title: [Impact of the waist circumference change on new onset of diabetes in the population with impaired fasting glucose].
abstract: OBJECTIVE
  To explore the impact of the waist circumference change on new onset diabetes (NOD) in the impaired fasting glucose (IFG) population.
  
  
  METHODS
  A total of 12 657 subjects who took part in the health examination from 2006 to 2007 and from 2010 to 2011 from the employees of Kailuan Group and met the inclusion criteria were selected as the observation cohort.Of the 12 657 subjects, 10 697 were male, 1960 were female, with age of (49.9 ± 11.3) years old. According to the baseline waist circumference (WC) measurements and its quartile in the health examinations during 2006 to 2007, the observation population was divided into four groups (first, second, third and the fourth quartile groups) . Multiple logistic regression analysis was used to test the relation between the increasing of WC and NOD.
  
  
  RESULTS
  The incidences in the IFG population of NOD were 4.27% (1884/12 657) in the total population;4.25% (1581/10 697) in male and 4.44% (303/1960) in females, respectively (P < 0.05) . Along with increasing WC in the 4 quartile groups, the incidences of NOD was progressively increased, which were 2.19% (235/3083) , 3.07% (333/3114) , 4.47% (473/3037) and 7.08% (843/3423) , respectively;2.34% (213/2626) , 3.06% (282/2645) , 4.37% (393/2582), 7.00% (693/2844) in males and 1.38% (22/457) , 3.12% (51/469) , 5.05% (80/455) , 7.45% (150/579) in female (P < 0.05) . Multiple logistic regression analysis showed that compared with the first quartile group, the second, third and fourth quartile group had increased risk of NOD after adjusting for age, gender and other risk factors, the OR (95%CI) values were 1.38(1.13-1.68), 1.79 (1.47-2.09) and 3.10 (2.57-3.75), respectively.
  
  
  CONCLUSIONS
  The incidence of NOD in the IFG population increased as the WC increased.
authors.affiliation: Affiliated Kailuan General Hospital of Hebei Union University, Tangshan 063000, China.
authors.forename: Xiu-rong
authors.initials: XR
authors.lastname: Liu
authors.forename: Jun-juan
authors.initials: JJ
authors.lastname: Li
authors.forename: Chun-wei
authors.initials: CW
authors.lastname: Yang
authors.forename: Gui-hua
authors.initials: GH
authors.lastname: Zhang
authors.forename: Li-ming
authors.initials: LM
authors.lastname: Guo
authors.forename: Xi-zhu
authors.initials: XZ
authors.lastname: Wang
authors.forename: Hong-shun
authors.initials: HS
authors.lastname: Zhang
authors.forename: Yan-li
authors.initials: YL
authors.lastname: Li
authors.forename: Shou-ling
authors.initials: SL
authors.lastname: Wu
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000378:metabolism*; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology*; D005260:Female; D018149:Glucose Intolerance / Q000453:epidemiology*; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D055105:Waist Circumference
chemical_list: D001786:Blood Glucose