Social media use has become an important part of social life. However, little is known about its relation to physical health. Extending prior work on social media use and psychological well-being, the present research investigated how social media use is associated with a key indicator of health, systemic inflammation. Based on research on self-esteem and work on inflammation, the current study examined whether the link between social media use and inflammatory biomarkers would be moderated by self-esteem. A nationally probablistic sample of middle-aged adults ( = 863) completed self-report questionnaires on social media use, self-esteem, socio-demographic information, and health related behaviors. Approximately two years later, they provided a blood sample that was analyzed for C-reactive protein (CRP) and interleukin-6 (IL-6), biomarkers of systemic inflammation. Consistent with our hypothesis, self-esteem moderated the association between social media use and these markers of inflammation. Specifically, as self-esteem decreased, the positive association of social media use with CRP and IL-6 became stronger. These results held after controlling for socio-demographic information, health status, depressive symptoms, and medication usage. Social media use was not significantly correlated with either CRP or IL-6. The present research demonstrates physical health correlates of social media use and suggests self-esteem as a key variable that can moderate the relation between social media use and health.
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http://dx.doi.org/10.1016/j.bbih.2021.100300 | DOI Listing |
BMJ Glob Health
January 2025
Global Food System & Policy Research, York University, Toronto, Ontario, Canada
Introduction: Evolving human-wildlife interactions have contributed to emerging zoonoses outbreaks, and pandemic prevention policy for wildlife management and conservation requires enhanced consideration from this perspective. However, the risk of unintended consequences is high. In this study, we aimed to assess how unrecognised complexity and system adaptation can lead to policy failure, and how these dynamics may impact zoonotic spillover risk and food system outcomes.
View Article and Find Full Text PDFAddiction
January 2025
School of Psychological Science, University of Bristol, Bristol, UK.
Background And Aims: Gambling advertising is nowadays prevalent in multiple jurisdictions and can take multiple forms, such as TV adverts and social media promotions. However, few independently designed interventions for gambling advertising have been empirically tested. We aimed to measure the effectiveness of an inoculative intervention video for gambling advertising, which was developed based on previous interventions for alcohol and tobacco, and which used input from academics and experts by experience.
View Article and Find Full Text PDFJ Psychiatr Res
December 2024
School of Osteopathic Medicine, Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ, USA.
LGBTQ adolescents and young adults have been disproportionately affected by the COVID-19 pandemic. This review aims to describe the impact of the COVID-19 crisis on mental health among LGBTQ adolescents and young adults, identify associated factors, and summarize coping strategies. A systematic review was conducted by searching six databases (PubMed, Embase, PsycINFO, CINAHL, Web of Science, MEDLINE).
View Article and Find Full Text PDFJMIR 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.
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