Table 5.

Regression analysis showing associations between demographic, clinical, attitudinal/motivational factors, and sun protection behavior

		Standardized βs
		Step 1	Step 2
Previous melanoma
Step 1: demographic and clinical factors	Age	0.05	−0.02
	Gender (men = 1, women = 2)	0.19^*	0.14^†
	No. of melanoma risk factors	0.14^†	0.08
	Latitude of residence (increasing value with increased proximity to the equator)	0.08	0.03
Step 2 Attitudinal/motivational factors	Perceived vulnerability		0.04
	Perceived severity		0.08
	Worry about developing a melanoma		0.10
	Benefits of protection behavior		0.03
	Perceived self-efficacy to protect		0.05
	Barriers of or facilitators to sun protection^‡		−0.37^*
	Attitude toward suntans	−0.14^†
R²		0.07^*	0.29^*
R² change			0.22^*
No previous melanoma
Step 1: demographic and clinical factors	Age	0.10^*	0.01
	Gender (men = 1, women = 2)	0.06^*	0.04^*
	No. of melanoma risk factors	0.21^*	0.13^*
	Latitude of residence (increasing value with increased proximity to the equator)	0.31^†	0.13^†
Step 2 Attitudinal/motivational factors	Perceived vulnerability		0.006
	Perceived severity		−0.005
	Worry about developing a melanoma		0.04^†
	Benefits of protection behavior		0.14^*
	Perceived self-efficacy to protect		0.01
	Barriers of or facilitators to sun protection^‡		−0.44^*
	Attitude toward suntans		−0.16^*
R²		0.16^*	0.45^*
R² change			0.29^*

↵*P < 0.001.
↵^†P < 0.01.
↵^‡Initially, each of the subscales measuring barriers to sun protection was entered into the model at the fourth step, but due to collinearity the total score measuring barriers/facilitators was used in the final model.