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. 2009 Jun 12;132(9):2317–2326. doi: 10.1093/brain/awp158

Table 4.

Binary logistic regression models for the prediction of vision loss: categorical consumption levels of tobacco and alcohol

	Model 1 (cumulative)		Model 2 (maximum)
Predictor variables	ORs (95% CI)	P-value	ORs (95% CI)	P-value
Light smoking^a	1.93 (1.08–3.46)	0.027^c	1.63 (0.88–3.02)	0.118
Heavy smoking^a	3.26 (1.31–8.07)	0.011^c	2.80 (1.31–5.99)	0.008^c
Light drinking^b	1.52 (0.50–4.64)	0.459	1.32 (0.44–3.98)	0.625
Heavy drinking^b	2.75 (0.76–10.02)	0.125	2.31 (0.73–7.30)	0.154

a Comparison with non-smokers.

b Comparison with non-drinkers

c Significant at P < 0.05 level. Both models also incorporated the following variables: age, gender and LHON mutation.