Statistical package for social science spss version 25.0

The secondary descriptive statistics were conducted using IBM Statistical Package for Social Science (SPSS; Version 25.0) software. Using the self‐reported sociodemographic information, health status and any previous imprisonment of young people, descriptive statistics were calculated.

The data analysis process was conducted using the IBM Statistical Package for Social Science (SPSS version 25.0). Categorical data were presented using numbers and percentages. The mean and standard deviation (SD) were used to present normally distributed continuous data, while the median and interquartile range (IQR; 25th percentile [0.25 quantile] and the 75th percentile [0.75 quantile]) were used to present non-normally distributed continuous data. We used the Kolmogorov–Smirnov test and the Shapiro–Wilk test to assess continuous data normality. The comparison between two continuous variables was tested using the independent t-test for normally distributed data and the Mann Whitney test for not normally distributed data. The comparison between two categorical variables was tested using the Chi-squared test or Fisher's exact test. The primary and secondary outcomes were calculated along with the relative risks (RR) and associated 95% confidence intervals (95% CI). The 90-day HF readmission and mortality also were analysed using the Kaplan–Meier curve. The comparison of the two survival curves was compared using the Log-rank criterion. In all analyses, a p-value of <0.05 was considered statistically significant.