BACKGROUND: It is crucial to consider cultural, religious, and socio-behavioural factors that may influence the acceptability of Minimally Invasive Tissues Sampling (MITS). MITS is being used to understand the causes of child death and conducted in nine countries within Africa and South Asia with the highest child mortality. Progress has been made in the development of laboratory infrastructures and training for physicians to do MITS, but many communities are concerned about the religious acceptability of taking samples from deceased children. This paper explores the acceptability of MITS in a predominantly Muslim community. METHODS: A qualitative study was conducted in Kersa and Harar, in Eastern Ethiopia between April 23, 2018 and April 21, 2019 where high child mortality rates have been recorded. The study involved interviews and focus groups with 76 participants, including mothers, elders, and religious leaders. In addition, observations were conducted at burial ceremonies and in grieving families' homes. Grounded theory framework is used in this article to understand the acceptability of postmortem MITS. RESULTS: We explore cultural, religious, and socio-behavioural barriers and facilitators that may influence the acceptability of minimally invasive tissue sampling. We identify three themes relating to the acceptability of MITS: (1) Perceptions and rituals related to child death (2), Religious acceptance of post-mortem investigation, and (3) Fears and suspicions of organ theft and body mutilation. Most participants hypothetically accepted MITS, but suggested that the procedure consider religious practices. Religious leaders and parents stated that they would accept the procedure if it would help reduce child deaths. Acceptance is inconsistent and differs across time and place. Some villages accepted the procedure swiftly, only to change their views when they became aware of suspicions from other villages about the procedure disfiguring the body. Parents of deceased children were concerned that taking samples from the children's bodies would delay the burial. CONCLUSIONS: Mortality surveillance requires a thorough understanding of the cultural, religious, and sociocultural aspects that may affect the acceptability of MITS. MITS research should be conducted close to communities, involving community members, incorporating religious perspectives, and promoting health outreach campaigns to facilitate sociocultural perceptions of the research activities.

INTRODUCTION: Occupational injuries have been associated with increased suicide mortality, but prior studies have not accounted for pre-injury depression. METHODS: We linked injuries that occurred from 1994 to 2000 in the Washington State workers' compensation system with Social Security Administration data on earnings and mortality through 2018. We estimated the subdistribution hazard ratio (sHR) and 95% confidence interval using competing risks regression of suicide deaths with lost time compared with medical-only injuries separately for men and women, adjusting for age, pre-injury annual earnings, and industry. We further adjusted for pre-injury diagnosis of major depressive disorder by using a quantitative bias analysis (QBA), with the prevalence of this disorder in workers derived from an external health insurance claims data set. RESULTS: Elevated suicide mortality was observed following lost-time injuries compared with medical-only injuries for men (sHR = 1.49, 95% CI [1.14, 1.93]) and women (sHR = 1.30, 95% CI [1.00, 1.69]), adjusting for age, pre-injury earnings, and industry. Adjusted for pre-injury depression using a QBA, elevated suicide risk in men remained statistically significant (median sHR = 1.33, simulation interval [1.18, 1.47]) but not for women. DISCUSSION: Workplace injury requiring time off work appeared to remain influential in increasing suicide risk among men, even after controlling for pre-injury depression. The relationship between mental health before and after occupational injury is complex and studies should better integrate mental health pre-injury. CONCLUSIONS: Though many questions remain on the complex relationship between work, depression, injuries, and suicide, employers should work to prevent injuries and consider implementing mental health programs, which could be helpful in reducing suicide risk.

OBJECTIVES: To estimate the impact of occupational injury and illness on opioid-related mortality while accounting for confounding by preinjury opioid use. METHODS: We employed a retrospective cohort study design using Washington State workers' compensation data for 1994-2000 injuries linked to US Social Security Administration earnings and mortality data and National Death Index (NDI) cause of death data from 1994 to 2018. We categorised injuries as lost-time versus medical-only, where the former involved more than 3 days off work or permanent disability. We determined death status and cause of death from NDI records. We modelled separate Fine and Gray subdistribution hazard ratios (sHRs) and 95% CIs for injured men and women for opioid-related and all drug-related mortality through 2018. We used quantitative bias analysis to account for unmeasured confounding by preinjury opioid use. RESULTS: The hazard of opioid-related mortality was elevated for workers with lost-time relative to medical-only injuries: sHR for men: 1.53, 95% CI 1.41 to 1.66; for women: 1.31, 95% CI 1.16 to 1.48. Accounting for preinjury opioid use, effect sizes were reduced but remained elevated: sHR for men was 1.43, 95% simulation interval (SI) 1.20 to 1.69; for women: 1.27, 95% SI 1.10 to 1.45. CONCLUSIONS: Occupational injuries and illnesses severe enough to require more than 3 days off work are associated with an increase in the hazard of opioid-related mortality. The estimated increase is reduced when we account for preinjury opioid use, but it remains substantial. Reducing work-related injuries and postinjury opioid prescribing and improving employment and income security may decrease opioid-related mortality.

BACKGROUND: Occupation is associated with a large part of daily activities, affecting lifestyle and social status. However, limited research exists on the association between longest-held occupation (LHO) and early mortality. We examine if LHO is associated with mortality risk among US adults 51 years of age and older. METHODS: Using Health and Retirement Study data from 1992 to 2020, we followed 26,758 respondents 51 years of age and older for up to 29 years. We used competing-risks analysis methodology to estimate the risk of mortality. RESULTS: Across the average 20.5 follow-up years, women with LHO in the categories of machine operators (subhazard ratio [SHR]: 1.42), food preparation (SHR: 1.39), handlers and helpers (SHR: 1.35), and sales (SHR: 1.15), were more likely to die earlier than women with the LHO in the professional and technical support occupation, the reference occupation. Men with LHO in the categories of food preparation (SHR: 1.43), machine operators (SHR: 1.36), personal services (SHR: 1.34), handlers and helpers (SHR: 1.32), protective services (SHR: 1.31), clerical (SHR: 1.27), farming and fishing (SHR: 1.26), sales (SHR: 1.23), and precision production (SHR: 1.20) had elevated risks of mortality compared to men whose LHO was in the referent professional and technical support occupation. CONCLUSIONS: Findings from this study provide comprehensive and current evidence that occupation can be one of the risk factors for adverse health outcomes and ultimately for early mortality.

OBJECTIVES: To measure associations between employment precarity and mental health among United States (US) workers. METHODS: This study used data from the US Medical Expenditure Panel Survey for 2008-2021. Multivariable generalized estimating equations were used to measure associations between employment precarity (operationalized as a multi-dimensional exposure) and self-rated mental health after adjusting for relevant confounders. Marginal effects analysis was used to assess potential dose-response relationships between precarity and mental health. RESULTS: Our sample (n = 57,529) was representative of >106 million US workers employed throughout 2008-2021. Compared to those with low levels of employment precarity, those with medium and high levels of precarity had an increased odds of reporting poor/fair mental health (aOR = 1.21; 95% CI = 1.11, 1.32 and 1.51; 95% CI = 1.36, 1.68, respectively). Marginal effects analysis indicated that increasing levels of precarity were associated with an increased probability of reporting poor/fair mental health. CONCLUSIONS: Increasing levels of employment precarity were associated with poor/fair self-rated mental health, findings potentially indicative of a dose-response relationship between the two. These nationally representative findings suggest employment precarity is an important social determinant of mental health. Future research could investigate how best to mitigate the negative effects of precarity on workers' lives and well-being, particularly regarding mental health.

INTRODUCTION: The objective of this study was to explore the association between access to paid sick leave (AtPSL) and self-reported feelings of depression and anxiety in a nationally representative U.S. working population. METHODS: In 2023, this study examined data from the 2019-2020 Longitudinal National Health Interview Survey. A Generalized Linear Latent and Mixed Model (GLLAMM) was used to analyze the longitudinal data. RESULTS: The descriptive analysis of population averages showed that fewer workers with AtPSL reported daily feelings of depression (45%), anxiety (24%), and both depression and anxiety (52%) than workers without AtPSL. According to the GLLAMM analysis, the odds of workers with AtPSL self-reporting feelings of daily depression, anxiety, and both were 48%, 27%, and 51% lower, respectively, than workers without AtPSL. This analysis controlled for different demographic and socio-economic variables. Robustness analysis demonstrated that these associations persisted when the outcome variables were measured in terms of self-reported feelings of weekly depression and anxiety. CONCLUSIONS: The role of mental health in improving overall well-being and the recognition of AtPSL as a social justice issue have reinforced the importance of providing paid sick leave to help protect the mental health status of workers. This study, using a unique longitudinal data set, found that AtPSL was associated with a lower prevalence of self-reported daily or weekly feelings of depression and anxiety.

In 2021, 72.5% of employed adults had paid sick leave. The percentage with sick leave was highest among workers with a bachelor’s degree or higher (83.6%), followed by workers with an associate degree (73.2%). The percentage of sick leave was similar for workers with some college (66.3%) and those with a high school diploma or GED (64.4%). The lowest percentage of sick leave occurred among workers with less than a high school education (48.8%).

COVID-19 continues to take a large toll on the mental health of the not working population, particularly of those who were unable to work. This study, using the Household Pulse Survey, estimated the association between reasons for not working and major depression and anxiety symptoms (MDAS). The lowest MDAS was reported by retirees. Individuals who were unable to work because of transportation problems, layoffs, COVID-19 concerns, and sickness or disability reported the highest MDAS. Mediation analysis showed that the direct and indirect effects of reasons for not working were much higher for those individuals who were unable to work than for individuals who were working or decided not to work.

OBJECTIVES: To measure the impact of lost-time occupational injuries on all-cause mortality in Washington State and, using the same data elements and study design, to determine whether the estimated impact was similar to previous estimates for New Mexico. METHODS: We linked injuries in the Washington workers' compensation system with Social Security Administration data on earnings and mortality. We estimated Cox survival models of mortality for women and men with lost-time compared with medical-only injuries, adjusting for age, pre-injury earnings and industry. We used quantitative bias analysis to account for confounding by pre-injury smoking and obesity. RESULTS: The estimated mortality HR was 1.24 for women (95% CI 1.21 to 1.28) and 1.22 for men (95% CI 1.20 to 1.24). After adjusting for unmeasured pre-injury smoking and obesity, the estimated HR for women was 1.10, 95% simulation interval (SI) 1.00 to 1.21; for men, it was 1.15, 95% SI 1.04 to 1.27. CONCLUSIONS: All-cause mortality for Washington workers with lost-time injuries was higher than for those with medical-only injuries. Estimated HRs for Washington were consistent with those previously estimated for New Mexico, a less populous state with lower median wages and a different workers' compensation insurance mechanism. This suggests that the relationship between workplace injury and long-term mortality may be generalisable to other US states. These findings support greater efforts to enhance safety and to investigate factors that improve postinjury employment opportunities and long-term health. This association should be examined in additional locations, with different study conditions, or using additional data on pre-injury risk factors.

OBJECTIVES: To compare opioid prescription incidence, supply days, and cost associated with occupational injury and other injury-caused conditions. METHODS: We used Medical Expenditure Panel Survey (MEPS) data for 2010-2019. MEPS provides information on medical conditions and associated medical encounters, treatments, and treatment costs, as well as demographic, education, health, working status, income, and insurance coverage information. We used descriptive statistics and logistic and two-part regressions. RESULTS: Controlling for covariates and compared to other injury-caused conditions, occupational injury-caused conditions resulted in 33% higher odds of opioid prescribing, 32.8 more opioid prescription supply days, and $134 higher average cost. CONCLUSION: Occupational injuries were associated with higher opioid incidence and costs, and more opioid supply days. These findings point to the need to focus on making work safer and the role employers may play in supporting worker recovery from injury and opioid use disorders.

A growing literature has pointed out disparities in teleworking among different racial and ethnic (hereafter racial) workers. This study estimated racial disparities in teleworking due to the COVID-19 pandemic and the extent to which these disparities were mediated by four-year college education and occupation in the United States. The data source for this study was the Current Population Survey, May 2020 through July 2021. The results showed that in the reduced model, the odds for Black and Hispanic workers to telework were 35% and 55% lower, respectively, and for Asian workers 44% higher than for White workers, controlling for covariates. When four-year college education and occupation were included as mediator variables in the model, the odds for Black and Hispanic workers to telework were reduced to 7% and 16%, respectively. Overall, disparities in four-year college education and occupation explained 83% and 78% of the variation in the odds of teleworking for Black and Hispanic workers, respectively. Between the mediators, occupation explained more than 60% of the total effect. The results of this study could not rule out the possibility of racial discrimination in teleworking. Ultimately, reducing racial disparities in four-year college education and in different occupations might be a long-term solution for reducing racial disparities in teleworking.

PURPOSE: Recent studies have shown increased all-cause mortality among workers following disabling workplace injury. These studies did not account for 2 potentially important confounders, smoking and obesity. We estimated injury-related mortality accounting for these factors. METHODS: We followed workers receiving New Mexico workers' compensation benefits (1994-2000) through 2013. Using data from the Panel Study of Income Dynamics, we derived the joint distribution of smoking status and obesity for workers with and without lost-time injuries. We conducted a quantitative bias analysis (QBA) to determine the adjusted relationship of injury and mortality. RESULTS: We observed hazard ratios after adjusting for smoking and obesity of 1.13 for women (95% simulation interval (SI) 0.97 to 1.31) and 1.12 for men (95% SI 1.00 to 1.27). The estimated fully adjusted excess hazard was about half the estimates not adjusted for these factors. CONCLUSIONS: Using QBA to adjust for smoking and obesity reduced the estimated mortality hazard from lost-time injuries and widened the simulation interval. The adjusted estimate still showed more than a 10 percent increase for both women and men. The change in estimates reveals the importance of accounting for these confounders. Of course, the results depend on the methods and assumptions used.

INTRODUCTION: Of the 22.8 million coronavirus disease 2019 (COVID-19) cases recorded in the United States as of March 21, 2021 with age information, three-fourths were in the workingage group, indicating the potentially high economic impact of the pandemic. This study estimates the cost of lost work hours associated with the COVID-19 pandemic between March 2020 through February 2021. METHOD: I used a before-and-after analysis of data from the 2017-2021 Current Population Survey to estimate the costs of lost work hours due to economic, workers' own health, and other reasons, from the COVID-19 pandemic. RESULTS: Across March 2020 through February 2021 (a year since the start of the pandemic in the United States), the estimated cost of lost work hours associated with the COVID-19 pandemic among US full-time workers was $138 billion (95% confidence interval [CI]: $73.4 billion-$202.46 billion). Shares of the costs attributed to economic, workers' own health, and other reasons were 33.7%, 13.7%, and 52.6%, respectively. CONCLUSION: The $138 billion cost of lost work hours associated with the COVID-19 pandemic during March 2020 through February 2021 highlights the economic consequences of the pandemic, as well as indicating the potential benefit of public health and safety interventions used to mitigate COVID-19 spread.

BACKGROUND: Nationwide, as of 20 June 2021, COVID-19 has claimed more than 599,000 lives and infected nearly 33 million people. Studies have shown that COVID-19 disproportionately affects some racial and ethnic minority groups. This study examined whether certain racial and ethnic groups were overrepresented in occupations with potentially high COVID-19 exposure risks, relative to their share in the total workforce. The study incorporates white collar workers, who to date have not gotten as much attention in terms of workers safety. METHODS: Using the March and April 2020 Current Population Survey and O*Net data, this study examined whether certain racial and ethnic groups were overrepresented in occupations with potentially high risk of exposure to COVID-19 (exposure to disease and infection at work, inability to maintain physical distancing at work, and inability to work from home) relative to their share in the total workforce. RESULTS: The results showed that Black workers were overrepresented in occupations with high potential risk of exposure to disease and infection at work and inability to maintain physical distancing at work. Hispanic workers were overrepresented in occupations where potential risk of inability to work from home was the highest. CONCLUSION: Occupation can be one of the risk factors for the current disproportionately high COVID-19 infection rates among Black and Hispanic workers. COVID-19-related prevention measures at high risk occupations, including providing adequate personal protective equipment, training, working space, and vaccinations, could help to reduce not only the spread of COVID-19 and infectious diseases but also their disproportionately high impact in certain minority racial and ethnic groups.

OBJECTIVE: Investigate associations between occupational injury to parents and the psychological well-being of their children. METHODS: We used multiple logistic regression to examine effects of occupational injury to parents on measures of psychological well-being among their children using National Health Interview Survey data from 2012 through 2016. RESULTS: Children of injured workers exhibited greater impairment than children of workers who had not sustained injuries for four of five measures of emotional and behavioral functioning that were hypothesized to differentiate these two child groups. A significant group difference was not observed for a sixth behavioral measure that was expected to be insensitive to parent occupational injury. CONCLUSION: Study findings heighten concern over downstream effects of occupational injury and signal need for more expansive investigation of these effects and mitigation strategies among children of injured workers.

OBJECTIVES: We explored the impact of workplace injury on receiving opioid prescriptions from employer-sponsored private group health insurances (GHI) and how long injured workers receive opioid prescriptions after injury. METHODS: We used the difference-in-differences method and MarketScan databases for the years 2013 to 2015. RESULTS: Estimated odds for injured workers relative to non-injured workers to receive opioid prescriptions from the GHI within 60 and 180 days from the index date of injury were 4.9 and 1.5, respectively. In addition, the number of opioid prescriptions received within 60 days of injury was 2.5 times higher. CONCLUSION: Workplace injury could be a risk factor for both short and long-term prescription opioid use. Studies that use only workers' compensation medical claim data likely underestimate the magnitude of the impact of workplace injuries on opioid prescriptions.

OBJECTIVES: We explored the impact of workplace injury on receiving opioid prescriptions from employer-sponsored private group health insurances (GHI) and how long injured workers receive opioid prescriptions after injury. METHODS: We used the difference-in-differences method and MarketScan® databases for the years 2013 to 2015. RESULTS: Estimated odds for injured workers relative to non-injured workers to receive opioid prescriptions from the GHI within 60 and 180 days from the index date of injury were 4.9 and 1.5, respectively. In addition, the number of opioid prescriptions received within 60 days of injury was 2.5 times higher. CONCLUSION: Workplace injury could be a risk factor for both short and long-term prescription opioid use. Studies that use only workers' compensation medical claim data likely underestimate the magnitude of the impact of workplace injuries on opioid prescriptions.

INTRODUCTION: The cost of the Social Security Disability Insurance (DI) program has increased over time though recent reports showed that disability incidence and prevalence rates have started declining. We explored whether occupation was one of the risk factors for the rising number of disabled workers who received DI benefits during 1992-2016. METHODS: We used a cohort of 16 196 Health and Retirement Survey respondents between the age of 51 and 64 years who were followed from their date of entry until they received DI benefits, died, reached full retirement age, or reached the end of the follow-up period (2016). We used the extended stratified Cox proportional hazard model. Because one-third of the respondents in our cohort did not report their longest-held occupation, we used a multiple-imputation method. RESULTS: The hazard of receiving DI benefits was 51%, 78%, 81%, and 85% higher among workers with longest-held occupations in sales, mechanics and repair, protective services, and personal services, respectively than among workers with longest-held occupations in the reference managerial occupation. The hazard of receiving DI benefits was more than double among workers with longest-held occupations in the construction trade and extractors, transportation operation, machine operators, handlers, and food preparation than among workers with the longest-held occupation in the reference managerial occupation. CONCLUSION: Improving the overall working conditions in these occupations would help reduce worker suffering and the number of applicants for DI benefits, thereby reducing the burden of workplace injury and illness on the DI program.

OBJECTIVES: To examine the impact of workplace injury on opioid dependence, abuse and overdose (opioid-related morbidity) and if severity of injury increases the hazard of these health effects. METHODS: We used MarketScan databases to follow injured and propensity score matched non-injured workers, both without prior opioid-related diagnoses. Using a Cox proportional hazard model, we examined the impact of workplace injury on opioid-related morbidity. RESULTS: The hazard of opioid-related morbidity for injured workers was 1.79 times than that of matched non-injured workers (95% CI 1.89 to 3.60). For medical-only and lost-time injured workers, it was respectively 1.54 (95% CI 1.02 to 2.32) and 2.91 (95% CI 1.75 to 4.84) times that of non-injured workers. CONCLUSIONS: Reducing workplace injury or severity of workplace injury, as well as efforts to ensure appropriate opioid prescribing for injured workers, may help to reduce the societal costs of opioid use.

BACKGROUND: Measles was declared eliminated in the United States in 2000, but the risk of outbreaks owing to international importations remains. An outbreak of measles in New York City began when one unvaccinated child returned home from Israel with measles; onset of rash occurred on September 30, 2018, 9 days after the child returned home. METHODS: We investigated suspected cases of measles by conducting interviews, reviewing medical and immunization records, identifying exposed persons, and performing diagnostic testing. Measles-mumps-rubella (MMR) vaccine (given as either MMR or measles-mumps-rubella-varicella vaccine and collectively referred to as MMR vaccine) uptake was monitored with the use of the Citywide Immunization Registry. The total direct cost to the New York City Department of Health and Mental Hygiene was calculated. RESULTS: A total of 649 cases of measles were confirmed, with onsets of rash occurring between September 30, 2018, and July 15, 2019. A majority of the patients (93.4%) were part of the Orthodox Jewish community, and 473 of the patients (72.9%) resided in the Williamsburg area of Brooklyn, New York. The median age was 3 years; 81.2% of the patients were 18 years of age or younger, and 85.8% of the patients with a known vaccination history were unvaccinated. Serious complications included pneumonia (in 37 patients [5.7%]) and hospitalization (in 49 patients [7.6%]); among the patients who were hospitalized, 20 (40.8%) were admitted to an intensive care unit. As a result of efforts to promote vaccination, the percentage of children in Williamsburg who received at least one dose of MMR vaccine increased from 79.5% to 91.1% among children 12 to 59 months of age. As of September 9, 2019, a total of 559 staff members at the Department of Health and Mental Hygiene (7% of the agency) had been involved in the measles response. The cost of the Department of Health and Mental Hygiene response was $8.4 million. CONCLUSIONS: Importation of measles and vaccination delays among young children led to an outbreak of measles in New York City. The outbreak response was resource intensive and caused serious illness, particularly among unvaccinated children.

Information on opioids obtained by workers is important for both health and safety. We examined the prevalence and total expenses of obtaining outpatient opioid prescriptions, along with associated sociodemographic, economic, and work characteristics, in national samples of U.S. workers. We used Medical Expenditure Panel Survey data (2007-2016) along with descriptive and multiple logistic regression. During the study period, an estimated 21 million workers (12.6%) aged 16 years or older obtained one or more outpatient opioid prescriptions, at an expense of $2.81 billion per year. Private health insurance covered half of the total opioid expenses for workers. The prevalence of obtaining opioid prescriptions was higher for women than for men, but men had higher opioid expenses. In addition, the prevalence of obtaining opioid prescriptions was higher for workers who were older; non-Hispanic white; divorced, separated, or widowed; and non-college-educated. There is an inverse relationship between family income and the likelihood of obtaining opioids. Compared to workers with private insurance, workers with public health insurance had higher expenses for opioid prescriptions. Finally, workers in occupations at higher risk for injury and illness - including construction and extraction; farming; service; and production, transportation, and material moving occupations - were more likely to obtain opioid prescriptions.

Strengthening health care facility infection control is crucial to preventing infectious disease transmission. Guidelines to prevent or minimize airborne pathogen spread in outpatient health care facilities exist (1); however, few reports describe practical implementation when engineering controls, such as recommended airborne infection isolation rooms (negative pressure rooms), are unavailable* (2). On September 30, 2018, a person with measles, a highly contagious respiratory illness characterized by fever and rash, that is spread by airborne transmission, was detected in New York City (NYC),† and as of December 10, 42 laboratory or epidemiologically linked cases had been confirmed. By September 3, 2019, with 654 confirmed cases, this measles outbreak had become the largest in the United States since 1992, well before endemic domestic measles transmission was declared eliminated in 2000§,¶ (3,4). Interventions used in 15 outpatient health care facilities to attempt to prevent health care facility exposure from patients with suspected measles were evaluated.

BACKGROUND: Drug overdoses and suicides have been rising since 2000 and are major contributors to a 3-year decline in US life expectancy. Studies suggest that injured workers have elevated rates of depression and opioid use, but no studies have measured excess mortality related to these risks. MATERIALS AND METHODS: We linked New Mexico workers' compensation data for 100 806 workers injured in 1994 through 2000 with Social Security Administration earnings and mortality data through 2013 and National Death Index cause of death data. We then estimated the association between receiving lost-time workers' compensation benefits and mortality hazard ratios (HRs) and 95% confidence intervals (CIs) based on Fine and Gray cause-specific subdistribution hazards for common causes of death and for drug-related, suicide, and alcohol-related mortality. RESULTS: There was almost a 3-fold increase in combined drug-related and suicide mortality hazard among women (HR = 2.63, 95% CI = 1.91-3.64) and a substantial increase among men (HR = 1.42, 95% CI = 1.13-1.79). Circulatory disease mortality hazard was elevated for men (HR = 1.25, 95% CI = 1.05-1.50). CONCLUSION: Workplace injuries severe enough to require more than a week off work may impair workers' long-term health and well-being. Drug-related deaths and suicides may be important contributors to the long-term excess mortality of injured workers. Improved workplace conditions, improved pain treatment, better treatment of substance use disorders, and treatment of postinjury depression may substantially reduce mortality consequent to workplace injuries.

This study examined the association between employees’ perceived job insecurity and employee engagement. Using Gallup-Sharecare Well-Being Index (2008–2014) data, we applied logistic regressions to examine the association between job insecurity and engagement, controlling for covariates. The job insecurity variable was also interacted with the supervisor support variable. We found that perceived job insecurity was associated with reduced engagement and that this may be moderated by supervisor support. This is the first study using nationally representative data to examine the role of supervisor support in mitigating the negative impact of job insecurity on engagement. © 2019, © 2019 Taylor & Francis Group, LLC.

INTRODUCTION: For most Americans, health insurance is obtained through employers. Health insurance coverage can lead to better health outcomes, yet disparities in coverage exist among workers with different sociodemographic and job characteristics. This study compared uninsured rates among workers with different work arrangements. METHODS: Data from the 2010 and 2015 National Health Interview Survey-Occupational Health Supplements were used to capture a representative sample of the U.S. civilian, non-institutionalized population. Associations between work arrangement and lack of health insurance were analyzed, adjusting for covariates. Analyses were performed during 2016-2018. RESULTS: The percentage of workers aged 18-64years without health insurance coverage decreased significantly by 6.8% among workers in all work arrangement categories between 2010 and 2015. However, workers in nonstandard work arrangements were still more likely than standard workers to have no health insurance coverage. In 2015, for workers to have no health insurance the ORs were 4.92 (95% CI=3.91, 6.17) in independent, 2.87 (95% CI=2.00, 4.12) in temporary or contract, and 2.79 (95% CI=0.34, 0.41) in other work arrangements. Standard full-time workers in small establishments and standard part-time workers were also more likely to have no health insurance coverage (OR=2.74, 95% CI=2.27, 3.31, and OR=1.65, 95% CI=1.25, 2.18, respectively). CONCLUSIONS: Important disparities in health insurance coverage among workers with different work arrangements existed in 2010 and persisted in 2015. Further research is needed to monitor coverage trends among workers.

OBJECTIVE: Most U.S. employers are not required to provide paid sick leave (PSL), and there is limited information on the economic return of providing PSL. We estimated potential benefits to employers of PSL in reducing absenteeism related to the spread of influenza-like illness (ILI). METHODS: We used nationally representative data and a negative binomial random effects model to estimate the impact of PSL in reducing overall absence due to illness or injury. We used published data to compute the share of ILI from the total days of absence, ILI transmission rates at workplaces, wages, and other parameters. RESULTS: Providing PSL could have saved employers $0.63 to $1.88 billion in reduced ILI-related absenteeism costs per year during 2007 to 2014 in 2016 dollars. CONCLUSION: These findings might help employers consider PSL as an investment rather than as a cost without any return.

BACKGROUND: We examined the association between parental access to paid sick leave (PPSL) and children's use of preventive care and reduced likelihood of delayed medical care and emergency room (ER) visits. METHODS: We used the child sample of the National Health Interview Survey data (linked to the adult and family samples) from 2011 through 2015 and logistic and negative binomial regression models. RESULTS: Controlling for covariates, the odds of children with PPSL receiving flu vaccination were 12.5% [95%CI: 1.06-1.19] higher and receiving annual medical checkups were 13.2% [95%CI: 1.04-1.23] higher than those of children without PPSL. With PPSL, the odds of children receiving delayed medical care because of time mismatch were 13.3% [95%CI: 0.76-0.98] lower, and being taken to ER were 53.6% [95%CI: 0.27-0.81] lower than those of children without PPSL. PPSL was associated with 11% [95%CI: 0.82-0.97] fewer ER visits per year. CONCLUSION: PPSL may improve children's access and use of healthcare services and reduce the number of ER visits. Am. J. Ind. Med. 9999:XX-XX, 2017.

On August 16, 2015, a case of parotitis in a resident of the Rockaways neighborhood of Queens, New York City (NYC), was reported to the NYC Department of Health and Mental Hygiene (DOHMH) as a suspected mumps case. Subsequent investigations by DOHMH discovered an outbreak of mumps in the Rockaways, with 52 confirmed and probable mumps cases. DOHMH conducted a Facebook advertisement campaign providing information about mumps and the outbreak, which was targeted to Facebook users in the Rockaways neighborhood. The advertisement was shown to 86,111 persons during an approximately 2-week period and provided a timely and inexpensive means of effectively communicating with a large, targeted population.

BACKGROUND: Research has infrequently looked beyond the injured worker when gauging the burden of occupational injury. OBJECTIVES: We explored the relationship between occupational injury and musculoskeletal disorders (MSDs) among family members of injured workers. DATA AND METHODS: We used 2005 and 2006 Truven Health Analytics databases, which contain information on workers' compensation and family healthcare claims. We used descriptive analyses, and negative binomial and two-part models. RESULTS: Family members of severely injured workers had a 15% increase in the total number of MSD outpatient claims and a 34% increase in the mean cost of MSD claims compared to family members of non-severely injured workers within 3 months after injury. Extrapolating cost results to the national level implies that severe occupational injury would be associated with between $29 and $33 million additional cost of family member outpatient MSD claims. CONCLUSION: Occupational injury can impose a formerly unrecognized health burden on family members of injured workers.