Table 3.

Multivariable multinomial logistic regression models showing associations between physical parameters and myopathy scores, as assessed in a cohort of 179 breast fillets collected at a processing plant in Ontario, Canada.

Outcomea	Exposure	Odds ratio (95% CI)	P value
SM0WB1	Thickness	1.41 (1.20–1.65)	<0.001
	Weight	1.03 (1.01–1.05)	0.007
	Width	0.37 (0.12–1.15)	0.085
SM0WB2	Thickness	1.35 (0.15–1.59)	<0.001
	Weight	1.06 (1.04–1.09)	<0.001
	Width	0.13 (0.04–0.43)	0.001
SM1WB0	Thickness	0.82 (0.67–1.00)	0.054
	Weight	1.07 (1.03–1.10)	<0.001
	Width	0.29 (0.05–1.54)	0.145
SM1WB1	Thickness	1.22 (1.04–1.44)	0.015
	Weight	1.05 (1.02–1.08)	<0.001
	Width	0.44 (0.13–1.53)	0.195
SM1WB2	Thickness	1.59 (1.31–1.94)	<0.001
	Weight	1.06 (1.03–1.09)	<0.001
	Width	0.31 (0.08–1.20)	0.090

For each model, SM0WB0 was the referent group.

^aAbbreviations: SM, spaghetti meat; SM0, SM absent; SM1, SM present; WB, woody breast; WB0, WB absent; WB1, WB moderate; WB2, WB severe.