A comparison of single and intersectional social identities associated with discrimination and mental health service use: data from the 2014 Adult Psychiatric Morbidity Survey in England.
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| Title: | A comparison of single and intersectional social identities associated with discrimination and mental health service use: data from the 2014 Adult Psychiatric Morbidity Survey in England. |
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| Authors: | Rhead, Rebecca D. (AUTHOR), Woodhead, Charlotte (AUTHOR), Ahmad, Gargie (AUTHOR), Das-Munshi, Jayati (AUTHOR), McManus, Sally (AUTHOR), Hatch, Stephani L. (AUTHOR) |
| Source: | Social Psychiatry & Psychiatric Epidemiology. Oct2022, Vol. 57 Issue 10, p2049-2063. 15p. |
| Subjects: | Medical care use, Group identity, Intersectionality, Social status, Adults |
| Geographic Terms: | England |
| Abstract: | Inequities in mental health service use (MHSU) and treatment are influenced by social stratification processes linked to socially contextualised interactions between individuals, organisations and institutions. These complex relations underpin observed inequities and their experience by people at the intersections of social statuses. Discrimination is one important mechanism influencing such differences. We compared inequities in MHSU/treatment through single and intersectional status analyses, accounting for need. We assessed whether past-year discrimination differentially influences MHSU/treatment across single and intersecting statuses. Data came from a population survey (collected 2014–2015) nationally representative of English households (N = 7546). We used a theory and datadriven approach (latent class analysis) which identified five intersectional groups in the population comprising common combinations of social statuses. Single status analyses identified characteristics associated with MHSU/treatment (being a sexual minority (adjusted odds ratio (AOR) 1.65 95% CI:1.09-2.50), female (AOR 1.71, 95% CI:1.45–2.02), economically inactive (AOR 2.02, 95% CI:1.05–3.90), in the most deprived quintile (AOR 1.33, 95% CI:1.02–1.74), and Black (AOR 0.36 95% CI:0.20–0.66)). Intersectional analyses detected patterns not apparent from single status analyses. Compared to the most privileged group ("White British, highly educated, employed, high social class"), "Retired White British" had greater odds of MHSU/treatment (AOR 1.88, 95% CI:1.53-2.32) while "Employed migrants" had lower odds (AOR 0.39, 95% CI:0.27–0.55). Past-year discrimination was associated with certain disadvantaged social statuses and greater MHSU/treatment but—except for sexual minorities—adjusting for discrimination had little influence using either analytic approach. Observing patterns only by single social statuses masks potentially unanticipated and contextually varying inequities. The latent class approach offers policy-relevant insights into patterns and mechanisms of inequity but may mask other key intersectional patterns by statuses less common or under represented in surveys (e.g. UK-born ethnic minority groups). We propose multiple, context-relevant, theory-driven approaches to intersectional understanding of mental health inequalities. [ABSTRACT FROM AUTHOR] |
| Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 159142709 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A comparison of single and intersectional social identities associated with discrimination and mental health service use: data from the 2014 Adult Psychiatric Morbidity Survey in England. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rhead%2C+Rebecca+D%2E%22">Rhead, Rebecca D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Woodhead%2C+Charlotte%22">Woodhead, Charlotte</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ahmad%2C+Gargie%22">Ahmad, Gargie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Das-Munshi%2C+Jayati%22">Das-Munshi, Jayati</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McManus%2C+Sally%22">McManus, Sally</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hatch%2C+Stephani+L%2E%22">Hatch, Stephani L.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Oct2022, Vol. 57 Issue 10, p2049-2063. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Medical+care+use%22">Medical care use</searchLink><br /><searchLink fieldCode="DE" term="%22Group+identity%22">Group identity</searchLink><br /><searchLink fieldCode="DE" term="%22Intersectionality%22">Intersectionality</searchLink><br /><searchLink fieldCode="DE" term="%22Social+status%22">Social status</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22England%22">England</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Inequities in mental health service use (MHSU) and treatment are influenced by social stratification processes linked to socially contextualised interactions between individuals, organisations and institutions. These complex relations underpin observed inequities and their experience by people at the intersections of social statuses. Discrimination is one important mechanism influencing such differences. We compared inequities in MHSU/treatment through single and intersectional status analyses, accounting for need. We assessed whether past-year discrimination differentially influences MHSU/treatment across single and intersecting statuses. Data came from a population survey (collected 2014–2015) nationally representative of English households (N = 7546). We used a theory and datadriven approach (latent class analysis) which identified five intersectional groups in the population comprising common combinations of social statuses. Single status analyses identified characteristics associated with MHSU/treatment (being a sexual minority (adjusted odds ratio (AOR) 1.65 95% CI:1.09-2.50), female (AOR 1.71, 95% CI:1.45–2.02), economically inactive (AOR 2.02, 95% CI:1.05–3.90), in the most deprived quintile (AOR 1.33, 95% CI:1.02–1.74), and Black (AOR 0.36 95% CI:0.20–0.66)). Intersectional analyses detected patterns not apparent from single status analyses. Compared to the most privileged group ("White British, highly educated, employed, high social class"), "Retired White British" had greater odds of MHSU/treatment (AOR 1.88, 95% CI:1.53-2.32) while "Employed migrants" had lower odds (AOR 0.39, 95% CI:0.27–0.55). Past-year discrimination was associated with certain disadvantaged social statuses and greater MHSU/treatment but—except for sexual minorities—adjusting for discrimination had little influence using either analytic approach. Observing patterns only by single social statuses masks potentially unanticipated and contextually varying inequities. The latent class approach offers policy-relevant insights into patterns and mechanisms of inequity but may mask other key intersectional patterns by statuses less common or under represented in surveys (e.g. UK-born ethnic minority groups). We propose multiple, context-relevant, theory-driven approaches to intersectional understanding of mental health inequalities. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=159142709 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00127-022-02259-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 2049 Subjects: – SubjectFull: Medical care use Type: general – SubjectFull: Group identity Type: general – SubjectFull: Intersectionality Type: general – SubjectFull: Social status Type: general – SubjectFull: Adults Type: general – SubjectFull: England Type: general Titles: – TitleFull: A comparison of single and intersectional social identities associated with discrimination and mental health service use: data from the 2014 Adult Psychiatric Morbidity Survey in England. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rhead, Rebecca D. – PersonEntity: Name: NameFull: Woodhead, Charlotte – PersonEntity: Name: NameFull: Ahmad, Gargie – PersonEntity: Name: NameFull: Das-Munshi, Jayati – PersonEntity: Name: NameFull: McManus, Sally – PersonEntity: Name: NameFull: Hatch, Stephani L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 09337954 Numbering: – Type: volume Value: 57 – Type: issue Value: 10 Titles: – TitleFull: Social Psychiatry & Psychiatric Epidemiology Type: main |
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