Background: Cross-sectional studies have found a relationship between social media use and depression and anxiety in young people. However, few longitudinal studies using representative data and mediation analysis have been conducted to understand the causal pathways of this relationship.
Objective: This study aims to examine the longitudinal relationship between social media use and young people's mental health and the role of self-esteem and social connectedness as potential mediators.
Methods: The sample included 3228 participants who were 10- to 15-year-olds from Understanding Society (2009-2019), a UK longitudinal household survey. The number of hours spent on social media was measured on a 5-point scale from "none" to "7 or more hours" at the ages of 12-13 years. Self-esteem and social connectedness (number of friends and happiness with friendships) were measured at the ages of 13-14 years. Mental health problems measured by the Strengths and Difficulties Questionnaire were assessed at the ages of 14-15 years. Covariates included demographic and household variables. Unadjusted and adjusted multilevel linear regression models were used to estimate the association between social media use and mental health. We used path analysis with structural equation modeling to investigate the mediation pathways.
Results: In adjusted analysis, there was a nonsignificant linear trend showing that more time spent on social media was related to poorer mental health 2 years later (n=2603, β=.21, 95% CI −0.43 to 0.84; P=.52). In an unadjusted path analysis, 68% of the effect of social media use on mental health was mediated by self-esteem (indirect effect, n=2569, β=.70, 95% CI 0.15-1.30; P=.02). This effect was attenuated in the adjusted analysis, and it was found that self-esteem was no longer a significant mediator (indirect effect, n=2316, β=.24, 95% CI −0.12 to 0.66; P=.22). We did not find evidence that the association between social media and mental health was mediated by social connectedness. Similar results were found in imputed data.
Conclusions: There was little evidence to suggest that more time spent on social media was associated with later mental health problems in UK adolescents. This study shows the importance of longitudinal studies to examine this relationship and suggests that prevention strategies and interventions to improve mental health associated with social media use could consider the role of factors like self-esteem.
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http://dx.doi.org/10.2196/43213 | 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.
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