Evidence map›Paper›PMID 35536605›Full record

ArticleJMIR mental health2022

Momentary Self-regulation: Scale Development and Preliminary Validation.

Emily A Scherer, Sunny Jung Kim, Stephen A Metcalf, Mary Ann Sweeney, Jialing Wu, Haiyi Xie, Gina L Mazza, Matthew J Valente, David P MacKinnon, Lisa A Marsch

Abstract read
In one paragraph

Article in JMIR mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  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

10 authors.

Emily A Scherer *Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0002-6166-4455
Sunny Jung Kim *Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.ORCID https://orcid.org/0000-0002-6405-162X
Stephen A MetcalfCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-7000-2966
Mary Ann SweeneyCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0002-4818-1715
Jialing WuCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0003-0893-8063
Haiyi XieCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0003-4549-879X
Gina L MazzaDepartment of Psychology, Arizona State University, Tempe, AZ, United States.ORCID https://orcid.org/0000-0002-5305-6193
Matthew J ValenteCenter for Children and Families, Department of Psychology, Florida International University, Miami, FL, United States.ORCID https://orcid.org/0000-0001-9130-2255
David P MacKinnonDepartment of Psychology, Arizona State University, Tempe, AZ, United States.ORCID https://orcid.org/0000-0003-0866-6010
Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-6429-0965

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Columbia University Science of Behavior Change Resource and Coordinating Center renewal -Ontology Administrative SupplementU24AG052175 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EDMONDSON, DONALD · 2015 to 2024
$14.5M
Applying novel technologies and methods to inform the ontology of self-regulationUH2DA041713 · NIDA · DARTMOUTH COLLEGE · PI MARSCH, LISA A., POLDRACK, RUSSELL A · 2015 to 2017
$2.8M
Applying novel technologies and methods to inform the ontology of self-regulationUH3DA041713 · NIDA · DARTMOUTH COLLEGE · PI MARSCH, LISA A., POLDRACK, RUSSELL A · 2018 to 2019
$2.5M
NIA NIH HHS U24 AG052175NIDA NIH HHS P30 DA029926NIDA NIH HHS UH2 DA041713NIDA NIH HHS UH3 DA041713
6 · The paper itself

Abstract

backgroundSelf-regulation refers to a person's ability to manage their cognitive, emotional, and behavioral processes to achieve long-term goals. Most prior research has examined self-regulation at the individual level; however, individual-level assessments do not allow the examination of dynamic patterns of intraindividual variability in self-regulation and thus cannot aid in understanding potential malleable processes of self-regulation that may occur in response to the daily environment.

objectiveThis study aims to develop a brief, psychometrically sound momentary self-regulation scale that can be practically administered through participants' mobile devices at a momentary level.

methodsThis study was conducted in 2 phases. In the first phase, in a sample of 522 adults collected as part of a larger self-regulation project, we examined 23 previously validated assessments of self-regulation containing 594 items in total to evaluate the underlying structure of self-regulation via exploratory and confirmatory factor analyses. We then selected 20 trait-level items to be carried forward to the second phase. In the second phase, we converted each item into a momentary question and piloted the momentary items in a sample of 53 adults over 14 days. Using the results from the momentary pilot study, we explored the psychometric properties of the items and assessed their underlying structure. We then proposed a set of subscale and total score calculations.

resultsIn the first phase, the selected individual-level items appeared to measure 4 factors of self-regulation. The factors identified were perseverance, sensation seeking, emotion regulation, and mindfulness. In the second phase of the ecological momentary assessment pilot, the selected items demonstrated strong construct validity as well as predictive validity for health risk behaviors.

conclusionsOur findings provide preliminary evidence for a 12-item momentary self-regulation scale comprising 4 subscales designed to capture self-regulatory dynamics at the momentary level.

Indexed as

ecological momentary assessmenthealth behavior changehealth risk behaviorsmobile phonemomentary self-regulationpsychometricself-regulation

Identifiers

PMID35536605
PMCPMC9131140

What OpenQuestion holds

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LicenceCC BY
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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.