760 resultados para type 2 fuzzy logic system


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OBJECTIVE: To evaluate the validity of hemoglobin A1C (A1C) as a diagnostic tool for type 2 diabetes and to determine the most appropriate A1C cutoff point for diagnosis in a sample of Haitian-Americans. SUBJECTS AND METHODS: Subjects (n = 128) were recruited from Miami-Dade and Broward counties, FL. Receiver operating characteristics (ROC) analysis was run in order to measure sensitivity and specificity of A1C for detecting diabetes at different cutoff points. RESULTS: The area under the ROC curve was 0.86 using fasting plasma glucose ≥ 7.0 mmol/L as the gold standard. An A1C cutoff point of 6.26% had sensitivity of 80% and specificity of 74%, whereas an A1C cutoff point of 6.50% (recommended by the American Diabetes Association – ADA) had sensitivity of 73% and specificity of 89%. CONCLUSIONS: A1C is a reliable alternative to fasting plasma glucose in detecting diabetes in this sample of Haitian-Americans. A cutoff point of 6.26% was the optimum value to detect type 2 diabetes.

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Background: Arterial pulse pressure, the difference between systolic and diastolic blood pressure, has been used as an indicator (surrogate measure) of arterial stiffness. High arterial pulse pressure (> 40) has been associated with increased cardiovascular disease and mortality. Several clinical trials have reported that the proportion of calories from carbohydrate has an effect on blood pressure. The primary objective of this study was to assess arterial pulse pressure and its association with carbohydrate quantity and quality (glycemic load) with diabetes status for a Cuban American population. Methods: A single point analysis included 367 participants. There was complete data for 365 (190 with and 175 without type 2 diabetes). The study was conducted in the investigator’s laboratory located in Miami, Florida. Demographic, dietary, anthropometric and laboratory data were collected. Arterial pulse pressure was calculated by the formula systolic minus the diastolic blood pressure. Glycemic load, fructose, sucrose, percent of average daily calories from carbohydrate, fat and protein, grams of fiber and micronutrient intakes were calculated from a validated food frequency questionnaire. Results: The mean arterial pulse pressure was significantly higher in participants with (52.9 ± 12.4) than without (48.6 ± 13.4) type 2 diabetes. The odds of persons with diabetes having high arterial pulse pressure (>40) was 1.85 (95% CI =1.09, 3.13); p=0.023. For persons with type 2 diabetes higher glycemic load was associated with lower arterial pulse pressure. Conclusions: Arterial pulse pressure and diet are modifiable risk factors of cardiovascular disease. Arterial pulse pressure may be associated with carbohydrate intake differently considering diabetes status. Results may be due to individuals with diabetes following dietary recommendations. The findings of this study suggest clinicians take into consideration how medical condition, ethnicity and diet are associated with arterial pulse pressure before developing a medical nutrition therapy plan in collaboration with the client.

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The study examined the associations of anthropometric measures of obesity with high sensitivity C-reactive protein (hs-CRP) levels in Turkish immigrants with type 2 diabetes (T2D) living in the Netherlands. A total of 110 participants, physician-diagnosed with T2D, aged 30 years and older were recruited from multiple sources from The Hague, Netherlands. Serum hs-CRP levels were measured with immunoturbidimetric assay. Glycated hemoglobin (A1C) was determined by high-pressure liquid chromatography. Measures of obesity: body weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were determined. Statistical analysis included descriptive statistics, Pearson’s correlations and multiple linear regressions (MLR) stratified by gender. Hs-CRP was log transformed to achieve normality. Subjects with hs-CRP levels >10 mg/L (n = 17) were excluded from the analysis. Females had a higher BMI (p = 0.007), HC (p < 0.001), and WHtR (p = 0.011) as compared to males. Conversely, males had a higher weight (p = 0.007), and WHR (p < 0.001) than females. MLR showed that after controlling for covariates, log hs-CRP was positively associated with BMI (B = 0.039, SE = 0.019, β = 0.287, p < 0.05), WC (B = 0.025, SE = 0.011, β = 0.332, p < 0.05) and WHtR (B = 4.015, SE = 1.464, β = 0.376, p < 0.01) in females only. Gender-specific associations between obesity measures and hs-CRP level need to be further investigated in the Turkish immigrant population. Hs-CRP assessment may be added as a standard of care for T2D treatment within this population.

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This study examined gender differences in medical advice related to diet and physical activity for obese African American adults (N = 470) with and without diabetes. Data from the 2007-2008 National Health and Nutrition Examination Survey were analyzed using logistic regression analyses. Even after sociodemographic adjustments, men were less likely to report receiving medical advice as compared with women. Both men and women given dietary and physical activity advice were more likely to follow it. Men were less likely to report currently reducing fat or calories, yet men withdiabetes were 5 times more likely to state that they were reducing fat and calories as compared with women with diabetes. Gender- and disease state-specific interventions are needed comparing standard care with enhanced patient education. Moreover, these findings necessitate studies that characterize the role of the health care professional in the diagnosis and treatment of obesity and underscore patient-provider relationships.

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Micronutrient insufficiency, low dietary fiber, and high saturated fat intake have been associated with chronic diseases. Micronutrient insufficiencies may exacerbate poor health outcomes for persons with type 2 diabetes and minority status. We examined dietary intakes using the Recommended Dietary Allowances (RDAs) of micronutrients, and Adequate Intakes (AIs) of fiber, and Dietary Guidelines for Americans (DGA) for saturated fat in Haitian-, African-, and Cuban- Americans (n = 868), approximately half of each group with type 2 diabetes. Insufficient intakes of vitamins D and E and calcium were found in over 40 % of the participants. Over 50 % of African- and Cuban- Americans consumed over 10 % of calories from saturated fat. Haitian-Americans were more likely to have insufficiencies in iron, B-vitamins, and vitamins D and E, and less likely to have inadequate intake of saturated fat as compared to Cuban-Americans. Vitamin D insufficiency was more likely for Haitian-Americans as compared to African- Americans. Diabetes status alone did not predict micronutrient insufficiencies; however, Haitian-Americans with no diabetes were more likely to be insufficient in calcium. Adjusting for age, gender, energy, smoking, physical activity, access to health care, and education negated the majority of micronutrient insufficiency differences by ethnicity. These findings suggest that policies are needed to ensure that low-cost, quality produce can be accessed regardless of neighborhood and socioeconomic status.

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Flavonoids are a class of over 6,500 plant metabolites that have been associated with reduced mortality from cardiovascular disease. A cross-sectional analysis of dietary flavonoids and serum cholesterol in 507 Blacks with and without type 2 diabetes (258 Haitian-Americans and 249 African-Americans) showed differences by ethnicity and diabetes status. Haitian-Americans consumed more of most flavonoids as compared to African-Americans. Individuals with type 2 diabetes consumed less of most flavonoids as compared to those without diabetes. Flavonoids were differentially associated with low-density lipoprotein cholesterol (LDL) and high-density lipoprotein cholesterol (HDL) by diabetes status. Flavanones were associated with lower LDL for participants without diabetes and higher LDL for those with diabetes, independent of ethnicity and adjusted for age, gender, cholesterol medications, daily energy, dietary fat, body mass index (BMI), and smoking. Flavan-3-ols were positively related to LDL while polyflavonoids (theaflavin and polymers, proanthocyanidins) were inversely related to LDL for the group without diabetes only. Higher anthocyanidins and flavan-3-ols and lower polyflavonoids were associated with higher HDL (same adjustments) for those without diabetes, whereas no flavonoids were associated with HDL for individuals with type 2 diabetes.

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BACKGROUND: Cuban Americans have a high prevalence of type 2 diabetes, placing them at risk for cardiovascular disease (CVD) and increased medical costs. Little is known regarding the lifestyle risk factors of CVD among Cuban Americans. This study investigated modifiable CVD risk factors of Cuban Americans with and without type 2 diabetes. METHODS: Sociodemographics, anthropometrics, blood pressure, physical activity, dietary intake, and biochemical parameters were collected and assessed for n=79 and n=80 Cuban Americans with and without type 2 diabetes. RESULTS: Fourteen percent with diabetes and 24 percent without diabetes engaged in the recommended level of physical activity. Over 90 percent had over the recommended intake of saturated fats. Thirty-five percent were former or current smokers. DISCUSSION: Cuban Americans had several lifestyle factors that are likely to increase the risk of CVD. Their dietary factors were associated with blood cholesterol and body weight, which has been shown to impact on medical expenses. These findings may be used for designing programs for the prevention of CVD as well as type 2 diabetes for Cuban Americans.

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Oxidative stress plays a key role in the development of Type 2 Diabetes (T2D). This cross-sectional study examined the relationship among serum levels of manganese superoxide dismutase (MnSOD), 8-hydroxy-2’-deoxyguanosine (8OHdG), dietary antioxidant intakes and glycemic control in African Americans (n=209) and Haitian Americans (n=234) with and without T2D. ^ African Americans had higher BMI (32.8 vs. 29.3 kg/m2), higher energy intake (2148 vs. 1770 kcal), and were more educated as compared to Haitian Americans; all variables were significant at p < .001. Serum levels of 8OHdG and MnSOD for African Americans (1691.0 ± 225.1 pg/ml, 2538.0 ± 1091.8 pg/ml; respectively) were significantly higher than for Haitian Americans (1626.2 ± 222.9, 2015.8 ± 656.3 pg/ml; respectively). 8OHdG was negatively correlated with MnSOD ( r = -.167, p < .001) in T2D. Having T2D was negatively correlated with MnSOD (r = -.337; p < .01) and positively correlated with 8OHdG (r = .500; p < .01). African Americans and Haitian Americans with T2D had fasting plasma glucose (FPG) levels of 143.0 ± 61.0 mg/dl and 157.6 ± 65.5 mg/dl, and A1C of 7.5 ± 1.8 % and 8.4 ± 2.4 %, respectively. African Americans and Haitian Americans without T2D had FPG levels of 95.8 ± 13.2 mg/dl and 98.7 ± 16.9 mg/dl, and A1C of 5.9 ± 0.4% and 6.0 ± 0.5%, respectively. Dietary intakes of vitamin C and vitamin D were negatively correlated with FPG (r = -.21; r = -.19, p < .05) respectively. Carotenoids negatively correlated with A1C (r = -.19, p < .05). Lower levels of MnSOD were associated with lower levels of zinc, r = .10, p < .05, and higher levels of carotenoids r = -.10, p < .05. Higher levels of 8OHdG were associated with lower levels of Vitamin D, r = -.14, p < .01, and carotenoids, r = -.09, p < .05. ^ The results demonstrate greater oxidative mtDNA damage in persons with T2D compared to those without T2D and in African Americans compared with Haitian Americans. The inverse relationship between dietary intake of antioxidants and oxidative stress implies a potential to reduce oxidative stress with diet. ^

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Purpose: The purpose of the study was to examine Jamaican adolescents in a school setting, for risk factors of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVDs). Methods: A descriptive epidemiological cross-sectional study of 276 Jamaican adolescents (112 males and 164 females) ages 14-19 years (15.6±1.2), randomly selected from grades 9-12 from ten high schools on the island. Thirteen risk factors were examined. Risk factors were compared with BMI levels and demographics. A sub-study validated finger prick testing of fasting blood glucose, total cholesterol, and HbAlc versus venous testing in 59 subjects. Results: Prevalence of overweight was 33.0% (n=91) with mean BMI of 23.74±7.74. Approximately 66.7% of subjects reported > 3 risk factors. The number of T2DM and CVDs risk factors increased for subjects with BMI above 25. One third of the overweight subjects were classified with the metabolic syndrome. High BMI was associated with high waist circumference (r =.767, p (r = .180, p.05). Percentage bias for the methods of blood testing met the reference standards for fasting blood glucose but not for total cholesterol and HbAlc. Bland Altman tests of agreement between the two methods indicated good agreement for all three tests. Conclusion: Jamaican adolescents are at high risk for T2DM and CVDs as seen in other study populations. Effective programs to prevent T2DM and CVDs are needed. Family history of diseases, anthropometric measures, and gender identified more subjects at risk than did the biochemical measures. Comparison between finger prick and venous blood methods suggested that finger prick is an adequate method to screen for risk factors in children and adolescents.

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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.

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Acknowledgment MN's PhD scholarship was provided by Ministry of Health and Medical Education (Islamic Republic of Iran). This study was funded by the University of Aberdeen. FFS is funded by Fuse, the UK Clinical Research Collaboration Centre of Excellence for Translational Research in Public Health. The researchers gratefully acknowledge all the Type 2 diabetic patients and their household members who participated in the study for their contribution to this study; without them there would be no data. The researchers gratefully acknowledge the SDRN for providing the list of Type 2 diabetes and helping for sampling.

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Acknowledgements This study was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB13030000), the National Science foundation of China (microevolution program NSFC91431102) and the 1000 talents program. We are grateful to members of the Molecular Energetics group in Beijing and the Energetics group in Aberdeen, UK for valuable discussion of the data and analysis. All data analysed in this paper are already available in the public domain.

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Acknowledgment MN's PhD scholarship was provided by Ministry of Health and Medical Education (Islamic Republic of Iran). This study was funded by the University of Aberdeen. FFS is funded by Fuse, the UK Clinical Research Collaboration Centre of Excellence for Translational Research in Public Health. The researchers gratefully acknowledge all the Type 2 diabetic patients and their household members who participated in the study for their contribution to this study; without them there would be no data. The researchers gratefully acknowledge the SDRN for providing the list of Type 2 diabetes and helping for sampling.

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Acknowledgements The authors would like to thank the Scottish Diabetes Research Network Epidemiology Group for granting permission to use this database. They also thank the data management team in the University of Aberdeen who were the initial conduit for access to these data and also provided validation to the various data cleaning criteria applied. Jeremy J Walker, University of Edinburgh, was invaluable for the original funding application and initial exploration of data. HSRU is funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. Funding Chief Scientist Office (CSO) reference number: CZG/2/571.

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Funding: The analyses were funded by Boehringer Ingelheim. Access to data from the Optimum Patient Care Research Database was co-funded by Research in Real Life Ltd. The funder, Boehringer Ingelheim, had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Rafael Mares is employed by Research in Real Life Ltd., which provided support in the form of salary for author RM but did not have any additional role in the study design, decision to publish, or preparation of the manuscript. The specific role of this author is articulated in the ‘author contributions’ section.