Evaluating Natural Course Performance in Parametric G-formula: Review of Current Practice and Illustration Based on the United Autoworkers-General Motors Cohort.

The parametric g-formula is a causal inference method that appropriately adjusts for time-varying confounding affected by prior exposure. Like all parametric methods, it assumes correct model specification, usually assessed by comparing the observed outcome with the simulated outcome under no intervention (natural course). However, it is unclear how to evaluate natural course performance and whether other variables should also be considered.

Impact of increasing workforce racial diversity on black-white disparities in cardiovascular disease mortality.

Background: Structural racism's influence on workforce policies and practices presents possible upstream targets for assessing and reducing racial health disparities. This study is the first to examine workforce racial diversity in association with racial disparities in cardiovascular disease (CVD) outcomes.

Methods: This retrospective cohort study of 39 693 hourly autoworkers from three Michigan automobile plants, includes 75 years of follow-up (1941-2015).

Contribution of Involuntary Job Loss to the Burden of Depressive Symptoms Over Two Decades in a National Study of Aging Adults.

Objectives: In recent decades, risk of job loss in America after age 50 has been high, potentially causing significant stress during the period preceding retirement. Yet no study has quantified the burden of clinically relevant depressive symptoms attributable to job loss in this age group over this period or identified the most vulnerable populations.

Methods: Participants aged 50+ in the Health and Retirement Study (recruited 1992-2016) who were employed and scored <5 on the Center for Epidemiologic Studies-Depression 8-item scale (CESD-8) at baseline (N = 18,571) were followed for depressive symptoms until they first had CESD-8 ≥5 or died, or through the 2018 survey.

Diesel exhaust and respiratory dust exposure in miners and chronic obstructive pulmonary disease (COPD) mortality in DEMS II.

Background: Diesel exhaust and respirable dust exposures in the mining industry have not been studied in depth with respect to non-malignant respiratory disease including chronic obstructive pulmonary disease (COPD), with most available evidence coming from other settings.

Objectives: To assess the relationship between occupational diesel exhaust and respirable dust exposures and COPD mortality, while addressing issues of survivor bias in exposed miners.

Methods: The study population consisted of 11,817 male workers from the Diesel Exhaust in Miners Study II, followed from 1947 to 2015, with 279 observed COPD deaths.