Background: Prescription medication usage has been used as a predictor of disease prevalence and overall health status. Evidence suggests an inverse relationship exists between polypharmacy, which is the use of 5 or more medications, and physical activity participation. However, there is limited evidence examining the relationship between sedentary time and polypharmacy in adults. The aim of this study was to examine the associations between sedentary time and polypharmacy in a large nationally representative sample of US adults.
Methods: Study sample (N = 2879) included nonpregnant adult (≥20 y old) participants from the 2017-2018 National Health and Nutrition Examination Survey. Self-reported minutes per day of sedentary time were converted to hours per day. The dependent variable was polypharmacy (≥5 medications).
Results: Analysis revealed that for every hour of sedentary time, there was 4% greater odds of polypharmacy (odds ratio, 1.04; 95% confidence interval, 1.00-1.07, P = .04) after adjusting for age, race/ethnicity, education, waist circumference, and the interaction term between race/ethnicity and education.
Conclusion: Our findings suggest increased sedentary time is associated with an increased risk of polypharmacy among a large nationally representative sample of US adults.
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http://dx.doi.org/10.1123/jpah.2023-0022 | DOI Listing |
Front Sports Act Living
January 2025
Department of Sport and Health, School of Health and Human Development, University of Evora, Évora, Portugal.
Background: This study aims to investigate the effects of a multimodal program using augmented reality on the functional fitness and physical activity of older adults living in the community.
Method: Seventy-eight older adults living in the community participated in this study. Participants were divided into three groups: a control group that maintained their usual activities, and two experimental groups, one with multimodal training (EG1) and the other with multimodal training combined with augmented reality (EG2).
Front Public Health
January 2025
Department of Movement and Training Science, University of Wuppertal, Wuppertal, Germany.
Introduction: This study investigated potential health status differences among forging, manufacturing, and logistics workers.
Methods: We included 403 participants (age: 41 ± 12 years) from a medium-sized steel company (forge: 64, manufacturing: 299, logistics: 99). Health status was multifactorial assessed: (1) Frequency of musculoskeletal complaints (German Pain Questionnaire).
Front Nutr
January 2025
Department of Women Healthcare, Hangzhou Women's Hospital, Hangzhou Maternity and Child Health Care Hospital, Hangzhou, China.
Aim: The study aimed to explore the moderating role of the alternate Mediterranean diet (aMED) adherence on the association between sedentary behavior and insomnia symptoms in postmenopausal women.
Methods: Data regarding postmenopausal women were obtained for this cross-sectional study from the National Health and Nutrition Examination Survey (NHANES) 2005-2008. Sedentary behavior and insomnia symptoms were assessed using the questionnaire.
Dig Liver Dis
January 2025
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, PR China; Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, PR China; Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, 200032, PR China; Yiwu Research Institute, Fudan University, Yiwu, PR China. Electronic address:
Background: Steatotic liver disease (SLD) is influenced by both genetics and lifestyle factors, with lifestyle effects varying by genetic susceptibility. We aimed to evaluate gene-lifestyle interactions on SLD risk.
Methods: We included 28,215 UK Biobank participants with available data.
J Phys Act Health
January 2025
School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada.
Background: Interorganization partnerships are important for the development and knowledge mobilization of national health behavior guidelines. However, little is known about how to improve the dissemination of guidelines across professional networks. Social network analysis may offer unique insight into the social structure of interorganization networks and provide guidance for how network features may be harnessed for effective dissemination.
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