https://www.selleckchem.com/products/17-AAG(Geldanamycin).html Of the 55 studies, only 17 (31%) reported checking for any co-occurring policies, although 36 (67%) used at least one approach that helps address policy co-occurrence. The most common approaches were adjusting for measures of co-occurring policies; defining the outcome on subpopulations likely to be affected by the policy of interest (but not other co-occurring policies); and selecting a less-correlated measure of policy exposure. As health research increasingly focuses on policy changes, we must systematically assess policy co-occurrence and apply analytic solutions to strengthen future studies on the health effects of social policies.Racial/ethnic discrimination may contribute to type 2 diabetes mellitus (T2DM) risk, but few studies have prospectively examined this relationship among racially/ethnically diverse populations. We analyzed prospective data from 33,833 eligible Sister Study participants enrolled from 2003 to 2009. In a follow-up questionnaire (2008-2012), participants reported lifetime experiences of everyday and major forms of racial/ethnic discrimination. Self-reported physician diagnoses of T2DM were ascertained until September 2017. Hazard ratios (HRs) and 95% confidence intervals (CI) were estimated using Cox proportional hazard models, overall and stratified by race/ethnicity. Mean age (standard deviation) at enrollment was 54.9 (8.8) years, 90% self-identified as non-Hispanic (NH)-White, 7% NH-Black, and 3% Hispanic/Latina. Over an average of 7 years of follow-up, there were 1,167 incident cases of T2DM. NH-Black women most frequently reported everyday (75%) and major (51%) racial/ethnic discrimination (vs. 4% and 2% [NH-White] and 32% and 16% [Hispanic/Latina]). While everyday discrimination was not associated, experiencing major discrimination was marginally associated with higher T2DM risk overall (HR=1.26 [95% CI0.99-1.61]) after adjustment for sociodemographic characteristics an