Purpose: To determine the impact of applied progressive muscle relaxation training on health related quality of life among prostate cancer patients.
Method: A quasi-experimental study was conducted at the University Malaya Medical Centre (UMMC) and Universiti Kebangsaan Malaysia Medical Centre (UKMMC) over six months. Patients from UMMC received the intervention and patients from UKMMC as a comparison group. The general health related quality of life was measured using Short Form-36 (SF-36).
Results: A total of 77 patients from the intervention group and 78 patients from the comparison group participated in the study. At the end of the study, only 90.9% in intervention group and 87.2% in comparison group completed the study. There were significant differences between intervention and comparison groups for mental component summary (MCS) (p=0.032) and overall health related quality of life (p=0.042) scores. However, there was no significant difference between groups for physical component summary (PCS) (p=0.965).
Conclusion: The improvement in MCS and overall QOL showed the potential of APMRT in the management of prostate cancer patients. Future studies should be carried out over a longer duration to provide stronger evidence for the introduction of relaxation therapy among prostate cancer patients as a coping strategy to improve their QOL.
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http://dx.doi.org/10.1016/j.ypmed.2013.02.011 | DOI Listing |
Phys Ther
January 2025
IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.
Importance: Rotator cuff tendinopathy represents the most prevalent cause of shoulder pain, the third most common musculoskeletal disorder after low back pain and knee pain.
Objective: The objective of this study was to determine the effectiveness of corticosteroid injection(s), alone or in combination with anesthetic injection or any other physical therapist interventions, compared to physical therapist interventions alone in adults with rotator cuff tendinopathy.
Design: This study was a systematic review and meta-analysis of randomized controlled trials.
JAMA Netw Open
January 2025
Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Importance: Secondary lymphedema is a common, harmful side effect of breast cancer treatment. Robust risk models that are externally validated are needed to facilitate clinical translation. A published risk model used 5 accessible clinical factors to predict the development of breast cancer-related lymphedema; this model included a patient's mammographic breast density as a novel predictive factor.
View Article and Find Full Text PDFJ Air Waste Manag Assoc
January 2025
School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, China.
Dust emissions from open-pit mining pose a significant threat to environmental safety and human health. Currently, the range of dust suppressants used in coal mining is limited, often failing to account for their suitability across various stockpiles. This oversight results in poor infiltration after application, leading to insufficient crust formation and reduced durability.
View Article and Find Full Text PDFArch Pathol Lab Med
January 2025
the Department of Pathology, The Ohio State University, Columbus (Parwani).
Context.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Objective.
Health Econ Rev
January 2025
Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Background: In their interesting systematic review, Gallehzan et al. quoted our article Cost-utility analysis of teriflunomide in naïve vs. previously treated patients with relapsing-remitting multiple sclerosis (RRMS) in Italy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!