Table 5.

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

Standardized βs
Step 1Step 2
Previous melanoma
Step 1: demographic and clinical factorsAge0.05−0.02
Gender (men = 1, women = 2)0.19*0.14
No. of melanoma risk factors0.140.08
Latitude of residence (increasing value with increased proximity to the equator)0.080.03
Step 2 Attitudinal/motivational factorsPerceived vulnerability0.04
Perceived severity0.08
Worry about developing a melanoma0.10
Benefits of protection behavior0.03
Perceived self-efficacy to protect0.05
Barriers of or facilitators to sun protection−0.37*
Attitude toward suntans−0.14
R20.07*0.29*
R2 change0.22*
No previous melanoma
Step 1: demographic and clinical factorsAge0.10*0.01
Gender (men = 1, women = 2)0.06*0.04*
No. of melanoma risk factors0.21*0.13*
Latitude of residence (increasing value with increased proximity to the equator)0.310.13
Step 2 Attitudinal/motivational factorsPerceived vulnerability0.006
Perceived severity−0.005
Worry about developing a melanoma0.04
Benefits of protection behavior0.14*
Perceived self-efficacy to protect0.01
Barriers of or facilitators to sun protection−0.44*
Attitude toward suntans−0.16*
R20.16*0.45*
R2 change0.29*
  • *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.