Data were analyzed using the IBM Statistical Package for Social Sciences (SPSS) 26.0 statistical software (IBM Corp., Armonk, NY, USA). All data (from completed or partially completed returned surveys) were included in the analysis. Categorical variables were described using frequencies and percentages. Related to the missing values, we did not perform data manipulation for the model simulation. We excluded the cases with missing values for analysis.
We conducted univariate logistic regression analyses for each of the nine self-care questions by (1) the importance, (2) desirability, and (3) ability to perform, with each of the five demographic characteristics to assess each demographic characteristic’s contribution. As supplementary analyses, we conducted multivariate logistic regression analyses (method = enter) to determine the contributions of all five demographic attributes to the perception of importance, desire to perform, and ability to perform each of the nine self-care behaviors. We set the significance level (alpha) for all statistical tests at 0.05, two-sided.
We conducted univariate logistic regression analyses for each of the nine self-care questions by (1) the importance, (2) desirability, and (3) ability to perform, with each of the five demographic characteristics to assess each demographic characteristic’s contribution. As supplementary analyses, we conducted multivariate logistic regression analyses (method = enter) to determine the contributions of all five demographic attributes to the perception of importance, desire to perform, and ability to perform each of the nine self-care behaviors. We set the significance level (alpha) for all statistical tests at 0.05, two-sided.