This study examined the relationship between socio-demographic factors, screen media time usage, and light, moderate and vigorous activities on weekdays and weekends. Cross-sectional data was collected from 323 Spanish adolescents (mean age 13.59 years) who completed an interview administered recall questionnaire. Structural equation models indicated that male and younger adolescents spent more time on vigorous activities at the weekend, while females and older adolescents showed a greater involvement in light activities both on weekdays and weekends. State school students reported engaging in light and vigorous activities for longer periods than private school students on weekends. TV viewing was negatively linked to vigorous activities during weekdays and to light and moderate activities on weekends. The amount of mobile phone usage, however, was positively linked to light activities during weekdays, but negatively on weekends. The negative relationship between adolescents' use of screen media (TV and mobile phone) and physical activity and its possible displacement, depending on the type of day, added useful comparable knowledge for policies promoting an active lifestyle. Further research is required to provide evidence of the causality in the observed relationships.
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http://dx.doi.org/10.1016/j.adolescence.2010.11.009 | DOI Listing |
J Appl Gerontol
January 2025
Department of Health Behavior, School of Public Health, Texas A & M University, College Station, TX, USA.
This study investigated the relationship between different intensities of leisure-time physical activity (LTPA) (i.e., vigorous LTPA vs.
View Article and Find Full Text PDFJ Appl Gerontol
January 2025
Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
We examined the associations between physical activity (PA)-measured through self-reported walking and vigorous activities-and pain occurrence (self-reported bothersome pain or frequent pain medication use), and persistent pain (pain occurring for two consecutive years). This analysis used a large, nationally representative sample of 2279 older adults from the National Health and Aging Trends Study of 2015-2018, and applied generalized estimating equation regression with propensity score weighting. Approximately 70% and 50% of the participants reported walking and vigorous activities respectively at baseline.
View Article and Find Full Text PDFObes Rev
January 2025
Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA.
The purpose of this study was to calculate the effects of recent eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. In the search, 3550 articles were identified, and 15 studies met all inclusion criteria.
View Article and Find Full Text PDFNutrients
December 2024
School of Physical Education, Shandong University, 17922 Jingshi Road, Lixia District, Jinan 250061, China.
Objective: This study aims to explore the independent and combined associations of physical activity (PA) in different domains and inflammatory diet with type 2 diabetes mellitus (T2DM).
Methods: Data from 8736 American adults from the NHANES 2007-2016 were used. PA in different domains was assessed using the self-reported Global Physical Activity Questionnaire, and dietary inflammatory index was estimated based on 24 h dietary recalls.
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.
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