Method of data analyses
The data were analyzed using IBM Statistical Packages for the Social Sciences (SPSS 25.0: SPSS Inc., Chicago, IL, USA). The Socio-demographic characteristics data were summarized using descriptive statistics of frequency count, percentages, mean, and standard deviation. An Independent t-test was used to compare the baseline QOL scores between the experimental and control groups before the intervention. Analysis of Covariance (ANCOVA) test statistics was used to compare the changes that occurred in HRQOL between the experimental and control groups 6 months’ post-intervention. Paired samples test was used to examine the changes that occurred between the components of HRQOL. Spearman rank order correlation was used to test the relationship between age and HRQOL domains. T-test was used to test the association between gender and the domains of the HRQOL in all tests, p-value less than 0.05 alpha levels were considered significant.