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Cohesion is a key contributor to team effectiveness, leading to great interest in understanding how to diagnose, monitor, and enhance it in practice. However, there is great inconsistency in how cohesion is conceptualized and measured, making it difficult to compare findings across studies, and therefore limiting the ability to advance science and practice. To begin addressing these issues, we draw from qualitative and quantitative analyses and extract themes indicating what matters most for effective cohesion measurement. Such themes are presented around six major questions – who, what, when, where, why, and how – as they pertain to each major component of the cohesion measurement process. Emerging approaches to cohesion measurement and corresponding avenues for future research are also discussed.

Although established theoretical models suggest that race differences in physical health are partially explained by exposures to environmental toxins, there is little empirical evidence to support these processes. We build on previous research by formally testing whether black–white differences in self-rated physical health are mediated by the embodiment of environmental toxins.

Using cross-sectional data from the National Health and Nutrition Examination Surveys (2007–2008), we employ ordinary least squares regression to model environmental toxins (from urine specimens) and overall self-rated health as a function of race and ethnicity. We employ the Sobel test of indirect effects to formally assess mediation.

Our results show that non-Hispanic black respondents tend to exhibit higher levels of total toxins, lead, and cadmium in their urine and poorer physical health than non-Hispanic whites, even with adjustments for age, gender, and socioeconomic status (SES). Our mediation analyses suggest that blacks may exhibit poorer physical health than whites because they tend to embody higher levels of cadmium.

Research limitations include cross-sectional data and restricted indicators of SES.

This study contributes to previous work by bridging the fields of social epidemiology and environmental inequality and by formally testing established theoretical models.