title: Impact of metabolic syndrome components on incident stroke subtypes: a Chinese cohort study.
abstract: Limited evidence is available on the risk differences in the development of stroke subtypes in relation to particular clustering patterns of the metabolic syndrome (MetS) components. A follow-up study of a Chinese cohort involving 10,292 individuals was performed to assess the roles of cluster patterns of the MetS components in the prediction of incident stroke subtypes. During follow-up, there were 161 incident cases of ischemic strokes and 41 incident cases of hemorrhagic strokes. Among MetS components, only the hypertensive trait was associated with significantly elevated risks of both ischemic and hemorrhagic strokes. Furthermore, MetS with hypertension as components was associated with increased risk of ischemic and hemorrhagic strokes (adjusted hazards ratio (95% confidence interval) was 2.96 (1.94-4.50) and 2.93 (1.25-6.90), respectively) as compared with those who had neither hypertension nor MetS. Notably, as the number of the MetS components increased, the risk of ischemic stroke significantly and dose-dependently increased. This implies a cumulative effect of MetS components in elevating the risk of ischemic stroke. These findings suggest that MetS comprises heterogenous clusters with respect to the risk of developing the subtype of stroke.
authors.affiliation: Graduate Institute of Life Sciences, National Defense Medical Center, Taipei City, Taiwan, Republic of China.
authors.forename: Y-C
authors.initials: YC
authors.lastname: Chen
authors.affiliation: Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, Republic of China.
authors.forename: C-A
authors.initials: CA
authors.lastname: Sun
authors.affiliation: Department of Health Business Administration, Meiho University, Pingtung, Taiwan, Republic of China.
authors.forename: T
authors.initials: T
authors.lastname: Yang
authors.affiliation: Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan, Republic of China.
authors.forename: C-H
authors.initials: CH
authors.lastname: Chu
authors.affiliation: School of Public Health, College of Public Health and Nutrition, Taipei Medical University, Taipei City, Taiwan, Republic of China.
authors.forename: C-H
authors.initials: CH
authors.lastname: Bai
authors.affiliation: 1] Genomics Research Center, Academia Sinica, Taipei City, Taiwan, Republic of China [2] School of Public Health, National Defense Medical Center, Taipei City, Taiwan, Republic of China.
authors.forename: S-L
authors.initials: SL
authors.lastname: You
authors.affiliation: Department of Medicine, Mackay Medical College, New Taipei City, Taiwan, Republic of China.
authors.forename: L-C
authors.initials: LC
authors.lastname: Hwang
authors.affiliation: Digestive Disease Center, Changhua Show-Chwan Memorial Hospital, Changhua County, Taiwan, Republic of China.
authors.forename: C-H
authors.initials: CH
authors.lastname: Chen
authors.affiliation: Department of Neurology, Chang Bing Show-Chwan Memorial Hospital, Changhua County, Taiwan, Republic of China.
authors.forename: C-Y
authors.initials: CY
authors.lastname: Wei
authors.affiliation: 1] Graduate Institute of Life Sciences, National Defense Medical Center, Taipei City, Taiwan, Republic of China [2] School of Public Health, National Defense Medical Center, Taipei City, Taiwan, Republic of China.
authors.forename: Y-C
authors.initials: YC
authors.lastname: Chou
mesh_terms: D000328:Adult; D000368:Aged; D044466:Asian People; D016000:Cluster Analysis; D005260:Female; D005500:Follow-Up Studies; D006306:Health Surveys; D006801:Humans; D015994:Incidence; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000208:ethnology*; D008875:Middle Aged; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D020521:Stroke / Q000145:classification / Q000175:diagnosis / Q000208:ethnology*; D013624:Taiwan / Q000453:epidemiology; D055815:Young Adult