Effects of Laughter Yoga on Patients Receiving Hemodialysis: A Systematic Review.
Ting LiKim Lam SohNor Fadhlina ZakariaYuanyue PangPengpeng WangNiaona HuPublished in: Holistic nursing practice (2024)
When it comes to end-stage renal disease patients, hemodialysing is one of the most critical treatments they can receive. Even if they received hemodialysis (HD) treatment regularly, patients would experience many complications such as cardiovascular disease, fatigue, anxiety, depression, sleep disturbances, and a declining quality of life. Laughter Yoga has been reported to have many positive effects on patients with chronic illnesses. By removing or reducing stress, Laughter Yoga (LY) helps to improve patients' quality of life, Thus, they have a longer chance of survival. However, the effect of Laughter Yoga on HD patients is generally inconclusive. Objective is to evaluate LY's impact on HD patients. We searched electronic databases that included Web of Science, Embase, PubMed, the Cochrane Library, Wanfang, China National Knowledge Infrastructure, and clinical trial registries. The search period was from their inception to January 29, 2023. The search keywords included laughter therapy, laughter yoga, laugh, hemodialysis, dialysis, and renal dialysis. The systematic review included both randomized controlled trials (RCTs) and quasi-experiments studies. Three RCTs and three non-RCTs met the inclusion criteria. Laughter Yoga showed patients having improvement in several outcomes such as life quality, pain severity, sleep quality, subjective well-being, mood, depression, blood pressure, and vital capacity. A well-designed RCT will be developed to further test the potential benefits of LY for HD patients.
Keyphrases
- end stage renal disease
- chronic kidney disease
- peritoneal dialysis
- newly diagnosed
- blood pressure
- cardiovascular disease
- sleep quality
- clinical trial
- ejection fraction
- randomized controlled trial
- type diabetes
- healthcare
- prognostic factors
- depressive symptoms
- metabolic syndrome
- risk factors
- machine learning
- patient reported
- risk assessment
- spinal cord
- bipolar disorder
- deep learning
- quality improvement
- chronic pain
- big data
- meta analyses
- hypertensive patients
- human health
- blood glucose
- coronary artery disease