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. 2021 Aug 13;23(9):1734–1743. doi: 10.1111/jch.14340

TABLE 3.

Multiple linear regression analysis of blood pressure changes (n = 688)

Variable Coefficients β value Std. error t‐value p‐value
SBP change a Sex (male = 1,female = 0) 2.024 1.496 1.352 .177
Age −0.107 0.051 −2.100 .036
Height −0.131 0.090 −1.456 .146
Baseline PAL 0.784 0.523 1.499 .135
Hypertensive(yes = 1, no = 0) −4.905 1.928 −2.544 .011
Effective steps 0.001 0.000 3.750 .000
Δ BW 0.618 0.188 3.295 .001
Δ WC −0.089 0.124 −0.719 .472
Δ BF% 0.125 0.167 0.747 .455
Δ eating score 0.101 0.146 0.688 .492
DBP change b Sex (male = 1,female = 0) −0.327 1.277 −0.256 .798
Age −0.114 0.043 −2.635 .009
Height −0.039 0.077 −0.506 .613
Baseline PAL 0.434 0.447 0.972 .332
Hypertensive(yes = 1, no = 0) −2.148 1.646 −1.304 .193
Effective steps 0.000 0.000 2.233 .026
Δ BW 0.191 0.160 1.189 .235
Δ WC −0.075 0.106 −0.703 .482
Δ BF% 0.119 0.143 0.832 .406
Δ eating score 0.117 0.125 0.941 .347
a

Dependent Variable: SBP change.

b

Dependent Variable: DBP change.

Abbreviations: Δ, is a 3‐month change (post‐pre); PAL, physical activity level; BW, Body weight; WC, waist circumference; BF%, body fat percentage.