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Relationships between types of UK national newspapers, illness classification, and stigmatising coverage of mental disorders

Research output: Contribution to journalArticlepeer-review

Yan Li, Rosanna Hildersley, Grace W.K. Ho, Laura Potts, Claire Henderson

Original languageEnglish
Pages (from-to)1527-1535
Number of pages9
JournalSocial Psychiatry and Psychiatric Epidemiology
Volume56
Issue number9
DOIs
Accepted/In press2021
PublishedSep 2021

Bibliographical note

Funding Information: The Time to Change evaluation was funded by the UK Government Department of Health, Comic Relief and Big Lottery Fund. CH was supported by these grants during phases 1-3 of TTC and LP during phase 3. The funding sources had no involvement in the study design, data, or report writing. We thank Sue Baker, Maggie Gibbons, and Paul Farmer, Mind; Paul Corry and Mark Davies, Rethink Mental Illness, for their collaboration. Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

King's Authors

Abstract

Background: Media coverage on mental health problems has been found to vary by newspaper type, and stigma disproportionately affects people with mental illness by diagnosis. Objective: This study investigated the relationships between types of UK national newspaper (tabloid vs. broadsheet), illness classification (SMI–severe mental illnesses vs. CMD–common mental disorders), and stigmatising coverage of mental disorders, and whether these relationships changed over the course of the Time to Change anti-stigma programmes in England and Wales. Methods: Secondary analysis of data from a study of UK newspaper coverage of mental illness was performed. Relevant articles from nine UK national newspapers in 2008–11, 2013, 2016 and 2019 were retrieved. A structured coding framework was used for content analysis. The odds an article was stigmatising in a tabloid compared to a broadsheet, and about SMI compared to CMD, were calculated. Coverage of CMD and SMI by newspaper type was compared using the content elements categorised as stigmatising or anti-stigmatising. Results: 2719 articles were included for analysis. Articles in tabloids had 1.32 times higher odds of being stigmatising than articles in broadsheet newspapers (OR 1.32, 95% CI 1.12–1.55). Odds of stigmatising coverage was 1.72 times higher for articles on SMI than CMD (OR 1.72, 95% CI 1.39–2.13). Different patterns in reporting were observed when results were stratified by years for all analyses. A few significant associations were observed for the portrays of stigmatising elements between tabloid and broadsheet newspapers regarding SMI or CMD. Conclusions: Tailored interventions are needed for editors and journalists of different newspaper types, to include specific strategies for different diagnoses.

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