<b><span style="font-family:Verdana;">Objective:</span></b><span style="font-family:Verdana;"> The number of people with stroke increases worldwide. The stroke s</s...<b><span style="font-family:Verdana;">Objective:</span></b><span style="font-family:Verdana;"> The number of people with stroke increases worldwide. The stroke s</span><span style="font-family:""><span style="font-family:Verdana;">urvivors live with disabilities and those influence their quality of life (QOL). This study was aimed to investigate the association between clinical characteristics and QOL of th</span><span style="font-family:Verdana;">e older people with st</span><span style="font-family:Verdana;">roke at discharge from the hospital. </span><b><span style="font-family:Verdana;">Methods:</span></b><span style="font-family:Verdana;"> This is a cross-sectional study. The participants were 113 stroke survivors aged 60 years and older admitted to the stroke unit. Quality of life was the study’s outcome which measured by using the abbreviated version of t</span><span style="font-family:Verdana;">he </span><span style="font-family:Verdana;">World Health Organization Quality of Life (WHOQOL-BREF). Primary clinical characteristics were measured by the National Institute of Health Stroke</span> <span style="font-family:Verdana;">Scale (NIHSS), Barthel Index (BI), and Modified Rankin Scale (mRS). Po</span><span style="font-family:Verdana;">tential confounding factors were age, sex, education levels, marital status, curre</span><span style="font-family:Verdana;">nt occupation, and comorbidity (hypertension, diabetes mellitus, dyslipi</span><span style="font-family:Verdana;">demia, and heart disease). Multiple linear regression was used for data analys</span><span style="font-family:Verdana;">is</span><span style="font-family:Verdana;">.</span><span> </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> The main effects of clinical outcomes were high BI Score that had a significant difference association with QOL (</span></span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;"> = </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.312, 95%</span><span style="font-family:""> </span><span style="font-family:Verdana;">CI =</span><span style="font-family:""> </span><span style="font-family:Verdana;">0.042,</span><span style="font-family:Verdana;"> 0</span><span style="font-family:Verdana;">.296,</span><span style="font-family:Verdana;"> <i></span><span style="font-family:Verdana;"> <i>P</i></span><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;"> = 0.009), lower mRS score also had significant difference association with QOL (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;">= </span><span style="font-family:""><span style="font-family:Verdana;">-0.</span><span style="font-family:Verdana;">371, 95%CI = </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">5.394, </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1.162, </span></span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">P</span></i><span style="font-family:""> </span><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;">= 0.003) after all adjusting. Additional risk factor in this study was marital status (currently married) (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;">= </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.155, 95%</span><span style="font-family:""> </span><span style="font-family:Verdana;">CI = </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.226, 8.666, </span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">P</span></i><span style="font-family:Verdana;"></i></span><i><span style="font-family:""> </span></i><span style="font-family:""><span style="font-family:Verdana;">= 0.039). </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Low function status and </span><span style="font-family:Verdana;">severe stroke disability as the clinical characteristics were associated with QOL in</span><span style="font-family:Verdana;"> older people with stroke at hospital discharge. An additional factor was marital status (currently married).展开更多
文摘<b><span style="font-family:Verdana;">Objective:</span></b><span style="font-family:Verdana;"> The number of people with stroke increases worldwide. The stroke s</span><span style="font-family:""><span style="font-family:Verdana;">urvivors live with disabilities and those influence their quality of life (QOL). This study was aimed to investigate the association between clinical characteristics and QOL of th</span><span style="font-family:Verdana;">e older people with st</span><span style="font-family:Verdana;">roke at discharge from the hospital. </span><b><span style="font-family:Verdana;">Methods:</span></b><span style="font-family:Verdana;"> This is a cross-sectional study. The participants were 113 stroke survivors aged 60 years and older admitted to the stroke unit. Quality of life was the study’s outcome which measured by using the abbreviated version of t</span><span style="font-family:Verdana;">he </span><span style="font-family:Verdana;">World Health Organization Quality of Life (WHOQOL-BREF). Primary clinical characteristics were measured by the National Institute of Health Stroke</span> <span style="font-family:Verdana;">Scale (NIHSS), Barthel Index (BI), and Modified Rankin Scale (mRS). Po</span><span style="font-family:Verdana;">tential confounding factors were age, sex, education levels, marital status, curre</span><span style="font-family:Verdana;">nt occupation, and comorbidity (hypertension, diabetes mellitus, dyslipi</span><span style="font-family:Verdana;">demia, and heart disease). Multiple linear regression was used for data analys</span><span style="font-family:Verdana;">is</span><span style="font-family:Verdana;">.</span><span> </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> The main effects of clinical outcomes were high BI Score that had a significant difference association with QOL (</span></span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;"> = </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.312, 95%</span><span style="font-family:""> </span><span style="font-family:Verdana;">CI =</span><span style="font-family:""> </span><span style="font-family:Verdana;">0.042,</span><span style="font-family:Verdana;"> 0</span><span style="font-family:Verdana;">.296,</span><span style="font-family:Verdana;"> <i></span><span style="font-family:Verdana;"> <i>P</i></span><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;"> = 0.009), lower mRS score also had significant difference association with QOL (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;">= </span><span style="font-family:""><span style="font-family:Verdana;">-0.</span><span style="font-family:Verdana;">371, 95%CI = </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">5.394, </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1.162, </span></span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">P</span></i><span style="font-family:""> </span><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;">= 0.003) after all adjusting. Additional risk factor in this study was marital status (currently married) (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;"></i></span><span style="font-family:Verdana;">= </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.155, 95%</span><span style="font-family:""> </span><span style="font-family:Verdana;">CI = </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.226, 8.666, </span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">P</span></i><span style="font-family:Verdana;"></i></span><i><span style="font-family:""> </span></i><span style="font-family:""><span style="font-family:Verdana;">= 0.039). </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Low function status and </span><span style="font-family:Verdana;">severe stroke disability as the clinical characteristics were associated with QOL in</span><span style="font-family:Verdana;"> older people with stroke at hospital discharge. An additional factor was marital status (currently married).
