Objective: To assess the association between dietary patterns and glycemic control among patients with type II diabetes mellitus (T2DM).
Design: A cross-sectional study. SITE: The 2015-2018 National Health and Nutrition Examination Survey (NHANES).
Participants: A total of 1646 T2DM patients were included, of whom 854 were hyperglycemia.
Methods: Main dietary patterns were identified using the sparse principal components analysis (SPCA). Logistic regression analysis was applied to investigate the association between each dietary pattern and the risk of hyperglycemia with odds ratios (OR) and 95% confidence intervals (CI). SPCA analysis yielded five significant principal components (PC), which represented five main dietary patterns.
Results: PC1, characterized by a high intake of sweets, red meat and processed meat, was associated with higher odds of hyperglycemia in patients who underwent hyperglycemic drug or insulin treatments (OR: 1.71, 95% CI: 1.10-2.64). PC5, characterized by high in red meat, while low in coffee, sweets, and high-fat dairy consumption. The relationship between the PC5 and hyperglycemia was marginal significance (OR: 0.63, 95% CI: 0.38-1.02). PC2 was characterized by a high consumption of green vegetables, other vegetables, and whole grains, and low intake of potatoes and processed meat. In patients with the hyperglycemic drug and insulin free, higher PC2 levels were related to lower odds of hyperglycemia (OR: 0.45, 95% CI: 0.21-0.96).
Conclusions: High intake of sweets, red meat, and processed meat might be detrimental to glycemic control in patients with drug-treated T2DM. High in red meat, while low in coffee, sweets, and high-fat dairy consumption may be beneficial to glycemic control. In addition, high consumption of green vegetables, other vegetables, and whole grains, and low intake of potatoes and processed meat may be good for glycemic control in patients without drug-treated T2DM.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11421999 | PMC |
| http://dx.doi.org/10.1016/j.aprim.2024.103075 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cardio-renal effect of dapagliflozin and dapagliflozin- saxagliptin combination on CD34 + ve hematopoietic stem cells (HSCs) and podocyte specific markers in type 2 diabetes (T2DM) subjects: a randomized trial.
Stem Cell Res Ther
January 2025
Department of Medicine, Veterans Affairs Medical Center, Washington, DC, USA.
Introduction: Effects of Dapagliflozin (Dapa) and Dapagliflozin-Saxagliptin combination (Combo) was examined on peripheral blood derived CD34 + Hematopoetic Stem Cells (HSCs) as a cellular CVD biomarker. Both Dapa (a sodium-glucose co-transporter 2 or SGLT2, receptor inhibitor) and Saxagliptin (a Di-peptydl-peptidase-4 or DPP4 enzyme inhibitor) are commonly used type 2 diabetes mellitus or T2DM medications, however the benefit of using the combination has not been evaluated for cardio-renal risk assessment, in a real-life practice setting, compared to a placebo.
Hypothesis: We hypothesized that Dapa will improve the outcomes when compared to placebo and the Combo maybe even more beneficial.
Association of long-term weight management pharmacotherapy with multiple health outcomes: an umbrella review and evidence map.
Int J Obes (Lond)
January 2025
Center for Optometry, Gansu Provincial Hospital, Lanzhou, China.
Background: Multiple meta-analyses (MAs) have demonstrated that six pharmacotherapies, including orlistat, liraglutide, phentermine/topiramate, naltrexone/bupropion, semaglutide, and tirzepatide, improve weight loss and weight maintenance. However, few studies have synthesized and evaluated the quality of this evidence.
Objective: To identify the relevant MAs of randomized clinical trials (RCTs) that explored the association between the six pharmacotherapies and obesity-related health outcomes and adverse events (AEs).
Introduction There are controversies about whether women with polycystic ovary syndrome (PCOS) show a disproportionately higher visceral adiposity, and its relevance to their higher cardiometabolic risks. We investigated in women of Asian Indian descent in Mauritius, a population inherently prone to abdominal obesity, whether those with PCOS will show a more adverse cardiometabolic risk profile that could be explained by abnormalities in fat distribution. Methods Young women newly diagnosed with PCOS (n=25) were compared with a reference control cohort (n =139) for the following measurements made after an overnight fast: body mass index (BMI), waist circumference (WC), body composition by dual-energy x-ray absorptiometry, blood pressure and blood assays for glycemic (glucose, HbA1c, insulin) and lipid (triglycerides, cholesterols) profiles.
View Article and Find Full Text PDFBackground: The use of automated insulin delivery (AID) devices is now widespread in the management of type 1 diabetes (T1D), being used for younger and older children, adolescents and adults. The integration of insulin pumps with continuous glucose monitors (CGM) and smart management software in AID systems has significantly improved glycemic management compared to the separate application of each diabetes technology. The efficacy of AID systems has been demonstrated in randomized controlled trials (RCTs) but it is their application in real-world studies that fully demonstrates their impact for people with T1D.
View Article and Find Full Text PDFEpidemiologic threats and outcome of evolving COVID-19-associated mucormycosis from a referral hospital in Egypt.
J Infect Dev Ctries
December 2024
Chest Dpt., Ahmed Maher Teaching Hospital, GOTHI, Cairo, Egypt.
Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.
Methodology: The study included 64 CAM patients from a referral hospital for CAM and a similar number of matched controls from COVID-19 patients who did not develop CAM.
Want 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!