Table 3.

Multinomial logistic regression models testing joint association between high, normal/low FSH and LH levels and musculoskeletal pain.

	RRR (95% CI)
	Model I		Model II
	Some pain	CWP	Some pain	CWP
Combination of LH and FSH levels
Normal/low LH and normal/low FSH
n = 1788 (56.14%)	Referent	Referent	Referent	Referent
Normal/low LH and high FSH n = 342 (10.74%)	0.95 (0.74 to 1.22)	1.13 (0.72 to 1.76)	0.99 (0.86 to 1.15)	1.06 (0.76 to 1.47)
High LH and normal/low FSH n = 338 (10.61%)	1.16 (0.90 to 1.48)	1.53 (1.01 to 2.43)⁎	1.14 (0.87 to 1.49)	1.39 (0.85 to 2.30)
High LH and high FSH n = 717 (22.51%)	1.31 (1.07 to 1.59)⁎⁎	1.93 (1.39 to 2.69)⁎⁎⁎	1.29 (1.06 to 1.56)⁎	1.69 (1.36 to 2.10)⁎⁎⁎

Low corresponds to LH/FSH levels below the highest tertiles, high means in the highest tertiles.

Model I: adjusted for age. Model II: adjusted for age, smoking status, alcohol intake, body mass index, morbidities, Reuben’s Physical Performance Test walk time, depression, and centre. Base category for the outcome is no pain.

RRR = relative risk ratios, CI = confidence interval, LH = luteinising hormone, FSH = follicle-stimulating hormone, CWP = chronic widespread pain.

^⁎P < .05.

^⁎⁎P < .01.

^⁎⁎⁎P < .001.