Fat distribution, physical activity, and cardiovascular risk factors.

The purpose of this study was to report the relationship between fat distribution, physical activity (PA), and cardiovascular disease (CVD) risk factors. Percent fat, computed tomography intra-abdominal adipose tissue (IAF), anthropometrics, Baecke activity questionnaire, and CVD risk (blood pressure, cholesterol, HDL, HDL2, HDL3, IDL, LDL, VLDL, and triglycerides) were evaluated in 137 men 30-71 yr old. IAF was consistently more highly related to CVD risk than other fat distribution variables including percent fat and waist:hip ratio (r = 0.3-0.45). IAF was significantly related to CVD risk after adjusting for other fat distribution variables. With the exception of the sum of biceps, triceps, thigh, and calf skinfolds (peripheral skinfolds), which was negatively related to CVD risk, no other fat distribution variable had consistent significant partial correlations with CVD risk. PA was related to IAF after adjusting for peripheral skinfolds, but PA was not related to peripheral skinfolds after adjusting for IAF, indicating more active men have relatively low IAF. IAF was related to CVD risk after adjusting for PA, but PA was not related to CVD risk after adjusting for IAF. These results indicate that IAF is directly related to CVD risk while the lower CVD risk found with more active men is more directly related to the low IAF found in more active men.

Dietary fat in relation to body fat and intraabdominal adipose tissue: a cross-sectional analysis.

Numerous studies report positive links between dietary fat and adiposity. However, the relation between fat intake and intraabdominal adipose tissue (IAAT), a risk factor for cardiovascular disease and diabetes, is not known. We therefore evaluated the association between dietary fat and adipose tissue stores in 135 white men aged 44 +/- 10 y (mean+/- SD: weight, 86 +/- 14 kg; body fat, 23 +/- 8%) and in 214 white women aged 45 +/- 14 y (weight, 64 +/- 12 kg; body fat, 33 +/- 10%). Dietary intake was estimated from 3-d food records, body composition from hydrostatic weighing, IAAT and subcutaneous abdominal adipose tissue (SCAAT) by computed tomography, and physical activity by using the Baecke Questionnaire. After adjustment for fat-free mass, sex, age, physical activity, and nonfat energy intake, fat intake was weakly correlated with fat mass, explaining only 2% of the variance (partial R2 = 0.018, P < 0.01). In a separate model that evaluated type of fat, saturated fat was positively related (partial R2 = 0.025, P < 0.01) to fat mass after adjustment for fat-free mass, sex, age, physical activity, and nonfat energy intake whereas polyunsaturated fat intake was negatively related (partial R2 = 0.007, P = 0.056). On the basis of partial correlation analyses, dietary fat was also associated with SCAAT adjusted for nonfat energy intake and IAAT (partial R2 = 0.014, P < 0.01), but not IAAT adjusted for nonfat energy intake and SCAAT. However, the association between dietary fat and adjusted SCAAT was not significant after further adjustment for sex, age, and physical activity. Thus, results of this cross-sectional analysis suggest that dietary fat independently plays a very minor role in increasing overall adiposity and does not specifically influence fat accretion in the intraabdominal region.

Anthropometric equations for estimating abdominal adipose tissue distribution in women.

OBJECTIVES: (1) to develop multiple regression equations for predicting computed tomography (CT) derived intra-abdominal (IAF), subcutaneous (SCF) and total (TOTF = IAF + SCF) abdominal adipose tissue areas from anthropometric measures and (2) to validate the equations. DESIGN: Cross-sectional study. SUBJECTS: 204 healthy Caucasian females subjects with a large range of age (17-76 years) and percentage body fat (8.8%-48.1%). Fifty-one subjects served as an independent sub-sample for the validation of the equations. MEASUREMENTS: Various fatness and fat distribution parameters (hydrodensitometry, single CT scan, skinfold and circumference measures). RESULTS: Multiple regression equations were developed to estimate IAF, SCF and TOTF. R2 for IAF, SCF and TOTF was 0.75, 0.81 and 0.85, respectively. The equations were validated on an independent sub-sample of 51 subjects. All three equations met validation criteria with R2 validations of 0.79, 0.71 and 0.84 for IAF, SCF and TOTF, respectively. CONCLUSION: These equations might be used as an inexpensive estimation of IAF, SCF and TOTF in adult Caucasian females varying greatly in age and percentage body fat.

Development and validation of computed tomography derived anthropometric regression equations for estimating abdominal adipose tissue distribution.

The purpose of this study was twofold: (1) to develop multiple regression equations for predicting computed tomography (CT) derived intra-abdominal (IAF), subcutaneous (SCF), and total (TOTF= IAF+SCF) abdominal adipose tissue areas from anthropometric measures in adult white males with a large range of age (18-71 years) and percent body fat (2.0-40.6); and (2) to validate the new and existing equations that used similar Hounsfield Units (HU) for determining IAF for estimating these fat depots. One hundred fifty-one white male subjects had IAF, SCF, and TOTF determined by a single CT scan, skinfold and circumference measures taken and body density determined. Linear intra-correlations and factor analysis procedures were used to identify variables for inclusion in stepwise multiple regression solutions. IAF was estimated from age, waist circumference, the sum of mid-thigh and lower thigh circumferences, and vertical abdominal skinfold. SCF was estimated from age, umbilicus circumference, chest and suprailiac skinfolds. TOTF was estimated from age, body mass index (BMI), chest skinfold, and umbilicus circumference. R2 for IAF, SCF, and TOTF was .73, .77, and .86 respectively. The existing and the new equations were validated on an independent sub-sample of 51 subjects. The only existing equation that met validation criteria had a validation R2 = .67 for IAF. All three new equations met validation criteria with R2 validations of .75, .79, and .85 for IAF, SCF, and TOTF respectively. It is concluded that the new equations might be used as an inexpensive estimation of IAF, SCF, and TOTF in adult white males varying greatly in age and percent body fat.