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.

Messina R., Iommi M., Rucci P., Reno C., Fantini M.P., Lunghi C., et al. (2022). Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study. ACTA DIABETOLOGICA, 59(1), 95-104 [10.1007/s00592-021-01791-x].

Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study

Messina R.
Primo
;
Iommi M.
Secondo
;
Rucci P.;Reno C.;Fantini M. P.;Lunghi C.
Membro del Collaboration Group
;
Altini M.;Bravi F.;Rosa S.;
2022

Abstract

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.
2022
Messina R., Iommi M., Rucci P., Reno C., Fantini M.P., Lunghi C., et al. (2022). Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study. ACTA DIABETOLOGICA, 59(1), 95-104 [10.1007/s00592-021-01791-x].
Messina R.; Iommi M.; Rucci P.; Reno C.; Fantini M.P.; Lunghi C.; Altini M.; Bravi F.; Rosa S.; Nicolucci A.; Di Bartolo P.
File in questo prodotto:
File Dimensione Formato  
Messina et al. 2021 Acta Diabetologica.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 1.38 MB
Formato Adobe PDF
1.38 MB Adobe PDF Visualizza/Apri
592_2021_1791_MOESM1_ESM.docx

accesso aperto

Tipo: File Supplementare
Licenza: Licenza per Accesso Aperto. Altra tipologia di licenza compatibile con Open Access
Dimensione 27.08 kB
Formato Microsoft Word XML
27.08 kB Microsoft Word XML Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/844721
Citazioni
  • ???jsp.display-item.citation.pmc??? 7
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 13
social impact