TABLE 1.

Results from regression of post-condition positive affect on demographics (model 1), condition (model 2), and additional confounders (model 3) following virtual and physical nature exposure (no nature exposure serves as the control condition).

	Model 1			Model 2			Model 3
Predictors	Estimates	CI	p	Estimates	CI	p	Estimates	CI	p
Intercept	0.40	−1.88 – 2.69	0.730	0.90	−1.03 – 2.83	0.362	0.48	−1.54 – 2.50	0.642
Baseline positive affect	0.90	0.69 – 1.10	<0.001	0.83	0.66 – 1.01	<0.001	0.78	0.62 – 0.95	<0.001
Age	−0.02	−0.12 – 0.09	0.719	−0.05	−0.14 – 0.04	0.251	−0.06	−0.14 – 0.03	0.201
Gender	0.04	−0.21 – 0.29	0.762	0.01	−0.20 – 0.22	0.930	−0.05	−0.27 – 0.16	0.634
Race (white)	0.29	0.03 – 0.56	0.035	0.20	−0.03 – 0.43	0.091	0.14	−0.09 – 0.37	0.247
VR treatment				0.52	0.27 – 0.76	<0.001	0.53	0.30 – 0.76	<0.001
Outdoor treatment				0.77	0.50 – 1.05	<0.001	0.79	0.53 – 1.05	<0.001
Disgust sensitivity							−0.06	−0.19 – 0.07	0.398
Engagement with beauty							0.18	0.07 – 0.28	0.001
Frequency of nature visits							0.01	−0.06 – 0.07	0.872
Experience using VR							−0.06	−0.15 – 0.03	0.174
Observations	82			82			82
R2/adjusted R2	0.580/0.559			0.714/0.691			0.765/0.731

Statistically significant estimates at p < 0.05 in bold.