Joint Models Inform the Longitudinal Assessment of Patient-Reported Outcomes in Clinical Trials: A Simulation Study and Secondary Analysis of the Restrictive versus Liberal Fluid Therapy for Major Abdominal Surgery (RELIEF) Randomized Controlled Trial.

OBJECTIVE: Evaluate the utility of a joint model when analysing a patient-reported endpoint as part of a randomized controlled trial in which censoring occurs when patients die during follow-up. STUDY DESIGN AND SETTING: The present study comprises two parts: first we re-analyzed data from a previously published randomized controlled trial comparing two fluid regimens in the first 24 hours of major abdomino-pelvic surgery ('RELIEF' trial). In this trial, patient-reported disability was measured at multiple timepoints before and after surgery. Next, we conducted a simulation study to jointly emulate patient-reported disability and survival, similar to the RELIEF trial, under nine treatment-outcome scenarios. In both parts, we compared a joint model analysis to a linear mixed effect model combined with one of several traditional methods of handling longitudinal missingness: available data analysis, complete case analysis, last observation carried forward, and worst-case assumption. RESULTS: In part one, the joint model revealed no between-group differences in patient-reported disability at one, three, six, and 12 months after surgery. The worst-case approach consistently resulted in the largest deviation from the joint model estimates, although in this particular setting none of the approaches materially changed the study's conclusions. In part two, the simulations revealed that across all treatment-outcome scenarios, the joint model expectedly produced unbiased estimates of patient-reported disability. Similarly, employing an approach based on all available data (i.e., relying on the maximum likelihood estimator for handling missingness) yielded disability estimates close to the simulated values, albeit with slight bias across some scenarios. The last observation carried forward approach mirrored the joint model's estimates except when the treatment had a non-null effect on patient-reported disability. The worst case analysis resulted in high bias, which was particularly evident when the treatment had a large effect on survival. The complete case analysis resulted in high bias across all scenarios. CONCLUSIONS: In randomized trials that employ a patient-reported outcome as one of their endpoints, a joint model can address bias arising from informative missingness related to death. Methods for handling missingness based on all available data appear to be a reasonable alternative to joint models, with only slight bias across some simulated scenarios.

Gender and sex differences in occupation-specific infectious diseases: a systematic review.

Occupational infectious disease risks between men and women have often been attributed to the gendered distribution of the labour force, with limited comparative research on occupation-specific infectious disease risks. The objective of this study was to compare infectious disease risks within the same occupations by gender. A systematic review of peer-reviewed studies published between 2016 and 2021 was undertaken. To be included, studies were required to report infectious disease risks for men, women or non-binary people within the same occupation. The included studies were appraised for methodological quality. A post hoc power calculation was also conducted. 63 studies were included in the systematic review. Among high-quality studies with statistical power (9/63), there was evidence of a higher hepatitis risk for men than for women among patient-facing healthcare workers (HCWs) and a higher parasitic infection risk for men than for women among farmers (one study each). The rest of the high-quality studies (7/63) reported no difference between men and women, including for COVID-19 risk among patient-facing HCWs and physicians, hepatitis risk among swine workers, influenza risk among poultry workers, tuberculosis risk among livestock workers and toxoplasmosis risk among abattoir workers. The findings suggest that occupational infectious disease risks are similarly experienced for men and women within the same occupation with a few exceptions showing a higher risk for men. Future studies examining gender/sex differences in occupational infectious diseases need to ensure adequate sampling by gender.

Precarious employment and the workplace transmission of COVID-19: evidence from workers' compensation claims in Ontario, Canada.

OBJECTIVE: To examine the association between precarious employment and risk of work-related COVID-19 infection in Ontario, Canada. METHODS: We combined data from an administrative census of workers' compensation claims with corresponding labour force statistics to estimate rates of work-related COVID-19 infection between April 2020 and April 2022. Precarious employment was imputed using a job exposure matrix capturing temporary employment, low wages, irregular hours, involuntary part-time employment and a multidimensional indicator of 'low', 'medium', 'high' and 'very high' overall exposure to precarious employment. We used negative binomial regression models to quantify associations between precarious employment and accepted compensation claims for COVID-19. RESULTS: We observed a monotonic association between precarious employment and work-related COVID-19 claims. Workers with 'very high' exposure to precarious employment presented a nearly fivefold claim risk in models controlling for age, sex and pandemic wave (rate ratio (RR): 4.90, 95% CI 4.07 to 5.89). Further controlling for occupational exposures (public facing work, working in close proximity to others, indoor work) somewhat attenuated observed associations. After accounting for these factors, workers with 'very high' exposure to precarious employment were still nearly four times as likely to file a successful claim for COVID-19 (RR: 3.78, 95% CI 3.28 to 4.36). CONCLUSIONS: During the first 2 years of the pandemic, precariously employed workers were more likely to acquire a work-related COVID-19 infection resulting in a successful lost-time compensation claim. Strategies aiming to promote an equitable and sustained recovery from the pandemic should consider and address the notable risks associated with precarious employment.

The Job Demands and Accommodation Planning Tool (JDAPT): A Nine-Month Evaluation of Use, Changes in Self-efficacy, Presenteeism, and Absenteeism in Workers with Chronic and Episodic Disabilities.

PURPOSE: Enhancing workplace communication and support processes to enable individuals living with disabilities to sustain employment and return to work is a priority for workers, employers, and community stakeholders. The objective of this study was to evaluate a new resource that addresses support challenges, the Job Demands and Accommodation Planning Tool (JDAPT), and assess its use, relevance, and outcomes over a nine-month follow-up period. METHODS: Workers with physical and mental health/cognitive conditions causing limitations at work were recruited using purposive sampling. Online surveys were administered at baseline (prior to using the JDAPT), and at three and nine months post-baseline. Information was collected on demographics (e.g., age, gender) and work characteristics (e.g., job sector, organization size). Outcomes included assessing JDAPT use and relevance, and changes in self-efficacy, work productivity difficulties, employment concerns, difficulties with job demands, and absenteeism. RESULTS: Baseline participants were 269 workers (66% women; mean age 41 years) of whom 188 (69.9%) completed all three waves of data collection. Many workers reported using JDAPT strategies at and outside of work, and held positive perceptions of the tool's usability, relevance, and helpfulness. There were significant improvements (Time 1-2; Time 1-3) in self-efficacy, perceived work productivity, and absenteeism with moderate to large effect sizes in self-efficacy and productivity (0.46 to 0.78). Findings were consistent across gender, age, health condition, and work context variables. CONCLUSIONS: The JDAPT can enhance support provision and provide greater transparency and consistency to workplace disability practices, which is critical to creating more inclusive and accessible employment opportunities.

Is precarious employment an occupational hazard? Evidence from Ontario, Canada.

OBJECTIVES: To examine the association between precarious employment and risk of occupational injury or illness in Ontario, Canada. METHODS: We combined accepted lost-time compensation claims from the Workplace Safety and Insurance Board with labour force statistics to estimate injury and illness rates between January 2016 and December 2019. Precarious employment was imputed using a job exposure matrix and operationalised in terms of temporary employment, low wages, irregular hours, involuntary part-time employment and a multidimensional measure of 'low', 'medium', 'high' and 'very high' probabilities of exposure to precarious employment. Negative binomial regression models examined exposure to precarious employment in relation to risk of occupational injury or illness. RESULTS: After adjusting for age, sex and year, all indicators of precarious employment were associated with increased risk of injury or illness. Workers with 'high' and 'very' high' exposure to precarious employment presented a nearly threefold risk of injury or illness (rate ratio (RR): 2.81, 95% CI 2.73 to 2.89; RR: 2.82, 95% CI 2.74 to 2.90). Further adjustment for physical demands and workplace hazards attenuated associations, though a statistically and substantively significant exposure-outcome relationship persisted for workers with 'high' and 'very high' exposures to precarious employment (RR: 1.65, 95% CI 1.58 to 1.72; RR: 2.00, 95% CI 1.92 to 2.08). CONCLUSIONS: Workers exposed to precarious employment are more likely to sustain a lost-time injury or illness in Ontario, Canada. Workplace health and safety strategies should consider the role of precarious employment as an occupational hazard and a marker of work injury risk.

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.

Cannabis use motives and associations with personal and work characteristics among Canadian workers: a cross-sectional study.

BACKGROUND: Research on cannabis use motives has focused on youth. Little is known about motives among working adults, including how work may play a role. This study aimed to describe cannabis use motives and their connection to work, and identify the personal and work correlates of work-related motives among a sample of workers. METHODS: A national, cross-sectional sample of Canadian workers were queried about their cannabis use. Workers reporting past-year cannabis use (n = 589) were asked their motives for using cannabis and whether each motive was related to work or helped them manage at work (i.e., work-related). Multinomial logistic regression analyses were conducted to estimate the associations of personal and work characteristics with work-related cannabis use motives (no work-related motives, < 50% of motives work-related, ≥ 50% of motives work-related). RESULTS: Use for relaxation (59.3%), enjoyment (47.2%), social reasons (35.3%), coping (35.1%), medical reasons (30.9%), and sleep (29.9%) were the most common motives. Almost 40% of respondents reported one or more of their cannabis use motives were work-related, with coping (19.9%) and relaxation (16.3%) most commonly reported as work-related. Younger age, poorer general health, greater job stress, having a supervisory role, and hazardous work were associated with increased odds of reporting at least some cannabis use motives to be work-related, while work schedule and greater frequency of alcohol use were associated with reduced odds of motives being primarily work-related. CONCLUSIONS: Cannabis use motives among workers are diverse and frequently associated with work. Greater attention to the role of work in motivating cannabis use is warranted.

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.

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.

The adequacy of workplace accommodation and the incidence of permanent employment separations after a disabling work injury or illness.

OBJECTIVE: This study aimed to estimate the influence of the adequacy of employer accommodations of health impairments in predicting permanent separation from the employment relationship in a cohort of workers disabled by a work-related injury or illness. METHODS: The study used data from a retrospective, observational cohort of 1793 Ontario workers who participated in an interviewer-administered survey 18 months following a disabling injury or illness. The relative risks (RR) of a permanent employment separation associated with inadequate employer accommodations were estimated using inverse probability of treatment weights to reduce confounding. RESULTS: Over the 18-month follow-up, the incidence of permanent separation was 30.1/100, with 49.2% of separations related to health status. Approximately 51% of participants experiencing a separation were exposed to inadequate workplace accommodations, compared to 27% of participants in continuing employment. The propensity score adjusted RR of a health-related separation associated with inadequate accommodation was substantial [RR 2.72; 95% confidence interval (CI) 2.20-3.73], greater than the RR of separations not related to health (RR 1.68; 95% CI 1.38-2.21). CONCLUSIONS: Incidence of permanent separation in this cohort of Ontario labor force participants was approximately two times more frequent than would be expected. The adequacy of employer accommodation was a strong determinant of the risk of permanent separation. These findings emphasize the potential for strengthened workplace accommodation practices in this setting.

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.

An observational study of pain severity, cannabis use, and benefit expenditures in work disability.

OBJECTIVE: This study pools two cohorts of workers in Ontario interviewed 18 months following a disabling work-related injury to estimate the association between pain severity, cannabis use, and disability benefit expenditures. METHODS: Among 1650 workers, disability benefit expenditures obtained from administrative records were combined with self-reported measures of pain symptoms and cannabis use. Disability benefit expenditures comprised wage replacement benefits and expenditures on healthcare services. RESULTS: Past-year cannabis use was reported by 31% of participants, with approximately one third of cannabis use attributed to the treatment of conditions arising from the work-related injury. Condition-related cannabis use was elevated among the 34% of participants reporting severe pain symptoms. In regression models adjusted for age, sex, nature of injury, opioid prescription, and pre-injury chronic conditions, participants reporting condition-related cannabis use had equivalent wage replacement benefit expenditures (ß = 0.254, ns) and higher healthcare benefit expenditures (ß = 0.433, p = 0.012) compared to participants who did not use cannabis. Participants reporting cannabis use unrelated to conditions arising from their work-related injury had lower wage replacement benefit expenditures (ß = - 0.309, p = 0.002) and equivalent healthcare benefit expenditures (ß = - 0.251, ns) compared to participants not using cannabis. CONCLUSION: This novel study of workers' compensation claimants interviewed at 18 months post-injury did not observe a substantial relationship between cannabis use and disability benefit expenditures, suggesting that neither harm nor significant benefit is associated with cannabis use. These findings contribute to understanding the potential benefits and risks associated with cannabis use in settings that have legalized cannabis use.

RéSUMé: OBJECTIF: Cette étude regroupe deux cohortes de travailleurs et travailleuses de l'Ontario interviewés 18 mois après un accident de travail invalidant; elle vise à estimer l'association entre la gravité de la douleur, la consommation de cannabis et les dépenses en prestations d'invalidité. MéTHODE: Les dépenses en prestations d'invalidité de 1 650 travailleurs et travailleuses, obtenues en consultant les dossiers administratifs, ont été combinées aux indicateurs autodéclarés de symptômes de douleur et de consommation de cannabis. Les dépenses en prestations d'invalidité englobaient les prestations de remplacement du salaire et les dépenses en services de soins de santé. RéSULTATS: Une consommation de cannabis au cours de la dernière année a été déclarée par 31 % des participants; environ le tiers de cette consommation de cannabis était imputée au traitement d'affections causées par l'accident de travail. La consommation de cannabis liée à une affection était élevée chez les 34 % de participants ayant déclaré de graves symptômes de douleur. Selon nos modèles de régression ajustés selon l'âge, le sexe, la nature de la blessure, la prescription d'opioïdes et l'existence d'états chroniques avant l'accident, pour les participants ayant déclaré une consommation de cannabis liée à une affection, les dépenses en prestations de remplacement du salaire étaient équivalentes (ß = 0,254, ns) et les dépenses en prestations de soins de santé étaient supérieures (ß = 0,433, p = 0,012) à celles des participants n'ayant pas consommé de cannabis. Pour les participants ayant déclaré une consommation de cannabis sans rapport avec des affections causées par leur accident de travail, les dépenses en prestations de remplacement du salaire étaient inférieures (ß = -0,309, p = 0,002) et les dépenses en prestations de soins de santé étaient équivalentes (ß = -0,251, ns) à celles des participants n'ayant pas consommé de cannabis. CONCLUSION: Cette étude novatrice menée auprès de demandeurs d'indemnités interviewés 18 mois après leur accident n'a pas observé de relation importante entre la consommation de cannabis et les dépenses en prestations d'invalidité, ce qui semble indiquer que ni des préjudices, ni des avantages significatifs ne sont associés à la consommation de cannabis. Ces constats contribuent à la compréhension des avantages et des risques qui pourraient être associés à la consommation de cannabis dans les milieux où cette consommation est légale.

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.

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).

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.

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.

Transition between social protection systems for workers with long term health problems: A controlled retrospective cohort study.

Many nations have established workers' compensation systems as a feature of their social protection system. These systems typically provide time-limited entitlements such as wage replacement benefits and funding for medical treatment. Entitlements may end for workers with long-term health conditions before they have returned to employment. We sought to determine the prevalence of transitions to alternative forms of social protection, specifically social security benefits, among injured workers with long-term disability, when workers' compensation benefits end. We linked Australian workers' compensation and social security data to examine receipt of social security payments one year before and after workers' compensation benefit cessation. Study groups included (1) injured workers whose workers' compensation benefits ceased due to reaching a 260-week limit introduced by legislative reform (N = 2761), (2) a control group of injured workers with at least 104 weeks workers compensation income support (N = 3890), and (3) a matched community control group (N = 10,114). Adjusted binary logistic regression examined the odds of transitions to social security in the injured worker groups relative to the community control group. Within 12 months of workers' compensation benefit cessation, 60% (N = 1669) of the exposed group received social security payments, of which 41% (N = 1120) received the unemployment allowance and 19% (N = 516) the disability pension. Among the work injured control group, 42% (N = 1676) received social security payments after workers compensation benefits ceased. Transitions to social security payments were significantly more common than community levels for both exposed (OR 25.0, 95%CI = 20.7, 30.1) and work injured control groups (OR 4.7, 95%CI = 4.2, 5.3). Many injured workers with long-term health problems transition to social security when their workers' compensation benefits cease. Transitions were more common among workers whose claims ended due to legislative reform which time-limited benefits. Design and implementation of system level policy reform should consider the social and economic impacts of transitions between separate social protection systems.

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.