Objective: The aim of this study was to analyze isolated and combined associations of physical inactivity excessive screen time with negative self-rated health, according to sex, among school adolescents.
Methods: In this cross-sectional study conducted with 2,517 adolescents in Amazonas State, participants were asked about their self-rated health with the following question: How do you rate your health? Responses were dichotomized into positive (excellent and good) and negative (regular, bad, and terrible). Information on sex, age group, family income, physical activity, and screen time (watching TV, using a computer, or playing video games) was collected through a self-administered questionnaire. Adolescents simultaneously classified as physically inactive (<60 min/day) and having excessive screen time (>2 h/day) were considered to have two risk factors. Data was analyzed using binary logistic regression.
Results: Out of every 10 adolescents, 2 had a negative self-rated health. After adjusting for age and family income, there were no isolated or combined associations between physical inactivity or excessive screen time and negative self-rated health in girls. In boys, negative self-rated health was associated with insufficient levels of physical activity (odds ratio [OR]: 2.39; 95% confidence interval [CI]: 1.03-5.59) and with the accumulation of two risk factors (OR: 1.61; 95%CI 1.10-2.34).
Conclusions: Being insufficiently active and the combination of physical inactivity and excessive screen time become exposure factors to the negative self-rated health of adolescent boys.
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http://dx.doi.org/10.1590/1984-0462/2023/41/2022077 | DOI Listing |
BMC Public Health
January 2025
Department of Nursing, School of Medicine, Lishui University, No. 1 Xueyuan Road, Lishui City, Zhejiang Province, 323000, China.
Background: Identifying the level of healthy aging and exploring its associated factors are prerequisites in the planning of effective measures among the elderly population. Thus, this study aimed to investigate the prevalence of healthy aging and determine its associated factors among community-dwelling older adults from mountain areas in Lishui, China.
Methods: A multicenter cross-sectional survey was conducted.
Radiography (Lond)
January 2025
Discipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia. Electronic address:
Introduction: Radiography and medical students (RMS), upon graduation, require capabilities to provide life-saving care through identification and communication of urgent findings on radiological imaging. This preliminary study investigated RMS' ability to identify and categorise urgent findings on CT examinations. It also explored their experiences of image interpretation education.
View Article and Find Full Text PDFSoc Psychiatry Psychiatr Epidemiol
January 2025
Health Equity Policy Division, Public Health Agency of Canada, Ottawa, Canada.
Purpose: Rising concern surrounds youth mental health in Canada, with growing disparities between females and males. However, less is known about recent trends by other sociodemographic factors, including sexual orientation, ethnocultural background, and socioeconomic status.
Methods: This study analyzed data from 96 683 youths aged 15-24 who participated in the nationally representative Canadian Community Health Survey (CCHS) between 2007 and 2022.
Narra J
December 2024
Master Program in Smart Healthcare Management (SHM), International College of Sustainability Innovations, National Taipei University, New Taipei City, Taiwan.
Cognitive decline poses a significant challenge for the elderly population globally. The aim of this study was to determine the prevalence of cognitive function and its associated factors among the elderly in the Indonesian family life survey's fifth wave (IFLS-5) conducted from 2014 to 2015. The study included elderly individuals aged 60 and above, excluding proxy respondents and those with missing data.
View Article and Find Full Text PDFBehav Med
January 2025
Clinical Research Institute, Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Several studies report significant changes in lifestyle habits during the COVID-19 pandemic, yet results are largely heterogeneous across populations. We examined changes in lifestyle and health behaviors during the first COVID-19 lockdown in Lebanon and assessed whether mental and physical health indicators and outbreak- and lockdown-related factors are related to these changes. Data come from a cross-sectional online survey (May-June 2020) which assessed changes in smoking, alcohol, diet, eating behavior, physical activity, sleep hours, sleep satisfaction, social media use, self-rated health, and life satisfaction ( = 494).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!