Evidence map›Paper›PMID 32313670›Full record

ArticleObesity science & practice2020

Digital self-monitoring: Does adherence or association with outcomes differ by self-monitoring target?

Meghan L Butryn, Kathryn M Godfrey, Mary K Martinelli, Savannah R Roberts, Evan M Forman, Fengqing Zhang

Abstract read
In one paragraph

Article in Obesity science & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

6 authors.

Meghan L ButrynDepartment of Psychology Drexel University Philadelphia PA USA.
Kathryn M GodfreyDepartment of Psychology Drexel University Philadelphia PA USA.
Mary K MartinelliDepartment of Psychology Drexel University Philadelphia PA USA.ORCID https://orcid.org/0000-0002-5586-0118
Savannah R RobertsDepartment of Psychology Drexel University Philadelphia PA USA.ORCID https://orcid.org/0000-0001-7980-7824
Evan M FormanDepartment of Psychology Drexel University Philadelphia PA USA.
Fengqing ZhangDepartment of Psychology Drexel University Philadelphia PA USA.

Funding

Improving Weight Loss Maintenance by Using Digital Data Sharing to Provide Responsive Support and AccountabilityR21DK112741 · NIDDK · DREXEL UNIVERSITY · PI BUTRYN, MEGHAN · 2017 to 2018
$425k
NIDDK NIH HHS R21 DK112741
6 · The paper itself

Abstract

objectiveDigital self-monitoring of eating, physical activity, and weight is increasingly prescribed in behavioural weight loss programmes. This study determined if adherence rates or associations with outcomes differed according to self-monitoring target (ie, self-monitoring of eating versus physical activity versus weight).

methodsParticipants in a 3-month, group-based weight loss programme were instructed to use an app to record food intake, wear a physical activity sensor, and use a wireless body weight scale. At post-treatment, weight loss was measured in clinic and moderate-to-vigorous physical activity (MVPA) was measured by research-grade accelerometer.

resultsAdherence to self-monitoring decreased significantly over time for eating and weight but not physical activity. Overall, adherence to self-monitoring of weight was lower than that of eating or physical activity. Greater adherence to self-monitoring of eating, physical activity, and weight each predicted greater weight loss. Only greater adherence to self-monitoring of eating was associated with greater bouted minutes of MVPA.

conclusionsFindings from this study suggest that self-monitoring should be considered a target-specific behaviour rather than a unitary construct when conceptualizing adherence and association with treatment outcomes.

Indexed as

monitoringobesity treatmentweight loss

Identifiers

PMID32313670
PMCPMC7156825

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.