Qiao-Xuan Xie

Qiao-Xuan Xie


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 August 2015 in Health and Quality of Life Outcomes
Verified
Journal Article
Open access
PDF file
CCChih-Cheng Chen
Chih-Cheng Chen
CTChih-Chien Tsai
Chih-Chien Tsai
CCChia-Ying Chung
Chia-Ying Chung
CCChia-Ling Chen
Chia-Ling Chen
QXQiao-Xuan Xie
Qiao-Xuan Xie
HCHsieh-Ching Chen
Hsieh-Ching Chen
Improving HRQOL is the desired outcome for patients with stroke undergoing inpatient rehabilitation services. This study aimed to comprehensively identify the potential health-related quality of life (HRQOL) predictors in patients with stroke undergoing inpatient rehabilitation within the first year after stroke; thus far, such an investigation has not been conducted. We enrolled 119 patients (88 males, 31 females) with stroke, and examined 12 potential predictors: age, sex, stroke type, stroke side, duration after onset, cognition (Mini-Mental State Examination; MMSE), depression (Beck Depression Inventory-II), stroke severity (National Institutes of Health Stroke Scale; NIHSS), upper- and lower-extremity motor function scores of the Fugl–Meyer Assessment (FMA) scale, balance (Berg Balance Scale; BBS), and functional status (Functional Independence Measure). HRQOL was measured using Stroke Impact Scale (SIS) 3.0. NIHSS score predicted the strength domain and total SIS score (41.5 % and 41.7 % of the variances, respectively). BBS score was a major predictor of mobility and participation/role domains (48.6 % and 10 % of the variances, respectively). MMSE score predicted the memory and communication domains (22.5 % and 36.3 % of the variances, respectively). Upper extremity score of the FMA scale predicted the daily living/instrumental activities of daily life and hand function domains (40.3 % and 20.6 % of the variances, respectively). Stroke side predicted the emotion domain (11.6 % of the variance). NIHSS, MMSE, BBS, FMA, and stroke side predicted most HRQOL domains. These findings suggest that different factors predicted various HRQOL domains in patients with stroke.