Literature DB >> 20116888

[Anthropometric parameters as predictors of insulin resistance in overweight and obese adults].

Anel Gómez-García1, Erika Nieto-Alcantar, Carlos Gómez-Alonso, Benigno Figueroa-Nuñez, Cleto Alvarez-Aguilar.   

Abstract

OBJECTIVE: To evaluate which of the anthropometric parameters that estimate overweight and obesity are the best predictors of insulin resistance (IR) in adults from Family Medicine Unit N degrees 80 of IMSS in Morelia, Michoacán, México.
DESIGN: Descriptive cross-sectional study.
SETTING: Family Medicine Unit N 80 of Mexican Social Security Institute in Morelia, Michoacán, Mexico. PARTICIPANTS: A random sample of 147 adults with overweight or obesity. MAIN MEASUREMENTS: Age and sex. Anthropometrics: weight, body mass index (BMI), waist and mid arm circumference, % corporal fat; Skin folds thickness: bicipital, tricipital, subscapularis, abdominal skin folds; analyses: glucose, lipid profile, insulin; clinical: diastolic and systolic pressure, cardiovascular risk and insulin resistance by HOMA > or =2.5.
RESULTS: IR was found in 41.49% of patients. ROC curves were made and the cut off point of bicipital skin fold > or =4.50mm, mid arm > or =27.50 cm were predictors of IR in 97.4%; BMI > or =25kg/m(2) was a predictor of IR in 92.3%, and by linear regression these parameters were the better predictors of IR.
CONCLUSIONS: A total of 41.49% of patients were identified with IR (HOMA > or =2.5). BMI, bicipital skins fold and mid arm were the better predictors of IR. Specific studies are needed to determine the optimum cut off point of different parameters for estimating overweight and obesity in each sector in México. 2009 Elsevier España, S.L. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20116888      PMCID: PMC7024487          DOI: 10.1016/j.aprim.2009.10.015

Source DB:  PubMed          Journal:  Aten Primaria        ISSN: 0212-6567            Impact factor:   1.137


  22 in total

1.  Sensitivity and specificity of the body mass index to assess low percent body fat in African women.

Authors:  Agnes Gartner; Bernard Maire; Pierre Traissac; Jean-Pierre Massamba; Yves Kameli; Vincent Keraudren; Francis Delpeuch
Journal:  Am J Hum Biol       Date:  2000-01       Impact factor: 1.937

2.  Use of waist circumference to predict insulin resistance: retrospective study.

Authors:  Hans Wahrenberg; Katarina Hertel; Britt-Marie Leijonhufvud; Lars-Göran Persson; Eva Toft; Peter Arner
Journal:  BMJ       Date:  2005-04-15

3.  The homeostasis model in the San Antonio Heart Study.

Authors:  S M Haffner; H Miettinen; M P Stern
Journal:  Diabetes Care       Date:  1997-07       Impact factor: 19.112

4.  Analysis of genomic diversity in Mexican Mestizo populations to develop genomic medicine in Mexico.

Authors:  Irma Silva-Zolezzi; Alfredo Hidalgo-Miranda; Jesus Estrada-Gil; Juan Carlos Fernandez-Lopez; Laura Uribe-Figueroa; Alejandra Contreras; Eros Balam-Ortiz; Laura del Bosque-Plata; David Velazquez-Fernandez; Cesar Lara; Rodrigo Goya; Enrique Hernandez-Lemus; Carlos Davila; Eduardo Barrientos; Santiago March; Gerardo Jimenez-Sanchez
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-11       Impact factor: 11.205

5.  Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity.

Authors:  E Bonora; G Targher; M Alberiche; R C Bonadonna; F Saggiani; M B Zenere; T Monauni; M Muggeo
Journal:  Diabetes Care       Date:  2000-01       Impact factor: 19.112

6.  High prevalence of low HDL cholesterol concentrations and mixed hyperlipidemia in a Mexican nationwide survey.

Authors:  C A Aguilar-Salinas; G Olaiz; V Valles; J M Torres; F J Gómez Pérez; J A Rull; R Rojas; A Franco; J Sepulveda
Journal:  J Lipid Res       Date:  2001-08       Impact factor: 5.922

Review 7.  Effect of insulin resistance, dyslipidemia, and intra-abdominal adiposity on the development of cardiovascular disease and diabetes mellitus.

Authors:  Daniel J Rader
Journal:  Am J Med       Date:  2007-03       Impact factor: 4.965

8.  [Dyslipidemia prevalence and its relationship with insulin resistance in a population of apparently healthy subjects].

Authors:  Catarina Munguía-Miranda; Reyna Gabriela Sánchez-Barrera; Daniel Hernández-Saavedra; Miguel Cruz-López
Journal:  Salud Publica Mex       Date:  2008 Sep-Oct

9.  [Interchangeability among the percentages of body fat estimated by mid-arm adipose area, triceps skinfold thickness and arm-to-arm segmental bioimpedance analysis].

Authors:  Vicente Martín Moreno; Juan Benito Gómez Gandoy; María Jesús Antoranz González; Agustín Gómez de la Cámara
Journal:  Rev Esp Salud Publica       Date:  2003 May-Jun

10.  [Cardiovascular risk factors associated to abdominal obesity in apparently healthy subjects].

Authors:  Antonio González-Chávez; Octavio Amancio-Chassin; Sergio Islas-Andrade; Cristina Revilla-Monsalve; Martín Hernández-Q; Agustín Lara-Esqueda; Silvia Naranjo; Martha Rodríguez-Morán; Fernando Guerrero-Romero
Journal:  Rev Med Inst Mex Seguro Soc       Date:  2008 May-Jun
View more
  2 in total

1.  Mid-upper arm circumference as a simple tool for identifying central obesity and insulin resistance in type 2 diabetes.

Authors:  Yanhua Zhu; Qiongyan Lin; Yao Zhang; Hongrong Deng; Xiling Hu; Xubin Yang; Bin Yao
Journal:  PLoS One       Date:  2020-05-21       Impact factor: 3.240

2.  Mid-upper arm circumference is associated with liver steatosis and fibrosis in patients with metabolic-associated fatty liver disease: A population based observational study.

Authors:  Xiaoxiao Wang; Xiaohe Li; Rui Jin; Jia Yang; Rui Huang; Lai Wei; Feng Liu; Huiying Rao
Journal:  Hepatol Commun       Date:  2022-05-13
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.