35 research outputs found

    Racial/Ethnic Differences in Multiple Self-Care Behaviors in Adults with Diabetes

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    OBJECTIVE: To assess racial/ethnic differences in multiple diabetes self-care behaviors. DESIGN: Cross-sectional study. PARTICIPANTS: 21,459 participants with diabetes in the 2003 Behavioral Risk Factor Surveillance survey. MEASUREMENTS: The study assessed self-care behaviors including physical activity, fruits/vegetables consumption, glucose testing, and foot examination, as well as a composite of the 4 self-care behaviors across racial/ethnic groups. Multiple logistic regression was used to assess the independent association between race/ethnicity, the composite variable, and each self-care behavior controlling for covariates. STATA was used for statistical analysis. RESULTS: Overall, 6% engaged in all 4 self-care behaviors, with a range of 5% in non-insulin users to 8% in insulin users. Blacks were less likely to exercise (OR 0.63, 95% CI 0.51, 0.79), while Hispanics and “others” were not significantly different from whites. Hispanics (OR 0.64, 95% CI 0.49, 0.82) and others (OR 0.69, 95% CI 0.49, 0.96) were less likely to do home glucose testing, while blacks were not significantly different from whites. Blacks (OR 1.42, 95% CI 1.12, 1.80) were more likely to do home foot examinations, while Hispanics and others were not significantly different from whites. Blacks (OR 0.56, 95% CI 0.36, 0.87) were less likely to engage in all 4 behaviors, while Hispanics and others were not significantly different from whites. There were no significant racial/ethnic differences in fruit and vegetable consumption. CONCLUSIONS: Few patients engage in multiple self-care behaviors at recommended levels, and there are significant racial/ethnic differences in physical activity, dietary, and foot care behaviors among adults with diabetes

    Measuring Emotional Intelligence Enhances the Psychological Evaluation of Chronic Pain

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    The assessment of emotional factors, in addition to other psychosocial factors, has been recommended as a means of identifying individuals with chronic pain who may not respond to certain pain treatments. Systematic reviews of the evidence regarding the prediction of responsiveness to a treatment called the spinal cord stimulator (SCS) have yielded inconclusive results. Emotional intelligence is a term which refers to the ability to identify and manage emotions in oneself and others and has been shown to be inversely associated with emotional distress and acute pain. This study aims to investigate the relationship between emotional intelligence, chronic pain, and the more established psychosocial factors usually used for SCS evaluations by clinical psychologists in medical settings. A sample of 112 patients with chronic pain on an acute hospital waiting list for SCS procedures in a pain medicine service were recruited. Psychological measures were completed including: a novel measure of emotional intelligence; usual measures of emotional distress and catastrophizing; and a numerical rating scale designed to assess pain intensity, pain-related distress, and interference. As predicted, findings revealed significant associations between most of the measures analyzed and current pain intensity. When entered into a simultaneous regression analysis, emotional intelligence scores remained the only significant predictor of current pain intensity. There are potential clinical, ethical, and organizational implications of emotional intelligence processes partially predicting pain in patients on a waiting list for a medical procedure. These results may offer new insight, understanding, and evaluation targets for clinical psychologists in the field of pain management

    Alcohol intake and invasive breast cancer risk by molecular subtype and race in the Carolina Breast Cancer Study

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    PURPOSE: Alcohol is an established breast cancer risk factor, but there is little evidence on whether the association differs between African Americans and whites. METHODS: Invasive breast cancers (n=1,795; 1,014 white, 781 African American) and age- and race-matched controls (n= 1,558; 844 white, 714 African American) from the Carolina Breast Cancer Study (Phases I–II) were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for pre-diagnosis drinks per week and breast cancer risk. RESULTS: African American controls reported lower alcohol intake than white controls across all age groups. Light drinking (0-≀2 per week) was more prevalent among African American controls. Moderate to heavy drinking was more prevalent in white controls. African Americans who reported drinking >7 drinks per week had an elevated risk compared to light drinkers [adjusted OR, 95% CI: 1.62 (1.03–2.54)]. A weaker association was observed among whites [adjusted OR, 95% CI: 1.20 (0.87–1.67)]. The association of >7 drinks per week with estrogen receptor negative [adjusted OR, 95% CI: 2.17 (1.25–3.75)] and triple negative [adjusted OR, 95% CI: 2.12 (1.12–4.04)] breast cancers was significant for African American, but not white women. We observed significantly elevated ORs for heavy intake at ages less than 25 and greater than 50 years of age for African American women only. We found no evidence of statistical interaction between alcohol intake with oral contraceptive use or smoking. CONCLUSIONS: Drinking more than 7 alcoholic beverages per week increased invasive breast cancer risk among white and African American women, with significant increases only among African American women. Genetic or environmental factors that differ by race may mediate the alcohol-breast cancer risk association
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