Lakhasly

Data analysis was executed utilizing the SPSS 22.0 software suite (IBM Inc., Chicago, IL, USA), which is specifically tailored for social sciences research.A statistical significance threshold was established at p < 0.05.Utilizing a process modeling approach, the endeavor was to delineate the direct relations between self-compassion and both depression and anxiety, while also dissecting the indirect pathways orchestrated through the mediators of emotional resilience and cognitive emotion regulation approaches.To scrutinize mediation impacts, we employed the PROCESS macro for SPSS, accessible through https://processmacro.org/index.html (accessed on 15 August 2023) [23].The bootstrap method, a non-parametric resampling technique that forgoes the necessity for assuming normality in the sampling distribution, was instituted with a basis of 5000 resamples.

Data analysis was executed utilizing the SPSS 22.0 software suite (IBM Inc., Chicago, IL, USA), which is specifically tailored for social sciences research. We assessed the normality of the distribution of the sample by leveraging skewness and kurtosis values, complemented by the Kolmogorov–Smirnov test. To scrutinize the scale score differences between various subgroups of cancer patients according to the types of their cancer, we utilized the Kruskal–Wallis test. Furthermore, to gauge the interrelations between variables, Pearson’s correlation tests were employed, the application of which was grounded on the data distribution. In our research, we leveraged both univariate and multivariate logistic regression analyses to pinpoint the independent precursors of depression and anxiety in cancer patients. To scrutinize mediation impacts, we employed the PROCESS macro for SPSS, accessible through https://processmacro.org/index.html (accessed on 15 August 2023) [23]. Utilizing a process modeling approach, the endeavor was to delineate the direct relations between self-compassion and both depression and anxiety, while also dissecting the indirect pathways orchestrated through the mediators of emotional resilience and cognitive emotion regulation approaches. The bootstrap method, a non-parametric resampling technique that forgoes the necessity for assuming normality in the sampling distribution, was instituted with a basis of 5000 resamples. To discern the mediation consequences, we engaged bias-corrected 95% confidence intervals (CI). A statistical significance threshold was established at p < 0.05. We ensured data completeness by only including patients with fully completed questionnaires in the study; thus, there were no missing data among the eligible patients