Cargando…
Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study
AIMS: Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758621/ https://www.ncbi.nlm.nih.gov/pubmed/34495396 http://dx.doi.org/10.1007/s00592-021-01791-x |
_version_ | 1784632947306921984 |
---|---|
author | Messina, Rossella Iommi, Marica Rucci, Paola Reno, Chiara Fantini, Maria Pia Lunghi, Carlotta Altini, Mattia Bravi, Francesca Rosa, Simona Nicolucci, Antonio Di Bartolo, Paolo |
author_facet | Messina, Rossella Iommi, Marica Rucci, Paola Reno, Chiara Fantini, Maria Pia Lunghi, Carlotta Altini, Mattia Bravi, Francesca Rosa, Simona Nicolucci, Antonio Di Bartolo, Paolo |
author_sort | Messina, Rossella |
collection | PubMed |
description | AIMS: Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality. METHODS: In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years. RESULTS: Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk. CONCLUSIONS: Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00592-021-01791-x. |
format | Online Article Text |
id | pubmed-8758621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
spelling | pubmed-87586212022-01-26 Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study Messina, Rossella Iommi, Marica Rucci, Paola Reno, Chiara Fantini, Maria Pia Lunghi, Carlotta Altini, Mattia Bravi, Francesca Rosa, Simona Nicolucci, Antonio Di Bartolo, Paolo Acta Diabetol Original Article AIMS: Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality. METHODS: In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years. RESULTS: Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk. CONCLUSIONS: Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00592-021-01791-x. Springer Milan 2021-09-08 2022 /pmc/articles/PMC8758621/ /pubmed/34495396 http://dx.doi.org/10.1007/s00592-021-01791-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . |
spellingShingle | Original Article Messina, Rossella Iommi, Marica Rucci, Paola Reno, Chiara Fantini, Maria Pia Lunghi, Carlotta Altini, Mattia Bravi, Francesca Rosa, Simona Nicolucci, Antonio Di Bartolo, Paolo Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study |
title | Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study |
title_full | Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study |
title_fullStr | Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study |
title_full_unstemmed | Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study |
title_short | Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study |
title_sort | is it time to consider depression as a major complication of type 2 diabetes? evidence from a large population-based cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758621/ https://www.ncbi.nlm.nih.gov/pubmed/34495396 http://dx.doi.org/10.1007/s00592-021-01791-x |
work_keys_str_mv | AT messinarossella isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT iommimarica isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT ruccipaola isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT renochiara isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT fantinimariapia isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT lunghicarlotta isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT altinimattia isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT bravifrancesca isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT rosasimona isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT nicolucciantonio isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy AT dibartolopaolo isittimetoconsiderdepressionasamajorcomplicationoftype2diabetesevidencefromalargepopulationbasedcohortstudy |