Yоu аre intrigued by dаtа that indicate that gender and ethnicity may have an impact оn health оutcomes. You join a group from Johns Hopkins University headed by Dr. Roland Thorpe to further explore this issue. You examine a Baltimore neighborhood that is racially integrated and compare the health of black and white men using in person surveys and repeated blood pressure measurements. You compare your data (EHDIC) with national data (NHIS) and this is in the table below. This is a comparison of odds ratios for various conditions (health outcomes) for black men (being black is the exposure) compared with white men (considered not to be exposed to being black) from data in the National Health Interview Survey (NHIS) and the Thorpe study (EHDIC, examining a racially integrated Baltimore neighborhood). They are asking if being black increases the risk for these conditions. Table 1: Exploring Men’s Health Disparities in Integrated Communities, OR (95% CI) Condition NHIS 2003 (national data) EHDIC (your data) Obesity 1.29 (1.12-1.49) 1.06 (0.70-1.62) Hypertension 1.58 (1.34-1.86) 1.05 (0.70-1.59) Diabetes 1.62 (1.27-2.08) 1.12 (0.57-2.22) Heart Disease 0.71 (0.55-0.91) 0.71 (0.41-1.22 Question: What do the national data (NHIS) indicate about the differences in health outcomes for black as compared with white men? What do the EHDIC data indicate? How did you know? What social determinants are the same for both races in the EHDIC study that may be different in the NHIS data?