mental health, medium increasing earnings trajectory (average 2017 earnings ~ $78,100); 50% followed a good mental health, low increasing earnings trajectory (average 2017 earnings ~ $39,500); and 24% followed a poor mental, lowest increasing earnings trajectory (average 2017 earnings ~ $32,000). Participants who were younger, women, Black or Hispanic, from lower socioeconomic households, and reported poorer health behaviors had higher odds of belonging to the poor mental health, low earnings class. CONCLUSION: Findings highlight the parallel courses of mental health and labor market earnings, and the influence of gender, race/ethnicity, and adolescent circumstances on these processes.

Do regional labor market conditions matter for temporary work disability duration? A multilevel analysis of workers' compensation claims in five Canadian provinces.

BACKGROUND: Research has shown how regionally varying labor market conditions are associated with differences in work disability duration. However, the majority of these studies have not used multilevel models to appropriately account for the hierarchical clustering of individuals nested within contextual units (e.g., regions). Studies that have used multilevel models have focused on privately insured workers or on disability not specifically caused by work-related injury or illness. METHODS: Using claims data from five Canadian provincial workers' compensation systems, linear random-intercept models were used to estimate how much variance in temporary work disability duration ('work disability duration' for brevity) for work-related injuries and musculoskeletal disorders was due to differences between economic regions, what economic region-level labor market characteristics were associated with work disability duration, and what characteristics best explained economic region differences in work disability duration. RESULTS: Economic region characteristics, such as the unemployment rate and proportion of goods-producing employment, were independently associated with individual-level work disability duration. However, economic region variation only accounted for 1.5%-2% of total variation in work disability duration. The majority (71%) of economic region-level variation was explained by the provincial jurisdiction where the worker lived and was injured. Regional variation tended to be greater for female workers than males. CONCLUSIONS: The findings suggest that while regional labor market conditions matter for work disability duration, system-level differences in workers' compensation and health care are more important factors influencing work disability duration. Furthermore, while this study includes both temporary and permanent disability claims, the work disability duration measure only captures temporary disability.

Artificial intelligence and the work-health interface: A research agenda for a technologically transforming world of work.

The labor market is undergoing a rapid artificial intelligence (AI) revolution. There is currently limited empirical scholarship that focuses on how AI adoption affects employment opportunities and work environments in ways that shape worker health, safety, well-being and equity. In this article, we present an agenda to guide research examining the implications of AI on the intersection between work and health. To build the agenda, a full day meeting was organized and attended by 50 participants including researchers from diverse disciplines and applied stakeholders. Facilitated meeting discussions aimed to set research priorities related to workplace AI applications and its impact on the health of workers, including critical research questions, methodological approaches, data needs, and resource requirements. Discussions also aimed to identify groups of workers and working contexts that may benefit from AI adoption as well as those that may be disadvantaged by AI. Discussions were synthesized into four research agenda areas: (1) examining the impact of stronger AI on human workers; (2) advancing responsible and healthy AI; (3) informing AI policy for worker health, safety, well-being, and equitable employment; and (4) understanding and addressing worker and employer knowledge needs regarding AI applications. The agenda provides a roadmap for researchers to build a critical evidence base on the impact of AI on workers and workplaces, and will ensure that worker health, safety, well-being, and equity are at the forefront of workplace AI system design and adoption.

Daily accelerometer-measured physical activity patterns and associations with cardiometabolic health among Canadian working adults.

Background: Previous studies examining the cardiometabolic risks associated with physical activity (PA) in workers have predominantly used self-reported measures. Little is known about workers' distinct daily PA patterns and whether these are linked with cardiometabolic risks. This study examined associations between patterns of workers' accelerometer-measured daily PA and four markers of cardiometabolic health. Data and methods: Working adults (N=8,229; 47% women; average age: 42 years; standard deviation = 0.3) were sampled from the Canadian Health Measures Survey (five cycles: 2007 to 2017). Accelerometer devices measured daily PA, and hierarchical cluster analysis identified distinct activity patterns. Multiple linear regression analyses examined associations between activity patterns and cardiometabolic risk markers (waist circumference, systolic and diastolic blood pressure, and non-high-density lipoprotein [HDL] cholesterol). Results: Workers were classified into six distinct activity patterns. On average, compared with workers classified in the "lowest activity" pattern, workers with the "moderate consistent activity," "fluctuating moderate activity," "high daytime activity" and "highest activity" patterns were associated with lower waist circumferences; workers with the "fluctuating moderate activity" and "highest activity" patterns were associated with lower systolic blood pressure; the "moderate evening activity" pattern was associated with lower diastolic blood pressure; and workers with the "fluctuating moderate activity," "high daytime activity" and "highest activity" patterns were associated with lower non-HDL cholesterol. "High daytime activity" was associated with lower waist circumference in women, compared with men, and the "moderate consistent activity" and "fluctuating moderate activity" patterns were associated with lower diastolic blood pressure in younger workers (40 years or younger). Interpretation: Workers with high daily PA levels tended to have the most optimal cardiometabolic health. Some evidence suggested that there are benefits to moderate levels of PA, particularly for lowering waist circumference and non-HDL cholesterol. Findings may assist in identifying workers for PA initiatives to promote cardiometabolic health benefits.

The Employment Quality of Persons with Disabilities: Findings from a National Survey.

PURPOSE: Labour market integration is a widely accepted strategy for promoting the social and economic inclusion of persons with disabilities. But what kinds of jobs do persons with disabilities obtain following their integration into the labour market? In this study, we use a novel survey of workers to describe and compare the employment quality of persons with and without disabilities in Canada. METHODS: We administered an online, cross-sectional survey to a heterogeneous sample of workers in Canada (n = 2,794). We collected data on sixteen different employment conditions (e.g., temporary contract, job security, flexible work schedule, job lock, skill match, training opportunities, and union membership). We used latent class cluster analysis to construct a novel typology of employment quality describing four distinct 'types' of employment: standard, portfolio, instrumental, and precarious. We examined associations between disability status, disability type, and employment quality. RESULTS: Persons with disabilities reported consistently lower employment quality than their counterparts without disabilities. Persons with disabilities were nearly twice as likely to report low-quality employment in the form of either instrumental (i.e., secure but trapped) or precarious (i.e., insecure and unrewarding) employment. This gap in employment quality was particularly pronounced for those who reported living with both a physical and mental/cognitive condition. CONCLUSION: There are widespread inequalities in the employment quality of persons with and without disabilities in Canada. Policies and programs aiming to improve the labour market situation of persons with disabilities should emphasize the importance of high-quality employment as a key facet of social and economic inclusion.

A Sensibility Assessment of the Job Demands and Accommodation Planning Tool (JDAPT): A Tool to Help Workers with an Episodic Disability Plan Workplace Support.

Purpose Sensibility refers to a tool's comprehensiveness, understandability, relevance, feasibility, and length. It is used in the early development phase to begin assessing a new tool or intervention. This study examined the sensibility of the job demands and accommodation planning tool (JDAPT). The JDAPT identifies job demands related to physical, cognitive, interpersonal, and working conditions to better target strategies for workplace supports and accommodations aimed at assisting individuals with chronic health conditions. Methods Workers with a chronic health condition and workplace representatives were recruited from health charities, workplaces, and newsletters using convenience sampling. Cognitive interviews assessed the JDAPT's sensibility. A 70% endorsement rate was the minimum level of acceptability for sensibility concepts. A short screening tool also was administered, and answers compared to the complete JDAPT. Results Participants were 46 workers and 23 organizational representatives (n = 69). Endorsements highly exceeded the 70% cut-off for understandability, relevance, and length. Congruence between screening questions and the complete JDAPT suggested both workers and organizational representatives overlooked job demands when completing the screener. Participants provided additional examples and three new items to improve comprehensiveness. The JDAPT was rated highly relevant and useful, although not always easy to complete for someone with an episodic condition. Conclusions This study highlights the need for tools that facilitate accommodations for workers with episodic disabilities and provides early evidence for the sensibility of the JDAPT.

Comparing the Life Satisfaction of Older Immigrants and Refugees to Canadian-Born Older Adults: The Role of Immigrant Admission Classes.

OBJECTIVES: Immigrant admission classes represent different entry routes to Canada and potential divergent pathways for later-life well-being. This study examined later-life satisfaction, an important correlate of well-being, comparing levels between Canadian-born older adults with those of older immigrants and refugees by admission class and considering the role of residency time in Canada. METHODS: This study used data from the Canadian Community Health Survey (2009-2014) linked to landing records for those 55 years and older. Regression models explored the association between admission class and later-life satisfaction adjusting for covariates and stratified by residency time in Canada. RESULTS: After accounting for a range of demographic, socioeconomic, and health characteristics, economic class principal applicants and refugees had significantly lower life satisfaction than Canadian-born older adults. The negative association with life satisfaction among economic class principal applicants persisted even after accounting for residency time in Canada. CONCLUSIONS: Both admission class and length of residency in Canada are associated with levels of later-life satisfaction. Future studies should look beyond aggregated measures of immigrant status when examining determinants of well-being in later-life. CLINICAL IMPLICATIONS: Vulnerable subgroups of immigrants and refugees are at risk of experiencing lower later-life satisfaction and adverse later-life outcomes.

The Relationship Between Overqualification and Incident Diabetes: A 14-Year Follow-Up Study.

OBJECTIVE: Recent research identified that workplace factors play a role in the development of diabetes mellitus (DM). This study examines the longitudinal association of work-related overqualification with the incidence of DM over a 14-year follow-up period. METHODS: We used data from the 2003 Canadian Community Health Survey linked to the Ontario Health Insurance Plan and the Canadian Institute for Health Information Discharge Abstract databases. Cox proportional hazards regression models were performed to evaluate the relationship between overqualification and the incidence of DM. RESULTS: Over the study period, there were 91,835 person-years of follow-up (median follow-up = 13.7 years). The final sample included 7026 respondents (mean [standard deviation] age at baseline = 47.1 [8.2]; 47% female). An elevated risk of DM was associated with substantial overqualification (hazard ratio = 1.58, 95% confidence interval = 1.01-2.49) after adjustment for sociodemographic, health, and work variables. Additional adjustment for body mass index and health behaviors attenuated this risk (hazard ratio = 1.30, 95% confidence interval = 0.81-2.08). Underqualification was not associated with the incidence of DM in adjusted regression models. We did not observe any statistical difference in the effects of overqualification on DM risk across sex or education groups. CONCLUSIONS: This study adds to the growing body of research literature uncovering the relationships between work exposures and DM risk. The results from the study suggest that higher body mass index and, to a lesser extent, health behaviors may be mediating factors in the association between overqualification and incident DM. Further research on the association of overqualification with DM is warranted.

Gender differences in authorship prior to and during the COVID-19 pandemic in research submissions to Occupational and Environmental Medicine (2017-2021).

OBJECTIVE: To explore whether the COVID-19 pandemic has impacted productivity of female academics in the field of occupational and environmental health, by examining trends in male and female authorship of submissions during and prior to the COVID-19 pandemic in Occupational and Environmental Medicine. METHODS: Administrative data on submissions between January 2017 and November 2021 were obtained through databases held at BMJ journals. Author gender was identified using an existing algorithm based on matching names to social media accounts. The number and proportion of female and male primary (first) and senior (last) authors were examined for each quarter, and the average change in share of monthly submissions from male authors in the months since the pandemic compared with corresponding months prior to the pandemic were identified using regression models estimating least squares means. RESULTS: Among 2286 (64.7%) and 2335 (66.1%) manuscripts for which first and last author gender were identified, respectively, 49.3% of prepandemic submissions were from male first authors, increasing to 55.4% in the first year of the pandemic (difference of 6.1%, 95% CI 1.3% to 10.7%), before dropping to 46.6% from April 2021 onwards. Quarterly counts identified a large increase in submissions from male authors during the first year after the onset of the pandemic, and a smaller increase from female authors. The proportion of male last authors did not change significantly during the pandemic. CONCLUSIONS: These findings suggest that there has been an increase in male productivity during the COVID-19 pandemic within the field of occupational and environmental health research that is present to a lesser extent among women.

Impact of persistent pain symptoms on work absence, health status and employment 18 months following disabling work-related injury or illness.

OBJECTIVES: While most individuals physically injured at work will make a complete medical recovery, a portion of workers will experience persistent pain following their injury. This study estimated persistent pain prevalence and its association with health and return-to-work outcomes 18 months following the incidence of a disabling work-related injury. METHODS: We studied 1131 workers disabled by a work-related injury who were recruited from a sampling frame of disability benefit claimants in Ontario, Canada. Work injuries and claim benefits characteristics from administrative data were linked with measures of work status, pain symptoms, and physical and mental health obtained from telephone interviews completed 18 months postinjury. Associations of persistent pain symptoms with health and employment outcomes 18 months postinjury were estimated using multinomial and linear regression. RESULTS: Roughly 30% of participants reported no pain symptoms in the previous 4 weeks, 45% reported mild pain symptoms and 25% reported severe pain symptoms accompanied by substantial functional impairment. Workers with severe pain symptoms were more likely to not be currently working at 18 months (33%) vs those without pain symptoms (16%), and had poorer self-reported physical and mental health. Workers with severe pain symptoms had higher probabilities of benefit durations of 12-18 months (OR=9.35), higher lost-earnings costs (~47.7% higher) and higher healthcare expenditure costs at 18 months (~125.9% higher) compared with those with no pain symptoms. CONCLUSIONS: Persistent pain symptom prevalence 18 months postinjury is high among workers disabled by a work-related injury and associated with substantial functional impairment and longer wage replacement benefit duration.