This study investigated how laypersons assess subclinical depression in others from 2 forms of written self-descriptions: personal diaries and online blogs. Fifty-seven target participants wrote essays describing their personality as they would in each context. Naïve judges then rated targets' depression from the 2 sets of self-descriptions. The judges achieved high and comparable levels of accuracy in the 2 self-descriptions by basing their impressions on linguistic cues indicative of depression-related emotional, cognitive, temporal, and social processes. Consistent with the idea that diaries particularly afford the disclosure of socially sensitive concerns whereas online blogs particularly afford the disclosure of socially acceptable concerns, several cues were indicative of depression only in the targets' diaries (sadness words, cognitive mechanism words, metaphysical references) or their online blogs (e.g., swear words, references to sleep). For most of these cues, judges were implicitly aware of their context-specific diagnosticity.
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http://dx.doi.org/10.1111/j.1467-6494.2010.00627.x | DOI Listing |
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 PDFBMJ Open
January 2025
School of Psychology, University of East Anglia, Norwich, UK.
Introduction: Mental health problems are the most significant cause of disability and have high annual economic costs; hence, they are a priority for the government, service providers and policymakers. Consisting of largely coastal and rural communities, the populations of Norfolk and Suffolk, UK, have elevated burdens of mental health problems, areas with high levels of deprivation and an increasing migrant population. However, these communities are underserved by research and areas with the greatest mental health needs are not represented or engaged in research.
View Article and Find Full Text PDFBMC Med Ethics
December 2024
School of Public Health and Social Policy, Faculty of Human and Social Development, University of Victoria, Victoria, BC, Canada.
Background: Some transgender and nonbinary people undergo phalloplasty and/or metoidioplasty as part of their medical transition process. Across surgical disciplines, a variety of resources are used to assist patients who are preparing for surgeries, including educational materials, workshops, peer support, and lifestyle changes. For gender-affirming surgeries, patients undergoing assessments to discern whether they are ready to undergo the surgery, and to assist them in achieving preparedness when needed.
View Article and Find Full Text PDFImportance: This research describes which articles published in Urogynecology are garnering the most attention online. Understanding which articles are having the largest impact in the online community has become increasingly important due to the exponential increase in the use of social media on the internet.
Objective: The Altmetric Attention Score (AAS) is a quantitative and qualitative measure of the articles' online attention in social media and news outlets, blogs, and reference managers.
JMIR Infodemiology
December 2024
Epidemiology and Benefit-Risk Department, Sanofi, Bridgewater, NJ, United States.
Background: Spontaneous pharmacovigilance reporting systems are the main data source for signal detection for vaccines. However, there is a large time lag between the occurrence of an adverse event (AE) and the availability for analysis. With global mass COVID-19 vaccination campaigns, social media, and web content, there is an opportunity for real-time, faster monitoring of AEs potentially related to COVID-19 vaccine use.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!