• Users Online: 159
  • Print this page
  • Email this page
ORIGINAL ARTICLE
Year : 2021  |  Volume : 8  |  Issue : 4  |  Page : 290-295

Factors predicting quality of life in stroke patients: A cross-sectional study


1 Trauma Nursing Research Centre, Faculty of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, Iran
2 Department of Nursing, Trauma Nursing Research Center, Faculty of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, Iran

Correspondence Address:
Dr. Zahra Sooki
Trauma Nursing Research Centre, Faculty of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/iahs.iahs_189_21

Rights and Permissions

Aims: Stroke affects the quality of life by affecting daily activities. This study aimed at determining the factors predicting quality of life in patients with stroke referring to Shahid Beheshti Hospital in Kashan. Materials and Methods: In this cross-sectional study, sampling was done by census method during 2019 and in the first 6 months of 2020, and 188 patients with stroke referring to Shahid Beheshti Hospital in Kashan who had at least 2 months after stroke were evaluated. Data collection tools were questionnaire of Stroke Impact Scale-16 and possible factors associated with stroke. Data were analyzed using SPSS software version 16 using the tests of Mann–Whitney, Kruskal–Wallis, independent t-test, Pearson's correlation coefficient (Spearman), and multivariate linear regression analysis. Findings: The mean quality of life was 50.92 ± 24.97. In univariate analysis, the quality of life was significantly associated with gender, marital status, education level, type of stroke, use of rehabilitation services, spouse's education level, occupation, number of children, regular exercise, history of hypertension, and previous history of stroke. Based on the results of multivariate analysis, 62.4% of variance was explained by four factors of the required number of rehabilitation sessions, history of previous stroke, level of education, and severity of stroke (F = 11.597, R2 = 0.624, and P < 0.001). The most important factor was the number of rehabilitation sessions required. Conclusion: To improve the stroke patients' quality of life, healthcare professionals should pay attention to the predictive role of low education level, more need for rehabilitation, severity, and history of stroke in their programs and procedures.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed1688    
    Printed34    
    Emailed0    
    PDF Downloaded99    
    Comments [Add]    

Recommend this journal