Work-related mental stress in confined tunnel construction environments: a field study with heart rate variability (HRV).
This study conducted a non-interventional longitudinal study to collect physiological data from tunnel construction workers using an Internet-of-Things-based photoplethysmography physiological monitoring system. The analysis results indicated that among tunnel workers, the SDNN and RMSSD of muck car...
| Publicado en: | Ergonomics Vol. 69; no. 9; pp. 1835 - 1858 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Sep2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196513851&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196513851 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Sep2026 vid: 69 iid: 9 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 196513851 187276133 196513851 196513851 10.1080/00140139.2025.2543518 196513851 ppf: 1835 ppct: 23 formats: tig: atl: Work-related mental stress in confined tunnel construction environments: a field study with heart rate variability (HRV). aug: au: Wu, Lun-Wang Chen, Kun-Yi Tserng, Hui-Ping affil: Department of Civil Engineering, National Taiwan University, Taipei, Taiwan sug: subj: Blue Collar Workers Psychosocial Factors Stress, Occupational Psychosocial Factors Work Environment Construction Industry Heart Rate Variability Internet of Things Human Male Adult Field Studies Prospective Studies Plethysmography Truck Drivers Noise Personnel Staffing and Scheduling Mental Health Paired T-Tests Linear Regression Univariate Statistics Data Analysis Software Descriptive Statistics Funding Source Adult: 19-44 years Male ab: This study conducted a non-interventional longitudinal study to collect physiological data from tunnel construction workers using an Internet-of-Things-based photoplethysmography physiological monitoring system. The analysis results indicated that among tunnel workers, the SDNN and RMSSD of muck car drivers were significantly lower than those of other occupations, reflecting decreased sympathetic innervation or parasympathetic activity, which is typical of mental stress. During tunnel construction, many HRV indicators of workers were significantly higher in the morning and afternoon than during the lunch break. The most obvious physiological response to noise was observed in the muck car driver, where the SDNN, LF, and LF/HF indices increased significantly under noise >85dB. This study fills an empirical gap in the objective assessment of mental stress among tunnel workers, providing a reference for optimising work scheduling and task allocation. It provides a framework for occupational health monitoring and stress management strategies. PRACTITIONER SUMMARY: A non-interventional study using IoT-based photoplethysmography monitoring assessed mental stress in tunnel workers. Muck car drivers had lower SDNN/RMSSD, HRV was significantly higher in morning and afternoon than lunch, most HRV indicators showed weak or no correlation with noise (dB). pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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