Cited by 162Mental Health Treatment and AccessSocial and Intergroup PsychologyRacial and Ethnic Identity Research

“Depression is who I am”: mental illness identity, stigma and wellbeing

Cruwys, Tegan, Gunaseelan, Sathiavaani·2016·Journal of Affective Disorders

Abstract

Background Previous research has found that in the face of discrimination, people tend to identify more strongly with stigmatized groups. Social identification can, in turn, buffer wellbeing against the negative consequences of discrimination. However, this rejection identification model has never been tested in the context of mental illness identity.Methods A survey was conducted with 250 people with diagnosed depression or current symptoms of at least moderate clinical severity.Results Experiencing mental illness stigma was associated with poorer wellbeing. Furthermore, people who had experienced such stigma were more likely to identify as a depressed person. Social identification as depressed magnified, rather than buffered, the relationship between stigma and reduced wellbeing. This relationship was moderated by perceived social norms of the depressed group for engaging in depressive thoughts and behaviors.Conclusions These findings suggest that mental illness stigma is a double-edged sword: as well as the direct harms for wellbeing, by increasing identification with other mental illness sufferers, stigma might expose sufferers to harmful social influence processes.

Integrity signals

Registry

Crossref · 10.1016/j.jad.2015.09.012

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some authors have highlighted the social role of diagnostic labels, such as Cruwys and Gunaseelan (111) who found that people diagnosed with depression tended to identify more with their diagnosis when they faced stigma, using the identification with a group as a buffer against discrimination.

    “Some authors have highlighted the social role of diagnostic labels, such as Cruwys and Gunaseelan (111) who found that people diagnosed with depression tended to identify more with their diagnosis when they faced stigma, using the identification with a group as a buffer against discrimination.”

Cites

Flagged first, then by citations

1 of the 57 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Cruwys, T., & Gunaseelan, S.
Affiliations
The University of Queensland (AU)
Corresponding author
Cruwys, Tegan
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2016-01
Volume
189
Pages
36-42
ISSN
0165-0327 (ISSN-L)
OpenAlex
W1875970793
Cited by
162
References
57
Citations by year
2026: 14 · 2025: 41 · 2024: 10 · 2023: 19 · 2022: 14 · 2021: 14 · 2020: 11 · 2019: 16 · 2018: 8 · 2017: 9 · 2016: 6
FWCI
12.55
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
Keywords
mental health stigma, depression, social identification, well-being, discrimination, social norms, social influence
MeSH terms
Adaptation, Psychological, Depression, Female, Humans, Male, Middle Aged, Queensland, Social Adjustment, Social Identification, Stereotyping, Social Stigma

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review