Evidence map›Paper›PMID 40096328›Full record

ReviewSensors (Basel, Switzerland)2025

Transdisciplinary Innovations in Athlete Health: 3D-Printable Wearable Sensors for Health Monitoring and Sports Psychology.

Mustafa Onder Sekeroglu, Metin Pekgor, Aydolu Algin, Turhan Toros, Emre Serin, Meliha Uzun, Gunay Cerit, Tugba Onat, Sermin Agrali Ermis

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Review
  6. Review
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

9 authors.

Mustafa Onder SekerogluFaculty of Sport Sciences, Mus Alparslan University, Mus 49001, Türkiye.ORCID 0000-0002-8868-507X
Metin PekgorDepartment of Mechanical and Product Design Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia.ORCID 0000-0001-9634-4630
Aydolu AlginFaculty of Medicine, Akdeniz University, Antalya 07058, Türkiye.ORCID 0000-0003-0376-114X
Turhan TorosDepartment of Coaching Education, Faculty of Sport Sciences, Mersin University, Mersin 33110, Türkiye.ORCID 0000-0002-8328-2925
Emre SerinDepartment of Coaching Education, Faculty of Sport Sciences, Mersin University, Mersin 33110, Türkiye.ORCID 0000-0001-9596-2912
Meliha UzunHigh School of Physical Education and Sports, Sirnak University, Sirnak 73000, Türkiye.ORCID 0000-0002-1691-3504
Gunay CeritHigh School of Physical Education and Sports, Sirnak University, Sirnak 73000, Türkiye.ORCID 0000-0001-9151-4071
Tugba OnatFaculty of Sport Sciences, Hakkari University, Hakkari 30000, Türkiye.ORCID 0000-0003-0794-0890
Sermin Agrali ErmisFaculty of Sport Sciences, Aydin Adnan Menderes University, Aydin 09010, Türkiye.ORCID 0000-0002-9653-233X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of 3D printing technology into wearable sensor systems has catalyzed a paradigm shift in sports psychology and athlete health monitoring by enabling real-time, personalized data collection on physiological and psychological states. In this study, not only is the technical potential of these advancements examined but their real-world applications in sports psychology are also critically assessed. While the existing research primarily focuses on sensor fabrication and data acquisition, a significant gap remains in the evaluation of their direct impact on decision-making processes in coaching, mental resilience, and long-term psychological adaptation in athletes. A critical analysis of the current state of 3D-printed wearable sensors is conducted, highlighting both their advantages and limitations. By combining theoretical insights with practical considerations, a comprehensive framework is established for understanding how sensor-based interventions can be effectively incorporated into sports training and psychological evaluation. Future research should prioritize longitudinal studies, athlete-centered validation, and interdisciplinary collaborations to bridge the gap between technological developments and real-world applications. Additionally, the integration of artificial intelligence and advanced biomaterials has significant potential to enhance the reliability and interpretability of sensor-driven interventions. However, without rigorous scientific validation, their effectiveness remains uncertain. This study highlights the importance of a systematic approach in implementing and evaluating 3D-printed wearable sensors in sports psychology.

Indexed as

AthletesPrinting, Three-DimensionalPsychology, SportsWearable Electronic DevicesHumansMonitoring, Physiologic3D printingathlete performancehealth monitoringsports psychologywearable sensors

Identifiers

PMID40096328
PMCPMC11902809

What OpenQuestion holds

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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.