ReviewPublic health reviews2025
Are Wearables Effective in LMICs?
Review in Public health reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
- Wearable Devices and Machine Learning in Cardiovascular Monitoring: Current Evidence and Future Directions for Precision Medicine.Journal of personalized medicine · 2026Review
- From Womb to Tomb: A Life-Course Perspective on the Origins of Non-communicable Diseases.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To provide an overview of research conducted in low- and middle-income countries that present the impact of wearables on non-communicable diseases' health outcomes, and factors that influence the adoption of wearables in these countries. Methods: We conducted a scoping review following the Arksey and O'Malley framework. Two databases, PubMed and Web of Science, were searched for relevant articles published between January 2010 and June 2023. We included studies set in low- and middle-income countries that focused either on the impact of wearables on changes in body mass index, blood pressure, and glycated hemoglobin levels or on the factors influencing wearables adoption. Results: A total of seventeen studies were included in the review out of the 890 identified during the search. Our findings suggest that wearables might be effective in improving health outcomes, such as body-mass-index and diastolic blood pressure, especially when used in conjunction with other health interventions. Conclusion: Wearables such as pedometers can be effective in improving health outcomes. Their widespread use in low- and middle-income countries is limited by different factors, including technological literacy, network coverage, and cultural considerations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.