Table 4.

Restricted cubic spline regression beta coefficients representing associations between days since social security payment arrival with inflammatory biomarkers among Health, Aging and Body Composition Study participants not working for pay and experiencing chronic financial strain (n=1228)

	Low chronic financial strain coefficient (p value)	High chronic financial strain coefficient (p value)	P value for interaction term testing heterogeneity by degree of financial strain*
IL-6 (pg/mL)	(n= 584)	(n= 617)
Week 1	−0.1515 (0.048)*	0.0943 (0.285)	0.032*
Week 2	0.6369 (0.198)	−0.6165 (0.297)	0.094
Week 3	−1.3891 (0.286)	1.5790 (0.305)	0.129
Week 4	0.9779 (0.510)	−1.6495 (0.348)	0.239
TNF-α (pg/ mL)	(n= 574)	(n= 612)
Week 1	0.1303 (0.063)	0.0665 (0.253)	0.470
Week 2	−0.8720 (0.067)	−0.1229 (0.752)	0.215
Week 3	2.2706 (0.065)	0.0072 (0.994)	0.148
Week 4	−2.5611 (0.057)	0.5710 (0.610)	0.070
CRP (μg/mL)	(n= 590)	(n= 626)
Week 1	−0.1788 (0.006)*	0.0732 (0.234)	0.004*
Week 2	0.8015 (0.061)	−0.3961 (0.354)	0.041*
Week 3	−1.6642 (0.144)	1.0052 (0.376)	0.087
Week 4	0.9731 (0.472)	−1.0694 (0.425)	0.268

^*Tested by interaction between any financial strain with days since payment arrival spline term among all participants with chronic financial strain.

CRP, C reactive protein; IL-6, interleukin 6; TNF-α, tumour necrosis factor-α.

Coefficients were obtained from linear regression models with a restricted cubic spline term for days since Social Security payment arrival with knots at days 7, 14, 21 and 28.