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Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England
AIMS: Time to Change, an anti-stigma programme in England, has worked to reduce stigma relating to mental illness in many facets of life. Newspaper reports are an important factor in shaping public attitudes towards mental illnesses, as well as working as a barometer reflecting public opinion. This...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681112/ https://www.ncbi.nlm.nih.gov/pubmed/33148367 http://dx.doi.org/10.1017/S204579602000089X |
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author | Hildersley, R. Potts, L. Anderson, C. Henderson, C. |
author_facet | Hildersley, R. Potts, L. Anderson, C. Henderson, C. |
author_sort | Hildersley, R. |
collection | PubMed |
description | AIMS: Time to Change, an anti-stigma programme in England, has worked to reduce stigma relating to mental illness in many facets of life. Newspaper reports are an important factor in shaping public attitudes towards mental illnesses, as well as working as a barometer reflecting public opinion. This study aims to assess the way that coverage of mental health topics and different mental illnesses has changed since 2008. METHOD: Articles covering mental health in 18 different newspapers were retrieved using keyword searches on two randomly chosen days of each month in 2008, 2009, 2010, 2011, 2013, 2014, 2016 and 2019. A content analysis approach using a structured coding framework was used to extract information from the articles. Logistic regression models were used to estimate the change in odds of each hypothesised stigmatising or anti-stigmatising element occurring in 2019 compared to 2008 and 2016 with a Wald test to assess the overall significance of year as a predictor in the model. Further logistic regression models were used to assess the association between the diagnosis that an article was about and the odds that it was stigmatising, and whether this relationship is moderated by year of publication. RESULTS: A total of 6731 articles were analysed, and there was a significant increase in anti-stigmatising articles in 2019 compared to 2008 (OR 3.16 (2.60–3.84), p < 0.001) and 2016 (OR 1.40 (1.16–1.69), p < 0.001). Of the 5142 articles that specified a diagnosis, articles about schizophrenia were 6.37 times more likely to be stigmatising than articles about other diagnoses (OR 6.37 (3.05–13.29) p < 0.001), and there was evidence that the strength of this relationship significantly interacted with the year an article was published (p = 0.010). Articles about depression were significantly less likely to be stigmatising (OR 0.59 (0.69–0.85) p = 0.018) than those about other diagnoses, while there was no difference in coverage of eating disorders v. other diagnoses (OR 1.37 (0.67–2.80) p = 0.386); neither of these relationships showed an interaction with the year of publication. CONCLUSION: Anti-stigma programmes should continue to work with newspapers to improve coverage of mental illness. However, interventions should consider providing specific guidance and promote awareness of rarer mental illnesses, such as schizophrenia, and evaluation should examine whether reductions in stigma extend to people with all mental illness diagnoses. |
format | Online Article Text |
id | pubmed-7681112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76811122020-11-25 Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England Hildersley, R. Potts, L. Anderson, C. Henderson, C. Epidemiol Psychiatr Sci Original Article AIMS: Time to Change, an anti-stigma programme in England, has worked to reduce stigma relating to mental illness in many facets of life. Newspaper reports are an important factor in shaping public attitudes towards mental illnesses, as well as working as a barometer reflecting public opinion. This study aims to assess the way that coverage of mental health topics and different mental illnesses has changed since 2008. METHOD: Articles covering mental health in 18 different newspapers were retrieved using keyword searches on two randomly chosen days of each month in 2008, 2009, 2010, 2011, 2013, 2014, 2016 and 2019. A content analysis approach using a structured coding framework was used to extract information from the articles. Logistic regression models were used to estimate the change in odds of each hypothesised stigmatising or anti-stigmatising element occurring in 2019 compared to 2008 and 2016 with a Wald test to assess the overall significance of year as a predictor in the model. Further logistic regression models were used to assess the association between the diagnosis that an article was about and the odds that it was stigmatising, and whether this relationship is moderated by year of publication. RESULTS: A total of 6731 articles were analysed, and there was a significant increase in anti-stigmatising articles in 2019 compared to 2008 (OR 3.16 (2.60–3.84), p < 0.001) and 2016 (OR 1.40 (1.16–1.69), p < 0.001). Of the 5142 articles that specified a diagnosis, articles about schizophrenia were 6.37 times more likely to be stigmatising than articles about other diagnoses (OR 6.37 (3.05–13.29) p < 0.001), and there was evidence that the strength of this relationship significantly interacted with the year an article was published (p = 0.010). Articles about depression were significantly less likely to be stigmatising (OR 0.59 (0.69–0.85) p = 0.018) than those about other diagnoses, while there was no difference in coverage of eating disorders v. other diagnoses (OR 1.37 (0.67–2.80) p = 0.386); neither of these relationships showed an interaction with the year of publication. CONCLUSION: Anti-stigma programmes should continue to work with newspapers to improve coverage of mental illness. However, interventions should consider providing specific guidance and promote awareness of rarer mental illnesses, such as schizophrenia, and evaluation should examine whether reductions in stigma extend to people with all mental illness diagnoses. Cambridge University Press 2020-11-05 /pmc/articles/PMC7681112/ /pubmed/33148367 http://dx.doi.org/10.1017/S204579602000089X Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Hildersley, R. Potts, L. Anderson, C. Henderson, C. Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England |
title | Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England |
title_full | Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England |
title_fullStr | Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England |
title_full_unstemmed | Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England |
title_short | Improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in England |
title_sort | improvement for most, but not all: changes in newspaper coverage of mental illness from 2008 to 2019 in england |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681112/ https://www.ncbi.nlm.nih.gov/pubmed/33148367 http://dx.doi.org/10.1017/S204579602000089X |
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