Objective: To evaluate the physical inactivity-related inpatient costs of chronic non-communicable diseases.
Methods: This study used data from 2013, from Brazilian Unified Health System, regarding inpatient numbers and costs due to malignant colon and breast neoplasms, cerebrovascular diseases, ischemic heart diseases, hypertension, diabetes, and osteoporosis. In order to calculate the share physical inactivity represents in that, the physical inactivity-related risks, which apply to each disease, were considered, and physical inactivity prevalence during leisure activities was obtained from Pesquisa Nacional por Amostra de Domicílio(Brazil's National Household Sample Survey). The analysis was stratified by genders and residing country regions of subjects who were 40 years or older. The physical inactivity-related hospitalization cost regarding each cause was multiplied by the respective share it regarded to.
Results: In 2013, 974,641 patients were admitted due to seven different causes in Brazil, which represented a high cost. South region was found to have the highest patient admission rate in most studied causes. The highest prevalences for physical inactivity were observed in North and Northeast regions. The highest inactivity-related share in men was found for osteoporosis in all regions (≈ 35.0%), whereas diabetes was found to have a higher share regarding inactivity in women (33.0% to 37.0% variation in the regions). Ischemic heart diseases accounted for the highest total costs that could be linked to physical inactivity in all regions and for both genders, being followed by cerebrovascular diseases. Approximately 15.0% of inpatient costs from Brazilian Unified Health System were connected to physical inactivity.
Conclusions: Physical inactivity significantly impacts the number of patient admissions due to the evaluated causes and through their resulting costs, with different genders and country regions representing different shares.
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http://dx.doi.org/10.1590/S0034-8910.2015049005650 | DOI Listing |
Nutrients
January 2025
School of Psychology, Western Sydney University, Sydney, NSW 2751, Australia.
: Television viewing has been linked with increased weight and obesity, likely through decreased physical activity associated with sitting and viewing television, as well as increased intake of food, likely through reduced awareness of eating and intake behaviours. This review sought to determine the effects of television viewing on energy intake relative to the absence of television. : We adhered to the PRISMA guidelines and pre-registered this review in PROSPERO (CRD42023493092).
View Article and Find Full Text PDFNutrients
December 2024
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA.
Biomarkers constitute a valuable tool to diagnose both the incidence and the prevalence of chronic diseases and may help to inform the design and effectiveness of precision nutrition interventions. Cardiovascular disease (CVD) continues to be the foremost cause of death all over the world. While the reasons that lead to increased risk for CVD are multifactorial, dyslipidemias, plasma concentrations of specific lipoproteins, and dynamic measures of lipoprotein function are strong biomarkers to predict and document coronary heart disease incidence.
View Article and Find Full Text PDFNutrients
December 2024
Departamento de Nutrição, Universidade Federal da Paraíba, João Pessoa 58051-900, Brazil.
Background/objectives: The study prospectively assessed the association between sleep duration and the consumption of ultra-processed foods in adolescent students from a Brazilian capital.
Methods: We observed 1431 adolescents participating in the Longitudinal Study on sedentary behavior, physical activity, dietary habits, and adolescent health, aged 10 to 14 years, in the years 2014 to 2017. The percentage of consumption of ultra-processed foods was evaluated by the Friedman test.
Scand J Med Sci Sports
January 2025
Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Physical inactivity and sedentary behavior are associated with higher risks of age-related morbidity and mortality. However, whether they causally contribute to accelerating biological aging has not been fully elucidated. Utilizing the largest available genome-wide association study (GWAS) summary data, we implemented a comprehensive analytical framework to investigate the associations between genetically predicted moderate-to-vigorous leisure-time physical activity (MVPA), leisure screen time (LST), and four epigenetic age acceleration (EAA) measures: HannumAgeAccel, intrinsic HorvathAgeAccel, PhenoAgeAccel, and GrimAgeAccel.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
University Centre for Rural Health, School of Health Sciences, University of Sydney, Lismore, New South Wales, Australia.
Importance: An unhealthy lifestyle is believed to increase the development and persistence of low back pain, but there is uncertainty about whether integrating support for lifestyle risks in low back pain management improves patients' outcomes.
Objective: To assess the effectiveness of the Healthy Lifestyle Program (HeLP) compared with guideline-based care for low back pain disability.
Design, Setting, And Participants: This superiority, assessor-blinded randomized clinical trial was conducted in Australia from September 8, 2017, to December 30, 2020, among 346 participants who had activity-limiting chronic low back pain and at least 1 lifestyle risk (overweight, poor diet, physical inactivity, and/or smoking), referred from hospital, general practice, and community settings.
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