The influencing factors of health-related quality of life among rural hypertensive individuals: a cross-sectional study

Table 2 Multivariable linear regression model on utility index and VAS score among patients

Variable	Utility index			VAS score
Variable	Coe	SE	P	Coe	SE	P
Gender (ref. = Men)
Women	− 0.02	0.08	0.004	0.22	0.20	0.271
Age (ref. = 18 ~)
45 ~	− 0.04	0.02	0.014	− 2.79	0.26	< 0.001
65 ~	− 0.10	0.02	< 0.001	− 4.96	0.32	< 0.001
Education status (ref. = Primary school or below)
Middle school	0.03	0.01	0.001	0.68	0.22	0.002
High school or above	0.05	0.01	< 0.001	1.70	0.29	< 0.001
Marital status (ref. = Married/cohabiting)
Widowed/divorced/separated/single	− 0.02	0.01	0.04	0.09	0.32	0.771
Per capita monthly income (ref. < 500)
500 ~	0.05	0.01	< 0.001	2.09	0.22	< 0.001
1000 ~	0.06	0.01	< 0.001	2.97	0.25	< 0.001
2000 ~	0.07	0.02	< 0.001	3.42	0.36	< 0.001
Physical activity (ref. = Low)
Moderate	0.05	0.01	< 0.001	1.62	0.22	< 0.001
High	0.04	0.01	< 0.001	2.15	0.23	< 0.001
Sleep quality (ref. = Good)
Poor	− 0.12	0.01	< 0.001	− 6.44	0.23	< 0.001
BMI (kg/m²) (ref. = < 18.5)
18.5 ~	0.02	0.04	0.504	2.45	0.63	< 0.001
24.0 ~	0.02	0.04	0.555	3.04	0.64	< 0.001
28.0 ~	0.01	0.04	0.818	2.92	0.66	< 0.001
NCDs (ref. = Non)
One	− 0.01	0.01	0.088	− 1.16	0.20	< 0.001
Two	− 0.08	0.01	< 0.001	− 5.40	0.33	< 0.001
Three or more	− 0.18	0.02	< 0.001	− 12.97	0.72	< 0.001

Tobit regression model was utilized to estimate the potential influencing factors of Utility index
Generalized linear model was utilized to assess the potential influencing factors of VAS-score

ISSN: 1477-7525