Purpose: To examine the effectiveness and adherence to a self-determination theory (SDT)-based self-myofascial release (SMR) program in older adults with myofascial trigger points (MTrPs), and to investigate the factors that influence participant behavioral change while conducting the program in a home setting.
Methods: An explanatory mixed-method design was used to evaluate a 12-week SDT-based SMR program, including a 4-week group-based education and practice (EP) phase and an 8-week home-based self-management (SM) phase. Pain intensity on palpation and sensitivity to pain were assessed at baseline and the post EP and post SM phase. Focus group interviews were conducted at the post SM phase.
Findings: Fifteen participants completed the study. Pain intensity and sensitivity to pain significantly improved at the post SM phase compared with the baseline. Adherence increased during the SM phase compared with that during the EP phase. Four main themes emerged as factors that influenced participant behavioral change: 1) "awareness of the effectiveness"; 2) "a sense of duty to perform the exercise"; 3) "obedience to expert instruction"; and 4) "lack of friendship."
Conclusions: These results support the effectiveness of an SDT-based SMR program for the treatment of MTrPs and in motivating older adults to participate in the program.
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http://dx.doi.org/10.1080/09593985.2017.1345024 | DOI Listing |
J Med Internet Res
January 2025
Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.
Background: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Background: Black adults in the United States experience disproportionately high rates of tobacco- and obesity-related diseases, driven in part by disparities in smoking cessation and physical activity. Smartphone-based interventions with financial incentives offer a scalable solution to address these health disparities.
Objective: This study aims to assess the feasibility and preliminary efficacy of a mobile health intervention that provides financial incentives for smoking cessation and physical activity among Black adults.
Telemed J E Health
January 2025
Medical Department, Medical Sciences and Life School, Pontifical Catholic University of Goiás, Goiânia, Brazil.
Atrial fibrillation (AF) burden is strongly associated with an increased risk of stroke, which, in most cases, can be prevented through earlier detection of AF and the timely initiation of anticoagulation therapy. Smartphone devices can provide a simple, non-invasive, cost-effective early AF detection solution. PubMed, Embase, and Scopus databases were searched for studies comparing smartphone-based photoplethysmography (PPG) with standard electrocardiogram for AF detection.
View Article and Find Full Text PDFBlood Adv
February 2025
Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Little is known about the impact of recent advances in acute myeloid leukemia (AML) treatment on racial/ethnic disparities in survival outcomes. We performed a retrospective cohort study of patients with newly diagnosed AML using data from a nationwide electronic health record-derived deidentified database. Patients were categorized based on their diagnosis date relative to venetoclax approval, as pre-novel therapy era (Pre era; 2014-2018; n = 2998) or post-novel therapy era (Post era; 2019-2022; n = 2098).
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Global Health, Boston University School of Public Health, Boston, Massachusetts.
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