Skip to main content
Top
Published in: Supportive Care in Cancer 3/2021

01-03-2021 | Review Article

Correlates of stigma for patients with cancer: a systematic review and meta-analysis

Authors: Zehao Huang, Ting Yu, Siyu Wu, Ailing Hu

Published in: Supportive Care in Cancer | Issue 3/2021

Login to get access

Abstract

Objective

The systematic review and meta-analysis was performed to summarize the available evidence and identify the correlates of cancer stigma.

Methods

PubMed, EMBASE, Web of Science, the Cochrane Library, and PsycINFO were electronically searched to identify eligible studies about correlates of stigma for patients with cancer. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of included studies. A meta-analysis was performed using the statistical program R.

Results

Thirty-one studies involving a total of 7114 patients were included in the systematic review and meta-analysis. The results of the meta-analysis showed that cancer stigma shared positive associations with male gender, symptoms, depression, anxiety, body image loss, self-blame, social constraint, intrusive thoughts, and ambivalence over emotional expression, and negative associations with income, NK cell subsets, QOL, self-esteem, self-efficacy, cancer screening attendance, doctor’s empathy, and medical satisfaction. The results of the descriptive analysis indicated that cancer stigma was positively associated with self-perception of aging, anger, internal attributions, stressful life events, self-perceived burden, and sleep dysfunction, while negatively associated with patient-provider communication and sleep quality.

Conclusion

Healthcare staff should pay attention to the identified correlates of cancer stigma. The results of our research can inform the design of interventions to reduce stigma and to improve clinical outcomes in people with cancer.
Appendix
Available only for authorised users
Literature
1.
19.
go back to reference Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum Associates, Publishers, Hillsdale Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum Associates, Publishers, Hillsdale
20.
go back to reference Rosenthal R (1994) Parametric measures of effect size. In: The handbook of research synthesis. Russell Sage Foundation, New York, pp 231–244 Rosenthal R (1994) Parametric measures of effect size. In: The handbook of research synthesis. Russell Sage Foundation, New York, pp 231–244
27.
go back to reference Anderson NH, Schofield P, Aranda S, Chambers S, Krishnasamy M, Ball D, Michael M, Kenny P, Lipson-Smith R, Stubbins I, Ugalde A (2014) Social constraint amongst people with advanced cancer: a correlate with stigmatisation and anxiety. Asia-Pacific Journal of Clinical Oncology 10:128–264. https://doi.org/10.1111/ajco.12332CrossRef Anderson NH, Schofield P, Aranda S, Chambers S, Krishnasamy M, Ball D, Michael M, Kenny P, Lipson-Smith R, Stubbins I, Ugalde A (2014) Social constraint amongst people with advanced cancer: a correlate with stigmatisation and anxiety. Asia-Pacific Journal of Clinical Oncology 10:128–264. https://​doi.​org/​10.​1111/​ajco.​12332CrossRef
30.
go back to reference Shen MJ, Coups EJ, Li Y, Holland JC, Hamann HA, Ostroff JS (2015) The role of posttraumatic growth and timing of quitting smoking as moderators of the relationship between stigma and psychological distress among lung cancer survivors who are former smokers. Psychooncology 24(6):683–690. https://doi.org/10.1002/pon.3711CrossRefPubMed Shen MJ, Coups EJ, Li Y, Holland JC, Hamann HA, Ostroff JS (2015) The role of posttraumatic growth and timing of quitting smoking as moderators of the relationship between stigma and psychological distress among lung cancer survivors who are former smokers. Psychooncology 24(6):683–690. https://​doi.​org/​10.​1002/​pon.​3711CrossRefPubMed
33.
go back to reference Maguire R, Lewis L, McPhelim J, Cataldo J, Milroy R, Woods K, Perham M (2017) The relationship between lung cancer stigma and patient reported outcomes. Journal of Thoracic Oncology 12(1):S300CrossRef Maguire R, Lewis L, McPhelim J, Cataldo J, Milroy R, Woods K, Perham M (2017) The relationship between lung cancer stigma and patient reported outcomes. Journal of Thoracic Oncology 12(1):S300CrossRef
38.
go back to reference Yang N, Cao Y, Li X, Li S, Yan H, Geng Q (2018) Mediating effects of patients’ stigma and self-efficacy on relationships between doctors’ empathy abilities and patients’ cellular immunity in male breast cancer patients. Medical science monitor : international medical journal of experimental and clinical research 24:3978–3986. https://doi.org/10.12659/msm.910794CrossRef Yang N, Cao Y, Li X, Li S, Yan H, Geng Q (2018) Mediating effects of patients’ stigma and self-efficacy on relationships between doctors’ empathy abilities and patients’ cellular immunity in male breast cancer patients. Medical science monitor : international medical journal of experimental and clinical research 24:3978–3986. https://​doi.​org/​10.​12659/​msm.​910794CrossRef
43.
go back to reference Wong CCY, Pan-Weisz BM, Pan-Weisz TM, Yeung NCY, Mak WWS, Lu Q (2019) Self-stigma predicts lower quality of life in Chinese American breast cancer survivors: exploring the mediating role of intrusive thoughts and posttraumatic growth. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 28(10):2753–2760. https://doi.org/10.1007/s11136-019-02213-wCrossRef Wong CCY, Pan-Weisz BM, Pan-Weisz TM, Yeung NCY, Mak WWS, Lu Q (2019) Self-stigma predicts lower quality of life in Chinese American breast cancer survivors: exploring the mediating role of intrusive thoughts and posttraumatic growth. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 28(10):2753–2760. https://​doi.​org/​10.​1007/​s11136-019-02213-wCrossRef
44.
go back to reference Wu IHC, Tsai W, McNeill LH, Lu Q (2019) The associations of self-stigma, social constraints, and sleep among Chinese American breast cancer survivors. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer. 28:3935–3944. https://doi.org/10.1007/s00520-019-05233-xCrossRef Wu IHC, Tsai W, McNeill LH, Lu Q (2019) The associations of self-stigma, social constraints, and sleep among Chinese American breast cancer survivors. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer. 28:3935–3944. https://​doi.​org/​10.​1007/​s00520-019-05233-xCrossRef
45.
go back to reference Yeung NCY, Lu Q, Mak WWS (2019) Self-perceived burden mediates the relationship between self-stigma and quality of life among Chinese American breast cancer survivors. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 27(9):3337–3345. https://doi.org/10.1007/s00520-018-4630-2CrossRef Yeung NCY, Lu Q, Mak WWS (2019) Self-perceived burden mediates the relationship between self-stigma and quality of life among Chinese American breast cancer survivors. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 27(9):3337–3345. https://​doi.​org/​10.​1007/​s00520-018-4630-2CrossRef
Metadata
Title
Correlates of stigma for patients with cancer: a systematic review and meta-analysis
Authors
Zehao Huang
Ting Yu
Siyu Wu
Ailing Hu
Publication date
01-03-2021
Publisher
Springer Berlin Heidelberg
Published in
Supportive Care in Cancer / Issue 3/2021
Print ISSN: 0941-4355
Electronic ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-020-05780-8

Other articles of this Issue 3/2021

Supportive Care in Cancer 3/2021 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine