Assessment of Depression, Anxiety, and Stress in Patients Having Type II Diabetes Mellitus Attending Secondary Care Hospital

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DOI: 10.21522/TIJPH.2013.12.04.Art012

Authors : Vinod Kumar Nelson, Siddhartha Lolla, Reshma Ajay, Challa Srilekha, Emani Sai Sri Jayanthi, Nithish C, Atchuta Kumar K, Rajalakshmi subburam

Abstract:

Depression, diabetes mellitus, and anxiety are metabolic diseases causing chronic hyperglycemia and mood disorders and triggered by the body's fight or flight response to danger, respectively. Recognizing the pervasiveness of the factors mentioned above among the patients who suffer from Type 2 diabetes mellitus, determining how these conditions impair those people's quality of life, and evaluating the impact on patients' glucose levels is the main aim of this study. Over six months, a study was conducted among 150 patients at Vijaya Marie Hospital, Khairtabad, Hyderabad. The individuals having a history of Type 2 diabetes, as well as other comorbid illnesses, were included. Patients with prior clinical depression, anxiety, or stress were excluded. Data from all patients was gathered and analyzed using the Graph Pad Prism software. Among the 150 diabetic patients, age groups between 41 and 50 are more prevalent, 63 of whom were men and 87 of whom were women. According to their HbA1c levels, Type 2 diabetes mellitus is typically treated with lifestyle changes, pharmacological alterations, or both. In our study, people change their lifestyles in addition to taking different oral medications. The study also found that highly severe anxiety (27.3%), moderate depression (932%), and stress levels within normal limits (36%) were prevalent among the patients. The study found a significant association between a patient's Type 2 diabetes mellitus (DM) blood glucose levels and their mental state, with severe anxiety being an essential factor. Mental stress alters glycaemic levels, negatively impacting patients' quality of life and triggering diabetic distress, indicating that depression, anxiety, and stress can predict Type 2 DM risk.

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