title: [Logistic regression analysis on relationships between traditional Chinese medicine constitutional types and overweight or obesity].
abstract: OBJECTIVE
  To explore the relationships between traditional Chinese medicine (TCM) constitutional types and overweight or obesity so as to provide evidence for adjusting constitutional bias and preventing and treating obesity.
  
  
  METHODS
  The data comes from a cross-sectional survey on TCM constitution of 18 805 samples aged above 18 in Beijing and 8 provinces (Jiangsu, Anhui, Gansu, Qinghai, Fujian, Jilin, Jiangxi and Henan) in China. The survey of TCM constitution was performed by standardized constitution in Chinese medicine questionnaire (CCMQ). Discriminatory analysis method was used to judge the individual's constitutional type (gentleness type, qi-deficiency type, yang-deficiency type, yin-deficiency type, phlegm-dampness type, dampness-heat type, blood-stasis type, qi-depression type and special diathesis type). The relationships between TCM constitution types and overweight or obesity was investigated by logistic regression analysis.
  
  
  RESULTS
  Compared with gentleness type, the risk of overweight (OR, 2.05; 95% CI, 1.79-2.35) and obesity (OR, 4.34; 95% CI, 3.52-5.36) in phlegm-dampness type is significantly increased; the risk of obesity (OR, 1.60; 95% CI, 1.30-1.98) in qi-deficiency type is significantly higher; the risk of overweight and obesity in yang-deficiency type, blood-stasis type, and qi-depression type is significantly lower.
  
  
  CONCLUSIONS
  Phlegm-dampness type and qi-deficiency type are the main constitutional risk factors of overweight or obesity.
authors.affiliation: School of Administration, Beijing University of Chinese Medicine, Beijing 100029, China.
authors.forename: Yan-bo
authors.initials: YB
authors.lastname: Zhu
authors.forename: Qi
authors.initials: Q
authors.lastname: Wang
authors.forename: Cheng-yu
authors.initials: CY
authors.lastname: Wu
authors.forename: Guo-ming
authors.initials: GM
authors.lastname: Pang
authors.forename: Jian-xiong
authors.initials: JX
authors.lastname: Zhao
authors.forename: Shi-lin
authors.initials: SL
authors.lastname: Shen
authors.forename: Zhong-yuan
authors.initials: ZY
authors.lastname: Xia
authors.forename: Xue
authors.initials: X
authors.lastname: Yan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008516:Medicine, Chinese Traditional; D008875:Middle Aged; D009765:Obesity / Q000139:chemically induced / Q000453:epidemiology*; D050177:Overweight / Q000175:diagnosis / Q000453:epidemiology*; D012307:Risk Factors; D055815:Young Adult