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Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia
The objective assessment of insomnia has remained difficult. Multisensory devices collecting heart rate (HR) and motion are regarded as the future of ambulatory sleep monitoring. Unfortunately, reports on altered average HR or heart rate variability (HRV) during sleep in insomnia are equivocal. Here...
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Published in: | Sleep (New York, N.Y.) N.Y.), 2022-05, Vol.45 (5) |
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container_title | Sleep (New York, N.Y.) |
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creator | Rösler, Lara van der Lande, Glenn Leerssen, Jeanne Vandegriffe, Austin G Lakbila-Kamal, Oti Foster-Dingley, Jessica C Albers, Anne C W van Someren, Eus J W |
description | The objective assessment of insomnia has remained difficult. Multisensory devices collecting heart rate (HR) and motion are regarded as the future of ambulatory sleep monitoring. Unfortunately, reports on altered average HR or heart rate variability (HRV) during sleep in insomnia are equivocal. Here, we evaluated whether the objective quantification of insomnia improves by assessing state-related changes in cardiac measures.
We recorded electrocardiography, posture, and actigraphy in 33 people without sleep complaints and 158 patients with mild to severe insomnia over 4 d in their home environment. At the microscale, we investigated whether HR changed with proximity to gross (body) and small (wrist) movements at nighttime. At the macroscale, we calculated day-night differences in HR and HRV measures. For both timescales, we tested whether outcome measures were related to insomnia diagnosis and severity.
At the microscale, an increase in HR was often detectable already 60 s prior to as well as following a nocturnal chest, but not wrist, movement. This increase was slightly steeper in insomnia and was associated with insomnia severity, but future EEG recordings are necessary to elucidate whether these changes occur prior to or simultaneously with PSG-indicators of wakefulness. At the macroscale, we found an attenuated cardiac response to sleep in insomnia: patients consistently showed smaller day-night differences in HR and HRV.
Incorporating state-related changes in cardiac features in the ambulatory monitoring of sleep might provide a more sensitive biomarker of insomnia than the use of cardiac activity averages or actigraphy alone. |
doi_str_mv | 10.1093/sleep/zsac031 |
format | article |
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We recorded electrocardiography, posture, and actigraphy in 33 people without sleep complaints and 158 patients with mild to severe insomnia over 4 d in their home environment. At the microscale, we investigated whether HR changed with proximity to gross (body) and small (wrist) movements at nighttime. At the macroscale, we calculated day-night differences in HR and HRV measures. For both timescales, we tested whether outcome measures were related to insomnia diagnosis and severity.
At the microscale, an increase in HR was often detectable already 60 s prior to as well as following a nocturnal chest, but not wrist, movement. This increase was slightly steeper in insomnia and was associated with insomnia severity, but future EEG recordings are necessary to elucidate whether these changes occur prior to or simultaneously with PSG-indicators of wakefulness. At the macroscale, we found an attenuated cardiac response to sleep in insomnia: patients consistently showed smaller day-night differences in HR and HRV.
Incorporating state-related changes in cardiac features in the ambulatory monitoring of sleep might provide a more sensitive biomarker of insomnia than the use of cardiac activity averages or actigraphy alone.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsac031</identifier><identifier>PMID: 35554586</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Actigraphy ; Arousal - physiology ; Humans ; Insomnia and Psychiatric Disorders ; Polysomnography ; Sleep - physiology ; Sleep Initiation and Maintenance Disorders - complications ; Sleep Initiation and Maintenance Disorders - diagnosis</subject><ispartof>Sleep (New York, N.Y.), 2022-05, Vol.45 (5)</ispartof><rights>Sleep Research Society 2022. Published by Oxford University Press on behalf of the Sleep Research Society.</rights><rights>Sleep Research Society 2022. Published by Oxford University Press on behalf of the Sleep Research Society. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-9581-0388 ; 0000-0002-9970-8791 ; 0000-0003-1046-1073</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35554586$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rösler, Lara</creatorcontrib><creatorcontrib>van der Lande, Glenn</creatorcontrib><creatorcontrib>Leerssen, Jeanne</creatorcontrib><creatorcontrib>Vandegriffe, Austin G</creatorcontrib><creatorcontrib>Lakbila-Kamal, Oti</creatorcontrib><creatorcontrib>Foster-Dingley, Jessica C</creatorcontrib><creatorcontrib>Albers, Anne C W</creatorcontrib><creatorcontrib>van Someren, Eus J W</creatorcontrib><title>Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>The objective assessment of insomnia has remained difficult. Multisensory devices collecting heart rate (HR) and motion are regarded as the future of ambulatory sleep monitoring. Unfortunately, reports on altered average HR or heart rate variability (HRV) during sleep in insomnia are equivocal. Here, we evaluated whether the objective quantification of insomnia improves by assessing state-related changes in cardiac measures.
We recorded electrocardiography, posture, and actigraphy in 33 people without sleep complaints and 158 patients with mild to severe insomnia over 4 d in their home environment. At the microscale, we investigated whether HR changed with proximity to gross (body) and small (wrist) movements at nighttime. At the macroscale, we calculated day-night differences in HR and HRV measures. For both timescales, we tested whether outcome measures were related to insomnia diagnosis and severity.
At the microscale, an increase in HR was often detectable already 60 s prior to as well as following a nocturnal chest, but not wrist, movement. This increase was slightly steeper in insomnia and was associated with insomnia severity, but future EEG recordings are necessary to elucidate whether these changes occur prior to or simultaneously with PSG-indicators of wakefulness. At the macroscale, we found an attenuated cardiac response to sleep in insomnia: patients consistently showed smaller day-night differences in HR and HRV.
Incorporating state-related changes in cardiac features in the ambulatory monitoring of sleep might provide a more sensitive biomarker of insomnia than the use of cardiac activity averages or actigraphy alone.</description><subject>Actigraphy</subject><subject>Arousal - physiology</subject><subject>Humans</subject><subject>Insomnia and Psychiatric Disorders</subject><subject>Polysomnography</subject><subject>Sleep - physiology</subject><subject>Sleep Initiation and Maintenance Disorders - complications</subject><subject>Sleep Initiation and Maintenance Disorders - diagnosis</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpVUNtKAzEQDaLYWn30VfIDa5PNprt5EaR4g4IvfV8mF9vIJlmSXaXixxvrBYWBw8yZc-YwCJ1TckmJYPPUGdPP3xIowugBmlLOSSEydYimhC5o0VDCJ-gkpWeS-0qwYzRhnPOKN4spel8GJ623foMVRG1BYRe8HUL8HL3aYYtBDXYTod_uMFidsA9qGKOHDkMMY8qozWDyUvBYj3sdODl2kE12eJ8PQ0omJWf8gK3PlYLzFk7R0RN0yZx94wytb2_Wy_ti9Xj3sLxeFX3dVAUQIbkEKkppBKVGVKxe1FqUVColWVNDaZhgJjNc8UaWWhtBhGo0IVo1ks3Q1ZdtP0pntMopInRtH62DuGsD2PY_4-223YSXNl9jhFbZ4OKvwa_y543sAwyIe4I</recordid><startdate>20220512</startdate><enddate>20220512</enddate><creator>Rösler, Lara</creator><creator>van der Lande, Glenn</creator><creator>Leerssen, Jeanne</creator><creator>Vandegriffe, Austin G</creator><creator>Lakbila-Kamal, Oti</creator><creator>Foster-Dingley, Jessica C</creator><creator>Albers, Anne C W</creator><creator>van Someren, Eus J W</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9581-0388</orcidid><orcidid>https://orcid.org/0000-0002-9970-8791</orcidid><orcidid>https://orcid.org/0000-0003-1046-1073</orcidid></search><sort><creationdate>20220512</creationdate><title>Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia</title><author>Rösler, Lara ; van der Lande, Glenn ; Leerssen, Jeanne ; Vandegriffe, Austin G ; Lakbila-Kamal, Oti ; Foster-Dingley, Jessica C ; Albers, Anne C W ; van Someren, Eus J W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p784-a09b5ba192be911e943767d921bccb387a2e393e1e95c58b2dde909c8d00dc8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Actigraphy</topic><topic>Arousal - physiology</topic><topic>Humans</topic><topic>Insomnia and Psychiatric Disorders</topic><topic>Polysomnography</topic><topic>Sleep - physiology</topic><topic>Sleep Initiation and Maintenance Disorders - complications</topic><topic>Sleep Initiation and Maintenance Disorders - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rösler, Lara</creatorcontrib><creatorcontrib>van der Lande, Glenn</creatorcontrib><creatorcontrib>Leerssen, Jeanne</creatorcontrib><creatorcontrib>Vandegriffe, Austin G</creatorcontrib><creatorcontrib>Lakbila-Kamal, Oti</creatorcontrib><creatorcontrib>Foster-Dingley, Jessica C</creatorcontrib><creatorcontrib>Albers, Anne C W</creatorcontrib><creatorcontrib>van Someren, Eus J W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rösler, Lara</au><au>van der Lande, Glenn</au><au>Leerssen, Jeanne</au><au>Vandegriffe, Austin G</au><au>Lakbila-Kamal, Oti</au><au>Foster-Dingley, Jessica C</au><au>Albers, Anne C W</au><au>van Someren, Eus J W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>2022-05-12</date><risdate>2022</risdate><volume>45</volume><issue>5</issue><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>The objective assessment of insomnia has remained difficult. Multisensory devices collecting heart rate (HR) and motion are regarded as the future of ambulatory sleep monitoring. Unfortunately, reports on altered average HR or heart rate variability (HRV) during sleep in insomnia are equivocal. Here, we evaluated whether the objective quantification of insomnia improves by assessing state-related changes in cardiac measures.
We recorded electrocardiography, posture, and actigraphy in 33 people without sleep complaints and 158 patients with mild to severe insomnia over 4 d in their home environment. At the microscale, we investigated whether HR changed with proximity to gross (body) and small (wrist) movements at nighttime. At the macroscale, we calculated day-night differences in HR and HRV measures. For both timescales, we tested whether outcome measures were related to insomnia diagnosis and severity.
At the microscale, an increase in HR was often detectable already 60 s prior to as well as following a nocturnal chest, but not wrist, movement. This increase was slightly steeper in insomnia and was associated with insomnia severity, but future EEG recordings are necessary to elucidate whether these changes occur prior to or simultaneously with PSG-indicators of wakefulness. At the macroscale, we found an attenuated cardiac response to sleep in insomnia: patients consistently showed smaller day-night differences in HR and HRV.
Incorporating state-related changes in cardiac features in the ambulatory monitoring of sleep might provide a more sensitive biomarker of insomnia than the use of cardiac activity averages or actigraphy alone.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>35554586</pmid><doi>10.1093/sleep/zsac031</doi><orcidid>https://orcid.org/0000-0001-9581-0388</orcidid><orcidid>https://orcid.org/0000-0002-9970-8791</orcidid><orcidid>https://orcid.org/0000-0003-1046-1073</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Actigraphy Arousal - physiology Humans Insomnia and Psychiatric Disorders Polysomnography Sleep - physiology Sleep Initiation and Maintenance Disorders - complications Sleep Initiation and Maintenance Disorders - diagnosis |
title | Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia |
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