19 resultados para Health Sciences, Dentistry|Health Sciences, Nutrition|Health Sciences, Public Health


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In a cross-sectional study design, risk factors for coronary heart disease (CHD) were evaluated in three groups: 66 Afro Caribbeans (FBCA) living in the US for less than 10 years, 62 US-born Afro Caribbean (USBCA) and 61 African American (AA) adults (18–40 years), with equal numbers of males and females in each group. Socio-demographic, dietary, anthropometric and blood pressure data were collected. Fasting blood glucose, blood lipids and high-sensitivity C-reactive protein (hs-CRP) were determined. ^ The USBCA and AA participants compared to the FBCA participants consumed significantly (p < 0.05) more mean total fat (g) (66.3 ± 41.7 and 73.0 ± 47.8 vs. 52.8 ± 32.3), saturated fat (g) (23.1 ± 14.9 and 24.9 ± 15.8 vs. 18.6 ± 11.5), percent energy from fat (%) (33.1 ± 6.5 and 31.4 ± 6.4 vs. 29.3 ± 6.8), fat servings (1.8 ± 1.2 and 1.5 ± 1.0 vs. 1.2 ± 0.9), dietary cholesterol (mg) (220.4 ± 161.9 and 244.1 ± 155.0 vs. 168.8 ± 114.0) and sodium (mg) (2245.2 ± 1238.3 and 2402.6 ± 1359.3 vs. 1838.0 ± 983.4) and less than 2 servings of fruits per day (%) (86.9 and 94.9 vs. 78.5). These differences were more pronounced in males compared to females and remained after correcting for age. Also, the percentages of USBCA and AA participants who were obese (17.1% and 23.0%, respectively) were significantly (p < 0.05) higher compared to FBCA (7.6%) participants. More USBCA and AA than FBCA individuals smoked cigarettes (4.8% and 6.6% vs. 0.0%) and consumed alcoholic beverages (29.0% and 50.8% vs. 24.2%). The mean hs-CRP level of the AA participants (2.2 ± 2.7 mg/L) was significantly (p < 0.01) higher compared to the FBCA (1.1 ± 1.3 mg/L) and USBCA (1.3 ± 1.6 mg/L) participants. ^ The FBCA participants had a better CHD risk profile than the USBCA and AA participants. Focus should be placed on the ethnic and cultural differences in a population to better understand the variations in health indicators among different ethnic groups of the same race. This focus can provide healthcare professionals and policy planners with the opportunity to develop culturally sensitive programs and strategies for the improvement of health outcomes. ^

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The Dahlgren and Whitehead ecological theory provides the framework for a cross-sectional design to compare socio-demographic characteristics, living and working conditions, and lifestyle daily habits as well as cultural and ecological factors among six diabetic multiethnic Black groups in Miami and Abidjan. Approximately 180 Black Americans (African-, Caribbean-, and Haitian-) and 180 Black Africans (Akan, Malinke, and Krou) aged 20 years and older were surveyed. During the preliminary of this study participants' attitudes and behaviors were qualitatively assessed (N=60) and a tool was developed to describe, in the main study (N=360), differences in participants' strength of commitment to diabetes lifestyle self-management. Despite similarities found in terms of age and gender, statistically significant differences were also found within and among groups in terms of living and working conditions, education level, and religion. African American groups were more likely to participate in more diabetes classes than Haitian Americans and Caribbean Americans. However, African Americans were less likely to adhere to daily dietary and weight control regimens. Although, Black African groups reported limited access to equipment, facilities, and financial support they were more likely to follow dietary and weight control recommendations than Black American groups. Overall, African American participants showed the poorest attitudes towards recommended foods, Caribbean American respondents reported the best attitudes and behaviors towards weight control regimens, and the Malinke group had significantly more strength of commitment to successful weight control. Furthermore, Black African groups had significantly more strength of commitment to successful dietary adherence and significantly less support for weight control than Black American groups. ^ Significant differences found within Black groups suggest that understanding each patient's conditions may help healthcare professionals in initiating individualized appropriate counseling before goal setting, and in developing culturally relevant type 2 diabetes management programs. Moreover, significant differences exist in strength of commitment to lifestyle adherence among Black groups in Miami and Abidjan. Cultural, socio-demographic factors and self-management habits may explain differences in participants' outcomes. At the policy level, Black groups should not be approached as a homogenous group and assessment of the vulnerability of each ethnic group may be necessary in the decision-making process.^

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Background A subgroup has emerged within the obese that do not display the typical metabolic disorders associated with obesity and are hypothesized to have lower risk of complications. The purpose of this review was to analyze the literature which has examined the burden of cardiovascular disease (CVD) and all-cause mortality in the metabolically healthy obese (MHO) population. Methods Pubmed, Cochrane Library, and Web of Science were searched from their inception until December 2012. Studies were included which clearly defined the MHO group (using either insulin sensitivity and/or components of metabolic syndrome AND obesity) and its association with either all cause mortality, CVD mortality, incident CVD, and/or subclinical CVD. Results A total of 20 studies were identified; 15 cohort and 5 cross-sectional. Eight studies used the NCEP Adult Treatment Panel III definition of metabolic syndrome to define “metabolically healthy”, while another nine used insulin resistance. Seven studies assessed all-cause mortality, seven assessed CVD mortality, and nine assessed incident CVD. MHO was found to be significantly associated with all-cause mortality in two studies (30%), CVD mortality in one study (14%), and incident CVD in three studies (33%). Of the six studies which examined subclinical disease, four (67%) showed significantly higher mean common carotid artery intima media thickness (CCA-IMT), coronary artery calcium (CAC), or other subclinical CVD markers in the MHO as compared to their MHNW counterparts. Conclusions MHO is an important, emerging phenotype with a CVD risk between healthy, normal weight and unhealthy, obese individuals. Successful work towards a universally accepted definition of MHO would improve (and simplify) future studies and aid inter-study comparisons. Usefulness of a definition inclusive of insulin sensitivity and stricter criteria for metabolic syndrome components as well as the potential addition of markers of fatty liver and inflammation should be explored. Clinicians should be hesitant to reassure patients that the metabolically benign phenotype is safe, as increased risk cardiovascular disease and death have been shown.

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Despite research showing the benefits of glycemic control, it remains suboptimal among adults with diabetes in the United States. Possible reasons include unaddressed risk factors as well as lack of awareness of its immediate and long term consequences. The objectives of this study were to, using cross-sectional data, 1) ascertain the association between suboptimal (Hemoglobin A1c (HbA1c) ≥7%), borderline (HbA1c 7-8.9%), and poor (HbA1c ≥9%) glycemic control and potentially new risk factors (e.g. work characteristics), and 2) assess whether aspects of poor health and well-being such as poor health related quality of life (HRQOL), unemployment, and missed-work are associated with glycemic control; and 3) using prospective data, assess the relationship between mortality risk and glycemic control in US adults with type 2 diabetes. Data from the 1988-1994 and 1999-2004 National Health and Nutrition Examination Surveys were used. HbA1c values were used to create dichotomous glycemic control indicators. Binary logistic regression models were used to assess relationships between risk factors, employment status and glycemic control. Multinomial logistic regression analyses were conducted to assess relationships between glycemic control and HRQOL variables. Zero-inflated Poisson regression models were used to assess relationships between missed work days and glycemic control. Cox-proportional hazard models were used to assess effects of glycemic control on mortality risk. Using STATA software, analyses were weighted to account for complex survey design and non-response. Multivariable models adjusted for socio-demographics, body mass index, among other variables. Results revealed that being a farm worker and working over 40 hours/week were risk factors for suboptimal glycemic control. Having greater days of poor mental was associated with suboptimal, borderline, and poor glycemic control. Having greater days of inactivity was associated with poor glycemic control while having greater days of poor physical health was associated with borderline glycemic control. There were no statistically significant relationships between glycemic control, self-reported general health, employment, and missed work. Finally, having an HbA1c value less than 6.5% was protective against mortality. The findings suggest that work-related factors are important in a person’s ability to reach optimal diabetes management levels. Poor glycemic control appears to have significant detrimental effects on HRQOL.