title: Associations between eating competence and cardiovascular disease biomarkers.
abstract: OBJECTIVE
  Explore the relationship between eating competence (EC) and biomarkers of risk for cardiovascular disease (CVD).
  
  
  METHODS
  Secondary analysis of data collected for a larger, 2-way crossover clinical trial.
  
  
  METHODS
  Outpatient clinical research center.
  
  
  METHODS
  Forty-eight hypercholesterolemic (LDL cholesterol > or = 110 mg/dL) men (n = 19) and women (n = 29) 21 to 70 years of age.
  
  
  METHODS
  Participant descriptives, cardiovascular disease biomarker levels, and eating competence (EC) determined by the ecSatter Inventory (ecSI).
  
  
  METHODS
  T tests for differences in eating competence between males and females, analysis of variance for differences in risk between those categorized as EC or not. Associations between EC and baseline biochemical measures, as well as participant characteristics and dietary intake, were assessed by Pearson correlation analyses. Logistic regression estimated relative risk of CVD risk factors from ecSI scores.
  
  
  RESULTS
  Several significant associations were found between EC total and CVD risk factors. Eating competence was positively correlated with HDL-cholesterol, and inversely associated with systolic and diastolic blood pressure. High EC participants had significantly lower ratios of total cholesterol: HDL-cholesterol and triglycerides: HDL-cholesterol. Participants who were not eating competent were 5 times more likely to have LDL-cholesterol levels > or =130 mg/dL and 7 times more likely to have triglyceride levels > or =150 mg/dL.
  
  
  CONCLUSIONS
  Eating competence appears to be a cognitive, affective construct with physiological manifestations, making nutrition education to increase eating competence a medical nutrition therapy.
authors.affiliation: Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
authors.forename: Tricia L
authors.initials: TL
authors.lastname: Psota
authors.forename: Barbara
authors.initials: B
authors.lastname: Lohse
authors.forename: Sheila G
authors.initials: SG
authors.lastname: West
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001794:Blood Pressure; D002318:Cardiovascular Diseases / Q000097:blood*; D002784:Cholesterol / Q000097:blood; D018592:Cross-Over Studies; D003430:Cross-Sectional Studies; D004032:Diet / Q000009:adverse effects / Q000379:methods / Q000523:psychology; D005247:Feeding Behavior / Q000523:psychology; D005260:Female; D005518:Food Preferences; D015438:Health Behavior; D006801:Humans; D006937:Hypercholesterolemia / Q000097:blood*; D007389:Internal-External Control; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D011237:Predictive Value of Tests; D012307:Risk Factors; D017678:Sex Distribution; D013315:Stress, Psychological / Q000523:psychology