Evidence map›Paper›PMID 37747766›Full record

ArticleJournal of medical Internet research2023

Use of Biological Feedback as a Health Behavior Change Technique in Adults: Scoping Review.

Kelli M Richardson, Michelle R Jospe, Ahlam A Saleh, Thanatcha Nadia Clarke, Arianna R Bedoya, Nick Behrens, Kari Marano, Lacey Cigan, Yue Liao, Eric R Scott and 3 more

Registry-linked trialOpen access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06229444 (Predict + Protect), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% 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.

NCT06229444 nacompletednot on this mapstarted 2024, after this paper: background citation

Predict + Protect: A Randomized Controlled Trial Exploring the Effectiveness of a Predictive Health Education Intervention on the Adoption of Protective Behaviors Related to Influenza-like Illness (ILI)

TypeinterventionalSponsorEvidation HealthRan2024 to 2024Enrolled17,043ConditionsInfluenza, Influenza A, Influenza B, COVID-19ArmsILI Predictive Alerts, Reactive Content, and Proactive Content, ILI Predictive Alerts, Reactive Content, Proactive Content, No Intervention
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Leveraging continuous glucose monitoring as a catalyst for behaviour change: a scoping review.The international journal of behavioral nutrition and physical activity · 2024
    Article
  12. Article
  13. Review
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

13 authors at 3 institutions in 1 country.

Kelli M RichardsonSchool of Nutritional Sciences and Wellness, College of Agriculture, Life and Environmental Sciences, University of Arizona, Tucson, AZ, United States.ORCID 0000-0001-7418-252X
Michelle R JospeDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.ORCID 0000-0003-0393-5517
Ahlam A SalehArizona Health Sciences Library, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-3492-3140
Thanatcha Nadia ClarkeDepartment of Physiology, College of Medicine, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-0505-2374
Arianna R BedoyaDepartment of Internal Medicine, College of Medicine - Phoenix, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-6275-7514
Nick BehrensDepartment of Ecology and Evolutionary Biology, College of Science, University of Arizona, Tucson, AZ, United States.ORCID 0000-0001-8715-5926
Kari MaranoCollege of Nursing, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-0661-3858
Lacey CiganSchool of Nutritional Sciences and Wellness, College of Agriculture, Life and Environmental Sciences, University of Arizona, Tucson, AZ, United States.ORCID 0009-0006-7018-3799
Yue LiaoDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, United States.ORCID 0000-0002-9384-336X
Eric R ScottCommunications & Cyber Technologies, Arizona Experiment Station, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-7430-7879
Jessica S GuoCommunications & Cyber Technologies, Arizona Experiment Station, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-9566-9182
April AguinagaArizona Health Sciences Library, University of Arizona, Tucson, AZ, United States.ORCID 0009-0008-7386-8835
Susan M SchembreDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.ORCID 0000-0002-9945-7136
University of Arizona · USGeorgetown University · USThe University of Texas at Arlington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements in personal biosensing technology support the shift from standardized to personalized health interventions, whereby biological data are used to motivate health behavior change. However, the implementation of interventions using biological feedback as a behavior change technique has not been comprehensively explored.

objectiveThe purpose of this review was to (1) map the domains of research where biological feedback has been used as a behavior change technique and (2) describe how it is implemented in behavior change interventions for adults.

methodsA comprehensive systematic search strategy was used to query 5 electronic databases (Ovid MEDLINE, Elsevier Embase, Cochrane Central Register of Controlled Trials, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global) in June 2021. Eligible studies were primary analyses of randomized controlled trials (RCTs) in adults that incorporated biological feedback as a behavior change technique. DistillerSR was used to manage the literature search and review.

resultsAfter removing 49,500 duplicates, 50,287 articles were screened and 767 articles were included. The earliest RCT was published in 1972 with a notable increase in publications after 2000. Biological feedback was most used in RCTs aimed at preventing or managing diabetes (n=233, 30.4%), cardiovascular disease (n=175, 22.8%), and obesity (n=115, 15%). Feedback was often given on multiple biomarkers and targeted multiple health behaviors. The most common biomarkers used were anthropometric measures (n=297, 38.7%), blood pressure (n=238, 31%), and glucose (n=227, 29.6%). The most targeted behaviors were diet (n=472, 61.5%), physical activity (n=417, 54.4%), and smoking reduction (n=154, 20.1%). The frequency and type of communication by which biological feedback was provided varied by the method of biomarker measurement. Of the 493 (64.3%) studies where participants self-measured their biomarker, 476 (96.6%) received feedback multiple times over the intervention and 468 (94.9%) received feedback through a biosensing device.

conclusionsBiological feedback is increasingly being used to motivate behavior change, particularly where relevant biomarkers can be readily assessed. Yet, the methods by which biological feedback is operationalized in intervention research varied, and its effectiveness remains unclear. This scoping review serves as the foundation for developing a guiding framework for effectively implementing biological feedback as a behavior change technique.

trial registrationOpen Science Framework Registries; https://doi.org/10.17605/OSF.IO/YP5WAd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/32579.

Indexed as

Behavior TherapyCardiovascular DiseasesAdultBlood PressureFeedbackHealth BehaviorHumansadultsbiologicalbiomarkersbiosensingcardiovascular diseasedeviceelectronic databasefeedback, psychologicalhealth behaviorhealth promotioninterventionmonitoring, physiologicobesitysupporttechnology

Identifiers

PMID37747766
PMCPMC10562972
OpenAlexW4385517244

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.