Mika Kivimaki initiated the Individual Participant Data (IPD) Meta-Analysis Consortium, which currently has 50 members. The Consortium recently published several research reports on the relationship between job strain (high psychological demands and low decision latitude at work), on the one hand, and cardiovascular disease and its risk factors, on the other hand. Since IPD repre- sents a novel way to conduct epidemiological research collaboration and as some of the findings from the IPD Consortium have been criticized, this commentary aims to address the rationales behind the approach and discuss some of the main criticisms of the Consortium.Researchers must tackle many problems when inter- preting associations between a psychosocial work envi- ronment factor and a health outcome. First of all, work environment factors belong to a "distal" rather than a "proximal" group. In other words, the closer one gets to a biological mechanism relevant for disease development, the more likely it is that a relevant association will be strong. For instance, small samples are needed to establish an individual "brain" factor associated with depression or emotional exhaustion - simply because the brain factor is more or less depression. Factors related to work orga- nization, on the other hand, are more "distal" since there are many factors that influence the relationship between the environment and the body's organs. Accordingly, it is sometimes difficult to obtain sufficient statistical power for the establishment of an undisputable association. For instance, the long "distance" between job strain and the outcome, myocardial infarction (MI), explains why we should expect a weaker association than in the study of "proximal" factors, for instance myocardial metabolism in relation to MI. Nevertheless, on a societal level, job strain is very important since it affects many working people, with a prevalence in the working population (in the IPD Consortium study's operational definition) of around 15%. Accordingly, if an unequivocal association is established, it is of major importance to those respon- sible for work organization and interventions designed to improve working conditions. However, large samples are needed to establish unequivocal proof.Since Karasek introduced his demand-control model (1), there have been many studies of the association between job strain and risk of MI. These studies have become increasingly sophisticated over the years. In addi- tion, there is accumulated indirect evidence from longitu- dinal studies of the relationship between job strain, on the one hand, and blood pressure variations and endocrine, metabolic, and immunological parameters, on the other hand. The results from these studies give us a plausible physiological explanation of the assumed relationship between job strain and MI risk.A reason why this research field has attracted strong attention is that MI is an undisputable illness outcome. The study of MI risk, therefore, serves as a good scientific model for studying the relationship between job strain and adverse health outcomes in general.Establishment of and rationale behind the IPD ConsortiumThere have been divided opinions about the relationship between job strain and risk of MI. The main reason for the controversy has been that, despite the relatively large size of several of the published cohort studies with number of observation years often in the range of 50 000, the statistical power has been too small for an unequivocal establishment of an association. As a result, Mika Kivimaki invited a number researchers, who had included psychosocial job factors in their study protocols and had or had not published results on the relationship between job strain and MI risk, to establish the IPD Consortium. Including unpublished cohorts was important as this provided a possibility to address the problem of publication bias - the tendency of research- ers and journals to publish only positive findings that can lead to inflated associations. …