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1.
J Gen Intern Med ; 22(6): 768-74, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17364243

ABSTRACT

BACKGROUND: African Americans have higher rates of hypertension and worse blood pressure (BP) control than Whites, and poorer medication adherence may contribute to this phenomenon. We explored associations among patients' race, self-reported experiences with clinicians, attitudes and beliefs about hypertension, and ultimately, medication adherence, among a sample with no racial disparities in BP control, to determine what lessons we could learn from patients and providers in this setting. METHODS: We recruited 793 White and African-American (58%) patients previously diagnosed with hypertension from 3 VA medical centers to participate in survey assessments of each of the above dimensions, subsequent to a primary care clinic visit. RESULTS: African-American patients' providers were significantly more active in advising and counseling about hypertension care and medication adherence. African-American patients indicated greater knowledge or heightened awareness of the importance of controlling their BP, but there were no race differences on a summary adherence measure. In multivariate models modeling medication adherence, race was not significant, but having been told to split one's pills, believing one's BP continues to be high, and having one's provider discuss things to do to make it easier to take BP medications were each significantly associated with worse adherence, whereas having more confidence in one's ability to take BP medications as prescribed was associated with better adherence (all p's < or = .02). CONCLUSION: When both physicians and patients take BP management seriously, disparities in BP adherence and control may be reduced.


Subject(s)
Health Knowledge, Attitudes, Practice , Hypertension/ethnology , Patient Compliance , Physician-Patient Relations , Black or African American , Aged , Antihypertensive Agents/therapeutic use , Attitude to Health , Communication , Humans , Hypertension/drug therapy , Middle Aged , Primary Health Care , White People
2.
J Am Diet Assoc ; 105(11): 1723-34, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16256756

ABSTRACT

OBJECTIVE: To identify the dietary patterns of adult men and examine their relationships with nutrient intake and chronic disease risk over long-term follow-up. DESIGN/SUBJECTS: Baseline 145-item food frequency questionnaires from 1,666 Framingham Offspring-Spouse cohort men were used to identify comprehensive dietary patterns. Independent 3-day dietary records at baseline and 8 years later provided estimates of subjects' nutrient intake by dietary pattern. Chronic disease risk factor status was compared at baseline and 16-year follow-up across all male dietary patterns. STATISTICAL ANALYSES: Cluster analysis was applied to food frequency data to identify non-overlapping male dietary patterns. Analysis of covariance and logistic regression were used to compare nutrient intake, summary nutritional risk scores, and chronic disease risk status at baseline and follow-up by male dietary pattern. RESULTS: Five distinct and comprehensive dietary patterns of Framingham Offspring-Spouse men were identified and ordered according to overall nutritional risk: Transition to Heart Healthy, Higher Starch, Average Male, Lower Variety, and Empty Calories. Nutritional risk was high and varied by dietary pattern; key nutrient contrasts were stable over 8-year follow-up. Chronic disease risk also varied by dietary pattern and specific subgroup differences persisted over 16 years, notably rates of overweight/obesity and smoking. CONCLUSIONS: Quantitative cluster analysis applied to food frequency questionnaire data identified five distinct, comprehensive, and stable dietary patterns of adult Framingham Offspring-Spouse cohort men. The close associations between the dietary patterns, nutritional risk, and chronic disease profiles of men emphasize the importance of targeted preventive nutrition interventions to promote health in the male population.


Subject(s)
Chronic Disease/epidemiology , Eating , Feeding Behavior , Obesity/epidemiology , Adolescent , Adult , Aged , Alcohol Drinking/adverse effects , Analysis of Variance , Cluster Analysis , Cohort Studies , Diet Records , Follow-Up Studies , Humans , Logistic Models , Longitudinal Studies , Male , Middle Aged , Nutritive Value , Obesity/complications , Obesity/etiology , Obesity/prevention & control , Odds Ratio , Predictive Value of Tests , Risk Factors , Smoking/adverse effects , Surveys and Questionnaires
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