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Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life
Anxiety and depression are commonly found in patients with diabetes, but little is known about how the anxiety and depression symptoms of diabetes patients and the health-related quality of life (HRQoL) over time influence each other. Therefore, we conducted a survey among patients with diabetes (T1...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239869/ https://www.ncbi.nlm.nih.gov/pubmed/32433470 http://dx.doi.org/10.1038/s41598-020-57647-x |
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author | Liu, Xiaona Haagsma, Juanita Sijbrands, Eric Buijks, Hanneke Boogaard, Laura Mackenbach, Johan P. Erasmus, Vicki Polinder, Suzanne |
author_facet | Liu, Xiaona Haagsma, Juanita Sijbrands, Eric Buijks, Hanneke Boogaard, Laura Mackenbach, Johan P. Erasmus, Vicki Polinder, Suzanne |
author_sort | Liu, Xiaona |
collection | PubMed |
description | Anxiety and depression are commonly found in patients with diabetes, but little is known about how the anxiety and depression symptoms of diabetes patients and the health-related quality of life (HRQoL) over time influence each other. Therefore, we conducted a survey among patients with diabetes (T1) and repeated the survey after 3 months (T2). Linear regression models and cross-lagged structural equation models were used to analyze the associations between anxiety and depression symptoms and HRQoL within and across time intervals. Correcting for baseline index and potential confounders, the HRQoL index at T2 reflected the change in anxiety/depression between T1 and T2 more than anxiety/depression at T1 (P < 0.05). Similarly, anxiety and depression at T2 reflected the change in the EQ-5D index over time more than the index at baseline (P < 0.05). Our longitudinal data fitted well in a cross-lagged model with bi-directional pathways of associations between anxiety and HRQoL, as well as depression and HRQoL, among adult patients with diabetes (x(2)/df = 1.102, P = 0.256; CFI = 1.000, RMSEA = 0.030). Our findings support early detection of anxiety and depression, as well as comprehensive efforts improving HRQoL for patients with diabetes. |
format | Online Article Text |
id | pubmed-7239869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72398692020-05-29 Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life Liu, Xiaona Haagsma, Juanita Sijbrands, Eric Buijks, Hanneke Boogaard, Laura Mackenbach, Johan P. Erasmus, Vicki Polinder, Suzanne Sci Rep Article Anxiety and depression are commonly found in patients with diabetes, but little is known about how the anxiety and depression symptoms of diabetes patients and the health-related quality of life (HRQoL) over time influence each other. Therefore, we conducted a survey among patients with diabetes (T1) and repeated the survey after 3 months (T2). Linear regression models and cross-lagged structural equation models were used to analyze the associations between anxiety and depression symptoms and HRQoL within and across time intervals. Correcting for baseline index and potential confounders, the HRQoL index at T2 reflected the change in anxiety/depression between T1 and T2 more than anxiety/depression at T1 (P < 0.05). Similarly, anxiety and depression at T2 reflected the change in the EQ-5D index over time more than the index at baseline (P < 0.05). Our longitudinal data fitted well in a cross-lagged model with bi-directional pathways of associations between anxiety and HRQoL, as well as depression and HRQoL, among adult patients with diabetes (x(2)/df = 1.102, P = 0.256; CFI = 1.000, RMSEA = 0.030). Our findings support early detection of anxiety and depression, as well as comprehensive efforts improving HRQoL for patients with diabetes. Nature Publishing Group UK 2020-05-20 /pmc/articles/PMC7239869/ /pubmed/32433470 http://dx.doi.org/10.1038/s41598-020-57647-x Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Xiaona Haagsma, Juanita Sijbrands, Eric Buijks, Hanneke Boogaard, Laura Mackenbach, Johan P. Erasmus, Vicki Polinder, Suzanne Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
title | Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
title_full | Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
title_fullStr | Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
title_full_unstemmed | Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
title_short | Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
title_sort | anxiety and depression in diabetes care: longitudinal associations with health-related quality of life |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239869/ https://www.ncbi.nlm.nih.gov/pubmed/32433470 http://dx.doi.org/10.1038/s41598-020-57647-x |
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