Evidence mapPaperPMID 42598347Full record

SynthesisFrontiers in digital health2026

Digital nudging techniques for behaviour change in lifestyle medicine: a scoping review.

David Taniar, Emma King, Sam Manger, Karen Carlisle

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

David TaniarFaculty of Information Technology, Monash University, Clayton, VIC, Australia.
Emma KingCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.
Sam MangerCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.
Karen CarlisleCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital nudging has emerged as a promising strategy for promoting health-related behaviour change within the context of Lifestyle Medicine (LM). This scoping review systematically mapped the current evidence on digital nudging interventions across pillars of LM, including nutrition, physical activity (PA), mind-body health, sleep, and addiction. A total of 52 studies were included, covering a range of technologies, such as mobile apps, web-based platforms, augmented reality, chatbots, and voice-activated systems. These technologies served as platforms or mechanisms for delivering digital nudges rather than constituting distinct nudging categories. Through thematic analysis, digital nudging interventions were categorised into four types: (i) one-way nudging, (ii) nudging through system interactions, (iii) nudging via peer interaction, and (iv) self-nudging. Nutrition and physical activity were the most frequently targeted LM domains, accounting for more than three-quarters of the studies. The review highlights the potential of digital nudges to drive behaviour change, particularly when integrated with Artificial Intelligence (AI) or advanced technologies. However, gaps remain, including short-term study designs, limited diversity in participant populations, and underrepresentation of certain LM pillars. Future research should prioritise long-term studies with broader and more diverse populations. Enhanced interdisciplinary collaboration is crucial to advancing the design and implementation of effective digital nudging strategies in lifestyle medicine.

Indexed as

digital nudgingemerging technologyhealth-related behaviour changelifestyle medicinenutritionphysical activity

Identifiers

PMID42598347
PMCPMC13470668

What Socratic holds

Textmetadata
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 Socratic graph.