Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men

BACKGROUND: Obesity is a strong risk factor for type 2 diabetes. However, few studies have compared the predictive power of overall obesity with that of central obesity. The cutoffs for waist circumference (WC) and waist-to-hip ratio (WHR) as measures of abdominal adiposity remain controversial. OBJECTIVE: The objective was to compare body mass index (BMI), WC, and WHR in predicting type 2 diabetes. DESIGN: A prospective cohort study (Health Professionals Follow-Up Study) of 27 270 men was conducted. WC, WHR, and BMI were assessed at baseline. Covariates and potential confounders were assessed repeatedly during the follow-up. RESULTS: During 13 y of follow-up, we documented 884 incident type 2 diabetes cases. Age-adjusted relative risks (RRs) across quintiles of WC were 1.0, 2.0, 2.7, 5.0, and 12.0; those of WHR were 1.0, 2.1, 2.7, 3.6, and 6.9; and those of BMI were 1.0, 1.1, 1.8, 2.9, and 7.9 (P for trend < 0.0001 for all). Multivariate adjustment for diabetes risk factors only slightly attenuated these RRs. Adjustment for BMI substantially attenuated RRs for both WC and WHR. The receiver operator characteristic curve analysis indicated that WC and BMI were similar and were better than WHR in predicting type 2 diabetes. The cumulative proportions of type 2 diabetes cases identified according to medians of BMI (>/=24.8), WC (>/=94 cm), and WHR (>/=0.94) were 82.5%, 83.6%, and 74.1%, respectively. The corresponding proportions were 78.9%, 50.5%, and 65.7% according to the recommended cutoffs. CONCLUSIONS: Both overall and abdominal adiposity strongly and independently predict risk of type 2 diabetes. WC is a better predictor than is WHR. The currently recommended cutoff for WC of 102 cm for men may need to be reevaluated; a lower cutoff may be more appropriate.     

Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices

PURPOSE: To determine which is the best anthropometric index among body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and waist to stature ratio (WSR) in relation to cardiovascular risk factors. METHODS: A representative sample of 2895 Hong Kong Chinese aged 25 to 74 years received medical examinations in 1995 and 1996. Anthropometric indices and cardiovascular risk factors in blood were measured, and partial correlation and Receiver Operator Characteristic (ROC) curves were used in analysis. RESULTS: Among 11 cardiovascular risk factors in partial correlation analysis, including ties WSR had the highest r in 6 in men, and 5 in women; followed by WC with 4 in men and 6 in women. In ROC analyses of 21 risk factors and health conditions, the area under curve (AUC) of WSR was the largest for most (13 of 21) factors in men and 10 in women; followed by WHR with 14 in women but only 5 in men. The optimal WSR cutoff value was 0.48 for both men and women. CONCLUSIONS: WSR is the best simple anthropometric index in predicting a wide range of cardiovascular risk factors and related health conditions. A simple message that one's waist circumference should not exceed half the stature is recommended for the public.     

Obesity and cardiovascular disease risk among Africans residing in Europe and Africa: the RODAM study

BackgroundThe association between anthropometric variables and cardiovascular disease (CVD) risk among Africans is unclear. We examined the discriminative ability of anthropometric variables and estimate cutoffs for predicting CVD risk among Africans.MethodsThe Research on Obesity and Diabetes among African Migrants (RODAM) study was a multisite cross-sectional study of Africans in Ghana and Europe. We calculated AHA/ACC Pooled Cohort Equations (PCE) scores for 3661 participants to ascertain CVD risk, and compared a body shape index (ABSI), body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), Relative Fat Mass (RFM), and Waist to Height Ratio (WHtR). Logistic regression and receiver operating curve analyses were performed to derive cutoffs for identifying high predicted CVD risk (PCE score ≥7.5%).ResultsAmong men, WC (adjusted Odds Ratio (aOR): 2.25, 95% CI; 1:50–3:37) was strongly associated with CVD risk. Among women, WC (aOR: 1.69, 95% CI: 1:33–2:14) also displayed the strongest association with CVD risk in the BMI-adjusted model but WHR displayed the strongest fit. All variables were superior discriminators of high CVD risk in men (c-statistic range: 0.887–0.891) than women (c-statistic range: 0.677–0.707). The optimal WC cutoff for identifying participants at high CVD risk was 89 cm among men and identified the most cases (64%). Among women, the recommended WC cutoff of 94 cm or WHR cutoff of 0.90 identified the most cases (92%).ConclusionsAnthropometric variables were stronger discriminators of high CVD risk in African men than women. Greater WC was associated with high CVD risk in men while WHR and WC were associated with high CVD risk in women.     

The quantitative relationship between "the metabolic syndrome" and abdominal obesity in women

Abdominal obesity is closely associated with the presence of metabolic risk factors and elevated blood pressure in selected materials. This has, however, never been analyzed quantitatively in a non-selected cohort. Therefore, in a population-based study of 1462 Swedish women, four selected risk factors for non-insulin dependent diabetes mellitus (NIDDM) and cardiovascular disease (CVD), serum triglycerides, blood glucose and systolic blood pressure and also serum insulin in a subsample, were examined in relation to regional and overall obesity. This was performed by subdividing the age adjusted sample into quintiles of waist to hip circumference ratio (WHR) or body mass index (BMI) as indicators of abdominal distribution of body fat and overall obesity, respectively. The risk factors serum triglycerides, blood glucose, blood pressure and serum insulin were defined as being elevated when the value of the risk factor was higher than the mean plus one or two standard deviations of the total age-adjusted cohort. The percentage of women with elevated risk factors according to this definition was then calculated in each of these quintiles. Having a risk factor which was elevated according to the definition was significantly correlated to WHR and BMI (p<0.0001) independent of age. The presence of one or several of these elevated risk factors was clearly higher than expected in the fifth quintile of WHR, and to a lesser extent in the fifth quintile of BMI while this was not the case in the lower quintiles of WHR and BMI. When studying the combination of the WHR and BMI, the presence of risk factors higher than the mean plus two standard deviations increased gradually with WHR in all five quintiles of BMI. A significant association was observed between WHR and presence of risk factors independent of BMI (p<0.0001) but BMI did not remain significantly correlated to presence of risk factors when controlling for WHR (p=0.09). These results indicate that abdominal distribution of body fat in women independently of general obesity is closely associated with metabolic risk factors including elevated blood pressure, a metabolic syndrome with increased risk for cardiovascular disease and non-insulin dependent diabetes mellitus.     

Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular disease risk factors

BACKGROUND: Waist circumferences (WCs) in white men and women that represent a risk of cardiovascular disease (CVD) equivalent to that of body mass indexes (BMIs; in kg/m2) of 25 and 30 have been identified. However, WC cutoffs for other race-ethnicity groups remain unknown. OBJECTIVE: The objective was to determine WC cutoffs for CVD risk in non-Hispanic blacks (blacks), Mexican Americans (MA), and non-Hispanic whites (whites). DESIGN: Data from 10,969 participants in the third National Health and Nutrition Examination Survey (1988-1994) were analyzed. The presence of CVD risk factors was the main outcome. Sex- and race-ethnicity-specific WC cutoffs were determined with logistic regression models by linking WC cutoffs with equivalent CVD risk based on BMI cutoffs for overweight and obesity. WC cutoffs for metabolic syndrome risk factors were similarly calculated. RESULTS: Correlations between WC and lipid profiles, blood pressure, and glucose were significantly higher than those between BMI and these same variables in all groups. The WC cutoffs were approximately 5-6 cm greater for white than for black men at BMIs between 25 and 40, and those for MA were intermediate. In women, few differences in WC cutoffs were observed between the groups. Simplified WC cutoffs corresponding to BMIs of 25 and 30, largely independent of age, for the 3 race-ethnicity groups were 89 and 101 cm for men and 83 and 94 cm for women. Minimal distances in receiver operating characteristic curves tended to be shorter when WC cutoffs rather than BMI cutoffs were used. CONCLUSIONS: WC is a better indicator of CVD risk than is BMI in the 3 race-ethnicity groups studied. The proposed WC cutoffs are more sensitive than are BMI cutoffs in predicting CVD risk.     

Obesity in the elderly and its relationship with cardiovascular risk factors in Taiwan

OBJECTIVES: The obese elderly are at increased risk of mortality, morbidity, and functional disability. In this study, we examined the prevalence of obesity and relationship between various anthropometric indices (AI) and cardiovascular disease (CVD) risk factors in the elderly. RESEARCH METHODS AND PROCEDURES: A stratified multistage clustered sampling scheme was used in the Elderly Nutrition and Health Survey in Taiwan during 1999 to 2000. 2432 non-institutionalized subjects (age, 72.8+/-9.4 years; BMI, 23.6+/-6.4 kg/m2) were recruited. The receiver operating characteristic analysis was used to compare predictive validity of CVD risk factors among various AI, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). RESULTS: The prevalence of obesity was 29.0% in men and 36.8% in women by obesity criteria for Asians (BMI>or=25 kg/m2) and 13.3% in men and 21.0% in women by the Taiwanese definition (BMI>or=27 kg/m2). Odds ratios of acquiring various CVD risk factors increased significantly with increment of WC, WHR, and BMI. The areas under the curve predicting metabolic syndrome were all <0.8. The cut-off values of WC corresponding to the highest sensitivity and the highest specificity in predicting various CVD risk factors were 86.2-88.0 cm in men and 82.0-84.0 cm in women, respectively. DISCUSSION: Obesity was prevalent in the Taiwanese elderly. WC was related to CVD risk factors to a greater extent than BMI and WHR. However, none of them alone was a good screening tool for CVD risk factors. Therefore, how to apply AI prudently to screen elderly for CVD risk factors needs further research.     

Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population

ABSTRACT: BACKGROUND: Obesity has been shown to be a prognostic indicator of type 2 diabetes (T2D); however, the power of different obesity indicators in the detection of T2D remains controversial. This study evaluates the detecting power of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHTR) for the presence of T2D in undiagnosed diabetics among the Chinese population. METHODS: Individuals were selected from an ongoing large-scale population-based Beijing Community Pre-Diabetes (BCPD) study cohort. The oral glucose tolerance tests (OGTT) were performed to diagnose diabetes. A total of 220 new cases of T2D and 1,868 normal blood glucose subjects were analyzed. ROC curve analyses were used to compare the association of different obesity indicators with T2D and determine the optimal cut-off points of the best predictor for identifying T2D in men and women. RESULTS: All indicators positively correlated with presence of T2D in both men and women. In women, WC, WHR and WHTR were similar, but were better in identifying T2D when compared to BMI (P < 0.0001, P=0.0016 and P=0.0001, respectively). In men, WC, WHTR and BMI were similar, but WC and WHTR were better than WHR (P=0.0234, P=0.0101, respectively). For women, 86 cm was the optimal WC cut-off point, and its sensitivity and specificity were 0.714 and 0.616; for men, the optimal cut-off point was 90 cm, and its sensitivity and specificity were 0.722 and 0.571. CONCLUSION: Compared with BMI, WHR and WHTR, WC is a simple and accurate measure for predicting T2D in the Chinese population.     

简易体脂参数估测腹内型肥胖的可靠性评价

目的：评价体重指数（BMI）、腰围（WC）、腰臀比（WHR）估测腹内型肥胖的最佳临界点及敏感度、特异度。方法：应用核磁共振（MRI）对690名受试者（男305人，女385人）进行腹内脂肪（VA）测量，同时测量BMI、WC、WHR。以受试者工作特性（ROC）曲线评价简易体脂参数对腹内型肥胖的诊断价值。结果：①经MRI诊断，超重／肥胖者中61．7％，正常体重者中14．2％呈腹内型肥胖（VA≥100cm^2）；②BMI、WC、WHR与腹内脂肪面积呈显著正相关，尤以WC的相关性最好;③简易体脂参数估测腹内脂肪积聚的最佳切割点为BMI：26kg/m^2,WC:90cm,WHR:0.93;④BMI≥28kg/m^2、WC≥95cm时，95％的男性及90％左右的女性呈腹内型肥胖。结论：BMI、WC及WHR都可估测腹内型肥胖，但以腰围的准确率稍高。     

Body fat distribution and risk of type 2 diabetes in the general population: are there differences between men and women? The MONICA/KORA Augsburg cohort study

BACKGROUND: It remains controversial whether body mass index (BMI), waist circumference (WC), or waist-hip ratio (WHR) is a better risk predictor of type 2 diabetes. OBJECTIVE: The objective was to examine the sex-specific relevance of WC, WHR, and BMI to the development of type 2 diabetes. DESIGN: The prospective population-based cohort study was based on 3055 men and 2957 women aged 35-74 y who participated in the second (1989-1990) or third (1994-1995) MONICA (Monitoring Trends and Determinants on Cardiovascular Diseases) Augsburg survey. The subjects were free of diabetes at baseline. Hazard ratios (HRs) were estimated from Cox proportional hazards models. RESULTS: During a mean follow-up of 9.2 y, 243 cases of incident type 2 diabetes occurred in men and 158 occurred in women. Multivariable-adjusted HRs across quartiles of BMI were 1.0, 1.37, 2.08, and 4.15 in men and 1.0, 3.77, 4.95, and 10.58 in women; those of WC were 1.0, 1.15, 1.57, and 3.40 in men and 1.0, 3.21, 3.98, and 10.70 in women; those of WHR were 1.0, 1.14, 1.80, and 2.84 in men and 1.0, 0.82, 2.06, and 3.51 in women. In joint analyses, the highest risk was observed in men and women with a high BMI in combination with a high WC and a high WHR. CONCLUSIONS: Both overall and abdominal adiposity were strongly related to the development of type 2 diabetes. Because there was an additive effect of overall and abdominal obesity on risk prediction, WC should be measured in addition to BMI to assess the risk of type 2 diabetes in both sexes.     

Prediction of metabolic syndrome among postmenopausal Ghanaian women using obesity and atherogenic markers

ABSTRACT: BACKGROUND: Metabolic syndrome (MetS) is an important health problem which puts individuals at risk for cardiovascular diseases and type 2 diabetes as well as obesity-related cancers such as colon and renal cell in men, and endometrial and oesophageal in women. OBJECTIVE: This study was aimed at examining how obesity indicators and related determinants influence metabolic syndrome, and how the factors can be used to predict the syndrome and its cut-offs in postmenopausal Ghanaian women. METHODS: Two hundred and fifty (250) Ghanaian subjects were involved in the study with one hundred and forty-three (143) being premenopausal women and one hundred and seven (107) postmenopausal women. The influence of traditional metabolic risk factors including high blood pressure, dyslipidemia and glucose intolerance on obesity and atherogenic indices i.e. body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), Waist-to-thigh ratio (WTR), waist-to-height ratio (WHtR), high density lipoprotein cholesterol to total cholesterol ratio (HDL-C/TC), high density lipoprotein cholesterol to low density lipoprotein ratio (HDL-C/LDL-C) and triglyceride to high density lipoprotein cholesterol ratio (TG/HDL-C) were identified according to the Harmonization (H_MS) criterion. RESULTS: The most significant anthropometric marker that significantly influence metabolic risk factors among the pre- and postmenopausal women was waist-to-hip ratio (premenopausal: p- 0.004, 0.026 and 0.002 for systolic blood pressure (SBP), fasting blood glucose (FBG) and HDL-C; postmenopausal: p-0.012, 0.048, 0.007 and 0.0061 for diastolic blood pressure (DBP), FBG, triglyceride (TG) and high density lipoprotein cholesterol (HDL-C) respectively). Using the receiver operating characteristic (ROC) analysis, the area under the curve for WC, WHR, TG/HDL-C and HDL-C/TC among postmenopausal women were estimated at 0.6, 0.6, 0.8 and 0.8 respectively. The appropriate cut-off values for WC, WHR, TG/HDL-C and HDL-C/TC that predicted the presence of metabolic syndrome were 80.5 cm, 0.84, 0.61 and 0.34 respectively. CONCLUSION: The presence of metabolic syndrome among Ghanaian postmenopausal women can be predicted using WC, WHR, TG/HDL-C and HDL-C/TC.     

成人代谢综合征适宜体质指数切点的研究

目的:探讨成人诊断代谢综合征的适宜体质指数切点。方法:以2008-2009年南京地区参加健康体检成人27822人为研究对象,测量身高、体重、血压,采集空腹静脉血测定葡萄糖、血甘油三酯、高密度脂蛋白胆固醇,通过对体质指数和各代谢异常危险因素的分析,建立受试者工作特征曲线(ROC曲线),探讨适宜的体质指数诊断切点。结果:男性出现代谢异常危险因素的比例高于女性;根据ROC曲线分析,在男性BMI为24.32、女性BMI为23.06时,预测≥2项代谢异常危险因素的Youden指数最大。结论:南京地区成人代谢综合征的体质指数切点,以男性BMI=24,女性BMI=23比较合适。     

中国成年人代谢异常相关的体质指数和腰围切点研究

目的 研究中国成年人BMI和腰围与各项代谢危险因素之间的相关性,确定超重肥胖的适宜BMI和腰围切点。方法 中国慢性病前瞻性研究于2004-2008年进行基线调查,并于2013-2014年随机抽取了5%的研究对象进行第2次重复调查。本研究剔除体格指标或代谢危险因素变量缺失或极端值、自报患有恶性肿瘤者,基线纳入501 201人,第2次重复调查纳入19 201人。比较不同BMI和腰围下代谢危险因素异常率,通过受试者工作特征（ROC）曲线分析,确定预测高血压、糖尿病、血脂异常和危险因素聚集的适宜BMI和腰围切点。结果 随BMI或腰围的增加,高血压、糖尿病、血脂异常和危险因素聚集患病率均呈现上升的趋势。依据正确指数最大的原则选取BMI超重切点和腰围切点,男性和女性BMI超重切点均接近24.0 kg/m²,男性腰围切点接近85 cm,女性腰围切点约为80~85 cm。男性和女性中,检出各项代谢危险因素特异度达到90%的BMI切点范围为27.0~28.9 kg/m²,多数接近28.0 kg/m²,以28.0 kg/m²作为肥胖切点。结论 本研究在更新开展的大样本调查中进一步验证了中国肥胖问题工作组2002年推荐的超重和肥胖标准,超重和肥胖的BMI切点分别为24.0和28.0 kg/m²;中心性肥胖的腰围适宜切点男性为85 cm,女性为80~85 cm。     

Waist-hip ratio and waist circumference associated with body mass index in a study with schoolchildren

The objectives of this study were to determine the percentile levels of the anthropometric indices body mass index (BMI), waist-hip ratio (WHR), and waist circumference (WC) and to verify possible correlations among theses indices in schoolchildren registered at the State Institute of Education, Florianópolis, Santa Catarina State, Brazil. A total of 419 children ages 7 to 9 years were investigated: 215 (51.3%) boys and 204 (48.7%) girls. BMI, WHR, and WC were higher for boys than for girls. However, the differences were only statistically significant for WHR and WC. Prevalence rates were 17.9% for overweight and 6.7% for obesity. The anthropometric indices with the highest correlation were BMI and WC (r = 0.87 and p < 0.01). For overweight, BMI and WC also presented the strongest correlation (r = 0.74). For obesity, WHR and WC showed the best correlation (r = 0.54).     

Measures of adiposity in the identification of metabolic abnormalities in elderly men

BACKGROUND: Body mass index (BMI; in kg/m(2)) is considered a poor indicator of overall and abdominal obesity in the elderly. OBJECTIVES: Our goal was to determine which simple anthropometric measurements [BMI, waist-to-hip ratio (WHR), waist circumference (WC), percentage body fat (%BF), or fat mass (FM)] are most closely associated with metabolic risk factors and insulin resistance in elderly men. DESIGN: This was a cross-sectional study of 2924 men aged 60-79 y with no history of coronary heart disease, stroke, or diabetes who were drawn from general practices in 24 British towns. RESULTS: BMI and WC were the measures most strongly associated with the metabolic syndrome (>/=3 of the following: hypertension, low HDL cholesterol, high triacylglycerols, or high blood glucose) and insulin resistance. For a 1-SD increase in BMI, WC, WHR, %BF, and FM, the odds ratios (95% CIs) of having the metabolic syndrome after adjustment for age, socioeconomic status, smoking status, and physical activity were as follows: BMI, 1.61 (1.44, 1.79); WC, 1.65 (1.48, 1.81); WHR, 1.49 (1.34, 1.66); %BF, 1.41 (1.25, 1.59); and FM, 1.53 (1.38, 1.70). For insulin resistance, the odds ratios (95% CIs) were as follows: 2.48 (2.22, 2.77), 2.46 (2.19, 2.65), 1.75 (1.59, 1.93), 1.79 (1.60, 2.00), and 2.10 (1.88, 2.34), respectively. In normal-weight (BMI < 25) and overweight (BMI 25-29.9) men, the presence of the metabolic syndrome and insulin resistance increased with increasing WC; this did not occur in obese men. CONCLUSIONS: BMI and WC are the simple measures of adiposity most strongly associated with metabolic abnormalities in elderly men. Our findings suggest that WC can be used as a complementary measurement to identify health risks in normal-weight and overweight elderly persons.     

Weight, shape, and mortality risk in older persons: elevated waist-hip ratio, not high body mass index, is associated with a greater risk of death

BACKGROUND: Guidelines for optimal weight in older persons are limited by uncertainty about the ideal body mass index (BMI) or the usefulness of alternative anthropometric measures. OBJECTIVE: We investigated the association of BMI (in kg/m(2)), waist circumference, and waist-hip ratio (WHR) with mortality and cause-specific mortality. DESIGN: Subjects aged >/=75 y (n = 14 833) from 53 family practices in the United Kingdom underwent a health assessment that included measurement of BMI and waist and hip circumferences; they also were followed up for mortality. RESULTS: During a median follow-up of 5.9 y, 6649 subjects died (46% of circulatory causes). In nonsmoking men and women (90% of the cohort), compared with the lowest quintile of BMI (<23 in men and <22.3 in women), adjusted hazard ratios (HRs) for mortality were <1 for all other quintiles of BMI (P for trend = 0.0003 and 0.0001 in men and women, respectively). Increasing WHR was associated with increasing HRs in men and women (P for trend = 0.008 and 0.0002, respectively). BMI was not associated with circulatory mortality in men (P for trend = 0.667) and was negatively associated in women (P for trend = 0.004). WHR was positively related to circulatory mortality in both men and women (P for trend = 0.001 and 0.005, respectively). Waist circumference was not associated with all-cause or circulatory mortality. CONCLUSIONS: Current guidelines for BMI-based risk categories overestimate risks due to excess weight in persons aged >/=75 y. Increased mortality risk is more clearly indicated for relative abdominal obesity as measured by high WHR.     

中国成年人体质指数和腰围与高血压关系的四年随访研究

目的探讨中国成年人体质指数(BMI)和腰围(WC)的增加与高血压发病危险的关系。方法利用“中国居民健康与营养调查”资料,以4552例18~60岁参加2000年调查、当时无高血压等慢性病并且2004年调查被随访到者为研究对象,考察基线BMI和WC对高血压的预测作用,以及BMI和WC4年间的变化与高血压发病之间的关系。结果男性和女性随访4年高血压发病率分别为20.01%和13.52%。随着基线肥胖程度的增加,高血压的发病危险增加。与BMI和WC均不肥胖者相比,BMI超重/肥胖并且WC肥胖者发生高血压的危险最高(男性,RR=2.840,95%CI:2.139~3.771;女性,RR=2.734,95%CI:2.050~3.647)。调整了其它协变量后,4年中BMI每增加一个单位,男性和女性患高血压的危险分别增加0.141和0.109倍;WC每增加1cm,男性和女性患高血压的危险分别增加0.038和0.035倍。结论体质指数和腰围的增加均能增加高血压发病的危险,体质指数和腰围联合使用可增强对高血压发病的预测作用。     

Gender differences in obesogenic behaviour, socioeconomic and metabolic factors in a population-based sample of Iranians: the IHHP study

This study investigated the gender differences in association of some behavioural and socioeconomic factors with obesity indices in a population-based sample of 12,514 Iranian adults. The mean body mass index (BMI), waist circumference (WC), and the waist-to-hip ratio (WHR) were significantly higher in women than in men. Current and passive smoking had an inverse association with BMI among males whereas current smoking, transportation by a private car, and longer duration of watching television (TV) had a positive association with BMI among females. Current and passive smoking, cycling, and Global Dietary Index (GDI) had an inverse association with WC among males. Higher consumption of fruits and vegetables, current and passive smoking, duration of daily sleep, and GDI had an inverse association with WC among females. Using a private car for transportation had a significant positive association with WHR among both males and females. Living in an urban area, being married, and having a higher education level increased the odds ratio of obesity among both the genders. Non-manual work also increased this risk among males whereas watching TV and current smoking increased this risk among females. Such gender differences should be considered for culturally-appropriate interventional strategies to be implemented at the population level for tackling obesity and associated cardiometabolic risk factors.     

Diagnostic value of anthropometric indices for initial stage of atherosclerosis in adult women

Excess body weight is a cardiovascular risk factor. The relationship between anthropometric indices and cardiovascular health is not completely understood. Carotid Intima-Media Thickness (CIMT) is a subclinical marker of atherosclerosis. This study aimed to investigate the best anthropometric obesity indicator for diagnosis of initial stage of atherosclerosis by CIMT. This cross-sectional study included 100 adult women, aged 18-50 years. Anthropometric indices were measured with standard protocol and CIMT was measured by non-invasive ultrasound. Receiver Operating Characteristics (ROC) curve analysis was carried out to determine the optimal cut-off values of anthropometric indices, and the best indices for atherosclerosis diagnosis. On ROC curve analysis the suggested appropriate cut-offs of waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), body mass index (BMI) and percentage body fat (%BF) were 96 cm, 0.86, 0.64, 31.29 kg/m2 and 30.42%, respectively. The area under the ROC curve of BMI (AUC=0.74, 95%CI=0.62-0.86) and WHtR (AUC=0.74, 95%CI=0.63-0.85) were greater than other anthropometric indices. The AUC for WHR was the lowest among the studied obesity indices AUC=0.68 (95% CI=0.54-0.81). In our study, WHtR and BMI were the best diagnostic parameters of initial stage of atherosclerosis while WHR was the worst based on AUC.     

脂质蓄积指数和体重指数与糖尿病关系比较的前瞻性研究

目的 探讨基线脂质蓄积指数(LAP)与体重指数(BMI)不同水平与随访糖尿病(DM)发病的关系.方法 运用前瞻性研究方法 ,以江苏省多代谢异常和代谢综合征(MS)防治队列研究人群为研究对象,分析并比较基线LAP和BMI不同水平与DM的关系,计算LAP、BMI、腰围(WC)、腰臀比(WHR)对预测随访DM的ROC曲线下面积.结果与BMI相比,不论男女DM发病人数及累计患病率随LAP水平增高而增加的趋势更为明显;调整年龄、DM一般危险因素后,相对危险度(RR)分别随BMI水平和LAP水平增加而增高,但后者更具有统计学意义(P<0.05);4种肥胖指标中,预测随访DM的ROC曲线下面积从大到小依次为LAP、WHR、WC、BMI.结论 高LAP比高BMI更容易导致DM;相对于体重增加,DM的形成可能与体内脂质蓄积关系更为密切.