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The article focuses on the potential of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) as a treatment for obesity and how they might fit into a comprehensive approach to managing this chronic condition. Topics include the limitations of dietary advice alone, the importance of a multi-disciplinary team approach, and the need for effective integration of GLP-1 RAs with other treatment options.

Background: Digital tools are increasingly used on a population level as a weight loss strategy for people living with overweight and obesity. Evidence supports the feasibility of digital tools for the management of obesity in a community setting, but there is only emerging evidence for the feasibility of such tools in specialist weight management services. No study has assessed the uptake of digital tools among patients awaiting their first appointment with a specialist weight management service., Objective: The objective of this study was to understand interest, acceptance, and engagement with a digital behavioral change platform to support specialist weight management., Methods: This was an observational study registered as a service innovation. All patients on the waiting list for a first appointment in the tier 3 weight management service at University Hospitals Coventry and Warwickshire National Health Service (NHS) Trust were eligible to access the NHS-approved digital tool. Data on interest and engagement with the digital tool were collected. Routine clinical data were used to describe patient demographics. Focus groups were held to explore patients' views on the use of digital tools as part of a specialist weight management service., Results: A total of 199 patients on the waiting list were informed about the available digital tool. Just over a half (n=102, 51.3%) of patients were interested in using the app, with over one-third (n=68, 34%) of all patients engaging with the app. Overall, a third of patients on the waiting list (n=63, 32%) did not respond to the invite and 34 (17%) of patients expressed no interest in the app. Emotional eating and higher BMI was associated with interest in the Gro Health app. Male gender was associated with reduced engagement with the app. There were no differences in interest in the Gro Health app according to age, ethnicity, metabolic measures of glycemia, and lipid profile., Conclusions: It is feasible to offer digital tools such as Gro Health to patients awaiting their first appointment with specialist weight management services. Future research should explore barriers and facilitators of engagement with digital tools. Additionally, there is a need to further evaluate the effectiveness of such tools in specialist weight management services., (©Petra Hanson, Charlotte Summers, Arjun Panesar, Alexandros Leonidas Liarakos, Dominic Oduro-Donkor, Danniella Whyte Oshodi, Luke Hailston, Harpal Randeva, Vinod Menon, Michaela de la Fosse, Amit Kaura, Emma Shuttlewood, Mark Loveder, Donna Poole, Thomas M Barber. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.05.2023.)

Objective: Age is sometimes a barrier for acceptance of patients into a hospital-based obesity service. Our aim was to explore the effect of age on the ability to lose weight through lifestyle interventions, implemented within a hospital-based obesity service., Design: Retrospective study., Patients: We included a cohort of randomly selected patients with morbid obesity (n = 242), who attended our hospital-based obesity service during 2005-2016 and received only lifestyle weight loss interventions., Measurements: Primary outcome measures were percentage weight loss (%WL) and percentage reduction in body mass index (%rBMI) following implemented lifestyle interventions. Data were stratified according to patient age at referral: group 1 (age < 60 years, n = 167) and group 2 (age ≥ 60 years, n = 75). Weight loss was compared between groups, and correlations with age at referral were explored., Results: The duration of hospital-based weight loss interventions ranged between 1 and 143 months (mean: 38.9 months; SD: 32.3). Baseline BMI at referral differed significantly between groups 1 and 2 (49.7 kgm -2 [SD: 8.7] vs 46.9 kgm -2 [SD: 6.1], respectively; P < .05). Following implemented lifestyle interventions, between groups 1 and 2 there were no differences in %WL (6.9% [SD: 16.7] vs 7.3% [SD: 11.60], respectively; P = NS) or %rBMI (8.1% [SD: 14.9] vs 7.8% [SD: 11.7], respectively; p = NS). Overall, there was no significant correlation between patient age at referral and %WL (r = -.13, p = NS)., Conclusions: Older age does not influence the success of weight loss through the implementation of lifestyle modification within a hospital-based obesity service. Therefore, age per se should not influence clinical decisions regarding acceptance of patients to hospital-based obesity services., (© 2020 The Authors. Clinical Endocrinology published by John Wiley & Sons Ltd.)