Literature DB >> 25470644

Body adiposity index as a risk factor for the metabolic syndrome in postmenopausal Caucasian, African American, and Filipina women.

Djeneba Audrey Djibo1, Maria Rosario G Araneta2, Donna Kritz-Silverstein2, Elizabeth Barrett-Connor2, Wilma Wooten3.   

Abstract

AIMS: To investigate the utility of the body adiposity index (BAI) and its association with the metabolic syndrome (MetS) in older Caucasian (n=369), African American (n=336) and Filipina (n=275) women.
METHODS: Dual energy X-ray absorptiometry, anthropometric measures, plasma glucose and medical history were assessed in 1993-1999.
RESULTS: Despite smaller body size, 32.7% of Filipina women had higher MetS compared to African American and Caucasian women based on the National Cholesterol Education Program (NCEP) (32.7% vs 19.6% and 13.3%, respectively) or the International Diabetes Federation (IDF) (42.6% vs 33.0% and 18.7%, respectively ps<0.05). BAI had higher positive correlations with BMI, %body fat (%BF), and %truncal fat in Caucasian than African American and Filipina women. Adjusted for age, smoking, estrogen use, exercise, and alcohol intake, odds of the MetS (NCEP) were 2.08 (95%CI: 1.52-2.85) by BAI, 3.04 (95%CI: 2.11-4.38) by BMI, and 2.13 (95%CI: 1.52-3.00) by %BF for Caucasian women; 0.92 (95%CI: 0.69-1.23) by BAI, 1.44 (95%CI: 1.09-1.90) by BMI, and 1.12 (95%CI: 0.84-1.50) by %BF for African American women; and 1.14 (95%CI: 0.88-1.47) by BAI, 1.51 (95%CI: 1.15-1.97) by BMI, and 0.96 (95%CI: 0.74-1.25) by %BF for Filipinas.
CONCLUSION: BAI was better able to assess adiposity in postmenopausal Caucasian women compared to African American and Filipina women. This index can distinguish ethnic differences in MetS confirmed by %BF.
Copyright © 2014 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adiposity; BAI; Ethnic differences; Metabolic syndrome; Postmenopausal women

Mesh:

Year:  2014        PMID: 25470644      PMCID: PMC4256139          DOI: 10.1016/j.dsx.2014.04.011

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  35 in total

Review 1.  Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition.

Authors:  Scott M Grundy; H Bryan Brewer; James I Cleeman; Sidney C Smith; Claude Lenfant
Journal:  Circulation       Date:  2004-01-27       Impact factor: 29.690

2.  Body mass index and percent body fat: a meta analysis among different ethnic groups.

Authors:  P Deurenberg; M Yap; W A van Staveren
Journal:  Int J Obes Relat Metab Disord       Date:  1998-12

3.  The hypertension detection and follow-up program: Hypertension detection and follow-up program cooperative group.

Authors: 
Journal:  Prev Med       Date:  1976-06       Impact factor: 4.018

4.  Indices of relative weight and obesity.

Authors:  A Keys; F Fidanza; M J Karvonen; N Kimura; H L Taylor
Journal:  J Chronic Dis       Date:  1972-07-01

5.  Ethnic differences in visceral adipose tissue and type 2 diabetes: Filipino, African-American, and white women.

Authors:  Maria Rosario G Araneta; Elizabeth Barrett-Connor
Journal:  Obes Res       Date:  2005-08

Review 6.  Obesity and its comorbid conditions.

Authors:  L Khaodhiar; K C McCowen; G L Blackburn
Journal:  Clin Cornerstone       Date:  1999

7.  Type 2 diabetes and metabolic syndrome in Filipina-American women : a high-risk nonobese population.

Authors:  Maria Rosario G Araneta; Deborah L Wingard; Elizabeth Barrett-Connor
Journal:  Diabetes Care       Date:  2002-03       Impact factor: 19.112

8.  Body fat distribution and insulin resistance in healthy Asian Indians and Caucasians.

Authors:  A Raji; E W Seely; R A Arky; D C Simonson
Journal:  J Clin Endocrinol Metab       Date:  2001-11       Impact factor: 5.958

9.  The prevalence of diabetes mellitus in an adult community as determined by history or fasting hyperglycemia.

Authors:  E Barrett-Connor
Journal:  Am J Epidemiol       Date:  1980-06       Impact factor: 4.897

10.  Waist circumference and not body mass index explains obesity-related health risk.

Authors:  Ian Janssen; Peter T Katzmarzyk; Robert Ross
Journal:  Am J Clin Nutr       Date:  2004-03       Impact factor: 7.045

View more
  7 in total

1.  European Obesity Summit (EOS) - Joint Congress of EASOand IFSO-EC, Gothenburg, Sweden, June 1 - 4, 2016: Abstracts.

Authors: 
Journal:  Obes Facts       Date:  2016-05-25       Impact factor: 3.942

2.  Comparison of anthro-metabolic indicators for predicting the risk of metabolic syndrome in the elderly population: Bushehr Elderly Health (BEH) program.

Authors:  Neda Rabiei; Ramin Heshmat; Safoora Gharibzadeh; Afshin Ostovar; Vahid Maleki; Mehdi Sadeghian; Saba Maleki Birjandi; Iraj Nabipour; Gita Shafiee; Bagher Larijani
Journal:  J Diabetes Metab Disord       Date:  2021-08-28

3.  Relation between metabolic syndrome and body compositions among Chinese adolescents and adults from a large-scale population survey.

Authors:  Tao Xu; Junting Liu; Junxiu Liu; Guangjin Zhu; Shaomei Han
Journal:  BMC Public Health       Date:  2017-04-20       Impact factor: 3.295

4.  Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.

Authors:  Farzad Amirabdollahian; Fahimeh Haghighatdoost
Journal:  J Obes       Date:  2018-11-01

5.  Engaging the ASEAN Diaspora: Type 2 Diabetes Prevalence, Pathophysiology, and Unique Risk Factors among Filipino Migrants in the United States.

Authors:  Maria Rosario Araneta
Journal:  J ASEAN Fed Endocr Soc       Date:  2019-11-09

6.  Sensitivity of various adiposity indices in identifying cardiometabolic diseases in Arab adults.

Authors:  Nasser M Al-Daghri; Omar S Al-Attas; Kaiser Wani; Abdullah M Alnaami; Shaun Sabico; Abdulrahman Al-Ajlan; George P Chrousos; Majed S Alokail
Journal:  Cardiovasc Diabetol       Date:  2015-08-07       Impact factor: 9.951

7.  Prevalence of and lifestyle factors associated with metabolic syndrome determined using multi-level models in Chinese adults from a cross-sectional survey.

Authors:  Tao Xu; Guangjin Zhu; Shaomei Han
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.