Background: Current technology has the ability to distract and evade its users, this resulting in an addiction or "escape" from the real world. The excessive use of smartphones can cause a decrease in physical activity (PA) for many people prefer to use these devices rather than do the recommended physical exercise.
Objective: The objective of this paper is to analyze the possible relation between the use of smartphones and the reduction in the practice of PA that is reflected in scientific articles.
Methods: The PRISMA statement has been followed for systematic reviews and meta-analyses in order to achieve a correct organization and integrity of the work. Our search for bibliography has been carried out in the WOS and Scopus databases, together with the research domains "Social Sciences Other Topics," "Education Educational Research," and "Sport Sciences." After applying the inclusion criteria, a total of 14 articles were obtained, these forming the base body of this research.
Results: Nine of the fourteen articles show that there is a negative relationship between the smartphone and PA practice. The age groups most studied in relation to this topic range from 13 to 18 and from 19 to 25.
Conclusion: It is our conclusion that the inappropriate use of these mobile devices is associated with low levels of motivation and practice of PA in their users. Similarly, we have emphasized the lack of scientific work dealing with this issue.
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http://dx.doi.org/10.3389/fpsyg.2019.01307 | DOI Listing |
Chronobiol Int
January 2025
Institute of Biology/Zoology, Martin Luther University, Halle-Wittenberg, Germany.
Seven-day actigraphy was performed within 1 month in 122 community-dwelling adults (mean age 24.40 y, 31 (25.4%) men) in the same city of Tyumen, Russia.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The iAide2 (Tokai) physical activity monitoring system includes diverse measurements and wireless features useful to researchers. The iAide2's sleep measurement capabilities have not been compared to validated sleep measurement standards in any published work.
Objective: We aimed to assess the iAide2's sleep duration and total sleep time (TST) measurement performance and perform calibration if needed.
Angew Chem Int Ed Engl
January 2025
Shanghai Advanced Research Institute Chinese Academy of Sciences: Chinese Academy of Sciences Shanghai Advanced Research Institute, Low-Carbon Conversion Science and Engineering Cente, 100 Haike Road, 201203, Shanghai, CHINA.
Renewable energy-driven electrochemical CO2 reduction has emerged as a promising technology for a sustainable future. However, achieving efficient production of storable liquid fuels at ampere-level current densities remains a significant hurdle in the large-scale implementation of CO2 electroreduction. Here we report a novel catalytic electrode comprising chlorine-doped SnO2 nanoflowers arrayed on the exterior of three-dimensional nickel hollow fibers.
View Article and Find Full Text PDFChild Obes
January 2025
School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.
Family child care (FCC) offers a promising setting for obesity prevention, yet interventions have had varied success, potentially due to insufficient stakeholder input. This study aimed to explore barriers, facilitators, and preferences for healthy eating and physical activity interventions among Australian FCC educators and organization staff. Semi-structured interviews were conducted with 15 FCC educators and 6 staff members, using the framework method for data analysis.
View Article and Find Full Text PDFChild Obes
January 2025
Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.
It is unknown if children and youth who live in rural or "less rural" locations who enroll in the provincially funded Generation Health Clinic (British Columbia, Canada), a family-based lifestyle program for weight management, present with different health behaviors at baseline. Thus, we assessed sociodemographic and health behavior (diet, physical activity, and sleep) collected between 2015 and 2019. Data were stratified by age (children: ≤12 years; adolescents: ≥13 years) and geographical location ("less urban" and urban) based on Statistics Canada definitions and then analyzed using independent -tests and chisquare tests.
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