# Table 1 Univariate longitudinal hierarchical linear regression estimates between the predictors of interest and daily sitting time in minutes

Baseline characteristics N = 198

Increment in minutes of daily sitting time (95 % CrI)b

Average daily sitting time (minutes);

mean (SD)

308 (161)

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median (IQR)

278 (188, 405)

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Socio-demographic factors

Men; n (%)

106 (54 %)

−2.9 (−4.9, −0.8)

Age (years); mean (SD)

60.0 (10.5)

41.3 (−3.5, 85.7)

University education; n (%)

78 (39 %)

58.2 (12.3, 103.6)

Currently employed; n (%)

113 (57 %)

86.3 (42.5, 130.0)

Annual household income ≥ \$50,000; n (%)a

77 (44 %)

90.0 (43.3, 134.9)

Married/common-law; n (%)a

123 (69 %)

−34.9 (−86.3, 15.4)

Immigrant; n (%)

91 (46 %)

−53.3 (−98.2, −10.1)

Contextual factors

Dog ownership; n (%)

31 (16 %)

18.2 (−40.9, 78.3)

Regular vehicle access; n (%)a

70 (80 %)

92.0 (6.7, 179.2)

Steps (steps/day); mean (SD)a

5361 (2473)

0.001 (−0.005, 0.008)

Clinical factors

Body mass index (kg/m2); mean (SD)

30.4 (5.6)

1.3 (−2.8, 5.4)

Waist circumference (cm); mean (SD)

102.1 (13.2)

2.4 (1.1, 3.6)

Depressed mood; n (%)

55 (28 %)

−36.5 (−71.5, −2.4)

Diabetes duration (years); mean (SD)

9.4 (8.0)

−2.6 (−5.4, 0.2)

Insulin use; n (%)

66 (33 %)

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1. aAnnual household income (n = 177); married/common law (n = 178); regular vehicle access (n = 87); Daily steps (n = 129); Depressed mood (n = 137)
2. bModelling independent variables at baseline except for depression and steps/day which were modelled over time; sitting time was modelled over time