title: Impact of impaired fasting glucose and impaired glucose tolerance on arterial stiffness in an older Chinese population: the Guangzhou Biobank Cohort Study-CVD.
abstract: The aim of the study was to compare the impact of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) on vascular function among older Chinese people. A random sample of 671 men and 603 women aged 50 to 85 years without known diabetes from the Guangzhou Biobank Study-CVD was examined in a cross-sectional study. Subjects with no previously confirmed or treated diabetes but with both fasting plasma glucose less than 5.6 mmol/L and 2-hour glucose from 7.8 to less than 11.0 mmol/L were classified as having isolated IGT, and those with no previously confirmed and treated diabetes but with both fasting plasma glucose from 5.6 to less than 7.0 mmol/L and 2-hour glucose less than 7.8 mmol/L were classified as having isolated IFG. A total of 11.0% of the men and 8.6% of the women had isolated IFG, and 17.7% of the men and 18.6% of the women had isolated IGT. The brachial-ankle pulse wave velocity and pulse pressure were increased in both the isolated IFG and isolated IGT subjects compared with the normoglycemia group (both Ps < .001). Compared with subjects with isolated IFG, those with isolated IGT appeared to have a higher age- and sex-adjusted brachial-ankle pulse wave velocity (1543 +/- 22 vs 1566 +/- 17, P = .07) and to be more insulin resistant (2-hour postload insulin: 54.2 +/- 2.13 vs 26.8 +/- 2.99 muU/mL, P < .001), had a worse lipid profile (apolipoprotein [apo] B: 1.07 +/- 0.02 vs 0.97 +/- 0.02 g/L, P < .001; apo B/apo A-1 ratio: 0.80 +/- 0.02 vs 0.69 +/- 0.02, P < .001), but had lower glycosylated hemoglobin levels (6.03% +/- 0.06% vs 5.86% +/- 0.04%, P < .001) (values are mean +/- SE). Subjects with isolated IGT had greater arterial stiffness, probably as a result of being more insulin resistant, with a worse lipid profile than those with isolated IFG. The sole use of fasting glucose level to identify prediabetic people would fail to identify a significant proportion of the at-risk population.
authors.affiliation: Guangzhou No. 12 Hospital, Guangzhou, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Xu
authors.forename: Chao Qiang
authors.initials: CQ
authors.lastname: Jiang
authors.forename: Tai Hing
authors.initials: TH
authors.lastname: Lam
authors.forename: Kar Keung
authors.initials: KK
authors.lastname: Cheng
authors.forename: Xiao Jun
authors.initials: XJ
authors.lastname: Yue
authors.forename: Jie Ming
authors.initials: JM
authors.lastname: Lin
authors.forename: Wei Sen
authors.initials: WS
authors.lastname: Zhang
authors.forename: G Neil
authors.initials: GN
authors.lastname: Thomas
mesh_terms: D000368:Aged / Q000502:physiology*; D055109:Ankle Brachial Index; D001158:Arteries / Q000503:physiopathology*; D001786:Blood Glucose / Q000378:metabolism*; D002318:Cardiovascular Diseases / Q000453:epidemiology; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000453:epidemiology; D005215:Fasting / Q000378:metabolism; D005260:Female; D018149:Glucose Intolerance / Q000453:epidemiology / Q000503:physiopathology*; D005951:Glucose Tolerance Test; D006801:Humans; D006943:Hyperglycemia / Q000097:blood / Q000453:epidemiology; D008019:Life Style; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D011795:Surveys and Questionnaires
chemical_list: D001786:Blood Glucose