Evidence map›Paper›PMID 36702497›Full record

ArticlePhysiological reports2023

Temporal relationships among changes in the RR-interval and the powers of the low- and high-frequency components of heart rate variability in normal subjects.

Yuji Yokobori, Hayato Nakane, Chirika Uehara, Toru Nagasawa, Satoshi Mitsuyama, Kiyomi Ohkawa, Kazuomi Kario, Seiji Ozawa

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Yuji YokoboriDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Hayato NakaneDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Chirika UeharaDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Toru NagasawaDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Satoshi MitsuyamaDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Kiyomi OhkawaDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Kazuomi KarioDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Tochigi, Japan.
Seiji OzawaDepartment of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.ORCID 0000-0003-4893-3443
Takasaki University of Health and Welfare · JPJichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectral analysis of heart rate variability (HRV) is widely used as a non-invasive method to assess the cardiovascular autonomic function. Of the two main frequency components of HRV, namely low-frequency (LF, 0.04-0.15 Hz) and high-frequency (HF, 0.15-0.4 Hz) components, it is generally accepted that the HF power reflects modulation of heart rate which is mediated by cardiac parasympathetic (vagal) nerve activity. In contrast, the origin and functional correlates of the LF component are still controversial. Although several lines of evidence have indicated a close correlation between LF power and the baroreflex modulation of autonomic outflows, the detailed mechanisms underlying the genesis of the LF component remain unclarified. In this study, we conducted an ultra-short-term (UST) spectral analysis of R-R interval (RRI) time series using Fast Fourier Transform (FFT) with 5- and 25-s windows to clarify the temporal relationships among transient changes in the RRI and, LF and HF powers in healthy subjects. We found that during active standing, transient RRI increases occurred sporadically. The UST spectral analysis revealed that this RRI increase was associated with a simultaneous increase in HF power which was closely linked to the prominent LF power increase. These results indicate that during active standing, increases in LF and HF powers occur simultaneously, and they may reflect enhanced cardiac vagal activity which generates transient bradycardia.

Indexed as

Autonomic Nervous System DiseasesCardiovascular SystemAutonomic Nervous SystemElectrocardiographyHeartHeart RateHumansheart rate variabilityhigh-frequency componentlow-frequency componentultra-short-term spectral analysisvagal nerve activity

Identifiers

PMID36702497
PMCPMC9879716
OpenAlexW4318173856

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.