Measuring psychosocial stress with heart rate variability-based methods in different health and age groups

Autonomic nervous system function and thereby bodily stress and recovery reactions may be assessed by wearable devices measuring heart rate (HR) and its variability (HRV). So far, the validity of HRV-based stress assessments has been mainly studied in healthy populations. In this study, we determine...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Physiological measurement 2022-05, Vol.43 (5), p.55002
Hauptverfasser: Seipäjärvi, Santtu M, Tuomola, Anniina, Juurakko, Joona, Rottensteiner, Mirva, Rissanen, Antti-Pekka E, Kurkela, Jari L O, Kujala, Urho M, Laukkanen, Jari A, Wikgren, Jan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 5
container_start_page 55002
container_title Physiological measurement
container_volume 43
creator Seipäjärvi, Santtu M
Tuomola, Anniina
Juurakko, Joona
Rottensteiner, Mirva
Rissanen, Antti-Pekka E
Kurkela, Jari L O
Kujala, Urho M
Laukkanen, Jari A
Wikgren, Jan
description Autonomic nervous system function and thereby bodily stress and recovery reactions may be assessed by wearable devices measuring heart rate (HR) and its variability (HRV). So far, the validity of HRV-based stress assessments has been mainly studied in healthy populations. In this study, we determined how psychosocial stress affects physiological and psychological stress responses in both young (18-30 years) and middle-aged (45-64 years) healthy individuals as well as in patients with arterial hypertension and/or either prior evidence of prediabetes or type 2 diabetes. We also studied how an HRV-based stress index (Relax-Stress Intensity, RSI) relates to perceived stress (PS) and cortisol (CRT) responses during psychosocial stress. A total of 197 participants were divided into three groups: (1) healthy young (HY,  = 63), (2) healthy middle-aged (HM,  = 61) and (3) patients with cardiometabolic risk factors (Pts,  = 73, 32-65 years). The participants underwent a group version of Trier Social Stress Test (TSST-G). HR, HRV (quantified as root mean square of successive differences of R-R intervals, RMSSD), RSI, PS, and salivary CRT were measured regularly during TSST-G and a subsequent recovery period. All groups showed significant stress reactions during TSST-G as indicated by significant responses of HR, RMSSD, RSI, PS, and salivary CRT. Between-group differences were also observed in all measures. Correlation and regression analyses implied RSI being the strongest predictor of CRT response, while HR was more closely associated with PS. The HRV-based stress index mirrors responses of CRT, which is an independent marker for physiological stress, around TSST-G. Thus, the HRV-based stress index may be used to quantify physiological responses to psychosocial stress across various health and age groups.
doi_str_mv 10.1088/1361-6579/ac6b7c
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1361_6579_ac6b7c</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2658230062</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326c-81aa115690ecbd5b4044478c7815b54024c7c551d4e4441c4aa6ae8cdd4682a93</originalsourceid><addsrcrecordid>eNp1kM1v1DAQxS1ERZfCnRPykQOhdvwR7xFVfEmteilna2JPdr1K4uBJQPvfk9WWcoHTSG_ee6P5MfZGig9SOHctlZWVNc32GoJtm_CMbZ6k52wjtraplFL6kr0kOgghpavNC3apjHar7DbscIdAS0njjk90DPtMOSToOc0FifivNO_5HqHMvMCM_CeUBG3q03ysWiCMfMB5nyPxNPKYug4LjvMp0a9BGCOHHfJdyctEr9hFBz3h68d5xb5__vRw87W6vf_y7ebjbRVUbUPlJICUxm4FhjaaVgutdeNC46RpjRa1Dk0wRkaN60IGDWABXYhRW1fDVl2xd-feqeQfC9Lsh0QB-x5GzAv52hpXKyFsvVrF2RpKJirY-amkAcrRS-FPhP0Jpz_h9GfCa-TtY_vSDhifAn-Q_j2f8uQPeSnj-qyfBgSvlTdeGCNE7afYrdb3_7D-9_RvFe-UCg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2658230062</pqid></control><display><type>article</type><title>Measuring psychosocial stress with heart rate variability-based methods in different health and age groups</title><source>MEDLINE</source><source>IOP Publishing Journals</source><source>Institute of Physics (IOP) Journals - HEAL-Link</source><creator>Seipäjärvi, Santtu M ; Tuomola, Anniina ; Juurakko, Joona ; Rottensteiner, Mirva ; Rissanen, Antti-Pekka E ; Kurkela, Jari L O ; Kujala, Urho M ; Laukkanen, Jari A ; Wikgren, Jan</creator><creatorcontrib>Seipäjärvi, Santtu M ; Tuomola, Anniina ; Juurakko, Joona ; Rottensteiner, Mirva ; Rissanen, Antti-Pekka E ; Kurkela, Jari L O ; Kujala, Urho M ; Laukkanen, Jari A ; Wikgren, Jan</creatorcontrib><description>Autonomic nervous system function and thereby bodily stress and recovery reactions may be assessed by wearable devices measuring heart rate (HR) and its variability (HRV). So far, the validity of HRV-based stress assessments has been mainly studied in healthy populations. In this study, we determined how psychosocial stress affects physiological and psychological stress responses in both young (18-30 years) and middle-aged (45-64 years) healthy individuals as well as in patients with arterial hypertension and/or either prior evidence of prediabetes or type 2 diabetes. We also studied how an HRV-based stress index (Relax-Stress Intensity, RSI) relates to perceived stress (PS) and cortisol (CRT) responses during psychosocial stress. A total of 197 participants were divided into three groups: (1) healthy young (HY,  = 63), (2) healthy middle-aged (HM,  = 61) and (3) patients with cardiometabolic risk factors (Pts,  = 73, 32-65 years). The participants underwent a group version of Trier Social Stress Test (TSST-G). HR, HRV (quantified as root mean square of successive differences of R-R intervals, RMSSD), RSI, PS, and salivary CRT were measured regularly during TSST-G and a subsequent recovery period. All groups showed significant stress reactions during TSST-G as indicated by significant responses of HR, RMSSD, RSI, PS, and salivary CRT. Between-group differences were also observed in all measures. Correlation and regression analyses implied RSI being the strongest predictor of CRT response, while HR was more closely associated with PS. The HRV-based stress index mirrors responses of CRT, which is an independent marker for physiological stress, around TSST-G. Thus, the HRV-based stress index may be used to quantify physiological responses to psychosocial stress across various health and age groups.</description><identifier>ISSN: 0967-3334</identifier><identifier>EISSN: 1361-6579</identifier><identifier>DOI: 10.1088/1361-6579/ac6b7c</identifier><identifier>PMID: 35483348</identifier><identifier>CODEN: PMEAE3</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>cortisol ; Diabetes Mellitus, Type 2 ; Heart Rate - physiology ; heart rate variability ; Humans ; Hydrocortisone ; Middle Aged ; perceived stress ; stress ; Stress, Physiological ; Stress, Psychological ; wellbeing</subject><ispartof>Physiological measurement, 2022-05, Vol.43 (5), p.55002</ispartof><rights>2022 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd</rights><rights>Creative Commons Attribution license.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c326c-81aa115690ecbd5b4044478c7815b54024c7c551d4e4441c4aa6ae8cdd4682a93</citedby><cites>FETCH-LOGICAL-c326c-81aa115690ecbd5b4044478c7815b54024c7c551d4e4441c4aa6ae8cdd4682a93</cites><orcidid>0000-0002-4437-6347 ; 0000-0003-0891-2453 ; 0000-0003-2508-9462 ; 0000-0002-9262-1992 ; 0000-0003-2415-3979 ; 0000-0002-1171-6739 ; 0000-0002-3403-1396 ; 0000-0003-1988-0952 ; 0000-0002-3738-1586</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1361-6579/ac6b7c/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,53846,53893</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35483348$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seipäjärvi, Santtu M</creatorcontrib><creatorcontrib>Tuomola, Anniina</creatorcontrib><creatorcontrib>Juurakko, Joona</creatorcontrib><creatorcontrib>Rottensteiner, Mirva</creatorcontrib><creatorcontrib>Rissanen, Antti-Pekka E</creatorcontrib><creatorcontrib>Kurkela, Jari L O</creatorcontrib><creatorcontrib>Kujala, Urho M</creatorcontrib><creatorcontrib>Laukkanen, Jari A</creatorcontrib><creatorcontrib>Wikgren, Jan</creatorcontrib><title>Measuring psychosocial stress with heart rate variability-based methods in different health and age groups</title><title>Physiological measurement</title><addtitle>PMEA</addtitle><addtitle>Physiol. Meas</addtitle><description>Autonomic nervous system function and thereby bodily stress and recovery reactions may be assessed by wearable devices measuring heart rate (HR) and its variability (HRV). So far, the validity of HRV-based stress assessments has been mainly studied in healthy populations. In this study, we determined how psychosocial stress affects physiological and psychological stress responses in both young (18-30 years) and middle-aged (45-64 years) healthy individuals as well as in patients with arterial hypertension and/or either prior evidence of prediabetes or type 2 diabetes. We also studied how an HRV-based stress index (Relax-Stress Intensity, RSI) relates to perceived stress (PS) and cortisol (CRT) responses during psychosocial stress. A total of 197 participants were divided into three groups: (1) healthy young (HY,  = 63), (2) healthy middle-aged (HM,  = 61) and (3) patients with cardiometabolic risk factors (Pts,  = 73, 32-65 years). The participants underwent a group version of Trier Social Stress Test (TSST-G). HR, HRV (quantified as root mean square of successive differences of R-R intervals, RMSSD), RSI, PS, and salivary CRT were measured regularly during TSST-G and a subsequent recovery period. All groups showed significant stress reactions during TSST-G as indicated by significant responses of HR, RMSSD, RSI, PS, and salivary CRT. Between-group differences were also observed in all measures. Correlation and regression analyses implied RSI being the strongest predictor of CRT response, while HR was more closely associated with PS. The HRV-based stress index mirrors responses of CRT, which is an independent marker for physiological stress, around TSST-G. Thus, the HRV-based stress index may be used to quantify physiological responses to psychosocial stress across various health and age groups.</description><subject>cortisol</subject><subject>Diabetes Mellitus, Type 2</subject><subject>Heart Rate - physiology</subject><subject>heart rate variability</subject><subject>Humans</subject><subject>Hydrocortisone</subject><subject>Middle Aged</subject><subject>perceived stress</subject><subject>stress</subject><subject>Stress, Physiological</subject><subject>Stress, Psychological</subject><subject>wellbeing</subject><issn>0967-3334</issn><issn>1361-6579</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>EIF</sourceid><recordid>eNp1kM1v1DAQxS1ERZfCnRPykQOhdvwR7xFVfEmteilna2JPdr1K4uBJQPvfk9WWcoHTSG_ee6P5MfZGig9SOHctlZWVNc32GoJtm_CMbZ6k52wjtraplFL6kr0kOgghpavNC3apjHar7DbscIdAS0njjk90DPtMOSToOc0FifivNO_5HqHMvMCM_CeUBG3q03ysWiCMfMB5nyPxNPKYug4LjvMp0a9BGCOHHfJdyctEr9hFBz3h68d5xb5__vRw87W6vf_y7ebjbRVUbUPlJICUxm4FhjaaVgutdeNC46RpjRa1Dk0wRkaN60IGDWABXYhRW1fDVl2xd-feqeQfC9Lsh0QB-x5GzAv52hpXKyFsvVrF2RpKJirY-amkAcrRS-FPhP0Jpz_h9GfCa-TtY_vSDhifAn-Q_j2f8uQPeSnj-qyfBgSvlTdeGCNE7afYrdb3_7D-9_RvFe-UCg</recordid><startdate>20220525</startdate><enddate>20220525</enddate><creator>Seipäjärvi, Santtu M</creator><creator>Tuomola, Anniina</creator><creator>Juurakko, Joona</creator><creator>Rottensteiner, Mirva</creator><creator>Rissanen, Antti-Pekka E</creator><creator>Kurkela, Jari L O</creator><creator>Kujala, Urho M</creator><creator>Laukkanen, Jari A</creator><creator>Wikgren, Jan</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4437-6347</orcidid><orcidid>https://orcid.org/0000-0003-0891-2453</orcidid><orcidid>https://orcid.org/0000-0003-2508-9462</orcidid><orcidid>https://orcid.org/0000-0002-9262-1992</orcidid><orcidid>https://orcid.org/0000-0003-2415-3979</orcidid><orcidid>https://orcid.org/0000-0002-1171-6739</orcidid><orcidid>https://orcid.org/0000-0002-3403-1396</orcidid><orcidid>https://orcid.org/0000-0003-1988-0952</orcidid><orcidid>https://orcid.org/0000-0002-3738-1586</orcidid></search><sort><creationdate>20220525</creationdate><title>Measuring psychosocial stress with heart rate variability-based methods in different health and age groups</title><author>Seipäjärvi, Santtu M ; Tuomola, Anniina ; Juurakko, Joona ; Rottensteiner, Mirva ; Rissanen, Antti-Pekka E ; Kurkela, Jari L O ; Kujala, Urho M ; Laukkanen, Jari A ; Wikgren, Jan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326c-81aa115690ecbd5b4044478c7815b54024c7c551d4e4441c4aa6ae8cdd4682a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>cortisol</topic><topic>Diabetes Mellitus, Type 2</topic><topic>Heart Rate - physiology</topic><topic>heart rate variability</topic><topic>Humans</topic><topic>Hydrocortisone</topic><topic>Middle Aged</topic><topic>perceived stress</topic><topic>stress</topic><topic>Stress, Physiological</topic><topic>Stress, Psychological</topic><topic>wellbeing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seipäjärvi, Santtu M</creatorcontrib><creatorcontrib>Tuomola, Anniina</creatorcontrib><creatorcontrib>Juurakko, Joona</creatorcontrib><creatorcontrib>Rottensteiner, Mirva</creatorcontrib><creatorcontrib>Rissanen, Antti-Pekka E</creatorcontrib><creatorcontrib>Kurkela, Jari L O</creatorcontrib><creatorcontrib>Kujala, Urho M</creatorcontrib><creatorcontrib>Laukkanen, Jari A</creatorcontrib><creatorcontrib>Wikgren, Jan</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Physiological measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seipäjärvi, Santtu M</au><au>Tuomola, Anniina</au><au>Juurakko, Joona</au><au>Rottensteiner, Mirva</au><au>Rissanen, Antti-Pekka E</au><au>Kurkela, Jari L O</au><au>Kujala, Urho M</au><au>Laukkanen, Jari A</au><au>Wikgren, Jan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring psychosocial stress with heart rate variability-based methods in different health and age groups</atitle><jtitle>Physiological measurement</jtitle><stitle>PMEA</stitle><addtitle>Physiol. Meas</addtitle><date>2022-05-25</date><risdate>2022</risdate><volume>43</volume><issue>5</issue><spage>55002</spage><pages>55002-</pages><issn>0967-3334</issn><eissn>1361-6579</eissn><coden>PMEAE3</coden><abstract>Autonomic nervous system function and thereby bodily stress and recovery reactions may be assessed by wearable devices measuring heart rate (HR) and its variability (HRV). So far, the validity of HRV-based stress assessments has been mainly studied in healthy populations. In this study, we determined how psychosocial stress affects physiological and psychological stress responses in both young (18-30 years) and middle-aged (45-64 years) healthy individuals as well as in patients with arterial hypertension and/or either prior evidence of prediabetes or type 2 diabetes. We also studied how an HRV-based stress index (Relax-Stress Intensity, RSI) relates to perceived stress (PS) and cortisol (CRT) responses during psychosocial stress. A total of 197 participants were divided into three groups: (1) healthy young (HY,  = 63), (2) healthy middle-aged (HM,  = 61) and (3) patients with cardiometabolic risk factors (Pts,  = 73, 32-65 years). The participants underwent a group version of Trier Social Stress Test (TSST-G). HR, HRV (quantified as root mean square of successive differences of R-R intervals, RMSSD), RSI, PS, and salivary CRT were measured regularly during TSST-G and a subsequent recovery period. All groups showed significant stress reactions during TSST-G as indicated by significant responses of HR, RMSSD, RSI, PS, and salivary CRT. Between-group differences were also observed in all measures. Correlation and regression analyses implied RSI being the strongest predictor of CRT response, while HR was more closely associated with PS. The HRV-based stress index mirrors responses of CRT, which is an independent marker for physiological stress, around TSST-G. Thus, the HRV-based stress index may be used to quantify physiological responses to psychosocial stress across various health and age groups.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>35483348</pmid><doi>10.1088/1361-6579/ac6b7c</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-4437-6347</orcidid><orcidid>https://orcid.org/0000-0003-0891-2453</orcidid><orcidid>https://orcid.org/0000-0003-2508-9462</orcidid><orcidid>https://orcid.org/0000-0002-9262-1992</orcidid><orcidid>https://orcid.org/0000-0003-2415-3979</orcidid><orcidid>https://orcid.org/0000-0002-1171-6739</orcidid><orcidid>https://orcid.org/0000-0002-3403-1396</orcidid><orcidid>https://orcid.org/0000-0003-1988-0952</orcidid><orcidid>https://orcid.org/0000-0002-3738-1586</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0967-3334
ispartof Physiological measurement, 2022-05, Vol.43 (5), p.55002
issn 0967-3334
1361-6579
language eng
recordid cdi_crossref_primary_10_1088_1361_6579_ac6b7c
source MEDLINE; IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link
subjects cortisol
Diabetes Mellitus, Type 2
Heart Rate - physiology
heart rate variability
Humans
Hydrocortisone
Middle Aged
perceived stress
stress
Stress, Physiological
Stress, Psychological
wellbeing
title Measuring psychosocial stress with heart rate variability-based methods in different health and age groups
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T16%3A50%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Measuring%20psychosocial%20stress%20with%20heart%20rate%20variability-based%20methods%20in%20different%20health%20and%20age%20groups&rft.jtitle=Physiological%20measurement&rft.au=Seip%C3%A4j%C3%A4rvi,%20Santtu%20M&rft.date=2022-05-25&rft.volume=43&rft.issue=5&rft.spage=55002&rft.pages=55002-&rft.issn=0967-3334&rft.eissn=1361-6579&rft.coden=PMEAE3&rft_id=info:doi/10.1088/1361-6579/ac6b7c&rft_dat=%3Cproquest_cross%3E2658230062%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2658230062&rft_id=info:pmid/35483348&rfr_iscdi=true