Evidence map›Paper›PMID 41088011›Full record

ArticleBMC public health2025

Behavioral science meets public health: a scoping review of the fogg behavior model in behavior change interventions.

Giuliano Duarte-Anselmi, Steven Michael Crane, Manuel Armayones Ruiz, Pablo Villalobos Dintrans

Abstract readScoping Review
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

Giuliano Duarte-AnselmiFacultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile.ORCID http://orcid.org/0000-0001-9724-0796
Steven Michael CraneStanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5385-2926
Manuel Armayones RuizeHealth Center, Universitat Oberta de Catalunya (UOC), Barcelona, España. marmayones@uoc.edu.ORCID http://orcid.org/0000-0001-6345-8711
Pablo Villalobos DintransFacultad de Medicina y Ciencias de la Salud, Universidad Mayor, Santiago, Chile.ORCID http://orcid.org/0000-0002-2236-6447

Funding

Ministerio de Ciencia, Innovación y Universidades de España ES-PCTI_2123_PGC_Proy_22
6 · The paper itself

Abstract

backgroundBehavior change is essential for promoting health and preventing illness; yet, motivating individuals to adopt and maintain healthy behaviors remains a significant challenge. Multiple models have been developed in Psychology and Behavioral Sciences to understand and encourage behavior change, including the Capability, Opportunity, Motivation, Behavior model (COM-B model), the Health Belief Model, the Behavior Change Wheel, the Theoretical Domains Framework (TDF), nudge theory, and Behavior Change Techniques (BCTs). Among these, the Fogg Behavior Model (FBM), developed by Dr. BJ Fogg, offers a specific and valuable framework for facilitating behavior change. This scoping review aims to analyze studies that apply the FBM in health, particularly its impact on changing health-related behaviors. By synthesizing the evidence, this review provides valuable insights into the use and impact of the FBM in promoting behavior change in health, with implications for future research and practice.

objectiveTo investigate the application of the FBM within the health domain, focusing on its role in behavior change interventions.

methodsA comprehensive search of multiple databases, including MEDLINE/PubMed, Cochrane Library, Epistemonikos, and PsycINFO, was conducted to identify studies applying the FBM in health-related interventions. The search strategy incorporated terms related to the FBM, health behavior change, and relevant health outcomes, with no restrictions on publication date. Unpublished and grey literature was also searched. Eligibility criteria included studies that applied the FBM in health interventions and reported outcomes. The review followed PRISMA-ScR and SAGER guidelines to ensure comprehensive reporting and consideration of sex and gender variables. Data were synthesized using a narrative approach, summarizing findings descriptively and thematically.

resultsSix studies met the inclusion criteria, covering sexual and reproductive health, vaccination, chronic disease management, general wellness, and healthcare adherence. The FBM was applied through motivation (anticipation, sensation, belonging), ability enhancement (reducing effort, increasing accessibility, integrating behaviors into routines), and prompts (reminders, calls to action, environmental cues). Effectiveness varied across studies. Gestational weight management reduced gestational diabetes (10.34% vs. 34.48%, p = 0.028), hypertension (3.45% vs. 27.59%, p = 0.030), and cesarean rates (41.38% vs. 72.41%, p = 0.017). HPV vaccination interventions increased intent to vaccinate (63.3–96.7%, p < 0.001), with 30% receiving the first dose within three months. Diabetes self-management improved dietary adherence (p = 0.04), physical activity (p = 0.005), and glucose monitoring (p = 0.02). Parental nutrition interventions increased knowledge (d = 1.07), beliefs (d = 0.61), and behavior change (d = 0.59). A vaginal birth intervention raised intention by 29% (p < 0.05).

conclusionsOur scoping review highlights the FBM as an effective framework for promoting health behavior change across various domains. By systematically applying motivation, ability, and prompts, FBM-based interventions demonstrated positive outcomes. However, limitations such as the lack of long-term follow-ups and sex- and gender-disaggregated data indicate areas for future research. Expanding its application to diverse populations, integrating digital health technologies, and addressing structural and cultural barriers will enhance its impact. Strengthening methodological rigor and comparative analyses with other behavior change models will further refine its effectiveness for broader public health applications. Despite its potential, the FBM remains underutilized in public health research.

trial registrationOpen Science Framework osf.io/jpwxg.

Indexed as

Behavioral SciencesBehavior TherapyHealth BehaviorHealth PromotionModels, PsychologicalPublic HealthHumansMotivationBehavioral changeBehavior change interventionsFogg behavior modelHealth behavior changeHealth promotionPublic healthScoping review

Identifiers

PMID41088011
PMCPMC12522219

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.