Table 2. Adjusted multiple regression models on post-logMAR, dif-logMAR (OLS), and clinically significant visual improvement (dif-logMAR≥0.3) (logistic) and respective coefficients (C), estimates (E), and probabilities (p).

C: coefficient (post-logMAR and dif-logMAR); E: estimate (dif-logMAR≥0.3); n: number of cases; R2: squared multiple R; Sy: standard error of y

*: Cox and Snell R-square, for multiple logistic regression; odds ratio of HBOT sessions is 1.498 and of obesity is 0.335 on clinically significant improvement (dif-logMAR≥0.3)

Regression models
VA outcome (y)	Constant		Age		HBOT sessions		Supplementary treatments		Obesity		Model statistics
	C/E	p	C	p	C/E	p	C	p	E	p	n	p	R2	Sy
post-logMAR	1.082	0.043	0.016	0.015	-0.068	0.011	-	-	-	-	114	0.000	0.135	0.864
dif-logMAR	0.218	0.185	-	-	-0.106	0.000	0.248	0.045	-	-	114	0.000	0.240	0.650
dif-logMAR≥0.3	-2.805	0.000	-	-	0.404	0.000	-	-	-1.094	0.030	114	0.000	0.240*	-