Dietary information improves cardiovascular disease risk prediction models

European Journal of Clinical Nutrition

Volumn 67, Issue 1, 2013, Pages 25-30

  Baik, I ^a   Cho, N H ^b   Kim, S H ^c   Shin, C ^c  

^a Kookmin University   (South Korea)

^b Ajou University School of Medicine   (South Korea)

^c Korea University College of Medicine   (South Korea)

Author keywords

Cardiovascular disease; Dietary predictors; Prospective cohort study; Risk prediction

Indexed keywords

CHOLESTEROL; HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

ADULT; AGE DISTRIBUTION; AGED; AKAIKE INFORMATION CRITERION; ARTICLE; C STATISTICS; CALIBRATION STATISTICS; CARBONATED BEVERAGE; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; COHORT ANALYSIS; CONTROLLED STUDY; DIABETES MELLITUS; DIET CONTAINING MODEL; DIETARY INTAKE; DRINKING BEHAVIOR; FEMALE; HIGH RISK POPULATION; HUMAN; HYPERTENSION; INTEGRATED DISCRIMINATION IMPROVEMENT; LEGUME; MAJOR CLINICAL STUDY; MALE; NET RECLASSIFICATION IMPROVEMENT; OFFICE BASED MODEL; POULTRY; PREDICTION; PREDICTIVE VALUE; PROSPECTIVE STUDY; RISK ASSESSMENT; SMOKING; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; SYSTOLIC BLOOD PRESSURE; TEA; TRADITIONAL RISK FACTOR MODEL;

ADULT; AGED; CALIBRATION; CARDIOVASCULAR DISEASES; COHORT STUDIES; DIET; FEMALE; FOLLOW-UP STUDIES; HUMANS; INCIDENCE; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; PROPORTIONAL HAZARDS MODELS; PROSPECTIVE STUDIES; QUESTIONNAIRES; REPUBLIC OF KOREA; RISK FACTORS;

EID: 84872125436     PISSN: 09543007     EISSN: 14765640     Source Type: Journal    
DOI: 10.1038/ejcn.2012.175     Document Type: Article

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