20 research outputs found

    Waist Circumference Thresholds Provide an Accurate and Widely Applicable Method for the Discrimination of Diabetes

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    Excess weight, particularly central obesity, is recognized to be a major determinant of diabetes risk in all populations, with the magnitude of the association reported as being stronger in Asians than whites (1–3). Consequently, indicators of overweight have been incorporated into several guidelines for the early identification of individuals with type 2 diabetes (4). However, the anthropometric cut points for different ethnic groups have been determined in various ways, leading to uncertainty about their applicability to diabetes screening. Here, we clarify current uncertainty regarding ethnic differences in the relationship between overweight and diabetes and whether there is a single measure of overweight that can be determined routinely and applied universally in clinical practice to facilitate earlier detection of diabetes in the general population

    Abdominal obesity, an independent cardiovascular risk factor in Indian subcontinent: A clinico epidemiological evidence summary

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    Evidence is emerging that obesity-associated cardiovascular disorders (CVD) show variations across regions and ethnicities. However, it is unclear if there are distinctive patterns of abdominal obesity contributing to an increased CVD risk in South Asians. Also, potential underlying mechanistic pathways of such unique patterns are not comprehensively reported in South Asians. This review sets out to examine both. A comprehensive database search strategy was undertaken, namely, PubMed, Embase and Cochrane Library, applying specific search terms for potentially relevant published literature in English language. Grey literature, including scientific meeting abstracts, expert consultations, text books and government/non-government publications were also retrieved. South Asians have 3-5% higher body fat than whites, at any given body mass index. Additional distinctive features, such as South Asian phenotype, low adipokine production, lower lean body mass, ethno-specific socio-cultural and economic factors, were considered as potential contributors to an early age-onset of obesity-linked CVD risk in South Asians. Proven cost-effective anti-obesity strategies, including the development of ethno-specific clinical risk assessment tools, should be adopted early in the life-course to prevent premature CVD deaths and morbidity in South Asians

    Obesity and Metabolic Syndrome in Korea

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    In Korea, a person with a body mass index (BMI) ≥25 kg/m2 is considered obese, and a person with a BMI ≥30 kg/m2 is classified as severely obese. Central obesity is defined as a waist circumference ≥90 cm for Korean men and ≥85 cm for Korean women. Recent epidemiologic data show that the prevalence of severe obesity and metabolic syndrome is steadily increasing. These epidemics increased morbidity and mortality of type 2 diabetes, cardiovascular diseases, and obesity-related cancers such as breast, colorectal, and other cancers in Korea. Decreased physical activity, increased fat and alcohol consumption, heavy smoking, and stress/depressed mood are the primary modifiable life-style risk factors for Koreans. Recently, public health interventions to encourage life-style changes have shown promising results in reducing the prevalence of severe obesity and metabolic syndrome

    Ethnicity and the association between anthropometric indices of obesity and cardiovascular risk in women: a cross-sectional study

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    Objectives: The objectives of this study were to determine whether the cross-sectional associations between anthropometric obesity measures, body mass index (BMI), waist circumference (WC) and waist-to hip ratio (WHR), and calculated 10-year cardiovascular disease (CVD) risk using the Framingham and general CVD risk score models, are the same for women of Australian, UK and Ireland, North European, South European and Asian descent. This study would investigate which anthropometric obesity measure is most predictive at identifying women at increased CVD risk in each ethnic group. Design: Cross-sectional data from the National Heart Foundation Risk Factor Prevalence Study. Setting: Population-based survey in Australia. Participants: 4354 women aged 20–69 years with no history of heart disease, diabetes or stroke. Most participants were of Australian, UK and Ireland, North European, South European or Asian descent (97%).Outcome measures: Anthropometric obesity measures that demonstrated stronger predictive ability of identifying women at increased CVD risk and likelihood of being above the promulgated treatment thresholds of various risk score models. Results: Central obesity measures, WC and WHR, were better predictors of cardiovascular risk. WHR reported a stronger predictive ability than WC and BMI in Caucasian women. In Northern European women, BMI was a better indicator of risk using the general CVD (10% threshold) and Framingham (20% threshold) risk score models. WC was the most predictive of cardiovascular risk among Asian women. Conclusions: Ethnicity should be incorporated into CVD assessment. The same anthropometric obesity measure cannot be used across all ethnic groups. Ethnic-specific CVD prevention and treatment strategies need to be further developed

    Blood pressure, body mass index and risk of cardiovascular disease in Chinese men and women

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    <p>Abstract</p> <p>Background</p> <p>It is still uncertain whether increased blood pressure (BP) has a stronger effect on the risk of cardiovascular disease (CVD) in lean persons than in obese persons. We tested it using a data set collected from a large cohort of Chinese adults.</p> <p>Methods</p> <p>Systolic and diastolic BP, body mass index (BMI) and other variables were measured in 169,871 Chinese men and women ≥ 40 years of age in 1991 using standard protocols. Follow-up evaluation was conducted in 1999-2000, with a response rate of 93.4%. Data were analyzed with Cox proportional hazards models.</p> <p>Results</p> <p>After adjusted for age, sex, cigarette smoking, alcohol consumption, high school education, physical inactivity, geographic region, and urbanization, we found that the effects of systolic or diastolic BP on risk of CVD generally increased with the increasing BMI levels (underweight, normal, overweight, and obese). For example, hazard ratios (HRs) and 95% confidence interval (CI) per 1- standard deviation (SD) increase in systolic BP within corresponding BMI levels were 1.27(1.21-1.33), 1.45(1.41-1.48), 1.52 (1.45-1.59) and 1.63 (1.51-1.76), respectively. Statistically significant interactions (P < 0.0001) were observed between systolic BP, diastolic BP and BMI in relation to CVD. In baseline hypertensive participants we found both obese men and women had higher risk of CVD than normal-weight persons. The multivariate-adjusted HRs(95%CI) were 1.23(1.03-1.47) and 1.20(1.02-1.40), respectively.</p> <p>Conclusion</p> <p>Our study suggests that the magnitude of the association between BP and CVD generally increase with increasing BMI. Hypertension should not be regarded as a less serious risk factor in obese than in lean or normal-weight persons in Chinese adults.</p

    The discrimination of dyslipidaemia using anthropometric measures in ethnically diverse populations of the Asia-Pacific Region: The Obesity in Asia Collaboration

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    Dyslipidaemia is a major risk factor for cardiovascular disease and is only detectable through blood testing, which may not be feasible in resource-poor settings. As dyslipidaemia is commonly associated with excess weight, it may be possible to identify individuals with adverse lipid profiles using simple anthropometric measures. A total of 222 975 individuals from 18 studies were included as part of the Obesity in Asia Collaboration. Linear and logistic regression models were used to assess the association between measures of body size and dyslipidaemia. Body mass index, waist circumference, waist: hip ratio (WHR) and waist: height ratio were continuously associated with the lipid variables studied, but the relationships were consistently stronger for triglycerides and high-density lipoprotein cholesterol. The associations were similar between Asians and non-Asians, and no single anthropometric measure was superior at discriminating those individuals at increased risk of dyslipidaemia. WHR cut-points of 0.8 in women and 0.9 in men were applicable across both Asians and non-Asians for the discrimination of individuals with any form of dyslipidaemia. Measurement of central obesity may help to identify those individuals at increased risk of dyslipidaemia. WHR cut-points of 0.8 for women and 0.9 for men are optimal for discriminating those individuals likely to have adverse lipid profiles and in need of further clinical assessment. © 2009 International Association for the Study of Obesity

    Ethnic comparisons of obesity in the Asia-Pacific region: Protocol for a collaborative overview of cross-sectional studies

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    The prevalence of overweight and obesity has been rapidly increasing within countries of the Asia-Pacific region, with adverse consequences for health. The Obesity in Asia Collaboration (OAC) was initiated to provide reliable evidence concerning the relationships between anthropometrical markers of adiposity with cardiovascular risk factors within, and across, ethnic groups. This is to be achieved through the collection of cross-sectional studies from the Asia-Pacific region. These data will be used to examine the ethnic-specific associations of different anthropometric measures of adiposity (such as body mass index, waist circumference, waist-hip ratio and waist-height ratio) with cardiovascular risk factors (fasting blood glucose and blood pressure). Estimates of the relative risks for type 2 diabetes and hypertension with increased adiposity will be obtained using data from contributing studies in conjunction with those from the previously established Asia Pacific Cohort Studies Collaboration. To date, 12 countries and regions from the Asia-Pacific region with information on nearly 300 000 individuals, are participants in the OAC. Data from other eligible studies are sought. The findings from the OAC will provide reliable evidence concerning the association of adiposity with cardiovascular risk factors across ethnic groups. It will also provide a strong evidence base upon which to define ethnic-specific cut-points for overweight and obesity. © 2005 The International Association for the Study of Obesity.link_to_subscribed_fulltex

    Is central obesity a better discriminator of the risk of hypertension than body mass index in ethnically diverse populations?

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    OBJECTIVE: To compare the performance of body mass index (BMI) against waist circumference, waist: hip ratio (WHR) and waist: height ratio in the discrimination of hypertension in ethnically diverse populations. METHODS: Meta-analysis of 19 cross-sectional studies. MAIN OUTCOME MEASURES: Discrimination of hypertension (SBP/DBP ≥ 140/90 mmHg) was adjudicated from Receiver Operating Characteristic curves; optimum thresholds were defined as those that maximized sensitivity plus specificity. RESULTS: Irrespective of which measure of overweight was used, the strength of the association with blood pressure was consistently greater among Asians compared with Caucasians or Pacific Islanders; however, in all regions, and for all anthropometric measures, the increment in blood pressure, and the additional risk of hypertension, were broadly similar for the same relative increment in each of the four measures. Optimum thresholds varied by region; WHR was the most consistent between the regions, with thresholds of 0.92-0.94 for men and 0.80-0.88 for women. No anthropometric variable was systematically better than others at the discrimination of hypertension. CONCLUSIONS: Blood pressure is similarly associated with each of the four measures of overweight chosen, but the associations were stronger among Asians. WHR has advantages in terms of consistency of thresholds for hypertension across ethnic groups in the Asia-Pacific. © 2008 Lippincott Williams & Wilkins, Inc.link_to_subscribed_fulltex
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