Skip to main content
. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: J Sci Med Sport. 2016 Jun 1;20(1):60–65. doi: 10.1016/j.jsams.2016.05.008

Table 2.

Multivariable-adjusted regression models to assess the relations between physical activity measures and baseline variables.

Sedentary Time (%/day) Total counts/min MVPA (min/day)
Baseline Variables Models estimate p estimate p estimate p
BMI% Multivar. Model −0.02 0.86 −0.18 0.11 −0.25 0.02
Resting Heart Rate Multivar. Model 0.04 0.51 −0.11 0.04 −0.12 0.03
+ BMI% 0.04 0.48 −0.09 0.08 −0.09 0.08
Resting Systolic BP Multivar. Model −0.03 0.60 0.05 0.42 0.06 0.28
+ BMI% −0.03 0.61 0.06 0.35 0.08 0.21
Resting Diastolic BP Multivar. Model −0.04 0.30 0.05 0.17 0.06 0.11
+ BMI% −0.04 0.31 0.06 0.13 0.07 0.06

Abbreviations: Body mass index CDC percentile (BMI%); blood pressure (BP); moderate-to-vigorous physical activity (MVPA); socioeconomic status (SES)

All models were analyzed using ranked PA variables.

Multivariable model: adjusted for age, sex, SES, season

+ BMI% : Multivar. Model additionally adjusted for BMI%

Significant associations were bolded for emphasis (p≤0.05)