Spss version 13.0j for windows

Descriptive statistics, including the median and first and third quartiles, were first calculated for all patients’ attributes and assessment results. Then, patients were assigned to five groups according to CBA severity at discharge, and descriptive statistics, including the percentage of independence in each ADL, were calculated. The total scores of the FIM motor items were compared for each group using the Kruskal–Wallis test. The Bonferroni method was used to adjust the significance level for multiple comparisons. Multiple logistic regression analysis was performed to clarify the association between CBA severity and independence in ADL items affecting discharge to home [25 (link)] (FIM score on dressing the upper body, transfers to bed/chair/wheelchair, transfers to the toilet, sphincter control-bladder management), walking (FIM score > 6 points). The presence or absence of mild or normal CBA was entered into the regression model. Factors affecting the functional prognosis of patients with stroke [6 (link),27 (link)], such as age, sex, post-onset period, and BRS (lower limb stage III or lower or other), were included as covariates. SPSS version 13.0J for Windows (SPSS Japan Inc., Tokyo, Japan) was used for all statistical analyses, and the statistical significance level was set at 5% in all cases.

The relationships among BF, TP, OBC, and BMI were evaluated using Pearson's correlation, and other relationships were evaluated using Spearman's rank-order correlation. Mean values of subgroups with SDQ scores of <11 or ≥11 and subgroups with OBC of >Level 5 or ≤ Level 5 were compared using independent samples t-tests. All statistical analyses were performed using SPSS version 13.0 J for Windows (SPSS, Inc., Chicago, IL, USA). p < 0.05 (two-tailed) was considered statistically significant for all tests.