Background And Aims: Given the decline in alcohol consumption and rise in technological use among young people, there is a need to investigate whether technology use might influence how young people drink. This study explores how social media use and changes in social media use over time could affect alcohol use among youths.
Design: The UK Household Longitudinal Study (Understanding Society).
Setting: United Kingdom.
Participants: Participants aged 10-15 (n = 4093) and 16-19 (n = 2689) from the youth and main survey interviewed in 2011-13, and followed-up in 2014-16 (aged 10-15 n = 2588, aged 16-19 n = 1057).
Measurements: Self-reported social media usage on an average day (no profile/non-daily/less than an hour/1-3/4+ hours use), drinking frequency (never/one to three times/weekly) and binge drinking frequency (never/one to two/three/more than three times) in the past month. Covariates included sex, age, educational status, household income, urban/rural, number of friends and life satisfaction.
Findings: Among 10-15-year-olds, compared with those who used social media for less than an hour, those with no profile [odds ratio (OR) = 0.41, 95% confidence interval (CI) = 0.25-0.67] and non-daily users (OR = 0.49, 95% CI = 0.33-0.72) had a lower risk of drinking at least monthly, whereas those with 1-3 hours' use (OR = 1.44, 95% CI = 1.14-1.81) and 4+ hours' use (OR = 2.08, 1.47-2.95) had a greater risk. Among participants aged 16-19, a lower risk of binge drinking three or more times per month was found for those with no profile [relative risk ratios (RRR) = 0.29, 95% CI = 0.17-0.48] and a higher risk for those with 4+ hours' use (RRR = 1.47, 95% CI = 1.03-2.09). Longitudinally, among 10-15-year-olds, those who had increased their social media usage versus no change were more likely to have increased their drinking frequency (OR = 1.89, 95% CI = 1.45-2.46). Some social media use at baseline (rather than none) was predictive of increased drink and binge drinking frequency over time among youths and young adults.
Conclusions: Heavier social media use was associated with more frequent alcohol consumption among young people in the United Kingdom.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/add.15482 | DOI Listing |
BMC Health Serv Res
January 2025
Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Background: Poor care experiences are reported for premenstrual disorders, which may result in negative outcomes such as distress, reduced healthcare engagement, and delays to diagnosis. This research aimed to explore healthcare experiences for premenstrual symptoms in the United Kingdom and identify areas for potential improvements based on participant responses.
Method: An online survey was delivered, with participants recruited via social media.
BMC Public Health
January 2025
National Institute for Health Research (NIHR) School for Public Health Research (SPHR), Newcastle, UK.
Background: In England, 23% of children aged 11 start their teenage years living with obesity. An adolescent living with obesity is five times more likely to live with obesity in adult life. There is limited research and policy incorporating adolescents' views on how they experience the commercial determinants of dietary behaviour and obesity, which misses an opportunity to improve services and policies that aim to influence the prevalence of childhood obesity.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.
Background/aims: Social connectedness is increasingly recognised as influencing health outcomes in cancer caregivers; however, there is little understanding of factors which foster feelings of social connectedness among caregivers when providing care. We sought to examine from the caregivers' perspective, factors which contribute to perceived social connection when providing care to someone with cancer.
Methods: Semi-structured interviews were conducted with 20 caregivers of people with cancer.
Sci Rep
January 2025
EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia.
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based models, such as Graph Neural Networks (GNNs), have achieved notable success in Natural Language Processing (NLP). However, utilizing GNN-based models for propaganda detection remains challenging because of the challenges related to mining distinct word interactions and storing nonconsecutive and broad contextual data.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Health Technology and Services Research (CINTESIS@RISE), School of Health Sciences, University of Aveiro, Aveiro, Portugal.
This study describes the process of designing and developing the user interface of a digital solution aiming to promote physical and cognitive training (DanceMove) and testing for its usability by community-dwelling older adults. This study is subdivided into four phases: (i) concept and ideation, (ii) design and development of the prototype, (iii) testing of the functional mock-ups, and (iv) testing of the prototype in the laboratory and in the real context of use. Through the different phases of the study technological and healthcare professionals and users were involved.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!