Skip to main content
. 2021 Mar 12;9:656104. doi: 10.3389/fpubh.2021.656104

Table 5.

Influencing factors of HRQOL in PCD in five districts: comparison of CLAD model and Tobit model results.

Variable Tobit CLAD
Drug accessibility 0.0215* (0.0109) 0.00638** (0.00243)
OOP level 0.0412*** (0.00828) 0.0387*** (0.00189)
Gender
(based on Male)
Female −0.00661 (0.0195) −0.0137** (0.00435)
Age −0.00704*** (0.000581) −0.00482*** (0.000132)
BMI
(based on Underweight)
Normal 0.145*** (0.0304) 0.0406*** (0.00653)
Overweight 0.163*** (0.0318) 0.0744*** (0.00693)
Marital status
(based on unmarried/divorced/widowed)
Married 0.137*** (0.0277) 0.113*** (0.00616)
Education level
(based on Below junior high school education)
Junior high school and above 0.00632 (0.0228) −0.0204*** (0.00503)
Income level
(based on 0–999)
1000–1999 0.0520 (0.0318) 0.0351*** (0.00714)
2000–2999 0.00660 (0.0306) 0.0465*** (0.00688)
3000 and more 0.0224 (0.0331) 0.0465*** (0.00747)
Health insurance
(based on Urban residents basic health insurance)
Urban workers basic health insurance 0.0418 (0.0280) 0.0257*** (0.00679)
New rural cooperative health insurance 0.0245 (0.0295) 0.00569 (0.00684)
Others 0.0537 (0.0475) −0.0548*** (0.00990)
Health file
(based on Yes)
No 0.00565 (0.0257) 0.0111 (0.00569)
Unknown −0.0525 (0.0281) −0.0240*** (0.00630)
Province
(based on Gansu province)
Hebei 0.00787 (0.0284) 0.0417*** (0.00599)
Sichuan 0.0489 (0.0299) 0.0204** (0.00674)
Tianjin 0.00171 (0.0368) 0.0554*** (0.00812)
Zhejiang 0.0368 (0.0297) 0.0860*** (0.00664)
_cons 0.667*** (0.0855) 0.763*** (0.0191)

t statistics in parentheses

*

p < 0.05,

**

p < 0.01,

***

p < 0.001.