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Person-Specific Analyses of Smartphone Use and Mental Health: An Intensive Longitudinal Study Over One Year.
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.
J Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFThe Association Between COVID-19 Vaccination Uptake and Information-Seeking Behaviors Using the Internet: Nationwide Cross-Sectional Study.
J Med Internet Res
January 2025
Department of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Background: The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information.
View Article and Find Full Text PDFThe Combined Effect of Multisensory Stimulation and Therapist Support on Physical and Mental Health of Older Adults Living in Nursing Homes: Pilot Randomized Controlled Trial.
J Med Internet Res
January 2025
School of Public Health, University of Haifa, Haifa, Israel.
Background: Increasing life expectancy has led to a rise in nursing home admissions, a context in which older adults often experience chronic physical and mental health conditions, chronic pain, and reduced well-being. Nonpharmacological approaches are especially important for managing older adults' chronic pain, mental health conditions (such as anxiety and depression), and overall well-being, including sensory stimulation (SS) and therapist support (TS). However, the combined effects of SS and TS have not been investigated.
View Article and Find Full Text PDFGenerations X, Y, Z: The Moderating Role of Self-Reliance in Relationships Between Loneliness, Social Media Addiction, and Life Satisfaction in Men.
Cyberpsychol Behav Soc Netw
January 2025
Israel-School of Social Work, Ariel University, Ariel, Israel.
In today's sociocultural milieu, characterized by pervasive social media and evolving conceptions of masculinity, this study examines the interplay among loneliness, social media addiction, self-reliance, and life satisfaction across Generations (Gen) X, Y, and Z. Employing a comprehensive model, the study explores social media addiction as a mediator between loneliness and life satisfaction, with a focus on the moderating role of the pivotal masculine trait of self-reliance in the loneliness-social media addiction relationship. Based on an online survey of 775 Israeli men aged 18-58, the findings reveal unique generational patterns.
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