Cited by 25Smoking Behavior and CessationDigital Mental Health InterventionsSubstance Abuse Treatment and Outcomes

Smoking cessation avatar-led Acceptance and Commitment Therapy digital intervention: feasibility and acceptability in young adults

Karekla, Maria, Savvides, Stella Nicoleta·2021·Translational Behavioral Medicine

Abstract

Smoking remains a global concern especially among youth and smoking cessation interventions have not been particularly successful with this age group. The aim of the present study was to evaluate the feasibility and acceptability of an innovative avatar-led, digital intervention grounded in Acceptance and Commitment Therapy (ACT) for smoking cessation in youth. Participants were 49 university student smokers, aged 18–28 years old (Mage = 22.50, SD = 2.56; 64.3% females). Participants found the program satisfactory, useful, and motivating. Participants enjoyed the digitally unique components of the intervention, such as videos, metaphors, and games, more than the overall graphics and the appearance of the avatars. Results of this study are encouraging for the acceptability and satisfaction with avatar-led digitized ACT interventions for smoking cessation targeting young smokers. Participants suggested that future program advances should include a more reality-based user experience and more interactive avatars. Future adaptations should consider additional ways to decrease attrition rates and further increase satisfaction and motivation to complete the program and quit smoking.

Integrity signals

Registry

Crossref · 10.1093/tbm/ibz128

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Presently, there is limited evidence for the efficacy of smartphone apps delivering behavioral smoking cessation interventions for individuals with mental health disorders; most studies have been limited to small pilot RCTs and single-arm studies.

    “Presently, there is limited evidence for the efficacy of smartphone apps delivering behavioral smoking cessation interventions for individuals with mental health disorders. Most studies have been limited to small pilot randomized controlled trials (RCTs) and single-arm studies [43, 44, 45, 46, 47].”

Cites

Flagged first, then by citations

2 of the 41 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Karekla, M., & Savvides, S. N.
Affiliations
University of Cyprus (CY)
Corresponding author
Karekla, Maria
Venue
Translational Behavioral Medicine
Published
2019-10-19
Volume
11
Issue
1
Pages
198-205
ISSN
  • 1613-9860 (ISSN-L)
  • 1869-6716
OpenAlex
W2981010481
Cited by
25
References
41
Citations by year
2025: 6 · 2024: 4 · 2023: 6 · 2022: 2 · 2021: 4 · 2020: 3
FWCI
1.55
Type
journal article
Language
en
Open access
closed
Locations
  • Translational Behavioral Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
University of Cyprus
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
smoking cessation, acceptance and commitment therapy, digital interventions, young adults, university students, feasibility, acceptability, user satisfaction, interactive avatars, gamification
MeSH terms
Smokers, Adolescent, Adult, Feasibility Studies, Female, Humans, Male, Smoking, Smoking Cessation, Young Adult, Acceptance and Commitment Therapy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review