Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior, a cross-sectional study

Autor: Yaw Zon Ding, Ying Wen Wang, Pai Feng Hsu, Shao Sung Huang, Jaw Wen Chen, Tsung Ying Tsai, Wan Leong Chan, Yuan Jen Wang, Shing Jong Lin, Teh Ling Liou, Chung-Chi Lin, Hsin Bang Leu
Rok vydání: 2020
Předmět:
Blood Glucose
Male
Epidemiology
Cross-sectional study
Social Sciences
Blood Pressure
Cardiovascular Medicine
Systemic inflammation
Vascular Medicine
Biochemistry
Body Mass Index
chemistry.chemical_compound
Medical Conditions
Mathematical and Statistical Techniques
Risk Factors
Medicine and Health Sciences
Psychology
Cluster Analysis
Public and Occupational Health
Adiposity
Metabolic Syndrome
Sitting Position
education.field_of_study
Multidisciplinary
Statistics
Middle Aged
Lipids
Exploratory factor analysis
Cholesterol
Cardiovascular Diseases
Physical Sciences
Medicine
Biomarker (medicine)
Female
Waist Circumference
medicine.symptom
Factor Analysis
Research Article
Adult
medicine.medical_specialty
Science
Population
Cardiology
Taiwan
Research and Analysis Methods
Internal medicine
medicine
Humans
cardiovascular diseases
Statistical Methods
education
Triglycerides
Inflammation
Behavior
business.industry
Cholesterol
HDL
Biology and Life Sciences
Cardiometabolic Risk Factors
Physical Activity
Cholesterol
LDL
Cardiovascular Disease Risk
Cross-Sectional Studies
Blood pressure
chemistry
Medical Risk Factors
Sedentary Behavior
Factor Analysis
Statistical
business
Body mass index
Mathematics
Biomarkers
Zdroj: PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0242365 (2020)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0242365
Popis: 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.
Databáze: OpenAIRE
Externí odkaz: