Factors associated with the onset of major depressive disorder in adults with type 2 diabetes living in 12 different countries; results from the INTERPRET-DD prospective study

Article


Lloyd, C., Sartorius, N., Ahmed, H., Alvarez, A., Bahendeka, S., Bobrov, A., Burti, L., Chaturvedi, S., Gaebel, W., de Girolamo, G., Gondek, T., Guinzbourg, M., Heinze, M., Khan, A., Kiejna, A., Kokoszka, A., Lalic, N., Lecic-Tosevski, D., Mannucci, E., Mankovsky, B., Müssig, K., Mutiso, V., Ndetei, D., Nouwen, A., Rabbani, G., Srikanta, S., Starostina, E., Shevchuk, M., Taj, R., Valentini, U., van Dam, K., Vukovic, O. and Wölwer, W. 2020. Factors associated with the onset of major depressive disorder in adults with type 2 diabetes living in 12 different countries; results from the INTERPRET-DD prospective study. Epidemiology and Psychiatric sciences. 29, pp. 1-9. https://doi.org/10.1017/S2045796020000438
TypeArticle
TitleFactors associated with the onset of major depressive disorder in adults with type 2 diabetes living in 12 different countries; results from the INTERPRET-DD prospective study
AuthorsLloyd, C., Sartorius, N., Ahmed, H., Alvarez, A., Bahendeka, S., Bobrov, A., Burti, L., Chaturvedi, S., Gaebel, W., de Girolamo, G., Gondek, T., Guinzbourg, M., Heinze, M., Khan, A., Kiejna, A., Kokoszka, A., Lalic, N., Lecic-Tosevski, D., Mannucci, E., Mankovsky, B., Müssig, K., Mutiso, V., Ndetei, D., Nouwen, A., Rabbani, G., Srikanta, S., Starostina, E., Shevchuk, M., Taj, R., Valentini, U., van Dam, K., Vukovic, O. and Wölwer, W.
Abstract

Aims
To examine the factors that associated with changes in depression in people with type 2 diabetes living in 12 different countries.
Methods
People with type 2 diabetes treated in out-patient settings aged 18-65 years underwent a psychiatric assessment to diagnose Major Depressive Disorder (MDD) at baseline and follow-up. At both time points participants completed the Patient Health Questionnaire (PHQ-9), the WHO 5-item Well-being scale (WHO-5) and the Problem Areas in Diabetes (PAID) scale which measures diabetes-related distress. A composite stress score (CSS) (the occurrence of stressful life events and their reported degree of 'upset') between baseline and follow-up was calculated. Demographic data and medical record information were collected. Separate regression analyses were conducted with MDD and PHQ-9 scores as the dependent variables.
Results
In total there were 7.4% (120) incident cases of MDD with 81.5% (1317) continuing to remain free of a diagnosis of MDD. Univariate analyses demonstrated that those with MDD were more likely to be female, less likely to be physically active, more likely to have diabetes complications at baseline and have higher CSS. Mean scores for the WHO-5, PAID and PHQ-9 were poorer in those with incident MDD compared with those who had never had a diagnosis of MDD. Regression analyses demonstrated that higher PHQ-9, lower WHO-5 scores and greater CSS were significant predictors of incident MDD. Significant predictors of PHQ-9 were baseline PHQ-9 score, WHO-5, PAID and CSS.
Conclusion
This study demonstrates the importance of psychosocial factors in addition to physiological variables in the development of depressive symptoms and incident MDD in people with type 2 diabetes. Stressful life events, depressive symptoms and diabetes-related distress all play a significant role which has implications for practice. A more holistic approach to care, which recognises the interplay of these psychosocial factors may help to mitigate their impact on diabetes self-management as well as MDD, thus early screening and treatment for symptoms is recommended.

Research GroupApplied Health Psychology group
PublisherCambridge University Press (CUP)
JournalEpidemiology and Psychiatric sciences
ISSN2045-7960
Electronic2045-7979
Publication dates
Online02 Jun 2020
Publication process dates
Deposited30 Apr 2020
Accepted19 Apr 2020
Output statusPublished
Publisher's version
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Copyright Statement

COPYRIGHT: © The Author(s), 2020. Published by Cambridge University Press
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Digital Object Identifier (DOI)https://doi.org/10.1017/S2045796020000438
LanguageEnglish
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