Literature DB >> 32304914

Depression presentations, stigma, and mental health literacy: A critical review and YouTube content analysis.

Andrew Devendorf1, Ansley Bender2, Jonathan Rottenberg2.   

Abstract

We review knowledge concerning public presentations for depression. These presentations impact illness beliefs and may influence public stigma, self-stigma, and depression literacy. We provide a critical review of messages, images, and information concerning depression's causes, continuum conceptualization, timeline, curability, coping/treatment regimen, and strengths. To provide data regarding the prevalence of particular presentations, we conducted a content analysis of 327 videos about depression representative of material on the YouTube social media platform. YouTube presentations of depression indicate that depression: 1) is caused by either biological (49.5%) or environmental (41.3%) factors; 2) is a categorical construct (71%); 3) is treatable, with 61% of relevant videos (n = 249) presenting recovery as "likely"; 4) is chronic, found in 76% of videos mentioning timeline; 5) is recurrent (32.5%); 6) is mostly treated via medication (47.4%) or therapy (42.8%), although diet/exercise (28.4%) and alternative treatments (22.6%) are commonly endorsed; and 7) is rarely associated with strength (15.3%). Nearly one-third of videos were uploaded by non-professional vloggers, while just 9% were uploaded by mental health organizations. We discuss how these presentations may influence stigmatizing attitudes and depression literacy among people with and without depression and suggest future research directions to better understand how to optimize public presentations.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Content analysis; Depression; Illness beliefs; Public framing; Stigma; YouTube

Mesh:

Year:  2020        PMID: 32304914     DOI: 10.1016/j.cpr.2020.101843

Source DB:  PubMed          Journal:  Clin Psychol Rev        ISSN: 0272-7358


  4 in total

1.  Exploring Continuum and Categorical Conceptualisations of Mental Health and Mental Illness on Australian Websites: A Systematic Review and Content Analysis.

Authors:  Dominic K Fernandez; Saniya Singh; Frank P Deane; Stewart A Vella
Journal:  Community Ment Health J       Date:  2022-08-22

2.  Identifying Antidepressant Effects of Brain-Derived Neurotrophic Factor and IDO1 in the Mouse Model Based on RNA-Seq Data.

Authors:  Jing Ren; Chenyang Li; Songren Wei; Yanjun He; Peng Huang; Jiangping Xu
Journal:  Front Genet       Date:  2022-05-30       Impact factor: 4.772

3.  A Review of You Tube Content to Assess US Mental Health During the Covid-19 Pandemic.

Authors:  Eden Sherman; Jan Mohlman; Corey H Basch; Joesph Fera; Emma Barry
Journal:  J Community Health       Date:  2022-07-22

4.  'Maybe I Shouldn't Talk': The Role of Power in the Telling of Mental Health Recovery Stories.

Authors:  Joy Llewellyn-Beardsley; Stefan Rennick-Egglestone; Kristian Pollock; Yasmin Ali; Emma Watson; Donna Franklin; Caroline Yeo; Fiona Ng; Rose McGranahan; Mike Slade; Alison Edgley
Journal:  Qual Health Res       Date:  2022-08-18
  4 in total

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