Optimizing diabetes management in patients with complex type 2 diabetes (T2DM) and obesity presents challenges. This study evaluates weight and HbA1c at 12 months (primary outcomes) and blood pressure, lipids, medication and lifestyle changes (secondary outcomes) in patients referred by a diabetes specialist (DSN) to the weight management intervention (Slimming World). Patients attended up to 12 or 24 funded weekly group sessions. The DSN recorded baseline and 12-month primary and secondary outcome data. A post-intervention questionnaire explored the lifestyle changes made. 69 patients achieved a mean weight loss of 5.5 (5.16) %, reduction in BMI [37.7(6.11) to 35.9 (6.30) kg/m, < 0.001] and HbA1c levels [62.8 (12.85) to 55.0 (13.02) mmol/mol, < 0.001] at 12 months. 81.2% reduced their HbA1c levels. Small reductions were observed in SBP, DBP and triglycerides, and six patients reduced their diabetes medications. Twenty patients completed the questionnaire: unhealthy snacking reduced ( < 0.001) and going for walks increased ( < 0.001) with fewer people avoiding moderate activity ( < 0.05). Despite being a chronic, progressive condition, referral to a community-based programme was successful in supporting patients with established T2DM improve their diet and activity levels, lose weight and improve their glycaemic control 12 months later with a small number able to reduce their medication.
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http://dx.doi.org/10.1002/edm2.45 | DOI Listing |
Sci Rep
December 2024
Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
The transition from secondary school to college or university is a well-known and well-studied risk period for weight and/or fat gain and not meeting the dietary recommendations. Higher education acts as a promising setting to implement nutrition interventions. An important condition for intervention success is that interventions are implemented as intended by the protocol and integrated in the institutional policy.
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December 2024
Department of Computing and Information Systems, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).
View Article and Find Full Text PDFJ Econ Entomol
December 2024
Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China.
Insects provide important pollination services for cops. While land use intensification has resulted in steep declines of wild pollinator diversity across agricultural landscapes, releasing managed honeybees has been proposed as a countermeasure. However, it remains uncertain whether managed honeybees can close the pollination gap of sunflower (Helianthus annuus L.
View Article and Find Full Text PDFBackground: It is essential to understand factors influencing young adult cardiovascular health (CVH) to reduce morbidity and mortality.
Objective: Evaluate longitudinal changes in CVH among young adults in a weight management intervention.
Methods: Life's Essential 8 (LE8) metrics were calculated for young adults with overweight and obesity enrolled in a randomized controlled trial (n = 459).
Ecol Lett
January 2025
School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Ecosystem models are often used to predict the consequences of management interventions in applied ecology and conservation. These models are often high-dimensional and nonlinear, yet limited data are available to calibrate or validate them. Consequently, their utility as decision-support tools is unclear.
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