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. 2021 Jan 11;11(1):142. doi: 10.3390/ani11010142

Table 5.

The effect of population characteristics and the career racing and performance history on whether retirement was voluntary for 110 retired thoroughbred racehorses in South East Queensland.

Variable Univariable OR (95% CI) p-Value Adjusted OR (95% CI) p-Value
Age (years) 1.30 (1.01, 1.69) 0.04
Sex
Stallions reference -
Mares 1.62 (0.14, 19.07) 0.70
Geldings 2.29 (0.20, 26.58) 0.50
Had a race start
No reference -
Yes 1.18 (0.34, 4.11) 0.80
Started as two-year-old
Yes reference -
No 2.23 (0.99, 5.05) 0.05
Number starts as two-year-old 1.08 (0.83, 1.40) 0.60
Age at first race (years) 1.81 (0.93, 3.55) 0.08
Length of career (months) 1.02 (0.99, 1.04) 0.19
Number of starts 1.04 (1.01, 1.07) 0.01 1.05 (1.02, 1.10) 0.01
Starts per year 1.30 (1.11, 1.53) 0.00 1.21 (1.02, 1.46) 0.03
Total race distance accumulated (5 furlongs/1 km) 1.02 (1.00, 1.04) 0.02
Average distance per start (furlongs) 1.26 (0.90, 1.77) 0.18
Number of races won 1.04 (0.90, 1.20) 0.60
% of races won 0.94 (0.90, 0.99) 0.02
Number of races 1st, 2nd or 3rd place 1.03 (0.97, 1.08) 0.30
% of races 1st, 2nd or 3rd place 0.96 (0.94, 0.99) 0.00 0.94 (0.91, 0.97) <0.001
Total prizemoney ($1000 AUD) 1.00 (1.00, 1.00) 0.30
Prizemoney per start ($1000 AUD) 0.98 (0.91, 1.04) 0.50
Retired as two-year-old
No reference -
Yes 0.51 (0.04, 5.79) 0.60

Univariable and multivariable logistic regression models shown. In the univariable analyses, variables were considered significant at α = 0.2 and eligible for inclusion in the multivariable model. In the multivariable analysis, variables significant at α = 0.05 were retained in the final model. Significant variables are indicated in bold.