Appropriate BMI cut-off values for identification of metabolic risk factors: Third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007)

Ali Zandieh, Alireza Esteghamati, Afsaneh Morteza, Sina Noshad, Omid Khalilzadeh, Mohammad Mehdi Gouya, Manouchehr Nakhjavani

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Aim: To determine the appropriate threshold of body mass index (BMI) associated with increased risk of cardiovascular diseases in a large representative sample of an Iranian population. Subjects and methods: Data of third national surveillance of risk factors of non-communicable diseases (SuRFNCD-2007) were used in this study. Sensitivity, specificity, and shortest distance on the receiver-operating characteristic (ROC) curves were used to determine gender-specific optimal cut-offs of BMI for cardiometabolic risk factors including elevated blood pressure, low high-density lipoprotein cholesterol, high triglycerides, high fasting plasma glucose and for ≥ 2 of the aforementioned risk factors. Results: There was a continuous increase in the prevalence of cardiometabolic risk factors with increasing BMI (p < 0.001). At the BMI of 2529 kg/m2 men were at higher risk of cardiovascular diseases compared to women (p < 0.001). The appropriate BMI cut-offs ranged from 24.626.1 kg/m2 for men and from 26.928.8 kg/m2 for women. The optimal BMI cut-offs for identifying any two or more of those risk factors were 25.2 and 27.3 kg/m2 in men and women, respectively. Conclusion: In men the appropriate BMI cut-offs are ∼25 kg/m2, while in women higher BMI values are associated with risk of cardiovascular diseases.

Original languageEnglish (US)
Pages (from-to)484-489
Number of pages6
JournalAnnals of Human Biology
Volume39
Issue number6
DOIs
StatePublished - Nov 2012
Externally publishedYes

Keywords

  • BMI
  • Metabolic risk factors
  • Obesity
  • Receiver-operating characteristic curve

ASJC Scopus subject areas

  • Epidemiology
  • Physiology
  • Aging
  • Genetics
  • Public Health, Environmental and Occupational Health

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