The Effect of Benson Relaxation Technique on Depression, Anxiety, and Stress of Jordanian Patients Diagnosed with Multiple Sclerosis: A Cross-Sectional Study.
Ahmad Rajeh SaifanMohannad Eid AburuzEnas A DhaherAbdallah RayyanMira Al JaberiRami Masa'DehPublished in: Depression research and treatment (2021)
Depression, anxiety, and stress (DAS) are common symptoms of multiple sclerosis (MS) patients and are highly correlated with poor quality of life. Managing DAS among such patients can improve their quality of life (QoL), empowering them with improved autonomy, self-care, independency, and ability to perform daily activities. This study is aimed at examining the effectiveness of the Benson Relaxation Technique (BRT) on reducing DAS among patients diagnosed with MS in Jordan. This quasiexperimental study of 105 Jordanian patients diagnosed with multiple sclerosis tested an intervention group (60 patients) who received BRT and a control group (45 patients) who received normal treatment. Data were collected from January 2021 to April 2021, using the Arabic version of the Depression Anxiety Stress Scale (DASS21). The intervention group was instructed to perform the BRT two times a day for 10 minutes at home for eight weeks at two specific times, with 7-8-hour intervals between each episode. STROBE guidelines were followed in reporting the review. At the baseline comparison, there was no statistical difference between the interventional and control groups with regard to DAS. The levels of DAS between the two groups after three months of the last sessions of the intervention (postintervention) were compared. The results showed that the intervention group had significantly lower levels of DAS compared to the control group. The levels of the DAS were significantly lower for the intervention group postintervention. Adding relaxation techniques to the therapeutic routine is a cost-effective complementary treatment to decrease DAS among MS patients and improve their QoL. Relevance to Practice. This study provides a baseline of data that could facilitate further investigations in the future to improve the quality of services delivered to such patients and thus their QoL and satisfaction.
Keyphrases
- multiple sclerosis
- end stage renal disease
- randomized controlled trial
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- healthcare
- prognostic factors
- rheumatoid arthritis
- machine learning
- depressive symptoms
- ms ms
- systematic review
- disease activity
- white matter
- sleep quality
- patient reported outcomes
- systemic lupus erythematosus
- artificial intelligence
- deep learning