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dc.contributor.authorSeipäjärvi, Santtu M.
dc.contributor.authorTuomola, Anniina
dc.contributor.authorJuurakko, Joona
dc.contributor.authorRottensteiner, Mirva
dc.contributor.authorRissanen, Antti-Pekka E.
dc.contributor.authorKurkela, Jari L. O.
dc.contributor.authorKujala, Urho M.
dc.contributor.authorLaukkanen, Jari A.
dc.contributor.authorWikgren, Jan
dc.date.accessioned2022-06-22T11:30:35Z
dc.date.available2022-06-22T11:30:35Z
dc.date.issued2022
dc.identifier.citationSeipäjärvi, S. M., Tuomola, A., Juurakko, J., Rottensteiner, M., Rissanen, A.-P. E., Kurkela, J. L. O., Kujala, U. M., Laukkanen, J. A., & Wikgren, J. (2022). Measuring psychosocial stress with heart rate variability-based methods in different health and age groups. <i>Physiological Measurement</i>, <i>43</i>(5), Article 055002. <a href="https://doi.org/10.1088/1361-6579/ac6b7c" target="_blank">https://doi.org/10.1088/1361-6579/ac6b7c</a>
dc.identifier.otherCONVID_147092430
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/81977
dc.description.abstractObjective. 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. Approach. A total of 197 participants were divided into three groups: (1) healthy young (HY, N = 63), (2) healthy middle-aged (HM, N = 61) and (3) patients with cardiometabolic risk factors (Pts, N = 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. Main results. 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. Significance. 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherIOP Publishing
dc.relation.ispartofseriesPhysiological Measurement
dc.rightsCC BY 4.0
dc.titleMeasuring psychosocial stress with heart rate variability-based methods in different health and age groups
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202206223582
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineLiikuntalääketiedefi
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSports and Exercise Medicineen
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0967-3334
dc.relation.numberinseries5
dc.relation.volume43
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2022
dc.rights.accesslevelopenAccessfi
dc.subject.ysosykemittarit
dc.subject.ysosyke
dc.subject.ysopsykososiaaliset tekijät
dc.subject.ysosydän- ja verisuonitaudit
dc.subject.ysomittausmenetelmät
dc.subject.ysostressi
dc.subject.ysofysiologiset vaikutukset
dc.subject.ysopsykofysiologia
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p12342
jyx.subject.urihttp://www.yso.fi/onto/yso/p3751
jyx.subject.urihttp://www.yso.fi/onto/yso/p4391
jyx.subject.urihttp://www.yso.fi/onto/yso/p9886
jyx.subject.urihttp://www.yso.fi/onto/yso/p20083
jyx.subject.urihttp://www.yso.fi/onto/yso/p133
jyx.subject.urihttp://www.yso.fi/onto/yso/p11511
jyx.subject.urihttp://www.yso.fi/onto/yso/p7543
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1088/1361-6579/ac6b7c
jyx.fundinginformationThe HealthBeat project was implemented in cooperation between the University of Jyväskylä (Department of Psychology and Faculty of Sport and Health Sciences), Central Finland Health Care District, and Firstbeat Technologies Ltd. The study was funded by Business Finland (Grant 2697/31/2018) and Firstbeat Technologies Ltd (Jyväskylä, Finland).
dc.type.okmA1


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