Table 2.

The potential predictors using linear regressions

	ΔODI		ΔVAS
	Univariate	First multivariate	Univariate	First multivariate
ΔCobb angle	0.046 (0.692)		0.108 (0.355)
ΔCVA	0.232 (0.045)*	0.153 (0.112)	0.100 (0.395)
ΔSVA	0.386 (0.001)*	0.392 (< 0.001)*	0.597 (< 0.001) *	0.633 (< 0.001)*
ΔTK	− 0.455 (< 0.001)*	− 0.209 (0.053)	− 0.386 (0.001)*	− 0.072 (0.439)
ΔLL	− 0.431(< 0.001)*	− 0.325(0.864)	− 0.355 (0.002)*	1.159 (0.478)
ΔPT	0.183 (0.116)		0.121 (0.300)
ΔSS	− 0.180 (0.122)		− 0.103 (0.381)
ΔPI	0.023 (0.844)		0.082 (0.482)
Δ(PI–LL)	0.430 (< 0.001)*	0.031(0.987)	0.360 (0.002)*	1.566(0.339)

All results are presented as standardised regression coefficients (P-values)

*Statistically significant

ODI Oswestry Disability Index, VAS visual analogue scale, Cobb angle Coronal Cobb angle of major curve, CVA coronal vertical axis, SVA sagittal vertical axis, TK thoracic kyphosis, LL lumbar lordosis, PT pelvic tilt, SS sacral slope, PI pelvic incidence, PI–LL LL/PI matching