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. 2019 May 3;12:203. doi: 10.1186/s13071-019-3410-2

Table 3.

Results of the general linear model (GLM) with Poisson error structure and log link function testing the influence of various factors on annual deworming frequency in dogs

Estimate SE 95% CI z-value P-value
Intercept 0.719 0.307 0.087–1.296 2.343 0.019
Owner gender (ref: male, n = 182) -0.129 0.070 -0.266–0.006 -1.855 0.064
Owner age -0.001 0.002 -0.006–0.004 -0.492 0.623
Attitude towards pets
Affectionate (n = 269) Baseline
Devoted (n = 126) -0.100 0.077 -0.253–0.049 -1.305 0.192
Dispassionate (n = 53) -0.074 0.114 -0.304–0.145 -0.649 0.516
Sceptical (n = 52) -0.256 0.122 -0.502– -0.023 -2.101 0.036
Veterinary visits
Once a year only (n = 227) Baseline
More than once a year (n = 273) 0.328 0.069 0.193–0.465 4.736 <0.001
German ESCCAP risk groupa
A (n = 10) vs B (n = 24) -0.176 0.303 -0.932–0.581 -0.581 0.930
A (n = 10) vs C (n = 154) 0.008 0.261 -0.646–0.662 0.031 1.000
A (n = 10) vs D (n = 312) -0.011 0.259 -0.657–0.636 -0.041 1.000
B (n = 24) vs C (n = 154) 0.184 0.178 -0.260–0.628 1.036 0.701
B (n = 24) vs D (n = 312) 0.165 0.172 -0.266–0.596 0.958 0.749
C (n = 154) vs D (n = 312) -0.019 0.070 -0.194–0.156 -0.268 0.992
Neighbourhooda
Rural (n = 186) vs city (n = 58) 0.003 0.106 -0.268–0.273 0.025 1.000
Suburban (n = 79) vs city (n = 58) -0.051 0.124 -0.367–0.266 -0.411 0.976
Town (n = 177) vs city (n = 58) -0.012 0.107 -0.286–0.261 -0.117 0.999
Suburban (n = 79) vs rural (n = 186) -0.054 0.099 -0.306–0.199 -0.543 0.947
Town (n = 177) vs rural (n = 186) -0.015 0.075 -0.208–0.177 -0.201 0.997
Town (n = 177) vs suburban (n = 79) 0.038 0.100 -0.218–0.295 0.383 0.980
Source of information regarding deworming
Veterinarian/vet nurse (ref: yes, n = 7) 0.412 0.213 -0.029–0.811 1.928 0.054
Non-veterinarian (other pet owners, pet shop staff, etc.) (ref: yes, n = 331) -0.093 0.073 -0.236–0.050 -1.278 0.201
Books and magazines (ref: yes, n = 93) 0.079 0.089 -0.098–0.252 0.889 0.374

Note: For this model, three outlier datapoints with a deworming frequency of 12 times/year were removed. The model was significantly different from a null model containing only an intercept term (likelihood ratio test, χ2 = 47.25, df = 15, P < 0.001). Significant P-values are printed in bold

aMultiple comparisons for the levels of ESCCAP risk group and neighbourhood using Tukey contrasts with single-step P-value adjustment were performed using the function glht from the package multcomp in R

Abbreviations: SE, standard error; CI, confidence interval; ref, reference