Spss software for window

Results of CORT treated mice were normalized against the mean of their respective control group. All data were tested for normality using Kolmogorov-Smirnov test prior to further statistical evaluation. All behavioral experiments, except SI, were analyzed using unpaired two-tailed Student’s t-test or corrected with Welch’s t-test, where appropriate. Bodyweight measurements and SI were evaluated using repeated measure one-way ANOVA with posthoc pairwise comparison.
Statistical outliers (values outside of the interval: mean ± 2 standard deviations, which covers >95% of a normal distribution) were excluded from further analysis.
All statistical analyses were performed using SPSS software, for windows, Version 24 (IBM Corporation, Chicago, IL, USA) and Graphpad Prism, Version 7 (San Diego, CA, USA). A summary of all statistical results is provided in Table S1.

The WHO-5 scores were calculated according to the established scoring algorithms, with higher scores indicating better mental well-being, contrary to the depression scores of the PHQ-9. Sociodemographic variables were categorized for analysis purposes as shown in Table 1. We first investigated the prevalence of depression and PMWB across different characteristics among participants by using Pearson’s χ² test. Then the associations between long working hours and psychological outcomes (depression and PMWB) were assessed via multivariate logistic regression. The logistic regression models were fitted using the categories of scale scores as the dependent variables and weekly working hours as the independent variable. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Finally, we assessed the impact of having hobbies on the mean score changes of the PHQ-9 and WHO-5 scales in the four WWH groups using a general linear model and simultaneously explored whether there was an interaction effect between working hours and having hobbies. A two-tailed alpha with p value < 0.05 was considered statistically significant. All the data analyses were performed using SPSS software for Windows, version 22.0 (IBM, Armonk, NY, USA).

Categorical data were reported as number (n) and percentage (%) and tested for differences using the chi-square test. Numerical data were described as mean ± standard deviation (SD). To explore normality, the Shapiro–Wilk test was used. For normally distributed data, inter-group comparisons took place using an independent t-test while intra-group comparisons between different time points were done using repeated-measure ANOVA with Bonferroni adjustment. For non-normally distributed data, the Mann–Whitney test was used for inter-group comparisons and the Friedman test for intra-group comparisons. A stepwise linear regression model was constructed for primary outcome (CAL-gain after 9 months) as the dependent variable, while study group, age, tooth distribution, number of defect walls, baseline radiographic angle, FMBS, and FMBS at baseline and 9 months as well as radiographic bone fill at 9 months were the independent variables. All comparisons were two-tailed and p < 0.05 was described as statistically significant. Analyses were conducted using the SPSS software for Windows (version 26, IBM, NY, USA).

All data were analyzed using the IBM SPSS software for Windows (version 23.0; SPSS Inc., Chicago, IL, USA). Continuous variables were summarized as the means ± standard deviations if they were normally distributed. Ranked data were expressed as the medians and ranges. The differences between groups were analyzed using the independent samples t test for continuous variables, the Mann-Whitney U test for ranked variables, and Fisher’s exact test or the Chi-square test for categorical variables. P values less than 0.05 (2-tailed) were considered significant.