Objective: To determine whether metformin or lifestyle modification can lower rates of all-cause and cause-specific mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study.
Research Design And Methods: From 1996 to 1999, 3,234 adults at high risk for type 2 diabetes were randomized to an intensive lifestyle intervention, masked metformin, or placebo. Placebo and lifestyle interventions stopped in 2001, and a modified lifestyle program was offered to everyone, but unmasked study metformin continued in those originally randomized. Causes of deaths through 31 December 2018 were adjudicated by blinded reviews. All-cause and cause-specific mortality hazard ratios (HRs) were estimated from Cox proportional hazards regression models and Fine-Gray models, respectively.
Results: Over a median of 21 years (interquartile range 20-21), 453 participants died. Cancer was the leading cause of death ( = 170), followed by cardiovascular disease ( = 131). Compared with placebo, metformin did not influence mortality from all causes (HR 0.99 [95% CI 0.79, 1.25]), cancer (HR 1.04 [95% CI 0.72, 1.52]), or cardiovascular disease (HR 1.08 [95% CI 0.70, 1.66]). Similarly, lifestyle modification did not impact all-cause (HR 1.02 [95% CI 0.81, 1.28]), cancer (HR 1.07 [95% CI 0.74, 1.55]), or cardiovascular disease (HR 1.18 [95% CI 0.77, 1.81]) mortality. Analyses adjusted for diabetes status and duration, BMI, cumulative glycemic exposure, and cardiovascular risks yielded results similar to those for all-cause mortality.
Conclusions: Cancer was the leading cause of mortality among adults at high risk for type 2 diabetes. Although metformin and lifestyle modification prevented diabetes, neither strategy reduced all-cause, cancer, or cardiovascular mortality rates.
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http://dx.doi.org/10.2337/dc21-1046 | DOI Listing |
BMC Nutr
December 2024
Epsom General Hospital, Epsom and St Helier University Hospitals NHS, Epsom, United Kingdom.
Background: Experimental and clinical studies have suggested that symbiotics might effectively manage type 2 diabetes mellitus (T2DM) by modulating the intestinal microbiota. However, these studies' limited sources, small sample sizes, and varied study designs have led to inconsistent outcomes regarding glycaemic control. This study aimed to investigate the effects of symbiotics on the anthropometric measures, glycaemic control, and lipid profiles of patients with T2DM.
View Article and Find Full Text PDFBMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
View Article and Find Full Text PDFEndocrinol Diabetes Nutr (Engl Ed)
December 2024
Servicio de Endocrinologia i Nutrició, Hospital Universitari Arnau de Vilanova, Lleida, Spain; Institut de Recerca Biomèdica de Lleida (IRB Lleida), Universitat de Lleida, Lleida, Spain.
Alzheimers Dement
December 2024
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Introduction: Type 2 diabetes increases the risk of Alzheimer's disease (AD) dementia. Insulin signaling dysfunction exacerbates tau protein phosphorylation, a hallmark of AD pathology. However, the comprehensive impact of diabetes on patterns of AD-related phosphoprotein in the human brain remains underexplored.
View Article and Find Full Text PDFAm J Clin Nutr
December 2024
MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom. Electronic address:
Background: Small nutritional preloads can reduce postprandial glucose excursions in individuals with and without metabolic syndrome or T2D. However, most studies have focused on preloads administered before single meals and have predominantly used protein-based preloads.
Objective: To investigate the effects of sequential consumption of medium chain triglycerides (MCT) and whey protein isolate (WPI) preloads before breakfast lunch and dinner on postprandial, diurnal and 24h glycaemia in individuals with T2D.
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