Mounting evidence suggests that problematic adolescent social media use is associated with poor mental health. To respond to increased adolescent mental health concerns, health promoters increasingly rely on social media initiatives to promote their resources, programs, and services. This creates a paradoxical situation where social-media-linked adverse mental health outcomes are addressed using the same tools and platforms that can contribute to the development of such issues. It also highlights several areas of needed critical assessment in health promotion usage of social media platform features and products, such as addictive platform design, targeted marketing tools, data collection practices, impacts on underserved groups, and conflicts of interest. To advance subsequent action on these tensions, we offer three recommendations for health promoters that build upon existing scholarship and initiatives, including adapting ethical guidelines for health promoters using social media, adopting conflicts of interest policies, and promoting interdisciplinary scholarship.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160305 | PMC |
http://dx.doi.org/10.1177/15248399211064640 | DOI Listing |
Aging Ment Health
January 2025
Department of Experimental Psychology, University of Oxford, Oxford, UK.
Objectives: There has been limited exploration into the nature and development of psychotic experiences (PEs) in Parkinson's disease (PD). We aimed to comprehensively assess the frequency, severity, and associated distress of paranoia and unusual sensory experiences (USEs) in PD, and to assess what variables are significantly associated with these experiences, focussing on psychological processes central to understanding PEs in non-PD groups.
Method: A questionnaire battery was completed by 369 individuals with PD with a mean age of 66 years and mean time since diagnosis of 5 years.
Int J Environ Health Res
January 2025
Health Science Faculty, Department of Nutrition and Dietetics, Çankırı Karatekin University, Çankırı, Türkiye.
This study aimed to assess post-earthquake trauma levels in adults and explore the relationship between trauma, sleep disorders, dietary habits, and emotional eating. Conducted with 708 adults using snowball sampling, the study utilized the PROMIS Sleep Disturbance Scale, the Post-earthquake Trauma Level Determination Scale, and the Feeding Your Feelings: Emotional Eating Scale. Results revealed that factors such as gender, exposure to earthquake-related content on social media, time spent on social media before sleep, losing a loved one, and emotional eating tendencies significantly influenced trauma levels (Adj.
View Article and Find Full Text PDFActa Med Philipp
December 2024
Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila.
Background: As social media continue to grow as popular and convenient tools for acquiring and disseminating health information, the need to investigate its utilization by laypersons encountering common medical issues becomes increasingly essential.
Objectives: This study aimed to analyze the content posted in Facebook groups for Glucose-6-Phosphate Dehydrogenase (G6PD) deficiency and how these engage the members of the group.
Methods: This study employed an inductive content analysis of user-posted content in both public and private Facebook groups catering specifically to G6PD deficiency.
Prev Med Rep
January 2025
One Health Research Group, Faculty of Medicine, Universidad de las Américas, Quito, Ecuador.
Background: Electronic cigarettes, introduced as a safer tobacco alternative, have unintentionally exposed millions of youths to nicotine and harmful chemicals. Adolescence, a key period for forming lifelong habits, has seen rising e-cigarette use, particularly in developing regions like Latin America, warranting thorough investigation.
Objective: To describe the prevalence and factors associated with e-cigarette use among adolescents in Latin America.
Healthc Technol Lett
January 2025
This study aimed to develop an advanced ensemble approach for automated classification of mental health disorders in social media posts. The research question was: can an ensemble of fine-tuned transformer models (XLNet, RoBERTa, and ELECTRA) with Bayesian hyperparameter optimization improve the accuracy of mental health disorder classification in social media text. Three transformer models (XLNet, RoBERTa, and ELECTRA) were fine-tuned on a dataset of social media posts labelled with 15 distinct mental health disorders.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!