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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Psychol Addict Behav. 2021 May 20;35(4):391–401. doi: 10.1037/adb0000748

Table 4.

Moderation of Changes in Affect and Substance Use in Daily Life

Negative affect
Estimate (SE)
Positive affect
Estimate (SE)
Alcohol use
Estimate (SE)
Marijuana use
Estimate (SE)
Nicotine use
Estimate (SE)
Prescription misuse
Estimate (SE)
Fixed effects
Linear change 2.86 (0.17)** −0.17 (0.13) 1.08 (0.06)** 0.62 (0.09)** −0.05 (0.08) −0.07 (0.22)
Change X Loneliness 0.07 (0.02)** 0.03 (0.02) −0.003 (0.01) −0.003 (0.006) −0.02 (0.01)** −0.01 (0.02)
Change X Financial strain 0.05 (0.10) 0.07 (0.07) −0.06 (0.03) 0.10 (0.03)** 0.15 (0.04)** 0.03 (0.12)
Change X Health anxiety 0.09 (0.03)** 0.001 (0.02) 0.01 (0.01) 0.02 (0.009)* 0.005 (0.01) 0.03 (0.03)
Change X Health neg. cons. 0.19 (0.09)* 0.06 (0.06) 0.04 (0.03) −0.05 (0.02)* 0.03 (0.03) −0.08 (0.07)
Change X Alcohol problems 0.22 (0.14) −0.07 (.10) 0.07 (0.04) −0.01 (0.04) 0.03 (0.05) 0.13 (0.14)
Change X Marijuana craving 0.02 (0.02) 0.02 (0.02) 0.003 (0.01) 0.02 (0.01)** 0.006 (0.008) 0.02 (0.03)
Model fit vs. direct model
Δ deviance parametersa 199.1** 50.4** 8.0 56.0** 13.1 1.7

Note. Results from population-average models with unstandardized coefficients and robust standard errors are presented. Only results for the linear change effect and the change X moderator interactions are presented. The linear change parameter tests the difference in adjustment indicators from the baseline assessment to the COVID-19 assessment, with a positive coefficient indicating an increase when assessed during COVID-19, as compared to baseline. Models included main effects of time elapsed, risk group, and the moderator variables as intercept covariates. Bolded results indicate fixed effects that remained significant after FDR correction for multiple tests.

a

df = 12 for χ2 test.

*

p < .05.

**

p ≤ .01.