PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Fat Body”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 91 records · Page 5Linked to original sources
PubMed2001

Relationships between tamoxifen use, liver fat and body fat distribution in women with breast cancer.

Tamoxifen is a nonsteroidal anti-estrogenic drug used for adjuvant treatment of breast cancer and recently as a chemopreventative agent for breast cancer and, on an investigational basis, for other cancers. To date there are case reports of hypertriglyceridemia and fatty liver disease in tamoxifen users. Fatty liver is associated with visceral obesity and other components of the metabolic syndrome. Here we evaluated steatosis and adipose tissue distribution by CT scan in a cross-sectional study of 32 women on tamoxifen and 39 control women. Tamoxifen users had more visceral adipose tissue (VAT) and more liver fat than controls. This is the first study to demonstrate that fatty liver and intra-abdominal fat accumulation are common in breast cancer patients receiving tamoxifen. Prospective studies of tamoxifen should monitor metabolic changes in obese women with or without breast cancer.

Adipose Tissue↗
PubMed2001

Effects of fat mass and body fat distribution on resting metabolic rate in the elderly.

The aim of the present study was to investigate the relationship between resting metabolic rate (RMR) and fat-free mass, fat mass, and body fat distribution in 164 women (age 60 to 85 years; body mass index [BMI], 18.5 to 35.6 kg/m(2)) and 98 men (age 60 to 85 years; BMI, 18.3 to 36.5 kg/m(2)). After an overnight fast, RMR was assessed by indirect calorimetry and body composition by bioelectrical impedance analysis. Waist-to-hip ratio (WHR) was used to determine fat distribution. Results from linear regression analysis showed that most of the variance in RMR could be attributed to fat-free mass in women (R(2) = 0.54) and men (R(2) = 0.44), respectively. Fat mass explained an additional 3% and 2% of the variability in RMR in women and men, respectively. In stepwise multiple regression analysis, considering body composition and fat distribution, only fat-free mass and WHR were significant predictors of RMR in both sexes. In addition to fat-free mass, in women 6% and in men 8% of the variability in RMR was attributable to WHR. Grouping subjects according to their WHR, RMR, and RMR adjusted for fat-free mass and fat mass showed a significant increase with increasing WHR in both sexes. Results indicate that RMR not only depends on fat-free mass but also is influenced by fat mass, especially by fat distribution. These findings support our hypothesis of an elevated RMR with increasing abdominal body fat as a direct consequence of its greater metabolic activity.

Adipose Tissue↗
PubMed2003

Relation of adiposity and body fat distribution to body mass index in Australians of Aboriginal and European ancestry.

OBJECTIVE: To compare the relations of adiposity and body fat distribution to body mass index (BMI) in Australians of Aboriginal and European ancestry. DESIGN: Cross-sectional volunteer samples. SETTING: Australian Aboriginal communities in remote central and northern Australia, urban European Australians resident in Melbourne, Australia. SUBJECTS: Healthy Aboriginal (130 women, 120 men) and European Australians (100 women, 47 men) with a BMI<30 kg/m(2), aged 18-35 y; all women were nonpregnant. INTERVENTIONS: Anthropometric variables and resistance-using a four-terminal impedance plethysmograph-were measured. RESULTS: Aboriginal women and men were significantly shorter and weighed less than European Australians (P<0.05). Aboriginal women had a significantly larger waist circumference and waist-to-hip ratio (WHR, P<0.0005) compared to European Australian women. The sum of four skinfold thicknesses (SFT) (S4) and trunk SFT was higher in Aboriginals as compared to European Australian women (P<0.0005); however, limb SFT tended to be lower (P=0.06). On the other hand, BMI was significantly lower in Aboriginals compared to European Australian men (P=0.011), as was hip circumference (P=0.001); however, WHR was significantly (P=0.007) higher. On regression analysis, Aboriginal women and men were significantly heavier than European Australians for the same height(2)/resistance (surrogate for fat-free mass) and S4 (surrogate for subcutaneous fat); and that Aboriginal men had a significantly higher BMI (by 1.2 kg/m(2); P<0.0005) for any given S4 and height(2)/resistance values, compared to European Australian men. CONCLUSION: Aboriginal and European Australians have a significantly different body fat distribution and fat mass for a given body weight or BMI. Use of the World Health Organization recommended BMI ranges to determine weight status may be inappropriate in Australian Aboriginal people.

Adipose Tissue↗
PubMed2001

Sex hormone levels in premenopausal African-American women with upper and lower body fat phenotypes.

Body fat distribution may be a better marker of a hormonal pattern associated with increased breast cancer risk than obesity. This cross-sectional study of 106 healthy premenopausal African-American (AA) women compared the midfollicular phase sex hormone and sex hormone-binding globulin levels in upper body fat (UBF) and lower body fat (LBF) phenotype and obese and nonobese women. Multivariate regression analyses were used to control for various confounders, including dietary factors. UBF phenotype women had 37% (P = 0.02), 50% (P = 0.01), 52% (P = 0.007), and 50% (P = 0.009) higher levels of estradiol (E2), free E2, testosterone (T), and free T, respectively, than LBF phenotype women. Only %free T was higher in obese than in nonobese women (P = 0.02). The levels of E2, free E2, %free E2, T, and free T were higher [by 42% (P = 0.01), 68% (P = 0.001), 18% (P = 0.04), 36% (P = 0.04), and 61% (P = 0.01), respectively] and the level of sex hormone-binding globulin was lower [by 28% (P = 0.04)] in obese UBF than in nonobese LBF phenotype women. These findings support the hypothesis that body fat distribution may be a better marker of a hormonal pattern associated with increased breast cancer risk than obesity. Obese UBF phenotype AA women, in particular, have a high-risk hormonal profile. Future breast cancer studies might consider controlling for measures of obesity and body fat distribution to minimize confounding.

Adipose Tissue↗
PubMed1998

[Estimation of body composition based on total body water determination using phenazone for assessment of body fat gain in cattle. 2. Relationship between body fat content and back fat thickness].

Back fat thickness was measured at six points in 251 beef heifers aged 3 to 17 months, in 27 beef bulls aged 15 months and in 200 Holstein dairy cows of different age. This was paralleled by estimation of body fat content based on total body water analysis. All groups of animals showed the same pattern of back fat thickness for the measuring points investigated, which lead to the result of one optimum measuring point for determination of back fat thickness. The correlation coefficients between back fat thickness and body fat content were estimated to be between 0.80 and 0.87 for all groups investigated. Change in back fat thickness by 1 mm corresponded to gain or loss of around 5 kg body fat in all animal groups. Therefore it is possible to make concrete assessments of body fat content on the basis of back fat thickness.

Adipose Tissue↗
PubMed1988

Body fat assessed from body density and estimated from skinfold thickness in normal children and children with cystic fibrosis.

Body density and skinfold thickness at four sites were measured in 140 normal boys, 168 normal girls, and 6 boys and 7 girls with cystic fibrosis, all aged 8-14 y. Prediction equations for the normal boys and girls for the estimation of body-fat content from skinfold measurements were derived from linear regression of body density vs the log of the sum of the skinfold thickness. The relationship between body density and the log of the sum of the skinfold measurements differed from normal for the boys and girls with cystic fibrosis because of their high body density even though their large residual volume was corrected for. However the sum of skinfold measurements in the children with cystic fibrosis did not differ from normal. Thus body fat percent of these children with cystic fibrosis was underestimated when calculated from body density and invalid when calculated from skinfold thickness.

Adipose Tissue↗
PubMed2000

Evaluation of the novel Tanita body-fat analyser to measure body composition by comparison with a four-compartment model.

The Tanita body-fat analyser is a novel device to estimate body fat, based on the principles of bioelectrical impedance. It differs from other impedance systems which use surface electrodes in that the subjects stand bare-footed on a metal sole-plate which incorporates the electrodes, hence impedance is measured through the legs and lower trunk. In 104 men and 101 women (16-78 years and BMI 16-41 kg/m2) the mean bias in body-fat mass measured using the Tanita body-fat analyser was 0.8 (2SD 7.9) kg relative to a four-compartment model. This is comparable to the other prediction techniques tested (conventional tetrapolar impedance -1.3 (2SD 6.9) kg, skinfold thicknesses 0.3 (2SD 7.4) kg, and BMI-based formulas -0.2 (2SD 9.0) kg and -0.6 (2SD 8.5) kg), but the agreement was poorer than for 'reference' methods to measure body fat (density 0.2 (2SD 3.7) kg, total body water -0.9 (2SD 3.4) kg and dual-energy X-ray absorptiometry 0.1 (2SD 5.0) kg). The present paper also describes the derivation of a new prediction equation for the calculation of body composition from the Tanita body-fat analyser. The equation incorporates sex, age, and a log-transformation of height, weight and the measured impedance to predict body fat measured by a four-compartment model. This approach is recommended in the derivation of other prediction equations in body composition analysis. Using this novel prediction equation the residual standard deviations were 4.8% for men and 3.3% for women. A similar analysis using data collected with a conventional tetrapolar system yielded residual standard deviations of 4.3% for men and 3.1% for women. This demonstrates that the practical simplicity of the novel Tanita method is not associated with a clinically significant decrement in performance relative to a traditional impedance device.

Absorptiometry, Photon↗