Aug 2026· International Journal of Innovative Technologies in Social Science· 0 citations· 28 references
TL;DR
Clinical management must transition toward integrated, multidisciplinary care models that prioritize universal screening and collaborative treatment strategies to enable precision medicine and improve the long-term prognosis for patients with diabetes mellitus.
Abstract
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.
Overall, the literature suggests that inflammation is relevant to depression in diabetes, particularly in type 2, but that this relationship is heterogeneous and shaped by diabetes type, sex, adiposity, and vascular burden.
Nathaniel J. Smail, J. Frisbee, S. Frisbee· Diabetes & vascular disease...· 0 citations
Background: Obesity has become a global civilization-related disease and constitutes an independent risk factor for numerous somatic disorders. Obesity can contribute to depression through low self-esteem, body image concerns, and stigmatization, while depression and chronic stress may promote obesity through emotional...
Adrian Kubicki, Małgorzata Maj, Natalia Niderla et al.· Journal of Education, Health...· 0 citations
Depression, anxiety, and higher odds of major cardiometabolic disorders were significantly associated, and IL-6 statistically mediated parts of these associations.
Asma Hallab, S. O'Bryant, Kristine Yaffe et al.· Scientific Reports· 0 citations
Clinically, routine metabolic screening in MDD could guide precision treatments targeting insulin pathways, particularly in those with metabolic dysfunction, and future studies considering the role of insulin, especially in those with insulin resistance, may enable development of novel therapeutics.
K. Palacek, O. Corbeil, Saguna Katyal et al.· Frontiers in Psychiatry· 0 citations
Depression and cardiovascular disease (CVD) are two of the heaviest burdens carried by modern medicine, and a growing body of evidence now suggests that they are linked by a bidirectional, mutually reinforcing relationship rather than by a simple cause-and-effect chain. Patients with major depressive disorder appear to...
Francesco Angeli, M. Armillotta, Luca Bergamaschi et al.· Journal of Clinical Medicine· 0 citations
Depression is associated with greater odds of prevalent diabetes, with systemic inflammation contributing to a small but significant proportion of the observed association.
Samuel Akyirem, J. Okyere, Jonathan Bayuo et al.· Biological Research for Nurs...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.