. 2020 Sep 5;21:596. doi: 10.1186/s12891-020-03617-3

Table 4.

The binary correlations between age, BMI, pelvic asymmetry parameters and the occurrence of low back pain

		Age	Height	Weight	BMI	PTAR	QAR	AHAR	ADAR	PHAR	PDAR	Group
Age	Pearson	–
Height	Pearson	.045	–
Weight	Pearson	−.015	.745^**	–
BMI	Pearson	−.051	.271^*	.840^**	–
PTAR	Pearson	.108	−.070	.011	.044	–
QAR	Pearson	.074	.040	.246	.330^*	.191	–
AHAR	Pearson	−.211	.309*	.154	−.040	.300*	−.046	–
ADAR	Pearson	−.022	.148	.271*	.271*	.284*	.238	.146	–
PHAR	Pearson	−.026	−.287*	−.196	−.067	.196	−.037	−.073	.195	–
PDAR	Pearson	−.081	−.033	.017	.051	.156	.137	.078	.353**	−.052	–
Occurrence of NCLBP	Spearman^a	−.286*	−.091	.114	.276*	.447**	.623**	−.001	.495**	−.125	.535**	–

*denotes p < 0.05; ** denotes p < 0.01; a denotes the relationships between the occurrence of NCLBP and other variables as explored by Spearman correlation