TY - JOUR
T1 - Predictive Model for Quality of Life in Patients 1 Year after First Stroke
AU - Kim, Sung Reul
AU - Yoo, Sung Hee
AU - Kim, Hye Young
AU - Kim, Gye Gyoung
N1 - Funding Information:
This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2017R1C1B2004016). The authors have no conflicts of interest to disclose. Correspondence Sung-Hee Yoo, PhD, RN, College of Nursing, Chonnam National University, 160 Baekseo-ro, Dong-gu, Gwangju 61469, Korea (shyoo@jnu.ac.kr). ORCID: https://orcid.org/0000-0002-0951-1670
Publisher Copyright:
© Wolters Kluwer Health, Inc. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Background Because the recurrence rate of stroke increases 1 year after its initial occurrence, it is important to predict quality of life at this stage, although most functions are likely recovered. Objectives We aimed to construct and verify a model of quality of life in patients 1 year post stroke by considering their characteristics at the time of the stroke based on the Wilson and Cleary model and previous literature. Methods Participants comprised 288 patients who had experienced their first ischemic stroke and were enrolled in 3 regional stroke centers in South Korea. Data were analyzed using path analysis to identify a model of patients' quality of life 1 year post stroke. Results Age, National Institutes of Health Stroke Scale score, the modified Rankin Scale score, and anxiety had a direct effect on quality of life, whereas type D personality and social support had an indirect effect. Type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety explained 32.9% of the total variance in quality of life. Conclusions When predicting quality of life in a patient 1 year after a stroke, it is important to consider variables such as type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety at the time of the first stroke. Interventions to improve the quality of life of patients with stroke should consider these factors.
AB - Background Because the recurrence rate of stroke increases 1 year after its initial occurrence, it is important to predict quality of life at this stage, although most functions are likely recovered. Objectives We aimed to construct and verify a model of quality of life in patients 1 year post stroke by considering their characteristics at the time of the stroke based on the Wilson and Cleary model and previous literature. Methods Participants comprised 288 patients who had experienced their first ischemic stroke and were enrolled in 3 regional stroke centers in South Korea. Data were analyzed using path analysis to identify a model of patients' quality of life 1 year post stroke. Results Age, National Institutes of Health Stroke Scale score, the modified Rankin Scale score, and anxiety had a direct effect on quality of life, whereas type D personality and social support had an indirect effect. Type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety explained 32.9% of the total variance in quality of life. Conclusions When predicting quality of life in a patient 1 year after a stroke, it is important to consider variables such as type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety at the time of the first stroke. Interventions to improve the quality of life of patients with stroke should consider these factors.
KW - anxiety
KW - quality of life
KW - social support
KW - stroke
KW - type D personality
UR - http://www.scopus.com/inward/record.url?scp=85113934022&partnerID=8YFLogxK
U2 - 10.1097/JCN.0000000000000814
DO - 10.1097/JCN.0000000000000814
M3 - Article
C2 - 33811204
AN - SCOPUS:85113934022
VL - 36
SP - E60-E70
JO - Journal of Cardiovascular Nursing
JF - Journal of Cardiovascular Nursing
SN - 0889-4655
IS - 5
ER -