. 2018 Feb 25;10(3):260. doi: 10.3390/nu10030260

Table 2.

Partial correlation coefficients between serum carotenoids and inflammatory biomarkers among total participants.

	aRBP4 ^a		RBP4		hsCRP		MCP1		IL-6		IL-1β		TNF-α
	r	p	r	p	r	p	r	p	r	p	r	p	r	p
n	2734		2734		2921		1310		1292		1292		1297
Age, sex adjusted ^M1
Total carotenoids ^b	−0.129	<0.001	−0.097	<0.001	−0.159	<0.001	−0.079	0.004	0.002	0.933	0.002	0.944	−0.014	0.608
Log total carotenoids	−0.134	<0.001	−0.098	<0.001	−0.140	<0.001	−0.071	0.010	0.022	0.438	0.026	0.345	0.006	0.835
α-Carotene	−0.073	<0.001	−0.062	0.001	−0.161	<0.001	−0.088	0.001	−0.044	0.117	−0.059	0.033	−0.080	0.004
β-Carotene	−0.103	<0.001	−0.087	<0.001	−0.161	<0.001	−0.075	0.006	0.015	0.582	0.016	0.553	0.006	0.838
β-Cryptoxanthin	−0.080	<0.001	−0.057	0.003	−0.060	0.001	−0.028	0.305	0.043	0.120	0.025	0.369	0.051	0.064
Lycopene	−0.086	<0.001	−0.063	0.001	−0.136	<0.001	−0.046	0.099	−0.014	0.610	0.003	0.926	−0.033	0.231
Lutein + zeaxanthin	−0.140	<0.001	−0.093	<0.001	−0.076	<0.001	−0.059	0.033	0.009	0.758	0.022	0.424	0.004	0.890
Multivariate-adjusted ^M2
Total carotenoids ^b	−0.098	<0.001	−0.079	<0.001	−0.114	<0.001	−0.090	0.001	−0.014	0.616	−0.055	0.050	−0.079	0.005
Log total carotenoids	−0.103	<0.001	−0.080	<0.001	−0.097	<0.001	−0.081	0.004	0.007	0.793	−0.033	0.242	−0.062	0.027
α-Carotene	−0.044	0.023	−0.037	0.052	−0.112	<0.001	−0.090	0.001	−0.046	0.096	−0.072	0.010	−0.096	0.001
β-Carotene	−0.067	<0.001	−0.061	0.001	−0.105	<0.001	−0.081	0.004	0.009	0.744	−0.020	0.474	−0.034	0.222
β-Cryptoxanthin	−0.067	<0.001	−0.056	0.004	−0.048	0.009	−0.036	0.200	0.026	0.350	−0.025	0.368	−0.003	0.923
Lycopene	−0.062	0.001	−0.050	0.009	−0.100	<0.001	−0.054	0.050	−0.033	0.233	−0.044	0.115	−0.089	0.001
Lutein + zeaxanthin	−0.120	<0.001	−0.084	<0.001	−0.051	0.005	−0.067	0.016	−0.006	0.834	−0.039	0.163	−0.066	0.018

^a retinol-adjusted RBP4 using the residual method. ^b All variables were the Z-score of log transformed value, but only Z-score for total carotenoids. ^M1 adjusted for age and gender; ^M2 adjusted for age, gender, marital status, education level, household income (Yuan/month per person), smoking, alcohol drinking, vitamin supplements, MET (exclude sleeping and rest), TC, and BMI.