title: Fruit and vegetable consumption and cardiovascular risk factors in older Chinese: the Guangzhou biobank cohort study.
abstract: OBJECTIVE
  To examine the adjusted associations of fruit consumption and vegetable consumption with the Framingham score and its components in the non-Western setting of Southern China, considering health status.
  
  
  METHODS
  Linear regression was used to assess the cross-sectional associations of fruit and vegetable consumption with the Framingham score and its components, among 19,518 older Chinese (≥50 years) from the Guangzhou Biobank Cohort Study in Southern China (2003-2006), and whether these differed by health status.
  
  
  RESULTS
  The association of fruit consumption with the Framingham score varied by health status (P-value<0.001), but not vegetable consumption (P-value 0.51). Fruit consumption was associated with a lower Framingham score (-0.04 per portions/day, 95% confidence interval (CI) -0.08 to -0.004) among participants in poor health, adjusted for age, sex, recruitment phase, socio-economic position and lifestyle. However, similarly adjusted, fruit consumption was associated with a higher Framingham score (0.05, 95% CI 0.02 to 0.09) among participants in good health, perhaps due to a positive association of fruit consumption with fasting glucose. Similarly adjusted, vegetable consumption was associated with a higher Framingham score (0.03, 95% CI 0.01 to 0.05) among all participants, with no difference by health status.
  
  
  CONCLUSIONS
  This large study from a non-western setting found that fruit and vegetable consumption was barely associated with the Framingham score, or major CVD risk factors.
authors.affiliation: School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
authors.forename: Yangbo
authors.initials: Y
authors.lastname: Sun
authors.affiliation: Guangzhou Number 12 Hospital, Guangzhou, China.
authors.forename: Chao Qiang
authors.initials: CQ
authors.lastname: Jiang
authors.affiliation: Department of Public Health and Epidemiology, University of Birmingham, Birmingham, United Kingdom.
authors.forename: Kar Keung
authors.initials: KK
authors.lastname: Cheng
authors.affiliation: Guangzhou Number 12 Hospital, Guangzhou, China.
authors.forename: Wei Sen
authors.initials: WS
authors.lastname: Zhang
authors.affiliation: School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
authors.forename: Gabriel M
authors.initials: GM
authors.lastname: Leung
authors.affiliation: School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
authors.forename: Tai Hing
authors.initials: TH
authors.lastname: Lam
authors.affiliation: School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; School of Public Health, CUNY, New York, United States of America.
authors.forename: C Mary
authors.initials: CM
authors.lastname: Schooling
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D018070:Biological Specimen Banks; D001786:Blood Glucose / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000097:blood / Q000175:diagnosis / Q000517:prevention & control*; D002681:China; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D004032:Diet; D005215:Fasting; D005260:Female; D005638:Fruit; D006304:Health Status; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D012923:Social Class; D014675:Vegetables
chemical_list: D001786:Blood Glucose