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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Psychosom Med. 2018 Feb-Mar;80(2):167–173. doi: 10.1097/PSY.0000000000000535

Table 4.

Hazard Ratios Predicting Onset of Type 2 Diabetes by Treatment Group

Treatment Group Predictor Variables Model 1
Hazard Ratio
(95% CI)
Model 2
Hazard Ratio
(95% CI)
Placebo
N=1036
ADM Intermittent Use vs. No ADM use 1.47 (0.94–2.31) 1.42 (0.90–2.24)
ADM Continuous Use vs. No ADM use 2.52 (1.31–4.83)* 2.46 (1.28–4.71)*
Natural Log CRP - 1.16 (1.01–1.34)*
Metformin
N=1049
ADM Intermittent Use vs. No ADM use 1.02 (0.61–1.71) 0.98 (0.58–1.63)
ADM Continuous Use vs. No ADM use 0.74 (0.29–1.88) 0.71 (0.28–1.80)
Natural Log CRP - 1.22 (1.05–1.41)*
Lifestyle N=1052 ADM Intermittent Use vs. No ADM use 2.08 (1.18–3.65)* 2.11 (1.20–3.71)*
ADM Continuous Use vs. No ADM use 3.26 (1.53–6.93)* 3.06 (1.43–6.57)*
Natural Log CRP - 1.11 (0.91–1.35)

ADM = Antidepressant medication use; CRP = C-reactive protein.

*

p<.05. Model 1 = ADM Use and covariates predicting incident T2DM without log-transformed time-dependent CRP. Model 2 = ADM Use, log-transformed time-dependent CRP and covariates predicting T2DM onset. Models are adjusted for age, sex, race/ethnicity, education, baseline weight, baseline glucose, change in weight, BDI score, anti-inflammatory medications, estrogen, and statins. Additional analysis showed that there was no significant interaction between treatment group and time-dependent log-transformed CRP with onset of diabetes.