Background: The presence of multimorbidity increases the risk of mortality, and identifying correlates of multimorbidity can direct interventions by targeting specific modifiable correlates. Here we aimed to investigate the association between two types of screen-based behaviors and multimorbidity.
Methods: We used data from 87,678 Brazilian adults from the National Health Survey (2019). Multimorbidity (presence of two or more chronic conditions among 12 possibilities), TV-viewing, and time on other types of screens (computer, tablet, or cell phone), were self-reported. Crude and adjusted binary and multinominal logistic regression models were performed stratified by sex, age group, and the number of chronic conditions.
Results: Considering adjusted values, 2 h/day as a reference, and reporting values in odds ratio (OR) and prevalence ratio (PR) with 95% confidence intervals (95%CI), multimorbidity presented associations with TV-viewing in general [from OR (95%CI) 1.10 (1.03-1.18) in 2 to < 3 h/d, to OR (95%CI) 1.57 (1.40-1.76) in ≥ 6 h/d], except in 2 to < 3 h/d time category for male and 35 to 49 years, and all time categories for 18 to 34 years. In addition, TV-viewing was associated with an increasing number of chronic conditions, all greater in ≥ 6 h/d [2 conditions - PR (95%CI) 1.24 (1.08-1.43); 3 conditions - PR (95%CI) 1.74 (1.45-2.08); 4 or more conditions - PR (95%CI) 2.29 (1.93-2.73)], except in 2 conditions on 2 to < 3 h/d. Other types of screen-based behaviors were only associated with multimorbidity among males [≥ 6 h/d: OR (95%CI) 1.22 (1.01-1.48)] and older individuals (65 years) in some time categories [3 to < 6 h/d: OR (95%CI) 1.98 (1.42-2.77) and ≥ 6 h/d: OR (95%CI) 1.73 (1.06-2.84)].
Conclusion: Intervention strategies for reducing screen time in Brazilian adults should focus mainly on TV-viewing, which seems to be associated with more harmful conditions than time on other types of screen-based behaviors.
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http://dx.doi.org/10.1186/s12889-022-14365-5 | DOI Listing |
China CDC Wkly
January 2025
Key Laboratory of Public Nutrition and Health, National Health Commission of the People's Republic of China; National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
What Is Already Known About This Topic?: The prevalence of insufficient physical activity (PA) among Chinese adults has shown an upward trend, reaching 22.3% in 2018. Leisure time PA (LTPA) constitutes a minimal proportion of total physical activity patterns.
View Article and Find Full Text PDFPhysiol Behav
December 2024
Department of Physical Education, Shanghai Jiao Tong University, Shanghai, China. Electronic address:
Objective: This study aimed to examine the associations of different types and duration with sedentary behaviors and depressive symptoms among college students.
Methods: A cross-sectional study was conducted at a university in Shanghai, China, utilizing convenience sampling to recruit 3,190 participants (mean age 20.06 ± 1.
Scand J Public Health
December 2024
Department of Health Promotion and Development, Faculty of Psychology, The University of Bergen, Norway.
Aim: A worry regarding young people's physical activity engagement relates to a potentially competing development: the role of screen-based media (SBM) in their everyday lives. The present study aimed to assess time spent on different types of SBM, self-reported moderate-to-vigorous physical activity (MVPA) and physical activity in different domains and their interrelations.
Methods: The study is based on data from 3737 participants aged 11, 13 and 15 years from Norway collected in 2021/2022 as part of the Health Behaviour in School-aged Children collaborative cross-national survey.
Sci Rep
December 2024
Department of Clinical and Health Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010, Vienna, Austria.
Can Med Educ J
November 2024
Steinberg Centre for Simulation and Interactive Learning, McGill University, Quebec, Canada.
Background: Extended reality technology (XR) in simulation-based medical education is becoming more prevalent. This study examined Canadian simulation centre directors' perceptions toward XR and their self-reported adoption of XR within their centres.
Methods: We conducted a national, cross-sectional survey study to examine five kinds of XR: Immersive Virtual Environments, Screen-based Virtual Worlds, Virtual Simulators, Immersive Augmented Reality, and Non-immersive Augmented Reality.
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