Evidence map›Paper›PMID 26902519›Full record

ReviewProgress in cardiovascular diseases

The Use of Behavior Change Techniques and Theory in Technologies for Cardiovascular Disease Prevention and Treatment in Adults: A Comprehensive Review.

Sandra J Winter, Jylana L Sheats, Abby C King

Open access · greenAbstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 6 pooled it
7.0field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 6 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Using Continuous Glucose Monitoring to Motivate Physical Activity in Overweight and Obese Adults: A Pilot Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Sandra J WinterStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA. Electronic address: sjwinter@stanford.edu.
Jylana L SheatsStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA.
Abby C KingDepartment of Health Research & Policy and of Medicine, Stanford University School of Medicine, Palo Alto, CA.
Stanford University · US

Funding

Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
Virtual Advisors for Physical Activity Promotion in Underserved CommunitiesR01HL116448 · NHLBI · STANFORD UNIVERSITY · PI BICKMORE, TIMOTHY W., KING, ABBY C · 2013 to 2016
$3.0M
Innovative Physical Activity Interventions for Overweight LatinosR01DK102016 · NIDDK · STANFORD UNIVERSITY · PI KING, ABBY C · 2014 to 2017
$2.7M
NHLBI NIH HHS R01 HL116448NIBIB NIH HHS U54 EB020405NIDDK NIH HHS R01 DK102016
6 · The paper itself

Abstract

This review examined the use of health behavior change techniques and theory in technology-enabled interventions targeting risk factors and indicators for cardiovascular disease (CVD) prevention and treatment. Articles targeting physical activity, weight loss, smoking cessation and management of hypertension, lipids and blood glucose were sourced from PubMed (November 2010-2015) and coded for use of 1) technology, 2) health behavior change techniques (using the CALO-RE taxonomy), and 3) health behavior theories. Of the 984 articles reviewed, 304 were relevant (240=intervention, 64=review). Twenty-two different technologies were used (M=1.45, SD=+/-0.719). The most frequently used behavior change techniques were self-monitoring and feedback on performance (M=5.4, SD=+/-2.9). Half (52%) of the intervention studies named a theory/model - most frequently Social Cognitive Theory, the Trans-theoretical Model, and the Theory of Planned Behavior/Reasoned Action. To optimize technology-enabled interventions targeting CVD risk factors, integrated behavior change theories that incorporate a variety of evidence-based health behavior change techniques are needed.

Indexed as

Behavior TherapyHealth BehaviorHealth Knowledge, Attitudes, PracticeRisk Reduction BehaviorBiomedical TechnologyCardiovascular DiseasesHumansPatient Acceptance of Health CarePreventive Health ServicesRisk AssessmentRisk FactorsSelf CareTelemedicineTreatment OutcomeBehavioral theoryBehavior change techniquesCardiovascular disease prevention and treatmentHealth promotion technologies

Identifiers

PMID26902519
PMCPMC4868665
OpenAlexW2285510434

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.