title: Relationship between serum lipids and dietary and non-dietary factors in a Chinese population.
abstract: OBJECTIVE
  To describe the distribution of serum lipids and examine the relationship between serum lipids and dietary and non-dietary factors.
  
  
  METHODS
  A randomised survey.
  
  
  METHODS
  The survey was carried out in Tianjin, China.
  
  
  METHODS
  Altogether 680 subjects were screened. Forty-nine of those were excluded but 314 men and 317 women remained.
  
  
  METHODS
  The serum lipids were measured by enzymatic methods. The diet was assessed by food weighing plus consecutive individual 3-day food records.
  
  
  RESULTS
  The mean cholesterol concentrations were 4.08 and 3.94 mmol/l in men and women respectively. The mean high-density lipoprotein cholesterol (HDL-C) levels were 1.24 and 1.35 mmol/l, and the mean triglyceride levels were 1.48 and 1.20 mmol/l. The energy intake derived from fat was approximately 29% (6.9% from saturated fat) and the polyunsaturates:saturates ratio of the diet was 1.3 in both sexes. Multiple regression analyses showed that no association was discovered between serum lipids and dietary variables. Age and body mass index (BMI) were strong and independent predictors of serum lipids in both sexes. BMI was positively related to serum total cholesterol, triglyceride and low-density lipoprotein cholesterol (LDL-C), and inversely related to HDL-C. Education was a predictor only in men. Men with a higher education had more coronary heart disease risk factors than men with lower education attainment.
  
  
  CONCLUSIONS
  The Chinese have favourable serum lipid profiles and dietary fat pattern. No relationship was found between lipids and dietary variables, which warrants further studies because these relationships have not been investigated previously in any Chinese population.
authors.affiliation: Nutrition Department, Food Safety Control and Inspection Institute, Tianjin, China.
authors.forename: H G
authors.initials: HG
authors.lastname: Tian
authors.forename: Y
authors.initials: Y
authors.lastname: Nan
authors.forename: X Q
authors.initials: XQ
authors.lastname: Liang
authors.forename: X L
authors.initials: XL
authors.lastname: Yang
authors.forename: R C
authors.initials: RC
authors.lastname: Shao
authors.forename: P
authors.initials: P
authors.lastname: Pietinen
authors.forename: A
authors.initials: A
authors.lastname: Nissinen
mesh_terms: D000293:Adolescent; D000328:Adult; D002681:China / Q000453:epidemiology; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D004041:Dietary Fats; D005260:Female; D006801:Humans; D006949:Hyperlipidemias / Q000097:blood* / Q000453:epidemiology; D008055:Lipids / Q000097:blood*; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D008076:Cholesterol, HDL; D004041:Dietary Fats; D008055:Lipids; D014280:Triglycerides; D002784:Cholesterol