Table 1. Multiple regression analysis of physical factors on BHQ.
Model 1.1 | Model 1.2 | Model 1.3a | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
GM-BHQ | FA-BHQ | GM-BHQ | FA-BHQ | GM-BHQ | FA-BHQ | |||||||
bb | p-value | b | p-value | b | p-value | b | p-value | b | p-value | b | p-value | |
Age | -0.531 | < 0.001*** | -0.210 | < 0.001*** | -0.534 | < 0.001*** | -0.229 | < 0.001*** | -0.542 | < 0.001*** | -0.231 | 0.001*** |
Sex (male = 1, female = 2) | 6.539 | < 0.001*** | 1.129 | 0.101 | 6.320 | < 0.001*** | 1.371 | 0.044* | 5.074 | < 0.001*** | 1.126 | 0.077 |
BMI | ||||||||||||
obesity (BMI ≥ 25.0) | -2.761 | 0.03* | 0.598 | 0.496 | -2.306 | 0.085 | 0.814 | 0.371 | -2.097 | 0.071 | - | |
emaciation (BMI < 18.5) | 0.451 | 0.777 | -1.695 | 0.127 | 0.322 | 0.844 | -1.270 | 0.256 | - | - | ||
Blood pressure | ||||||||||||
hypertension | - | - | -1.979 | 0.103 | -0.534 | 0.517 | - | - | ||||
hypotension | - | - | -0.114 | 0.946 | -2.830 | 0.0150* | - | -2.822 | 0.01* | |||
Pulse | - | - | 0.059 | 0.176 | -0.048 | 0.108 | - | - | ||||
Daily time use | ||||||||||||
weekday: rest | - | - | - | - | 0.990 | 0.006** | - | |||||
weekday: housework | - | - | - | - | 0.418 | 0.063 | - | |||||
weekday: meal | - | - | - | - | - | 1.164 | 0.013* | |||||
holiday: personal business | - | - | - | - | 1.207 | 0.002** | - | |||||
holiday: meal | - | - | - | - | -1.272 | 0.006** | - | |||||
holiday: rest | - | - | - | - | -0.454 | 0.03* | 0.259 | 0.072 | ||||
holiday: travel | - | - | - | - | - | 0.701 | 0.035* | |||||
R | 0.746 | < 0.001*** | 0.448 | < 0.001*** | 0.754 | < 0.001*** | 0.505 | < 0.001*** | 0.799 | < 0.001*** | 0.543 | < 0.001*** |
R2 | 0.556 | 0.200 | 0.569 | 0.255 | 0.639 | 0.295 |
n = 144
*p < 0.05
**p < 0.01
***p < 0.001
a In Model 3, independent variables were selected by the stepwise method.
b Regression coefficient