title: Comparison of the prediction by 27 different factors of coronary heart disease and death in men and women of the Scottish Heart Health Study: cohort study.
abstract: OBJECTIVE
  To compare prediction by 27 different factors in men and women of coronary heart disease events, coronary deaths, and deaths from all causes.
  
  
  METHODS
  Cohort study.
  
  
  METHODS
  Scottish population study.
  
  
  METHODS
  In 1984-7 random sampling of residents aged 40-59 produced 11,629 men and women who generated survey clinic questionnaires, examination findings, and blood and urine specimens.
  
  
  METHODS
  Subsequent death, coronary artery surgery, and myocardial infarction. Risks were calculated for each category of factor or fifth of continuous variables. 27 factors were ranked by descending age adjusted hazard ratio of the top to bottom class in each factor, by sex and end point.
  
  
  RESULTS
  Follow up averaged 7.6 years, during which the 5754 men had 404 coronary events, 159 coronary deaths, and 383 deaths and the 5875 women 177, 47, and 208 respectively. The rankings for factors for the three end points were mainly similar in men and women, although hazard ratios were often higher in women. Classical risk factors ranked better for predicting coronary risk than newer ones. Yet strong prediction of coronary risk was no guarantee of significant prediction of all cause mortality. Findings included an anomalous coronary protective role for type A behaviour in women; raised plasma fibrinogen as a strong predictor of all end points; and an unexpectedly powerful protective relation of dietary potassium to all cause mortality.
  
  
  CONCLUSIONS
  These initial unifactorial rankings and comparisons must be interpreted with caution until potential interaction, confounding, and problems of measurement and causation are further explored.
authors.affiliation: Cardiovascular Epidemiology Unit, Ninewells Hospital, and Medical School, Dundee. h.tunstallpedoe@dundee.ac.uk
authors.forename: H
authors.initials: H
authors.lastname: Tunstall-Pedoe
authors.forename: M
authors.initials: M
authors.lastname: Woodward
authors.forename: R
authors.initials: R
authors.lastname: Tavendale
authors.forename: R
authors.initials: R
authors.lastname: A'Brook
authors.forename: M K
authors.initials: MK
authors.lastname: McCluskey
mesh_terms: D000328:Adult; D000367:Age Factors; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D002423:Cause of Death; D002784:Cholesterol / Q000097:blood; D015331:Cohort Studies; D003327:Coronary Disease / Q000453:epidemiology* / Q000401:mortality; D005260:Female; D005340:Fibrinogen / Q000378:metabolism; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D010809:Physical Fitness; D011188:Potassium / Q000378:metabolism; D016016:Proportional Hazards Models; D012307:Risk Factors; D012606:Scotland / Q000453:epidemiology; D012907:Smoking / Q000401:mortality; D012964:Sodium / Q000378:metabolism; D014815:Vitamins / Q000378:metabolism
chemical_list: D001786:Blood Glucose; D014815:Vitamins; D005340:Fibrinogen; D002784:Cholesterol; D012964:Sodium; D011188:Potassium