Workplace stress is already implicated in cardiovascular risk, but how large that risk truly is remains contested — and the answer has direct consequences for how aggressively occupational health interventions should be pursued. A methodological critique published in the Scandinavian Journal of Work, Environment & Health challenges a recent review's conclusion that job strain's effect on ischemic heart disease (IHD) is, at most, small — arguing that systematic biases in the underlying literature push estimates artificially downward, not upward.

The critique targets a pooled relative risk estimate of 1.14 derived from the demands-control-support model, contending this figure is likely a floor, not a ceiling. Several underestimation mechanisms are identified: nondifferential exposure misclassification in self-reported job strain measures; overadjustment by including cardiometabolic mediators (such as hypertension or dyslipidemia) as covariates rather than as downstream outcomes; and healthy-worker survivor bias, whereby those most affected by strain leave the workforce before events are captured. Notably, the critique adds two underappreciated sources: collapsing active and passive work exposures into a single reference category artificially inflates heterogeneity and dilutes risk contrasts, and sex-stratified follow-up windows may miss a disproportionate share of female IHD events since premenopausal estrogen delays cardiovascular disease onset in women.

This exchange highlights a recurrent tension in occupational epidemiology: job-exposure matrix studies, often treated as a gold standard for reducing self-report bias, may introduce their own attenuation because group-level exposure assignments miss individual variation. The debate is methodologically incremental rather than paradigm-shifting, but its public health stakes are substantial. If the true effect of chronic job strain on IHD is meaningfully larger than 1.14, prevention thresholds for workplace interventions — ergonomic redesign, demand reduction, autonomy enhancement — would need recalibration. The discussion also underscores the importance of sex-disaggregated analyses in cardiovascular occupational research, an area that remains underpowered in most existing cohorts.