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Digital nudging interventions show promise for behavior change in addiction and lifestyle medicine domainsDigital Nudging Shows Potential to Help Manage Addiction Habits

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Key Takeaway
Note the potential of digital nudges for behavior change in addiction, though evidence remains limited by short-term designs.

This scoping review synthesized 52 studies to map the current evidence regarding digital nudging interventions across five pillars of Lifestyle Medicine: nutrition, physical activity, mind-body health, sleep, and addiction. These interventions were delivered via mobile apps, web platforms, augmented reality, chatbots, and voice-activated systems.

The review found that nutrition and physical activity were the most frequently targeted domains, accounting for more than three-quarters of the included studies. Other pillars, including sleep and mind-body health, were less frequently represented in the current literature. The evidence suggests that digital nudges may drive behavior change, particularly when integrated with Artificial Intelligence or advanced technologies.

Several limitations were noted, including a prevalence of short-term study designs and limited diversity in participant populations. Additionally, there is an underrepresentation of certain Lifestyle Medicine pillars within the existing research. These factors suggest that while the potential for digital nudging is notable, the current evidence base is not yet sufficient to confirm specific clinical efficacy for all interventions.

A scoping review of 52 studies looked at how "digital nudging" can influence health behaviors. These interventions include one-way messages, peer interactions, and self-nudging delivered through mobile apps, websites, chatbots, and voice systems. The goal was to see how these tools could support pillars like nutrition, sleep, and addiction management.

The review found that while digital nudges are being used in many areas, most current research focuses on nutrition and physical activity. These two areas made up more than three-quarters of the studies reviewed. The findings suggest that technology can be a helpful tool for encouraging positive lifestyle changes.

Because this was a scoping review, it highlights potential rather than proving exactly how well specific nudges work in clinical practice. Many of the included studies were short-term and had limited diversity in the people who participated. These results show that while digital tools are promising, more research is needed to see their long-term effects.

What this means for you:
Digital nudges via apps and chatbots show potential for behavior change but need more long-term research.

Common questions

What are digital nudging interventions?

Digital nudging refers to using technology like mobile apps, web-based platforms, augmented reality, chatbots, and voice-activated systems to encourage specific behaviors. These can include one-way messages, interactions with the system, peer interactions, or self-nudging prompts.

Which health areas are most commonly targeted by these tools?

The review found that nutrition and physical activity were the most frequently targeted areas. These two categories accounted for more than three-quarters of the studies included in the review regarding lifestyle medicine.

Is digital nudging proven to cure addiction?

The research highlights the potential of digital nudges to drive behavior change, but it does not confirm clinical efficacy. Because many studies were short-term and lacked participant diversity, you should talk to a doctor about specific treatment plans.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedJul 2026
View Original 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.
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