A Scoping Review of the Mechanisms Influencing Socioeconomic Disparities in Outcomes of Digital Interventions for Weight‐Related Behaviors

Digital behavioral change interventions (DBCIs) for weight-related behaviors may be less effective in disadvantaged populations, potentially widening health inequalities despite increased access. Limited research has explored the psychosocial mechanisms that may contribute to this divide. Following JBI guidelines for conducting scoping reviews, we conducted an electronic search on Embase, PubMed, APA PsycInfo, Web of Science, and SCOPUS on March 8, 2023, including studies published since 1990. The mechanisms of action ontology was used for deductive coding of the mechanisms discussed. The protocol was registered on the Open Science Framework (https://osf.io/ctua5). After initial screening of 17,503 papers, 21 studies met inclusion criteria, including RCTs, pre-post studies, systematic reviews, qualitative studies, cross-sectional, pilot, and feasibility studies. A second screen of 7840 articles in June 2025 identified three further studies that met the inclusion criteria. Socioeconomic inequalities and ethnicity were the predominant focus. Environment, motivation, and social influences were frequently cited mechanisms. However, mechanisms are inconsistently conceptualized and measured, highlighting a gap in explanatory research on the digital health divide.

Authors

Institutions

Publication Details

Journal
Obesity Reviews
Published
2026-03-12
DOI
https://doi.org/10.1111/obr.70121
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Scoping Review of the Mechanisms Influencing Socioeconomic Disparities in Outcomes of Digital Interventions for Weight‐Related Behaviors

Max J. Western, Lee C. Mercer, Mirna Al‐Masri, Diana Rocha et al.
Obesity Reviews
Mobile Health and mHealth Applications
article

A Scoping Review of the Mechanisms Influencing Socioeconomic Disparities in Outcomes of Digital Interventions for Weight‐Related Behaviors

Max J. Western, Lee C. Mercer, Mirna Al‐Masri, Diana Rocha, Laura M. König
article en

Abstract

Digital behavioral change interventions (DBCIs) for weight-related behaviors may be less effective in disadvantaged populations, potentially widening health inequalities despite increased access. Limited research has explored the psychosocial mechanisms that may contribute to this divide. Following JBI guidelines for conducting scoping reviews, we conducted an electronic search on Embase, PubMed, APA PsycInfo, Web of Science, and SCOPUS on March 8, 2023, including studies published since 1990. The mechanisms of action ontology was used for deductive coding of the mechanisms discussed. The protocol was registered on the Open Science Framework (https://osf.io/ctua5). After initial screening of 17,503 papers, 21 studies met inclusion criteria, including RCTs, pre-post studies, systematic reviews, qualitative studies, cross-sectional, pilot, and feasibility studies. A second screen of 7840 articles in June 2025 identified three further studies that met the inclusion criteria. Socioeconomic inequalities and ethnicity were the predominant focus. Environment, motivation, and social influences were frequently cited mechanisms. However, mechanisms are inconsistently conceptualized and measured, highlighting a gap in explanatory research on the digital health divide.

Obesity Reviews
University of Vienna (AT), University of Bath (GB), University of Bayreuth (DE)
University of Bath, Economic and Social Research Council
Reduced inequalities
Openalex Percentile: Top 28%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.