Patterns of Complementary and Alternative Medicine Use in Saudi Arabian Patients With Inflammatory Bowel Disease: A Cross-Sectional Study
Autor: | Faris O Arif, Mahmoud Mosli, Yousif Qari, Albaraa M Altunisi, Omar I. Saadah, Mazen Banweer |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
chron's cam Cross-sectional study Disease 030204 cardiovascular system & hematology Logistic regression Inflammatory bowel disease 03 medical and health sciences 0302 clinical medicine inflammatory bowel disease Interquartile range Internal medicine Internal Medicine medicine Adverse effect ulcerative colitis business.industry Gastroenterology ibd General Engineering medicine.disease Quality Improvement Ulcerative colitis Cohort business 030217 neurology & neurosurgery complementary and alternative medicine |
Zdroj: | Cureus |
ISSN: | 2168-8184 |
DOI: | 10.7759/cureus.9687 |
Popis: | Background Inflammatory bowel disease (IBD) concerns a group of chronic autoimmune diseases that results in uncontrolled inflammation of the gastrointestinal (GI) tract, which can lead to long-term complications. Conventional treatments for IBD usually target inflammation and include biologics and immunosuppressants, which have been associated with significant adverse effects. Also, non-response to biologics has been reported in up to 50% of patients. Hence, patients sometimes turn to unconventional methods of treatment, such as complementary and alternative medicine (CAM). In this study, we examine patterns of CAM use in Saudi patients diagnosed with IBD. Materials and methods We conducted a cross-sectional study of patients with IBD who were seen at the outpatient gastroenterology clinic between January 2018 and December 2019. Adult patients diagnosed with ulcerative colitis (UC) or Crohn’s disease (CD) were identified and surveyed. Clinical, laboratory, endoscopic, radiologic, and histologic data were collected. The patients completed a detailed questionnaire focusing on CAM use. Descriptive statics, quantitative variables, means, standard deviations (SDs), and minimum and maximum values or medians with interquartile ranges were used where appropriate; for qualitative variables, we reported frequencies. The prevalence of CAM use was calculated using standard prevalence formulae. Logistic regression analysis was performed to identify predictors for CAM use. A p-value of |
Databáze: | OpenAIRE |
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