Panel III Criteria (panel + iii_criterion)

Distribution by Scientific Domains

Kinds of Panel III Criteria

  • adult treatment panel iii criterioN
  • treatment panel iii criterioN

  • Selected Abstracts

    Depressive symptoms predispose females to metabolic syndrome: a 7-year follow-up study

    M. Vanhala
    Objective:, To evaluate the risk for developing metabolic syndrome when having depressive symptoms. Method:, The prevalence of depressive symptoms and metabolic syndrome at baseline, and after a 7-year follow-up as measured with Beck depression inventory (BDI), and using the modified National Cholesterol Education Program , Adult Treatment Panel III criteria for metabolic syndrome (MetS) were studied in a middle-aged population-based sample (n = 1294). Results:, The logistic regression analysis showed a 2.5-fold risk (95% CI: 1.2,5.2) for the females with depressive symptoms (BDI ,10) at baseline to have MetS at the end of the follow-up. The risk was highest in the subgroup with more melancholic symptoms evaluated with a summary score of the melancholic items in BDI (OR 6.81, 95% CI: 2.09,22.20). In men, there was no risk difference. Conclusion:, The higher risks for MetS in females with depressive symptoms at baseline suggest that depression may be an important predisposing factor for the development of MetS. [source]

    Increased prevalence of cardiovascular disease in Type 2 diabetic patients with non-alcoholic fatty liver disease

    DIABETIC MEDICINE, Issue 4 2006
    G. Targher
    Abstract Aims, To estimate the prevalence of cardiovascular disease (CVD) in Type 2 diabetic patients with and without non-alcoholic fatty liver disease (NAFLD), and to assess whether NAFLD is independently related to prevalent CVD. Methods, We studied 400 Type 2 diabetic patients with NAFLD and 400 diabetic patients without NAFLD who were matched for age and sex. Main outcome measures were prevalent CVD (as ascertained by medical history, physical examination, electrocardiogram and echo-Doppler scanning of carotid and lower limb arteries), NAFLD (by ultrasonography) and presence of the metabolic syndrome (MetS) as defined by the World Health Organization or Adult Treatment Panel III criteria. Results, The prevalences of coronary (23.0 vs. 15.5%), cerebrovascular (17.2 vs. 10.2%) and peripheral (12.8 vs. 7.0%) vascular disease were significantly increased in those with NAFLD as compared with those without NAFLD (P < 0.001), with no differences between sexes. The MetS (by any criteria) and all its individual components were more frequent in NAFLD patients (P < 0.001). In logistic regression analysis, male sex, age, smoking history and MetS were independently related to prevalent CVD, whereas NAFLD was not. Conclusions, The prevalence of CVD is increased in patients with Type 2 diabetes and NAFLD in association with an increased prevalence of MetS as compared with diabetic patients without NAFLD. Follow-up studies are necessary to determine whether this higher prevalence of CVD among diabetic patients with NAFLD affects long-term mortality. Diabet. Med. (2006) [source]

    Prevalence of cardiovascular disease and risk factors in a type 2 diabetic population of the North Catalonia diabetes study

    DNS (Diabetes Nurse Specialist & Clinical Researcher), Jeronimo Jurado RN
    Abstract Purpose: The purpose of the study was to evaluate the prevalence of cardiovascular disease (CVD), cardiovascular risk factors (CVRFs), and their control in patients with type 2 diabetes mellitus (T2DM) at primary care settings from the North Catalonia Diabetes Study (NCDS). Data sources: In this multicentre cross-sectional descriptive study, data were collected from a random sample of 307 patients with T2DM. The prevalence of CVD, CVRF, metabolic syndrome (MS), coronary heart disease (CHD) risk at 10 years (Framingham Point Scores), and CVRF control was evaluated. MS and lipid profiles were established according to Adult Treatment Panel III criteria. Conclusions: CVD prevalence was 22.0% (CHD: 18.9% and peripheral ischemia: 4.5%) and more frequent in men. The prevalence of selected CVRF was: hypertension: 74.5%; dyslipidemia: 77.7%; smoking: 14.9%; obesity 44.9%, and familial CVD: 38.4%. Three or more CVRFs, including T2DM, were observed in 91.3%. MS prevalence was 68.7%. Framingham score was 10.0%, higher in men than in women. CVD prevalence was related to: age, number of CVRFs, duration of diabetes, familial history of CVD, waist circumference, hypertension, lipid profile, kidney disease, and Framingham score, but not to MS by itself. Correct lipid profiles and blood pressure were only observed in 18.9% and 24.0%, respectively, whereas platelet aggregation inhibitors were only recorded in 16.1% of the patient cohort. MS presence was not an independent risk factor of CVD in our study. Implications for practice: The high prevalence of CVD and an inadequate control of CVRF, which were apparent in the NCDS population, would suggest that advanced practice nurses should consider incorporating specific cardiovascular assessment in their routine care of persons with T2DM. [source]

    Metabolic syndrome in youth: a cross-sectional school-based survey

    ACTA PAEDIATRICA, Issue 12 2007
    Dirk Vissers
    Abstract Aim: To assess the prevalence of metabolic syndrome (MetS) among students attending vocational secondary school (VSE). VSE provides practice-oriented education in which young people learn a specific occupation. Previously we reported VSE to be the type of education with the highest prevalence of overweight and obesity. Methods: All data were collected in a cross-sectional school-based survey. Subjects were recruited from a community sample of 869 adolescents in 14 secondary schools. In this total sample all components of the metabolic syndrome were assessed in a subgroup of 506 students. MetS was defined analogous to National Cholesterol Education Program: Adult Treatment Panel III criteria, with modifications for students under 19 years of age. Results: In the subsample (n = 506) 4.1% of the students had metabolic syndrome. There was a significant difference in the prevalence of metabolic syndrome among BMI categories (p < 0.001). The prevalence of metabolic syndrome was higher in obese students (39.1%) than in overweight students (2.8%) and normal weight students (0.3%). Conclusion: Being overweight or obese substantially increases the risk for metabolic syndrome, even in an adolescent school population. [source]