Spss statistics software program for windows version 25

The factors associated with the dose of mood stabilizers among bipolar disorder patients were examined using linear regression with forced entry. These factors included sex, height, weight, educational level, GAF score, psychiatric comorbidity, rapid cycle status, substance abuse, mood status, and total number of episodes. The dummy variables included were as follows: male = 1 and female = 2; junior high school graduate = 1, high school = 2, junior college = 3, college = 4, and postgraduate degree = 5; GAF (81−100) = 0, GAF (61−80) = 1, GAF (41−60) = 2, and GAF (< 41) = 3; depression = 1 and without depression = 0; mania = 1 and without mania = 0; psychotic feature = 1 and without psychotic feature = 0; suicidal ideation = 1 and without suicidal ideation = 0; rapid cycler = 1 and not rapid cycler = 0; and substance abuse = 1 and without substance abuse = 0. Pearson correlations were performed for association between doses of mood stabilizers. All statistical tests were based on a two-sided significance level of 0.05. The SPSS Statistics software program for Windows, version 25.0 (IBM Japan, Tokyo, Japan), was used for all analyses.

Descriptive statistics were expressed as median (interquartile range; IQR) for continuous variables, and as frequency (percentage) for categorical or ordinal variables. We compared cases from 2005-2018 (before algorithm) and from 2019-2020 (after algorithm) with regards to age, sex, time to hospital visit (min), maximum symptom grade during hospitalization laboratory data, treatment method and the period of hospitalization. Mann-Whitney U-tests were used for continuous variables and Fisher's exact tests for categorical or ordinal variables. Two-sided p<0.05 was considered to be statistically significant. All data were analyzed with the SPSS Statistics software program for Windows, Version 25.0 (IBM, Armonk, USA).

All analyses were performed using the IBM SPSS Statistics software program for Windows, version 25.0 (IBM, Armonk, USA). Three participants with missing values were excluded from the analysis. A p value ＜0.05 was considered statistically significant.
Mann-Whitney U-tests were used to compare the means between the two groups to assess the presence or absence of depression. Chi-square tests were used to compare depression rates between the two groups.
To identify the characteristics of coping strategies in patients with type D personality, subscales of the TAC-24 were compared between patients with type D and non-type D personality using the Mann-Whitney U test.
Univariate and multivariate analyses were conducted to identify the presence or absence of depression as a dependent variable. Variables of age, gender, and those that were significant at a p value ＜0.10 were entered into the multivariate logistic regression model as independent variables. Independent variables with a p value ＜0.05 were considered candidates for the multiple linear regression analysis after checking for multicollinearity (r＜0.9 between tested independent variables).