Comparison Between Musculoskeletal Pain and Gender-Specific, Non-gendered Job-Exposure Matrix and Self-reported Exposures in CONSTANCES.

PURPOSE: Musculoskeletal disorders (MSDs) are common worldwide and gender differences exist in terms of prevalence and disability. MSDs are a leading cause of sick leave and physical work exposures. To assess the association between physical exposures assessed by the gender-specific CONSTANCES Job-Exposure Matrix (JEM) and musculoskeletal pain in six areas: neck pain, shoulder pain, elbow/arm pain, hand/wrist pain, low back pain, knee/leg pain; and to compare the results with those obtained using the non-gendered CONSTANCES JEM and with individual self-report exposures. METHODS: We included 48,736 male and 63,326 female workers from the CONSTANCES cohort (France). The association between 27 physical exposures and musculoskeletal self-reported pain in six body areas was assessed using logistic regression. We conducted the analysis with three types of exposures: (1) individual self-reported exposures; (2) gender-specific CONSTANCES JEM; (3) non-gendered CONSTANCES JEM, and adjusted for age and Body Mass Index (BMI). Analyses were stratified by gender. RESULTS: The associations to the gender-specific and non-gendered JEM were similar. The odds ratios using individual self-reported exposures were comparable to the JEM-based associations, with the exceptions of the exposures 'change tasks', 'rest eyes' and 'reach behind'. In some comparisons, there were differences in the direction and/or significance of effects between genders (regardless of whether the JEM used was gender-specific or not). CONCLUSION: The gender-specific and non-gendered JEMs gave similar results, hence, developing physical work exposures JEMs that are gender-specific may not be essential. However, when predicting musculoskeletal pain, it seems relevant to stratify the analysis by gender.

Comparing physical work exposures between men and women: findings from 65 281 workers in France.

OBJECTIVES: Musculoskeletal disorders (MSDs) are a leading cause of disability and sick leave among workers. Although MSDs are associated with physical exposures, there are gender differences in the prevalence and related disability. This study aimed to compare self-reported physical work exposures by gender for people within the same occupational group. METHODS: We used cross-sectional data from 65 281 asymptomatic workers aged 18-69 years from the CONSTANCES cohort study (France). We compared 27 physical exposures between men and women in the same occupational groups ('Profession et Categorie Sociale' group) using Mann-Whitney U tests. RESULTS: Men and women performing the same job often reported different levels of exposure. 38 of 365 occupational groups had a gender difference in reported exposure for 10 or more of 27 physical exposures, with men reporting higher exposures in 79% of these jobs. Women reported higher exposures in nursing and other healthcare professions. The probability that a random man had an exposure value higher than a random woman varied widely, from 8% to 92%, and was highly dependent on occupational groups and the specific exposure. CONCLUSIONS: Men and women working in the same jobs reported different physical exposures for some jobs and some exposures. Further research should further define and explore these reported differences to improve prevention and research.

Development and evaluation of the gender-specific CONSTANCES job exposure matrix for physical risk factors in France.

OBJECTIVES: This study aimed to construct and evaluate a gender-specific job exposure matrix (JEM) for 27 physical work exposures, based on self-report. METHODS: We constructed a JEM using questionnaire data on current physical exposures from 29 381 male and 35 900 female asymptomatic workers aged 18-69 years in the French CONSTANCES cohort study. We excluded workers with musculoskeletal pain to reduce potential reporting bias. We grouped 27 self-reported physical exposures using the French national job codes and stratified by gender. We compared individual and group-based exposures using the performance indicators Cohen's kappa (κ), sensitivity, specificity, and area under the receiver operating curve (AUC). RESULTS: JEM validation showed fair-to-moderate agreement (κ 0.21-0.60) for most physical exposures for both genders except for 'reach behind' (poor), 'bend neck' (poor), 'finger pinch' (poor), standing' (good), 'use computer screen' (good), and 'use keyboard or scanner' (good). We found the highest AUC for 'standing' (men 0.85/ women 0.87), 'kneel/squat' (men 0.80/women 0.81), 'use computer screen' (men/women 0.81), and 'use keyboard or scanner' (men 0.82/ women 0.84). The AUC was <0.60 for only three exposures: 'bend neck' (men 0.58/women 0.57), 'finger pinch' (men 0.56/ women 0.55), and 'reach behind' (men 0.54/ women 0.51). CONCLUSION: The constructed JEM validation measures were comparable for men and women for all exposures. Further research will examine the predictive ability of this gender-specific JEM for musculoskeletal disorders and the relevance of gender-stratification in this process, knowing accuracy of each exposure.

Occupational demands associated with rotator cuff disease surgery in the UK Biobank.

OBJECTIVES: Physically-demanding occupations may increase rotator cuff disease (RCD) risk and need for surgery. We linked a job-exposure matrix (JEM) to the UK Biobank cohort study to measure physical occupational exposures and estimate associations with RCD surgery. METHODS: Jobs and UK Standard Occupational Classification (SOC) codes were recorded during the UK Biobank verbal interview. Lifetime job histories were captured through a web-based survey. UK SOC codes were linked to a JEM based on the US O*NET database. O*NET-based scores [static strength, dynamic strength, general physical activities, handling/moving objects (range=1-7), time spent using hands, whole body vibration, and cramped/awkward positions (range=1-5)] were assigned to jobs. RCD surgeries were identified through linked national hospital inpatient records. Multivariable Cox regression was used to calculate hazard ratios (HR) as estimates of associations with RCD surgery. Among those with lifetime job histories, associations were estimated for duration of time with greatest exposure (top quartile of exposure). RESULTS: Of 277 808 people reporting jobs, 1997 (0.7%) had an inpatient RCD surgery. After adjusting for age, sex, race, education, area deprivation, and body mass index, all O*NET variables considered were associated with RCD surgery (HR per point increase range=1.10-1.45, all P<0.005). A total of 100 929 people reported lifetime job histories, in which greater exposures were significantly associated with RCD surgery after >10 years of work (eg, HR for 11-20 versus 0 years with static strength score ≥4 = 2.06, 95% confidence interval 1.39-3.04). CONCLUSIONS: Workplace physical demands are an important risk factor for RCD surgery, particularly for workers with more than a decade of exposure.

Impacts of a Workplace-Based Weight-Control Intervention on Objective and Perceived Physical Activity among a Subgroup of Workers.

Physical activity (PA) has many benefits; however, groups facing barriers to health-promoting behaviors are less likely to be physically active. This may be addressed through workplace interventions. The current study employs objective (accelerometry) and perceived (International Physical Activity Questionnaire [IPAQ]) measures of PA among a subset of participants from the "Working for You" study, which tests a multi-level (work group and individual) workplace intervention targeted at workers with low-incomes. Linear mixed and hierarchical logistic regression models are used to determine the intervention's impact on moderate- to vigorous-PA (MVPA) and achieving the PA Guideline for Americans (≥150 minutes MVPA/week), respectively from baseline to 6- and 24-months, relative to a control group. Correlations (Spearman Rho) between perceived and objective PA are assessed. Of the 140 workers (69 control, 71 intervention) in the sub-study, 131 (94%) have valid data at baseline, 88 (63%) at 6-months, and 77 (55%) at 24-months. Changes in MVPA are not significantly different among intervention relative to control participants assessed by accelerometer or IPAQ at 6- or 24-months follow-up. The percent achieving the PA Guideline for Americans does not vary by treatment group by any measure at any time point (e.g., baseline accelerometry: [control: n=37 (57%); intervention: n=35 (53%)]). This study identifies limited agreement (correlation range: 0.04 to 0.42, all p>.05) between perceived and objective measures. Results suggest the intervention did not improve PA among the sub-study participants. Though agreement between objective and perceived MVPA is low, similar conclusions regarding intervention effectiveness are drawn.

Occupational characteristics associated with SARS-CoV-2 infection in the UK Biobank during August-November 2020: a cohort study.

BACKGROUND: Occupational exposures may play a key role in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection risk. We used a job-exposure matrix linked to the UK Biobank to measure occupational characteristics and estimate associations with a positive SARS-CoV-2 test. METHODS: People reporting job titles at their baseline interview in England who were < 65 years of age in 2020 were included. Healthcare workers were excluded because of differential access to testing. Jobs were linked to the US Occupational Information Network (O*NET) job exposure matrix. O*NET-based scores were examined for occupational physical proximity, exposure to diseases/infection, working outdoors exposed to weather, and working outdoors under cover (score range = 1-5). Jobs were classified as remote work using two algorithms. SARS-CoV-2 test results were evaluated between August 5th-November 10th, 2020, when the UK was released from lockdown. Cox regression was used to calculate adjusted hazard ratios (aHRs), accounting for age, sex, race, education, neighborhood deprivation, assessment center, household size, and income. RESULTS: We included 115,451 people with job titles, of whom 1746 tested positive for SARS-CoV-2. A one-point increase in physical proximity score was associated with 1.14 times higher risk of SARS-CoV-2 (95%CI = 1.05-1.24). A one-point increase in the exposure to diseases/infections score was associated with 1.09 times higher risk of SARS-CoV-2 (95%CI = 1.02-1.16). People reporting jobs that could not be done remotely had higher risk of SARS-CoV-2 regardless of the classification algorithm used (aHRs = 1.17 and 1.20). Outdoors work showed an association with SARS-CoV-2 (exposed to weather aHR = 1.06, 95%CI = 1.01-1.11; under cover aHR = 1.08, 95%CI = 1.00-1.17), but these associations were not significant after accounting for whether work could be done remotely. CONCLUSION: People in occupations that were not amenable to remote work, required closer physical proximity, and required more general exposure to diseases/infection had higher risk of a positive SARS-CoV-2 test. These findings provide additional evidence that coronavirus disease 2019 (COVID-19) is an occupational disease, even outside of the healthcare setting, and indicate that strategies for mitigating transmission in in-person work settings will remain important.

Association Between Workplace Absenteeism and Alcohol Use Disorder From the National Survey on Drug Use and Health, 2015-2019.

Importance: Alcohol use disorder (AUD) is common and associated with increased morbidity. The degree to which AUD currently factors into workplace absenteeism needs further characterization in the US. Objective: To examine the association between AUD and workplace absenteeism in a nationally representative sample. Design, Setting, and Participants: This cross-sectional study used data from a nationally representative sample of noninstitutionalized US residents from the 2015-2019 National Survey on Drug Use and Health to examine the association of AUD with workplace absenteeism. Eligible respondents were aged 18 years and older who reported full-time employment. Data were analyzed from March to September 2021. Main Outcomes and Measures: Primary outcomes were markers of workplace absenteeism as defined by the number of days missed from work because of illness or injury and days skipped from work in the last 30 days. Descriptive statistics, prevalence ratios, and logistic regression analyses were performed to assess the association between AUD and absenteeism. Results: A total of 110 701 adults aged 18 years and older reported current full-time employment (58 948 [53.2%] men, 51 753 [46.8%] women; 12 776 [11.5%] Black, 18 096 [16.3%] Hispanic, and 69 506 [62.8%] White respondents). Weighted prevalence of AUD in this sample of working adults was 9.3% (95% CI, 9.0%-9.5%); 6.2% (95% CI, 6.0%-6.4%) of respondents met criteria for mild AUD, 1.9% (95% CI, 1.7%-2.0%) for moderate AUD, and 1.2% (95% CI, 1.1%-1.3%) for severe AUD. Mean days missed from work annually increased in a stepwise fashion with increasing AUD severity (no AUD, 13.0 days; 95% CI, 12.7-13.2 days; mild AUD, 17.7 days; 95% CI, 16.4-19.1 days; moderate AUD, 23.6 days; 95% CI, 21.5-25.7 days; severe AUD, 32.3 days; 95% CI, 27.5-37.0 days). People with AUD represented 9.3% of the full-time workforce and contributed to 14.1% of total reported workplace absences. Conclusions and Relevance: In this cross-sectional study, AUD was disproportionately associated with an increased prevalence of workplace absenteeism, with individuals with AUD contributing over 232 million missed workdays annually. These results provide economic incentive for increased investment in AUD prevention and treatment, both for employers and policy makers.

Occupational risk factors for work disability following carpal tunnel syndrome: a pooled prospective study.

BACKGROUND: Although recent studies have identified important risk factors associated with incident carpal tunnel syndrome (CTS), risk factors associated with its severity have not been well explored. OBJECTIVE: To examine the associations between personal, workplace psychosocial and biomechanical factors and incident work disability among workers with CTS. METHODS: Between 2001 and 2010 five research groups conducted coordinated prospective studies of CTS and related work disability among US workers from various industries. Workers with prevalent or incident CTS (N=372) were followed for up to 6.4 years. Incident work disability was measured as: (1) change in work pace or work quality, (2) lost time or (3) job change following the development of CTS. Psychosocial factors were assessed by questionnaire. Biomechanical exposures were assessed by observation and measurements and included force, repetition, duty cycle and posture. HRs were estimated using Cox models. RESULTS: Disability incidence rates per 100 person-years were 33.2 for changes in work pace or quality, 16.3 for lost time and 20.0 for job change. There was a near doubling of risk for job change among those in the upper tertile of the Hand Activity Level Scale (HR 2.17; 95% CI 1.17 to 4.01), total repetition rate (HR 1.75; 95% CI 1.02 to 3.02), % time spent in all hand exertions (HR 2.20; 95% CI 1.21 to 4.01) and a sixfold increase for high job strain. Sensitivity analyses indicated attenuation due to inclusion of the prevalent CTS cases. CONCLUSION: Personal, biomechanical and psychosocial job factors predicted CTS-related disability. Results suggest that prevention of severe disability requires a reduction of both biomechanical and organisational work stressors.

The relationship between depression, anxiety, and pain interference with therapy referral and utilization among patients with hand conditions.

INTRODUCTION: Patients with upper extremity conditions may also experience symptoms of depression, anxiety, and pain that limit functional recovery. PURPOSE OF THE STUDY: This study examined the impact of mental health and pain symptoms on referral rates to therapy and utilization of therapy services to achieve functional recovery among patients with common hand conditions. STUDY DESIGN: This is a retrospective cohort study of patients from one orthopedic center. METHODS: Data extraction provided demographics, the International Classification of Diseases, 10th revision diagnoses, therapy referral, therapy visit counts, treatment goal attainment, and Patient-Reported Outcomes Measurement Information System (PROMIS) Depression, Anxiety, and Pain Interference scores. The chi-square test, t-test, and logistic regression analyses assessed associations between baseline PROMIS depression, anxiety, and pain interference to therapy referral, the number of therapy visits, and goal attainment. RESULTS: Forty-nine percent (172/351) of patients were referred to hand therapy. There was no relationship between three baseline PROMIS scores based on physician referral (t-test P values .32-.67) and no association between PROMIS scores and therapy utilization or goal attainment (Pearson correlation (r): 0.002 to 0.020, P > .05). Referral to therapy was most strongly associated with having a traumatic condition (P < .01). Patients with high depression, anxiety, and pain interference scores on average required one more therapy visit to achieve treatment goals (average visits: 3.7 vs 3.1; 4.1 vs 2.7; 3.4 vs 2.3, respectively). Fewer patients with high depression scores (50%) achieved their long-term goals than patients with low depression scores (69%, P = .20). CONCLUSIONS: Patients' baseline level of depressive symptoms and anxiety do not predict referrals to hand therapy by orthopedic hand surgeons. There is some indication that patients with increased depressive symptoms, anxiety, and pain interference require more therapy with fewer achieving all goals, suggesting that mental health status may affect response to therapy. Therapists may address mental health needs in treatment plans. Future studies should examine if nonreferred patients with depressive symptoms achieve maximal functional recovery.

Determining occupation for National Violent Death Reporting System records: An evaluation of autocoding programs.

BACKGROUND: Suicide is a leading cause of death for working-age adults. Suicide risk varies across occupations. The National Violent Death Reporting System (NVDRS) collects information about violent deaths occurring in the United States. Occupation can be determined using autocoding programs with NVDRS data. The objective of this analysis is to determine the accuracy of autocoding programs for assigning occupations in the NVDRS. METHODS: Deaths from suicide were identified in NVDRS for individuals age 16 and older from 2010 to 2017. Occupations were assigned after processing job description free text with autocoding programs. Job assigned by autocoding program were compared with the occupation code recorded on the death certificate. RESULTS: Assignment of major occupation group had substantial agreement (Cohen's kappa > 0.7) for the two autocoding programs evaluated. Agreement of assigned code varied across race/ethnicity and occupation type. CONCLUSIONS: Autocoding programs provide an efficient method for identifying the occupation for decedents in NVDRS data. By identifying occupation, circumstances of suicide and rates of suicide can be studied across occupations.

Work Organization Factors Associated with Health and Work Outcomes among Apprentice Construction Workers: Comparison between the Residential and Commercial Sectors.

There are substantial differences in work organization between residential and commercial construction sectors. This paper examined differences in work factors between construction sectors and examined the association between sector and health behaviors, health outcomes, and work outcomes. We surveyed 929 male construction apprentices (44% residential and 56% commercial) and found that residential apprentices reported fewer workplace safety policies, higher frequency of heavy lifting, and greater likelihood of reporting musculoskeletal pain compared to apprentices in commercial work. Residential apprentices reported higher job strain, lower supervisor support, more lost workdays due to pain or injury, and lower productivity related to health than commercial apprentices. Multivariate Poisson regression models controlling for multiple work factors showed that residential construction work, high job strain, heavy lifting, low coworker support, and low supervisor support were each independently associated with one or more work or health outcomes. These findings suggest that interventions should seek to improve coworker and supervisory supportive behaviors, decrease job strain, and reduce organizational stressors, such as mandatory overtime work. Our study shows disparities in health and safety between construction sectors and highlights the need for interventions tailored to the residential sector.

Correction: Work-Related and Personal Factors Associated With Mental Well-Being During the COVID-19 Response: Survey of Health Care and Other Workers.

[This corrects the article DOI: 10.2196/21366.].

Flow-down of safety from general contractors to subcontractors working on commercial construction projects.

Small and medium construction firms have high injury rates but lack resources to establish and maintain effective safety programs. General contractors with exemplary safety programs may serve as intermediaries to support development of smaller firm's safety programs. The purpose of this study was to examine the flow-down influence of general contractors' safety programs on the safety climate and safety behaviors among workers employed by small and medium sized subcontractors. This study collected workers' perception of safety climate and safety behaviors while working on projects with general contractors with exemplary safety programs and other general contractors. We also documented the safety program policies and practices of subcontractors, and recorded the changes in safety policies required from general contractors with exemplary programs. We examined differences in safety program changes between small and medium sized subcontractors. Results showed workers perceived general contractors with exemplary safety programs had stronger safety climates than other general contractors. Smaller subcontractors had less robust safety programs with fewer safety elements than larger subcontractors, and therefore, many of the smaller subcontractors had to adopt more safety policies and practices to work for general contractors than large subcontractors. These findings suggest that general contractors with robust safety programs can serve as intermediaries and influence the development of the safety programs of small sized firms. Future work will need to determine if smaller firms eventually adopt safety policies and practices as part of their permanent safety program.

Relevance of Diagnosed Depression and Antidepressants to PROMIS Depression Scores Among Hand Surgical Patients.

PURPOSE: We aimed to test the utility of screening for depressive symptoms in the hand surgical office focusing on chances of heightened depressive symptoms in patients with no history of diagnosed depression and by quantifying ongoing depressive symptoms among patients diagnosed with depression accounting for antidepressant use. The clinical importance of this study was predicated on the documented negative association between depressive symptoms and hand surgical outcomes. METHODS: This cross-sectional study analyzed 351 patients presenting to a tertiary hand center between April 21, 2016, and November 22, 2017. Adult patients completed self-administered Patient-Reported Outcomes Measurement Information System (PROMIS) Depression computer adaptive tests at registration. Health records were examined for a past medical history of diagnosed depression and whether patients reported current use of prescription antidepressants. Mean PROMIS Depression scores were compared by analysis of variance (groups: no diagnosed depression, depression without medication, depression with medication). Four points represented a clinically relevant difference in PROMIS Depression scores between groups and Depression scores greater than 59.9 were categorized as having heightened depressive symptoms. RESULTS: Sixty-two patients (18%) had been diagnosed with depression. Thirty-four of these patients (55%) reported taking antidepressant medications. The PROMIS Depression scores indicated greater current depressive symptoms among patients with a history of diagnosed depression when not taking antidepressants (11 points worse than unaffected) and also among patients taking antidepressants (7 points worse than unaffected). Heightened depressive symptoms were detected in all groups but were more prevalent among those diagnosed with depression (36% with no medication, 29% with antidepressant medication) compared with unaffected patients (7%). CONCLUSIONS: Depression screening for heightened depressive symptoms identifies 1 in 14 patients without diagnosed depression and 1 in 3 patients diagnosed with depression as having currently heightened depressive symptoms. Hand surgeons can use PROMIS Depression screening in all patients and using this to guide referrals for depression treatment to ameliorate one confounder of hand surgical outcomes. TYPE OF STUDY/LEVEL OF EVIDENCE: Symptom prevalence study II.

Predictors of long-term opioid use and opioid use disorder among construction workers: Analysis of claims data.

BACKGROUND: Construction workers have high rates of work-related musculoskeletal disorders, which lead to frequent opioid use and opioid use disorder (OUD). This paper quantified the incidence of opioid use and OUD among construction workers with and without musculoskeletal disorders. METHODS: We conducted a retrospective study using union health claims from January 2015 to June 2018 from 19,909 construction workers. Claims for diagnoses of chronic musculoskeletal disorders, acute musculoskeletal injuries, musculoskeletal surgery, and other conditions were linked to new opioid prescriptions. We examined the effects of high doses (≥50 morphine mg equivalents per day), large supply (more than 7 days per fill), long-term opioid use (60 or more days supplied within a calendar quarter), and musculoskeletal disorders, on the odds of a future OUD. RESULTS: There were high rates (42.8% per year) of chronic musculoskeletal disorders among workers, of whom 24.1% received new opioid prescriptions and 6.3% received long-term opioid prescriptions per year. Workers receiving opioids for chronic musculoskeletal disorders had the highest odds of future OUD: 4.71 (95% confidence interval 3.09-7.37); workers prescribed long-term opioids in any calendar quarter had a nearly 10-fold odds of developing an OUD. CONCLUSIONS: Among construction workers, opioids initiated for musculoskeletal pain were strongly associated with incident long-term opioid use and OUD. Musculoskeletal pain from physically demanding work is likely one driver of the opioid epidemic in occupations like construction. Prevention of work injuries and alternative pain management are needed for workers at risk for musculoskeletal injuries.

Association between physical limitations and working life exposure to carrying heavy loads assessed using a job-exposure matrix: CONSTANCES cohort.

INTRODUCTION: Decline in physical performance with age varies among workers. We studied the association between lifetime exposure to carrying heavy loads and limitations in climbing stairs. METHODS: We used data from the French CONSTANCES study. A biomechanical Job-Exposure Matrix (JEM) was combined with lifetime job histories to build a cumulative exposure score, and compared with reported limitations in climbing stairs using robust Poisson models, stratified by sex and educational level. RESULTS: Of the 26,255 subjects, 618 men and 1,080 women reported difficulties in climbing stairs; this outcome was associated with cumulative exposure to carrying heavy loads: adjusted PR= 2.17 (1.75-2.73) for men, 1.50 (1.30-1.74) for women. The association was primarily seen among less educated subjects. CONCLUSION: Cumulative work exposure to carrying heavy loads across the working life was associated with physical limitations in climbing stairs among the less educated in both genders.

The association between subcontractor safety management programs and worker perceived safety climate in commercial construction projects.

PROBLEM: Safety management programs (SMPs) are designed to mitigate risk of workplace injuries and create a safe working climate. The purpose of this project was to evaluate the relationship between contractors' SMPs and workers' perceived safety climate and safety behaviors among small and medium-sized construction subcontractors. METHODS: Subcontractor SMP scores on 18 organizational and project-level safety items were coded from subcontractors' written safety programs and interviews. Workers completed surveys to report perceptions of their contractor's safety climate and the safety behaviors of coworkers, crews, and themselves. The associations between SMP scores and safety climate and behavior scales were examined using Spearman correlation and hierarchical linear regression models (HLM). RESULTS: Among 78 subcontractors working on large commercial construction projects, we found striking differences in SMP scores between small, medium, and large subcontractors (p < 0.001), related to a number of specific safety management practices. We observed only weak relationships between SMP scales and safety climate scores reported by 746 workers of these subcontractors (ß = 0.09, p = 0.04 by HLM). We saw no differences in worker reported safety climate and safety behaviors by contractor size. DISCUSSION: SMP only weakly predicted safety climate scales of subcontractors, yet there were large differences in the quality and content of SMPs by size of employers. SUMMARY: Future work should determine the best way to measure safety performance of construction companies and determine the factors that can lead to improved safety performance of construction firms. Practical applications: Our simple assessment of common elements of safety management programs used document review and interviews with knowledgeable representatives. These methods identified specific safety management practices that differed between large and small employers. In order to improve construction safety, it is important to understand how best to measure safety performance in construction companies to gain knowledge for creating safer work environments.

Work-Related and Personal Factors Associated With Mental Well-Being During the COVID-19 Response: Survey of Health Care and Other Workers.

BACKGROUND: The response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has created an unprecedented disruption in work conditions. This study describes the mental health and well-being of workers both with and without clinical exposure to patients with coronavirus disease (COVID-19). OBJECTIVE: The aim of this study is to measure the prevalence of stress, anxiety, depression, work exhaustion, burnout, and decreased well-being among faculty and staff at a university and academic medical center during the SARS-CoV-2 pandemic and describe work-related and personal factors associated with their mental health and well-being. METHODS: All faculty, staff, and postdoctoral fellows of a university, including its medical school, were invited in April 2020 to complete an online questionnaire measuring stress, anxiety, depression, work exhaustion, burnout, and decreased well-being. We examined associations between these outcomes and factors including work in high-risk clinical settings and family/home stressors. RESULTS: There were 5550 respondents (overall response rate of 34.3%). Overall, 34% of faculty and 14% of staff (n=915) were providing clinical care, while 61% of faculty and 77% of staff were working from home. Among all workers, anxiety (prevalence ratio 1.37, 95% CI 1.09-1.73), depression (prevalence ratio 1.28, 95% CI 1.03-1.59), and high work exhaustion (prevalence ratio 1.24, 95% CI 1.13-1.36) were independently associated with community or clinical exposure to COVID-19. Poor family-supportive behaviors by supervisors were also associated with these outcomes (prevalence ratio 1.40, 95% CI 1.21-1.62; prevalence ratio 1.69, 95% CI 1.48-1.92; and prevalence ratio 1.54, 95% CI 1.44-1.64, respectively). Age <40 years and a greater number of family/home stressors were also associated with these poorer outcomes. Among the subset of clinicians, caring for patients with COVID-19 and working in high-risk clinical settings were additional risk factors. CONCLUSIONS: Our findings suggest that the pandemic has had negative effects on the mental health and well-being of both clinical and nonclinical employees. Mitigating exposure to COVID-19 and increasing supervisor support are modifiable risk factors that may protect mental health and well-being for all workers.

Pilot test of an interactive obesity treatment approach among employed adults in a university medical billing office.

BACKGROUND: There is a need for workplace programs promoting healthy eating and activity that reach low-wage employees and are scalable beyond the study site. Interventions designed with dissemination in mind aim to utilize minimal resources and to fit within existing systems. Technology-based interventions have the potential to promote healthy behaviors and to be sustainable as well as scalable. We developed an interactive obesity treatment approach (iOTA), to be delivered by SMS text messaging, and therefore accessible to a broad population. The aim of this pilot study was to evaluate participant engagement with, and acceptability of, this iOTA to promote healthy eating and activity behaviors among low-wage workers with obesity. METHODS: Twenty participants (self-reporting body mass index ≥ 30 kg/m2) of a single workgroup employed by a university medical practice billing office had access to the full intervention and study measures and provided feedback on the experience. Height and weight were measured by trained research staff at baseline. Each participant was offered a quarterly session with a health coach. Measured weight and a self-administered survey, including dietary and activity behaviors, were also collected at baseline, 3, 6, 12, 18, and 24 months. Participant engagement was assessed through responsiveness to iOTA SMS text messages throughout the 24-month pilot. A survey measure was used to assess satisfaction with iOTA at 3 months. Due to the small sample size and pilot nature of the current study, we conducted descriptive analyses. Engagement, weight change, and duration remaining in coaching are presented individually for each study participant. RESULTS: The pilot was originally intended to last 3 months, but nearly all participants requested to continue; we thus continued for 24 months. Most (14/20) participants remained in coaching for 24 months. At the 3-month follow-up, eight (47%) of the remaining 17 participants had lost weight; by 24 months, five (36%) of the remaining 14 participants had lost weight (one had bariatric surgery). Participants reported very high satisfaction. CONCLUSIONS: This pilot provides important preliminary results on acceptability and participant engagement with iOTA, which has significant potential for dissemination and sustainability.

Not just a research method: If used with caution, can job-exposure matrices be a useful tool in the practice of occupational medicine and public health?

The recent editorial by Dr Susan Peters "Although a valuable method in occupational epidemiology, job-exposure matrices are no magic fix" ably describes the strengths and limitations of job-exposure matrix (JEM) approaches in occupational epidemiology research (1). In addition to their use in research, we would like to add that JEM may also be of use in compensation and surveillance efforts in occupational health. JEM could assist the compensation process by supporting the assessment of relevant exposures related to specific health conditions (2). The potential usefulness of a JEM as a decision tool for compensation of work-related musculoskeletal disorders has been examined (3). Because occupational diseases are often under-recognized, another practical application is using a JEM to screen for occupational exposures as part of health surveillance. Use of JEM to screen for asbestos and wood dust exposure in the clinical setting has shown promising results (4-6). By summarizing multiple exposures at a job level (7), JEM may also assist policy-makers in setting priorities for hazards and controls at work, as well as occupational practitioners to target prevention efforts and direct the conduct of more precise exposure measures to particular jobs. Sharing JEM across different countries may be useful in providing estimates of exposures across larger populations to calculate global burden of disease related to occupational exposure. The JEMINI (JEM InterNatIonal) initiative was launched to explore the possibility of developing international JEM that could be used across countries (8). Beginning with physical (biomechanical) exposures, this open group has started homogenizing job coding systems and comparing some available JEM. Estimating differences in the level of exposure between countries will require much more work, without guaranteed success. As Peters mentioned, many limitations exist in the use of JEM. Users of JEM must consider the source of exposure data - expert assessments, data collected from individual workers, or environmental sampling. The coding of occupations is time consuming and can introduce error (9), and more testing of and comparison with automated job coding systems is needed (10). JEM reflect an "average" level of exposure within a job at the expense of individual variation. At population level, JEM can offer a useful estimate of exposures. If used at an individual level in a clinical or compensation setting, JEM cannot replace the professionals involved in exposure assessment but may help them focus their action more effectively on complex situations that require their expertise. In conclusion, these JEM developed for research might also be used as a public health tool, provided that their limitations are properly taken into account. References 1. Peters S. Although a valuable method in occupational epidemiology, job-exposure matrices are no magic fix. Scand J Work Environ Health 2020;46:2314. https://doi.org/10.5271/sjweh.3894 2. Kerbrat J, Descatha A. (The recognition of health consequences of difficult working conditions in France and its evaluation with the use of a job-exposure matrix). Arch Mal Prof Environ. 2018;79:493500. https://doi.org/10.1016/j.admp.2017.12.001 3. Fadel M, Valter R, Quignette A, Descatha A. Usefulness of a job-exposure matrix « MADE ¼ as a decision tool for compensation of work-related musculoskeletal disorders. Eur J Public Health 2019;29:86870. https://doi.org/10.1093/eurpub/cky274 4. Lorentz E, Despreaux T, Quignette A, Chinet T, Descatha A. (Screening of occupational exposure to asbestos and silica by job-exposure matrix among patients with lung cancer and mesothelioma). Rev Mal Respir. 2019;36:108895. https://doi.org/10.1016/j.rmr.2019.08.006 5. Imbernon E, Goldberg M, Spyckerell Y, Steinmetz J, Bonenfant S, Fournier B. (Use of a job-exposure matrix for the screening of occupational exposure to asbestos). Rev Epidemiol Sante Publique 2004;52:717. https://doi.org/10.1016/S0398-7620(04)99018-9 6. Carton M, Bonnaud S, Nachtigal M, Serrano A, Carole C, Bonenfant S, et al. Post-retirement surveillance of workers exposed to asbestos or wood dust: first results of the French national SPIRALE Program. Epidemiol Prev. 2011;35:31523.   7. Guéguen A, Goldberg M, Bonenfant S, Martin JC. Using a representative sample of workers for constructing the SUMEX French general population based job-exposure matrix. Occup Environ Med. 2004;61:58693. https://doi.org/10.1136/oem.2003.010660 8. Descatha A, Evanoff BA, Andersen JH, Fadel M, Ngabirano L, Leclerc A, et al. JEMINI (Job Exposure Matrix InterNatIonal) Initiative: a Utopian Possibility for Helping Occupational Exposure Assessment All Around the World? J Occup Environ Med. 2019;61:e3201. https://doi.org/10.1097/JOM.0000000000001631 9. Petersen SB, Flachs EM, Svendsen SW, Marott JL, Budtz-Jørgensen E, Hansen J, et al. Influence of errors in job codes on job exposure matrix-based exposure assessment in the register-based occupational cohort DOC*X. Scand J Work Environ Health 2020;46:25967. https://doi.org/10.5271/sjweh.3857 10. Buckner-Petty S, Dale AM, Evanoff BA. Efficiency of autocoding programs for converting job descriptors into standard occupational classification (SOC) codes. Am J Ind Med. 2019;62:5968. https://doi.org/10.1002/ajim.22928.