The Factors Predicting The Mobility of Stroke Patients During The First Year of Stroke

Abstract

This predictive research was to determine the factors predicting mobility after stroke during the first year. The sample were the stroke patients who following at the hospitals in the Ministry of Public Health Region 4. The total samples were conducted by proportional random, 210 participants, who met the eligible criteria. The research instruments composed of 1) Demographic Data and Health Status Questionnaire 2) Mobility Self-Efficacy Scale 3) Perceived Susceptibility Scale and 4) Activity of Daily Living and Mobility Assessment. Data were analyzed using Descriptive statistics, Chi-square test, Pearson’s product correlation coefficient, Spearman’s Rank correlation coefficient, and Stepwise multiple regression analysis. The results found that the mean scores of participant’s mobility were high level. By examining the Stepwise multiple regression for prediction, it was found that the factors could predict mobility self-efficacy, muscle power, mobility complications, body mass index, and perceived susceptibility of decrease mobility (p < .05). All five variables were able to predict mobility at 58.8%. The findings of study supported ICF model of WHO that the health status factors and the modifying factors were correlated and could predict mobility of the stroke patients during the first year. These data can be useful for health promotion of mobility after stroke for increasing quality of life later.