Table 1.

The exploratory factor analysis results of the measures.

During Peaks in the COVID-19 Pandemic,	Factor 1	Factor 2	Factor 3	Factor 4	Factor 5	Factor 6
1. My chances of getting COVID-19 are great.	0.94
2. There is a good possibility that I will get COVID-19.	0.93
3. I worry a lot about getting COVID-19.	0.53
4. I am more likely than the average person to get COVID-19.	0.73
5. COVID-19 is a hopeless disease.		0.50
6. Problems I would experience from COVID-19 would last a long time.		0.72
7. Getting COVID-19 would result in serious consequences.		0.84
8. If I got COVID-19, my life would change.		0.76
9. Staying at home prevents me from getting COVID-19.			0.69
10. If I do not stay at home, it is more likely that I will get COVID-19.			0.60
11. If I stay at home, I would become less anxious about getting COVID-19.			0.64
12. Staying at home can help me to stay in a healthy condition.			0.71
13. Staying at home causes me inconvenience.				0.75
14. Staying at home interferes with my activities.				0.86
15. If I stay at home, I will have to break my usual life habits.				0.84
16. If I stay at home, my daily schedule will be disrupted.				0.83
17. In order to stay at home, I have to give up quite a bit.				0.82
18. I will always stay at home except for essential activities.					0.82
19. I will recommend others to stay at home.					0.78
20. I will continue staying at home.					0.88
21. How many times did you go outside each week?						0.90
22. How many hours did you go outside each week?						0.74
23. How frequently did you go outside?						0.85
Percentage of variance accounted for (%)	8.96	8.11	16.19	21.44	2.85	5.74
Cronbach α for subscale	0.86	0.79	0.77	0.91	0.87	0.87
Composite reliability (CR)	0.87	0.80	0.77	0.91	0.88	0.87
Average variance extracted (AVE)	0.64	0.51	0.46	0.68	0.70	0.70

Note. Extraction method: principal axis factoring; rotation method: oblimin with Kaiser normalization.