Body composition changes in diabetes and aging

Aging is associated with changes in body composition, including both fat gain and muscle loss beginning in middle age, and is associated with increased risk of type 2 diabetes. Moreover, changes in fat distribution take place in adults as they age and may contribute to the increased risk of type 2 diabetes. Recent literature has shown differences in the age-related changes in body composition by diabetes status suggesting that some of these changes might not only be a risk factor of the development of diabetes but could also be a consequence of the disease. In this article, we review the current evidence on body composition changes that take place in adults after the diagnosis of type 2 diabetes and compare them to those observed in adults without diabetes as they age. We also review the effect of various lifestyle, pharmacological, and surgical treatments that lower blood glucose on body composition in adults with type 2 diabetes.

Increase in waist circumference over 6 years predicts subsequent cardiovascular disease and total mortality in nordic women

OBJECTIVE

Despite solid evidence of an association between centralized body fatness and subsequent disease risk, little is known about the consequences of changes in body fat distribution. Recently it was shown that large hip circumference (HC), measured once, was protective against total and cardiovascular disease (CVD) mortality in women but that gain or loss in HC was unrelated to these outcomes. This study examines whether a 6-year change in waist circumference (WC) predicts mortality and CVD in the same study sample.

METHODS

Baseline WC and 6-year change in WC as predictors of mortality and CVD were analyzed in 2,492 women from the Danish MONICA study and the Prospective Population Study of Women in Gothenburg, Sweden.

RESULTS

Increase in WC was significantly associated with increased subsequent mortality and CVD adjusting for BMI and other covariates, with some evidence of a J-shaped association. Associations between increase in WC and outcomes were restricted to women with normal weight at baseline and to ever-smokers.

CONCLUSIONS

In contrast to changes in HC which did not predict mortality and CVD, a 6-year increase in WC is strongly predictive, particularly among initially lean women and ever-smokers. This implies the importance of developing strategies to prevent central fat deposition.

Obesity, body fat distribution, and risk of breast cancer subtypes in African American women participating in the AMBER Consortium

African American (AA) women are more likely than white women to be obese and to be diagnosed with ER- and triple-negative (TN) breast cancer, but few studies have evaluated the impact of obesity and body fat distribution on breast cancer subtypes in AA women. We evaluated these associations in the AMBER Consortium by pooling data from four large studies. Cases were categorized according to hormone receptor status as ER+, ER-, and TN (ER-, PR-, and HER2-) based on pathology data. A total of 2104 ER+ cases, 1070 ER- cases (including 491 TN cases), and 12,060 controls were included. Odds ratios (OR) and 95 % confidence intervals (CI) were computed using logistic regression, taking into account breast cancer risk factors. In postmenopausal women, higher recent (most proximal value to diagnosis/index date) BMI was associated with increased risk of ER+ cancer (OR 1.31; 95 % CI 1.02-1.67 for BMI ≥ 35 vs. <25 kg/m(2)) and with decreased risk of TN tumors (OR 0.60; 95 % CI 0.39-0.93 for BMI ≥ 35 vs. <25). High young adult BMI was associated with decreased premenopausal ER+ cancer and all subtypes of postmenopausal cancer, and high recent waist-to-hip ratio with increased risk of premenopausal ER+ tumors (OR 1.35; 95 % CI 1.01-1.80) and all tumor subtypes combined in postmenopausal women (OR 1.26; 95 % CI 1.02-1.56). The impact of general and central obesity varies by menopausal status and hormone receptor subtype in AA women. Our findings imply different mechanisms for associations of adiposity with TN and ER+ breast cancers.

Anthropometric indices of fat distribution and cardiometabolic risk in Parkinson's disease

BACKGROUND & AIMS

To investigate the association between anthropometric indices of body fat distribution and cardiometabolic risk factors in a population of Parkinson's disease (PD) patients.

METHODS & RESULTS

One hundred and fifty-seven PD patients (57.3% males) were studied measuring: waist circumference (WC), waist-hip ratio (WHR), waist-to-height ratio (WtHR), body fat percentage (BF%) by impedance, fasting glucose, serum lipids. Information was collected also on diabetes, hypertension and metabolic syndrome (MetS). Increased cardiometabolic risk was defined by ≥2 MetS component traits other than abdominal adiposity. In the whole population, prevalence of overweight and obesity were 35.0% and 19.2%, respectively. However, prevalence of MetS and elevated cardiometabolic risk were 14.6% and 18.5%, respectively. Prevalence was similar between genders, with one exception: adverse fat distribution according to WC and WHR was more common in females (P < 0.001). Using a multivariable model (adjustments: age, smoking status and disease duration), indices were highly correlated with BF% in both genders. WC and WtHR were associated with the number of MetS criteria and elevated risk. The only cardiometabolic parameters associated with anthropometric indices were HDL in men and triglycerides in women. After adjusting also for BMI all the associations found with anthropometric indices disappeared.

CONCLUSIONS

Despite their correlation with BF%, anthropometric indices of body fat distribution appear to poorly account for the reduced cardiometabolic risk of the PD patient. This finding suggests a low metabolic activity within the adipose tissue. The implications of fat distribution on the cardiometabolic risk of PD patients clearly deserves further investigation.

Body fat, abdominal fat and body fat distribution related to cardiovascular risk factors in prepubertal children

AIM

We analysed whether total body fat (TBF), abdominal fat and body fat distribution are associated with higher composite risk factor scores for cardiovascular disease (CVD) in young children.

METHODS

Cross-sectional study of 238 children aged 8-11 years. TBF and abdominal fat mass (AFM) were measured by Dual-Energy X-Ray Absorptiometry. TBF was expressed as a percentage of body weight (BF%). Body fat distribution was calculated as AFM/TBF. Maximal oxygen uptake (VO(2PEAK) ), systolic and diastolic blood pressure (SBP, DBP), and resting heart rate (RHR) were measured. Mean arterial pressure (MAP) and pulse pressure (PP) were calculated. Left atrial diameter (LA) was measured, and left ventricular mass (LVM) and relative wall thickness (RWT) were calculated. Z-scores were calculated. Sum of z-scores for SBP, DBP, MAP, PP, RHR, LVM, LA, RWT and -VO(2PEAK) was calculated in boys and girls, separately, and used as composite risk factor score.

RESULTS

Pearson correlations between ln BF%, ln AFM and AFM/TBF versus composite risk factor score for boys were r = 0.56, r = 0.59 and r = 0.48, all p < 0.001, and for girls r = 0.45, r = 0.50 and r = 0.48, all p < 0.001.

CONCLUSION

Total body fat, abdominal fat and body fat distribution were all associated with higher composite risk factor scores for CVD in young children.

Body fat abnormality in HIV-infected children and adolescents living in Europe: prevalence and risk factors

OBJECTIVES

To estimate the prevalence of and identify risk factors for lipodystrophy syndrome (LS) and body fat abnormality in a population of HIV-infected children and adolescents.

DESIGN

Cross-sectional observational study.

METHODS

HIV-infected subjects aged 2-18 years were recruited from 15 HIV centers in Belgium, Italy, and Poland between January 2007 and December 2008. Standardized assessments by the patient's long-term clinician were performed to establish the presence of abnormality. Risk factors were explored in logistic regression models for fat abnormality outcomes and LS (abnormality plus dyslipidemia).

RESULTS

Among 426 subjects (70% white), median age was 12.2 years (interquartile range: 9.0-15.0 years) and median duration of antiretroviral therapy was 5.2 years (interquartile range: 2.2-8.8 years). Prevalence was 57% (n = 235) for LS and 42% (n = 176) for fat abnormality; 90 subjects with abnormality were affected in ≥3 locations. Lipoatrophy occurred in 28% (n = 117) of subjects and lipohypertrophy in 27% (n = 115), most commonly in the face and trunk, respectively. In multivariable analysis, white ethnicity, body mass index, ritonavir/lopinavir, and nonnucleoside reverse transcriptase inhibitors were each associated with an increased risk of LS (P < 0.05). White ethnicity, history of Centers for Disease Control and Prevention-defined disease, and stavudine were associated with risk of lipoatrophy (P < 0.05). Increased risk of lipohypertrophy was associated with body mass index and prior HIV disease.

CONCLUSIONS

Fat abnormality was prevalent in close to half of children and adolescents, who had accumulated long treatment durations. Risk of fat abnormality was associated with specific drugs, including stavudine and ritonavir, and other variables. Our results underline the importance of continued surveillance of children treated with antiretroviral therapy.

Association of oxidative stress, iron, and centralized fat mass in healthy postmenopausal women

OBJECTIVE

Centralized adiposity, insulin resistance, excess iron, and elevated oxidative stress place postmenopausal women at risk for atherosclerotic cardiovascular disease (CVD). The objective of this study was to determine the relationship among excess iron, oxidative stress, and centralized fat mass in healthy postmenopausal women.

METHODS

The parent project recruited healthy women for a randomized, double-blind, clinical trial designed to examine the effect of soy isoflavones on bone. At baseline (n = 122), we measured three antioxidant enzymes, iron status indices (serum ferritin among others), oxidative stress indices (oxidized low-density lipoprotein [oxLDL], urinary isoprostanes [PGF(2alpha)], protein carbonyls, DNA damage), and waist, hip, and thigh fat mass using dual-energy x-ray absorptiometry (DXA). We calculated insulin resistance using the homeostasis model assessment (HOMA). Multiple regression analysis was used to determine the CVD risk factors that contributed to oxidative stress and centralized fat mass (waist + hip/thigh = AndGynFM ratio).

RESULTS

Almost 14% (p < 0.0005) of the variability in oxLDL was accounted for by AndGynFM ratio (6.1%, p < 0.0005), age (4.0%, p = 0.012), and serum iron (2.8%, p = 0.053). Similarly, 16% (p < 0.0001) of the variability in PGF(2alpha) was accounted for by the AndGynFM ratio (4.8%, p = 0.011), HOMA (3.9%, p = 0.021), and serum iron (2.7%, p = 0.054). We accounted for 33% (p

CONCLUSIONS

Our study suggests that reducing centralized fat mass and maintaining a favorable lipid profile, antioxidant status, and iron status all may be important in protecting postmenopausal women from atherosclerotic CVD.

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Key Words Collapse

MESH Headings

• Aged
• Biomarkers/blood
• Body Fat Distribution/adverse effects
• Body Mass Index
• Bone Density/drug effects
• Bone and Bones/drug effects
• Coronary Artery Disease/blood
• Coronary Artery Disease/etiology
• Coronary Artery Disease/prevention & control
• Double-Blind Method
• Female
• Ferritins/blood
• Folic Acid/blood
• Humans
• Iron/metabolism
• Middle Aged
• Oxidative Stress/drug effects
• Postmenopause/blood
• Reference Values
• Soybean Proteins/administration & dosage
• Soybean Proteins/pharmacology
• Waist-Hip Ratio

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Grants

• R01 AR046922-01A2 NIAMS NIH HHS
• R01 AR046922 A2 NIAMS NIH HHS
• P01 ES012020 NIEHS NIH HHS
• 95P50AT004155 NCCIH NIH HHS

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The impact of fat distribution on the severity of nonalcoholic fatty liver disease and metabolic syndrome

The patterns of fat distribution and their relationship to severity of nonalcoholic fatty liver disease (NAFLD) are unknown. The objectives of this study were to define the fat distribution patterns and their relationship to histological severity and metabolic parameters in subjects with NAFLD. Anthropometric indices and total body fat were measured in 123 subjects. Fat distribution patterns were defined as: general, abdominal, limb, truncal, and dorsocervical lipohypertrophy (DCL) a novel finding in NAFLD. Eighty-one (66%) of the subjects were obese, and 94 (76%) had abdominal obesity. Thirty-five (28.5%) had DCL. Whereas body mass index (BMI) correlated best with the presence of diabetes (r = 0.22, P < 0.05), waist circumference (WC) correlated best with hypertension (r = 0.2, P < 0.05), hypertriglyceridemia (r = 0.37, P < 0.001), and insulin resistance (homeostasis model of assessment for insulin resistance [r = 0.68, P < 0.0001]). None of the patterns of fat distribution were significantly associated with severity of hepatic steatosis. Abdominal obesity (WC) correlated with inflammation (r = 0.2, P < 0.05) only. DCL correlated significantly with the severity of all histological parameters except steatosis. Whereas DCL was the single greatest contributor to the variability in severity of histological parameters, a model combining BMI, WC, and DCL showed the greatest contribution to the variability in severity of individual histological parameters. The addition of steatosis grade to the model significantly increased its contribution to the range of lobular inflammation.

CONCLUSION

WC predicts metabolic risk profile with the most significance. However, DCL is most strongly associated with severity of steatohepatitis. WC and BMI added modestly to the contribution of DCL to severity of nonalcoholic steatohepatitis.

Central Obesity is an Independent Predictor of Erectile Dysfunction in Older Men

PURPOSE

There is a growing body of evidence in the literature correlating erectile dysfunction to obesity. We investigated the correlation of different anthropometric indexes of central obesity to erectile dysfunction.

MATERIALS AND METHODS

A cross-sectional study was performed including 256 consecutive men 40 years old or older. All men completed the International Index of Erectile Function, and were evaluated routinely with a clinical history, physical examination and blood analysis for fasting serum glucose, lipid profile and serum testosterone. Anthropometric measures included body mass index, waist circumference, sagittal abdominal diameter, maximal abdominal circumference, and waist-hip, waist-thigh, waist-height, sagittal abdominal diameter-thigh and sagittal abdominal diameter-height indexes.

RESULTS

In men 40 to 60 years old the different anthropometric indexes of central obesity were not correlated with the presence of erectile dysfunction (p > 0.05). Men older than 60 years (41%, range 61 to 81) demonstrated an association among erectile dysfunction and waist-hip index (p = 0.04), waist-thigh index (p = 0.02), sagittal abdominal diameter (p = 0.03), sagittal abdominal diameter-height index (p = 0.02) and maximal abdominal circumference (p = 0.04). After logistic regression analysis an independent effect on the presence of erectile dysfunction was observed for waist-hip index (OR 8.56, 95% CI 1.44-50.73), sagittal abdominal diameter (OR 7.87, 95% CI 1.24-49.75), sagittal abdominal diameter-height index (OR 14.21, 95% CI 1.11-182.32), maximum abdominal circumference (OR 11.72, 95% CI 1.73-79.18) and waist circumference (OR 19.37, 95% CI 1.15-326.55).

CONCLUSIONS

This study suggests that central obesity, assessed by several anthropometric indicators, is associated to the presence of erectile dysfunction in men older than 60 years. Sagittal abdominal diameter, sagittal abdominal diameter-height index, maximum abdominal circumference, waist circumference and waist-hip index were useful indicators to predict the presence of erectile dysfunction.

Sleep study in patients with overweight and obesity

Obstructive sleep apnea syndrome (OSAS) is a disorder characterized by repetitive collapse of the pharyngeal airway during sleep, which leads to oxygen desaturation, sleep fragmentation and daytime somnolence. Obesity is one of the most important risk factor for the development of OSAS. The exact mechanisms responsible for the relationship between obesity and OSAS are still unclear. The fat deposits in the pharynx region as well as the reduction in the lung volume have been considered as factors that might be responsible for the increase of the upper airway collapsibility. The aim of our study was to evaluate the correlation between the Body Mass Index (BMI) and sleep study parameters in overweight and obese patients suffering from breathing disturbances during sleep. We studied a group of 106 consecutive obese or overweight patients with a primary complaint of snoring or other breathing disturbances during sleep. In all cases, BMI and sleep studies (PolyMESAM) were examined. We evaluated relationship between the BMI and sleep study parameters such as Respiratory Disturbance Index (RDI), Apnea Index (AI), Desaturation Index (DI) and Average of Lowest Saturation (LSAT). The results showed the lack of significant statistical correlations between BMI and all the sleep parameters studied in the overweight patients and the statistical positive correlation between the BMI and RDI in the obese cases. We conclude that BMI determination may be considered as a simple, yet important predictor, of the OSAS in the group of obese patients.

Is epidural lipomatosis associated with abnormality of body fat distribution? A case report

CASE REPORT

To report a case of epidural lipomatosis in a patient with abnormal adipose tissue distribution, glucose intolerance and mixed hyperlipidemia. A 63-year-old male patient presented with low back pain radiating to the left calf on standing and walking (walking distance <100 m). He weighed 97.5 kg, was 1.73 m tall (BMI 32.6 kg/m2) and had a waist circumference of 113 cm. He had a glucose intolerance after a 75-g glucose oral load test. CT-Myelography revealed voluminous epidural lipomatosis around L4-L5 and L5-S1. Low calorie diet and reduction in alcohol intake achieved a weight loss of 17.5 kg in 7 months (80 kg, BMI 25.8 kg/m2, waist circumference 94 cm) and dramatic improvement in low back pain, walking distance (>500 m) and reduction of lipomatosis on CT-scan. Our case suggests a relationship between central obesity phenotype and epidural lipomatosis. Specific insulin resistance treatment might be proposed for these patients if this hypothesis is confirmed in further studies.