Statistical analyses
obesity, arrhythmia, chronic kidney disease, PD, mild/moderate alcohol
OBESITY, ISCHEMIC HEART DISEASE, ARRHYTHMIA, DIABETES MELLITUS, REGRESSION, HYPERTENSION, CEREBROVASCULAR DISEASE
We used the 17th version of the SPSS (Chicago, IL, USA) software to perform the statistical analyses. The differences in the clinical characteristics between the groups with or without both PD and PH were assessed using the Student’s t test for continuous variables (presented as mean ± SD) and a chi-squared analysis for the categorical variables (presented as a percentage). P value in univariate analysis and the importance of variables in reference were used to their selection for each model. In the binary logistic regression with a default setting of enter selection, in the total subjects, the association of functional status (independent variable) with PH (dependent variable) and PD (dependent variable) was analyzed, respectively, with adjustment for other variables including age, gender, obesity, hypertension, diabetes mellitus, history of cerebrovascular disease, chronic kidney disease, history of arrhythmia, history of ischemic heart disease, current smoking, mild/moderate alcohol consumption, regular exercise, and used of antidepressants, antipsychotics, and sedative/hypnotics. Then, the association of functional status with PD and PH were examined by gender. Statistical significance was defined as a 