Table 2 Summary of multivariable approach using linear mixed-effects models in 23 Canmore dogs.

From: The activity patterns of nonworking and working sled dogs

Variable

Daytime model 2a

Nighttime model 2b

Β

95% CI (low, high)

P

β

95% CI (low, high)

P

Day type

Weekday (ref)

–

–

–

–

–

–

Weekend

0.244

0.168, 0.322

 < 0.001

0.018

–0.051, 0.087

0.608

Work

No (ref)

–

–

–

–

–

–

Yes

0.895

0.819, 0.969

 < 0.001

 − 0.0003

 − 0.068, 0.068

0.993

Sex

Female (ref)

–

–

–

–

–

–

Male

0.367

0.070, 0.664

0.051

0.246

 − 0.232, 0.724

0.393

Age

 − 0.186

 − 0.298, − 0.074

0.012

0.011

 − 0.169, 0.191

0.918

Weight

 − 0.099

 − 0.208, 0.010

0.142

 − 0.055

 − 0.231, 0.121

0.599

Intact

No (ref)

–

–

–

–

–

–

Yes

0.340

0.062, 0.619

0.053

0.300

 − 0.148, − 0.748

0.270

Breed

Alaskan husky (ref)

–

–

–

–

–

–

Non-Alaskan husky

 − 0.454

 − 0.694, − 0.215

0.005

 − 0.347

 − 0.733, 0.038

0.144

Sex × intact

 − 0.134

 − 0.548, 0.280

0.588

 − 0.199

 − 0.865, 0.467

0.617

Temperature

 − 0.008

 − 0.046, 0.030

0.678

 − 0.022

 − 0.055, 0.011

0.189

Moon illumination

0.037

 − 0.0001, 0.075

0.052

 − 0.036

 − 0.070, − 0.003

0.033

  1. Daytime model analysis of MotionWatch activity counts from 6:00 a.m. to 8:59 p.m. while nighttime model includes analysis of MotionWatch activity counts from 9:00 p.m. to 5:59 a.m.
  2. aOverall model fit compared to the null model: N = 690, χ2 = 561.5, P < 0.001. Marginal R2 = 0.598, conditional R2 = 0.684.
  3. bOverall model fit compared to the null model: N = 690, χ2 = 15.07, P = 0.130. Marginal R2 = 0.152, conditional R2 = 0.562.
  4. Significant effects (P < 0.05) are in bold.
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