Evidence map›Paper›PMID 32715077›Full record

ArticleSSM - population health2020

Moderation by socioeconomic status of the relationship between familiarity with mental illness and stigma outcomes.

Laura C Potts, Claire Henderson

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Article in SSM - population health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. Public's Attitudes Toward Mentally Ill Offenders in Greece.Advances in experimental medicine and biology · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Laura C PottsBiostatistics and Health Informatics Department, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, SE5 8AF, UK.
Claire HendersonHealth Service and Population Research Department, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, SE5 8AF, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple studies suggest response to mental health treatment is worse for people of lower socioeconomic status, a group who also express more mental illness stigma. Worse response to treatment may lead to greater therapeutic pessimism, an important component of stigma. However, familiarity with mental illness is associated with lower levels of stigma. This study therefore examines whether, among the general public, socioeconomic status moderates the relationships between familiarity and stigma related outcomes: knowledge; attitudes; and desire for social distance.

methodsWe carried out secondary analysis of data from the Attitudes to Mental Illness survey, collected annually from different general population samples from 2009-17, and every two years from 2017-19. Three separate multiple linear regression models examined factors associated with each outcome, with interaction tests between socioeconomic status and familiarity. Stigma related knowledge was measured using the Mental Health Knowledge Schedule (MAKS), which includes items on treatment effectiveness and recovery, thus addressing aspects of therapeutic pessimism. Attitudes were measured using the Community Attitudes towards the Mentally Ill Scale; and desire for social distance using the Reported and Intended Behaviour scale.

resultsIn lower socioeconomic groups, personal experience was more frequent, while familiarity with someone else was less frequent. Interaction tests were significant for stigma related knowledge (p<0.0001) and desire for social distance (p=0.0118), but not for attitudes (p=0.057). The direction of the interaction differed between knowledge and the other outcomes. In lower socioeconomic groups the positive effect of familiarity on knowledge was weaker, as hypothesised, but for attitudes and desire for social distance, its effect was stronger.

conclusionsOur results support the promotion of familiarity through encouraging discussion of mental health problems within social networks. However, lower stigma related knowledge among people with personal experience in lower socioeconomic groups suggests different responses to mental illness among these groups are needed.

Indexed as

Anti-stigma programmeFamiliarityMental healthSocioeconomic statusStigmaTime to change

Identifiers

PMID32715077
PMCPMC7378684

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.