Evidence mapPaperPMID 33052906Full record

Trial reportPloS one2020

Association between behavioral phenotypes and response to a physical activity intervention using gamification and social incentives: Secondary analysis of the STEP UP randomized clinical trial.

Xisui Shirley Chen, Sujatha Changolkar, Amol S Navathe, Kristin A Linn, Gregory Reh, Gregory Szwartz, David Steier, Sarah Godby, Mohan Balachandran, Joseph D Harrison and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

12 authors at 3 institutions in 1 country.

Xisui Shirley ChenDepartment of Medicine, University of Pennyslvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-6128-4137
Sujatha ChangolkarPenn Medicine Nudge Unit, University of Pennyslvania, Philadelphia, Pennsylvania, United States of America.
Amol S NavatheDepartment of Medicine, University of Pennyslvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
Kristin A LinnDepartment of Biostatistics, Epidemiology and Informatics, University of Pennyslvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
Gregory RehDeloitte Consulting, Philadelphia, Pennsylvania, United States of America.
Gregory SzwartzDeloitte Consulting, Philadelphia, Pennsylvania, United States of America.
David SteierDeloitte Consulting, Philadelphia, Pennsylvania, United States of America.
Sarah GodbyDeloitte Consulting, Philadelphia, Pennsylvania, United States of America.
Mohan BalachandranPenn Medicine Nudge Unit, University of Pennyslvania, Philadelphia, Pennsylvania, United States of America.
Joseph D HarrisonPenn Medicine Nudge Unit, University of Pennyslvania, Philadelphia, Pennsylvania, United States of America.
Charles A L RareshidePenn Medicine Nudge Unit, University of Pennyslvania, Philadelphia, Pennsylvania, United States of America.
Mitesh S PatelDepartment of Medicine, University of Pennyslvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
University of Pennsylvania Health System · USDeloitte (United States) · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Participants often vary in their response to behavioral interventions, but methods to identify groups of participants that are more likely to respond are lacking. In this secondary analysis of a randomized clinical trial, we used baseline characteristics to group participants into distinct behavioral phenotypes and evaluated differential responses to a physical activity intervention. Latent class analysis was used to segment participants based on baseline participant data including demographics, validated measures of psychosocial variables, and physical activity behavior. The trial included 602 adults from 40 U.S. states with body mass index ≥25 who were randomized to control or one of three gamification interventions (supportive, collaborative, or competitive) to increase physical activity. Daily step counts were monitored using a wearable device for a 24-week intervention with 12 weeks of follow-up. The model segmented participants into three classes named for key defining traits: Class 1, extroverted and motivated; Class 2, less active and less social; Class 3, less motivated and at-risk. Adjusted regression models were used to test for differences in intervention response relative to control within each behavioral phenotype. In Class 1, only participants in the competitive arm increased their mean daily steps during the intervention (adjusted difference, 945; 95% CI, 352-1537; P = .002), but it was not sustained during follow-up. In Class 2, participants in all three gamification arms significantly increased their mean daily steps compared to control during the intervention (supportive arm adjusted difference 1172; 95% CI, 363-1980; P = .005; collaborative arm adjusted difference 1119; 95% CI, 319-1919; P = .006; competitive arm adjusted difference 1179; 95% CI, 400-1957; P = .003) and all three had sustained impact during follow-up. In Class 3, none of the interventions had a significant effect on physical activity. Three behavioral phenotypes were identified, each with a different response to the interventions. This approach could be used to better target behavioral interventions to participants that are more likely to respond to them.

Indexed as

ExerciseGames, ExperimentalAccelerometryAdolescentAdultBehavior TherapyBody Mass IndexFemaleHealth BehaviorHumansMaleMiddle AgedMotivationPhenotypeSelf EfficacySleep

Identifiers

PMID33052906
PMCPMC7556484
OpenAlexW3093342875

What Socratic holds

Textmetadata
LicenceCC0
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 Socratic graph.