Literature DB >> 16278693

Prescreening tools for diabetes and obesity-associated dyslipidaemia: comparing BMI, waist and waist hip ratio. The D.E.S.I.R. Study.

B Balkau1, D Sapinho, A Petrella, L Mhamdi, M Cailleau, D Arondel, M A Charles.   

Abstract

OBJECTIVE: To compare the sensitivities of BMI, waist circumference and waist hip ratio (WHR) in identifying subjects who should be screened for diabetes and/or for obesity-associated dyslipidaemia.
DESIGN: Cross-sectional study.
SETTING: Central-western France. PARTICIPANTS: More than 3000 men and women, aged 40-64 years, from the French study: data from an epidemiological study on the insulin resistance syndrome (D.E.S.I.R.). MAIN OUTCOME MEASURES: Sensitivity and specificity for screened diabetes (fasting plasma glucose>or=7.0 mmol/l) and screened dyslipidaemia (triglycerides>or=2.3 mmol/l and/or HDL-cholesterol <0.9/1.1 mmol/l (men/women)) according to BMI, waist circumference and WHR.
RESULTS: Sensitivities increased as more corpulent subjects were screened, but they increased slowly after screening the top 30%: body mass index (BMI)>or=27/26 kg/m(2) (men/women) or waist >or=96/83 cm or WHR>or=0.96/0.83. These values were chosen as thresholds. In men, BMI had a nonsignificantly higher sensitivity than waist or WHR for both diabetes and dyslipidaemia (77 vs 74 and 66% P<0.3, 0.09; 56 vs 54 and 49% P<0.5, 0.16). For women, waist had a slightly higher sensitivity than BMI or WHR (82 vs 77 and 77% P<0.8, 0.7) for diabetes; for dyslipidaemia, waist and WHR had similar sensitivities, higher than for BMI (65 and 67 vs 54% P<0.16, 0.13).
CONCLUSIONS: We propose that for screening in a French population 40-64 years of age, the more obese 30% of the population, identified either by BMI, waist or WHR be screened for diabetes and obesity-associated dyslipidaemia.

Entities:  

Mesh:

Year:  2006        PMID: 16278693      PMCID: PMC2065791          DOI: 10.1038/sj.ejcn.1602308

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  29 in total

1.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III).

Authors: 
Journal:  JAMA       Date:  2001-05-16       Impact factor: 56.272

2.  Screening for type 2 diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2000-01       Impact factor: 19.112

3.  Screening for Type 2 diabetes: an exploration of subjects' perceptions regarding diagnosis and procedure.

Authors:  M C Adriaanse; F J Snoek; J M Dekker; H M van der Ploeg; R J Heine
Journal:  Diabet Med       Date:  2002-05       Impact factor: 4.359

4.  Screening for type 2 diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2004-01       Impact factor: 19.112

5.  Impact of diabetes screening on quality of life.

Authors:  David Edelman; Maren K Olsen; Tara K Dudley; Amy C Harris; Eugene Z Oddone
Journal:  Diabetes Care       Date:  2002-06       Impact factor: 19.112

6.  Does waist circumference add to the predictive power of the body mass index for coronary risk?

Authors:  S Iwao; N Iwao; D C Muller; D Elahi; H Shimokata; R Andres
Journal:  Obes Res       Date:  2001-11

7.  Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in 1913.

Authors:  B Larsson; K Svärdsudd; L Welin; L Wilhelmsen; P Björntorp; G Tibblin
Journal:  Br Med J (Clin Res Ed)       Date:  1984-05-12

8.  Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden.

Authors:  L Lapidus; C Bengtsson; B Larsson; K Pennert; E Rybo; L Sjöström
Journal:  Br Med J (Clin Res Ed)       Date:  1984-11-10

9.  Waist circumference and obesity-associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds.

Authors:  ShanKuan Zhu; ZiMian Wang; Stanley Heshka; Moonseong Heo; Myles S Faith; Steven B Heymsfield
Journal:  Am J Clin Nutr       Date:  2002-10       Impact factor: 7.045

10.  A Danish diabetes risk score for targeted screening: the Inter99 study.

Authors:  Charlotte Glümer; Bendix Carstensen; Annelli Sandbaek; Torsten Lauritzen; Torben Jørgensen; Knut Borch-Johnsen
Journal:  Diabetes Care       Date:  2004-03       Impact factor: 19.112

View more
  7 in total

1.  Screening for diabetes.

Authors:  Beverley Balkau
Journal:  Diabetes Care       Date:  2008-05       Impact factor: 19.112

2.  Obesity among Sudanese adults with diabetes: a population-based survey.

Authors:  Yasmeen A Ali; Ahmed O Almobarak; Heitham Awadalla; Wadie M Elmadhoun; Mohamed H Ahmed
Journal:  Ann Transl Med       Date:  2017-06

3.  Central body fat distribution associates with unfavorable renal hemodynamics independent of body mass index.

Authors:  Arjan J Kwakernaak; Dorien M Zelle; Stephan J L Bakker; Gerjan Navis
Journal:  J Am Soc Nephrol       Date:  2013-04-11       Impact factor: 10.121

4.  Association Between Waist Circumference and Serum Triacylglcerol Status in Type 2 Diabetes Mellitus (T2DM): A Study Performed on a Rural Population in Puducherry.

Authors:  Arunkumar Srinivasan; Prabal Joshi; Srinivasan A Raghavan
Journal:  J Clin Diagn Res       Date:  2013-04-01

5.  Age-related differences in recommended anthropometric cut-off point validity to identify cardiovascular risk factors in ostensibly healthy women.

Authors:  Sreevidya Subramoney; Cecilia Björkelund; Xinxin Guo; Ingmar Skoog; Ingvar Bosaeus; Lauren Lissner
Journal:  Scand J Public Health       Date:  2014-10-07       Impact factor: 3.021

6.  Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).

Authors:  Beverley Balkau; Céline Lange; Leopold Fezeu; Jean Tichet; Blandine de Lauzon-Guillain; Sebastien Czernichow; Frederic Fumeron; Philippe Froguel; Martine Vaxillaire; Stephane Cauchi; Pierre Ducimetière; Eveline Eschwège
Journal:  Diabetes Care       Date:  2008-08-08       Impact factor: 17.152

7.  The Prevalence of Diabetes and Prediabetes in the Adult Population of Jeddah, Saudi Arabia--A Community-Based Survey.

Authors:  Suhad M Bahijri; Hanan A Jambi; Rajaa M Al Raddadi; Gordon Ferns; Jaakko Tuomilehto
Journal:  PLoS One       Date:  2016-04-01       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.