title: Dietary patterns and cardiovascular risk markers in the UK Low Income Diet and Nutrition Survey.
abstract: OBJECTIVE
  Dietary patterns have been associated with various disease risk markers. There is presently little representative data about the dietary patterns of adults on low income. The objective was therefore to identify dietary patterns and how they relate to cardiovascular (CVD) risk markers in this specific population.
  
  
  RESULTS
  Exploratory factor analysis was performed to examine dietary patterns in participants from the UK Low Income Diet and Nutrition Survey (n=2931, aged 49.4+/-20.2 years, 65% female). Dietary intake was assessed from three 24h dietary recalls and blood was drawn for the assessment of CVD risk markers (C-reactive protein [CRP], total and high density lipoprotein [HDL] cholesterol, triglycerides, homocysteine). Results of the factor analysis revealed four interpretable principle components accounting for approximately 16.5% of the total variance, with similar patterns across gender. A 'fast food' diet pattern explained the greatest proportion of the variance (5.5%), followed by 'health aware' (4.1%), 'traditional' (3.6%), and 'sweet' (3.3%) factors. Participants consuming more items from the fast food pattern were younger, more likely to be smokers and employed, but not partnered. The 'health aware' diet pattern was inversely associated with concentrations of CRP and homocysteine, and positively with HDL-cholesterol.
  
  
  CONCLUSIONS
  A fast food dietary pattern, high in saturated fat, explained the greatest proportion of the variance in a representative sample of adults on low income from the UK. There was, however, considerable heterogeneity in dietary intake among this socially deprived group and healthy eating was associated with lower CVD risk markers.
authors.affiliation: Department of Epidemiology and Public Health, University College London, London, UK. m.hamer@ucl.ac.uk
authors.forename: M
authors.initials: M
authors.lastname: Hamer
authors.forename: G D
authors.initials: GD
authors.lastname: Mishra
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D002097:C-Reactive Protein / Q000032:analysis; D002318:Cardiovascular Diseases / Q000097:blood / Q000209:etiology*; D016009:Chi-Square Distribution; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D004032:Diet / Q000009:adverse effects*; D005163:Factor Analysis, Statistical; D057140:Fast Foods / Q000706:statistics & numerical data; D005247:Feeding Behavior; D005260:Female; D015438:Health Behavior; D006710:Homocysteine / Q000097:blood; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D009752:Nutritional Status; D011203:Poverty / Q000706:statistics & numerical data; D018570:Risk Assessment; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D006113:United Kingdom
chemical_list: D015415:Biomarkers; D008076:Cholesterol, HDL; D014280:Triglycerides; D006710:Homocysteine; D002097:C-Reactive Protein; D002784:Cholesterol