. Author manuscript; available in PMC: 2021 Mar 4.

Published in final edited form as: J Clin Psychiatry. 2020 Nov 17;82(1):20m13245. doi: 10.4088/JCP.20m13245

Table 2.

Results of Multiple Regression Analysis With GlycA Predicting QIDS-SR Scores^a

Predictor	β	SE	P	Correlation (r) With QIDS-SR Score
Serum GlycA level (μmol/L)^*	.05	0.00	.038	0.14
Sex^*	.12	0.19	< .001	0.17
Age^*	−.07	0.01	.004	−0.08
Education years^*	−.16	0.05	< .001	−0.18
Antidepressant use (yes/no)^*	−.16	0.30	< .001	−0.16
White versus African American^*	−.08	0.21	.004	−0.12
Hispanic versus African American^*	−.06	0.29	.023	0.02
Recent abstainer versus current drinker	−.01	0.23	.775	0.02
Lifetime abstainer versus current drinker	.00	0.38	.99	0.02
Past smoker versus never smoker	.00	0.23	.986	−0.07
Current smoker versus never smoker^*	.09	0.24	< .001	0.12
BMI^*	.08	0.02	.001	0.12

Age, sex, ethnicity, BMI, education, smoking status, drinking status, and antidepressant use represent covariates in the multiple linear regression analysis of the relationship between GlycA and QIDS-SR scores.

The variables are statistically significant at P < .05.

Abbreviations: BMI = body mass index, QIDS-SR = Quick Inventory of Depressive Symptomatology-Self-Report.