title: [Clinical study of physiological age in accordance with the integration of traditional Chinese and Western medicine].
abstract: OBJECTIVE
  TCM and western geriatric medical principles were used to study the assessment of aging in mankind.
  
  
  METHODS
  The authors studied and examined 387 healthy subjects ranging from 45 to 69 years of age. Its indices included 24 TCM senility syndromes, 5 western medical neurophysiological indices. Thereafter, regression analysis was used to deduce a TCM-WM aging formula.
  
  
  RESULTS
  Data from all clinical subjects were processed using integrated TCM-WM, physiological age formula to determine the physiological ages (Y) and their corresponding calendar ages (y). The mean values of the age differential of zero, and a standard deviation of 2.29 years were calculated. From statistical view point, a 95 percentage is an acceptable normal value range. Also, as the objective of the aging assessment only used the higher end of the range. I.E., it is considered there is excessive aging when physiological age is higher than calendar age by 3.37 years. In the process of conducting regression analysis, the authors also discovered that LPO can increase TCM senility syndrome score, whereas CuZnSOD decrease it.
  
  
  CONCLUSIONS
  The above clinical study showed that the regression analysis and age-related TCM indices can comprehensively reflect the natural process of aging in mankind. It also demonstrated the highly predictive nature of TCM senility syndrome score.
authors.affiliation: Academy of Chinese Medicine, Singapore(180001).
authors.forename: Y
authors.initials: Y
authors.lastname: Zhao
authors.forename: Q
authors.initials: Q
authors.lastname: Lin
authors.forename: K
authors.initials: K
authors.lastname: Chen
mesh_terms: D000368:Aged; D000375:Aging / Q000097:blood / Q000276:immunology; D005260:Female; D006801:Humans; D008054:Lipid Peroxides / Q000097:blood; D008297:Male; D008403:Mass Screening; D008516:Medicine, Chinese Traditional; D008875:Middle Aged; D012015:Reference Standards; D012044:Regression Analysis; D013482:Superoxide Dismutase / Q000097:blood*; D016711:Yang Deficiency
chemical_list: D008054:Lipid Peroxides; D013482:Superoxide Dismutase