The Relationship Between Sociodemographic Factors and Self Management in Stroke Patients

Abstract

Stroke is very common in society and can cause physical disability and even death. Stroke can be affected by poor self-management. Sociodemographic factors can influence self-management. The purpose of this study was to determine the relationship between sociodemographic factors and self-management in stroke patients. This study used an observational approach with a cross-sectional design. 64 people were recruited using purposive sampling. The inclusion criteria included patients with a stroke diagnosis, who were conscious and able to communicate both verbally and in writing. Data collection was through the SSMQ questionnaire and data analysis involved the Chi-square test. The results indicated that most of the respondents had good self-management (64.1%). There was no significant influence of age (p = 0.111), gender (p = 0.885), occupation (p = 0.596), stroke duration (p = 0.182) or education (p = 0.588) on self-management. Income had a significant relationship with self-management of (p = 0.044). Keywords: sociodemography, self management, stroke