Evidence mapPaperPMID 41933461Full record

ArticleEndocrinology, diabetes & metabolism2026

Impact of and Comparative Outcomes for Digital and In-Person Interventions for Complex Obesity in a Diverse Urban Population.

Majella O'Keeffe, Emiliano Pena-Altamira, Sumaya Shuriye, Danielle Dunk, Oliver Canfell, Rhys White, Alastair Duncan

Abstract readComparative Study
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Majella O'KeeffeSchool of Food and Nutritional Sciences, University College Cork, College Road, Ireland.ORCID https://orcid.org/0000-0002-0204-3835
Emiliano Pena-AltamiraDepartment of Nutritional Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-8376-027X
Sumaya ShuriyeDepartment of Nutrition and Dietetics, Guys and St Thomas' NHS Foundation Trust, London, UK.
Danielle DunkDepartment of Nutritional Sciences, King's College London, London, UK.
Oliver CanfellDepartment of Nutritional Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0003-2010-3640
Rhys WhiteDepartment of Nutrition and Dietetics, Guys and St Thomas' NHS Foundation Trust, London, UK.
Alastair DuncanDepartment of Nutritional Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-6284-8192

Funding

Guy's and St Thomas' NHS Foundation Trust
6 · The paper itself

Abstract

introductionObesity management in the UK includes multicomponent weight and behavioural interventions delivered at Tier 3 of the NHS model of care. This study presents the impact of and comparative outcomes for the Tier 3 Southeast London Healthy Living programme (SELHLP) in a diverse population.

methodsThe SELHLP is a multicomponent, multidisciplinary programme that includes face-to-face (F2F) and virtual (V) delivery. Two management strategies are offered: Balance, a weight behavioural intervention and Kickstart, a three-month total meal replacement intervention followed by a weight and behavioural intervention. Eligibility criteria were adults (≥ 18 years) with a BMI ≥ 35 kg/m

resultsProgramme completers of both Balance and Kickstart were predominantly female (82% and 79% respectively). Among completers for Balance, weight change from baseline was -2.8 (8.4) kg for Balance F2F (p < 0.001) and -5.1 (11.7) kg for Balance V (p < 0.001). A similar trend was observed for Kickstart F2F -11 (13) kg and Kickstart V -11 (11) kg (p < 0.001) but did not differ between service delivery models (p > 0.005). 34% of participants of the combined Balance and Kickstart programmes lost ≥ 5% of initial weight, -10.7% and -18% weight loss respectively. Black participants and women were less likely to achieve ≥ 5% weight loss in both programmes, but deprivation status had no effect.

conclusionThe SELHLP resulted in significant weight loss, but weight loss varied by service delivery, ethnicity and sex. Future efforts should focus on cultural salience and digitisation of Tier 3 programmes to support better engagement and completion among participants of Black ethnicity. Tailoring of Tier 3 interventions and triaging of participants at the onset should be investigated to improve both patient and service outcomes.

Indexed as

Behavior TherapyObesityWeight Reduction ProgramsAdultDigital HealthFemaleHumansLondonMaleMiddle AgedTreatment OutcomeUrban PopulationWeight Lossbehaviour changeethnicityobesitytotal meal replacementvirtualweight management

Identifiers

PMID41933461
PMCPMC13051926

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.