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. 2019 Jan 18;41(6):376–384. doi: 10.1016/j.bj.2018.09.002

Table 4.

Linear regression models for associations between the study variables and changes in the selected biophysiological measures.

Stratification Variables ΔaSBP
ΔDBP
ΔTC
Model Ib Model II Model III Model I Model II Model III Model I Model II Model III
Exercise
Diet-plus-exercise 0.33 (−1.95, 2.61) −0.46 (−2.74, 1.81) 0.21 (−1.38, 1.81) −0.18 (−1.78, 1.42) 2.78 (−0.88, 6.45) 1.47 (−2.18, 5.12)
ΔBW 0.57∗∗∗ (0.35, 0.80) 0.58∗∗∗ (0.35, 0.80) 0.28∗∗∗ (0.12, 0.44) 0.29∗∗∗ (0.12, 0.45) 0.98∗∗∗ (0.61, 1.34) 0.96∗∗∗ (0.59, 1.32)
Stratification Variables ΔTG
ΔLDL
Model I Model II Model III Model I Model II Model III
Exercise
Diet-plus-exercise 4.81 (−7.55,17.17) 0.23 (−12.06, 12.53) 1.27 (−2.20, 4.74) 0.33 (−3.14, 3.80)
ΔBW 3.34∗∗∗ (2.12, 4.55) 3.33∗∗∗ (2.11, 4.56) 0.69∗∗∗ (0.35, 1.03) 0.68∗∗∗ (0.34, 1.03)

∗∗∗p-value < 0.001, calculated using a multiple linear regression analysis adjusted for age, gender, cigarette smoking, alcohol consumption, regular exercise, and metabolic syndrome.

a

1. ΔChange was calculated by subtracting the post-test values from the pre-test values; 2. Abbreviations: SBP: systolic blood pressure; DBP: diastolic blood pressure; TC: total cholesterol; TG: triglyceride; LDL: low density lipid.

b

Parameter estimate (95% CI).