TY - JOUR
T1 - Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior, a cross-sectional study
AU - Tsai, Tsung Ying
AU - Hsu, Pai Feng
AU - Lin, Chung Chi
AU - Wang, Yuan Jen
AU - Ding, Yaw Zon
AU - Liou, Teh Ling
AU - Wang, Ying Wen
AU - Huang, Shao Sung
AU - Chan, Wan Leong
AU - Lin, Shing Jong
AU - Chen, Jaw Wen
AU - Leu, Hsin Bang
N1 - Publisher Copyright:
© 2020 Tsai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/11
Y1 - 2020/11
N2 - Background Few studies have reported on the clustering pattern of CVD risk factors, including sedentary behavior, systemic inflammation, and cadiometabolic components in the general population. Objective We aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors. Methods A total of 5606 subjects (3157 male, 51.5±11.7 y/o) were enrolled, and 14 cardiovascular risk factors were analyzed in an exploratory group (n = 3926) and a validation group (n = 1676), including sedentary behaviors. Results Five factor clusters were identified to explain 69.4% of the total variance, including adiposity (BMI, TG, HDL, UA, and HsCRP; 21.3%), lipids (total cholesterol and LDL-cholesterol; 14.0%), blood pressure (SBP and DBP; 13.3%), glucose (HbA1C, fasting glucose; 12.9%), and sedentary behavior (MET and sitting time; 8.0%). The inflammation biomarker HsCRP was clustered with only adiposity factors and not with other cardiometabolic risk factors, and the clustering pattern was verified in the validation group. Conclusion This study confirmed the clustering structure of cardiometabolic risk factors in the general population, including sedentary behavior. HsCRP was clustered with adiposity factors, while physical inactivity and sedentary behavior were clustered with each other.
AB - Background Few studies have reported on the clustering pattern of CVD risk factors, including sedentary behavior, systemic inflammation, and cadiometabolic components in the general population. Objective We aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors. Methods A total of 5606 subjects (3157 male, 51.5±11.7 y/o) were enrolled, and 14 cardiovascular risk factors were analyzed in an exploratory group (n = 3926) and a validation group (n = 1676), including sedentary behaviors. Results Five factor clusters were identified to explain 69.4% of the total variance, including adiposity (BMI, TG, HDL, UA, and HsCRP; 21.3%), lipids (total cholesterol and LDL-cholesterol; 14.0%), blood pressure (SBP and DBP; 13.3%), glucose (HbA1C, fasting glucose; 12.9%), and sedentary behavior (MET and sitting time; 8.0%). The inflammation biomarker HsCRP was clustered with only adiposity factors and not with other cardiometabolic risk factors, and the clustering pattern was verified in the validation group. Conclusion This study confirmed the clustering structure of cardiometabolic risk factors in the general population, including sedentary behavior. HsCRP was clustered with adiposity factors, while physical inactivity and sedentary behavior were clustered with each other.
UR - http://www.scopus.com/inward/record.url?scp=85096257863&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096257863&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0242365
DO - 10.1371/journal.pone.0242365
M3 - Article
C2 - 33196674
AN - SCOPUS:85096257863
SN - 1932-6203
VL - 15
JO - PLoS ONE
JF - PLoS ONE
IS - 11 November
M1 - e0242365
ER -