{"title":"调查ICU护士的职业压力:使用心率变异性和腕带加速度计数据对精神和身体压力的比较分析。","authors":"Samira Ziyadidegan, Farzan Sasangohar, Pratima Saravanan, Valerie Danesh, Faisal Masud","doi":"10.1177/00187208261417155","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectiveThis study examined a novel method to differentiate between mental and physical stress using Baevsky's Enhanced Stress Technique.BackgroundOccupational stress events, whether mental or physical, are handled by the sympathetic and parasympathetic nervous systems, which have been shown to be associated with heart rate variability (HRV), but have not been previously differentiated.MethodNaturalistic HRV and accelerometer data were measured continuously using wrist-worn sensors during a typical 12-h direct-care nursing shift (28 ICU nurses). Physical and mental stress events were calculated using the Baevsky's Stress Index, and Activity Index was used to investigate their differences between mental and combined mental and physical stress.ResultsRoot mean square of successive differences between heartbeats (RMSSD), which is associated with the parasympathetic nervous system activity as well as low-frequency power/high-frequency power (LF/HF ratio), and the alpha value of detrended fluctuation analysis (DFA a2), which are associated with the balance between sympathetic and parasympathetic nervous system activity, were the most predictive features of stress events (accounting for AUC of 85.46).ConclusionBaevsky's Enhanced Stress Technique shows promise in assessing occupational mental stress among ICU nurses. There were more persistent and significant physiological changes in HRV associated with combined mental and physical stress events.ApplicationFindings suggest a new stress measurement method for classifying occupational mental stress. Measurement using wrist-worn accelerometer and HRV data sources has pragmatic relevance to the design of real-time, noninvasive, and cost-efficient stress monitoring tools relevant to applications in high-stress work environments.</p>","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"545-562"},"PeriodicalIF":3.6000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating Occupational Stress in ICU Nurses: A Comparative Analysis of Mental and Physical Stress Using Heart Rate Variability and Wrist-Worn Accelerometer Data.\",\"authors\":\"Samira Ziyadidegan, Farzan Sasangohar, Pratima Saravanan, Valerie Danesh, Faisal Masud\",\"doi\":\"10.1177/00187208261417155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>ObjectiveThis study examined a novel method to differentiate between mental and physical stress using Baevsky's Enhanced Stress Technique.BackgroundOccupational stress events, whether mental or physical, are handled by the sympathetic and parasympathetic nervous systems, which have been shown to be associated with heart rate variability (HRV), but have not been previously differentiated.MethodNaturalistic HRV and accelerometer data were measured continuously using wrist-worn sensors during a typical 12-h direct-care nursing shift (28 ICU nurses). Physical and mental stress events were calculated using the Baevsky's Stress Index, and Activity Index was used to investigate their differences between mental and combined mental and physical stress.ResultsRoot mean square of successive differences between heartbeats (RMSSD), which is associated with the parasympathetic nervous system activity as well as low-frequency power/high-frequency power (LF/HF ratio), and the alpha value of detrended fluctuation analysis (DFA a2), which are associated with the balance between sympathetic and parasympathetic nervous system activity, were the most predictive features of stress events (accounting for AUC of 85.46).ConclusionBaevsky's Enhanced Stress Technique shows promise in assessing occupational mental stress among ICU nurses. There were more persistent and significant physiological changes in HRV associated with combined mental and physical stress events.ApplicationFindings suggest a new stress measurement method for classifying occupational mental stress. Measurement using wrist-worn accelerometer and HRV data sources has pragmatic relevance to the design of real-time, noninvasive, and cost-efficient stress monitoring tools relevant to applications in high-stress work environments.</p>\",\"PeriodicalId\":56333,\"journal\":{\"name\":\"Human Factors\",\"volume\":\" \",\"pages\":\"545-562\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2026-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Factors\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/00187208261417155\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/1/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00187208261417155","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
Investigating Occupational Stress in ICU Nurses: A Comparative Analysis of Mental and Physical Stress Using Heart Rate Variability and Wrist-Worn Accelerometer Data.
ObjectiveThis study examined a novel method to differentiate between mental and physical stress using Baevsky's Enhanced Stress Technique.BackgroundOccupational stress events, whether mental or physical, are handled by the sympathetic and parasympathetic nervous systems, which have been shown to be associated with heart rate variability (HRV), but have not been previously differentiated.MethodNaturalistic HRV and accelerometer data were measured continuously using wrist-worn sensors during a typical 12-h direct-care nursing shift (28 ICU nurses). Physical and mental stress events were calculated using the Baevsky's Stress Index, and Activity Index was used to investigate their differences between mental and combined mental and physical stress.ResultsRoot mean square of successive differences between heartbeats (RMSSD), which is associated with the parasympathetic nervous system activity as well as low-frequency power/high-frequency power (LF/HF ratio), and the alpha value of detrended fluctuation analysis (DFA a2), which are associated with the balance between sympathetic and parasympathetic nervous system activity, were the most predictive features of stress events (accounting for AUC of 85.46).ConclusionBaevsky's Enhanced Stress Technique shows promise in assessing occupational mental stress among ICU nurses. There were more persistent and significant physiological changes in HRV associated with combined mental and physical stress events.ApplicationFindings suggest a new stress measurement method for classifying occupational mental stress. Measurement using wrist-worn accelerometer and HRV data sources has pragmatic relevance to the design of real-time, noninvasive, and cost-efficient stress monitoring tools relevant to applications in high-stress work environments.
期刊介绍:
Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.