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. 2017 Oct 27;12(10):e0187137. doi: 10.1371/journal.pone.0187137

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