Evidence map›Paper›PMID 34807334›Full record

ArticleJournal of behavioral medicine2022

Momentary predictors of dietary lapse from a mobile health weight loss intervention.

Rebecca J Crochiere, Sophie R Abber, Lauren C Taylor, Margaret Sala, Leah M Schumacher, Stephanie P Goldstein, Evan M Forman

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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

7 authors.

Rebecca J CrochiereCenter for Weight, Eating, and Lifestyle Sciences (WELL Center), Drexel University, 3201 Chestnut Street, Philadelphia, PA, USA. rjc356@drexel.edu.ORCID 0000-0003-2383-158X
Sophie R AbberCenter for Weight, Eating, and Lifestyle Sciences (WELL Center), Drexel University, 3201 Chestnut Street, Philadelphia, PA, USA.
Lauren C TaylorCenter for Weight, Eating, and Lifestyle Sciences (WELL Center), Drexel University, 3201 Chestnut Street, Philadelphia, PA, USA.
Margaret SalaCenter for Weight, Eating, and Lifestyle Sciences (WELL Center), Drexel University, 3201 Chestnut Street, Philadelphia, PA, USA.
Leah M SchumacherWeight Control and Diabetes Research Center of The Miriam Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
Stephanie P GoldsteinWeight Control and Diabetes Research Center of The Miriam Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
Evan M FormanCenter for Weight, Eating, and Lifestyle Sciences (WELL Center), Drexel University, 3201 Chestnut Street, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying factors that influence risk of dietary lapses (i.e., instances of dietary non-adherence) is important because lapses contribute to suboptimal weight loss outcomes. Existing research examining lapse risk factors has had methodological limitations, including retrospective recall biases, subjective operationalizations of lapse, and has investigated lapses among participants in gold-standard behavioral weight loss programs (which are not accessible to most Americans). The current study will address these limitations by being the first to prospectively assess several risk factors of lapse (objectively operationalized) in the context of a commercial mobile health (mHealth) intervention, a highly popular and accessible method of weight loss. N = 159 adults with overweight or obesity enrolled in an mHealth commercial weight loss program completed ecological momentary assessments (EMAs) of 15 risk factors and lapses (defined as exceeding a point target for a meal/snack) over a 2-week period. N = 9 participants were excluded due to low EMA compliance, resulting in a sample of N = 150. Dietary lapses were predicted by momentary increases in urges to deviate from one's eating plan (b = .55, p < .001), cravings (b = .55, p < .001), alcohol consumption (b = .51, p < .001), and tiredness (b = .19, p < .001), and decreases in confidence related to meeting dietary goals (b = -.21, p < .001) and planning food intake (b = -.15, p < .001). This study was among the first to identify prospective predictors of lapse in the context of a commercial mHealth weight loss program. Findings can inform mHealth weight loss programs, including just-in-time interventions that measure these risk factors, calculate when risk of lapse is high, and deliver momentary interventions to prevent lapses.

Indexed as

TelemedicineWeight Reduction ProgramsAdultHumansOverweightRetrospective StudiesWeight LossDietary lapseEcological momentary assessmentRisk factorsWeight loss

Identifiers

PMID34807334

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.