Effect of Regain of Body Weight on Regional Body Fat Distribution: Comparison Between Pre- and Postmenopausal Obese Women

The aim of our study was to determine if regain of body weight increases visceral fat in obese women and if regain of weight has a different effect upon pre- and postmenopausal women. Twenty obese women (11 pre- and 9 postmenopausal) underwent a very low energy diet (VLED) for 2 weeks to lose weight. They then regained body weight in spite of the recommended hypocaloric diet. No significant modifications in body fat distribution indexes were found by computed tomography between VLED and after regain of weight. No significant changes were found in metabolic variables. No interactions between menopausal status and regain of body weight were observed. In conclusion, regain of weight does not seem to cause an increase in visceral fat; both pre- and postmenopausal women showed the same body fat distribution before weight loss and after regain of weight.     

The Case for Medical Management of Obesity: A Call for Increased Physician Involvement

The United States is in the midst of an escalating epidemic of obesity. Over one-third of the adult population in the United States is currently obese and the prevalence of obesity is growing rapidly. By any criteria, obesity represents a chronic disease which is associated with a wide range of comorbidities, including coronary heart disease (CHD), Type 2 diabetes, hypertension and dyslipidemias. The comorbidities of obesity are common, occurring in over 70% of individuals with a BMI of ≥ 27. In addition to obesity itself, excessive accumulation of visceral abdominal fat and significant adult weight gain also represent health risks. Physicians have an important role to play in the treatment of obesity. Unfortunately, the medical community has not been involved actively enough to help stem the major epidemic of obesity occurring in the United States. This article puts forth a proposed model for the treatment of obesity in clinical practice, including obtaining the “vital signs” of obesity, recommending lifestyle measures, and instituting pharmacologic therapy when appropriate. By utilizing a chronic disease treatment model, physicians can join other health care professionals to effectively treat the chronic disease of obesity. Relatively modest weight loss, on the order of 510% of initial body weight can result in significant health improvements for many patients and represent an achievable goal for most obese patients.     

The Influence of Anatomical Boundaries,Age, and Sex on the Assessment of Abdominal Visceral Fat

CLASEY, JODY L, CLAUDE BOUCHARD, LAURIE WIDEMAN, JILL KANALEY, C DAVID TEATES, MICHAEL O THORNER, MARK L HARTMAN, ARTHUR WELTMAN. The influence of anatomical boundaries, age, and sex on the assessment of abdominal visceral fat. Single-slice abdominal computed tomography (CT) scanning has been used extensively for the measurement of abdominal visceral fat (AYF). Optimal anatomical scan location and pixel density ranges have been proposed and are specifically reported to allow for the replication and standardization of AVF measurements. Standardization of the anatomical boundaries for CT measurement of AVF and the influence of age and gender on results obtained with different boundary locations have received much less attention. To determine the influence of three boundary analysis methods (AVF-1, AVF-2, and AVF-3) on the measurement of AVF by CT, 54 older (60 years to 79 years) and 37 younger (20 years to 29 years) healthy men and women were examined. The measurement boundary for AVF-1 was the internal most aspect of the abdominal and oblique muscle walls, and the posterior aspect of the vertebral body. AVF-2 used fat measurements enclosed in a boundary formed by the midpoint of the abdominal and oblique muscle walls, and the most posterior aspect of the spinous process. AVF-3 used fat measurements enclosed in a boundary formed by the external border of the abdominal and oblique muscle walls, and the external border of the erector spinae. Greater AVF measures were obtained with AVF-2 and AVF-3 compared with AVF-1 (p<0.0001). These differences were greater in older compared with younger subjects (p<0.0001) and greater in women compared with men (p<0.02). The significantly greater AVF measurements obtained with AVF-2 and AVF-3 resulted from the inclusion of larger amounts of fat that are not drained by the portal circulation. This included retroperitoneal, intermuscular, and intramuscular lipid droplets, which increase with aging. On the basis of these results, we recommend the AVF-1 anatomical boundaries for the measurement of AVF in clinical investigations, particularly with older subjects. These data demonstrate the importance of precise and reproducible anatomical boundaries for the measurement of AVF, particularly in longitudinal studies.     

Relation of the White Blood Cell Count to Obesity and Insulin Resistance: Effect of Race and Gender

PRATLEY, RICHARD E, CHARLTON WILSON AND CLIFTON BOGARDUS. Relation of the white blood cell count to obesity and insulin resistance: effect of race and gender. Obes Res. Recent reports suggest that the white blood cell (WBC) count is related to plasma insulin concentrations and insulin resistance in healthy individuals. The present study examines whether these relations are independent of obesity and the pattern of body fat distribution and tests whether race and gender affect these relations. WBC counts, insulin responses to a 75 gram oral glucose tolerance test (OGTT) and glucose disposal during a two-step hyperinsulinemic euglycemic clamp were measured in 300 men and women (149 Pima Indians, 100 whites, and 51 blacks) with a wide range of obesity. WBC counts were lower in blacks than Pima Indians or whites and tended to be higher in women than men. The subgroups were comparable in age and body weight, but percent body fat and plasma insulin concentrations were higher and glucose disposal during the glucose clamp was lower in Pima Indians than in blacks or whites. In the group as a whole, the WBC count correlated with obesity (body mass index and percent body fat), the waist to thigh ratio (an index of the pattern of body fat distribution), and plasma insulin concentrations and was negatively related to age and glucose disposal during the clamp. In multiple regression analyses, only age, race and obesity were significantly associated with the WBC count. When the analyses were restricted to Pima men, in whom correlations between the WBC count and the metabolic variables appeared the strongest, the WBC count remained significantly associated with plasma insulin concentrations, but not glucose disposal, after controlling for age and obesity. The results of this study indicate that age, race, and obesity are significantly associated with the WBC count in healthy individuals. Plasma insulin concentrations, but not insulin resistance per se, may also be weakly associated with the WBC count, but this may be population specific.     

Associations of Body Mass and Body Fat Distribution with Parity Among African-American and Caucasian Women: The CARDIA Study

Associations of parity with body fat and its distribution are poorly understood; therefore, we examined the relationships between parity and obesity in young adult women. Body mass index (BMI), skin folds, and waist-hip ratio were compared in 1452 African-American and 1268 Caucasian nonpregnant women aged 18 to 30, adjusting for age (where no age-parity interactions were present), education, physical activity (assessed by questionnaire) and fitness (assessed by graded exercise test), dietary fat intake, alcohol and smoking. Adjusted mean BMI was significantly higher in African-American women aged 25–30 years with three or more children (28.5 kg/m²) than in those with two (27.0 kg/m²), one (26.2 kg/m²), or no children (26.3 kg/m²). Similar trends were found in Caucasians (BMI = 23.3, 23.4, 23.7, 25.0 kg/m² for parity = 0,1, 2, ≥ 3, respectively), but the mean BMI was significantly higher in African Americans in each parity group. The association between BMI and parity was not present among women 18–24 years of age. Skinfolds were directly associated with parity in African Americans only. Waist-hip ratios were generally lower among nulliparous than parous women in both ethnic groups; race differences were present only among nulliparas. In conclusion, parity was associated with BMI in women aged 25 to 30 years but did not explain ethnicity-related differences in body mass.     

Contribution of breast volume and weight to body fat distribution in females

Breast volume and body composition were measured in 45 adult females to determine the contribution of breast weight and breast volume to total body fat. Plaster casts were filled with sand of known density to obtain breast volume. Breast weight was computed as breast volume times its density. The correlation between total breast volume and percent body fat was r = .40. Breast weight (X = 484 grams) accounted for 3.5 percent of the total weight of body fat, and at most, 12 percent of the estimated quantities of sex-specific fat. A theoretical model is proposed for the distribution of body fat in the female which subdivides total body fat into three components: reserve storage fat, essential fat, and expendable storage fat.     

A Low Sympathoadrenal Activity is Associated with Body Weight Gain and Development of Central Adiposity in Pima Indian Men

TATARANNI P ANTONIO JAMES B YOUNG, CLIFTON BOGARDUS, ERIC RAVUSSIN. A low sympathoadrenal activity is associated with body weight gain and development of central adiposity in Pima Indian men. To investigate the possible role of impaired sympathetic nervous system and/or adrenal medullary function in the etiology of human obesity, we studied 64 Pima Indian men (28 ± 6 years, 101 ± 25 kg, 34 ± 9% body fat, mean ± SD) in whom sympathoadrenal function was estimated at baseline by measurements of 24-hour urinary norepinephrine (NE) and epinephrine (Epi) excretion rates under weight-maintenance conditions. Body weight, body composition (hydrodensitometry), and body fat distribution (waist-to-thigh circumference ratio, W/T) were measured at baseline and follow-up. Follow-up data were available on 44 subjects who gained on average 8.4 ± 9.5 kg over 3.3 ± 2.1 years. In these subjects, baseline NE excretion rate, adjusted for its determinants (i.e., fat free mass, fat mass, and W/T), correlated negatively with bodyweight gain (r=?0.38; p=0.009). Baseline Epi excretion rate correlated negatively with changes in W/T (r=?0.44; p=0.003). In conclusion, our data show for the first time that a low sympathetic nervous system activity is associated with body weight gain in humans. Also, a low activity of the adrenal medulla is associated with the development of central adiposity.     

Human Body Composition and the Epidemiology of Chronic Disease

Obesity and body fat distribution (FD) are established risk factors for chronic diseases. The body mass index (BMI) and the waist/hip circumference ratio (WHR) are used conventionally as indices of obesity and FD in epidemiological studies. Although some general limitations of these indices are recognized, others that affect their use in relative risks for disease are not well recognized. These include effects of sex, ethnicity, and especially age on the relationships between these indices and body composition, which can result in substantial misclassification of obesity and FD. There is considerable variability in body composition for any BMI, and some individuals with low BMIs have as much fat as those with high BMIs. This results in poor sensitivity for classifying levels of body fatness (e.g., too many “false negatives,” or overweight individuals classified as not overweight), and relative risks are attenuated across all categories of BMI. A more serious problem, however, is that at different ages the same levels of BMI correspond to different amounts of fat and fat-free mass. Data from the Rosetta Study and the New Mexico Aging Process Study show that older adults have, on average, more fat than younger adults at any BMI, due to the loss of muscle mass with age. As a result, the sensitivity of BMI cutpoints with respect to body fatness decreases with age, and the use of a fixed cutpoint for all ages results in “differential mis-classification bias.” Taken together, these issues sug- gest that the increases with age in the prevalences of overweight and obesity, and in the risks for chronic diseases, may be mis-estimated using BMI. Similar issues may affect the use of WHR for estimating prevalences and associated risks of FD. New field methods for estimating body composition are available that can be applied in large, epidemiologic follow-up studies of chronic diseases. These methods will allow epidemiologists to consider, for example, whether it is increased fat, or the replacement of fat-free mass with fat, with age that is associated with risk for chronic disease.