Research Article

Predictors of Sun Protective Behaviors among Latino Day Laborers

Table 2

Pearson’s zero-order correlation matrix.

Variables(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)

(1) Sun protective behaviors-
(2) Age0.15-
(3) Education0.090.22-
(4) Annual income0.200.140.16-
(5) Educated in native country −0.070.11−0.23−0.22-
(6) Legal Status0.440.240.040.40−0.23-
(7) Number of years living in the U.S.0.310.590.050.24−0.070.55-
(8) Health insurance coverage0.020.210.050.21−0.160.340.28-
(9) Moles on the body0.150.03−0.040.040.130.140.100.04-
(10) Skin type0.520.110.040.090.080.220.060.07−0.05-
(11) Acculturation0.490.070.070.13−0.260.740.400.250.050.33-
(12) Knowledge of skin cancer risk factors0.600.160.040.03−0.070.370.330.040.130.390.47-
(13) Support of sun protective behaviors by supervisor0.610.050.040.190.010.180.120.030.060.370.250.41-
(14) Support of sun protective behaviors by coworkers0.490.02−0.020.150.040.020.070.010.090.330.150.340.74-
(15) Time spent outdoors at work between 10 a.m. & 4 p.m.−0.01−0.010.29−0.0300.08−0.12−0.12−0.11−0.130.07−0.080.01−0.01−0.01-
(16) Perceived barriers−0.18−0.070.10−0.110.12−0.06−0.08−0.020.06−0.06−0.080.08−0.18−0.110.04-
(17) Self-efficacy in relation to SPBs0.160.13−0.180.25−0.150.150.210.060.180.140.070.110.200.240.23−0.11-
(18) Health literacy0.530.220.160.03−0.090.240.340.13−0.010.240.310.410.350.250.21−0.140.12-

Note. , .