Emilia F. Vignola

In the construction trades, recruiting and retaining tradeswomen is essential to advancing gender equity and economic mobility among women workers (Moir et al., 2011). As the industry continues to ...

Objective: Tradeswomen face psychosocial hazards, including harassment and discrimination, associated with adverse health. Mentorship has been recommended but not evaluated as a potential solution. Methods: In this randomized controlled trial, women apprentices across the US and Canada were matched with journey‑level tradeswomen trained to provide mentorship in communication, goal setting, and self‑advocacy. Mentees and controls were assessed at baseline, 6 months, and 12 months. Results: Of 267 women assessed for eligibility, 104 (40%) enrolled. Mixed‑effects regression showed no intervention effect on perceived stress, social support, or job satisfaction. Mentees had a 0.4‑point higher perceived stress score (95% CI: 0.09, 0.71) than controls, and the group‑time interaction was not significant. Conclusion: Larger studies with longer follow‑up are needed to clarify mentorship’s impact on tradeswomen’s well‑being and strengthen evidence for supportive interventions.

Precarious employment (PE) is a major determinant of population health and contributor to health and social inequities. The purpose of this article is to synthesize and critically appraise available evidence on labor market initiatives addressing PE identified through a systematic review. Of the 21 initiatives reviewed, grouped into four categories—labor market policies, legislation, and reforms; union strategies; apprenticeships and other youth programs; social protection programs—10 showed consistently positive outcomes and 11 a combination of negative, mixed, or inconclusive outcomes. In addition to reviewing the key findings, we discuss public health implications and recommendations related to PE and the implementation and evaluation of initiatives. Given the wide diversity of initiatives, implementation approaches, evaluation methods, and socioeconomic and historical contexts characterizing the labor markets of the countries studied, we refrain from making recommendations regarding the most effective initiatives to address PE. Instead, we discuss several implications concerning the four types of initiatives to further support those searching for solutions to address PE. We strongly recommend tailoring adopted initiatives to local contexts to match a country's specific PE problems and unique labor market and socioeconomic context.

This article presents synthesized evidence from 16 studies examining initiatives with potential to mitigate workers’ exposure to precarious employment through the adoption of minimum wage policies. All studies were set in low-income countries and focused on both formal and informal workers. A systematic review of evaluated initiatives addressing precarious employment identified the evidence. We consider minimum wage policies as initiatives that could address precarious employment because of the central role of minimum wages in establishing employment terms for workers in precarious situations. We include initiatives aimed at formal and informal workers, given that precarious employment can exist in both sectors, that these workers share concerns regarding income and would benefit from minimum wage policies. The findings imply that minimum wage policies could increase precariously employed workers’ financial compensation, although with some differences and with little or no effect on employment security. It is not feasible to extend these conclusions beyond low-income economies due to differences with high-income economies in how the mechanisms through which minimum wage policies could impact worker compensation and employment security. However, they should serve as a reminder for high-income economies, many of which experience expanding informal sectors, about the need for related research and policy.

While the health of all depends on the food chain, few studies have focused systematically on the health of food chain workers themselves (production, manufacturing, wholesale, retail, and commercial and institutional services). In this study we used 2018 and 2019 data from the Behavioral Risk Factor Surveillance System (BRFSS) to examine health-related metrics of food chain workers, combined and by industry sector, compared to non-food chain workers, among 32 U.S. states. Logistic regression indicated U.S. food chain workers had higher prevalences of barriers to health care access, smoking, no physical exercise, and poor self-reported health than all other workers. Patterns were similar among food chain workers in all industry sectors except wholesale. Additionally, commercial food services workers had higher prevalence of poor mental health, while institutional food services workers had higher prevalences of obesity, diabetes, and hypertension than all other workers. We discuss implications of these results for interventions, with specific attention to improving employment conditions. Food chain worker health is critical for food system sustainability and population health equity.

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.

Disease prevention relies on a complex interplay between social context and individual behaviors. Work and the employment conditions that shape it are key domains where this interplay occurs, a reality highlighted by the COVID-19 pandemic. To explore the links between employment quality and social context as drivers of disease prevention, we conducted a multiple case study of food retail and services workers during COVID-19 in two U.S. states – Indiana and Washington – with differing norms and policy landscape. We drew on public health surveillance data, government/NGO documents, and media sources to contextualize in-depth interviews with 26 precariously employed food workers. Analysis consisted of a within-case and a cross-case phase, each drawing on state contextual and interview data. Precariously employed food workers in Indiana and Washington had contrasting expectations of employers, government, and public health that paralleled policies and norms in their respective states. Ultimately, though reasons for it differed, workers in both states made choices about preventive behaviors in an individualized way that was shaped by their employment circumstances. Explicit consideration of employment and the social safety net in public health would better prepare us for the next crisis and ameliorate health inequities under ordinary circumstances.

Algorithms are increasingly used instead of humans to perform core management functions, yet public health research on the implications of this phenomenon for worker health and well-being has not kept pace with these changing work arrangements. Algorithmic management has the potential to influence several dimensions of job quality with known links to worker health, including workload, income security, task significance, schedule stability, socioemotional rewards, interpersonal relations, decision authority, and organizational trust. To describe the ways algorithmic management may influence workers’ health, this review summarizes available literature from public health, sociology, management science, and human-computer interaction studies, highlighting the dimensions of job quality associated with work stress and occupational safety. We focus on the example of work for platform-based food and grocery delivery companies; these businesses are growing rapidly worldwide and their effects on workers and policies to address those effects have received significant attention. We conclude with a discussion of research challenges and needs, with the goal of understanding and addressing the effects of this increasingly used technology on worker health and health equity.