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Table 3 Association between day-to-day leisure time physical behaviours and weekday and workday

From: Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors?

 

Outcome: Leisure composition pivot coordinates

Predictors

ilr1(Sedentary_leisure)

ilr1(Standing_leisure)

ilr1(Active_leisure)

β (95% CI)

β (95% CI)

β (95% CI)

Weekday (Monday)

 Tuesday

−0.03 (− 0.25; 0.15)

0.04 (− 0.01; 0.18)

−0.02 (− 0.18; 0.13)

 Wednesday

−0.03 (− 0.21; 0.16)

0.07 (− 0.05; 0.19)

−0.03 (− 0.16; 0.09)

 Thursday

−0.09 (− 0.26; 0.10)

0.03 (− 0.08; 0.17)

0.05 (− 0.07; 0.17)

 Friday

− 0.13 (− 0.27; 0.03)

0.11 (− 0.03; 0.24)

0.02 (− 0.11; 0.14)

 Saturday

− 0.12 (− 0.26; 0.04)

0.11 (0.01; 0.22)

0.01 (− 0.11; 0.12)

 Sunday

− 0.13 (− 0.28; 0.03)

0.11 (0.01; 0.22)

0.02 (− 0.01; 0.12)

 Workday (yes)

− 0.07 (− 0.22; 0.01)

0.02 (− 0.11; 0.13)

0.05 (− 0.08; 0.17)

Workday (yes)*weekday (Monday)

 Tuesday

0.07 (− 0.11; 0.32)

− 0.07 (− 0.22; 0.09)

0.02 (− 0.12; 0.11)

 Wednesday

0.05 (− 0.15; 0.26)

− 0.08 (− 0.21; 0.07)

0.02 (− 0.14; 0.17)

 Thursday

0.12 (− 0.08; 0.28)

− 0.04 (− 0.18; 0.01)

−0.08 (− 0.24; 0.05)

 Friday

0.26 (0.07; 0.44)

−0.16 (− 0.32; − 0.02)

−0.10 (− 0.25; 0.06)

 Saturday

0.34 (0.13; 0.55)

−0.21 (− 0.34; − 0.07)

−0.14 (− 0.29; 0.01)

 Sunday

0.27 (0.04; 0.46)

−0.13 (− 0.29; 0.02)

−0.14 (− 0.28; 0.01)

  1. Active = walking, running, stair climbing, and cycling. ilr1 = first pivot coordinate, representing the relative importance of a leisure time physical behaviour (indicated in parenthesis) in relation to the others. Results based on multivariate multilevel models adjusted for sex, age, smoking-status and BMI. Total number of observations included = 3198. Bold indicates significant at p < 0.05. *indicates interaction term