Some individuals with prediabetes or type 2 diabetes mellitus (T2DM) who engage in exercise will not experience the anticipated improvements in glycemic control, referred to as non-responders. Increasing exercise intensity may improve the proportion of individuals who become responders. The objectives were to () identify responders and non-responders based on changes in glycated hemoglobin (HbA1c) in individuals with prediabetes or T2DM following 16 weeks of aerobic exercise; () investigate if increasing exercise intensity enhances the responders' status for individuals not previously responding favourably to the intervention. Participants ( 40; age = 58.0 years (52.0-66.0); HbA1c = 7.0% (6.0-7.2)) engaged in a two-phase, randomized study design. During phase one, participants performed 16 weeks of treadmill-based, supervised, aerobic exercise at 4.5 metabolic equivalents (METs) for 150 min per week. Thereafter, participants were categorized as responders, non-responders, or unclear based on the 90% confidence interval above, below, or crossing a 0.3% reduction in HbA1c. For phase two, participants were randomized to a maintained intensity (4.5 METs) or increased intensity (6.0 METs) group for 12 weeks. Following phase one, two (4.1%) participants were categorized as responders, four (8.2%) as non-responders, and 43 (87.7%) as unclear. Following phase two, two from the increased intensity group and one from the maintained intensity group experienced an improvement in response categorization. There were no significant between or within group (maintained vs. increased) differences in HbA1c. For most people with prediabetes or T2DM, increasing exercise intensity by 1.5 METs does not improve response categorization.
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http://dx.doi.org/10.1139/apnm-2023-0495 | DOI Listing |
Obes Rev
January 2025
Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA.
The purpose of this study was to calculate the effects of recent eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. In the search, 3550 articles were identified, and 15 studies met all inclusion criteria.
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Orthopedic Surgery Department, Germans Trias i Pujol University Hospital, 08916 Badalona, Spain.
: Chronic pain affects about 20% of total knee arthroplasty (TKA) patients, with high pain catastrophizing being a key predictor. Screening and addressing this modifiable factor may improve postoperative outcomes. : We aimed to compare the effectiveness of two preoperative home-based multimodal physical therapy interventions on pain catastrophizing in high-catastrophizing TKA patients.
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December 2024
Department of Physiotherapy, Wroclaw University of Health and Sport Sciences, 51-612 Wroclaw, Poland.
Haematological malignancies and their treatment regimens often lead to various complications that impair patients' physical functioning. This study aimed to assess the level of physical activity and exercise capacity in patients with haematological malignancies who were qualified for haematopoietic stem cell transplantation (HSCT). A prospective, single-centre study was conducted on patients with haematological malignancies qualified for HSCT (study group, = 103) and a cohort of healthy volunteers (reference group, = 100).
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December 2024
Unitat de Suport a la Recerca Terres de l'Ebre, Fundació Institut Universitari per a la Recerca al'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 43500 Tortosa, Spain.
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December 2024
College of Healthcare Sciences, Nova Southeastern University, Fort Lauderdale, FL 33328, USA.
The purpose was to create a systematic approach for analyzing data to improve predictive models for fatigue and neuromuscular performance in volleyball, with potential applications in other sports. The study aimed to assess whether average, peak, or peak-to-average ratios of countermovement jump (CMJ) force plate metrics exhibit stronger correlations and determine which metric most effectively predicts performance. Data were obtained from nine division I female volleyball athletes over a season, recording daily jump loads (total jumps, jump counts >38.
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