Herman de Vries, Hilbrand Oldenhuis, Cees van der Schans, Robbert Sanderman, Wim Kamphuis
{"title":"睡眠时可穿戴测量的心率变异性能否预测早晨的身心健康状况?","authors":"Herman de Vries, Hilbrand Oldenhuis, Cees van der Schans, Robbert Sanderman, Wim Kamphuis","doi":"10.1007/s10484-022-09578-8","DOIUrl":null,"url":null,"abstract":"<div><p>The emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) during sleep predict the perceived mental and physical fitness of military personnel on the subsequent morning. Participants wore a Garmin wrist-worn wearable and filled in a short morning questionnaire on their perceived mental and physical fitness during a period of up to 46 days. A custom-built smartphone app was used to directly retrieve heart rate and accelerometer data from the wearable, on which open-source algorithms for sleep detection and artefact filtering were applied. A sample of 571 complete observations in 63 participants were analyzed using linear mixed models. Resting HRV during sleep was a small predictor of perceived physical fitness (marginal R<sup>2</sup> = .031), but not of mental fitness. The items on perceived mental and physical fitness were strongly correlated (r = .77). Based on the current findings, resting HRV during sleep appears to be more related to the physical component of perceived fitness than its mental component. Recommendations for future studies include improvements in the measurement of sleep and resting HRV, as well as further investigation of the potential impact of resting HRV as a buffer on stress-related outcomes.\n</p></div>","PeriodicalId":47506,"journal":{"name":"Applied Psychophysiology and Biofeedback","volume":"48 2","pages":"247 - 257"},"PeriodicalIF":2.2000,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10484-022-09578-8.pdf","citationCount":"1","resultStr":"{\"title\":\"Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?\",\"authors\":\"Herman de Vries, Hilbrand Oldenhuis, Cees van der Schans, Robbert Sanderman, Wim Kamphuis\",\"doi\":\"10.1007/s10484-022-09578-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) during sleep predict the perceived mental and physical fitness of military personnel on the subsequent morning. Participants wore a Garmin wrist-worn wearable and filled in a short morning questionnaire on their perceived mental and physical fitness during a period of up to 46 days. A custom-built smartphone app was used to directly retrieve heart rate and accelerometer data from the wearable, on which open-source algorithms for sleep detection and artefact filtering were applied. A sample of 571 complete observations in 63 participants were analyzed using linear mixed models. Resting HRV during sleep was a small predictor of perceived physical fitness (marginal R<sup>2</sup> = .031), but not of mental fitness. The items on perceived mental and physical fitness were strongly correlated (r = .77). Based on the current findings, resting HRV during sleep appears to be more related to the physical component of perceived fitness than its mental component. Recommendations for future studies include improvements in the measurement of sleep and resting HRV, as well as further investigation of the potential impact of resting HRV as a buffer on stress-related outcomes.\\n</p></div>\",\"PeriodicalId\":47506,\"journal\":{\"name\":\"Applied Psychophysiology and Biofeedback\",\"volume\":\"48 2\",\"pages\":\"247 - 257\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10484-022-09578-8.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Psychophysiology and Biofeedback\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10484-022-09578-8\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Psychophysiology and Biofeedback","FirstCategoryId":"102","ListUrlMain":"https://link.springer.com/article/10.1007/s10484-022-09578-8","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?
The emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) during sleep predict the perceived mental and physical fitness of military personnel on the subsequent morning. Participants wore a Garmin wrist-worn wearable and filled in a short morning questionnaire on their perceived mental and physical fitness during a period of up to 46 days. A custom-built smartphone app was used to directly retrieve heart rate and accelerometer data from the wearable, on which open-source algorithms for sleep detection and artefact filtering were applied. A sample of 571 complete observations in 63 participants were analyzed using linear mixed models. Resting HRV during sleep was a small predictor of perceived physical fitness (marginal R2 = .031), but not of mental fitness. The items on perceived mental and physical fitness were strongly correlated (r = .77). Based on the current findings, resting HRV during sleep appears to be more related to the physical component of perceived fitness than its mental component. Recommendations for future studies include improvements in the measurement of sleep and resting HRV, as well as further investigation of the potential impact of resting HRV as a buffer on stress-related outcomes.
期刊介绍:
Applied Psychophysiology and Biofeedback is an international, interdisciplinary journal devoted to study of the interrelationship of physiological systems, cognition, social and environmental parameters, and health. Priority is given to original research, basic and applied, which contributes to the theory, practice, and evaluation of applied psychophysiology and biofeedback. Submissions are also welcomed for consideration in several additional sections that appear in the journal. They consist of conceptual and theoretical articles; evaluative reviews; the Clinical Forum, which includes separate categories for innovative case studies, clinical replication series, extended treatment protocols, and clinical notes and observations; the Discussion Forum, which includes a series of papers centered around a topic of importance to the field; Innovations in Instrumentation; Letters to the Editor, commenting on issues raised in articles previously published in the journal; and select book reviews. Applied Psychophysiology and Biofeedback is the official publication of the Association for Applied Psychophysiology and Biofeedback.