Cargando…
Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts
PURPOSE: Heart rate variability (HRV) indices have been used as stress indicators. Rare studies investigated the associations of circadian rhythms of the HRV indices with the stress, mood, and sleep conditions in populations under stress. METHODS: In total 257 female participants (203 shift workers...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549795/ https://www.ncbi.nlm.nih.gov/pubmed/36225321 http://dx.doi.org/10.2147/NSS.S377762 |
_version_ | 1784805750267183104 |
---|---|
author | Deng, Saiyue Wang, Quan Fan, Jingjing Yang, Xiaoyun Mei, Junhua Lu, Jiajia Chen, Guohua Yang, Yuan Liu, Wenhua Wang, Runsen Han, Yujia Sheng, Rong Wang, Wei Ba, Li Ding, Fengfei |
author_facet | Deng, Saiyue Wang, Quan Fan, Jingjing Yang, Xiaoyun Mei, Junhua Lu, Jiajia Chen, Guohua Yang, Yuan Liu, Wenhua Wang, Runsen Han, Yujia Sheng, Rong Wang, Wei Ba, Li Ding, Fengfei |
author_sort | Deng, Saiyue |
collection | PubMed |
description | PURPOSE: Heart rate variability (HRV) indices have been used as stress indicators. Rare studies investigated the associations of circadian rhythms of the HRV indices with the stress, mood, and sleep conditions in populations under stress. METHODS: In total 257 female participants (203 shift workers and 54 non-shift workers) were included. All the participants completed a structured questionnaire to assess the stress, mood, and sleep conditions and performed 24-hour Holter electrocardiogram monitoring on the day away from shifts. Using epochs of 1-min or 5-min beat-to-beat intervals, the HRV indices (SDNN, RMSSD, LF, HF, LF/HF, and LFnu, SD1, SD2, SD1/SD2) were plotted as a function of time and fitted into cosine periodic curves, respectively. Three mathematical parameters based on the cosine periodic curves were extracted, MESOR (M, overall averages of the cosine curve), amplitude (A, amplitude of the peak of the cosine curve), and acrophase (θ, latency to the peak) to quantify the circadian rhythms of the HRV indices. Multivariable linear regression models were used to reveal the associations of these parameters with the clinical assessments of stress, mood, or sleep conditions, as well as with the 24-h averages of the HRV indices. RESULTS: The parameters M and A of SDNN, RMSSD, LF, and HF, and θ of LF/HF and LFnu significantly differ between shift and non-shift workers. The parameter θ of LF/HF positively correlates with the severity of stress and anxiety. The parameter A of LF/HF and LFnu also positively correlates with daytime sleepiness and sleep fragmentation. In addition, the parameters M and A instead of θ of SDNN, RMSSD, LF, LF/HF, and LFnu significantly correlate with the 24-h averages of HRV indices. CONCLUSION: The circadian rhythms of the HRV indices over 24 hours can, to some extent, predict the severity of stress, emotion and sleep conditions in female populations under stress. |
format | Online Article Text |
id | pubmed-9549795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-95497952022-10-11 Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts Deng, Saiyue Wang, Quan Fan, Jingjing Yang, Xiaoyun Mei, Junhua Lu, Jiajia Chen, Guohua Yang, Yuan Liu, Wenhua Wang, Runsen Han, Yujia Sheng, Rong Wang, Wei Ba, Li Ding, Fengfei Nat Sci Sleep Original Research PURPOSE: Heart rate variability (HRV) indices have been used as stress indicators. Rare studies investigated the associations of circadian rhythms of the HRV indices with the stress, mood, and sleep conditions in populations under stress. METHODS: In total 257 female participants (203 shift workers and 54 non-shift workers) were included. All the participants completed a structured questionnaire to assess the stress, mood, and sleep conditions and performed 24-hour Holter electrocardiogram monitoring on the day away from shifts. Using epochs of 1-min or 5-min beat-to-beat intervals, the HRV indices (SDNN, RMSSD, LF, HF, LF/HF, and LFnu, SD1, SD2, SD1/SD2) were plotted as a function of time and fitted into cosine periodic curves, respectively. Three mathematical parameters based on the cosine periodic curves were extracted, MESOR (M, overall averages of the cosine curve), amplitude (A, amplitude of the peak of the cosine curve), and acrophase (θ, latency to the peak) to quantify the circadian rhythms of the HRV indices. Multivariable linear regression models were used to reveal the associations of these parameters with the clinical assessments of stress, mood, or sleep conditions, as well as with the 24-h averages of the HRV indices. RESULTS: The parameters M and A of SDNN, RMSSD, LF, and HF, and θ of LF/HF and LFnu significantly differ between shift and non-shift workers. The parameter θ of LF/HF positively correlates with the severity of stress and anxiety. The parameter A of LF/HF and LFnu also positively correlates with daytime sleepiness and sleep fragmentation. In addition, the parameters M and A instead of θ of SDNN, RMSSD, LF, LF/HF, and LFnu significantly correlate with the 24-h averages of HRV indices. CONCLUSION: The circadian rhythms of the HRV indices over 24 hours can, to some extent, predict the severity of stress, emotion and sleep conditions in female populations under stress. Dove 2022-10-06 /pmc/articles/PMC9549795/ /pubmed/36225321 http://dx.doi.org/10.2147/NSS.S377762 Text en © 2022 Deng et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Deng, Saiyue Wang, Quan Fan, Jingjing Yang, Xiaoyun Mei, Junhua Lu, Jiajia Chen, Guohua Yang, Yuan Liu, Wenhua Wang, Runsen Han, Yujia Sheng, Rong Wang, Wei Ba, Li Ding, Fengfei Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts |
title | Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts |
title_full | Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts |
title_fullStr | Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts |
title_full_unstemmed | Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts |
title_short | Correlation of Circadian Rhythms of Heart Rate Variability Indices with Stress, Mood, and Sleep Status in Female Medical Workers with Night Shifts |
title_sort | correlation of circadian rhythms of heart rate variability indices with stress, mood, and sleep status in female medical workers with night shifts |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549795/ https://www.ncbi.nlm.nih.gov/pubmed/36225321 http://dx.doi.org/10.2147/NSS.S377762 |
work_keys_str_mv | AT dengsaiyue correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT wangquan correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT fanjingjing correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT yangxiaoyun correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT meijunhua correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT lujiajia correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT chenguohua correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT yangyuan correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT liuwenhua correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT wangrunsen correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT hanyujia correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT shengrong correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT wangwei correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT bali correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts AT dingfengfei correlationofcircadianrhythmsofheartratevariabilityindiceswithstressmoodandsleepstatusinfemalemedicalworkerswithnightshifts |