A Price Too High: Injury and Assault among Delivery Gig Workers in New York City.

The occupational health burden and mechanisms that link gig work to health are understudied. We described injury and assault prevalence among food delivery gig workers in New York City (NYC) and assessed the effect of job dependence on injury and assault through work-related mechanisms and across transportation modes (electric bike and moped versus car). Data were collected through a 2022 survey commissioned by the NYC Department of Consumer and Worker Protection among delivery gig workers between October and December 2021 in NYC. We used modified Poisson regression models to estimate the adjusted prevalence rate ratio associations between job dependence and injury and assault. Of 1650 respondents, 66.9% reported that food delivery gig work was their main or only job (i.e., fully dependent). About 21.9% and 20.8% of respondents reported being injured and assaulted, respectively. Injury and assault were more than twice as prevalent among two-wheeled drivers, in comparison to car users. Fully dependent respondents had a 1.61 (95% confidence interval (CI) 1.20, 2.16) and a 1.36 (95% CI 1.03, 1.80) times greater prevalence of injury and assault, respectively, than partially dependent respondents after adjusting for age, sex, race and ethnicity, language, employment length, transportation mode, and weekly work hours. These findings suggest that fully dependent food delivery gig workers, especially two-wheeled riders, are highly vulnerable to the negative consequences of working conditions under algorithmic management by the platforms. Improvements to food delivery gig worker health and safety are urgently needed, and company narratives surrounding worker autonomy and flexibility need to be revisited.

Why presumptions are important in occupational health: The example of COVID-19 infection as an occupational disease.

Workers who become ill or injured on the job while undertaking extraordinary risks on behalf of the public are, at times, granted facilitated access to workers' compensation (WC) benefits through the application of presumptions in the compensation process. Since the beginning of the coronavirus disease 2019 (COVID-19) pandemic, a broad range of occupational groups faced an elevated risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure at work to perform vital services to maintain our food supply, sustain needed transportation, provide health care, assure energy supply and others. Some states or jurisdictions in the United States recognized both the risk and the service of these workers by enacting COVID-19 presumption laws to streamline selected essential workers' eligibility for WC benefits. Other states did not. Results of these contrasting public approaches permit an examination of the impact of presumptions in compensation by examining the frequency and outcomes of COVID-19 claims in "COVID-19 presumption" and "nonpresumption" states. Despite state-level variations in economic response to the pandemic, industry mix, and presumption eligibility criteria, the use of COVID-19 presumptions appears to have substantially increased claim filing rates and improved access to benefits. Lastly, the additional costs of COVID-19 claims to employers and insurers were lower than initially predicted. In response to future airborne infectious disease outbreaks, workers' compensation presumption laws should be universally implemented to permit a broad range of high-risk workers to work on the public's behalf without fear of losing wages and incurring medical expenses associated with a work-related viral exposure.

COVID-19 in the workplace: Self-reported source of exposure and availability of personal protective equipment by industry and occupation in Michigan.

OBJECTIVES: Fragmented industry and occupation surveillance data throughout the COVID-19 pandemic has left public health practitioners and organizations with an insufficient understanding of high-risk worker groups and the role of work in SARS-CoV-2 transmission. METHODS: We drew sequential probability samples of noninstitutionalized adults (18+) in the Michigan Disease Surveillance System with COVID-19 onset before November 16, 2020 (N = 237,468). Among the 6000 selected, 1839 completed a survey between June 23, 2020, and April 23, 2021. We compared in-person work status, source of self-reported SARS-CoV-2 exposure, and availability of adequate personal protective equipment (PPE) by industry and occupation using weighted descriptive statistics and Rao-Scott χ2 tests. We identified industries with a disproportionate share of COVID-19 infections by comparing our sample with the total share of employment by industry in Michigan using 2020 data from the US Bureau of Labor Statistics. RESULTS: Employed respondents (n = 1244) were predominantly female (53.1%), aged 44 and under (54.4%), and non-Hispanic White (64.0%). 30.4% of all employed respondents reported work as the source of their SARS-CoV-2 exposure and 78.8% were in-person workers. Work-related exposure was prevalent in Nursing and Residential Care Facilities (65.2%); Justice, Public Order, and Safety Activities (63.3%); and Food Manufacturing (57.5%). By occupation, work-related exposure was highest among Protective Services (57.9%), Healthcare Support (56.5%), and Healthcare Practitioners (51.9%). Food Manufacturing; Nursing and Residential Care; and Justice, Public Order, and Safety Activities were most likely to report having adequate PPE "never" or "rarely" (36.4%, 27.9%, and 26.7%, respectively). CONCLUSIONS: Workplaces were a key source of self-reported SARS-CoV-2 exposure among employed Michigan residents during the first year of the pandemic. To prevent transmission, there is an urgent need in public health surveillance for the collection of industry and occupation data of people infected with COVID-19, as well as for future airborne infectious diseases for which we have little understanding of risk factors.

Opportunities and challenges in reducing personal inhalation exposure to air pollution among electronic waste recovery workers in Ghana.

BACKGROUND: Informal sector electronic waste (e-waste) recovery produces toxic emissions resulting from burning e-waste to recover valuable metals. OBJECTIVES: To identify high-risk worker groups by measuring relative levels of personal inhalation exposure to particulate matter (PM) of fine (≤2.5 µm) and coarse (2.5-10 µm) fractions (PM2.5 and PM2.5-10, respectively) across work activities among e-waste workers, and to assess how wind conditions modify levels of PM by activity and site location. METHODS: At the Agbogbloshie e-waste site, 170 partial-shift PM samples and time-activity data were collected from participants (N = 105) enrolled in the GeoHealth cohort study. Personal sampling included continuous measures of size-specific PM from the worker's breathing zone and time-activity derived from wearable cameras. Linear mixed models were used to estimate changes in personal PM2.5 and PM2.5-10 associated with activities and evaluate effect modification by wind conditions. RESULTS: Mean (±standard deviation) personal PM2.5 and PM2.5-10 concentrations were 80 (± 81) and 123 (± 139) µg m-3 , respectively. The adjusted mean PM2.5 concentration for burning e-waste was 88 µg m-3 , a 28% increase above concentrations during non-recovery activities (such as eating). Transportation-related and burning activities were associated with the highest PM2.5-10 concentrations. Frequent changes in wind direction were associated with higher PM2.5 concentrations when burning, and high wind speeds with higher PM2.5-10 concentrations when dismantling e-waste downwind of the burning zone.

Should the history of epidemiology be taught in epidemiology training programs?

BACKGROUND: Currently, there is no evidence concerning the presence of historical content in the epidemiology curricula of the United States and abroad. Similarly, it is not known how epidemiologists view this topic in the context of master's or doctoral level course work. METHODS: We attempted to fill these knowledge gaps with data from 2 online surveys-Survey I administered to persons in charge of all epidemiology training programs in North America and Survey II to epidemiologists practicing around the world. RESULTS: A substantial minority (39%) of graduate programs in epidemiology in the United States teach a course on the history of the field. In both surveys, the most common reasons selected for teaching such a course were "To build a sense of identity as an epidemiologist" and "As a tool for achieving a deeper understanding into specific methods and concepts." CONCLUSION: The majority of respondents, from 63 countries, agreed that the history of epidemiology should be included in curricula for graduate students in epidemiology.

Cross-shift changes in pulmonary function and occupational exposure to particulate matter among e-waste workers in Ghana.

Introduction: Little is known on the association between cross-shift changes in pulmonary function and personal inhalation exposure to particulate matter (PM) among informal electronic-waste (e-waste) recovery workers who have substantial occupational exposure to airborne pollutants from burning e-waste. Methods: Using a cross-shift design, pre- and post-shift pulmonary function assessments and accompanying personal inhalation exposure to PM (sizes <1, <2.5 µm, and the coarse fraction, 2.5-10 µm in aerodynamic diameter) were measured among e-waste workers (n = 142) at the Agbogbloshie e-waste site and a comparison population (n = 65) in Accra, Ghana during 2017 and 2018. Linear mixed models estimated associations between percent changes in pulmonary function and personal PM. Results: Declines in forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) per hour were not significantly associated with increases in PM (all sizes) among either study population, despite breathing zone concentrations of PM (all sizes) that exceeded health-based guidelines in both populations. E-waste workers who worked "yesterday" did, however, have larger cross-shift declines in FVC [-2.4% (95%CI: -4.04%, -0.81%)] in comparison to those who did not work "yesterday," suggesting a possible role of cumulative exposure. Discussion: Overall, short-term respiratory-related health effects related to PM exposure among e-waste workers were not seen in this sample. Selection bias due to the "healthy worker" effect, short shift duration, and inability to capture a true "pre-shift" pulmonary function test among workers who live at the worksite may explain results and suggest the need to adapt cross-shift studies for informal settings.

Industry-Specific Profile of COVID-19-Related Workers' Compensation Claims in New York State.

OBJECTIVE: This study aimed to characterize the distribution and award status of COVID-19-related workers' compensation (WC) claims in New York State (NYS) for 2020 and 2021. METHODS: Characteristics and filing rates of COVID-19 claims were described by industry, time of illness, and award status. Nursing care facilities' claims were compared with the recorded nursing home staff COVID-19 infections and deaths reported by the Centers for Medicare & Medicaid Services (CMS) during the same period. RESULTS: Of 29,814 COVID-19 claims, 21.9% were awarded benefits, although 86.8% of the claimants worked in essential industries. Of the 46,505 CMS-recorded COVID-19 infections, 1.4% resulted in a claim and 7.2% of the 111 CMS-recorded deaths received death benefits. CONCLUSIONS: The NYS WC program has provided very modest support to essential workers for the likely work-related burden of the pandemic in NYS.

Lack of access to personal protective equipment is associated with severe COVID-19 symptoms among in-person workers.

The use of personal protective equipment (PPE) at work can greatly reduce risk of SARS-CoV-2 transmission. However, it is unclear whether adequate PPE reduces disease severity if transmission occurs. This study investigated associations between workplace access to adequate PPE and self-reported COVID-19 symptom severity among in-person workers. We used data from the Michigan COVID-19 Recovery Surveillance Study (MI CReSS), a population-based survey of Michigan adults with a PCR-confirmed positive SARS-CoV-2 test. The sample was restricted to employed, in-person respondents with COVID-19 onset on or before November 15, 2020 (n = 893). Access to adequate PPE at work was categorized as often/always, sometimes, or rarely/never. Self-reported symptom severity was dichotomized as severe (severe or very severe) or not severe (mild, moderate, or asymptomatic). We used modified Poisson regression to estimate prevalence ratios for the relationship between adequate PPE at work and severe COVID-19 symptoms. We examined effect modification of the relationship by occupation by including a multiplicative interaction term for healthcare worker versus other occupations. After adjusting for sociodemographic and clinical covariates, respondents who rarely/never had access to PPE at work had a 24.7 % higher prevalence of self-reported severe COVID-19 symptoms (PR: 1.25, 95 % CI 1.03-1.51, p-value = 0.024) compared to respondents who often/always had access to PPE at work. Healthcare worker status did not modify the association between access to PPE and symptom severity. The findings from this study suggest an added benefit of PPE in reducing prevalence of severe COVID-19 among all in-person workers.

Personal and work-related factors associated with mental health among auto workers during the COVID-19 pandemic in the United States.

Little is known about the psychological impact of the COVID-19 pandemic on non-healthcare workers, especially among those who weathered unemployment related to shutdowns and supply-chain disruptions. We administered a cross-sectional survey (May - October 2021) to understand patterns between personal and work-related predictors and mental health symptoms among in-person auto workers in the United States (N = 1,165). The Generalized Anxiety Disorder-2 and the Patient Health Questionnaire-2 measured the presence of anxiety and depressive symptoms, respectively. Predictors included the presence of financial/family stressors, fear of SARS-CoV-2 exposure, perceptions of safety climate/culture, and clarity of workplace COVID-19 protocols. We used multinomial logistic regression to examine associations between the predictors and anxiety symptoms alone, depressive symptoms alone, and both anxiety and depressive symptoms compared to no symptoms, adjusting for socio-demographic characteristics, employee type, COVID-19 infection history, and preexisting psychological or psychiatric disorders. Experiencing financial/family stressors (adjusted odds ratio (AOR): 2.65, 95 % CI: 1.86-3.78) and feeling very concerned over SARS-CoV-2 exposure (AOR: 2.12, 95 % CI: 1.47-3.06) increased the odds of having both anxiety and depressive symptoms in comparison to experiencing no stressors, and feeling less than very concerned over exposure, respectively. Positive perceptions of safety climate/culture (AOR = 0.79, 95 % CI: 0.75-0.84) and strong clarity of COVID-19 protocols (AOR = 0.91, 95 %CI: 0.84-0.99) were associated with lower odds of both anxiety and depressive symptoms. These findings highlight the importance of job security and feeling safe at work in affecting the psychological impact of the pandemic on workers. Considerations for COVID-19 prevention in the workplace and mental health should go hand-in-hand.

Occupational exposures to particulate matter and PM2.5-associated polycyclic aromatic hydrocarbons at the Agbogbloshie waste recycling site in Ghana.

Electronic waste (e-waste) disposal and recycling activities such as burning and smelting can emit particulate matter (PM), polycyclic aromatic hydrocarbons (PAHs), and other pollutants that expose workers and nearby communities. At informal e-waste recycling facilities, both emission controls and protective measures for workers are absent. This study characterizes personal exposures (breathing zone) of PM and PAHs of e-waste workers at the large Agbogbloshie e-waste site in Accra, Ghana. We collected gravimetric and optical measurements of PM2.5 and PM10 using shift samples for workers and for an age- and gender-matched reference population. PM2.5 filters were analyzed for 26 PAHs using gas chromatography/mass spectroscopy. Among e-waste workers, PM2.5 and PM10 concentrations were 99 ± 56 and 218 ± 158 µg/m3 (median ± interquartile range, optical measurements), respectively; these levels were 78 and 57% higher, respectively, than levels measured at a fixed site that was centrally located at the waste site. In the reference community, breathing zone PM2.5 and PM10 levels were lower, 49 ± 20 and 131 ± 108 µg/m3, respectively, and the fraction of coarse PM was larger. We detected all 26 target PAHs, of which naphthalene and phenanthrene were the most abundant. PAH concentrations were weakly correlated to PM levels, but PAH abundances, representing the fraction of PAH mass to the total PM2.5 mass collected, were strongly and inversely correlated to PM levels, suggesting multiple and different sources of PAHs and PM that affected exposures. Both PM and PAH levels were elevated for workers performing burning and dismantling, and both exceeded standards or risk-based guidelines, e.g., lifetime excess cancer risks for several PAHs were in the 10-4 to 10-6 range, indicating the need to reduce emissions as well as provide respiratory protection. The study emphasizes the importance of using personal and shift samples to accurately characterize worker exposure.

Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana.

OBJECTIVES: Approximately 2 billion workers globally are employed in informal settings, which are characterized by substantial risk from hazardous exposures and varying job tasks and schedules. Existing methods for identifying occupational hazards must be adapted for unregulated and challenging work environments. We designed and applied a method for objectively deriving time-activity patterns from wearable camera data and matched images with continuous measurements of personal inhalation exposure to size-specific particulate matter (PM) among workers at an informal electronic-waste (e-waste) recovery site. METHODS: One hundred and forty-two workers at the Agbogbloshie e-waste site in Accra, Ghana, wore sampling backpacks equipped with wearable cameras and real-time particle monitors during a total of 171 shifts. Self-reported recall of time-activity (30-min resolution) was collected during the end of shift interviews. Images (N = 35,588) and simultaneously measured PM2.5 were collected each minute and processed to identify activities established through worker interviews, observation, and existing literature. Descriptive statistics were generated for activity types, frequencies, and associated PM2.5 exposures. A kappa statistic measured agreement between self-reported and image-based time-activity data. RESULTS: Based on image-based time-activity patterns, workers primarily dismantled, sorted/loaded, burned, and transported e-waste materials for metal recovery with high variability in activity duration. Image-based and self-reported time-activity data had poor agreement (kappa = 0.17). Most measured exposures (90%) exceeded the World Health Organization (WHO) 24-h ambient PM2.5 target of 25 µg m-3. The average on-site PM2.5 was 81 µg m-3 (SD: 94). PM2.5 levels were highest during burning, sorting/loading and dismantling (203, 89, 83 µg m-3, respectively). PM2.5 exposure during long periods of non-work-related activities also exceeded the WHO standard in 88% of measured data. CONCLUSIONS: In complex, informal work environments, wearable cameras can improve occupational exposure assessments and, in conjunction with monitoring equipment, identify activities associated with high exposures to workplace hazards by providing high-resolution time-activity data.

Post-Traumatic Stress Disorder and Cardiovascular Diseases: A Cohort Study of Men and Women Involved in Cleaning the Debris of the World Trade Center Complex.

BACKGROUND: We sought to determine whether post-traumatic stress disorder (PTSD) is a risk factor for myocardial infarction (MI) and stroke, beyond the expected effects from recognized cardiovascular risk factors and depression. METHODS AND RESULTS: World Trade Center-Heart is an observational prospective cohort study of 6481 blue-collar first responders nested within the World Trade Center Health Program in New York City. Baseline measures in 2012 and 2013 included blood pressure, weight and height, and blood lipids. PTSD, depression, smoking, and dust exposure during the 2001 cleanup were self-reported. During the 4-year follow-up, outcomes were assessed through (1) interview-based incident, nonfatal MI, and stroke, validated in medical charts (n=118); and (2) hospitalizations for MI and stroke for New York city and state residents (n=180). Prevalence of PTSD was 19.9% in men and 25.9% in women, that is, at least twice that of the general population. Cumulative incidence of MI or stroke was consistently larger for men or women with PTSD across follow-up. Adjusted hazard ratios (HRs) were 2.22 (95% confidence interval [CI], 1.30-3.82) for MI and 2.51 (95% CI, 1.39-4.57) for stroke. For pooled MI and stroke, adjusted HRs were 2.35 (95% CI, 1.57-3.52) in all and 1.88 (95% CI, 1.01-3.49) in men free of depression. Using hospitalization registry data, adjusted HRs were 2.17 (95% CI, 1.41-3.32) for MI; 3.01 (95% CI, 1.84-4.93) for stroke; and for pooled MI and stroke, the adjusted HR was 2.40 (95% CI, 1.73-3.34) in all, HR was 2.44 (95% CI, 1.05-5.55) in women, and adjusted HR was 2.27 (95% CI, 1.41-3.67) in men free of depression. World Trade Center dust exposure had no effect. CONCLUSIONS: This cohort study confirms that PTSD is a risk factor for MI and stroke of similar magnitude in men and women, independent of depression.

Cardiovascular disease hospitalizations in relation to exposure to the September 11, 2001 World Trade Center disaster and posttraumatic stress disorder.

BACKGROUND: A cohort study found that 9/11-related environmental exposures and posttraumatic stress disorder increased self-reported cardiovascular disease risk. We attempted to replicate these findings using objectively defined cardiovascular disease hospitalizations in the same cohort. METHODS AND RESULTS: Data for adult World Trade Center Health Registry enrollees residing in New York State on enrollment and no cardiovascular disease history (n = 46,346) were linked to a New York State hospital discharge-reporting system. Follow-up began at Registry enrollment (2003-2004) and ended at the first cerebrovascular or heart disease (HD) hospitalization, death, or December 31, 2010, whichever was earliest. We used proportional hazards models to estimate adjusted hazard ratios (AHRs) for HD (n = 1151) and cerebrovascular disease (n = 284) hospitalization during 302,742 person-years of observation (mean follow-up, 6.5 years per person), accounting for other factors including age, race/ethnicity, smoking, and diabetes. An elevated risk of HD hospitalization was observed among women (AHR 1.32, 95% CI 1.01 to 1.71) but not men (AHR 1.16, 95% CI 0.97 to 1.40) with posttraumatic stress disorder at enrollment. A high overall level of World Trade Center rescue and recovery-related exposure was associated with an elevated HD hospitalization risk in men (AHR 1.82, 95% CI 1.06 to 3.13; P for trend = 0.05), but findings in women were inconclusive (AHR 3.29, 95% CI 0.85 to 12.69; P for trend = 0.09). Similar associations were observed specifically with coronary artery disease hospitalization. Posttraumatic stress disorder increased the cerebrovascular disease hospitalization risk in men but not in women. CONCLUSIONS: 9/11-related exposures and posttraumatic stress disorder appeared to increase the risk of subsequent hospitalization for HD and cerebrovascular disease. This is consistent with findings based on self-reported outcomes.