Objective: Structured diabetes education for patients is a cornerstone of therapy; it empowers the patients by giving them appropriate tools for the self-management of the illness. The objective of this work was to determine how substance use disorder influences the outcome of structured diabetes education in patients with type 2 diabetes mellitus, and whether patients with substance use disorder are less likely to benefit because of their addiction issues.
Methods: Only clinical trials involving substance use, which were randomized, in the context of type 2 diabetes mellitus were included.
Results: Literature was only available for alcohol use disorder, and there were no studies available on any other recreational substance use disorders and its effects on structured diabetes education. Out of 3 relevant studies, in the context of alcohol use disorder, 2 studies identified alcohol use by the patients as a limiting factor in receiving structured diabetes education. One study did not show any impact of alcohol on structured diabetes education.
Conclusions: More high-quality randomized controlled trials with better sample sizes are required to say with confidence if alcohol use affects the patient's ability to participate in structured educational programs for type 2 diabetes mellitus management.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jcjd.2020.05.010 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Dates fruit effects on dyslipidemia among patients with Type-2 diabetes mellitus: A systematic review and meta-analysis of randomized trials.
Pak J Med Sci
January 2025
Amirah Alhowiti Assistant Professor of Family Medicine, Department of Family and Community Medicine, Faculty of Medicine, University of Tabuk, Saudi Arabia.
Objectives: Dyslipidemias are major risk factors for cardiovascular disease, and other comorbidities. The focus on food and nutrition to prevent and treat cardiovascular risk factors including dyslipidemia is a paradigm shift. This is the first meta-analysis to assess the association of dates fruit and dyslipidemia in Type-2 diabetes.
View Article and Find Full Text PDFResearch on grading detection methods for diabetic retinopathy based on deep learning.
Pak J Med Sci
January 2025
Juan Chen, Department of Ophthalmology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Objective: To design a deep learning-based model for early screening of diabetic retinopathy, predict the condition, and provide interpretable justifications.
Methods: The experiment's model structure is designed based on the Vision Transformer architecture which was initiated in March 2023 and the first version was produced in July 2023 at Affiliated Hospital of Hangzhou Normal University. We use the publicly available EyePACS dataset as input to train the model.
Sweet or sour? A review of the Aspartame market landscape, carcinogenicity, and its socioeconomic impact.
J Food Sci Technol
January 2025
Amity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur, Rajasthan 303002 India.
Artificial sweeteners with almost zero calories are in high demand in the food and beverage industries due to an increase in diabetes and obesity cases throughout the globe. They vary in their chemical structures and sweetness intensity. The health concerns linked to the consumption of these additives have always been a matter of heated debate.
View Article and Find Full Text PDFCross-sectional study on prevalence and risk factors of undiagnosed type 2 diabetes among patients with hypertension attending St. Orsola Catholic Mission Hospital, Tharaka Nithi County, Kenya.
Pan Afr Med J
October 2024
Department of Community Health, School of Public Health, Amref International University, Nairobi, Kenya.
Introduction: according to the World Health Organization (WHO), Non-Communicable Diseases (NCD) were a major cause of death in 2022 accounting for 4 million (74%) of deaths worldwide. Diabetes mellitus and hypertension are the two illnesses that are not contagious but linked closely. The objective of the research was to establish the prevalence and risk factors of undiagnosed diabetes among patients with hypertension attending St.
View Article and Find Full Text PDFDeciphering the Topology of Sitagliptin Using an Integrated Approach.
ACS Omega
January 2025
Science Division, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Determining the structure of sitagliptin is crucial for ensuring its effectiveness and safety as a DPP-4 inhibitor used to treat type 2 diabetes. Accurate structure determination is vital for both drug development and maintaining quality control in manufacturing. This study integrates the advanced techniques of solid-state nuclear magnetic resonance (NMR) spectroscopy, three-dimensional (3D) electron diffraction, and density functional theory (DFT) calculations to investigate the structural intricacies of sitagliptin.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!