TY - JOUR
T1 - Hypertension and the insulin-related metabolic syndrome
T2 - Factor analysis in 17,539 Taiwanese
AU - Chuang, Shao Yuan
AU - Chen, Chen Huan
AU - Chou, Pesus
PY - 2004/12
Y1 - 2004/12
N2 - Background: Hypertension is a component of the insulin resistance-related metabolic syndrome. However, the relationship between insulin resistance and hypertension remains unclear. Factor analysis is a statistical technique that extracts several unrelated components from a set of intercorrelated risk variables. Risk variables contributing to the same component may share the same pathophysiological process. Methods: Risk variables from 17,539 Taiwanese (8516 men and 9023 women, aged 30 years and older) randomly selected from a large physical checkup database were analyzed using exploratory factor analysis with principal components method. Results: Factor analysis identified two independent factors for men and women, respectively. In men, a cluster of triglycerides, high-density-lipoprotein cholesterol, waist circumference, and body mass index (metabolic syndrome) accounted for 42%, and a cluster of glucose, systolic blood pressure, waist circumference, and body mass index (hyperglycemia plus hypertension plus obesity) accounted for 19% of the total variance in all variables considered. In women, a cluster of glucose, systolic blood pressure, waist circumference, and body mass index (hyperglycemia plus hypertension plus obesity) accounted for 46%, and a cluster of triglycerides, high-density- lipoprotein cholesterol, waist circumference, and body mass index (metabolic syndrome) accounted for 17% of the total variance. Conclusion: A distinct insulin-resistance-related metabolic syndrome was observed for both men and women in Taiwan. Hypertension was probably linked to the metabolic syndrome through obesity in both Taiwanese men and women.
AB - Background: Hypertension is a component of the insulin resistance-related metabolic syndrome. However, the relationship between insulin resistance and hypertension remains unclear. Factor analysis is a statistical technique that extracts several unrelated components from a set of intercorrelated risk variables. Risk variables contributing to the same component may share the same pathophysiological process. Methods: Risk variables from 17,539 Taiwanese (8516 men and 9023 women, aged 30 years and older) randomly selected from a large physical checkup database were analyzed using exploratory factor analysis with principal components method. Results: Factor analysis identified two independent factors for men and women, respectively. In men, a cluster of triglycerides, high-density-lipoprotein cholesterol, waist circumference, and body mass index (metabolic syndrome) accounted for 42%, and a cluster of glucose, systolic blood pressure, waist circumference, and body mass index (hyperglycemia plus hypertension plus obesity) accounted for 19% of the total variance in all variables considered. In women, a cluster of glucose, systolic blood pressure, waist circumference, and body mass index (hyperglycemia plus hypertension plus obesity) accounted for 46%, and a cluster of triglycerides, high-density- lipoprotein cholesterol, waist circumference, and body mass index (metabolic syndrome) accounted for 17% of the total variance. Conclusion: A distinct insulin-resistance-related metabolic syndrome was observed for both men and women in Taiwan. Hypertension was probably linked to the metabolic syndrome through obesity in both Taiwanese men and women.
KW - Factor analysis
KW - Hypertension
KW - Insulin resistance
KW - Metabolic syndrome
UR - http://www.scopus.com/inward/record.url?scp=13844281418&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:13844281418
SN - 1011-6842
VL - 20
SP - 229
EP - 236
JO - Acta Cardiologica Sinica
JF - Acta Cardiologica Sinica
IS - 4
ER -