Statistical analyses
diabetes
HEART DISEASE, HYPERLIPIDEMIA, REGRESSION, HYPERTENSION, DIABETES
To describe the findings, we used the mean, frequency percentage, variance, and standard deviation. To determine the confounders and other factors that might be associated to adherence to treatment and resilience, we used multiple linear regression analysis. It showed that age, gender, marital status, educational level, job, BMI, having hypertension, diabetes, and hyperlipidemia, family history of heart disease, and history of smoking were not associated to adherence to treatment and resilience. The Kolmogorov-Smirnov test was used to check the normality of data distribution. The studied samples did not have a normal distribution. Statistical analysis (Chi-square test), as well as non-parametric tests (Wilcoxon, Mann-Whitney test), were used for intergroup and intragroup comparisons. The significance level in statistical tests was considered 0.05, and SPSS statistical software version 23 was used to analyze the data.