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- Title
Validity and Reliability of the Persian Version of the St. George Respiratory Questionnaire for COPD.
- Authors
Mehrabi, Samrad; Salehi, Alireza; Vardanjani, Hossein Molavi; Kooshki, Ali; Mehrabi, Fereshteh
- Abstract
Background & Objective: Chronic obstructive pulmonary disease (COPD) is a common disease that causes 6% of deaths, 90% of which occur in low- and middle)income countries. Improving these patients' quality of life (QOL) is one of the primary treatment goals. The St. George's Respiratory Questionnaire (SGRQ) is used to measure the health status of patients with respiratory problems. This research aimed to assess the health status of patients with COPD after validating the Persian version of this questionnaire. Materials & Methods: The study was performed from Feb to Oct 2016 in Shiraz, Iran. First, the Persian version of the questionnaire was validated using a back)translation technique by two translators, supervised by two researchers, and finally approved by two pulmonologists. The test-retest method was used to investigate the questionnaire's reliability. The questionnaire was used to assess the health status of 158 COPD patients with FEV1/FVC ratio≤ 0.7 or FEV1<80%, without exacerbation, cardiac disease, or recent hospitalization. Results: The reliabilities of the first part (questions 1-7) and second part (questions 8-14) of the questionnaire was 0.64 and 0.90, respectively. The current health was good, fair, poor, and very poor in 7.6%, 22.2%, 44.9%, 22.8%, and 2.5% of the patients, respectively. The mean± standard deviation (SD) scores calculated for symptoms, activity, and impact were 54.216±23.725, 41.477±24.996, and 37.482±26.390, and the total score was 133.176±69.284. Conclusion: The Persian version of the SGRQ-C was valid and reliable. The patients with COPD at our center had a good health status.
- Subjects
IRAN; STATISTICS; RESEARCH evaluation; STATISTICAL reliability; HEALTH status indicators; CRONBACH'S alpha; OBSTRUCTIVE lung diseases; QUESTIONNAIRES; QUALITY of life; DESCRIPTIVE statistics; RESEARCH funding; DATA analysis; DATA analysis software
- Publication
Journal of Advances in Medical & Biomedical Research, 2023, Vol 31, Issue 144, p93
- ISSN
2676-6264
- Publication type
Article
- DOI
10.30699/jambs.31.144.93