THE BIDIRECTIONAL RELATIONSHIP BETWEEN DIABETES MELLITUS AND DEPRESSION: A SYSTEMATIC REVIEW OF BIOLOGICAL AND PSYCHOLOGICAL MECHANISMS
DOI:
https://doi.org/10.31435/ijitss.3(51).2026.6519Keywords:
Diabetes Mellitus, Depression, Bidirectional Relationship, Comorbidity, Inflammation, HPA Axis, Insulin Resistance, Diabetes Distress, Glycemic ControlAbstract
Diabetes mellitus and depression are two major global health challenges that frequently co-occur, with depression being two to three times more prevalent in individuals with diabetes than in the general population. Current evidence confirms a bidirectional relationship, where depression increases the risk of developing type 2 diabetes by 34%, and diabetes elevates the risk of incident depression by 28%. This systematic review explores the complex biological and psychological mechanisms underlying this interplay. Biological pathways include chronic low-grade inflammation characterized by elevated cytokines (IL-6, TNF-α, CRP), dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis resulting in hypercortisolemia, and impaired neuroplasticity linked to reduced levels of brain-derived neurotrophic factor (BDNF). Additionally, central insulin resistance and neurotransmitter alterations in serotonin and dopamine systems further exacerbate both conditions. Psychological and behavioral mediators include the specific emotional burden of diabetes distress, the significant self-management burden associated with insulin therapy and glucose monitoring, and lifestyle factors such as sedentary behavior, poor diet, and sleep disturbances. The presence of comorbid depression is a critical predictor of poor glycemic control (higher HbA1c), increased microvascular complications (retinopathy, nephropathy), and higher mortality rates. Consequently, clinical management must transition toward integrated, multidisciplinary care models that prioritize universal screening and collaborative treatment strategies. Future research should focus on longitudinal studies and the validation of biomarkers to enable precision medicine and improve the long-term prognosis for these patients.
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Copyright (c) 2026 Vladyslav Romaniuk, Agnieszka Benecka, Zuzanna Wieczorek, Alicja Benecka, Urszula Szuleta, Wiktoria Zawada, Natalia Prankiewicz, Jakub Pietrończyk, Krystian Kaczmarek, Zofia Jadwiga Leszczyńska, Iga Tartas

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