title: Risks of CHD identified by different criteria of metabolic syndrome and related changes of adipocytokines in elderly postmenopausal women.
abstract: The objective of this study was to assess the capacity of different criteria of metabolic syndrome (MetS) to identify risks of coronary heart diseases (CHDs) and related changes of adipocytokines in postmenopausal women. A cross-sectional study was carried out in 225 community-dwelling, elderly postmenopausal Chinese women (age, 66.77+/-5.09 years) without hormone replacement therapy (HRT). Baseline data such as blood pressure, body mass index (BMI), serum lipid profiles, and fasting glucose were analyzed, and insulin sensitivity was estimated via the homeostasis model assessment for insulin resistance. Serum tumor necrosis factor alpha (TNFalpha), interleukin-6 (IL-6), and adiponectin were measured simultaneously. The prevalence of MetS identified by the Third Report of the National Cholesterol Education Programme Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, the International Diabetes Federation (IDF), the Chinese Diabetes Society (CDS), and the Japanese Society of Internal Medicine (JPN) were 27.31%, 37.34%, 23.29%, and 13.65%, respectively. No significant differences of baseline data were found among different MetS groups, except for a significant higher waist circumference in the JPN-MetS group as compared with other MetS groups. The prevalence of confirmed CHD in the four MetS groups were 26.2%, 18.6%, 26.9%, and 32%, respectively. Odds ratios for CHD were 1.905 (95% CI=1.273-2.851), 1.208 (95% CI=0.778-1.876), 1.997 (95% CI=1.238-3.221), and 2.336 (95% CI=1.119-4.876), respectively. The JPN-MetS group had higher levels of TNFalpha and IL-6, whereas the CDS-MetS group correlated better with lower adiponectin levels. The IDF definition for MetS is the most sensitive one with regard to metabolic disorders, whereas JPN and CDS definitions correlate better with CHD and changes of adipocytokines among the four criteria studied.
authors.affiliation: Department of Geriatrics, Medicine in Growth and Aging, Program in Health and Community Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
authors.forename: Qun-Fang
authors.initials: QF
authors.lastname: Ding
authors.forename: Toshio
authors.initials: T
authors.lastname: Hayashi
authors.forename: Xin-Jun
authors.initials: XJ
authors.lastname: Zhang
authors.forename: Jan
authors.initials: J
authors.lastname: Funami
authors.forename: Ling
authors.initials: L
authors.lastname: Ge
authors.forename: Jun
authors.initials: J
authors.lastname: Li
authors.forename: Xiao-Li
authors.initials: XL
authors.lastname: Huang
authors.forename: Li
authors.initials: L
authors.lastname: Cao
authors.forename: Jun
authors.initials: J
authors.lastname: Zhang
authors.forename: Iguchi
authors.initials: I
authors.lastname: Akihisa
mesh_terms: D054392:Adipokines / Q000097:blood*; D052242:Adiponectin / Q000097:blood; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D003327:Coronary Disease / Q000453:epidemiology*; D016207:Cytokines / Q000097:blood; D006801:Humans; D007328:Insulin / Q000097:blood; D008055:Lipids / Q000097:blood; D024821:Metabolic Syndrome / Q000150:complications*; D008875:Middle Aged; D017698:Postmenopause; D012307:Risk Factors