Predicting the prevalence of cardiometabolic risk factors when clinical data are limited

Value in Health

Volumn 10, Issue SUPPL. 1, 2007, Pages

  Hollenbeak, Christopher S ^a   Spackman, D Eldon ^b   Ben Joseph, Rami H ^c   Okamoto, Lynn J ^d   Luce, Bryan R ^d   Schwartz, J Sanford ^e   Sullivan, Sean D ^b  

^a PENN STATE COLLEGE OF MEDICINE   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c SANOFI   (France)

^d UNITED BIOSOURCE CORPORATION   (United States)

^e UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Cardiovascular risk; Metabolic syndrome; Predictions

Indexed keywords

ABDOMINAL OBESITY; ADULT; AGE DISTRIBUTION; CARDIOVASCULAR RISK; CONTROLLED STUDY; DATA ANALYSIS; DEMOGRAPHY; DIABETES MELLITUS; DYSLIPIDEMIA; ETHNICITY; FEMALE; HEALTH SURVEY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; PREDICTION; PRIORITY JOURNAL; REVIEW; RISK FACTOR; SEX RATIO; SMOKING; UNITED STATES;

EID: 33845739290     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1111/j.1524-4733.2006.00149.x     Document Type: Note

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