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      Differential obesity indices identify the metabolic syndrome in Black men and women in Cape Town: the CRIBSA study

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      Journal of Public Health
      Oxford University Press (OUP)

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          Abstract

          To determine the obesity indices, specifically waist circumference (WC), that identified ≥2 other metabolic syndrome (MS) components (2009 criteria) in 25- to 74-year-old Africans in Cape Town.

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          Most cited references14

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          Understanding diagnostic tests 3: Receiver operating characteristic curves.

          The results of many clinical tests are quantitative and are provided on a continuous scale. To help decide the presence or absence of disease, a cut-off point for 'normal' or 'abnormal' is chosen. The sensitivity and specificity of a test vary according to the level that is chosen as the cut-off point. The receiver operating characteristic (ROC) curve, a graphical technique for describing and comparing the accuracy of diagnostic tests, is obtained by plotting the sensitivity of a test on the y axis against 1-specificity on the x axis. Two methods commonly used to establish the optimal cut-off point include the point on the ROC curve closest to (0, 1) and the Youden index. The area under the ROC curve provides a measure of the overall performance of a diagnostic test. In this paper, the author explains how the ROC curve can be used to select optimal cut-off points for a test result, to assess the diagnostic accuracy of a test, and to compare the usefulness of tests. The ROC curve is obtained by calculating the sensitivity and specificity of a test at every possible cut-off point, and plotting sensitivity against 1-specificity. The curve may be used to select optimal cut-off values for a test result, to assess the diagnostic accuracy of a test, and to compare the usefulness of different tests.
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            Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the U.S.

            The International Diabetes Federation (IDF) has proposed a new definition of the metabolic syndrome that emphasizes central adiposity as determined by ethnic group-specific thresholds of waist circumference. The objective of this study was to estimate the prevalence of this syndrome using the IDF definition among U.S. adults and to compare it with the prevalence estimated using the definition of the National Cholesterol Education Program (NCEP). A total of 3,601 men and women aged > or =20 years from the National Health and Nutrition Examination Survey 1999-2002 were included in the analyses. Based on the NCEP definition, the unadjusted prevalence of the metabolic syndrome was 34.5 +/- 0.9% (percent +/- SE) among all participants, 33.7 +/- 1.6% among men, and 35.4 +/- 1.2% among women. Based on the IDF definition, the unadjusted prevalence of the metabolic syndrome was 39.0 +/- 1.1% among all participants, 39.9 +/- 1.7% among men, and 38.1 +/- 1.2% among women. The IDF definition led to higher estimates of prevalence in all of the demographic groups, especially among Mexican-American men. The two definitions similarly classified approximately 93% of the participants as having or not having the metabolic syndrome. In the U.S., the use of the IDF definition of the metabolic syndrome leads to a higher prevalence estimate of the metabolic syndrome than the estimate based on the NCEP definition.
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              Rising Diabetes Prevalence among Urban-Dwelling Black South Africans

              Objective To examine the prevalence of and the association of psychosocial risk factors with diabetes in 25–74-year-old black Africans in Cape Town in 2008/09 and to compare the prevalence with a 1990 study. Research Design and Methods A randomly selected cross-sectional sample had oral glucose tolerance tests. The prevalence of diabetes (1998 WHO criteria), other cardiovascular risk factors and psychosocial measures, including sense of coherence (SOC), locus of control and adverse life events, were determined. The comparison of diabetes prevalence between this and a 1990 study used the 1985 WHO diabetes criteria. Results There were 1099 participants, 392 men and 707 women (response rate 86%). The age-standardised (SEGI) prevalence of diabetes was 13.1% (95% confidence interval (CI) 11.0–15.1), impaired glucose tolerance (IGT) 11.2% (9.2–13.1) and impaired fasting glycaemia 1.2% (0.6–1.9). Diabetes prevalence peaked in 65–74-year-olds (38.6%). Among diabetic participants, 57.9% were known and 38.6% treated. Using 1985 WHO criteria, age-standardised diabetes prevalence was higher by 53% in 2008/09 (12.2% (10.2–14.2)) compared to 1990 (8.0% (5.8–10.3)) and IGT by 67% (2008/09: 11.7% (9.8–13.7); 1990: 7.0% (4.9–9.1)). In women, older age (OR: 1.05, 95%CI: 1.03–1.08, p<0.001), diabetes family history (OR: 3.13, 95%CI: 1.92–5.12, p<0.001), higher BMI (OR: 1.44, 95%CI: 1.20–1.82, p = 0.001), better quality housing (OR: 2.08, 95%CI: 1.01–3.04, p = 0.047) and a lower SOC score (≤40) was positively associated with diabetes (OR: 2.57, 95%CI: 1.37–4.80, p = 0.003). Diabetes was not associated with the other psychosocial measures in women or with any psychosocial measure in men. Only older age (OR: 1.05, 95%CI: 1.02–1.08, p = 0.002) and higher BMI (OR: 1.10, 95%CI: 1.04–1.18, p = 0.003) were significantly associated with diabetes in men. Conclusions The current high prevalence of diabetes in urban-dwelling South Africans, and the likelihood of further rises given the high rates of IGT and obesity, is concerning. Multi-facetted diabetes prevention strategies are essential to address this burden.
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                Author and article information

                Journal
                Journal of Public Health
                J Public Health
                Oxford University Press (OUP)
                1741-3842
                1741-3850
                February 11 2016
                March 2016
                January 24 2015
                : 38
                : 1
                : 175-182
                Article
                10.1093/pubmed/fdu115
                25618906
                4062f010-50c6-4dbf-a83b-9249acc1da5f
                © 2015
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