Evidence map›Paper›PMID 32635174›Full record

SynthesisNutrients2020

Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis.

Iván Cavero-Redondo, Vicente Martinez-Vizcaino, Rubén Fernandez-Rodriguez, Alicia Saz-Lara, Carlos Pascual-Morena, Celia Álvarez-Bueno

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 11 pooled it
19.7field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 11 syntheses or guidelines pooled it, 125 citations in OpenAlex.

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14 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 3 countries.

Iván Cavero-RedondoUniversidad de Castilla-La Mancha, Health and Social Research Center, 16071 Cuenca, Spain.ORCID 0000-0003-2617-0430
Vicente Martinez-VizcainoUniversidad de Castilla-La Mancha, Health and Social Research Center, 16071 Cuenca, Spain.ORCID 0000-0001-6121-7893
Rubén Fernandez-RodriguezUniversidad de Castilla-La Mancha, Health and Social Research Center, 16071 Cuenca, Spain.ORCID 0000-0001-7584-7642
Alicia Saz-LaraUniversidad de Castilla-La Mancha, Health and Social Research Center, 16071 Cuenca, Spain.
Carlos Pascual-MorenaUniversidad de Castilla-La Mancha, Health and Social Research Center, 16071 Cuenca, Spain.
Celia Álvarez-BuenoUniversidad de Castilla-La Mancha, Health and Social Research Center, 16071 Cuenca, Spain.ORCID 0000-0002-6176-1618
University of Castilla-La Mancha · ESUniversidad Politécnica y Artística del Paraguay · PYUniversidad Autónoma de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.

Indexed as

AdultBehavior TherapyFemaleHumansLife StyleMaleObesityPatient Acceptance of Health CareSelf-ManagementTelemedicineTreatment OutcomeWeight LossWeight Reduction ProgramsmHealthobesityself-monitoring

Identifiers

PMID32635174
PMCPMC7400167
OpenAlexW3038212358

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.