Development and validation of a pre-scoring system for nonspecific low back pain among general population in Guangzhou: a cross-sectional study

Table 3 Scores of the associated factors in the pre-scoring system

Associated factor	Category	Score	AUC for single factor
Age (years)			0.698 (0.651–0.746)
	20 ≤ < 30	0
	30 ≤ < 40	2
	40 ≤ < 50	4
	50 ≤ < 60	6
BMI (kg/m²)			0.645 (0.594–0.696)
	< 18.5	0
	18.5 ≤ < 24.0	1
	24.0 ≤ < 28.0	2
	≥28.0	3
Average exercise times weekly			0.581 (0.531–0.632)
	0 ≤ ≤1	2
	2 ≤ ≤3	1
	≥4	0
Gender			0.541 (0.488–0.594)
	Male	0
	female	1
Educational level			0.599 (0.550–0.648)
	middle school or below	0
	high school	2
	college degree or above	4
The intensity of daily work			0.621 (0.572–0.670)
	almost not	0
	light	2
	intergrade	3
	heavy	5
Place of residence			0.599 (0.550–0.647)
	city	0
	villages and towns	2
	countryside	1
Monthly income (CNY)			0.555 (0.504–0.605)
	< 1000	0
	1000 ≤ < 5000	2
	5000 ≤ < 10,000	4
	≥10,000	6
SF2			0.722 (0.675–0.769)
	1 ≤ ≤2	5
	3	2
	4 ≤ ≤5	0
SF_PHYS			0.682 (0.635–0.729)
	5 ≤ < 11	4
	11 ≤ < 14	3
	14 ≤ < 17	2
	17 ≤ ≤20	0

The total score ranges from 0 to 38
AUC Area under the curve, BMI Body mass index, SF2 Overall evaluation about health condition, SF_PHYS Physiology health domain

ISSN: 1471-2458