Neck circumference as a simple screening measure for identifying overweight and obese patients

OBJECTIVE: There are numerous methods of assessing overweight and obesity. We undertook an observational study to test a method of identifying overweight or obese patients solely by measuring the circumference of the neck. RESEARCH METHODS AND PROCEDURES: A test sample and a second validation sample included 979 subjects (460 men and 519 women), who visited a family medicine clinic in a southern Israeli urban district for any reason between the randomly chosen months of January and September 1998. Main outcome included neck, waist, and hip circumferences; body mass index (BMI); and waist:hip ratio measures. RESULTS: Pearson's correlation coefficients indicated a significant association between neck circumference (NC) and: BMI (men, r = 0.83; women, r = 0.71; each, p < 0.0001), age (men, r = 0.33; women, r = 0.36; each, p < 0.0001), weight (men, r = 0.7; women, r = 0.81; each, p < 0.0001), waist circumference (men, r = 0.86; women, r = 0.85; each, p < 0.0001), hip circumference (men, r = 0.62; women, r = 0.56; each, p < 0.0001), and waist:hip ratio (men, r = 0.66; women, r = 0.87; each, p < 0.0001). NC > or=37 cm for men and > or =34 cm for women were the best cutoff levels for determining the subjects with BMI > or =25.0 kg/m(2) using the receiver output curve analysis. In the validation unrelated group, the test characteristics were excellent with 98% sensitivity, 89% specificity, and 94% accuracy for men, and 100% sensitivity, 98% specificity, and 99% accuracy for women. NC > or =39.5 cm for men and > or =36.5 cm for women were the best cutoff levels for determining the subjects with BMI > or =30 kg/m(2) using the receiver output curve analysis. In the validation unrelated group, the test characteristics were excellent with 93% sensitivity, 90% specificity, and 91% accuracy for men, and 93% sensitivity, 98% specificity, and 97% accuracy for women. DISCUSSION: NC measurement is a simple and time-saving screening measure that can be used to identify overweight and obese patients. Men with NC <37 cm and women with NC <34 cm are not to be considered overweight. Patients with NC > or =37 cm for men and > or =34 cm for women require additional evaluation of overweight or obesity status.     

Effects of obesity and body fat distribution on lipids and lipoproteins in nondiabetic American Indians: The Strong Heart Study

OBJECTIVES: To examine the relationship between obesity and lipoprotein profiles and compare the effects of total obesity and central adiposity on lipids/lipoproteins in American Indians. RESEARCH METHODS AND PROCEDURES: Participants were 773 nondiabetic American Indian women and 739 men aged 45 to 74 years participating in the Strong Heart Study. Total obesity was estimated using body mass index (BMI). Central obesity was measured as waist circumference. Lipoprotein measures included triglycerides, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, apolipoprotein AI (apoAI), and apolipoprotein B (apoB). Partial and canonical correlation analyses were used to examine the associations between obesity and lipids/ lipoproteins. RESULTS: Women were more obese than men in Arizona (median BMI 32.1 vs. 29.2 kg/m2) and South Dakota and North Dakota (28.3 vs. 28.0 kg/m2), but there was no sex difference in waist circumference. Men had higher apoB and lower apoAI levels than did women. In women, when adjusted for center, gender, and age, BMI was significantly related to HDL cholesterol (r = -0.24, p < 0.001). There was a significant but weak relation with apoAI (r = -0.14, p < 0.001). Waist circumference was positively related to triglycerides (r = 0.14, p < 0.001) and negatively related to HDL cholesterol (r = -0.23, p < 0.001) and apoAI (r = -0.13, p < 0.001). In men, BMI was positively correlated with triglycerides (r = 0.30, p < 0.001) and negatively correlated with HDL cholesterol (r = -0.35, p < 0.001) and apoAI (r = -0.23, p < 0.001). Triglycerides increased with waist circumference (r = 0.30, p < 0.001) and HDL cholesterol decreased with waist circumference (r = -0.36, p < 0.001). In both women and men there was an inverted U-shaped relationship between obesity and waist with LDL cholesterol and apoB. In canonical correlation analysis, waist circumference received a greater weight (0.86) than did BMI (0.17) in women. However, the canonical weights were similar for waist (0.46) and BMI (0.56) in men. Only HDL cholesterol (-1.02) carried greater weight in women, whereas in men, triglycerides (0.50), and HDL cholesterol (-0.64) carried a large amount of weight. All the correlation coefficients between BMI, waist circumference, and the first canonical variable of lipids/lipoproteins or between the individual lipid/lipoprotein variables and the first canonical variable of obesity were smaller in women than in men. Triglycerides and HDL cholesterol showed clinically meaningful changes with BMI and waist circumference in men. All lipid/lipoprotein changes in women in relation to BMI and waist circumference were minimal. DISCUSSION: The main lipoprotein abnormality related to obesity in American Indians was decreased HDL cholesterol, especially in men. Central adiposity was more associated with abnormal lipid/lipoprotein profiles than general obesity in women; both were equally important in men.     

Sagittal abdominal diameter: no advantage compared with other anthropometric measures as a correlate of components of the metabolic syndrome in elderly from the Hoorn Study

BACKGROUND: The sagittal abdominal diameter has been proposed as a useful measure by which to estimate abdominal obesity and as being more strongly related to components of the metabolic syndrome than are other anthropometric measures. OBJECTIVE: The objective was to study which anthropometric measure (ie, sagittal abdominal diameter, waist circumference, waist-to-hip ratio, waist-to-height ratio, or body mass index) is the strongest correlate of components of the metabolic syndrome (ie, glucose and lipid concentrations and blood pressure) in the elderly. DESIGN: The Hoorn Study is a population-based cohort study in older Dutch men and women. Cross-sectional data were analyzed. Age-adjusted Pearson correlations of anthropometric measures with components of the metabolic syndrome were calculated in 826 subjects (389 men, 437 women) aged 56-83 y. Analyses were performed with adjustment for age and stratification for sex and age (<65 or >/=65 y). RESULTS: No single anthropometric measure was consistently correlated more strongly with components of the metabolic syndrome than were the other measures in either men or women. The associations were generally stronger in younger subjects than in older subjects and in women than in men. For example, the correlation between sagittal abdominal diameter and postload glucose was 0.35 (P < 0.001) in younger and 0.14 (P = 0.051) in older men, and the correlation between waist circumference and postload glucose was 0.33 (P < 0.001) in older women and 0.14 (P = 0.062) in older men. CONCLUSION: The use of sagittal abdominal diameter has no advantages over simpler and more commonly used anthropometric measures such as the waist circumference in older men and women.     

Larger thigh and hip circumferences are associated with better glucose tolerance: the Hoorn study

OBJECTIVE: A higher waist-to-hip ratio, which can be due to a higher waist circumference, a lower hip circumference, or both, is associated with higher glucose levels and incident diabetes. A lower hip circumference could reflect either lower fat mass or lower muscle mass. Muscle mass might be better reflected by thigh circumference. The aim of this study was to investigate the contributions of thigh and hip circumferences, independent of waist circumference, to measures of glucose metabolism. RESEARCH METHODS AND PROCEDURES: For this cross-sectional study we used baseline data from the Hoorn Study, a population-based cohort study of glucose tolerance among 2484 men and women aged 50 to 75. Glucose tolerance was assessed by a 75-g oral glucose tolerance test; hemoglobin A(1c) and fasting insulin were also measured. Anthropometric measurements included body mass index (BMI) and waist, hip, and thigh circumferences. RESULTS: Stratified analyses and multiple linear regression showed that after adjustment for age, BMI, and waist circumference, thigh circumference was negatively associated with markers of glucose metabolism in women, but not in men. Standardized beta values in women were -0.164 for fasting, -0.206 for post-load glucose, -0.190 for hemoglobin A(1c) (all p < 0.001), and -0.065 for natural log insulin levels (p = 0.061). Hip circumference was negatively associated with markers of glucose metabolism in both sexes (standardized betas ranging from -0.093 to -0.296, p < 0.05) except for insulin in men. Waist circumference was positively associated with glucose metabolism. DISCUSSION: Thigh circumference in women and hip circumference in both sexes are negatively associated with markers of glucose metabolism independently of the waist circumference, BMI, and age. Both fat and muscle tissues may contribute to these associations.     

Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: San Antonio Heart Study

OBJECTIVE: To use standardized cut-offs of body mass index (BMI), waist circumference, waist-to-hip ratio, and fasting insulin levels to predict the development of metabolic disorders and metabolic syndrome. RESEARCH METHODS AND PROCEDURES: We performed an 8-year follow-up study of 628 non-Hispanic whites and 1340 Mexican Americans, ages 25 to 64 years, from the second cohort of the San Antonio Heart Study. We defined metabolic disorders as dyslipidemia (triglycerides > or =2.26 mM or high-density lipoprotein <0.91 mM in men and <1.17 mM in women), hypertension (blood pressure > or =140 or >=90 mm Hg, or receiving antihypertensive medications), and type 2 diabetes (fasting glucose > or =7.0 mM, 2-hour test glucose > or =11.1 mM, or receiving anti-diabetic medications). People with at least two metabolic disorders were defined as having metabolic syndrome. RESULTS: High waist-to-hip ratio and fasting insulin levels were significant predictors of developing metabolic syndrome. High anthropometric indices remained significant predictors of metabolic syndrome after adjusting for fasting insulin. Waist circumference, BMI, and insulin had similar areas under the receiver operating characteristic curves (0.74 to 0.76). Further multivariate analyses combining these indices showed minimal increase in prediction. Of subjects who had a combination of high BMI (> or =30 kg/m(2)) and high waist circumference (above "Action Level 2"), 32% developed metabolic syndrome, compared with 10% of subjects with both low BMI and low waist circumference. DISCUSSION: These findings support the National Institutes of Health recommendations for reducing the risk of metabolic syndrome. Adjustment for baseline fasting insulin levels had only a small effect on the ability of anthropometric indices to predict the metabolic syndrome.     

Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study

BACKGROUND: A high waist-to-hip ratio is associated with unfavorable cardiovascular disease risk factors. This could be due to either a relatively large waist or a small hip girth. OBJECTIVE: We sought to define the separate contributions of waist girth, hip girth, and body mass index (BMI) to measures of body composition, fat distribution, and cardiovascular disease risk factors. DESIGN: Three-hundred thirteen men and 382 women living in the greater Quebec City area were involved in this cross-sectional study. Percentage body fat, anthropometric measurements, and abdominal fat distribution were obtained and BMI (in kg/m2) and waist-to-hip ratio were calculated. Serum blood lipids were determined from blood samples collected after subjects had fasted overnight RESULTS: A large waist circumference in men and women (adjusted for age, BMI, and hip circumference) was associated significantly with low HDL-cholesterol concentrations (P < 0.05) and high fasting triacylglycerol, insulin, and glucose concentrations (P < 0.01). In women alone, a large waist circumference was also associated with high LDL-cholesterol concentrations and blood pressure. A narrow hip circumference (adjusted for age, BMI, and waist circumference) was associated with low HDL-cholesterol and high glucose concentrations in men (P < 0.05) and high triacylglycerol and insulin concentrations in men and women (P < 0.05). Waist and hip girths showed different relations to body fat, fat-free mass, and visceral fat accumulation. CONCLUSIONS: Waist and hip circumferences measure different aspects of body composition and fat distribution and have independent and often opposite effects on cardiovascular disease risk factors. A narrow waist and large hips may both protect against cardiovascular disease. These specific effects of each girth measure are poorly captured in the waist-to-hip ratio.     

Relationship of serum adiponectin and leptin concentrations with body fat distribution in humans

OBJECTIVE: We investigated whether serum concentrations of adiponectin are determined by body fat distribution and compared the findings with leptin. RESEARCH METHODS AND PROCEDURES: Serum concentrations of adiponectin and leptin were measured by radioimmunoassay (n = 394) and analyzed for correlation with sex, age, and body fat distribution, i.e., waist-to-hip ratio, waist and hip circumference, and subcutaneous adipose tissue area of the lower leg as assessed by magnetic resonance imaging. RESULTS: After adjusting for sex and percentage of body fat, adiponectin was negatively (r = -0.17, p < 0.001) and leptin was positively (r = 0.22, p < 0.001) correlated with waist-to-hip ratio. Leptin, but not adiponectin, correlated with both waist (r = 0.49, p < 0.001) and hip circumference (r = 0.46, p < 0.001). Furthermore, leptin, but not adiponectin, correlated with the proportion of subcutaneous fat of the lower leg cross-sectional area (r = 0.37, p < 0.001). DISCUSSION: These data suggest that both adipocytokines are associated with central body fat distribution, and serum adiponectin concentrations are determined predominantly by the visceral fat compartment.     

Relationship of ghrelin and leptin hormones with body mass index and waist circumference in a random sample of adults

OBJECTIVE: To evaluate the relationship of ghrelin and leptin hormones with body mass index (BMI) and waist circumference in a population-based random sample of adult men and women subsequently categorized from normal weight to severely obese based on BMI criteria. The relationship between total ghrelin and leptin was also evaluated. DESIGN: A cross-sectional study was conducted on adults. METHODS: Two-hundred thirty-three men (n=107) and women (n=126) between the ages of 23 and 75 years were randomly selected from a database of over 600,000 adults who had previously participated in a population-based study conducted by the University of Utah Cardiovascular Genetics Program. Items collected included height, weight, waist circumference, and fasting blood samples. Blood samples were later thawed, and plasma leptin and total ghrelin levels were analyzed with radioimmunoassay kits. RESULTS: Leptin levels were directly associated with BMI (r=0.72, P=0.001) and waist circumference (r=0.71, P=0.0001), whereas total ghrelin was inversely associated with BMI (r=-0.39, P=0.001) and waist circumference (r=-0.37, P=0.001). There were also statistically significant linear changes in means across the BMI categories for both hormones. After controlling for BMI and waist circumference, the highly significant correlation of leptin with ghrelin (r=-0.39) was reduced but still significant (r=-0.17, P=0.01). CONCLUSION: Leptin increases and ghrelin decreases were linear over the five BMI categories, suggesting there is no threshold of BMI where the hormone levels change abruptly. There remain other factors beyond current BMI and waist circumference that induce a correlation of these two hormones. Further understanding of the role that each of these hormones has in influencing appetite and body weight may provide insight into mechanisms involved with obesity.     

Neck and Waist Circumference Biomarkers of Cardiovascular Risk in a Cohort of Predominantly African-American College Students: A Preliminary Study

Receiver operating characteristic curves were constructed to assess the value of measuring neck and waist circumference and waist-to-hip ratio (WHR) as biomarkers of metabolic syndrome in college students (18 to 25 years of age). Participants (n=109) were 92% black, 62.4% female, 45.9% overweight or obese, and 20.2% prehypertensive or hypertensive. Overall, 41 (37.6%) students had one or more risk factors for metabolic syndrome. Percent body fat, assessed using whole-body air-displacement plethysmography, was positively correlated (P<0.0001) with neck and waist circumference (as measured at the midpoint between the right lower rib and suprailiac crest; hereafter “midpoint”). Neck circumference correlated with low-density lipoprotein cholesterol (P≤0.02) and both neck circumference and waist circumference-midpoint correlated with insulin (P≤0.001) and triglycerides (P≤0.002). The best-fit cutoffs were ≥83 cm waist circumference-midpoint and ≥88 cm waist circumference measured at the suprailiac crest for percent body fat in men and ≥75 cm waist circumference-midpoint for metabolic syndrome in women. The proportion of overweight and prehypertensive individuals among self-described healthy students underscores the need for screening tools that identify those who might benefit most from health interventions. Waist circumference-midpoint provides a simple yet sensitive method for the estimation of percent body fat and metabolic syndrome risk in primarily African-American college students. The novel use of neck circumference should be further investigated.     

Body mass index, waist circumference, waist-hip ratio, and glucose intolerance in Chinese and Europid adults in Newcastle, UK.

OBJECTIVE: To compare the prevalence of glucose intolerance (impaired glucose tolerance and diabetes), and its relationship to body mass index (BMI) and waist-hip ratio in Chinese and Europid adults. DESIGN: This was a cross sectional study. SETTING: Newcastle upon Tyne. SUBJECTS: These comprised Chinese and Europid men and women, aged 25-64 years, and resident in Newcastle upon Tyne, UK. MAIN OUTCOME MEASURES: Two hour post load plasma glucose concentration, BMI, waist circumference, and waist-hip ratio. METHODS: Population based samples of Chinese and European adults were recruited. Each subject had a standard WHO oral glucose tolerance test. RESULTS: Complete data were available for 375 Chinese and 610 Europid subjects. The age adjusted prevalences of glucose intolerance in Chinese and Europid men were 13.0% (p = 0.04). Mean BMIs were lower in Chinese men (23.8 v 26.1) and women (23.5 v 26.1) than in the Europids (p values < 0.001), as were waist circumferences (men, 83.3 cm v 90.8, p < 0.001; women, 77.3 cm v 79.2, p < 0.05). Mean waist-hip ratios were lower in Chinese men (0.90 v 0.91, p = 0.02) but higher in Chinese women (0.84 v 0.78, p < 0.001) compared with Europids. In both Chinese and Europid adults, higher BMI, waist circumference, and waist-hip ratio were associated with glucose intolerance. CONCLUSIONS: The prevalence of glucose intolerance in Chinese men and women, despite lower BMIs, is similar to or higher than that in local Europid men and women and intermediate between levels found in China and those in Mauritius. It is suggested that an increase in mean BMI to the levels in the Europid population will be associated with a substantial increase in glucose intolerance in Chinese people.     

Overweight, waist circumference, age, gender, and insulin resistance as risk factors for hyperleptinemia

OBJECTIVE: To evaluate the influence of overweight, waist circumference, age, gender, and insulin resistance as risk factors for hyperleptinemia. RESEARCH METHODS AND PROCEDURES: A cross-sectional study was carried out in a population of 197 subjects: 59 men (21 aged < 60 years and 38 aged > or =60 years) and 138 women (37 aged < 60 years and 101 aged > or =60 years). The groups were stratified by overweight and normal weight. After a 12-hour fasting period, we measured serum leptin and insulin levels with radioimmunoassay methods. We also measured serum glucose and lipid profile. The data were analyzed by means of comparative tests. A variance-stabilizing transformation (natural logarithmic) was used to meet multiple linear regression, analysis of covariance, and logistic regression models. RESULTS: The leptin serum levels were higher and statistically significant in young and older women than they were in men. We observed an interaction between gender and body mass index to explain the difference in leptin levels (p < 0.0001). Our study demonstrated an inverse relationship between leptin with age and high-density lipoprotein cholesterol. In logistic regression analysis, the overweight x gender interaction and waist circumference have a statistically significant influence as independent variables on hyperleptinemia (overweight x gender odds ratio = 6.81; 95% confidence interval, 1.10 to 46.86; p < 0.05 and waist circumference odds ratio = 4.34; 95% confidence interval, 1.47 to 12.83; p = 0.001). DISCUSSION: Women who were overweight or had a higher waist circumference (women > or = 88 cm and men > or = 102 cm) have a significantly higher risk of having hyperleptinemia. The increase in age as an isolated variable is not a risk factor for hyperleptinemia.     

Cross-sectional relationship of pedometer-determined ambulatory activity to indicators of health

OBJECTIVE: To describe the cross-sectional relationship between an objective measure of walking (pedometer-determined steps/day) and general indicators of health, a prior diagnosis of one or more components of the metabolic syndrome, and self-reported occupational activity in a generally sedentary working population. RESEARCH METHODS AND PROCEDURES: Steps/day were compared with previous diagnosis of one or more components of the metabolic syndrome (by self-administered questionnaire) and with general health indicators including BMI, waist circumference, resting heart rate, and blood pressure in 182 subjects in Prince Edward Island, Canada. Study participants were volunteer employees recruited from five workplaces where, in general, the job types were moderately or highly sedentary. RESULTS: Steps/day were 7230 +/- SD 3447 for women (n = 153) and 8265 +/- 2849 (n = 21) for men. Pedometer-determined steps/day were associated inversely with BMI (r = -0.4005, p < 0.0001) in all participants and waist circumference in females only (r = -0.4303, p < 0.0001). There was a low correlation between steps/day and diastolic blood pressure in the whole sample (r = -0.2140, p = 0.0383). Participants who reported a prior diagnosis of one or more components of the metabolic syndrome (hypertension, hypercholesterolemia, heart disease, or type 2 diabetes) took fewer steps/day than healthy participants (p = 0.0254). Pedometer-determined steps/day were positively associated with self-reported occupational activity (p = 0.0002). DISCUSSION: Fewer steps/day are associated with increased BMI, waist circumference, diastolic blood pressure, and components of the metabolic syndrome. Low occupational activity is a contributing factor to low total ambulatory activity.     

Predicting incident diabetes in Jamaica: the role of anthropometry

OBJECTIVE: To evaluate the performance of the body mass index (BMI), waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio (WHTR) in predicting incident diabetes in Jamaica. RESEARCH METHODS AND PROCEDURES: A cohort of 728 nondiabetic adults (290 men and 438 women), ages 25 to 74 years and residents of Spanish Town, Jamaica, were followed for a mean of 4 years. Participants had fasting and 2-hour postchallenge glucose concentrations measured at baseline and follow-up. RESULTS: There were 51 cases of incident diabetes (17 men and 34 women). All indices were independent predictors of diabetes, and none was clearly superior. The area under the receiver operating characteristics curves (95% confidence interval) for BMI was 0.74 (0.59 to 0.88) for men and 0.62 (0.51 to 0.72) for women. For waist circumference, these values were 0.78 (0.65 to 0.91) in men and 0.61 (0.50 to 0.71) in women. Similar results were obtained for WHR and WHTR. "Optimal" cut-off points for BMI were 24.8 kg/m(2) (men) and 29.3 kg/m(2) (women). For waist circumference, these were 88 cm and 84.5 cm for men and women, respectively. Corresponding values for WHR were 0.87 and 0.80 and for WHTR were 0.51 and 0.54, respectively. DISCUSSION: Cut-off points for waist circumference and WHR were similar to those proposed in developed countries for women but lower in men. Waist circumference could be useful in health promotion as an alternative to BMI.     

Relationships between insulin sensitivity and measures of body fat in asymptomatic men and women

OBJECTIVE: To assess whether measures of body fat by DXA scanning can improve prediction of insulin sensitivity (S(I)) beyond what is possible with traditional measures, such as BMI, waist circumference, and waist-to-hip ratio (WHR). RESEARCH METHODS AND PROCEDURES: Frequently sampled intravenous glucose tolerance tests were performed in 256 asymptomatic non-Hispanic white subjects from Rochester, MN (age 19-60 years; 123 men and 133 women) to determine the S(I) index by Bergman's minimal model technique. Height, weight, and waist and hip circumferences were measured for calculation of BMI and WHR; DXA was used to determine fat in the head, upper body, abdomen, and lower body. Linear regression was used to assess their relationships with S(I) after sex stratification and adjustment for age. RESULTS: After controlling for age, increases in traditional and DXA measures of fat were consistently associated with smaller declines in S(I) among women than among men. In men, after controlling for age, all of the predictive information of S(I) was provided by waist circumference (additional R2 = 0.39, p < 0.001); none of the DXA measures improved the ability to predict S(I). In women, after adjustment for age, BMI, and WHR, the only DXA measure that improved the prediction of S(I) was percentage head fat (additional R2 = 0.03, p < 0.001). DISCUSSION: Equivalent increases in most measures of body fat had lesser impact on S(I) in women than in men. In both sexes, the predictive information provided by DXA measures is approximately equal to, but not additive to, that provided by simpler, traditional measures.     

An SNP in the adiponectin gene is associated with decreased serum adiponectin levels and risk for impaired glucose tolerance

Adiponectin is a plasma protein produced by the adipose tissue. Hypoadiponectinemia has been associated with insulin resistance and several components of the metabolic syndrome (MS): type 2 diabetes, obesity, and dyslipidemia. We investigated whether single nucleotide polymorphisms (SNPs) at positions 45 and 276 in the adiponectin gene were associated with features of the MS in 747 unrelated Spanish subjects. The G allele of SNP45 and the G/G genotype of SNP276 were associated with impaired glucose tolerance (p = 0.020 and 0.042, respectively). The G/G genotype for SNP276 was associated with lower serum adiponectin levels as compared with the G/T and T/T genotypes (G/G, 10.10 +/- 0.24 microg/mL; G/T, 10.98 +/- 0.32 microg/mL; T/T, 12.00 +/- 0.92 microg/mL; p = 0.015) even after adjustment for sex, age, BMI, waist-to-hip ratio, homeostasis model assessment index, and the degree of glucose tolerance (p = 0.040). We found a significant negative association of circulating adiponectin levels with waist-to-hip ratio (r = -0.42, p < 0.001), sagittal abdominal diameter (r = -0.24, p < 0.001), triglycerides (r = -0.32, p < 0.001), homeostasis model assessment index (r = -0.14, p = 0.001), and uric acid (r = -0.36, p < 0.001) and positive association with high-density lipoprotein-cholesterol (r = 0.41, p < 0.001). Our findings indicate that serum adiponectin levels are associated with several components of the MS. The SNP276 of the adiponectin gene may affect impaired glucose tolerance and hypoadiponectinemia.     

Anthropometric assessment of 10-y changes in body composition in the elderly

BACKGROUND: An increased central distribution of fat with advancing age is associated with chronic metabolic and cardiovascular abnormalities. Little is known about the magnitude or pattern of fat distribution and its association with healthy aging. OBJECTIVE: This study describes approximately 10-y changes in body composition at 11 anthropometric sites in elderly persons and the metabolic and physical activity factors associated with these changes. DESIGN: Skinfold thicknesses, girths, body fat by hydrodensitometry, physical activity by questionnaire, and metabolic variables were examined twice, 9.4 +/- 1.4 y apart, in 54 men and 75 women aged 60.4 +/- 7.8 y at baseline. RESULTS: Subcutaneous fat declined (-17.2%; P < 0.001), whereas total fat mass increased (7.2%; P < 0.05). Waist and hip circumference changes were the best anthropometric predictors of total fat mass change (r(2) = 0.40-0.65, P < 0.0001). Thigh girth change was more strongly associated with fat-free mass change (r(2) = 0.22, P < 0.01) than with fat mass change (r(2) = 0.07, P < 0.05) in women. An increase in physical activity was associated with an attenuation of thigh girth decline in men and women (F ratio = 5.13, P < 0.007). Traditional metabolic markers of visceral adiposity (triacylglycerol, glucose, and total cholesterol) were not significantly related to the change in waist circumference. CONCLUSIONS: Skinfold thicknesses cannot be used to assess changes in body fat mass because of age-related fat redistribution. Higher levels of physical activity can attenuate the decline in appendicular lean tissue expected over 10 y. Waist and thigh girths, rather than skinfold thicknesses, should be considered for use in longitudinal studies in the elderly because the changes in these girths capture increased abdominal adiposity and sarcopenia, respectively.     

Prospective study of abdominal adiposity and gallstone disease in US men

BACKGROUND: Obesity is an established risk factor for gallstones, but whether abdominal adiposity contributes independently to the risk, particularly in men, remains unclear. OBJECTIVE: The purpose of the study was to examine the associations of abdominal circumference and waist-to-hip ratio, as measures of abdominal adiposity, with the risk of symptomatic gallstone disease in men. DESIGN: We prospectively studied measures of abdominal obesity in relation to the incidence of symptomatic gallstone disease in a cohort of 29 847 men who were free of prior gallstone disease and who provided complete data on waist and hip circumferences. Data on weight, height, and waist and hip circumferences were collected in 1986 and in 1987 through self-administered questionnaires. As part of the Health Professionals Follow-Up Study, men reported newly diagnosed symptomatic gallstone disease on questionnaires mailed to them every 2 y. RESULTS: We documented 1117 new cases of symptomatic gallstone disease during 264 185 person-years of follow-up. After adjustment for body mass index and other known or suspected risk factors for gallstones, men with a height-adjusted waist circumference > or = 102.6 cm (40.4 in) had a relative risk of 2.29 (95% CI: 1.69, 3.11; P for trend < 0.001) compared with men with a height-adjusted waist circumference < 86.4 cm (34 in). Men with a waist-to-hip ratio > or = 0.99 had a multivariate relative risk of 1.78 (1.38, 2.28; P for trend < 0.001) compared with men with a waist-to-hip ratio < 0.89. CONCLUSIONS: Our data suggest the presence of a significant association between abdominal adiposity and the incidence of symptomatic gallstone disease. As measures of abdominal adiposity, abdominal circumference and waist-to-hip ratio predict the risk of developing gallstones independently of body mass index.     

Sleep duration in elderly obese patients correlated negatively with intake fatty

ABSTRACT: Study objectives The purpose of the present study was to evaluate the relationship between sleep duration and dietary habits in elderly obese patients treated at an institute of cardiology. METHODS: The fifty-eight volunteers were elderly patients with obesity (classified as obese according to BMI) of both genders, between 60 and 80 years of age. All participants were subjected to assessments of food intake, anthropometry, level of physical activity, and duration of sleep. RESULTS: The men had significantly greater weight, height, and waist circumference than women. Sleep durations were correlated with dietary nutrient compositions only in men. We found a negative association between short sleep and protein intake (r = -0.43; p = 0.02), short sleep and monounsaturated fatty acids intake (r = -0.40; p = 0.03), and short sleep and cholesterol dietary intake (r = -0.50; p = 0.01). CONCLUSIONS: We conclude that mainly in men, volunteers that had short sleep duration showed a preference for high energy-density as fatty food, at least in part, may explain the relationship between short sleep duration and the development of metabolic abnormalities.     

Frequency of soup intake is inversely associated with body mass index, waist circumference, and waist-to-hip ratio, but not with other metabolic risk factors in Japanese men

Several previous studies have shown that the intake of soup negatively correlates with the body mass index (BMI), serum cholesterol and triacylglycerol levels, and blood pressure, suggesting that soup intake reduces metabolic risk. However, the correlation between soup intake and various metabolic risk factors has not been well-established. Especially, it has not been investigated in Asian countries. The aim of this study was to investigate the association of the frequency of soup intake and metabolic risk factors such as BMI, waist circumference, waist-to-hip ratio, serum cholesterol, serum triacylglycerol, blood glucose, and glycated hemoglobin. A cross-sectional study of 103 Japanese men aged 24 to 75 years was conducted. The intake of soup and other food was investigated by semi-quantitative food frequency questionnaires. The correlation between the frequency of soup intake and metabolic risk factors was analyzed by multiple regression analysis with a linear model. The median value of frequency of soup intake was 7.0 times per week. After adjusting for confounding factors such as age, energy intake, energy from alcohol intake, current smoking, and estimated energy expenditure, the frequency of soup intake was found to have a significant inverse association with BMI (P=0.040), waist circumference (P=0.024), and waist-to-hip ratio (P=0.001). However, no significant associations with other metabolic risk factors were found. Frequency of soup intake is negatively correlated with obesity-related physical parameters in Japanese men.