ArticleBMC public health2022
Weight loss outcomes achieved by adults accessing an online programme offered as part of Public Health England's 'Better Health' campaign.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing the evidence for health benefits of low-level weight loss: a systematic review.International journal of obesity (2005) · 2025Pooled it
- Efficacy of a Digital Peer Support Program on Weight Management and Mental Health in University Students With Preobesity: Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- A Scoping Review of the Mechanisms Influencing Socioeconomic Disparities in Outcomes of Digital Interventions for Weight-Related Behaviors.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Article
- Personalizing a Weight Loss Program Using Cognitive-Behavioral Phenotypes to Improve Engagement and Weight Loss in Adults With Overweight or Obesity: Quasi-Experimental Study.JMIR formative research · 2025Article
- Mapping the Process of Engagement With Digital Health Interventions: A Cross-Case Synthesis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Why more successful? An analysis of participants' self-monitoring data in an online weight loss intervention.BMC public health · 2024Article
- Quantifying weight loss program preferences of men working in trade and labor occupations: A discrete choice experiment.Obesity science & practice · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective use of health technology may offer a scalable solution to the obesity pandemic. Online digital programmes provide a convenient and flexible way for more people to access regular support. This service evaluation aims to determine whether adults accessing an online weight management programme via a national campaign are successful in losing weight.Data was analysed for adults registering with Slimming World's online programme using a discounted membership offered as part of PHE's 'Better Health' campaign between July and December 2020. Last-weight carried forward was used to calculate weight outcomes for participants who had the opportunity to complete 12-weeks and recorded ≥ one weight besides baseline. Engagement was determined using number of online weekly weights recorded with high engagers having weight data for ≥ 9 occasions. Socioeconomic status was assessed using postcode data. Resubscription and uploaded weight data were used to determine numbers who continued beyond the offer period.Twenty-seven thousand two hundred forty-eight adults (5.3% males) with mean age 41.0 ± 11.4 years met inclusion criteria. Mean baseline BMI was 33.4 ± 6.8 kg/m
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What Socratic holds
Registered trials
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.