Evidence map›Paper›PMID 38676044›Full record

ReviewSensors (Basel, Switzerland)2024

A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being.

Carolina Del-Valle-Soto, Juan Carlos López-Pimentel, Javier Vázquez-Castillo, Juan Arturo Nolazco-Flores, Ramiro Velázquez, José Varela-Aldás, Paolo Visconti

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
  6. Night Watch: A Survey of Older Adult Sleep-Tracking.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  7. Postpartum cardio-obstetrics rehabilitation program for women after hypertensive pregnancy: A single-arm proof-of-concept study.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  8. Observational
  9. Review
  10. Article
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  15. Article
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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

7 authors.

Carolina Del-Valle-SotoFacultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico.ORCID 0000-0002-0272-3275
Juan Carlos López-PimentelFacultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico.ORCID 0000-0002-7844-3261
Javier Vázquez-CastilloDepartment of Informatics and Networking, Universidad Autónoma del Estado de Quintana Roo, Chetumal 77019, Mexico.
Juan Arturo Nolazco-FloresSchool of Engineering and Science, Tecnólogico de Monterrey, Monterrey 64849, Mexico.ORCID 0000-0002-4187-9352
Ramiro VelázquezFacultad de Ingeniería, Universidad Panamericana, Aguascalientes 20296, Mexico.ORCID 0000-0001-9966-9131
José Varela-AldásCentro de Investigaciones de Ciencias Humanas y de la Educación-CICHE, Universidad Indoamérica, Ambato 180103, Ecuador.ORCID 0000-0002-4084-1424
Paolo ViscontiDepartment of Innovation Engineering, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-4058-4042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research paper delves into the effectiveness and impact of behavior change techniques fostered by information technologies, particularly wearables and Internet of Things (IoT) devices, within the realms of engineering and computer science. By conducting a comprehensive review of the relevant literature sourced from the Scopus database, this study aims to elucidate the mechanisms and strategies employed by these technologies to facilitate behavior change and their potential benefits to individuals and society. Through statistical measurements and related works, our work explores the trends over a span of two decades, from 2000 to 2023, to understand the evolving landscape of behavior change techniques in wearable and IoT technologies. A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior. The findings shed light on the promising role of wearables and IoT devices for promoting positive behavior modifications and improving individuals' overall well-being and highlighting the need for continued research and development in this area to harness the full potential of technology for societal benefit.

Indexed as

Internet of ThingsWearable Electronic DevicesHumansbehavior change techniquesInternet of Thingswearables

Identifiers

PMID38676044
PMCPMC11054424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.