Diabetes mellitus is a complex and chronic condition that requires lifelong management and interaction with a healthcare system. Failure to control risk factors through preventive care may lead to a host of diabetes-related complications. Underperforming healthcare systems and poor awareness among the general population/healthcare professionals has been suggested as reasons why so many patients remain undiagnosed. Due to the asymptomatic nature of early and even intermediate diabetes mellitus, several years may pass without any diagnosis before complications begin to manifest. Other factors include age, gender, ethnicity, education, marital and unemployment status which may also increase the risk of developing morbidity and mortality associated with diabetes mellitus. This review summarizes the current demographic risk factors and clinical characteristics associated with diabetes mellitus. A literature search was conducted using PubMed, MEDLINE, and Sabinet by using the following search terms: diabetes mellitus, risk factors, characteristics and complications.
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http://dx.doi.org/10.2147/IJGM.S226010 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Editorial Board of Jiangsu Medical Journal, the First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
Background: Gestational diabetes mellitus is hyperglycemia in special populations (pregnant women), however gestational diabetes mellitus (GDM) not only affects maternal health, but also has profound effects on offspring health. The prevalence of gestational diabetes in my country is gradually increasing.
Objective: To study the application effect of self-transcendence nursing model in GDM patients.
Lipids Health Dis
January 2025
Department of Cardiology, West China Hospital, Sichuan University West China School of Medicine, 37 Guoxue Road, Chengdu, Sichuan, 610041, China.
Background: Atrial fibrillation (AF) is the most prevalent arrhythmia encountered in clinical practice. Triglyceride glucose index (Tyg), a convenient evaluation variable for insulin resistance, has shown associations with adverse cardiovascular outcomes. However, studies on the Tyg index's predictive value for adverse prognosis in patients with AF without diabetes are lacking.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No.13, Hangkong Road, Qiaokou District, Wuhan City, 430030, China.
Objective: Understanding healthcare-seeking propensity is crucial for optimizing healthcare utilization, especially for patients with chronic conditions like hypertension or diabetes, given their substantial burden on healthcare systems globally. This study aims to evaluate hypertensive or diabetic patients' healthcare-seeking propensity based on the severity of symptoms, categorizing symptoms as either major or minor. It also explores factors influencing healthcare-seeking propensity and examines whether healthcare-seeking propensity affects healthcare utilization and preventable hospitalizations.
View Article and Find Full Text PDFBMC Endocr Disord
January 2025
Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Background: The Weight-adjusted-waist index (WWI) has emerged as a predictive factor for a range of metabolic disorders. To date, the predictive value of the WWI in relation to sarcopenia in individuals with diabetics has not been extensively explored. This study aims to investigate the impact of the WWI on the prevalence of sarcopenia among patients with type 2 diabetes mellitus (T2DM).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, 04763, Republic of Korea.
To evaluate the incidence and risk of cardiovascular disease (CVD) among Korean patients with systemic lupus erythematosus (SLE) comparing them to diabetes patients and the general population. This nationwide cohort study focused on incident SLE patients aged over 40 years, matched with diabetes patients and the general population (1:4:4 ratio). CVD was defined as ischaemic heart disease, ischaemic stroke, and cardiac arrest.
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