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The relationship between stigma and psychological distress among people with diabetes: a meta-analysis
BACKGROUND & AIMS: Diabetes may perceive or experience varying degrees of stigma and psychological distress. The association between diabetes-related stigma and psychological distress has been examined in many studies, but no research has used a quantitative synthesis method to investigate the s...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463375/ https://www.ncbi.nlm.nih.gov/pubmed/37620853 http://dx.doi.org/10.1186/s40359-023-01292-2 |
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author | Guo, Xiajun Wu, Sijia Tang, Haishan Li, Yuanyuan Dong, Wanglin Lu, Guangli Liang, Shuang Chen, Chaoran |
author_facet | Guo, Xiajun Wu, Sijia Tang, Haishan Li, Yuanyuan Dong, Wanglin Lu, Guangli Liang, Shuang Chen, Chaoran |
author_sort | Guo, Xiajun |
collection | PubMed |
description | BACKGROUND & AIMS: Diabetes may perceive or experience varying degrees of stigma and psychological distress. The association between diabetes-related stigma and psychological distress has been examined in many studies, but no research has used a quantitative synthesis method to investigate the severity of this association and the moderators of the relationship. Thus, we conducted a meta-analysis to quantitatively integrate previous findings to identify the magnitude of the association between stigma and psychological distress among people with diabetes. REVIEW METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we systematically searched four English academic databases (PubMed, Embase, Web of Science, and PsycINFO) and three Chinese databases (China National Knowledge Infrastructure [CNKI], WANFANG Data, China Science and Technology Journal Database [VIP]). The databases were searched from the inception of each database to the end of March 2023. The pooled correlation coefficient of the association between stigma and psychological distress among people with diabetes was calculated by a random effects model using Stata software (version 17.0), and several moderators that impacted this relationship were identified. RESULTS: Eligible studies (N = 19) with a total of 12,777 participants were analysed. The pooled correlation was high between diabetes-related stigma and psychological distress (r = 0.50, 95% CI: [0.43–0.57]). Moreover, the association was moderated by the diabetes stigma measurement tools and diabetes distress measurement tools used. However, the relationship was not moderated by type of diabetes, age, gender, geographical location, or type of stigma. CONCLUSIONS: The results of the meta-analysis showed that stigma is strongly related to psychological distress among people with diabetes. Longitudinal or experimental research should be expanded in the future to further identify the causal pathways in the relationship between diabetes stigma and diabetes distress. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40359-023-01292-2. |
format | Online Article Text |
id | pubmed-10463375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104633752023-08-30 The relationship between stigma and psychological distress among people with diabetes: a meta-analysis Guo, Xiajun Wu, Sijia Tang, Haishan Li, Yuanyuan Dong, Wanglin Lu, Guangli Liang, Shuang Chen, Chaoran BMC Psychol Research BACKGROUND & AIMS: Diabetes may perceive or experience varying degrees of stigma and psychological distress. The association between diabetes-related stigma and psychological distress has been examined in many studies, but no research has used a quantitative synthesis method to investigate the severity of this association and the moderators of the relationship. Thus, we conducted a meta-analysis to quantitatively integrate previous findings to identify the magnitude of the association between stigma and psychological distress among people with diabetes. REVIEW METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we systematically searched four English academic databases (PubMed, Embase, Web of Science, and PsycINFO) and three Chinese databases (China National Knowledge Infrastructure [CNKI], WANFANG Data, China Science and Technology Journal Database [VIP]). The databases were searched from the inception of each database to the end of March 2023. The pooled correlation coefficient of the association between stigma and psychological distress among people with diabetes was calculated by a random effects model using Stata software (version 17.0), and several moderators that impacted this relationship were identified. RESULTS: Eligible studies (N = 19) with a total of 12,777 participants were analysed. The pooled correlation was high between diabetes-related stigma and psychological distress (r = 0.50, 95% CI: [0.43–0.57]). Moreover, the association was moderated by the diabetes stigma measurement tools and diabetes distress measurement tools used. However, the relationship was not moderated by type of diabetes, age, gender, geographical location, or type of stigma. CONCLUSIONS: The results of the meta-analysis showed that stigma is strongly related to psychological distress among people with diabetes. Longitudinal or experimental research should be expanded in the future to further identify the causal pathways in the relationship between diabetes stigma and diabetes distress. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40359-023-01292-2. BioMed Central 2023-08-24 /pmc/articles/PMC10463375/ /pubmed/37620853 http://dx.doi.org/10.1186/s40359-023-01292-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Guo, Xiajun Wu, Sijia Tang, Haishan Li, Yuanyuan Dong, Wanglin Lu, Guangli Liang, Shuang Chen, Chaoran The relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
title | The relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
title_full | The relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
title_fullStr | The relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
title_full_unstemmed | The relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
title_short | The relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
title_sort | relationship between stigma and psychological distress among people with diabetes: a meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463375/ https://www.ncbi.nlm.nih.gov/pubmed/37620853 http://dx.doi.org/10.1186/s40359-023-01292-2 |
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