title: Associations of age-dependent IGF-I SDS with cardiovascular diseases and risk conditions: cross-sectional study in 6773 primary care patients.
abstract: OBJECTIVE
  We aimed at investigating the association of age-dependent IGF-I SDS with diabetes, dyslipidemia, hypertension, and heart diseases, in a large patient sample.
  
  
  BACKGROUND
  IGF-I has been suggested to be associated with several diseases and a prognostic marker for the development of cardiovascular diseases and risk factors. The findings, though, have been inconsistent possibly due to the methodological factors.
  
  
  METHODS
  We studied 6773 consecutive primary care patients, aged 18+ years, in a cross-sectional, epidemiological study in primary care, Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment study. All patients underwent a standardized clinical diagnostic and laboratory assessment. IGF-I levels were measured with an automated chemiluminescence assay system. We calculated the odds ratios (OR) for diseases in quintiles of IGF-I, and additionally analyzed the association of age-dependent IGF-I SDS with these conditions.
  
  
  RESULTS
  After multiple adjustments for confounders, we found increased ORs for coronary artery disease in patients with high IGF-I. Women, but not men, with low IGF-I also showed increased ORs for coronary artery disease. Dyslipidemia was positively associated with IGF-I. Type 2 diabetes showed a curvilinear association with IGF-I SDS.
  
  
  CONCLUSIONS
  The findings suggest the existence of multiple and complex interactions between IGF-I and several health conditions. The complex nature of disease- and subgroup-specific associations along with the methodological factors can be held responsible for divergent findings in previous studies.
authors.affiliation: Institute of Clinical Psychology and Psychotherapy, Technical University of Dresden, 01187, Dresden, Germany. schneider@mpipsykl.mpg.de
authors.forename: Harald Jörn
authors.initials: HJ
authors.lastname: Schneider
authors.forename: Jens
authors.initials: J
authors.lastname: Klotsche
authors.forename: Bernhard
authors.initials: B
authors.lastname: Saller
authors.forename: Steffen
authors.initials: S
authors.lastname: Böhler
authors.forename: Caroline
authors.initials: C
authors.lastname: Sievers
authors.forename: David
authors.initials: D
authors.lastname: Pittrow
authors.forename: Günther
authors.initials: G
authors.lastname: Ruf
authors.forename: Winfried
authors.initials: W
authors.lastname: März
authors.forename: Wolfang
authors.initials: W
authors.lastname: Erwa
authors.forename: Andreas M
authors.initials: AM
authors.lastname: Zeiher
authors.forename: Sigmund
authors.initials: S
authors.lastname: Silber
authors.forename: Hendrik
authors.initials: H
authors.lastname: Lehnert
authors.forename: Hans-Ullrich
authors.initials: HU
authors.lastname: Wittchen
authors.forename: Günter Karl
authors.initials: GK
authors.lastname: Stalla
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000375:Aging; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology*; D015986:Confounding Factors, Epidemiologic; D003324:Coronary Artery Disease / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000453:epidemiology*; D050171:Dyslipidemias / Q000453:epidemiology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D007334:Insulin-Like Growth Factor I / Q000378:metabolism*; D008163:Luminescent Measurements; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D011320:Primary Health Care; D012307:Risk Factors; D017678:Sex Distribution; D012737:Sex Factors
chemical_list: D007334:Insulin-Like Growth Factor I