Akademik Veri Yönetim Sistemi
17th International Primary Care Diabetes Europe Conference: The Changing Paradigm in Primary Care Diabetes Management, Barcelona, İspanya, 6 - 08 Haziran 2024, ss.24-25, (Özet Bildiri)
Assessing the Prevalence of Depression and Its Association with Type 2 Diabetes Mellitus in Primary Care: A Cross-Sectional Study from 9 residency training Units in family health in Istanbul Pınar Topsever1 , ACU Family Medicine Research Steering Group1 1 Acibadem Mehmet Ali Aydınlar University School of Medicine, Dept. of Family Medicine Aim(s) or purpose: The association between Type 2 Diabetes Mellitus (T2DM) and depression is a complex matter, with evidence suggesting bidirectional influences, where depression may exacerbate T2DM outcomes and vice versa, underscoring the importance of understanding this relationship for comprehensive patient care. This study aims to evaluate the prevalence of depression among adults attending nine family health units in two districts of Istanbul served by residents in family medicine. Depression will be screened for via two case-finding questions (PHQ-2), and its correlation with T2DM will be explored. Design and method: For this cross-sectional study, a representative sample size with n = 422 (margin of error 0.05%, power 0.8) stratified by health unit population size and sex was calculated. After giving their informed consent, adults (age ≥ 18 years) presenting to the family health units without a known diagnosis of depression (verified by ICD-10 codes and/or antidepressant therapy) will be recruited by convenience sampling. Data collection will encompass sociodemographic, clinical, and lifestyle factors. Participants will complete the PHQ-2 and the Beck Depression Inventory for Primary Care (BDI-PC). Chronic conditions (verified by ICD-10 codes and/ 25 or related pharmacotherapy) with an emphasis on T2DM as the index disease will be extracted from medical records. T2DM-specific variables (diabetes duration, HbA1c, BMI, blood pressure, smoking, and exercise habits) will also be assessed. The study will utilize a range of statistical methods, including descriptive and correlation analyses, in order to thoroughly explore patterns and relationships within the dataset. Results: The findings will shed light on the performance of the PHQ-2 in identifying depression in a primary care setting. Moreover, the study will provide insight into the association between depression and T2DM, thereby facilitating holistic approaches to patient care. Conclusions: By integrating mental health screening into routine primary care practice and addressing the complex interplay between mental and physical health conditions, this research aims to improve the outcomes and quality of life for patients.