Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study

Table 2 Bivariate correlations of the PMT constructs and the protective behaviors of COVID-19

Variables	Item number	α	Range of score	Crude mean (SD)	Adjusted mean (SD)	Mean percentage	2	3	4	5	6	7	8	9
Vulnerability	4	0.773	4–20	16.11(2.37)	4.03(.594)	80.570	0.321^a	−0.180^a	0.284^a	0.172^a	−0.009	0.086^a	0.263^a	0.192^a
Severity	6	0.765	6–30	21.69(3.66)	3.62(.610)	72.306		−0.200^a	0.198^a	0.042	0.035	0.035	0.169^a	0.092^a
Rewards	7	0.793	7–35	15.29(4.89)	2.18(.699)	43.676			−0.321^a	−0.215^a	0.422^a	0.104^a	−0.285^a	−0.243^a
Response efficacy	7	0.789	7–35	29.77(3.66)	4.25(.523)	85.049				0.484^a	−0.159^a	0.044	0.509^a	0.398^a
Self-efficacy	6	0.782	6–30	25.31(3.45)	4.22(.576)	84.381					−0.188^a	−0.021	0.599^a	0.497^a
Costs	7	0.751	7–35	21.88(4.41)	3.13(.630)	62.512						0.321^a	−0.076^a	−0.121^a
Fear	6	0.917	6–30	21.20(5.45)	3.53(.908)	70.666							0.321^a	−0.024
Motivation	7	0.896	7–35	32.17(3.50)	4.60(.500)	91.924								0.595^a
COVID-19 preventive behaviors	10	0.850	0–40	35.24 (4.75)	3.52(.475)	88.101

ISSN: 1471-2458