ArticlePloS one2020
Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior, a cross-sectional study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Changes in Cardiometabolic Risk Factors and Ischaemic Heart Disease Mortality Between 2000 and 2015: A Global Ecological Analysis.Medicina (Kaunas, Lithuania) · 2026Article
- Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders.Brain, behavior, & immunity - health · 2022Article
- Analysis of Risk Factors in Patients with Subclinical Atherosclerosis and Increased Cardiovascular Risk Using Factor Analysis.Diagnostics (Basel, Switzerland) · 2021Article
- Hospital Readmission Risks Screening for Older Adult with Stroke: Tools Development and Validation of a Prediction.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFew studies have reported on the clustering pattern of CVD risk factors, including sedentary behavior, systemic inflammation, and cadiometabolic components in the general population.
objectiveWe aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors.
methodsA 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.
resultsFive 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.
conclusionThis 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.
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