ReviewDigital health
Scoping review of digital health technologies and interventions that target lifestyle behavior change in Singapore.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effectiveness of digital health interventions on anthropometric and healthy behavior in women with polycystic ovarian syndrome: a systematic review with meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Childhood Obesity: Global Burden, Multifactorial Etiologies, Biological Mechanisms, and Emerging Interventions for Prevention and Management.Saudi medical journal · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: A rise in non-communicable diseases, driven by poor lifestyle behaviors, demands a shift from conventional, reactive, and episodic care to next-gen, proactive, and real-time lifestyle management. Digital health technologies (DHTs) and digital health interventions (DHIs) are poised to shepherd this transformation. Given the proliferation of digital health applications, a scoping review was conducted to map the DHTs and DHIs targeting lifestyle behavior change in Singapore. Methods: A systematic search of PubMed, Scopus, and clinical trial registries and a manual search of gray literature and mobile app stores were conducted to identify patient-facing IoT (internet of things) technologies (wearables, apps, bots, websites) that target physical activity, diet, tobacco/alcohol use, sleep quality, and/or mindfulness in Singapore from 2013 to 2023. Results: Forty-six DHTs and thirty-five DHIs were identified. Apps were the most common while websites and bots were the least common. Most DHTs and DHIs played monitoring or preventative behavior change functions. Most applications targeted multiple behaviors, with physical activity being the most common and tobacco/alcohol use being the least common. Behavioral change strategies included feedback and monitoring (80%), goals and planning (70%), associations (62%), personalization (59%), gamification (54%), rewards (33%), human coaching (30%), and just-in-time adaptations (4%). Conclusion: This review identified gaps in digital health applications that address addictive behaviors and the elderly. Future efforts should prioritize adaptive, personalized technologies based on user-centric designs and robust behavioral frameworks to enhance long-term behavioral change. Insights from Singapore's experience can guide the global development of more effective health-improving digital applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.