Evidence map›Paper›PMID 27000058›Full record

Trial reportTrials2016

An Ecological Momentary Intervention for weight loss and healthy eating via smartphone and Internet: study protocol for a randomised controlled trial.

Bastiaan Boh, Lotte H J M Lemmens, Anita Jansen, Chantal Nederkoorn, Vincent Kerkhofs, Gerasimos Spanakis, Gerhard Weiss, Anne Roefs

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  4. Approaches to Tailoring Between-Session Mental Health Therapy Activities.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
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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

8 authors.

Bastiaan BohDepartment of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands. bastiaan.boh@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0001-6062-8332
Lotte H J M LemmensDepartment of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Anita JansenDepartment of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Chantal NederkoornDepartment of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Vincent KerkhofsDepartment of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Gerasimos SpanakisDepartment of Data Science and Knowledge Engineering, Faculty of Humanities and Sciences, Maastricht University, Maastricht, The Netherlands.
Gerhard WeissDepartment of Data Science and Knowledge Engineering, Faculty of Humanities and Sciences, Maastricht University, Maastricht, The Netherlands.
Anne RoefsDepartment of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term weight loss maintenance is difficult to achieve. Effectiveness of obesity interventions could be increased by providing extended treatment, and by focusing on person-environment interactions. Ecological Momentary Intervention (EMI) can account for these two factors by allowing an indefinite extension of a treatment protocol in everyday life. EMI relies on observations in daily life to intervene by providing appropriate in-the-moment treatment. The Think Slim intervention is an EMI based on the principles of cognitive behavioural therapy (CBT), and its effectiveness will be investigated in the current study.

methodsA randomised controlled trial (RCT) will be conducted. At least 134 overweight adults (body mass index (BMI) above 25 kg/m(2)) will be randomly assigned to an 8-week immediate intervention group (Diet + Think Slim intervention, n = 67) or to an 8-week diet-only control group (followed by the Think Slim intervention, n = 67). The Think Slim intervention consists of (1) an app-based EMI that estimates and intervenes when people are likely to overeat, based on Ecological Momentary Assessment data, and (2) ten online computerised CBT sessions which work in conjunction with an EMI module in the app. The primary outcome is BMI. Secondary outcomes include (1) scores on self-report questionnaires for dysfunctional thinking, eating styles, eating disorder pathology, general psychological symptomatology, and self-esteem, and (2) eating patterns, investigated via network analysis. Primary and secondary outcomes will be obtained at pre- and post-intervention measurements, and at 3- and 12-month follow-up measurements. DISCUSSION: This is the first EMI aimed at treating obesity via a cognitive approach, provided via a smartphone app and the Internet, in the context of an RCT.

trial registrationThis trial has been registered at the Netherlands Trial Register, part of the Dutch Cochrane Centre ( NTR5473 ; registration date: 26 October 2015).

Indexed as

Cognitive Behavioral TherapyDiet, HealthyEcological Momentary AssessmentHealth BehaviorInternetMobile ApplicationsSmartphoneWeight LossBody Mass IndexCaloric RestrictionClinical ProtocolsDietFeeding BehaviorHealth Knowledge, Attitudes, PracticeHumansNetherlandsCognitive behavioural therapyEcological momentary assessmentEcological momentary interventionObesityRCT

Identifiers

PMID27000058
PMCPMC4802730

What OpenQuestion holds

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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.