Body Size Measurements as Predictors of Type 2 Diabetes in Aboriginal People

OBJECTIVE: To investigate waist circumference, waist-to-hip ratio, body mass index (BMI), weight and hip circumference as risk factors for type 2 diabetes in Aboriginal Australians. DESIGN: Community-based cross-sectional study. SUBJECTS: In total, 915 Australian Aboriginal adults (age: 18-74 y) from a remote Aboriginal community in the Northern Territory of Australia. MEASUREMENTS: Body size measurements included waist circumference, waist-to-hip ratio, BMI, weight and hip circumference. Diabetes status was determined according to medical history and fasting and 2-h postload plasma glucose values. Logistic regression was used to calculate odds ratio for diabetes associated with 1 standard deviation (s.d.) increase in a body size measurement. The areas under the ROC curves of five body size measurements were calculated and compared. RESULTS: Risk of diabetes increased with increasing levels of body size. ORs (95% CI) for diabetes with adjustment for age and sex were 2.16 (1.75, 2.66), 1.80 (1.49, 2.17), 1.41 (1.17, 1.71), 1.81 (1.51, 2.19) and 1.84 (1.50, 2.24) associated with 1 s.d. increase in waist circumference, BMI, weight, waist-to-hip ratio, and hip circumference, respectively. The area under the ROC curve for waist circumference was significantly higher than those for other measurements. CONCLUSION: Waist circumference is the best body size measurement in predicting diabetes in Aboriginal people

Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women

Body fat distribution is, next to overall obesity, an important risk factor for cardiometabolic outcomes in the general population. In particular, visceral adipose tissue (VAT) is strongly associated with cardiometabolic risk factors. Since it is unclear whether body fat distribution is also important in men and women with obesity we investigated the associations between measures of body fat distribution and cardiometabolic risk factors in men and women with obesity.In this cross-sectional analysis of obese men and women (BMI≥30 kg/m2) included in the Netherlands Epidemiology of Obesity Study, waist:hip ratio(WHR), waist circumference, and MRI-based abdominal subcutaneous adipose tissue (aSAT) and VAT were determined. Associations between measures of body fat distribution and presence of ≥1 risk factor, such as hypertension or hypertriglyceridemia, were examined using logistic regression analyses; stratified by sex and adjusted for age, ethnicity, education, tobacco smoking, alcohol consumption, physical activity and depending on the association additionally for total body fat or VAT.We included 2,983 obese individuals (57% women) with a mean age of 56 and standard deviation (SD) of 6 and mean BMI of 34.0 kg/m2 (4.0), after exclusion of individuals with missing values of cardiometabolic risk factors (n = 33). 241 individuals were obese without other cardiometabolic risk factors. In obese women, all measures of body fat distribution except aSAT (OR per SD:0.76, 95%CI: 0.53, 1.10) were associated with having ≥1 cardiometabolic risk factor, of which VAT most strongly associated (5.77; 3.02, 11.01). In obese men, associations of body fat distribution and the presence of cardiometabolic risk factors were attenuated. (e.g. VAT:1.42; 0.84, 2.41).In obese women, but less so in men, measures of body fat distribution, of which VAT most strongly, are associated with cardiometabolic risk factors

Waist circumference and obesity-related abnormalities in French and Cameroonian adults: the role of urbanization and ethnicity.

International audienceOBJECTIVES: To evaluate the effect of urbanization and ethnicity on correlations between waist circumference (WC) and obesity-related cardiovascular risk factors. METHODS: 1471 rural and urban Cameroonians, and 4185 French, from community-based studies, aged > or =25 years, not treated for hypertension, diabetes and dyslipidemia participated in this study. Slopes of obesity-related abnormalities with WC were compared using an interaction term between place of residence and WC. RESULTS: Women in urban Cameroon and men in France had significantly higher WC and BMI relative to their gender counterparts. Urban Cameroonians had higher abdominal adiposity, but lower BP and better metabolic profile than the French. WC was positively associated to all the obesity-related abnormalities in the three sites except to FPG (both genders) and blood lipids (women) in rural Cameroon. A 5 cm larger WC was associated with a higher increment among urban than rural Cameroonians for diastolic blood pressure (DBP) (women, 1.95/0.63 mm Hg; men, 2.56/1.44 mm Hg), HOMA-IR (women, 0.11/0.05), fasting plasma glucose (FPG) (men, 0.09/-0.01 mmol/l) and triglycerides (women, 0.06/0.01 mmol/l; men, 0.09/0.03 mmol/l), all P<0.05. A 5 cm larger WC was associated with a higher increment among urban Cameroon than French people for DBP (women, 1.95/1.28 mm Hg, P<0.01; men, 2.56/1.49 mm Hg, P<0.01), but with a lower increment for HOMA-IR (women, 0.11/0.14, P<0.05), FPG (women, 0.05/0.09 mmol/l), total cholesterol (women, 0.07/0.11 mmol/l; men, 0.10/0.13 mmol/l) and triglycerides (women, 0.06/0.11 mmol/l; men, 0.09/0.13 mmol/l) all P<0.05. CONCLUSION: Ethnicity and urbanization modify the association of WC with obesity-related metabolic abnormalities. WC cutoff points derived from Caucasians may not be appropriate for black Sub-Saharan Africans

Fat distribution in men of different waist girth, fitness level and exercise habit

Background: The risk of chronic disease is lower in obese men who are fit and active than obese men who are unfit and inactive. Methods/Objectives: Magnetic resonance imaging and spectroscopy were used to assess total and regional adipose tissue in 13 men who were slim, fit and active (the slim-fit), in 12 men who were slim, unfit and inactive (the slim-unfit), in 13 men who were fat, fit and active (the fat-fit) and in 12 men who were fat, unfit and inactive (the fat-unfit), in order to investigate the hypothesis that visceral fat and liver fat are lower in the fat-fit than the fat-unfit. Waist girth was used to distinguish slim men (less than or equal to90 cm) and fat men (greater than or equal to100 cm). Maximal oxygen consumption was used to identify fit men (above average for age) and unfit men (average or below for age). Fit men reported at least 60 min of vigorous aerobic activity per week and unfit men reported no regular moderate or vigorous activity in the last 2 years. Results: Total fat was not significantly different in the slim-fit and the slim unfit, but the proportion of internal fat was significantly lower (P<0.05) and the proportion of visceral fat was almost significantly lower (P=0.06) in the slim-fit than all other groups. Total fat was not significantly different in the fat-fit and the fat-unfit, but visceral fat and liver fat were significantly lower in the fat-fit than the fat-unfit (P<0.01). Waist girth and years of exercise explained 84% of the variance in total fat, waist girth and maximal oxygen consumption explained 70% of the variance in visceral fat, and waist girth alone explained 25% of the variance in liver fat. Conclusion: Chronic disease risk may be lower because visceral fat and liver fat are lower in men who are fat, fit and active