An urgent call to address work-related psychosocial hazards and improve worker well-being.

Work-related psychosocial hazards are on the verge of surpassing many other occupational hazards in their contribution to ill-health, injury, disability, direct and indirect costs, and impact on business and national productivity. The risks associated with exposure to psychosocial hazards at work are compounded by the increasing background prevalence of mental health disorders in the working-age population. The extensive and cumulative impacts of these exposures represent an alarming public health problem that merits immediate, increased attention. In this paper, we review the linkage between work-related psychosocial hazards and adverse effects, their economic burden, and interventions to prevent and control these hazards. We identify six crucial societal actions: (1) increase awareness of this critical issue through a comprehensive public campaign; (2) increase etiologic, intervention, and implementation research; (3) initiate or augment surveillance efforts; (4) increase translation of research findings into guidance for employers and workers; (5) increase the number and diversity of professionals skilled in preventing and addressing psychosocial hazards; and (6) develop a national regulatory or consensus standard to prevent and control work-related psychosocial hazards.

Considerations for Incorporating "Well-Being" in Public Policy for Workers and Workplaces.

Action to address workforce functioning and productivity requires a broader approach than the traditional scope of occupational safety and health. Focus on "well-being" may be one way to develop a more encompassing objective. Well-being is widely cited in public policy pronouncements, but often as ". . . and well-being" (e.g., health and well-being). It is generally not defined in policy and rarely operationalized for functional use. Many definitions of well-being exist in the occupational realm. Generally, it is a synonym for health and a summative term to describe a flourishing worker who benefits from a safe, supportive workplace, engages in satisfying work, and enjoys a fulfilling work life. We identified issues for considering well-being in public policy related to workers and the workplace.

The OCCHLTH Mnemonic-Construction and Content of a Tool for Increasing Awareness of Occupational Illness and Injury.

INTRODUCTION: Unidentified or nonmitigated occupational illnesses and injuries can complicate disease management. The "occupational health" (OCCHLTH) mnemonic aims to raise awareness of work-related exposures and associated illnesses and injuries. METHODS: Occupational safety and health history-taking elements were combined with peer-reviewed information [from the PubMed database (first review January 1, 2000, to February 8, 2016; updated to February 8, 2021)] about workplace exposure-outcome associations to create the mnemonic. RESULTS: Seven components constitute the OCCHLTH mnemonic. Literature results support its categories and subcategories. Three components represent symptom onset and health conditions. Four represent occupational exposures. Evaluating published occupational illness cases explored mnemonic applicability. CONCLUSIONS: Awareness of occupational risk factors can affect clinical decision-making. The OCCHLTH mnemonic encourages consideration of occupational causes of illness and injury to optimize patient care. Further evaluation of the utility of the OCCHLTH mnemonic is needed.

Interaction of occupational and personal risk factors in workforce health and safety.

Most diseases, injuries, and other health conditions experienced by working people are multifactorial, especially as the workforce ages. Evidence supporting the role of work and personal risk factors in the health of working people is frequently underused in developing interventions. Achieving a longer, healthy working life requires a comprehensive preventive approach. To help develop such an approach, we evaluated the influence of both occupational and personal risk factors on workforce health. We present 32 examples illustrating 4 combinatorial models of occupational hazards and personal risk factors (genetics, age, gender, chronic disease, obesity, smoking, alcohol use, prescription drug use). Models that address occupational and personal risk factors and their interactions can improve our understanding of health hazards and guide research and interventions.

Requirement of catalytically active Tyk2 and accessory signals for the induction of TRAIL mRNA by IFN-beta.

Tumor necrosis factor (TNF)-related apoptosis-inducing ligand/Apo2 ligand (TRAIL/Apo2L) mRNA was induced preferentially by interferon (IFN)-beta but not IFN-alpha in human fibrosarcoma and primary fibroblast cells. To characterize the signaling components mediating the IFN subtype-specific induction of this gene, we used mutant cell lines lacking individual components involved in signaling by type I IFNs. TRAIL was not induced by IFN-beta in mutant cell lines U2A, U3A, U4A, U5A, and U6A, which lack, respectively, IFN regulatory factor-9 (IRF-9), Stat1, Jak1, IFNAR-2.2, and Stat2, indicating transcription factor IFN-stimulated gene factor 3 (ISGF3) was essential for the induction of this gene. TRAIL was not induced by IFN-beta in U1A (Tyk2 null) or U1A.R930 cells (that express a kinase-deficient point mutant of Tyk2) but was induced in U1A.wt-5 cells (U1A cells expressing wild-type Tyk2), indicating that Tyk2 protein and kinase activity were both required for induction of the gene. Biochemical and genetic analyses revealed the requirement of transcription factor NF-kappa B and phosphoinositide 3-kinase (PI3K) but not extracellular signal-regulated kinase (ERK) for the induction of TRAIL by IFN-beta. Furthermore, the antiproliferative but not antiviral effects of IFN-beta required catalytically active Tyk2, suggesting that expression of genes, such as TRAIL, may play an important role in mediating the biologic effects of IFNs.

Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models.

BACKGROUND: Self-reported low back pain (LBP) has been evaluated in relation to material handling lifting tasks, but little research has focused on relating quantifiable stressors to LBP at the individual level. The National Institute for Occupational Safety and Health (NIOSH) Composite Lifting Index (CLI) has been used to quantify stressors for lifting tasks. A chemical exposure can be readily used as an exposure metric or stressor for chemical risk assessment (RA). Defining and quantifying lifting nonchemical stressors and related adverse responses is more difficult. Stressor-response models appropriate for CLI and LBP associations do not easily fit in common chemical RA modeling techniques (e.g., Benchmark Dose methods), so different approaches were tried. METHODS: This work used prospective data from 138 manufacturing workers to consider the linkage of the occupational stressor of material lifting to LBP. The final model used a Bayesian random threshold approach to estimate the probability of an increase in LBP as a threshold step function. RESULTS: Using maximal and mean CLI values, a significant increase in the probability of LBP for values above 1.5 was found. CONCLUSION: A risk of LBP associated with CLI values > 1.5 existed in this worker population. The relevance for other populations requires further study.

Characterizing the Interrelationships of Prescription Opioid and Benzodiazepine Drugs With Worker Health and Workplace Hazards.

OBJECTIVE: Prescription opioid and benzodiazepine drug use, which has risen significantly, can affect worker health. Exploration of the scientific literature assessed (1) interrelationships of such drug use, occupational risk factors, and illness and injury, and (2) occupational and personal risk factor combinations that can affect their use. METHODS: The scientific literature from 2000 to 2015 was searched to determine any interrelationships. RESULTS: Evidence for eight conceptual models emerged based on the search yield of 133 articles. These models summarize interrelationships among prescription opioid and benzodiazepine use with occupational injury and illness. Factors associated with the use of these drugs included fatigue, impaired cognition, falls, motor vehicle crashes, and the use of multiple providers. CONCLUSION: Prescription opioid and benzodiazepine drugs may be both a personal risk factor for work-related injury and a consequence of workplace exposures.

Mechanistic Hierarchical Gaussian Processes.

The statistics literature on functional data analysis focuses primarily on flexible black-box approaches, which are designed to allow individual curves to have essentially any shape while characterizing variability. Such methods typically cannot incorporate mechanistic information, which is commonly expressed in terms of differential equations. Motivated by studies of muscle activation, we propose a nonparametric Bayesian approach that takes into account mechanistic understanding of muscle physiology. A novel class of hierarchical Gaussian processes is defined that favors curves consistent with differential equations defined on motor, damper, spring systems. A Gibbs sampler is proposed to sample from the posterior distribution and applied to a study of rats exposed to non-injurious muscle activation protocols. Although motivated by muscle force data, a parallel approach can be used to include mechanistic information in broad functional data analysis applications.

Conceptual heuristic models of the interrelationships between obesity and the occupational environment.

OBJECTIVE: Research and interventions targeting the relationship between work, its attendant occupational hazards, and obesity are evolving but merit further consideration in the public health arena. In this discussion paper, conceptual heuristic models are described examining the role of obesity as both a risk factor and health outcome in the occupational setting. METHODS: PubMed was searched using specific criteria from 2000 and onwards for evidence to support conceptual models in which obesity serves as a risk factor for occupational disease or an outcome of occupational exposures. Nine models are presented: four where obesity is a risk factor and five where it is an adverse effect. RESULTS: A broad range of work-related health effects are associated with obesity including musculoskeletal disorders, asthma, liver disease, and cardiovascular disease, among others. Obesity can be associated with occupational hazards such as shift work, sedentary work, job stress, and exposure to some chemicals. CONCLUSION: Identification of combinations of risk factors pertinent to obesity in the occupational environment will provide important guidance for research and prevention.

Use of computer simulation for determining endovascular skill levels in a carotid stenting model.

OBJECTIVES: The purpose of this study was to determine whether performance on a simulator model of carotid artery stenting correlates with previous endovascular experience and to assess the effects of repetition and training. METHODS: Participants were stratified to untrained and advanced skill groups on the basis of number of endovascular procedures previously performed. Baseline performance was assessed by means of a pretest, and participants were randomized to practice and no-practice groups. Practice consisted of a 30-minute to 60-minute proctored session before taking a final test; those in the no-practice group proceeded directly to the final test without this session. Primary outcomes were completion of a standardized protocol and the length of time needed to complete all steps. RESULTS: Twenty-nine subjects (16 untrained, 13 advanced) participated fully in the study. Ninety-two percent of participants in the advanced group successfully completed the pretest, versus 63% in the untrained group (P = .09); mean time to successful completion was 29.9 +/- 4.8 (mean +/- SD) versus 48.0 +/- 9.9 minutes, respectively (P < .001). Subjects who received no practice did not significantly improve their completion times between pretest and final test, whereas those who received practice did (novice, 47.9 +/- 7.0 minutes vs 24.5 +/- 2.9 minutes, P < .001; advanced, 29.6 +/- 3.1 minutes vs 20.2 +/- 4.1 minutes, P < .001). The group without previous training had significantly more time improvement from training than did the advanced group. Exit survey results showed that those who had the opportunity to practice more commonly believed that the simulator increased their endovascular skills and interest in vascular surgery (both P < .01 vs untrained group). CONCLUSIONS: Performance on the carotid stenting simulator correlated with previous endovascular experience. Although both novice and advanced groups improved their time after a 30-minute to 60-minute proctored training session, improvement in the novice group was greater than that in the advanced group, which suggests that novices may benefit disproportionately from this type of training.