Study Design: Prospective study.
Objective: To evaluate the reliability and validity of the adapted Korean version of the Quebec Back Pain Disability Scale (QDS).
Summary Of Background Data: The Korean version of the QDS has not been validated.
Methods: Translation/retranslation of the English version of QDS was conducted, and all steps of the cross-cultural adaptation process were performed. The Korean version of the Visual Analog Scale (VAS) measure of pain, QDS and the previously validated Oswestry Disability Index (ODI) and Short Form-36 (SF-36) were mailed to 100 consecutive patients with chronic low back pain of at least 3 months duration. Eighty patients responded to the first mailing of questionnaires and 59 of the first time responder returned their second survey. The average age of the 59 patients (39 female, 20 male) was 48.0 years. Reliability assessment was determined by estimating κ statistics of agreement for each item, the intraclass correlation coefficient (ICC) and the Cronbach α. Concurrent and construct validity was evaluated by comparing the responses of QDS with the results of VAS and responses of ODI and SF-36 by using the Pearson correlation coefficient.
Results: The constructed Bland Altman plot showed a good reliability. All items had a κ statistics of agreement > 0.6. The QDS showed excellent test/retest reliability as evidenced by the high ICC for both assessments (ICC = 0.9094; P < 0.001). Internal consistency was found to be very good at both assessments with the Cronbach α (0.9172 and 0.9319 at first and second assessments, respectively). The QDS was correlated with the VAS (r = 0.647; P < 0.001 and r = 0.609; P < 0.001 at first and second assessments, respectively) and with the ODI (r = 0.718; P < 0.001 and r = 0.690; P < 0.001, respectively). The Korean version of the QDS showed a good significant correlation with functional scales of SF-36.
Conclusions: The adapted Korean version of the QDS was successfully translated and showed acceptable measurement properties, and as such, is considered suitable for outcome assessments in the Korean-speaking patients with low back pain.
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http://dx.doi.org/10.1097/BSD.0b013e3182337792 | DOI Listing |
Am J Cardiovasc Drugs
January 2025
Division of Cardiology, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea.
Background: Amiodarone is an effective anti-arrhythmic drug; however, it is frequently associated with thyroid dysfunction. The aim of this study was to investigate the incidence and risk factor of amiodarone-induced dysfunction in an iodine-sufficient area.
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J Neurosurg
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4Department of Neurosurgery, Korea University Anam Hospital, Seoul, Republic of Korea.
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View Article and Find Full Text PDFChin J Integr Med
January 2025
Department of Oriental Neuropsychiatry, Dong-Eui University College of Korean Medicine, Busan, Republic of Korea.
Objective: Traditional medicine (TM) has played a key role in the health care system of East Asian countries, including China, Japan and South Korea. This bibliometric study analyzes the recent research status of these three TMs, including traditional Chinese medicine (TCM), traditional Korean medicine (TKM), and Kampo medicine (KM).
Methods: Research topics of studies published for recent 10 years (2014 to 2023), through a search on MEDLINE via PubMed, was analyzed.
Neuropsychopharmacol Rep
March 2025
National Center of Neurology and Psychiatry, National Institute of Mental Health, Kodaira, Tokyo, Japan.
Aim: The Internet Gaming Disorder Scale is a 9-item screening instrument developed based on the diagnostic criteria for Internet Gaming Disorder (IGD) in the DSM-5. This study aimed to examine the reliability and validity of the Internet Gaming Disorder Scale for children (IGDS-C) in Japanese clinical and nonclinical populations.
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Biomed Eng Lett
January 2025
Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Unlabelled: A weight-bearing lateral radiograph (WBLR) of the foot is a gold standard for diagnosing adult-acquired flatfoot deformity. However, it is difficult to measure the major axis of bones in WBLR without using auxiliary lines. Herein, we develop semantic segmentation with a deep learning model (DLm) on the WBLR of the foot for enhanced diagnosis of pes planus and pes cavus.
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