Identifying factors associated with of blood pressure using Structural Equation Modeling: evidence from a large Kurdish cohort study in Iran

Table 2 Results of latent variables analysis (Varimax rotation)

Latent variable	Indicator variable	Loading coefficient	Cronbach's coefficient
Blood pressure	SBP	0.953	0.863
Blood pressure	DBP	0.958	0.863
SES	Education	0.832	0.589
	Wealth	0.802
	Place	0.585
Lipid profile	LDL: HDL	0.973	0.962
Lipid profile	TC: HDL	0.972	0.962
Obesity	BMI	0.916	0.549
	WC	0.905
	WHR	0.836

The result of exploratory factor analysis: Kaiser-meyer-olk in measure of sampling adequacy (kmo) = 0.697, Bartlett test of sphericity approx: Chi-square = 56,799.689, p \(<0.001\)
SES Socioeconomic status, SBP Systolic blood pressure, DBP Diastolic Blood pressure, WC Waist circumference, BMI Body mass index, WHR Waist to hip ratio, LDL Low-density lipoproteins, TC Total cholesterol, HDL High-density lipoprotein

ISSN: 1472-6823