Accuracy of anthropometric indicators of obesity to predict cardiovascular risk

CONTEXT: Obesity is associated with various cardiovascular risk factors. The body mass index (BMI) is the standard measure of overweight and obesity. However, more recently, waist to hip ratio (WHR) or waist circumference (WC) as more sensitive measures for visceral obesity have been proposed to be more indicative of cardiovascular risk. OBJECTIVE: This study was performed to test the predictive value of anthropometric parameters for the presence of several cardiovascular risk conditions. DESIGN: The DETECT (Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment) study is a cross-sectional, clinical-epidemiological study. PARTICIPANTS: We studied 5377 unselected subjects (2016 men, 3361 women) without arteriosclerotic disease, aged 20-79 yr, from the DETECT laboratory sample. SETTING: This study was conducted by primary care physicians. INTERVENTION: We measured anthropometric parameters and assessed cardiovascular risk by clinical examination, patient history, and a standardized laboratory program. MAIN OUTCOME MEASURES: We assessed the associations of BMI, WC, hip circumference, WHR, and waist to height ratio (WHtR) to cardiovascular risk by calculating the area under the receiver-operating characteristic curve and adjusted odds ratios for metabolic syndrome, dyslipidemia, and type 2 diabetes. RESULTS: The area under the receiver-operating characteristic curve for WHtR was significantly higher than for all other anthropometric parameters with respect to all risk conditions in women and to dyslipidemia and type 2 diabetes in men. The odds ratios for the presence of risk conditions with 1 sd increase of each anthropometric parameter were highest for WHtR or WC. CONCLUSIONS: There are some indications that WHtR or WC may predict prevalent cardiovascular risk better than BMI or WHR, even though the differences are small.     

Associations of obesity measures with metabolic risk factors in a community-based population in Japan.

BACKGROUND: The association of obesity measures (ie, body mass index (BMI), waist circumference (WC) and waist-to hip ratio (WHR)) with metabolic risk factors in community-based populations has not been well studied. METHODS AND RESULTS: In the present study 759 men and 1,255 women aged between 30 and 79 years, without histories of stroke or coronary heart diseases, were dichotomized at the medians of BMI-WHR, WC-WHR and BMI-WC. The accumulation of 4 metabolic risk factors (risk _ sum) were examined: high blood pressure (> or =130/85 mmHg or on antihypertensive therapy); high triglycerides (> or =170 mg/dl); low high-density lipoprotein-cholesterol (<40 mg/dl); and impaired glucose tolerance (hemoglobin A1c > or =5.6% or on antidiabetic therapy). BMI and WC correlated well in both men (r=0.871) and women (r=0.874). All 3 obesity measures related with the metabolic risk factors. The area under the receiver-operating characteristic curve for BMI, WC and WHR to predict the risk _ sum > or =2 for men was 0.683, 0.709, and 0.700, respectively, and 0.715, 0.739, and 0.746, respectively, for women. CONCLUSIONS: BMI may be used instead of WC if the latter is not available. When WC is measured, hip circumference also should be measured because the WHR may be the most valuable measure of obesity.     

Obesity indices and cardiovascular risk factors in Thai adults

OBJECTIVE: To examine the relationship of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHpR) and waist-to-height ratio (WHtR) with cardiovascular risk factors and diabetes in Thai population. DESIGN: A national cross-sectional survey of cardiovascular risk factors. SUBJECTS: Five thousand and three hundred five Thai adults aged > or =35 years. MEASUREMENTS: Body weight, height, waist and hip circumference and cardiovascular risk factors including blood pressure, total plasma cholesterol, high-density lipoprotein, triglyceride and fasting plasma glucose were measured. Age- and sex-specific means and prevalence of cardiovascular risk factors were calculated and compared among anthropometric measurements. RESULTS: There were increasing trends of severity of cardiovascular risk factors and prevalence of morbidity conditions across increasing levels of BMI, WC, WHpR and WHtR categories. For age group > or =65 years, WC, WHpR and WHtR provided more consistent association with cardiovascular risk factors than BMI. Area under the curve indicated that measurement of central obesity could predict cardiovascular risk better than BMI. The optimal cutoff points for anthropometric measurements were in line with the Asia-Pacific recommendation; however, similar cutoff point for men and women between 82 and 85 cm was observed. CONCLUSION: Central obesity indices were slightly better associated with cardiovascular risk factors compared to BMI in Thai adults aged > or =35 years.     

Anthropometric indices of fat distribution and cardiometabolic risk in Parkinson's disease

Background &; aimsTo investigate the association between anthropometric indices of body fat distribution and cardiometabolic risk factors in a population of Parkinson’s disease (PD) patients.Methods &; resultsOne hundred and fifty-seven PD patients (57.3% males) were studied measuring: waist circumference (WC), waist-hip ratio (WHR), waist-to-height ratio (WtHR), body fat percentage (BF%) by impedance, fasting glucose, serum lipids. Information was collected also on diabetes, hypertension and metabolic syndrome (MetS). Increased cardiometabolic risk was defined by ≥2 MetS component traits other than abdominal adiposity. In the whole population, prevalence of overweight and obesity were 35.0% and 19.2%, respectively. However, prevalence of MetS and elevated cardiometabolic risk were 14.6% and 18.5%, respectively. Prevalence was similar between genders, with one exception: adverse fat distribution according to WC and WHR was more common in females (P < 0.001). Using a multivariable model (adjustments: age, smoking status and disease duration), indices were highly correlated with BF% in both genders. WC and WtHR were associated with the number of MetS criteria and elevated risk. The only cardiometabolic parameters associated with anthropometric indices were HDL in men and triglycerides in women. After adjusting also for BMI all the associations found with anthropometric indices disappeared.ConclusionsDespite their correlation with BF%, anthropometric indices of body fat distribution appear to poorly account for the reduced cardiometabolic risk of the PD patient. This finding suggests a low metabolic activity within the adipose tissue. The implications of fat distribution on the cardiometabolic risk of PD patients clearly deserves further investigation.     

The association of differing measures of overweight and obesity with prevalent atherosclerosis: the Dallas Heart Study.

OBJECTIVES: This study sought to evaluate the associations between different measures of obesity and prevalent atherosclerosis in a large population-based cohort. BACKGROUND: Although obesity is associated with cardiovascular mortality, it is unclear whether this relationship is mediated by increased atherosclerotic burden. METHODS: Using data from the Dallas Heart Study, we assessed the association between gender-specific obesity measures (i.e., body mass index [BMI]; waist circumference [WC]; waist-to-hip ratio [WHR]) and prevalent atherosclerosis defined as coronary artery calcium (CAC) score >10 Agatston units measured by electron-beam computed tomography and detectable aortic plaque measured by magnetic resonance imaging. RESULTS: In univariable analyses (n = 2,744), CAC prevalence was significantly greater only in the fifth versus first quintile of BMI, whereas it increased stepwise across quintiles of WC and WHR (p trend <0.001 for each). After multivariable adjustment for standard risk factors, prevalent CAC was more frequent in the fifth versus first quintile of WHR (odds ratio 1.91, 95% confidence interval 1.30 to 2.80), whereas no independent positive association was observed for BMI or WC. Similar results were observed for aortic plaque in both univariable and multivariable-adjusted analyses. The c-statistic for discrimination of prevalent CAC was greater for WHR compared with BMI and WC in women and men (p < 0.001 vs. BMI; p < 0.01 vs. WC). CONCLUSIONS: We discovered that WHR was independently associated with prevalent atherosclerosis and provided better discrimination than either BMI or WC. The associations between obesity measurements and atherosclerosis mirror those observed between obesity and cardiovascular mortality, suggesting that obesity contributes to cardiovascular mortality via increased atherosclerotic burden.     

The relationship between simple anthropometric indices and C-reactive protein: ethnic and gender differences

C-reactive protein (CRP) is an independent risk factor for cardiovascular disease (CVD) that is strongly associated with indicators of body fat, yet the effect of potential confounders, such as ethnic background and gender has not been characterized. Our purpose was to determine the effect ethnicity and gender has on the relationship between CRP, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) in men and women of Chinese and European descent. BMI, WC, WHR, and CRP were measured in European (n = 91) and Chinese (n = 91) men and women recruited from local hospital staff. Pearson correlation coefficients were determined between CRP, age, and anthropometric measures for the entire cohort and stratified by ethnicity and gender. Multiple regression analyses were performed using interactions between BMI, WC, and WHR for each ethnicity and gender with CRP as the outcome. CRP levels were significantly lower in Chinese compared with Europeans, but this difference disappeared after correction for either BMI or WC. In women, BMI (r =.55, P <.01) and WC (r =.59, P <.01) correlated with CRP. Gender significantly interacted with WC to predict CRP after adjusting for age, smoking status, alcohol, and BMI (P <.05). There was a nonsignificant interaction between gender and BMI as a predictor of CRP. Differences in CRP remained significant after adjusting for WHR. The relationship between CRP levels and BMI or WC was similar between men and women of Chinese and European descent. Gender significantly modified the relationship between CRP and WC. At a WC beyond 70 cm, CRP levels increased at a greater rate in women than men.     

Gallstone disease and obesity: a population-based study on abdominal fat distribution and gender differences

Background. Existing evidence suggests the visceral fat is more metabolically active than subcutaneous fat. We aimed to investigate the value of subcutaneous (SAT) and visceral adipose tissue thickness (VAT) for prediction of gallstone disease (GSD) in general population by focus on gender differences and comparison with body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR).Material and methods. In this cross-sectional survey, 1,494 subjects (51.4 % men), aged above 50, randomly selected from Golestan Cohort Study residing in Gonbad City, Iran, underwent anthropometric measurements and abdominal ultrasonography.Results. Prevalence of GSD was 17.8% (95% CI 15.9-19.8). Following adjustment for age and then other potential risk factors, all obesity indices, except for SAT, were associated with GSD in women with the highest odds ratio observed in WHtR (OR 1.52, 95% CI 1.22-1.89). In contrast, WHR was the only associated index in men (OR 1.49, 95% CI 1.08-2.06). The trend of increasing obesity measures across the quartiles with the risk of GSD was significant in subgroups of WHtR and BMI in women and WHR in men. No significant association was found between SAT and GSD in men or women.Conclusions. The best anthropometric indicators of the risk of GSD may differ by gender. In men, WHR might be the only preferred index to estimate risk of GSD. WHtR, WHR, VAT and BMI are associated with GSD risk in women, although WHtR might better explain this risk. SAT is the poor indicator for identifying subjects with GSD in both genders.     

Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan

BACKGROUND: The increased health risks associated with obesity have been found to occur in Asians at lower body mass indices (BMIs). To determine the optimal cut-off values for overweight or obesity in Taiwan, we examined the relationships between four anthropometric indices and cardiovascular risk factors. METHODS: The data were collected from four health-screening centers from 1998 to 2000 in Taiwan. Included were 55 563 subjects (26 359 men and 29 204 women, mean age=37.3+/-10.9 and 37.0+/-11.1 y, respectively). None had known major systemic diseases or were taking medication. Individual body weight, height, waist circumference (WC), and a series of tests related to cardiovascular risk (blood pressure, fasting plasma glucose, triglycerides, total cholesterol, low- and high-density lipoprotein cholesterol) were assessed and their relationships were examined. Receiver operating characteristic (ROC) analysis was used to find out the optimal cut-off values of various anthropometric indices to predict hypertension, diabetes mellitus and dyslipidemia. RESULTS: Of the four anthropometric indices we studied, waist-to-height ratio (WHtR) in women was found to have the largest areas under the ROC curve (women=0.755, 95% CI 0.748-0.763) relative to at least one risk factor (ie hypertension or diabetes or dyslipidemia). The optimal cut-off values for overweight or obesity from our study in men and women showed that BMIs of 23.6 and 22.1 kg/m(2), WCs of 80.5 and 71.5 cm, waist-to-hip ratios (WHpR) of 0.85 and 0.76, and WHtR of 0.48 and 0.45, respectively, may be more appropriate in Taiwan. CONCLUSIONS: WHtR may be a better indicator for screening overweight- or obesity-related CVD risk factors than the other three indexes (BMI, WC and WHpR) in Taiwan. Our study also supported the hypothesis that the cut-off values using BMI and WC to define obesity should be much lower in Taiwan than in Western countries.     

The relationship between asthma symptoms and anthropometric markers of overweight in a Hispanic population.

BACKGROUND: Previous studies have revealed the relationship between asthma and obesity, but the relationship with other markers of overweight and obesity has not yet been investigated. OBJECTIVE: To establish the relationship between asthma symptoms and simple anthropometric indexes (BMI, waist circumference (WC), and waist-to-hip ratio (WHR)) as markers of overweight in an adult Hispanic population. METHODS: The data were obtained from the PRIT (Prevalence of Cardiovascular Risks in General Hospital Workers) 2001 survey. The participants were workers at the Hospital General de México in Mexico City and included 135 men and 398 women aged 43.8 +/- 11.9 and 43.0 +/- 10.5, respectively. Odds ratios for asthma symptoms at different BMI, WC, and WHR cutoff points associated with excessive weight were calculated. The likelihood ratios for having asthma symptoms in participants with various cutoff values of BMI, WC, and WHR also were calculated. RESULTS: Asthma symptoms were not related to anthropometric markers of overweight or obesity in men, while they were associated in women with WC cutoff levels of 80 and 85 cm, and BMI of 25 and 27 kg/m2. No level of WHR was related to asthma symptoms in women. In women, the likelihood ratio for asthma symptoms increased proportionally from WC levels of 73.5 cm up to 86 cm, while this risk increased significantly from BMI levels of 22 up to 29 kg/m2. CONCLUSION: Overweight as assessed by BMI and WC (but not WHR) was related to asthma symptoms in women in the studied population.     

Ethnic differences in the relationships between obesity and glucose-metabolic abnormalities: a cross-sectional population-based study

OBJECTIVES: To evaluate whether body mass index (BMI) and other anthropometric indices of visceral obesity vary by ethnic group in their distribution and their relationship to metabolic abnormalities. DESIGN: Cross-sectional study. PARTICIPANTS: Canadian men and women, aged 35-75 years, of South Asian (n=342), Chinese (n=317), European (n=326) and Aboriginal (n=301) descent were recruited using stratified random sampling. PRIMARY MEASURES: Anthropometric indices (BMI, waist to hip ratio (WHR) and waist circumference (WC)), metabolic markers (fasting glucose, HbA1c, the ratio of total cholesterol/HDL) and clinical markers (systolic blood pressure) were assessed. RESULTS: In subjects with BMI<30 kg/m2, the mean marker levels in people with elevated WC (>88 cm in women, >102 cm in men) vs people with normal WC were 6.16 vs 5.34 mmol/l for fasting glucose, 6.05 vs 5.66% for HbA1c and 5.46 vs 4.68 for the ratio of total cholesterol to HDL (P<0.001 in each case). At nearly every given level of BMI, non-European ethnic groups displayed significantly higher marker levels than Europeans. For example, for a given BMI, age and sex, the difference between European and non-European groups in HbA1c levels was 0.53% (95% confidence interval (CI): 0.37-0.69) for South Asians, 0.37% (95% CI: 0.2-0.54) for Chinese and 0.95% (95% CI: 0.78-1.12) for Aboriginal People. CONCLUSIONS: Uniform cut-points for the classification of obesity using BMI, WHR or WC result in marked variation in the levels of glucose-metabolic abnormalities between ethnic groups. Existing action thresholds for these anthropometric indices do not apply to non-European ethnic groups and warrant revision.     

Waist circumference and abdominal sagittal diameter as surrogates of body fat distribution in the elderly: their relation with cardiovascular risk factors

OBJECTIVE: To evaluate the relationship between supine sagittal abdominal diameter (SAD) and other indicators of body fat distribution with cardiovascular (CVD) risk factors in the elderly. SUBJECTS: One-hundred and forty-six women aged from 67 to 78 y with a body mass index (BMI) ranging from 18.7 to 50.6 kg/m2 and 83 men aged between 67 and 78 y with BMI ranging from 19.8 to 37.1 kg/m2. MEASUREMENT: Body fat distribution was assessed using anthropometric indicators: waist circumference, SAD, waist-to-hip ratio (WHR), waist-to-height ratio and SAD-to-thigh ratio. RESULTS: In women, there was a negative correlation between HDL-cholesterol and body weight, BMI, waist, SAD, WHR, waist-to-height ratio and SAD-to-thigh ratio. A significant association was found between triglycerides, basal glucose, 2 h glucose during oral glucose tolerance test (OGTT), systolic blood pressure (SBP), diastolic blood pressure (DBP) and anthropometric variables. In men a negative correlation was found between HDL-cholesterol and all the anthropometric variables. A significant association was found between triglycerides, DBP and body weight, BMI, waist, SAD and waist-to-height ratio. In women, after adjusting for age and BMI, a significant correlation was observed between waist and HDL-cholesterol, triglycerides and basal glucose. This was also seen with SAD and SAD-to-thigh ratio and triglycerides, basal and 2 h glucose. In men, after adjusting for age and BMI a significant correlation was found between SAD and HDL-cholesterol and triglycerides. When adjustments were made for age and waist, the correlations between BMI and metabolic variables as well between BMI and SBP and DBP were no longer significant. CONCLUSIONS: Our study shows that indicators of body fat distribution are associated with CVD risk factors in the elderly independently of BMI. Our data also show that waist and SAD are the anthropometric indicators of fat distribution which are most closely related to CVD risk factors in old age.     

Relationship between obesity and several cardiovascular disease risk factors in apparently healthy Korean individuals: comparison of body mass index and waist circumference

Recent versions of the criteria for diagnosing the metabolic syndrome have emphasized the superiority of abdominal obesity, as measured by waist circumference (WC), in identifying individuals at increased risk for cardiovascular disease (CVD). On the other hand, there is evidence that body mass index (BMI), an estimate of overall obesity, fulfills this function as effectively as does WC. The present analysis was performed to compare the relative use of these 2 indices of obesity to identify multiple CVD risk factors. The study population consisted of 19584 apparently healthy men and women of Korean ethnicity, and the CVD risk factors measured included fasting plasma concentrations of the following variables: glucose, insulin, total, low-density lipoprotein, and high-density lipoprotein cholesterol, triglycerides, apolipoproteins A-I and B, and high-sensitivity C-reactive protein. The univariate relationships between the 2 indices of obesity and the 9 CVD risk factors were relatively modest (the highest r value was 0.45), but they were all statistically significant, and the magnitude of the relationships between the CVD risk factors and BMI and WC were comparable. When multivariate analysis was performed, adjusting for age and either BMI or WC, each index of obesity continued to have an independent relationship, albeit reduced in magnitude, with the CVD risk factors. These findings suggest that measurements of BMI provide as much clinical insight as do determinations of WC in identifying multiple CVD risk factors in a large population of apparently healthy Korean men and women, and that the use of both indices would provide the most information.     

Obesity and its measurement in a community‐based sample of women with systemic lupus erythematosus

Objective

To determine the prevalence of obesity and evaluate how accurately standard anthropometric measures identify obesity among women with systemic lupus erythematosus (SLE).

Methods

Dual x‐ray absorptiometry (DXA), height, weight, and waist and hip circumference measurements were collected from 145 women with SLE. Three anthropometric proxies of obesity (body mass index [BMI] ≥30 kg/m², waist circumference [WC] ≥88 cm, and waist:hip ratio [WHR] ≥0.85) were compared with a DXA‐based obesity criterion. Correspondence between measures was assessed with Cohen's kappa. Receiver operating characteristic curves determined optimal cut points for each anthropometric measure relative to DXA. Framingham cardiovascular risk scores were compared among women who were classified as not obese by both traditional and revised anthropometric definitions, obese by both definitions, and obese only by the revised definition.

Results

Of the 145 women, 28%, 29%, 41%, and 50% were classified as obese by WC, BMI, WHR, and DXA, respectively. Correspondence between anthropometric and DXA‐based measures was moderate. Women misclassified by anthropometric measures had less truncal fat and more appendicular lean and fat mass. Cut points were identified for anthropometric measures to better approximate DXA estimates of percent body fat: BMI ≥26.8 kg/m², WC ≥84.75 cm, and WHR ≥0.80. Framingham risk scores were significantly higher in women classified as obese by either traditional or revised criteria.

Conclusion

A large percentage of this group of women with SLE was obese. Substantial portions of women were misclassified by anthropometric measures. Utility of revised cut points compared with traditional cut points in identifying risk of cardiovascular disease or disability remains to be examined in prospective studies, but results from the Framingham risk score analysis suggest that traditional cut points exclude a significant number of at‐risk women with SLE.     

The prospective association of general and central obesity variables with incident type 2 diabetes in adults, Tehran lipid and glucose study

OBJECTIVE: To investigate which anthropometric index is the best predictor of diabetes in relation to age. METHODS: In this longitudinal study 4479 non-diabetic men and women aged > or =20 years were followed for 3.6 years. Diabetes with its risk factors and obesity were defined according to the ADA and the WHO criteria, respectively. Logistic regression analysis was used to estimate the odds ratio (OR) of developing diabetes in model 1 including only the anthropometric measure and in model 2 adjusted for common diabetes risk factors and in model 3 adjusted for other anthropometric indices plus all the variables in model 2. RESULTS: A total of 166 new cases of type 2 diabetes were diagnosed. In subjects aged <60 years general obesity and high waist-to-hip ratio (WHR) predicted diabetes in all three models with OR of 2.4 and 2.6 in model 3, respectively, while high waist circumference (WC) lost it association with diabetes in the full model. In subjects aged > or =60 years, however, high WC was the only independent predictor of diabetes in model 3 with OR of 3.8 while high WHR and general obesity predicted diabetes in models 1 and 2, respectively. CONCLUSION: General obesity and high WHR in Iranian subjects aged <60 years and high WC in older ones are the important predictors of type 2 diabetes.     

Urgency of reassessment of role of obesity indices for metabolic risks

The definition of metabolic syndrome places emphasis on health care for persons at risk. However, whether an obesity index should be a mandatory component of the definition and whether obesity indices can identify metabolic risks satisfactorily require further exploration. Therefore, we investigated the effectiveness of various anthropometric obesity indices in identifying the clustering of 2 or more American Heart Association (AHA)/National Heart, Lung, and Blood Institute (NHLBI)/International Diabetes Federation (IDF)-defined metabolic risk factors (hypertension, hyperglycemia, hypertriglyceridemia, and low high-density lipoprotein cholesterol) for metabolic syndrome and those of other metabolic risk factors (high low-density lipoprotein cholesterol, hyperuricemia, high γ-glutamyltransferase, fatty liver) in 6141 men and 2137 women. The anthropometric indices were the following: (1) for both sexes—various levels of waist-to-height ratio (WHtR) including 0.5 and body mass index (BMI) of 23 and 25 kg/m²; (2) for men and women individually—waist circumference (W) 90/80 cm (AHA/NHLBI/IDF for ethnic groups), W 85/90 cm (Japan Society for the Study of Obesity), and combined W and BMI: W 85/90 cm and/or BMI 25 kg/m² (Japanese government). The results showed the following: (1) The optimal value for WHtR was 0.5 for AHA/NHLBI/IDF-defined risk factors and approximately 0.5 for other risk factors in both sexes. (2) The sensitivities of various proposed obesity indices for identifying clustering of defined and other risk factors varied between 74.4% (WHtR 0.5) and 36.3% (BMI 25) and between 80.5% (WHtR 0.5) and 43.7% (BMI 25) in men, and varied between 65.6% (WHtR 0.5) and 16.8% (W 90 cm) and between 82.3% (WHtR 0.5) and 28.2% (W 90 cm) in women. Because the sensitivities of many anthropometric indices were very low, a reassessment of the effectiveness of obesity indices in evaluating metabolic risks and especially their suitability as a single mandatory component of metabolic syndrome is urgently needed. However, WHtR 0.5 provides a very useful algorithm for screening persons at risk.     

人体测量学指标与心血管代谢危险因素的相关性研究

目的探讨青岛地区人群体质指数（BMI）、腰围（WC）、腰身比（WSR）、腰臀比（WHR）、臀围（HC）等人体测量学指标与糖尿病、高血压、脂代谢异常等代谢危险因素的相关性。方法利用青岛糖尿病流行病学调查数据库分析BMI、WC、WSR、WHR和HC与血糖、血压、血脂的相关关系;比较受试者工作特征（ROC）曲线对心血管危险因素的敏感性和特异性。结果人体测量学指标与血压、血糖、血脂密切相关;WSR的ROC曲线下面积最大,男性高血压、高血脂、糖尿病的ROC曲线下面积分别为0．73、0．70、0．62,女性分别为0．74、0．74、0．74。结论青岛地区人群人体测量学指标与代谢危险因素关系紧密,可作为评估的简易指标WSR可能是本地区人群评价代谢危险的最佳人体测量学指标。     

Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women

OBJECTIVE: The normal body mass index (BMI) range, as defined by the World Health Organization (WHO), is quite wide, and some people within this range may have excessive central fat accumulation and elevated metabolic risks. We hypothesize that the waist-to-height ratio (W/Ht), an effective index for assessing central fat distribution among Japanese people, can be used to identify subjects who are at higher metabolic risk within the normal as well as the overweight range. METHODS: We investigated: (1). the values of BMI, waist circumference, and W/Ht in 6141 men and 2137 women at various age intervals and calculated gender (female to male) ratios for all these anthropometric indices; (2). the relation between age and each anthropometric index, between age and morbidity index for coronary risk factors (sum of the scores for hyperglycemia, hypertension, hypertriglyceridemia, hypercholesterolemia, and low HDL cholesterol; one point for each condition if present), and between morbidity index for coronary risk factors and each anthropometric index; (3). the distributions of the subjects, using various proposed indices of waist circumference (those suggested by WHO, the Japan Society for the Study of Obesity, and the Asia-Pacific perspective), and our proposed boundary value, W/Ht 0.5, among the WHO categories based on BMI; (4). the metabolic risks (coronary risk factors, hyperuricemia, high gamma-glutamyltransferase, and fatty liver diagnosed by ultrasonography), and exercise habits among normal-weight subjects with W/Ht<0.5 or >or=0.5. RESULTS: (1). For the various anthropometric indices in all age groups, the gender ratio for W/Ht was closest to 1, indicating that a single set of values for W/Ht can be used for men and women. (2). Height correlated negatively with age. Among the anthropometric indices, only W/Ht correlated positively with age for both men and women, while age and all anthropometric indices, except height, correlated positively with the morbidity index for coronary risk factors. For both men and women, the highest correlation coefficient was between W/Ht and the morbidity index for coronary risk factors. (3). Nearly all overweight men and women (BMI>or=25) had W/Ht>or=0.5 (98.5% of men and 97.5% of women). None of the underweight subjects had W/Ht>or=0.5. However, 45.5% of men and 28.3% of women of normal weight (BMI 18.5-<25) had W/Ht>or=0.5. W/Ht, of all the indices investigated, was the best index for signaling metabolic risk in the normal-weight subjects as well as the overweight subjects. (4). Age- and BMI-adjusted odds ratios for multiple metabolic risks, and history of no habitual exercise were significantly higher in normal-weight men and women with W/Ht>or=0.5 than in others of normal weight. CONCLUSIONS: Waist circumference is improved by relating it to height to categorized fat distribution of different genders and ages. W/Ht is a simple and practical anthropometric index to identify higher metabolic risks in normal and overweight Japanese men and women.     

Association between indices of obesity and fasting hyperglycemia in Taiwan

OBJECTIVE: To examine the association of body mass index (BMI), waist-hip ratio (WHR), and waist circumference (WC) with fasting hyperglycemia after adjustment for age, cigarette smoking, and alcohol use. DESIGN: A cross-sectional survey was conducted among individuals visiting four health-screening centers across Taiwan. SUBJECTS: A total of 61 568 subjects (28 734 men and 32 834 women) between 25 and 64 years of age were included. Fasting hyperglycemia was defined as fasting plasma glucose > or =6.1 mmol/l or current diagnosis and use of insulin or hypoglycemic agent. RESULTS: Fasting hyperglycemia was found in 11.0% of men and 8.3% of women. The factors significantly associated with fasting hyperglycemia in men were age, BMI, WHR, and heavy drinking, while for women these factors were age, educational level, BMI, WHR, and heavy smoking. For men, increased risk of fasting hyperglycemia started from age 30 to 34 years, BMI > or =25 kg/m2, and WHR > or =0.82. For women, increased risk of fasting hyperglycemia started from age 35 to 39 years, BMI > or =24 kg/m2, and WHR > or =0.74. WC lost its significance as a predictor of fasting hyperglycemia when WHR included in the model. CONCLUSION: This study found that central obesity and general obesity were both independently associated with increased risk of fasting hyperglycemia in Taiwanese. The relationship between fasting hyperglycemia and central fat accumulation (WHR) begins to appear at levels that would not be regarded as representing obesity in Western populations, suggesting the need to redefine cutoffs for central obesity in this population.     

The relationship between waist circumference and metabolic risk factors: cohorts of European and Chinese descent

Waist circumference (WC) may be the best anthropometric index for identifying individuals at risk for cardiovascular disease (CVD) and diabetes mellitus (DM). The objectives of this study were to determine if the relationship between WC and metabolic risk factors is similar in men and women of Chinese and European descent, and to assess the effect of ethnicity on these relationships. Apparently healthy men and women of Chinese (n = 92) and European (n = 99) descent were recruited from hospital staff and assessed for anthropometric variables and blood pressure (BP), lipids, insulin, and glucose. The study cohort was stratified by sex, and regression analyses were performed with the various metabolic risk factors as the outcome and WC and ethnicity as predictors. Chinese men and women had significantly lower WC than European men and women. Age and metabolic risk factors were similar between the 2 ethnic groups except for BP. Metabolic risk factors significantly correlated with WC within each gender and ethnic cohort. In men, ethnicity was an independent predictor for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and the ratio of TC to high-density lipoprotein cholesterol (HDL-C) after controlling for WC. In women, ethnicity significantly interacted with WC as an independent predictor of TG, TC:HDL-C ratio, insulin, and glucose. As ethnic descent modifies the relationship between WC and metabolic risk factors, current WC targets derived from relationships in European populations are not applicable to Chinese men and women. Therefore, ethnic background should be considered when using WC as a marker of cardiovascular risk.     

Comparison of anthropometric parameters as predictors of serum lipids in premenopausal women

No single anthropometric parameter has yet been generally accepted as being superior to others in assessing the metabolic risk associated with abdominal obesity. To compare waist circumference (WC) with waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), regarding their association with serum lipids, we studied 166 women aged 20 to 48 yr; 53 were obese [body mass index (BMI) 30-39.9 Kg/m2], 50 were overweight (BMI 25-29.9 Kg/m2) and 63 normal weight (BMI 18.5-24.9 Kg/m2). Height, body weight, waist and hip circumferences, total serum cholesterol (Ch), low (LDL) and high density lipoprotein (HDL)-Ch and triglyceride (TG) concentrations were measured. The correlation coefficients between the concentration of serum lipid fractions and each anthropometric parameter did not differ significantly for any lipid variable when WC, WHR and WHtR were compared in the 166 women. The same applied for the obese and the overweight group, whereas in normal weight women there was significant association only between WC and LDL-Ch and between WHR and Ch/HDL-Ch ratio. Stepwise regression analysis showed that the proportion of variance in serum lipids did not change significantly when WHR or WHR+WHtR were added to WC into the regression model (18%, 18% and 18% for Ch; 13%, 18% and 18% for HDL-Ch; 18%, 18% and 12% for LDL-Ch; 35%, 35% and 37% for TG, respectively). These results indicate that WC is the main parameter associated with serum lipid levels and that the ratios studied do not provide additional substantial information in women who need weight management.