Research Article

Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

Table 2

VIFs and correlation matrix for study variables (N = 25,356).

Variables123456789101112131415VIF

Sociodemographic characteristics
(1) Age11.33
(2) Education−0.39911.37
(3) Occupation0.123−0.17311.07
(4) Income−0.211−0.075−0.12511.07

Lifestyle
(5) Smoking0.0720.0120.0330.03311.23
(6) Drinking00.0820.0010.0760.41511.24
(7) Physical exercise−0.1140.173−0.1260.040−0.0440.00711.08
(8) Work intensity0.0140.026−0.085−0.058−0.112−0.1190.04811.04
Health knowledge
(9) Salt consumption can affect health−0.1640.210−0.1300.063−0.0150.0390.1850.02611.23
(10) The standard of daily oil intake−0.0910.143−0.1000.007−0.0110.0320.1150.0310.28511.35
(11) The standard of daily salt intake−0.0850.231−0.0960.010−0.032−0.0030.1280.0400.3130.45511.43
(12) The risk standard of chronic diseases−0.1070.180−0.0880.062−0.0150.0250.1710.0370.2710.2920.27411.19

Obesity indicators
(13) BMI0.044−0.113−0.1220.0180.0530.054−0.024−0.053−0.0350.0190.201−0.02711.22
(14) WC0.0990.120−0.0390.0070.0590.067−0.033−0.049−0.030−0.030−0.125−0.0310.37011.95
(15) WHtR0.206−0.186−0.007−0.0280.0140.011−0.050−0.025−0.071−0.053−0.130−0.0570.3560.80413.04

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