Improving Worker Health With Wearable Technology in a Power Plant

Wearable device interventions can effectively improve cognitive, respiratory, physical, and body composition parameters in high-risk industrial workers, representing a viable tool for occupational health promotion.

Authors

Institutions

Publication Details

Journal
Journal of Occupational and Environmental Medicine
Published
2025-11-14
DOI
https://doi.org/10.1097/jom.0000000000003620
Primary Topic
Indoor Air Quality and Microbial Exposure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Worker Health With Wearable Technology in a Power Plant

Ting‐Fu Lai, Jeong Su Cho, Jong‐Hwan Park, Jae‐Il Lee et al.
Journal of Occupational and Environmental Medicine
Indoor Air Quality and Microbial Exposure
article

Improving Worker Health With Wearable Technology in a Power Plant

Ting‐Fu Lai, Jeong Su Cho, Jong‐Hwan Park, Jae‐Il Lee, Hyuk Jin Choi
article en

Abstract

Wearable device interventions can effectively improve cognitive, respiratory, physical, and body composition parameters in high-risk industrial workers, representing a viable tool for occupational health promotion.

Journal of Occupational and Environmental MedicineVol. 68(4)
National Taiwan Normal University (TW), Schlumberger (Ireland) (IE), Pusan National University Hospital (KR), Pusan National University Yangsan Hospital (KR), Taipei Medical University (TW), Pusan National University (KR)
Openalex Percentile: Top 57%
Indoor Air Quality and Microbial Exposure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.