title: Trend of lipid ratios associated with well known risk factors of coronary artery disease in different age: a population based study of 31,999 healthy individuals.
abstract: BACKGROUND
  Developing current evidence in order to better assess the rates and pattern of the CAD risk factors among populations is pivotal in CAD risk stratification.
  
  
  METHODS
  A large scale population based survey involving 31,999 healthy people was designed. Risk factors information was provided from medical history, physical examination and laboratory assessments.
  
  
  RESULTS
  Increasing linear trend was observed for: cigarette smoking (CS) (P=0.001), systolic blood pressure (SBP)> 140 mmHg (P=0.001), diastolic blood pressure (DBP)> 90 mmHg (P=0.001), SBP> 120 mmHg (P=0.001), DBP> 80 mmHg (P=0.001), fasting blood glucose (FBS)> 126 Mg/dl (P=0.001), total cholesterol (TC)>200Mg/dl (P=0.001), triglyceride> 200 Mg/dl (P=0.001), TC> 170 Mg/dl (P=0.001), and LDL-c> 130 Mg/dl (P=0.001). Multivariable adjusted magnitudes of associations for risk factors across age groups were statistically different, thus in an age group of 30-40 years: cigarette smoking, high DBP, increased body mass index (BMI), high level of FBS and lower level of education demonstrated strongest associations. In an age group of 40-50 years: CS, high level of DBP, increased BMI, FBS> 126 Mg/dl, and SBP> 120 mmHg, in an age group of 50-60 years: SBP> 120 mmHg, CS, higher level of DBP, and FBS> 126 Mg/dl, and in above 60 years: SBP> 120 mmHg, HDL-c< 45 Mg/dl, C/S and FBS have demonstrated the strongest associations.
  
  
  CONCLUSIONS
  Trends of increment in the mean levels of SBP, DBP, TC, LDL-c and FBS are statistically significant across age decades. Multivariate strength of associations for CAD risk factors demonstrates significant differences across age groups.
authors.affiliation: Tehran University of Medical Sciences, Tehran 1417613151, Iran. znhatmi@yahoo.com
authors.forename: Zinat Nadia
authors.initials: ZN
authors.lastname: Hatmi
authors.forename: Mitra
authors.initials: M
authors.lastname: Mahdavi-Mazdeh
authors.forename: Seyed Saeid
authors.initials: SS
authors.lastname: Hashemi-Nazari
authors.forename: Ebrahim
authors.initials: E
authors.lastname: Hajighasemi
authors.forename: Behnaz
authors.initials: B
authors.lastname: Nozari
authors.forename: Azita
authors.initials: A
authors.lastname: Mahdavi
mesh_terms: D000328:Adult; D000367:Age Factors; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D002784:Cholesterol / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D015331:Cohort Studies; D003324:Coronary Artery Disease / Q000097:blood* / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D050356:Lipid Metabolism / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods; D012307:Risk Factors; D012907:Smoking / Q000009:adverse effects / Q000097:blood / Q000453:epidemiology; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D008078:Cholesterol, LDL; D014280:Triglycerides; D002784:Cholesterol