Table 5.

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

		Standardised betas
Previous Melanoma		Step 1	Step 2
Step 1 Demographic and clinical factors	Age	0.05	−0.02
	Gender (men=1, women=2)	0.19**	0.14*
	Number 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 behaviour		0.03
	Perceived self-efficacy to protect		0.05
	Barriers of or facilitators to sun protectiona		−0.37**
	Attitude towards 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**
	Number 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 behaviour		0.14**
	Perceived self-efficacy to protect		0.01
	Barriers of or facilitators to sun protectiona		−0.44**
	Attitude towards suntans		−0.16**
R2		0.16 **	0.45 **
R2 change			0.29**

^aInitially, 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;

^*= p < 0.01

^**= p < 0.001.