Spss for windows version 26

MANCOVA was conducted to examine the associations between combinations of the 24-hour movement guidelines with depression and anxiety. According to participants’ adherence to the 24-hour movement guidelines, they were classified into eight mutually exclusive groups: None, Sleep only, SB only, MVPA only, Sleep + SB, Sleep + MVPA, SB + MVPA, and All three. Pairwise post hoc comparisons (Bonferroni test) were then performed to examine the differences of depression and anxiety levels across these eight groups after adjusting for socio-demographic variables. MANCOVA was performed in SPSS for Windows, version 26.0 (IBM Corp, Armonk, NY, USA). Statistical significance was set at p < 0.05 (two-tailed) for interpreting the results.

Categorical data are presented as proportions, normally distributed continuous data as mean values, and continuous data with a skewed distributed as median (i.q.r.). Normality of distribution was checked by the Kolmogorov–Smirnov test. Mann–Whitney U, χ² and Fisher’s exact test were used as appropriate to compare baseline characteristics. Statistical significance was set at two-sided P < 0.050. Data were analysed using SPSS^® for Windows^® version 26.0 (IBM, Armonk, NY, USA).

Data were analyzed with the SPSS for Windows version 26.0 (IBM Corp, Armonk, NY). Categorical variables were expressed as number and percentage and were analyzed using the chi-square or Fisher exact test as appropriate. Continuous variables were presented as mean ± standard deviation (or median and range) and compared with 2-tailed Student’s t-tests or Mann-Whitney U-tests, as appropriate. Normality was assessed with the Kolmogorov-Smirnov test.
A forward multiple logistic regression analysis was performed to identify independent predictive factors for receiving postoperative CRRT and 30-day mortality in patients with CRRT. This model included risk factors that were first identified by univariate analysis (p < 0.2). Hosmer and Lemeshow tests and −2 log likelihood provided an evaluation of the logistic regression model.
Receiver-operating characteristic (ROC) curves were constructed and the area under the ROC curve (AUC) was determined to estimate the accuracy of using variables of intent to predict the require for postoperative CRRT. The optimal cutoff value was assessed by You-den’s index (J = Sensitivity + Specificity – 1). All analyses were two-sided, and p-value of < 0.05 was considered statistically significant.

All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) for Windows version 26.0 (IBM SPSS Statistics for Windows, Armonk, NY, USA). Measurement data are expressed as the mean ± standard deviation. For between-group comparisons, normally distributed variables were assessed using an independent sample t test. A Wilcoxon signed-rank test was used to compare the change in radiographic parameters from preoperatively to postoperatively. The VAS and ODI scores in each group at different time points were compared using repeated measures analysis of variance. Chi-square analysis was used to compare the count data. Statistical significance was set at P < 0.05, and all P values were 2-tailed.

Data were retrospectively collected from our medical system (e-MedSolution) and personal patient documentation. Personal patient data were also collected. Descriptive statistics were performed using R statistical software, version 4.2.2 (R Foundation, Vienna, Austria), and SPSS for Windows, version 26.0 (IBM Corp., Armonk, NY, USA). Descriptive statistics are presented as the mean ± standard deviation (SD) for continuous variables and as the count and percentage for categorical variables.