The crosstalk between subjective fibromyalgia, mental health symptoms and the use of over-the-counter analgesics in female Syrian refugees: a cross-sectional web-based study.
Omar Salem GammohAlaa A A AljabaliMurtaza M TambuwalaPublished in: Rheumatology international (2024)
Suboptimal fibromyalgia management with over-the-counter analgesics leads to deteriorated outcomes for pain and mental health symptoms especially in low-income countries hosting refugees. To examine the association between the over-the-counter analgesics and the severity of fibromyalgia, depression, anxiety and PTSD symptoms in a cohort of Syrian refugees. This is a cross-sectional study. Fibromyalgia was assessed using the patient self-report survey for the assessment of fibromyalgia. Depression was measured using the Patient Health Questionnaire-9, insomnia severity was measured using the insomnia severity index (ISI-A), and PTSD was assessed using the Davidson trauma scale (DTS)-DSM-IV. Data were analyzed from 291. Among them, 221 (75.9%) reported using acetaminophen, 79 (27.1%) reported using non-steroidal anti-inflammatory drugs (NSAIDs), and 56 (19.2%) reported receiving a prescription for centrally acting medications (CAMs). Fibromyalgia screening was significantly associated with using NSAIDs (OR 3.03, 95% CI 1.58-5.80, p = 0.001). Severe depression was significantly associated with using NSAIDs (OR 2.07, 95% CI 2.18-3.81, p = 0.02) and CAMs (OR 2.74, 95% CI 1.30-5.76, p = 0.008). Severe insomnia was significantly associated with the use of CAMs (OR 3.90, 95% CI 2.04-5.61, p < 0.001). PTSD symptoms were associated with the use of CAMs (β = 8.99, p = 0.001) and NSAIDs (β = 10.39, p < 0.001). Improper analgesics are associated with poor fibromyalgia and mental health outcomes, prompt awareness efforts are required to address this challenge for the refugees and health care providers.
Keyphrases
- sleep quality
- anti inflammatory drugs
- mental health
- depressive symptoms
- healthcare
- physical activity
- public health
- postoperative pain
- posttraumatic stress disorder
- electronic health record
- case report
- machine learning
- early onset
- mental illness
- cross sectional
- spinal cord injury
- adipose tissue
- skeletal muscle
- health information
- big data
- deep learning
- human health
- psychometric properties
- patient reported
- artificial intelligence