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Division of Nutrition, Physical Activity, and Obesity Centers for Disease Control and Prevention, Atlanta, GA.
Based on cross-sectional analyses, it was suggested that hip circumference divided by height(1.5) minus 18 (the body adiposity index, BAI), could directly estimate percent body fat without the need for further correction for sex or age. We compared the prediction of percent body fat, as assessed by dual-energy x-ray absorptiometry (PBF(DXA)), by BAI, BMI, and circumference (waist and hip) measurements among 1151 adults who had a total body scan by DXA and circumference measurements from 1993 through 2006. After accounting for sex, we found that PBF(DXA) was related similarly to BAI, BMI, waist circumference, and hip circumference. In general, BAI underestimated PBF(DXA) among men (2.5%) and overestimated PBF(DXA) among women (4%), but the magnitudes of these biases varied with the level of body fatness. The addition of covariates and quadratic terms for the body size measures in regression models substantially improved the prediction of PBF(DXA), but none of the models based on BAI could more accurately predict PBF(DXA) than could those based on BMI or circumferences. We conclude that the use of BAI as an indicator of adiposity is likely to produce biased estimates of percent body fat, with the errors varying by sex and level of body fatness. Although regression models that account for the non-linear association, as well as the influence of sex, age and race, can yield more accurate estimates of PBF(DXA), estimates based on BAI are not more accurate than those based on BMI, waist circumference, or hip circumference.
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Division of Endocrinology and Metabolism, Indiana University, Indianapolis, IN The Biostatistics Center, The George Washington University, Rockville, MD Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ Lipid Disorders Clinic, Division of Endocrinology, Diabetes and Metabolism, and the Diabetes Research Institute, Leonard M. Miller School of Medicine, University of Miami, Miami, FL Division of Metabolism, Endocrinology and Nutrition, VA Puget Sound Health Care System and University of Washington, Seattle, WA, USA Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, McGill University, Montreal, QC, Canada Department of Medicine, University College London, London, UK Department of Internal Medicine and Molecular Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, and Program in Genetics and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD Center for Human Genetic Research and Diabetes Research Center (Diabetes Unit), Massachusetts General Hospital, Boston, MA Program in Medical and Population Genetics, Broad Institute, Cambridge, MA Department of Medicine, Harvard Medical School, Boston, MA, USA Department of Genetic and Molecular Epidemiology, Lund University, Malmo, Sweden Department of Nutrition, Harvard School of Public Health, Boston, MA, USA.
Aims  Baseline adiponectin concentrations predict incident Type 2 diabetes mellitus in the Diabetes Prevention Program. We tested the hypothesis that common variants in the genes encoding adiponectin (ADIPOQ) and its receptors (ADIPOR1, ADIPOR2) would associate with circulating adiponectin concentrations and/or with diabetes incidence in the Diabetes Prevention Program population. Methods  Seventy-seven tagging single-nucleotide polymorphisms (SNPs) in ADIPOQ (24), ADIPOR1 (22) and ADIPOR2 (31) were genotyped. Associations of SNPs with baseline adiponectin concentrations were evaluated using linear modelling. Associations of SNPs with diabetes incidence were evaluated using Cox proportional hazards modelling. Results  Thirteen of 24 ADIPOQ SNPs were significantly associated with baseline adiponectin concentrations. Multivariable analysis including these 13 SNPs revealed strong independent contributions from rs17366568, rs1648707, rs17373414 and rs1403696 with adiponectin concentrations. However, no ADIPOQ SNPs were directly associated with diabetes incidence. Two ADIPOR1 SNPs (rs1342387 and rs12733285) were associated with ∼18% increased diabetes incidence for carriers of the minor allele without differences across treatment groups, and without any relationship with adiponectin concentrations. Conclusions  ADIPOQ SNPs are significantly associated with adiponectin concentrations in the Diabetes Prevention Program cohort. This observation extends prior observations from unselected populations of European descent into a broader multi-ethnic population, and confirms the relevance of these variants in an obese/dysglycaemic population. Despite the robust relationship between adiponectin concentrations and diabetes risk in this cohort, variants in ADIPOQ that relate to adiponectin concentrations do not relate to diabetes risk in this population. ADIPOR1 variants exerted significant effects on diabetes risk distinct from any effect of adiponectin concentrations. © 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.
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ABSTRACT: BACKGROUND: Depression and diminished health status are common in adults with diabetes, but few studies have investigated associations with socio-economic environment. The objective of this manuscript was to evaluate the relationship between neighborhood-level SES and health status and depression. METHODS: Individual-level data on 1010 participants at baseline in Look AHEAD (Action for Health in Diabetes), a trial of long-term weight loss among adults with type 2 diabetes, were linked to neighborhood-level SES (% living below poverty) from the 2000 US Census (tracts). Dependent variables included depression (Beck Inventory), and health status (Medical Outcomes Study (SF-36) scale). Multi-level regression models were used to account simultaneously for individual-level age, sex, race, education, personal yearly income and neighborhood-level SES. RESULTS: Overall, the % living in poverty in the participants' neighborhoods varied, mean =11%(range 0-67%). Compared to their counterparts in the lowest tertile of neighborhood poverty (least poverty), those in the highest tertile (most poverty) had significantly lower scores on the role-limitations(physical), role limitations(emotional), physical functioning, social functioning, mental health, and vitality sub-scales of the SF-36 scale. When evaluating SF-36 composite scores, those living in neighborhoods with more poverty had significantly lower scores on the physical health (beta-coefficient [beta]=-1.90 units, 95% CI:-3.40,-0.039), mental health (beta=-2.92 units,-4.31,-1.53) and global health (beta=-2.77 units,-4.21,-1.33) composite scores. CONCLUSION: In this selected group of weight loss trial participants, lower neighborhood SES was significantly associated with poorer health status. Whether these associations might influence response to the Look AHEAD weight loss intervention requires further investigation.
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Division of Endocrinology, Diabetes and Nutrition, St. Luke's Roosevelt Hospital Center, New York, NY.
Objective: To describe the potential long-term malnutrition risk after Roux-en-Y Gastric Bypass (GBP) through an uncommon occurrence of inflammatory bowel disease (IBD) after GBP which posed a serious threat to the nutritional status and life of the patient.Methods: The patient is a 44-year-old woman who developed Crohn's disease 4 years after GBP. The double insult of IBD and GBP resulted in severe malnutrition with an albumin of 0.9 g/dl (3.5-5 g/dL), weight loss, and watery diarrhea with 6 hospital admissions in 7 months.Results: The administration of total parenteral nutrition (TPN) with aggressive macronutrient, vitamin, and mineral repletion resulted in marked improvement in the patient's strength, function, and quality of life, in parallel with improvement in the IBD symptoms.Conclusion: Rarely, IBD develops following GBP but the relationship between the two conditions remains unclear. Regardless, adding to the altered anatomy after bariatric surgery, the further insult of IBD poses a severe threat to the nutritional status of these patients. Malnutrition needs to be recognized and aggressively treated. Nutritional markers should be followed closely in this population to avert onset of severe malnutrition.
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Department of Medicine, University of Texas Medical Branch, Galveston, TX 77555-1060, USA. lmbelalc@utmb.edu
OBJECTIVE Plasminogen activator inhibitor-1 (PAI-1) production by adipose tissue is increased in obesity, and its circulating levels are high in type 2 diabetes. PAI-1 increases cardiovascular risk by favoring clot stability, interfering with vascular remodeling, or both. We investigated in obese diabetic persons whether an intensive lifestyle intervention for weight loss (ILI) would decrease PAI-1 levels independently of weight loss and whether PAI-1 reduction would be associated with changes in fibrinogen, an acute phase reactant, or fibrin fragment D-dimer (D-dimer), a marker of ambient coagulation balance. METHODS AND RESULTS We examined 1-year changes in PAI-1, D-dimer, and fibrinogen levels; adiposity; fitness; glucose; and lipid control with ILI in 1817 participants from Look AHEAD, a randomized trial investigating the effects of ILI, compared with usual care, on cardiovascular events in overweight or obese diabetic persons. Median PAI-1 levels decreased 29% with ILI and 2.5% with usual care (P < 0.0001). Improvements in fitness, glucose control, and high-density lipoprotein cholesterol were associated with decreased PAI-1, independently of weight loss (P = 0.03 for fitness, P < 0.0001 for others). Fibrinogen and D-dimer remained unchanged. CONCLUSIONS Reductions in PAI-1 levels with ILI in obese diabetic individuals may reflect an improvement in adipose tissue health that could affect cardiovascular risk without changing fibrinogen or d-dimer levels. Clinical Trial Registration- URL: http://clinicaltrials.gov/ct2/show/NCT00017953. Unique identifier: NCT00017953.
CMAJ. 2011 Mar 7;:   21398247 
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Background Obesity is known to be associated with an in creased risk of death, but current definitions of obesity are based on data from white populations. We examined the association between body mass index (BMI) and the risk of death in a large population of adult Chinese people. Methods We examined the association between body mass index (BMI) and all-cause mortality prospectively among 58 738 men and 65 718 women aged 20 years and older enrolled in 1998-1999 from four national health screening centres in Taiwan. We used Cox proportional hazards regression analyses to estimate the relative risks of all-cause mortality for different BMI categories during a maximum follow-up of 10 years. Results A total of 3947 participants died during the follow-up period. The lowest risk of death was observed among men and women who had a BMI of 24.0-25.9 (mean 24.9). After adjustment for age, smoking status, alcohol intake, betel-nut chewing, level of physical activity, income level and education level, we observed a U-shaped association between BMI and all-cause mortality. Similar U-shaped associations were observed when we analyzed data by age (20-64 or = 65 years), smoking (never, 〈 10 pack-years or = 10 pack-years) and presence of a pre-existing chronic disease, and after we excluded deaths that occurred in the first three years of follow-up. Interpretation BMI and all-cause mortality had a U-shaped association among adult Chinese people in our study. The lowest risk of death was among adults who had a BMI of 24.0-25.9 (mean 24.9). Our findings do not support the use of a lower cutoff value for overweight and obesity in the adult Chinese population.
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Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan.
BACKGROUND Obesity is known to be associated with an increased risk of death, but current definitions of obesity are based on data from white populations. We examined the association between body mass index (BMI) and the risk of death in a large population of adult Chinese people. METHODS We examined the association between body mass index (BMI) and all-cause mortality prospectively among 58,738 men and 65,718 women aged 20 years and older enrolled in 1998-1999 from four national health screening centres in Taiwan. We used Cox proportional hazards regression analyses to estimate the relative risks of all-cause mortality for different BMI categories during a maximum follow-up of 10 years. RESULTS A total of 3947 participants died during the follow-up period. The lowest risk of death was observed among men and women who had a BMI of 24.0-25.9 (mean 24.9). After adjustment for age, smoking status, alcohol intake, betel-nut chewing, level of physical activity, income level and education level, we observed a U-shaped association between BMI and all-cause mortality. Similar U-shaped associations were observed when we analyzed data by age (20-64 or ≥ 65 years), smoking (never,< 10 pack-years or ≥ 10 pack-years) and presence of a pre-existing chronic disease, and after we excluded deaths that occurred in the first three years of follow-up. INTERPRETATION BMI and all-cause mortality had a U-shaped association among adult Chinese people in our study. The lowest risk of death was among adults who had a BMI of 24.0-25.9 (mean 24.9). Our findings do not support the use of a lower cutoff value for overweight and obesity in the adult Chinese population.
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New York Obesity Research Center, Columbia University College of Physicians and Surgeons, New York, New York.
BACKGROUND: The aim of the present study was to determine the mechanisms underlying Type 2 diabetes remission after gastric bypass (GBP) surgery by characterizing the short- and long-term changes in hormonal determinants of blood glucose. METHODS: Eleven morbidly obese women with diabetes were studied before and 1, 6, and 12 months after GBP; eight non-diabetic morbidly obese women were used as controls. The incretin effect was measured as the difference in insulin levels in response to oral glucose and to an isoglycemic intravenous challenge. Outcome measures were glucose, insulin, C-peptide, proinsulin, amylin, glucagon, glucose-dependent insulinotropic polypeptide (GIP), glucagon-like peptide-1 (GLP-1) levels and the incretin effect on insulin secretion. RESULTS: The decrease in fasting glucose (r = 0.724) and insulin (r = 0.576) was associated with weight loss up to 12 months after GBP. In contrast, the blunted incretin effect (calculated at 22%) that improved at 1 month remained unchanged with further weight loss at 6 (52%) and 12 (52%) months. The blunted incretin (GLP-1 and GIP) levels, early phase insulin secretion, and other parameters of beta-cell function (amylin, proinsulin/insulin) followed the same pattern, with rapid improvement at 1 month that remained unchanged at 1 year. CONCLUSIONS: The data suggest that weight loss and incretins may contribute independently to improved glucose levels in the first year after GBP surgery.
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Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA. mlazo@jhsph.edu
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