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PubMed2003

A central body fat distribution is related to renal function impairment, even in lean subjects.

BACKGROUND: Overweight and obesity are believed to be associated with renal damage. Whether this depends on fat distribution is not known. We hypothesize that in addition to overweight, fat distribution may be associated with renal function abnormalities. METHODS: We studied the relation between body weight and fat distribution and microalbuminuria and elevated or diminished filtration in 7,676 subjects without diabetes. Microalbuminuria is defined as urinary albumin excretion (UAE) of 30 to 300 mg/24 h. Elevated and diminished filtration are defined as filtration plus or minus 2 SDs of a nondiabetic lean group with a peripheral fat distribution and UAE of 0 to 15 mg/24 h, corrected for age and sex. The total population was divided into six groups according to body weight (overweight is defined as body mass index [BMI] > 25 and < or = 30 kg/m2; obesity, as BMI > 30 kg/m2) and fat distribution. RESULTS: In logistic regression analysis, obese subjects with central fat distribution had a greater risk for microalbuminuria (relative risk, 1.7; 95% confidence interval, 1.19 to 2.35). Obese subjects with either peripheral or central fat distribution had a greater risk for elevated filtration (relative risk, 3.2; 95% confidence interval, 1.19 to 8.47; relative risk, 2.6; 95% confidence interval, 1.59 to 4.28, respectively). Furthermore, subjects with central fat distribution, either lean, overweight, or obese, had a greater risk for diminished filtration (relative risk, 1.9; 95% confidence interval, 1.19 to 3.12; relative risk, 2.0; 95% confidence interval, 1.19 to 3.19; and relative risk, 2.7; 95% confidence interval, 1.46 to 4.85, respectively). Finally, by dividing waist-hip ratio (WHR) into quartiles, greater WHR was associated with a greater risk for diminished filtration, even when corrected for BMI. CONCLUSION: Not only overweight and obese subjects, but also lean subjects with central fat distribution are at risk for diminished filtration. Therefore, a central pattern of fat distribution, not overweight or obesity by itself, seems to be important for renal impairment.

Abdomen↗
PubMed2005

Is semen quality affected by male body fat distribution?

The aim of this study was to examine the relationship of semen parameters, sexual function-related hormones and waist/hip ratio. Eighty-one selected patients presenting with infertility were examined. Weight, height, waist circumference and hip circumference were measured, and reproduction-related hormone levels were determined. Semen was analysed by conventional methods. Semen volume, sperm concentration, motility, total sperm count, total motile sperm cell number, rapid progressive motile sperm count and reproduction-related hormone levels [follicle-stimulating hormone, luteinizing hormone, prolactin, testosterone, 17beta-oestradiol and sexual hormone-binding globulin (SHBG)]. Significant correlations were found: (i) weight, waist circumference and hip circumference versus testosterone level, SHBG level, and testosterone/17beta-oestradiol ratio; (ii) hip circumference versus sperm concentration; (iii) waist circumference and hip circumference versus sperm count, total motile sperm cell number and rapid progressive motile sperm count; (iv) weight versus total sperm count and total motile sperm cell number; (v) waist circumference and hip circumference versus prolactin level (positively) and SHBG (negatively); (vi) waist circumference and waist/hip ratio versus semen volume. It can be concluded that the waist/hip ratio is correlated with the reproductive hormone levels. Although both the waist circumference and hip circumference correlated with the semen characteristics, the waist/hip ratio did not.

Adult↗
PubMed1998

The impact of nutritional status on body fat distribution patterns in pre- and postmenopausal females.

This study examines the impact of nutritional status, classified by body mass index, on sex specific fat distribution patterns dependent on menopausal status in 467 pre-, peri- or postmenopausal females. Absolute and relative amounts of upper and lower body fat were estimated by means of dual energy X-ray absorptiometry. It was found that low weight, independent of menopausal status, leads to the typical gynoid pattern of fat distribution while excess weight and obesity result in the android pattern of distribution in pre- and postmenopausal women.

Adipose Tissue↗
PubMed2002

Metabolic impact of body fat distribution.

Many studies have shown that fat distribution influences metabolism independently of the effects of total body fat stores. The accumulation of fat in the abdominal area, particularly in the visceral fat compartment, seems to be associated with an increased risk to display complications such as insulin resistance, diabetes, dyslipidemias and atherosclerosis. As reviewed in this paper, the mechanisms explaining this impact of fat distribution is not clearly established, although evidence suggests that free-fatty acids, leptin, TNF-alpha, PPAR-gamma, and F are directly or indirectly involved in this process. Despite a lot of research has yet to be performed to mechanistically characterize the impact of visceral fat on the metabolic profile, there is enough consensus in the literature about its effect to justify its consideration in a clinical setting. In this regard, the use of waist circumference as a clinical marker of variations in visceral fat is highly relevant and should be encouraged. This review also presents an evolutionary perspective according to which body fat gain would have been and may still remain an adaptation that helps to deal with stress and inflammation.

Adaptation, Physiological↗
PubMed1998

[Body fat distribution, blood pressure and plasma lipids and lipoprotein levels].

PURPOSE: To study associations between FAT distribution and blood pressure levels and concentrations of lipids and lipoproteins, irrespective of body fat content and physical activity. METHODS: A sample of 62 subjects of both genders aging 20-45 years-old was used in the study. The adipose tissue distribution was based on the waist-to-hip ratio (WHR). Body fat content was estimated by the body mass index (BMI), and physical activity was assessed by maximal oxygen uptake (VO2max). Partial correlation analyses were used to determine the strength of the associations. RESULTS: After correction for BMI there was a significant partial correlation between centripetal adipose tissue distribution and serum triglyceride, LDL-cholesterol levels, and blood pressure. However, controlling for VO2max, there was no significant association between WHR and any serum variable and blood pressure. CONCLUSION: The centripetal adipose tissue distribution, independent of body fat content, was related to lipid and lipoprotein plasma concentrations and to blood pressure levels in both sexes. Physical activity seems to be an important modifier of this relationship, emphasizing its role in the control of cardiovascular risk factors.

Adipose Tissue↗
PubMed2000

[The association between A55V variant in UCP2 gene and body fat distribution, serum lipid profile in Chinese].

OBJECTIVE: Uncoupling protein 2(UCP2) could play an important role in energy metabolism and body weight regulation. The aim of this study was to investigate Ala55Val(A55V) variant in the UCP2 gene has effects on serum lipid profile, body fat and its distribution in Chinese. METHODS: The genotypes of A55V variant in the UCP2 gene were determined by a PCR-RFLP assay in 359 unrelated Chinese [including 193 normal glucose tolerance(NGT) and 166 type 2 diabetic subjects by ADA 97' criteria]. The parameters for regional adipose tissue distribution were measured by magnetic resonance imaging(MRI). RESULTS: In NGT group, an association between A55V variant in the UCP2 gene and body mass index(BMI) (P=0.0246), as well as femoral subcutaneous adipose tissue area (FA) (P=0.0017), was noted in females. A55V variant in the UCP2 gene was also associated with serum triglyceride (TG) level (P=0.0072) in males. However, in type 2 diabetes group, an association between A55V variant in the UCP2 gene and FA (P=0.0150) was replicated in females too. Those females who were homozygotes of AA in the UCP2 gene had decreased FA not only in NGT group but also in type 2 diabetes group. Furthermore, logistic regression analysis indicated that FA (P=0.0098 in NGT females, P=0.0071 in type 2 diabetic females) and BMI (P=0.0016 in NGT females), as well as TG level (P=0.0040 in NGT males) were associated with this variant in the UCP2 gene. CONCLUSION: A55V variant in the UCP2 gene is associated not only with FA (in NGT females and type 2 diabetic females) but also with BMI (in NGT females). Therefore A55V variant in the UCP2 gene appears to play a role in body fat and its distribution in Chinese females.

Adipose Tissue↗
PubMed1998

Effect of insulin therapy on body fat distribution in NIDDM patients with secondary sulfonylurea failure: a preliminary report.

OBJECTIVE: To clarify the influence of insulin therapy on body weight and fat distribution, we compared these parameters in five non-insulin dependent diabetes mellitus (NIDDM) patients, with secondary sulfonylurea failure, before and after insulin therapy. Body weight increased significantly after instituting insulin treatment. However, the visceral to subcutaneous fat (V/S) ratio decreased significantly due to a marked increase in S-fat without a change in V-fat. Insulin therapy necessitated by sulfonylurea failure does not appear to accelerate the atherogenic process in NIDDM patients as there is no increase in visceral fat.

Adipose Tissue↗
PubMed2004

Body fat distribution of overweight females with a history of weight cycling.

Weight cycling may cause a redistribution of body fat to the upper body fat compartments. We investigated the distribution of subcutaneous adipose tissue (SAT) in 30 overweight women with a history of weight-cycling and age-matched controls (167 normal weight and 97 overweight subjects). Measurements of SAT were performed using an optical device, the Lipometer. The SAT topography describes the thicknesses of SAT layers at 15 anatomically well-defined body sites from neck to calf. The overweight women with a history of weight cycling had significantly thicker SAT layers on the upper body compared to the overweight controls, but even thinner SAT layers on their legs than the normal weight women. An android fat pattern was attributed to overweight females and, even more pronounced, to the weight cyclers. The majority of normal weight women showed a gynoid fat pattern. Using stepwise discriminant analysis, 89.0% of all weight cyclers and overweight controls could be classified correctly into the two groups. These findings show the importance of normal weight maintenance as a health-promoting factor.

Adipose Tissue↗
PubMed1998

Quality of life in relation to overweight and body fat distribution.

OBJECTIVES: This study quantified the impairment of quality of life attributable to body fatness by using the standardized SF-36 Health Survey. METHODS: Tertiles of waist circumference and body mass index (BMI) in 1885 men and 2156 women aged 20 to 59 years in the Netherlands in 1995 were compared. RESULTS: The odds ratios and 95% confidence intervals of subjects with the largest waist circumferences, compared with those in the lowest tertile, were 1.8 (1.3, 2.4) in men and 2.2 (1.7, 2.9) in women with difficulties in bending, kneeling, or stooping; 2.2 (1.4, 3.7) in men and 1.7 (1.2, 2.6) in women with difficulties in walking 500 m; and 1.3 (1.0, 1.9) in men and 1.5 (1.1, 1.9) in women with difficulties in lifting or carrying groceries. Anthropometric measures were less strongly associated with social functioning, role limitations due to physical or emotional problems, mental health, vitality, pain, or health change in 1 year. The relationship between quality of life measures and BMI were similar to those between quality of life measures and waist circumference. CONCLUSIONS: Large waist circumferences and high BMIs are more likely to be associated with impaired quality of life and disability affecting basic activities of daily living.

Activities of Daily Living↗
PubMed1992

Relation of obesity and body fat distribution to endometrial cancer in Shanghai, China.

In a case-control study involving 268 cases of endometrial cancer and an equal number of population controls, we assessed the relationship of risk to body weight and fat distribution, examining weight at various ages and current anthropometric measurements. Weight gain during later adulthood and resultant high body masses were important risk predictors, indicating that obesity is an important risk factor, even in an area where the prevalence of obesity and incidence of endometrial cancer are low. Certain fat distribution patterns were related to risk of endometrial cancer independent of general obesity. In particular, fat deposits on the trunk were associated with elevated risks, with the odds ratio for the highest versus lowest quartile of subscapular skinfolds remaining significant even after adjustment for body mass index (odds ratio = 2.9; 95% confidence interval, 1.1-7.3). Central versus peripheral obesity, as measured by the subscapular:triceps ratio, also was related to increased risk, although the association failed to remain significant after adjustment for body mass (highest to lowest quartile, odds ratio = 1.7). In contrast, upper body obesity, as assessed by the waist:thigh ratio, was unrelated to risk. These results support the need for future studies assessing the relationship of hormonal and other biological parameters of fat distribution to assist in identifying causal mechanisms for this tumor.

Adolescent↗
PubMed2001

Body fat distribution in white and black women: different patterns of intraabdominal and subcutaneous abdominal adipose tissue utilization with weight loss.

BACKGROUND: Intraabdominal adipose tissue (IAAT) is the body fat depot most strongly related to disease risk. Weight reduction is advocated for overweight people to reduce total body fat and IAAT, although little is known about the effect of weight loss on abdominal fat distribution in different races. OBJECTIVE: We compared the effects of diet-induced weight loss on changes in abdominal fat distribution in white and black women. DESIGN: We studied 23 white and 23 black women, similar in age and body composition, in the overweight state [mean body mass index (BMI; in kg/m(2)): 28.8] and the normal-weight state (mean BMI: 24.0) and 38 never-overweight control women (mean BMI: 23.4). We measured total body fat by using a 4-compartment model, trunk fat by using dual-energy X-ray absorptiometry, and cross-sectional areas of IAAT (at the fourth and fifth lumbar vertebrae) and subcutaneous abdominal adipose tissue (SAAT) by using computed tomography. RESULTS: Weight loss was similar in white and black women (13.1 and 12.6 kg, respectively), as were losses of total fat, trunk fat, and waist circumference. However, white women lost more IAAT (P < 0.001) and less SAAT (P < 0.03) than did black women. Fat patterns regressed toward those of their respective control groups. Changes in waist circumference correlated with changes in IAAT in white women (r = 0.54, P < 0.05) but not in black women (r = 0.19, NS). CONCLUSIONS: Despite comparable decreases in total and trunk fat, white women lost more IAAT and less SAAT than did black women. Waist circumference was not a suitable surrogate marker for tracking changes in the visceral fat compartment in black women.

Abdomen↗
PubMed1991

Effects of body fat distribution on regional lipolysis in obesity.

UNLABELLED: To determine the contribution of the major body fat depots to systemic free fatty acid (FFA) availability, palmitate ([1-14C]-palmitate) release was measured from leg (lower body) and non-leg (upper body) fat in eight upper body obese (UB Ob), six lower body obese (LB Ob), and six nonobese (Non Ob) age-matched premenopausal women in the overnight postabsorptive state. Splanchnic palmitate release was determined in 16 of these subjects. RESULTS: total palmitate release was greater in UB Ob (P less than 0.005) than LB Ob or Non Ob women (161 +/- 16 vs. 111 +/- 9 vs. 92 +/- 9 mumol/min, respectively). Despite increased leg fat mass in obese women, leg palmitate release was similar in each group. Therefore, leg fat palmitate release was greater in Non Ob women than LB Ob (P less than 0.01) or UB Ob (P = 0.06) women (3.7 +/- 0.3 vs. 2.4 +/- 0.2 vs. 2.7 +/- 0.2 mumol.kg fat-1.min-1, respectively). Upper body fat palmitate release was less (P less than 0.01) in LB Ob than Non Ob or UB Ob women (3.0 +/- 0.4 vs. 5.0 +/- 0.3 vs. 4.9 +/- 0.4 mumol.kg fat-1.min-1, respectively). Splanchnic palmitate release accounted for 20-32% of upper body fat palmitate release in each group (P = NS between groups). Leg fat palmitate release was significantly less than upper body fat palmitate release. We conclude that the major difference in resting FFA metabolism between UB Ob and LB Ob women is the ability of the later to down-regulate upper body fat lipolysis to maintain normal FFA availability.

Adipose Tissue↗
PubMed1993

Fatty acid kinetic responses to exercise. Effects of obesity, body fat distribution, and energy-restricted diet.

UNLABELLED: Upper body obesity (UB Ob) is associated with a reduced net free fatty acid (FFA) response to epinephrine compared with nonobese (Non Ob) and lower-body obese (LB Ob) women. Because catecholamines regulate some of the metabolic responses to exercise, we hypothesized that UB Ob would have a reduced net FFA response to exercise. Plasma FFA rate of appearance (Ra) ([1-14C]palmitate) and fatty acid oxidation (indirect calorimetry) were therefore measured during 2.5 h of stationary bicycle exercise (45% VO2 peak) in 13 UB Ob, 11 LB Ob, and 8 Non Ob premenopausal women. 10 UB Ob and 8 LB Ob women were retested after an approximately 8-kg weight loss. RESULTS: During exercise Non Ob and LB Ob women had greater increments in FFA availability (51 +/- 7 and 53 +/- 8 mmol, respectively) than UB Ob women (27 +/- 4 mmol, P < 0.05). Total exercise FFA availability and fatty acid oxidation were not different between Non Ob, LB Ob, and UB Ob women, however. Following weight loss (approximately 8 kg), the FFA response to exercise increased (P < 0.01) and remained greater (P < 0.05) in LB Ob than in UB Ob women. In conclusion, the FFA response to exercise was reduced in UB Ob women before and after weight loss, but no effects on fatty acid oxidation were apparent.

Body Composition↗
PubMedDate not supplied

Relationships between age-related changes of sex steroids, obesity and body fat distribution among healthy Polish males.

During the process of aging in males a trend toward an unfavourable body fat accumulation, especially within the visceral depots, is observed. This fact is presumed to be associated with the age-related decline in androgen levels among aging men. The aim of this study was to determine the relationships between sex steroid levels (DHEAS, estradiol, free and total testosterone) and BMI, percent fat mass, WHR values in 190 healthy and professionally active men, aged 22-67, inhabitants of the city of Wroclaw, Poland. Hormonal levels were measured using standard immunoassays. BMI was used as a measurement of obesity. Obesity was also assessed using percent fat mass equations according to the Crook formula. WHR was used as an index of fat distribution. All the correlations between sex steroids, BMI, WHR, percent fat mass and age were evaluated using statistical non-parametric analyses (Spearman coefficient) in the entire group of examined subjects, and in two age-specific groups: a) younger males (aged 22-39) and b) older males (aged 40-67). The aging of Polish males is accompanied by both a significant increase of BMI, percent fat mass and WHR values, and by a decline in estradiol, gonadal and adrenal androgen levels. In the younger group only total testosterone levels were significantly negatively related to BMI, percent fat mass and WHR. Within the group of older men both estradiol and DHEAS levels are significantly positively related to WHR. The sex steroids seem to be associated with indices of overall obesity and distribution of fat in men, but these relationships differ considerably when they are evaluated in younger and older age categories. Worthy of notice is the fact that free testosterone levels are not related to any anthropometric parameters in any age category, although free testosterone (not total testosterone) is commonly recognised as a reliable and sensitive endocrinological indicator of the general psycho-physical status of an aging man.

Adipose Tissue↗
PubMed1996

Superovulation with urinary human follicle-stimulating hormone: correlations with body mass index and body fat distribution.

Our objective was to investigate the relationship between body mass index (BMI), waist/hip ratio (WHR), follicle-stimulating hormone (FSH) dose, length of stimulation and clinical outcome in infertile women with and without polycystic ovary syndrome (PCOS) undergoing controlled ovarian hyperstimulation. Controlled ovarian hyperstimulation was induced in 60 women for a total of 111 cycles (48% in PCOS patients) with urinary human FSH (u-hFSH). A significant correlation between BMI, u-hFSH dose and duration of stimulation was found in PCOS and non-PCOS patients with WHR < 0.8. These correlations were not present in PCOS patients with WHR > 0.8. Pregnant patients received significantly less ampules of u-hFSH. From our data we suggest a controlled ovarian hyperstimulation protocol, for obese non-PCOS patients and obese PCOS patients with WHR < 0.8, starting with a double dose of u-FSH.

Adipose Tissue↗
PubMed1999

GH-binding protein in obese men with varying glucose tolerance: relationship to body fat distribution, insulin secretion and the GH-IGF-I axis.

Bioelectrical impedance for measurement of total body fat and computed tomography for visceral and subcutaneous fat at umbilicus levels were performed in 34 obese and 10 lean men. Insulin secretion in response to an oral glucose tolerance test (OGTT) and a GH stimulation test by L-dopa, growth hormone-binding protein (GHBP) and IGF-I were measured. Obese subjects were divided into three groups according to the OGTT. The obese type II diabetes mellitus group had the highest GHBP levels and the most visceral fat. GHBP levels were most strongly correlated with the ratio of visceral fat area to body weight (VWR) above any other parameters (r = 0.725, P<0.001). The insulin and free fatty acid (FFA) areas under curves (AUC) during the OGTT, and the IGF-I level, were also positively correlated with GHBP levels (r = 0.474, P<0.005; r = 0.572, P<0.005; r = 0.453. P<0.005). GH-AUC to the L-dopa stimulation test was negatively correlated with GHBP levels (r = -0.432. P<0.005). Stepwise multiple linear regression analysis showed that VWR, FFA-AUC and insulin-AUC significantly contributed to the variability of GHBP (r2 = 0.58). In conclusion, we demonstrated that: (i) visceral fat amount mainly determined GHBP levels in obese men with varying glucose tolerance: (ii) hyperglycemia per se did not influence the GHBP level, whereas insulin and FFA could play a role in regulation of GHBP: and (iii) although GH was not the main regulator of GHBP, the unchanged IGF-I level despite GH hyposecretion suggests that increased GHBP levels reflect GH hypersensitivity in order to compensate for decreased GH secretion in obesity.

Adipose Tissue↗
PubMed1990

Impaired prolactin secretion and body fat distribution in obesity.

Human obesity shows clustering within families. The hypothesis for the presence of a major gene or genes acting in human obesity is supported by recent evidence from studies of obesity in adoptees and their biological parents and siblings. The heterogeneity of obesity may be demonstrated by the shape of fat distribution and the prolactin response to insulin hypoglycaemia. Fat distribution has been shown to have a genetic background whereas a primary disorder of hypothalamic function is suspected in obese women who show an impaired prolactin response to insulin-induced hypoglycaemia. We have investigated the possible association between fat distribution and hypothalamic function in 23 extremely obese, nondiabetic premenopausal women who have been characterized using their absolute body weight, body mass index (BMI), fat distribution (expressed as waist to hip ratio), fasting insulin, basal prolactin and prolactin response to hypoglycaemia. Fasting insulin values showed a significant correlation (P less than 0.05, R = 0.604) with increasing waist to hip ratio (upper body segment obesity), whereas the graded prolactin response to hypoglycaemia of the obese women showed a negative association with increasing upper body segment obesity (P less than 0.05; R = -0.446). No relationship was observed between fasting insulin and the prolactin response to hypoglycaemia. We suggest that this previously unrecognized association of an impaired prolactin response to hypoglycaemia and upper body segment fatness may be useful for the investigation of the genetics of obesity.

Adipose Tissue↗