Purpose: This article reports on the presentations and discussion from the working group on "Influences on Sedentary Behavior and Interventions To Reduce Sedentary Behavior" as part of the Sedentary Behavior: Identifying Research Priorities workshop.
Methods: Interventions were discussed in the context of targeting sedentary behavior (SB) as a concept distinct from physical activity. It was recommended that interventions targeting SB should consider a life course perspective, a position predicated on the assumption that SB is age and life stage dependent. In addition, targeting environments where individuals have high exposure to SB--such as workplace sitting--could benefit from new technology (e.g., computer-based prompting to stand or move), environmental changes (e.g., active workstations), policies targeting reduced sedentary time (e.g., allowing employees regular desk breaks), or by changing norms surrounding prolonged sitting (e.g., standing meetings).
Results And Conclusions: There are limited data about the minimal amount of SB change required to produce meaningful health benefits. In addition to developing relevant scientific and public health definitions of SB, it is important to further delineate the scope of health and quality-of-life outcomes associated with reduced SB across the life course and to clarify what behavioral alternatives to SB can be used to optimize health gains. SB interventions will benefit from having more clarity about the potential physiological and behavioral synergies with current physical activity recommendations, developing multilevel interventions aimed at reducing SB across all life phases and contexts, harnessing relevant and effective strategies to extend the reach of interventions to all sectors of society, as well as applying state-of-the-science adaptive designs and methods to accelerate advances in the science of SB interventions.
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http://dx.doi.org/10.1249/MSS.0000000000000519 | DOI Listing |
Front Sports Act Living
January 2025
Department of Public Health and Sport Sciences, University of Inland Norway, Elverum, Norway.
Introduction: Physical inactivity is a global health challenge, exacerbated by increased screen time and sedentary behaviors. Enhancing physical activity levels at schools offers a promising approach to promote lifelong healthy habits.
Methods: This protocol paper outlines the MOVE12 pilot study, a 12-week intervention study designed to increase physical activity among Norwegian upper secondary school students through 6-7-min daily MOVE-breaks integrated into lessons.
Front Public Health
January 2025
Department of Nursing, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Introduction: Osteoarthritis (OA) is a prevalent and debilitating disorder that affects the joints and has a complex array of causes. While sedentary behavior (SB) and physical activity (PA) have been implicated in OA risk, the relationship between these factors and OA development remains unclear. This study investigates the correlation and potential causality between SB, PA, and OA using both cross-sectional and Mendelian randomization (MR) analysis.
View Article and Find Full Text PDFBMC Womens Health
January 2025
Department of Physiotherapy, University of Valencia, Valencia, 46010, Spain.
Background: This study aimed to investigate the relationship of psychological empowerment and enjoyment of physical activity with changes in physical activity levels, sleep quality, and muscular endurance following a high-intensity interval training (HIIT) program in physically inactive young women.
Methods: A total of 61 physically inactive young women (age: 20.1 ± 2.
BMC Geriatr
January 2025
Department of Health Economics, School of Public Health, Fudan University, 130 Dong'an Road, Shanghai, 200032, China.
Background: Multimorbidity has emerged as a significant challenge for healthcare systems globally. This study aims to examine the associations between key determinants of lifestyle behavior and various multimorbidity patterns.
Methods: In a cross-sectional sample of older adults (aged 60-79) from the Fifth National Physical Fitness Surveillance in Shanghai, latent class analysis (LCA) was used to identify multimorbidity patterns among 9 chronic diseases.
J Med Internet Res
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, United States.
Background: Digital gaming has become increasingly popular among older adults, potentially offering cognitive, social, and physical benefits. However, its broader impact on health and well-being, particularly in real-world settings, remains unclear.
Objective: This study aimed to evaluate the multidimensional effects of digital gaming on health and well-being among older adults, using data from the Japan Gerontological Evaluation Study conducted in Matsudo City, Chiba, Japan.
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