Disparities exist in the U.S. between the health status of African American and Hispanic individuals and the health status of non-Hispanic Caucasian individuals across all age groups. Those minority individuals age 55 and over are more likely to suffer from specific health disparities in areas such as diabetes, heart disease, and cancer than their white majority counterparts. Among the most common chronic disorders experienced within this age group are obesity, type II diabetes and cardiovascular disease, all three of which collectively form what has recently become known as metabolic syndrome. As of 2004, metabolic syndrome is diagnosable once criteria are clinically significant for a variety of different risk factors designated by the World Health Organization. However, like many syndromes these criteria are not stable across individuals, and leaves variability between individuals being diagnosed. It has been seen that each of the above mentioned racial/ethnic groups experience the individual risk factors at disproportionate rates, making it plausible that metabolic syndrome could be experienced in distinctly different ways depending upon racial/ethnic background. Using two nationally representative data sets, it is first largely evident that African American and Hispanic individuals are reaching higher peak rates of diabetes and cardiovascular disease much earlier in age than are non-Hispanic Caucasian individuals. The study goes on to reveals that the metabolic syndrome appears to follow one underlying progressive syndrome that begins with obesity and progresses towards heart disease. Each of the racial/ethnic groups experience significantly different progressions of the syndrome across time. Behavioral analysis found significant differences in health behaviors across the three groups; however a more pervasive lack of initiative in practicing preventive health behaviors is also present. The study achieved a higher understanding of individual differences within metabolic syndrome and insight into how and at what time in the lifespan health services can be most beneficial in providing preventive services to culturally diverse populations.

In the United States there exists a clear and disconcerting racial disparity in the distribution of good health, which can be seen in differential levels of morbidity and mortality affecting blacks and whites. Previous research has examined the role of SES in shaping racial health disparities and recent studies have looked specifically at the effect of education on health to explain the racial disparity in health. Higher levels of education are robustly associated with good overall health for both blacks and whites and this association has been examined over the life-course. This research explores racial differences in the effect of education on health in general as well as over the life-course. Specifically, this paper examines race differences in the effects of education on health over the life-course. Pooled data from the National Health Interview Survey were analyzed using multivariate logistic regression to estimate the effects of race, education and age on health. The results of these analyses indicate that blacks receive lower education returns on their health than whites. The effect of education on health was shown to grow in the beginning of the life-course and diminish at the end of the life course in accordance with the mortality-as-leveler hypothesis. The black white health disparity was shown to grow over the life-course among the highly educated, whereas the disparity was consistent over the life-course for the poorly educated.

Proponents of marriage, both politicians and scholars, emphasize that marriage benefits health and empirical evidence supports the view that the married are healthier than the unmarried. While a significant body of work establishes the link between marital status and health, previous studies do not consider historical trends in this association. The main objective of the present study is to describe whether and how the association between marital status and health has changed over the past three decades in the United States. Given longstanding observations about gender and race differences in family and health processes, the second objective is to consider gender and race variation in marital status/health trends. Third, I consider whether those health trends by marital status can be attributed to change in family income--which is often viewed as an explanatory mechanism between marriage and health. Results based on three decades’ national health survey data show that over the span of the past three decades, the self-rated health of the never-married became more similar to that of the married; in contrast, over this same time span, the self-rated health of the widowed, divorced, and separated worsened over time, relative to the married. Analyses of two additional health measures (i.e. activity limitation and mortality) show that differences in both activity limitation status and general mortality between the married and each of the unmarried groups--including the widowed, divorced, separated and never married--have widened over recent decades. For each measure of health status, I find important gender and race variation in those health trends by marital status and challenge some long-held assumptions about gender, marital status, and health. Moreover, I find little evidence that family income explains those health trends by marital status. Potential explanations and implications of those trends in health and marital status are discussed. / text

Indiana University-Purdue University Indianapolis (IUPUI) / While the majority of chronic pain patients report receiving inadequate care, there is evidence that female and Black patients receive less analgesic medications and treatment for their chronic pain compared to male and White patients, respectively. While treatment disparities have been evidenced in the literature, there is little understanding of provider-factors, such as their decision-making awareness and attitudes, which may contribute to the differences in treatment. This investigation employed quantitative and qualitative procedures to examine the relationship between patient demographics and chronic pain treatment variability, providers’ awareness of these non-medical influences on their decisions, and the extent to which providers’ gender and racial attitudes associate with their treatment decisions. Twenty healthcare trainees made pain treatment decisions (opioid, antidepressant, physical therapy, pain specialty referral) for 16 computer-simulated patients presenting with chronic low back pain; patient sex and race were manipulated across vignettes. Participants then selected among 9 factors, including patient demographics, to indicate which factors influenced their treatment decisions for the simulated patients and completed gender and racial attitude measures. After online study completion, follow-up semi-structured interviews were conducted to discuss the medical/non-medical factors that influence trainees’ clinical treatment decisions. Quantitative analysis indicated that 5%-25% of trainees were actually influenced (p<0.10) by patient sex and race in their treatments, and on the whole, trainees gave higher antidepressant ratings to White than Black patients (p<.05). Fifty-five percent demonstrated concordance, or awareness, between their actual and reported use of patient demographics. Follow-up McNemar’s test indicated trainees were generally aware of the influence of demographics on their decisions. Overall, gender and racial attitudes did not associate with trainees’ treatment decisions, except trainees’ complementary stereotypes about Black individuals were positively associated with their opioid decisions for White patients. During qualitative interviews, aware and unaware trainees discussed similar themes related to sex and racial/ethnic differences in pain presentation and tailoring treatments. We found that (1) a subset of trainees were influenced by patient sex and race when making chronic pain treatment decisions, (2) trainees were generally aware of the influence of patient demographics, and (3) trainees discussed differences in pain presentation based on patients’ sex and ethnic origin. These findings suggest trainees’ are influenced by patient demographics and hold stereotypes about patient populations, which may play a role in their decision-making.