Evidence map›Paper›PMID 36998094›Full record

SynthesisSystematic reviews2023

Effectiveness of eHealth weight management interventions in overweight and obese adults from low socioeconomic groups: a systematic review.

Richard Myers-Ingram, Jade Sampford, Rhian Milton-Cole, Gareth David Jones

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
8.7field-weighted citation impact, top 2% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Cognitive Behavioral Interventions for Children and Adolescents With Overweight or Obesity: A Systematic Review and Component Network Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Identifying Social Media-Based Interactions That Help Adults to Adhere to Weight Loss Goals: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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  5. Trial
  6. 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 · 2026
    Article
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  15. eHealth in obesity care.Clinical medicine (London, England) · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Richard Myers-IngramDepartment of Physiotherapy, Guy's & St Thomas' Hospital NHS Foundation Trust, London, UK. richard.myersingram@gstt.nhs.uk.ORCID 0000-0002-7386-0867
Jade SampfordDepartment of Physiotherapy, Guy's & St Thomas' Hospital NHS Foundation Trust, London, UK.
Rhian Milton-ColeDepartment of Physiotherapy, Guy's & St Thomas' Hospital NHS Foundation Trust, London, UK.
Gareth David JonesDepartment of Physiotherapy, Guy's & St Thomas' Hospital NHS Foundation Trust, London, UK.
St Thomas' Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow socioeconomic status (SES) is associated with increased rates of overweight and obesity. Proponents of electronic health (eHealth) hypothesise that its inclusion in weight management interventions can improve efficacy by mitigating typical barriers associated with low SES.

objectivesTo establish the scope of eHealth weight management interventions for people with overweight and obesity from a low SES. Secondary objectives were to determine the efficacy of eHealth interventions in facilitating weight loss, physical activity and fitness improvements.

methodsFour databases and grey literature were systematically searched to identify eligible studies published in English from inception to May 2021. Studies examining an eHealth intervention with low SES participants were included. Outcomes included temporal change in weight and BMI, anthropometry, physiological measures and physical activity levels. The number and heterogeneity of studies precluded any meta-analyses; thus, a narrative review was undertaken.

resultsFour experimental studies with low risk of bias were reviewed. There was variance in how SES was defined. Study aims and eHealth media also varied and included reducing/maintaining weight or increasing physical activity using interactive websites or voice responses, periodic communication and discourse via telephone, social media, text messaging or eNewsletters. Irrespectively, all studies reported short-term weight loss. eHealth interventions also increased short-term physical activity levels where it was assessed, but did not change anthropometry or physiological measures. None reported any effect on physical fitness.

conclusionsThis review revealed short-term effects of eHealth interventions on weight loss and increased physical activity levels for low SES participants. Evidence was limited to a small number of studies, with small to moderate sample sizes. Inter-study comparison is challenging because of considerable variability. Future work should prioritise how to utilise eHealth in the longer term either as a supportive public health measure or by determining its long-term efficacy in engendering volitional health behaviour changes. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021243973.

Indexed as

OverweightTelemedicineAdultElectronicsHumansObesitySocioeconomic FactorsWeight LosseHealthLow socioeconomic statusObesitySocioeconomicWeight lossWeight management

Identifiers

PMID36998094
PMCPMC10061957
OpenAlexW4361281773

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.