Statistical analyses
sunburned, ’s cancer worry, melanoma, sunburn, sunburns, skin cancer
REGRESSION, SKIN CANCER, MELANOMA
All participants who completed baseline questionnaire were included in these analyses, regardless of whether they contributed further to the intervention study. Differences in baseline participant characteristics across groups defined by geography and language (English-preferring Tampeños, Spanish-preferring Tampeños, and Spanish-preferring Puerto Ricans) were tested using Kruskal-Wallis, ANOVA, or chi-squared tests. Participant characteristics with a statistically significant global difference (For sun-related behaviors and psychosocial variables, univariate differences across the three groups were also tested using Kruskal-Wallis, ANOVA, or chi-square tests. We examined differences in weekday and weekend sun exposure, frequency of outdoor intentional tanning, Lerman’s cancer worry scale, recent worry about skin cancer, recent concern about skin cancer, perceived risk of getting skin cancer, recent distress about skin cancer, response efficacy, self-efficacy, perceived severity, fatalism and familism. The frequencies of sun protection behaviors were examined individually as binary dependent variables (often or always vs. sometimes, rarely, or never), while absolute chance of getting skin cancer was treated as a nominal multinomial variable. Ever having a sunburn was examined as a binary dependent variable, and we assessed number of sunburns among those ever sunburned as a continuous dependent variable. We also tested the difference in the total number of sun protection behaviors practiced often or always in the past year (range 0–5).To estimate the multivariable-adjusted population predicted marginal mean or proportion for dependent variables, and for multivariable modeling of differences across the three groups, we used linear regression for ordinal variables (weekday and weekend sun exposure, number of sunburns, frequency of outdoor intentional tanning, total number of sun protection behaviors, Lerman’s cancer worry scale, recent worry about skin cancer, recent concern about skin cancer, comparative chance of getting skin cancer, recent distress about skin cancer, response efficacy, self-efficacy, perceived severity, fatalism, familism, and sun protection behaviors; all of which were assumed to have a normal distribution), logistic regression for binary variables (frequencies of the five sun protection behaviors), and multinomial logistic regression for multinomial variables (absolute chance of getting melanoma). Pairwise comparisons were adjusted for multiple hypotheses testing using Tukey’s studentized range method. Due to the inclusion of baseline questionnaire B variables in the model, these analyses were limited to participants who answered both baseline questionnaires.All analyses were conducted using R software (ver 4.1.0, R Foundation for Statistical Computing, Vienna, Austria, RRID:SCR_001905), RStudio (ver 1.4.1717, RStudio Team, Boston, MA, RRID:SCR_000432), and SAS (ver. 9.4., Statistical Analysis System, RRID:SCR_008567).