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The Utilization of Complementary and Alternative Medicine among Adults in Al Qassim Region, Saudi Arabia: A Cross-Sectional Study
Abstract
Introduction
Complementary and alternative medicine (CAM) encompasses all forms of therapies that fall outside the mainstream of medical practice. This study estimated the prevalence, pattern, and factors associated with the use of CAM, as well as perceptions toward CAM practices.
Methods
A cross-sectional study was conducted among the adult residents of the Al Qassim region, Saudi Arabia. Data was collected using a self-administered questionnaire. Descriptive statistics were computed, and p-values were calculated for associations between CAM use and various independent demographic factors. Multivariable logistic regression analysis was used to determine the factors that predict CAM use.
Results
The total number of adults interviewed was 861, 86.4% of whom reported using CAM. The types of CAM varied in their popularity of use. The most common were Quran recitation (57%), Prayer (53%), Honey and Bee products (53%), Myrrh (50%), Medicinal Herbs mix (43%), and Zamzam water (42%). The most frequent reasons for CAM use were acute respiratory disorders (60%), abdominal pain (38%), and immune system support (34%). Recommendations by relatives and friends were reported as the main reason for CAM use (35.8%). Age (40-59 years) was significantly associated with higher CAM use (p<0.05). However, the use of conventional medicines within the last 12 months and the monthly income of 5.000-10.000 SR were significantly associated with a decrease in the rate of CAM use. Females who are married, not currently employed, and living comfortably on their monthly income (>10,000 SR) may be more likely to experience greater satisfaction with their CAM therapies (p<0.001).
Conclusion
There is a high prevalence of CAM use in the Al Qassim region, and the most important predictor favoring CAM use was age. More research is needed to understand the mechanisms of CAM and identify the most effective therapies for different health conditions for informed decision-making.