Literature DB >> 17495206

Which obesity index best explains prevalence differences in type 2 diabetes mellitus?

Carlos Lorenzo1, Manuel Serrano-Ríos, María T Martínez-Larrad, Clicerio Gonzalez-Villalpando, Ken Williams, Rafael Gabriel, Michael P Stern, Steven M Haffner.   

Abstract

OBJECTIVE: Obesity drives the diabetes epidemic. However, it is not known which obesity index best explains variations in type 2 diabetes mellitus prevalence across populations. RESEARCH METHODS AND PROCEDURES: We analyzed three cross-sectional studies from San Antonio, TX, (Mexican-Americans and non-Hispanic whites, n = 2839), Mexico City (n = 2233), and Spain (n = 2161) (age range, 35 to 64 years). We used the area under the receiver operating characteristic curve (AUC) to assess performance for identifying diabetic subjects and logistic regression analysis to examine differences in diabetes prevalence.
RESULTS: AUCs for waist circumference and BMI were similar in white subjects, but the AUC for waist circumference was greater in Mexican-origin subjects (Mexican men, 0.594 vs. 0.549, p = 0.008; and women, 0.605 vs. 0.557, p = 0.002; Mexican-American men, 0.648 vs. 0.600, p < 0.001; and women, 0.744 vs. 0.693, p < 0.001). The AUC for waist-to-height ratio tended to be greater than that for waist circumference, but statistical significance was demonstrated only in Mexican women (0.628 vs. 0.613, p = 0.044), Mexican-American women (0.774 vs. 0.758, p < 0.001), and Spanish women (0.734 vs. 0.715, p = 0.039). No obesity index was consistently superior to the others for explaining differences in diabetes prevalence among populations.
CONCLUSIONS: In white and Mexican-origin men, waist circumference may be the preferred marker for identifying diabetic subjects on account of its simplicity; in women, waist-to-height ratio may be better. Differences in diabetes prevalence among these populations cannot be attributed to a single measure of obesity.

Entities:  

Mesh:

Year:  2007        PMID: 17495206     DOI: 10.1038/oby.2007.151

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  13 in total

1.  Adiponectin gene variants and abdominal obesity in an Iranian population.

Authors:  Moloud Payab; Mahsa M Amoli; Mostafa Qorbani; Shirin Hasani-Ranjbar
Journal:  Eat Weight Disord       Date:  2016-02-22       Impact factor: 4.652

2.  Effects of individual and combined dietary weight loss and exercise interventions in postmenopausal women on adiponectin and leptin levels.

Authors:  C Abbenhardt; A McTiernan; C M Alfano; M H Wener; K L Campbell; C Duggan; K E Foster-Schubert; A Kong; A T Toriola; J D Potter; C Mason; L Xiao; G L Blackburn; C Bain; C M Ulrich
Journal:  J Intern Med       Date:  2013-03-29       Impact factor: 8.989

3.  High fat diet-induced animal model of age-associated obesity and osteoporosis.

Authors:  Ganesh V Halade; Md M Rahman; Paul J Williams; Gabriel Fernandes
Journal:  J Nutr Biochem       Date:  2010-02-10       Impact factor: 6.048

4.  Waist-to-height ratio, an optimal predictor for obesity and metabolic syndrome in Chinese adults.

Authors:  J Shao; L Yu; X Shen; D Li; K Wang
Journal:  J Nutr Health Aging       Date:  2010-11       Impact factor: 4.075

5.  Measures of adiposity and cardiovascular disease risk factors, New York City Health and Nutrition Examination Survey, 2004.

Authors:  R Charon Gwynn; Magdalena Berger; Renu K Garg; Elizabeth Needham Waddell; Robyn Philburn; Lorna E Thorpe
Journal:  Prev Chronic Dis       Date:  2011-04-15       Impact factor: 2.830

6.  Prevalence of prediabetes and diabetes and metabolic profile of patients with nonalcoholic fatty liver disease (NAFLD).

Authors:  Carolina Ortiz-Lopez; Romina Lomonaco; Beverly Orsak; Joan Finch; Zhi Chang; Valeria G Kochunov; Jean Hardies; Kenneth Cusi
Journal:  Diabetes Care       Date:  2012-02-28       Impact factor: 19.112

7.  Diabetes susceptibility in ethnic minority groups from Turkey, Vietnam, Sri Lanka and Pakistan compared with Norwegians - the association with adiposity is strongest for ethnic minority women.

Authors:  Anne Karen Jenum; Lien My Diep; Gerd Holmboe-Ottesen; Ingar Morten K Holme; Bernadette Nirmar Kumar; Kåre Inge Birkeland
Journal:  BMC Public Health       Date:  2012-03-01       Impact factor: 3.295

8.  BMI is strongly associated with hypertension, and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults.

Authors:  Ren-Nan Feng; Chen Zhao; Cheng Wang; Yu-Cun Niu; Kang Li; Fu-Chuan Guo; Song-Tao Li; Chang-Hao Sun; Ying Li
Journal:  J Epidemiol       Date:  2012-05-10       Impact factor: 3.211

9.  Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women.

Authors:  Farzad Hadaegh; Gita Shafiee; Fereidoun Azizi
Journal:  Ann Saudi Med       Date:  2009 May-Jun       Impact factor: 1.526

10.  Prevalence of obesity and abdominal obesity in the Lausanne population.

Authors:  Pedro Marques-Vidal; Murielle Bochud; Vincent Mooser; Fred Paccaud; Gérard Waeber; Peter Vollenweider
Journal:  BMC Public Health       Date:  2008-09-24       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.