Skip to main content
. 2021 Jun 11;209(6):443–448. doi: 10.1097/NMD.0000000000001326

TABLE 3.

Hierarchical Multiple Linear Regression for Predicting Anxiety Symptoms

Predictor ΔR2 B SE β t LLCI ULCI p
Step 1 0.06
Age 1.74 0.05 0.00 0.00 −0.01 0.01 1.00
Sex 1.44 0.69 0.17 2.10 0.08 2.80 0.04*
Marital status 0.74 0.72 0.08 1.02 −0.68 2.15 0.31
Education −0.44 0.66 −0.05 −0.66 −1.74 0.87 0.51
Self-rated health −0.29 0.41 −0.07 −0.71 −1.10 0.52 0.48
Economic situation −0.72 0.40 −0.15 −1.83 −1.50 0.06 0.07
Chronic medical conditions 0.14 0.23 0.05 0.61 −0.31 0.59 0.54
Exposure to COVID-19–related situations 0.07 0.28 0.02 0.26 −0.48 0.62 0.80
Behavioral change 0.13 0.13 0.07 1.00 −0.13 0.39 0.32
Step 2 0.15***
Resilience −2.08 0.46 −0.33 −4.58 −2.98 −1.19 0.00***
ArtE −51 0.24 −0.15 −2.11 −0.99 −0.03 0.04*
Step 3 0.03**
Resilience × ArtE 0.64 0.24 0.19 2.64 0.16 1.12 0.01**
Total R2 0.24**
N 191

In each subsequent step, only the new variables are shown (and not those from previous steps). Data were mean centered before the analyses.

LLCI indicates lower levels for confidence interval; ULCI, upper levels for confidence interval.

*p < 0.05.

**p < 0.01.

***p < 0.001.