Testosterone substitution increases the activity of lipoprotein lipase and hepatic lipase in hypogonadal males

We studied the effects of testosterone substitution on serum concentrations of lipids, lipoproteins, apoproteins and on the activity of hepatic lipase (HL) and lipoprotein lipase (LPL) in postheparin plasma and on the activity of LPL in adipose tissue (AT-LPL) in 13 male hypopituitary patients. The activities of LPL and HL in postheparin plasma were markedly increased by 1 week after a testosterone enanthate injection (P less than 0.001). The HL activity remained elevated (P less than 0.05) after 1 month's treatment, but the LPL activity declined to presubstitution levels. The prolonged substitution decreased serum apoproteins A-I and A-II (P less than 0.05). The changes of apo A-I and A-II correlated inversely with those of the free testosterone index (FTI) (r = -0.74, r = -0.67, P less than 0.05). Serum HDL-cholesterol level decreased slightly by 1 week and it correlated inversely with the increase in testosterone and the FTI (r = -0.67, r = -0.85, P less than 0.05). The results suggest that testosterone increases the activity of both lipolytic enzymes in postheparin plasma. The effect on HL appears to be more persistent than that on LPL. The data support a role for androgens in the regulation of serum lipoprotein and HDL-cholesterol levels.     

Effect of body mass index and fat distribution on insulin sensitivity, secretion, and clearance in nonobese healthy men.

The effects of variation in body mass index (BMI; kg/m2) and body fat topography on insulin sensitivity, secretion, and clearance were determined in a group of 146 nonobese nondiabetic males. Volunteers underwent an i.v. glucose tolerance test, with determination of plasma glucose, insulin, and C-peptide levels. BMI was taken as a measure of overall adiposity, while skinfold thickness ratios were used to assess the centrality of fat distribution and the localization of central fat within the trunk. Measurements of insulin sensitivity, secretion, and clearance were obtained by mathematical modelling of the i.v. glucose tolerance test concentration profiles. Increasing BMI and centrality of fat distribution had no significant effect on glucose tolerance, but were independently associated with diminished insulin sensitivity and increased insulin secretion. The elevation in secretion occurred almost entirely during the second phase of pancreatic insulin release. These results show that the variations in insulin sensitivity and secretion that have often been reported in obesity are also present in a group within the normal range of BMI. However, the absence of any decrease in hepatic uptake, also reported in the obese, indicates that this might be an additional mechanism recruited to maintain glycemic control at higher levels of adiposity. Localization of central fat in the lower trunk was correlated with elevated first phase insulin secretion, but no concomitant change in insulin sensitivity. There may, therefore, be a direct effect of the distribution of central fat on insulin secretion.     

New cutoff values for fat mass index,fat-free mass index and percent body fat in overweight and obese men living in Riyadh,SA

The frequent clinical use of bioelectrical impedance analysis (BIA) devices has made clinical evaluations of BIA-based parameters mandatory. This study was performed to define new cutoff points for the fat mass index, fat-free mass index, and percent body fat for overweight and obese men living in Riyadh, KSA. Three hundred sixty-two male subjects aged 18 to 62 years were enrolled in this cross-sectional study. The participants were divided into two groups; one group was assessed with an InBody 720 (n?=?179) device, and the other group was assessed with a Tanita BC-418 (n?=?183) device. Fat mass, fat mass index (FMI), fat-free mass, fat-free mass index (FFMI), and percent body fat (PBF) were measured. In addition, anthropometric measures, including weight, height, body mass index (BMI), waist circumference, hip circumference, waist hip ratio, and mid-arm circumference were included. Pearson correlation coefficients, Kappa analyses, and ROC curves were used. FMI exhibited the strongest positive correlation with BMI among all of the measured BIA-based parameters in both the InBody and Tanita groups (r?=?0.916 and 0.958, respectively, P?<?0.00001). ROC curves indicated that FMI was the most accurate parameter for the diagnosis of obesity in both groups (AUCs?=?0.970 and 0.980). The FMI, FFMI, and PBF cutoff values with the best sensitivities and specificities in both groups were 7.8 vs. 6.7 kg/m², 19.2 vs. 20.7 kg/m², and 27.8 vs. 24 %, respectively, based on the WHO criteria for the diagnosis of obesity in Asian population. FMI was the best predictor of obesity among all of the BIA-based parameters. Considerable differences were noted between the different machines. Knowledge of device-specific cutoff points would increase the clinical value of BIA in the diagnosis of obesity.     

In-hospital mortality as a function of body mass index: an age-dependent variable

In a retrospective review of 8428 hospital admissions, the relationship between age, sex, disease category, body mass index, and mortality during hospitalization was examined. Records were analyzed for adult admissions whose principal diagnosis fell into one of three categories: malignant disease, heart and cerebrovascular disease, and other diseases. In this study, age, disease category, and body mass index were predictors of survival; sex and race were not. Predicted mortality calculated by logistic regression was greatest at the extremes of body weight in all age groups and in each disease category describing a U-shaped relationship. Obesity was associated with higher mortality only when subjects were 100% or more overweight, whereas being at or below ideal weight was usually associated with increased mortality. Lowest mortality occurred at moderate overweight. The deleterious effects of extremes of body weight take on increasing importance the older the age of the patient. Underweight seems to be a more important predictor of mortality than overweight in older hospitalized subjects. The higher mortality in thin patients could not be explained by weight loss between hospitalizations.     

Serum leptin levels in healthy ageing men: are decreased serum testosterone and increased adiposity in elderly men the consequence of leptin deficiency?

OBJECTIVE: The limited information on serum leptin levels in elderly men suggests the occurrence of an age-related decrease, with disruption of the relationship between fat mass and leptin levels. A relative leptin deficiency might thus be implicated in the increase of fat mass and decrease of serum testosterone levels in elderly men. Therefore, we have reevaluated the age-related changes in serum leptin levels and their relationship with adiposity and androgen levels in a large group of community dwelling men. SUBJECTS AND MEASUREMENTS: Serum leptin and androgen levels were measured in 271 healthy, ambulatory elderly men (median age 74 years), as well as in 61 middle-aged (median 43 years) and 40 young (median 25.5 years) controls. Adiposity was assessed by anthropometrical measurements (body mass index; BMI) and by estimation of fat mass by the bio-impedance method. RESULTS: Serum leptin levels, whether or not adjusted for BMI, were found to increase with age, the values tending to level off after the age of 45 years, and were strongly correlated to BMI (r = 0.77) and fat mass assessed by the bio-impedance method (r = 0.81). Linear regression analysis showed a similar slope for the relationship between BMI and serum leptin in the three age groups. Multiple linear regression analysis indicated BMI, age and serum insulin, but not serum testosterone, as significant independent correlates of serum leptin. Serum (free) testosterone levels were negatively correlated with age and serum leptin, also after partialization for BMI: rank correlation coefficients vs. age and serum leptin, respectively, were - 0.20 (P < 0.001) and - 0.16 (P < 0.01) for total testosterone and - 0.60 (P < 0.001) and - 0.23 (P < 0.001) for free testosterone. Dehydroepiandrosterone sulphate (DHEAS) and leptin levels emerged as significant independent correlates in a multiple linear regression model for total serum testosterone; BMI and serum insulin became highly significant correlates in the same model when leptin was omitted from the independent variables. CONCLUSION: Ageing in men is accompanied by a rise of serum leptin levels with a maintained strong association between serum leptin and adiposity in elderly men. Testosterone does not appear to be a major determinant of serum leptin in healthy men, while leptin does emerge as a negative correlate of serum testosterone. Increased fat mass and decreased testosterone production in elderly men cannot be attributed to a relative leptin deficiency.     

Measurement of body fat in healthy elderly men: a comparison of methods

BACKGROUND: Nutritional evaluation of elderly people is of great importance. Two-component methods for body composition assessment, such as anthropometry and bioelectrical impedance (BIA), are widely used in clinical practice, but their fundamental assumptions may be invalid in older people. Dual-energy X-ray absorptiometry (DXA) is a relatively new method for reliable and direct measurements of body mass in its three basic components: total body bone mineral content (TBBMC), mineral free lean tissue mass (LTM), and fat. In this study, percent body fat (%BF) estimates from anthropometry and BIA in men of various ages were compared with corresponding measurements by DXA. METHODS: Body fat percentage was estimated in 67 men aged 20-95 by anthropometric measurements (skinfold thickness, body mass index, or BMI), BIA, and DXA. Age-specific equations were used for anthropometry and BIA. Limits of agreement were calculated between DXA and the other methods. RESULTS: The equations based on BMI and BIA systematically overestimated %BF with respect to %BF measured by DXA in people of all ages. Intermethod difference between DXA and skinfold thicknesses was less marked, but in over-80-year-olds %BF predicted by skinfold measurements underestimated %BF measured by DXA. Interindividual and age-related variation in TBBMC and in fat-free mass mineralization could partly explain the intermethod differences found between DXA and the other methods. CONCLUSIONS: Because of practical constraints, anthropometry and BIA are often the only available options for body composition assessment in clinical routine; therefore, further research on the validity and improvement of these methods in older people is indicated.     

Short-term treatment with metformin decreases serum leptin concentration without affecting body weight and body fat content in normal-weight healthy men

A weight-reducing effect of metformin has been demonstrated in obese subjects with and without diabetes. The mechanisms of this action are unclear, which may be partly due to the fact that in obese and diabetic patients the substance's effects result from a complex interaction with the distinct endocrine and metabolic disturbances in these patients. To dissociate primary from secondary action of metformin, we examined effects of the substance in normal-weight healthy subjects. Fifteen normal-weight men were treated with metformin (850 mg twice daily) or placebo for a 15-day period in a double-blind, placebo-controlled, cross-over study. Anthropometric, psychologic, cardiovascular, endocrine, and metabolic parameters were assessed before and at the end of the treatment period. Metformin did not affect body weight (P =.838) and body fat mass (P =.916). Yet, serum leptin concentration was distinctly reduced after metformin (P <.001). Also, metformin reduced the concentration of plasma glucose (P =.011), serum insulin (P=.044), and serum insulin-like growth factor -1 (IGF-1) (P=.013), while it increased serum glucagon concentration (P <.001). There were no effects of metformin on feelings of hunger, blood pressure, heart rate, resting energy expenditure, the respiratory quotient, free fatty acids, beta-hydroxybutyrate, glycerol, triglycerides, cholesterol, and uric acid (all P >.1). Data indicate that metformin decreases the serum leptin concentration even without affecting body weight and body composition in normal-weight men.     

Body fat mass and macronutrient intake in relation to circulating soluble leptin receptor,free leptin index,adiponectin, and resistin concentrations in healthy humans

The adipocyte-derived hormones leptin [which circulates in a free form and bound to a soluble leptin receptor (sOB-R)], adiponectin, and resistin play a key role in regulating energy homeostasis and metabolism. We assessed the association between body composition, total energy, and macronutrient intake and serum leptin, sOB-R, free leptin index, adiponectin, and resistin concentrations in 61 female and 53 male consecutively enrolled healthy Greek students. In this cross-sectional study, total energy and macronutrient intake were determined using 3-d food records. Body composition was assessed by bioelectrical impedance analysis; fasting blood samples were taken for the measurement of total leptin, sOB-R, adiponectin, and resistin; and the ratio leptin/sOB-R was used as an index of free leptin. Serum sOB-R concentrations were lower in the female subjects compared with the males (27.24 +/- 29.06 vs. 50.14 +/- 39.74 ng/ml, P < 0.001), whereas leptin, adiponectin, and resistin concentrations were significantly higher in females (leptin: 9.93 +/- 6.01 vs. 3.27 +/- 2.54 ng/ml, P < 0.001; adiponectin: 11.40 +/- 6.73 micro g/ml vs. 4.90 +/- 2.79 micro g/ml; P < 0.001; resistin: 16.86 +/- 5.39 ng/ml in females vs. 14.00 +/- 7.16 ng/ml in males, P < 0.02). Simple regression analysis showed that, in both genders, leptin, free leptin index, adiponectin, and resistin correlated positively with body fat mass and negatively with waist to hip ratio. sOB-R correlated negatively with body fat mass and positively with waist to hip ratio. Multiple regression analysis models controlling for gender, body fat, and total energy intake demonstrated that sOB-R is positively associated with energy intake from carbohydrates and negatively with energy intake from dietary fat, whereas free leptin index is negatively associated with energy intake from carbohydrates and positively with energy intake from dietary fat. No statistically significant correlations were observed between serum adiponectin or resistin concentrations and total energy or macronutrient intake. Thus, total energy intake and macronutrient composition of the diet are associated with sOB-R and free leptin index but do not play a role of comparable significance in predicting adiponectin and resistin concentrations in healthy young subjects.     

Mortality associated with body fat, fat-free mass and body mass index among 60-year-old swedish men-a 22-year follow-up. The study of men born in 1913

OBJECTIVE: To describe differences in the 22 y mortality risk associated with body mass index (BMI), body fat or fat-free mass, in order to examine if the differential health consequences of fat and fat-free mass may be responsible for elevated mortality rates at both high and low BMI. DESIGN: Prospective cohort study, a 22 y follow-up. SETTING: General community. The study of men born in 1913, Gothenburg. SUBJECTS: 787 men aged 60 y. MAIN OUTCOME MEASURES: Number and time of total deaths from 1973 to 1995. RESULTS: The risk of dying was a linear function of percentage fat and fat-free mass, and increased from a relative risk of 1.00 in men belonging to the lowest fifth to 1.4 (95% confidence interval 1.11-1.99) in men in the highest fifth of percentage fat mass. For BMI the lowest risk was observed for men belonging to the middle fifth of BMI. When the relative risk was set at 1.00 for subjects belonging to the middle fifth of BMI the risk associated with the low BMI fifth was 1.3 (95% confidence interval 0.94-1.68) and that with the highest fifth was 1. 5 (95% confidence interval 1.09-1.96). Analyses including both body fat and fat-free mass showed that total mortality was a linear increasing function of high fat and low fat-free mass. CONCLUSION: The apparent U-shaped association between BMI and total mortality may be the result of compound risk functions from body fat and fat-free mass. International Journal of Obesity (2000)24, 33-37     

Muscle strength and body mass index as long-term predictors of mortality in initially healthy men

BACKGROUND: Muscle weakness, low body weight, and chronic diseases are often observed in the same people; however, the association of muscle strength with mortality, independent of disease status and body weight, has not been elucidated. The aim was to assess hand grip strength as a predictor of all-cause mortality within different levels of body mass index (BMI) in initially disease-free men. METHODS: Mortality was followed prospectively over 30 years. Maximal hand grip strength tests and BMI assessments were done at baseline in 1965 to 1970. The participants were 6040 healthy men aged 45 to 68 years at baseline living on Oahu, Hawaii. RESULTS: The death rates per 1000 person years were 24.6 in those with BMI <20, 18.5 in the middle BMI category, and 18.0 in those with BMI > or = 25. For grip strength tertiles, the mortality rates were 24.8 in the lowest, 18.5 in the middle, and 14.0 in the highest third. In Cox regression models, within each tertile of grip strength, BMI showed only minimal effect on mortality. In contrast, in each category of BMI there was a gradient of decreasing mortality risk with increasing grip strength. Among those with BMI <20, the adjusted relative risks (RRs) of mortality over 30 years were 1.36 (95% confidence interval 1.14-1.63) for those in the lowest third of strength at baseline, 1.27 (1.02-1.58) in the middle, and 0.92 (0.66-1.29) in the highest third. Correspondingly, for those with BMI 20-24.99, the RRs of death were 1.25 (1.08-1.45), 1.14 (1.00-1.32), and 1.0 (reference) in the lowest, middle, and highest third of grip strength, respectively. In those with BMI > or =25, the RRs were 1.39 (1.16-1.65) in the lowest, 1.27 (1.08-1.49) in the middle, and 1.14 (0.98-1.32) in the highest third of grip strength. Models were adjusted for age, education, occupation, smoking, physical activity, and body height. CONCLUSIONS: In healthy middle-aged men, long-term mortality risk was associated with grip strength at baseline, independent of BMI. The possible interpretation of the finding is that early life influences on muscle strength may have long-term implications for mortality. Additionally, higher strength itself may provide greater physiologic and functional reserve that protects against mortality.     

Body mass index, circulating levels of sex-steroid hormones, IGF-I and IGF-binding protein-3: a cross-sectional study in healthy women

OBJECTIVE: Excess weight has been associated with increased risk of cancer at several organ sites. In part, this effect may be modulated through alterations in the metabolism of sex steroids and IGF-I related peptides. The objectives of the study were to examine the association of body mass index (BMI) with circulating androgens (testosterone, androstenedione and dehydroepiandrosterone sulfate (DHEAS)), estrogens (estrone and estradiol), sex hormone-binding globulin (SHBG), IGF-I and IGF-binding protein (IGFBP)-3, and the relationship between sex steroids, IGF-I and IGFBP-3. DESIGN AND METHODS: A cross-sectional analysis was performed using hormonal and questionnaire data of 620 healthy women (177 pre- and 443 post-menopausal). The laboratory measurements of the hormones of interest were available from two previous case-control studies on endogenous hormones and cancer risk. RESULTS: In the pre-menopausal group, BMI was not related to androgens and IGF-I. In the post-menopausal group, estrogens, testosterone and androstenedione increased with increasing BMI. The association with IGF-I was non-linear, with the highest mean concentrations observed in women with BMI between 24 and 25. In both pre- and post-menopausal subjects, IGFBP-3 did not vary across BMI categories and SHBG decreased with increasing BMI. As for the correlations between peptide and steroid hormones, in the post-menopausal group, IGF-I was positively related to androgens, inversely correlated with SHBG, and not correlated with estrogens. In the pre-menopausal group, similar but weaker correlations between IGF-I and androgens were observed. CONCLUSIONS: These observations offer evidence that obesity may influence the levels of endogenous sex-steroid and IGF-related hormones in the circulation, especially after menopause. Circulating IGF-I, androgens and SHBG appear to be related to each other in post-menopausal women.     

Plasma ghrelin, body fat, insulin resistance, and smoking in clinically healthy men: the atherosclerosis and insulin resistance study

The purpose of the study was to examine whether insulin sensitivity was associated with fasting plasma ghrelin concentrations in a population-based sample of 58-year-old clinically healthy Caucasian men. The methods used were dual-energy x-ray absorptiometry (DXA) for measurement of body composition and a conventional euglycemic hyperinsulinemic clamp, measuring glucose infusion rate (GIR) that was adjusted for fat-free mass. Plasma ghrelin was measured by radioimmunoassay. The results showed that ghrelin was not associated with GIR adjusted for fat-free mass or with GIR adjusted for body mass, and body fat, or waist circumference. Plasma ghrelin correlated negatively to body fat (-0.46, P<.001) and waist circumference (-0.45, P<.001). Ghrelin was also inversely related to systolic and diastolic blood pressure (r=-.29 and r=-0.34, respectively, P<.01) and positively to high-density lipoprotein (HDL) cholesterol (0.33, P<.01), and low-density lipoprotein (LDL) particle size (0.34, P<.001), but these associations did not remain after adjustment for body fat. Plasma ghrelin was associated with current smoking independent of waist circumference. Among current smokers, circulating plasma concentrations were higher in those who had smoked during the hour preceding the blood sample than those who had smoked 2 to 12 hours ago (P=.043). The conclusion is that whole body insulin sensitivity was not associated with plasma ghrelin concentrations. Body fatness was the strongest determinant of circulating ghrelin. It was found that acute smoking may affect ghrelin levels.     

Body mass index, leptin, and ambulatory blood pressure variability in healthy adults

ObjectiveTo investigate the association between body mass index (BMI) and 24-h ambulatory blood pressure (ABP) variability, and to assess whether leptin might act as a mediator of this association.MethodsA cross-sectional study in healthy, normotensive men and women (n = 156). BMI was derived from direct height and weight measurements made on each participant. All participants underwent 24-h ABP monitoring, and two measures of ABP variability were derived – the weighted standard deviation (wSD) and the average real variability (ARV). Plasma leptin was measured using an enzyme lined immunosorbant assay.ResultsIn linear regression models adjusted for demographic factors, glucose, creatinine, lipids, and mean ABP, BMI showed positive and statistically significant associations with diastolic wSD, and systolic and diastolic ARV. For those in the low, intermediate, and high BMI groups, mean values for diastolic wSD were 7.7, 7.9, and 8.5 mmHg, respectively (p = .02); mean values of systolic ARV were 8.2, 8.2, and 9.0 mmHg, respectively (p = .02); and mean values of diastolic ARV were 6.7, 7.0, and 7.5 mmHg, respectively (p = .01). Similarly, leptin showed positive and statistically significant associations with measures of wSD and ARV. When BMI was entered as an ordinal variable in regression models for wSD and ARV, adjustment for leptin attenuated significant ordinal BMI coefficients by as much as 60%, suggesting a mediating role for leptin.ConclusionIn healthy adults, BMI and leptin show positive associations with ABP variability, and leptin may play a mediating role in this association.     

Analysis of the relationship between body mass index, insulin resistance, and beta-cell function: a cross-sectional study using the minimal model

The objective of our research was to identify the mathematical model that would best define the relationship between obesity, insulin resistance (IR), and beta-cell function. Eighty-seven healthy subjects with a wide range of body mass index (BMI) were studied. Insulin sensitivity (IS) was calculated using Bergman's minimal model. Acute insulin response (AIRg) was calculated as the secretion of insulin during the first 10 minutes following a glucose bolus. IS x AIRg was used as an index of insulin-mediated glucose uptake (IMGU). The relationships among BMI, IS, fasting plasma insulin (FPI), and AIRg were studied in linear relationship terms and in terms of the hyperbolic function. Where the best fit was linear, the Jones and Molitoris method was used to investigate whether the 2-line fit was significantly better. The division of the population into BMI quartiles shows that from the third quartile, IS (12.4 +/- 6.0 v 11.0 +/- 6.4 v 4.8 +/- 1.8 v 3.2 +/- 2.0 E-5 min(-1)[pmol/L](-1), P < .01) diminishes. Nevertheless, a plateau was established between the last 3 quartiles for IS x AIRg. AIRg related to BMI via a breakpoint of 29.3 kg . m(-2). The best fits for both the BMI/IS and BMI/FPI relationships were hyperbolic. Our data indicate that obesity represents a continuum of IR, with severity increasing as BMI increases. Nevertheless, above a value of 29 kg . m(-2) and despite great increases in adiposity, IS tends to descend slowly. Moreover, there seems to be an IMGU threshold at a BMI value of approximately 27 kg . m(-2), above which an increase in adiposity leads to a greater fall in IS x AIRg. Furthermore, this threshold also appears to affect pancreatic response to a glucose stimulus.     

Plasma leptin is associated with insulin resistance independent of age, body mass index, fat mass, lipids, and pubertal development in nondiabetic adolescents

OBJECTIVE: The rising epidemic worldwide in overweight and obese children requires urgent attention. Leptin has been found to be associated with body weight control and possibly affects insulin sensitivity. Since insulin resistance is associated with obesity in adults and possibly in adolescents, we set out to investigate the association of plasma leptin level with various anthropometric indices, body fat mass (FM), lipids, and insulin resistance (IR) index in nondiabetic adolescents. DESIGN: A cross-sectional study from three high schools in Taipei City in Taiwan. SUBJECTS: A total of 402 nondiabetic subjects (162 boys and 240 girls; age range, 10-19 y; mean age, 15.8+/-1.9 y, and mean body mass index (BMI), 24.8+/-4.6 kg/m(2)) were recruited. MEASUREMENTS: The fasting plasma leptin, plasma glucose, insulin, lipids, and anthropometric indices including height, weight, waist (WC) and hip circumferences, and waist-to-hip ratio (WHR) were examined. Total body FM and percentage body fat (FM%) were obtained from dual-energy X-ray absorptiometry. The homeostasis model was applied to estimate the degree of IR. RESULTS: The plasma leptin levels were significantly higher in girls (17.45+/-10.13 ng/ml) than boys (8.81+/-6.71 ng/ml, P<0.001). The plasma leptin levels were positively correlated to BMI, WC, WHR, FM, FM%, and triglycerides (TG). The IR index was positively correlated to BMI, WC, WHR, FM, FM%, TG, and leptin. Using the multivariate linear regression models, we found that plasma leptin remains significantly associated with IR index even after adjusting for age, gender, BMI, FM, WC, Tanner stage, and TG. CONCLUSION: Plasma leptin was associated with IR index independent of age, gender, BMI, FM, WC, Tanner stage, and TG. Plasma leptin levels in adolescents could be a predictor for the development of the metabolic syndrome disorders and cardiovascular diseases.     

Association of body mass index with glomerular filtration rate in Japanese: a cross-sectional study in work-site population

It has been shown that aging and hypertension are important risk factors to promote renal damage. However, little data are available on the effect of obesity on the progression of renal damage, especially in young and middle-aged individuals. The aim of this study was to determine the association between body mass index (BMI) and renal function evaluated by estimated glomerular filtration rate (eGFR) in Japanese men. We studied the cross-sectional association of BMI with eGFR in 3872 Japanese men in a work-site population (18-64 y; mean age 42.1 ± 0.2 y). Estimated glomerular filtration rate was calculated by a novel equation for Japanese men. Estimated glomerular filtration rate was negatively correlated with age, systolic blood pressure (SBP), hemoglobin A1c (HbA1c), and BMI. We performed multiple regression analysis, controlling for factors, such as SBP, low-density lipoprotein-cholesterol, gamma-glutamyl transpeptidase, age, HbA1c, and uric acid. The association between age and eGFR was highly statistically significant. In addition, BMI was still significantly associated with eGFR independently of SBP. Moreover, mean eGFR, which was adjusted for age, SBP, HbA1c, serum uric acid, and gamma-glutamyl transpeptidase, decreased from 88.9 mL/min/1.73 m(2) in the first quartile of BMI to 87.5 mL/min/1.73 m(2) in the second, 86.9 mL/min/1.73 m(2) in the third, and 85.9 mL/min/1.73 m(2) in the fourth quartile (test for trend, P < .0001). These results show that a close relationship is present between obesity and decreased eGFR in Japanese men. Keeping appropriate body weight, in addition to appropriate blood pressure, in young and middle age may be important to prevent renal damage in older age.     

Effect of shift work on body mass index: results of a study performed in 319 glucose-tolerant men working in a Southern Italian industry

OBJECTIVE: To examine the influence of shift work on metabolic and cardiovascular risk factors in subjects working in an industry sited in Apulia, Southern Italy. DESIGN: Cross-sectional study of metabolic effects of shift work in glucose tolerant workers in a chemical industry in southern Italy. SUBJECTS: The subjects included 319 glucose tolerant male individuals, aged 35-60 y. MEASUREMENTS: Anthropometric parameters (body mass index (BMI) and waist-to-hip ratio (WHR)), fasting concentrations of glucose, insulin, and lipids (total cholesterol, HDL-cholesterol, triglycerides), the sum of glucose levels during 75 g-oral glucose tolerance test (Sigma-OGTT), and systolic and diastolic blood pressure (SBP and DBP, respectively). RESULTS: The prevalence of obesity was higher among shift workers compared to day workers, whereas body fat distribution was not different between the two groups. Shift workers had higher BMI than day workers, and shift working was associated with BMI, independently of age and work duration. Shift workers had significantly higher SBP levels, which were independently influenced by BMI, but not by shift work, thus suggesting that the difference in SBP may well be mediated by the increased body fatness. CONCLUSION: In workers of an industry sited in Southern Italy, shift work may be directly responsible for increased body fatness and is indirectly associated with higher blood pressure levels and some features of metabolic syndrome.