TL;DR: It is suggested from data that waist circumference values above approximately 100 cm, or abdominal sagittal diameter values > 25 cm are most likely to be associated with potentially "atherogenic" metabolic disturbances.
Abstract: The amount of abdominal visceral adipose tissue measured by computed tomography is a critical correlate of the potentially "atherogenic" metabolic disturbances associated with abdominal obesity. In this study conducted in samples of 81 men and 70 women, data are presented on the anthropometric correlates of abdominal visceral adipose tissue accumulation and related cardiovascular disease risk factors (triglyceride and high-density lipoprotein cholesterol levels, fasting and postglucose insulin and glucose levels). Results indicate that the waist circumference and the abdominal sagittal diameter are better correlates of abdominal visceral adipose tissue accumulation than the commonly used waist-to-hip ratio (WHR). In women, the waist circumference and the abdominal sagittal diameter also appeared more closely related to the metabolic variables than the WHR. When the samples were divided into quintiles of waist circumference, WHR or abdominal sagittal diameter, it was noted that increasing values of waist circumference and abdominal sagittal diameter were more consistently associated with increases in fasting and postglucose insulin levels than increasing values of WHR, especially in women. These findings suggest that the waist circumference or the abdominal sagittal diameter, rather than the WHR, should be used as indexes of abdominal visceral adipose tissue deposition and in the assessment of cardiovascular risk. It is suggested from these data that waist circumference values above approximately 100 cm, or abdominal sagittal diameter values > 25 cm are most likely to be associated with potentially "atherogenic" metabolic disturbances.
TL;DR: Test the hypothesis that a single measurement, waist circumference, might be used to identify people at health risk both from being overweight and from having a central fat distribution and found it could be used in health promotion programmes to identify individuals who should seek and be offered weight management.
Abstract: Objective : To test the hypothesis that a single measurement, waist circumference, might be used to identify people at health risk both from being overweight and from having a central fat distribution. Design : A community derived random sample of men and women and a second, validation sample. Setting : North Glasgow. Subjects : 904 men and 1014 women (first sample); 86 men and 202 women (validation sample). Main outcome measures : Waist circumference, body mass index, waist:hip ratio. Results : Waist circumference >/=94 cm for men and >/=80 cm for women identified subjects with high body mass index (>/=25 kg/m 2 ) and those with lower body mass index but high waist:hip ratio (>/=0.95 for men, >/=0.80 women) with a sensitivity of >96% and specificity >97.5%. Waist circumference >/=102 cm for men or >/=88 cm for women identified subjects with body mass index >/=30 and those with lower body mass index but high waist:hip ratio with a sensitivity of >96% and specificity >98%, with only about 2% of the sample being misclassified. Conclusions : Waist circumference could be used in health promotion programmes to identify individuals who should seek and be offered weight management. Men with waist circumference >/=94 cm and women with waist circumference >/=80 cm should gain no further weight; men with waist circumference >/=102 cm and women with waist circumference >/=88 cm should reduce their weight.
TL;DR: It is recommended that assessments of nutritional status be made on the basis of areas of fat and areas of muscle rather than direct skinfold thickness and arm circumference, and new norms should replace those currently in use.
TL;DR: A meta-analysis on the relation between BMI, waist circumference and risk factors of related chronic diseases in China found the prevalence of hypertension, diabetes, dyslipidemia and clustering of risk factors increased with increasing levels of BMI or waist circumference.
TL;DR: Wang et al. as mentioned in this paper conducted a meta-analysis on the relationship between BMI, waist circumference and risk factors of related chronic diseases (e.g., high diabetes, diabetes mellitus, and lipoprotein disorders).
Abstract: For prevention of obesity in the Chinese population, it is necessary to define the optimal range of healthy weight and the appropriate cut-off points of body mass index (BMI) and waist circumference for Chinese adults. The Working Group on Obesity in China under the support of the International Life Sciences Institute Focal Point in China organized a meta-analysis on the relationship between BMI, waist circumference and risk factors of related chronic diseases (e.g., high diabetes, diabetes mellitus, and lipoprotein disorders). Thirteen population studies in all met the criteria for enrolment, with data of 239 972 adults (20−70 years of age) surveyed in the 1990s. Data on waist circumference was available for 111 411 persons, and data on serum lipids and glucose were available for more than 80 000. The study populations were located in 21 provinces, municipalities and autonomous regions in mainland China as well as in Taiwan. Each enrolled study provided data according to a common protocol and uniform format. The Center for Data Management in the Department of Epidemiology, Fu Wai Hospital, was responsible for the statistical analysis. The prevalence of hypertension, diabetes, dyslipidemia and clustering of risk factors all increased with increasing levels of BMI or waist circumference. A BMI of 24 with best sensitivity and specificity for identification of the risk factors was recommended as the cut-off point for overweight; a BMI of 28, which may identify the risk factors with specificity around 90%, was recommended as the cut-off point for obesity. A waist circumference over 85 cm for men and over 80 cm for women were recommended as the cut-off points for central obesity. Analysis of a population-attributable risk percentage illustrated that reducing the BMI to the normal range (<24) could prevent 45−50% of the clustering of risk factors. Treatment of obese persons (BMI = 28) with drugs could prevent 15−17% of clustering of risk factors. When waist circumference is controlled at under 85 cm for men and under 80 cm for women, it could prevent 47−58% of clustering of risk factors. Based on these guidelines, a classification of overweight and obesity for Chinese adults is recommended.