Introduction: Greater than 40% of women are obese, a key risk factor for cardiometabolic, neurocognitive disease, mood disorders, and certain cancers. Obesity and unfavorable body composition can compromise physical and psychological health and well-being. Preliminary evidence demonstrates Meditative Movement (i.e., Tai Chi Easy) improves health outcomes and body composition among midlife/older women. This single-group pilot study explored relationships between well-being predictors related to body composition and associated behavioral risk factors in midlife/older women pre-to-post Tai Chi Easy intervention.
Methods: Eligible women 45-75 years old, participated in once-weekly 30-minute Tai Chi Easy classes over 8-weeks. Pre/post-intervention data included self-report surveys and on-site body composition. Multivariate linear regression models were fitted with putative predictor variables having correlations -values of 0.20 or less with sleep quality and eating behaviors.
Results: Participants ( = 36) ( age = 53.7) were White (80.4%) and attended ≥ 4 years of college (70.6%). Analyses resulted in one independent variable per model as a predictor of the dependent variables of sleep quality and emotional eating. Results indicated: (1) stress explained 13.4% sleep quality variance ( (2, 20) = 2.71, = 0.09) and (2) self-compassion explained 42.1% emotional eating variance ( (2, 31) = 12.54, < .01).
Conclusion: Findings suggest stress and self-compassion partially explain variance in the dependent variables of sleep quality and emotional eating, both associated behavioral risk factors of body composition. Additional research may guide interventions to test efficacy and examine mediators to improve well-being predictors, body composition, and associated behavioral risk factors among midlife/older women.
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http://dx.doi.org/10.1017/cts.2023.621 | DOI Listing |
Physiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
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January 2025
Associate Professor, Department of Radiology, The Ohio State University Wexner Medical Center, Room 460, 395 W 12th Ave, Columbus, OH 43210.
J Surg Oncol
January 2025
Department of Upper GI and General Surgery, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Background: The Pre-EMPT study aimed to determine if structured exercise could reduce length of stay, post-operative complications and improve fitness and health-related quality of life (HQRL) in patients undergoing neoadjuvant chemotherapy (NAC) and oesophagectomy.
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Food Funct
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Lianshui People's Hospital Affiliated to Kangda College of Nanjing Medical University, Huai'an, Jiangsu, 223400, China.
: Non-alcoholic fatty liver disease (NAFLD) has become a growing public health problem worldwide, and dietary interventions have important potential in the prevention and treatment of NAFLD. Moreover, previous animal studies have shown that flaxseed has a good improvement effect in animal NAFLD models. : Assess whether flaxseed powder could improve the liver lipid content in patients with NAFLD.
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College of Animal Science and Technology, Yangtze University, Jingzhou 434023, China.
Ricefield eel is an important economic fish in China. However, large-scale intensive breeding has increased the incidence of diseases in eels. In this study, we conducted an 8-week feeding trial to investigate the effects of -glucan on the growth performance, intestinal health, and resistance of ().
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