Inter- and intra-researcher reproducibility of heart rate variability parameters in three human cohorts
Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-re...
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| creator | Plaza-Florido, A. Alcantara, J. M. A. Migueles, J. H. Amaro-Gahete, F. J. Acosta, F. M. Mora-Gonzalez, J. Sacha, J. Ortega, F. B. |
| description | Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-researcher differences whose magnitude has not been previously quantified in three independent human cohorts. This study examines the inter- and intra-researcher reproducibility of HRV parameters (i.e., the influence of R–R interval selection by different researchers and by the same researcher in different moments on the quantification of HRV parameters, respectively) derived from short-term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults. Participants were recruited from 3 different studies: 107 children (10.03 ± 1.13 years, 58% male), 132 young adults (22.22 ± 2.20 years, 33% males) and 73 middle-aged adults (53.62 ± 5.18 years, 48% males). HRV was measured using a Polar RS800CX heart rate monitor. The intraclass correlation coefficient (ICC) ranged from 0.703 to 0.989 and from 0.950 to 0.998 for inter-and intra-researcher reproducibility, respectively. Limits of agreement for HRV parameters were higher for the inter-researcher processing compared with the intra-researcher processing. On average, the intra-researcher differences were 31%, 62%, and 80% smaller than the inter-researchers differences based on Coefficient of Variation in children, young and middle-aged adults, respectively. Our study provides the quantification of the inter-researcher and intra-researcher differences in three independent human cohorts, which could elicit some clinical relevant differences for HRV parameters. Based on our findings, we recommend the HRV data signal processing to be performed always by the same trained researcher and we postulate a development of algorithms for an automatic ECG selection. |
| doi_str_mv | 10.1038/s41598-020-68197-7 |
| format | Article |
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M. A. ; Migueles, J. H. ; Amaro-Gahete, F. J. ; Acosta, F. M. ; Mora-Gonzalez, J. ; Sacha, J. ; Ortega, F. B.</creator><creatorcontrib>Plaza-Florido, A. ; Alcantara, J. M. A. ; Migueles, J. H. ; Amaro-Gahete, F. J. ; Acosta, F. M. ; Mora-Gonzalez, J. ; Sacha, J. ; Ortega, F. B.</creatorcontrib><description>Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-researcher differences whose magnitude has not been previously quantified in three independent human cohorts. This study examines the inter- and intra-researcher reproducibility of HRV parameters (i.e., the influence of R–R interval selection by different researchers and by the same researcher in different moments on the quantification of HRV parameters, respectively) derived from short-term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults. Participants were recruited from 3 different studies: 107 children (10.03 ± 1.13 years, 58% male), 132 young adults (22.22 ± 2.20 years, 33% males) and 73 middle-aged adults (53.62 ± 5.18 years, 48% males). HRV was measured using a Polar RS800CX heart rate monitor. The intraclass correlation coefficient (ICC) ranged from 0.703 to 0.989 and from 0.950 to 0.998 for inter-and intra-researcher reproducibility, respectively. Limits of agreement for HRV parameters were higher for the inter-researcher processing compared with the intra-researcher processing. On average, the intra-researcher differences were 31%, 62%, and 80% smaller than the inter-researchers differences based on Coefficient of Variation in children, young and middle-aged adults, respectively. Our study provides the quantification of the inter-researcher and intra-researcher differences in three independent human cohorts, which could elicit some clinical relevant differences for HRV parameters. Based on our findings, we recommend the HRV data signal processing to be performed always by the same trained researcher and we postulate a development of algorithms for an automatic ECG selection.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-68197-7</identifier><identifier>PMID: 32647148</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4019 ; 692/499 ; Adult ; Age Factors ; Aging - physiology ; Algorithms ; Anthropometry ; Autonomic nervous system ; Body weight ; Child ; Children ; Coefficient of variation ; Cohort Studies ; Correlation coefficient ; Data processing ; Decision making ; EKG ; Electrocardiography ; Female ; Heart Conduction System - physiopathology ; Heart Rate ; Humanities and Social Sciences ; Humans ; Male ; Males ; Middle age ; Middle Aged ; multidisciplinary ; Obesity - physiopathology ; Observer Variation ; Overweight ; Overweight - physiopathology ; Reproducibility ; Reproducibility of Results ; Researchers ; Science ; Science (multidisciplinary) ; Sedentary Behavior ; Signal processing ; Single-Blind Method ; Software ; Young Adult ; Young adults</subject><ispartof>Scientific reports, 2020-07, Vol.10 (1), p.11399-11399, Article 11399</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c522t-eb03ac628d02131368c52877d80f4ffe67f1b01f2119b1856c0da0f942efa2c23</citedby><cites>FETCH-LOGICAL-c522t-eb03ac628d02131368c52877d80f4ffe67f1b01f2119b1856c0da0f942efa2c23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347623/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347623/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,27911,27912,41107,42176,51563,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32647148$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Plaza-Florido, A.</creatorcontrib><creatorcontrib>Alcantara, J. M. A.</creatorcontrib><creatorcontrib>Migueles, J. H.</creatorcontrib><creatorcontrib>Amaro-Gahete, F. J.</creatorcontrib><creatorcontrib>Acosta, F. M.</creatorcontrib><creatorcontrib>Mora-Gonzalez, J.</creatorcontrib><creatorcontrib>Sacha, J.</creatorcontrib><creatorcontrib>Ortega, F. B.</creatorcontrib><title>Inter- and intra-researcher reproducibility of heart rate variability parameters in three human cohorts</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-researcher differences whose magnitude has not been previously quantified in three independent human cohorts. This study examines the inter- and intra-researcher reproducibility of HRV parameters (i.e., the influence of R–R interval selection by different researchers and by the same researcher in different moments on the quantification of HRV parameters, respectively) derived from short-term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults. Participants were recruited from 3 different studies: 107 children (10.03 ± 1.13 years, 58% male), 132 young adults (22.22 ± 2.20 years, 33% males) and 73 middle-aged adults (53.62 ± 5.18 years, 48% males). HRV was measured using a Polar RS800CX heart rate monitor. The intraclass correlation coefficient (ICC) ranged from 0.703 to 0.989 and from 0.950 to 0.998 for inter-and intra-researcher reproducibility, respectively. Limits of agreement for HRV parameters were higher for the inter-researcher processing compared with the intra-researcher processing. On average, the intra-researcher differences were 31%, 62%, and 80% smaller than the inter-researchers differences based on Coefficient of Variation in children, young and middle-aged adults, respectively. Our study provides the quantification of the inter-researcher and intra-researcher differences in three independent human cohorts, which could elicit some clinical relevant differences for HRV parameters. 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M. A.</au><au>Migueles, J. H.</au><au>Amaro-Gahete, F. J.</au><au>Acosta, F. M.</au><au>Mora-Gonzalez, J.</au><au>Sacha, J.</au><au>Ortega, F. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inter- and intra-researcher reproducibility of heart rate variability parameters in three human cohorts</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-07-09</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>11399</spage><epage>11399</epage><pages>11399-11399</pages><artnum>11399</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-researcher differences whose magnitude has not been previously quantified in three independent human cohorts. This study examines the inter- and intra-researcher reproducibility of HRV parameters (i.e., the influence of R–R interval selection by different researchers and by the same researcher in different moments on the quantification of HRV parameters, respectively) derived from short-term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults. Participants were recruited from 3 different studies: 107 children (10.03 ± 1.13 years, 58% male), 132 young adults (22.22 ± 2.20 years, 33% males) and 73 middle-aged adults (53.62 ± 5.18 years, 48% males). HRV was measured using a Polar RS800CX heart rate monitor. The intraclass correlation coefficient (ICC) ranged from 0.703 to 0.989 and from 0.950 to 0.998 for inter-and intra-researcher reproducibility, respectively. Limits of agreement for HRV parameters were higher for the inter-researcher processing compared with the intra-researcher processing. On average, the intra-researcher differences were 31%, 62%, and 80% smaller than the inter-researchers differences based on Coefficient of Variation in children, young and middle-aged adults, respectively. Our study provides the quantification of the inter-researcher and intra-researcher differences in three independent human cohorts, which could elicit some clinical relevant differences for HRV parameters. Based on our findings, we recommend the HRV data signal processing to be performed always by the same trained researcher and we postulate a development of algorithms for an automatic ECG selection.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32647148</pmid><doi>10.1038/s41598-020-68197-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | 692/4019 692/499 Adult Age Factors Aging - physiology Algorithms Anthropometry Autonomic nervous system Body weight Child Children Coefficient of variation Cohort Studies Correlation coefficient Data processing Decision making EKG Electrocardiography Female Heart Conduction System - physiopathology Heart Rate Humanities and Social Sciences Humans Male Males Middle age Middle Aged multidisciplinary Obesity - physiopathology Observer Variation Overweight Overweight - physiopathology Reproducibility Reproducibility of Results Researchers Science Science (multidisciplinary) Sedentary Behavior Signal processing Single-Blind Method Software Young Adult Young adults |
| title | Inter- and intra-researcher reproducibility of heart rate variability parameters in three human cohorts |
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