Evidence map›Paper›PMID 38378714›Full record

ArticleScientific reports2024

Pulse rate variability and health-related quality of life assessment with the Short Form-8 Japanese version in the general Japanese population.

Isao Saito, Koutatsu Maruyama, Kanako Yamauchi, Yayoi Funakoshi, Tadahiro Kato, Ryoichi Kawamura, Yasunori Takata, Haruhiko Osawa

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Isao SaitoDepartment of Public Health and Epidemiology, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan. saitoi@oita-u.ac.jp.
Koutatsu MaruyamaDepartment of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Ehime, Japan.
Kanako YamauchiFaculty of Education, Fukuyama City University, Fukuyama, Hiroshima, Japan.
Yayoi FunakoshiDepartment of Public Health and Epidemiology, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan.
Tadahiro KatoDivision of Life Span Development and Clinical Psychology, Graduate School of Education, Ehime University, Matsuyama, Ehime, Japan.
Ryoichi KawamuraDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Yasunori TakataDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Haruhiko OsawaDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.

Funding

AMED JP23rea522104Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science, and Technology of Japan 21H03202
6 · The paper itself

Abstract

We aimed to investigate the association between pulse rate variability (PRV) and health-related quality of life (HRQOL) in the general population. A cross-sectional study was conducted with 5908 Japanese men and women aged 30-79 years. PRV was assessed at rest using 5-min recordings of pulse waves with a photoplethysmographic signal from a fingertip sensor, and the time and frequency domains of PRV were determined. HRQOL was assessed with the Short Form-8 (SF-8) Japanese version, and poor HRQOL was defined as an SF-8 sub-scale score < 50. A test for nonlinear trends was performed with the generalized additive model with a smoothing spline adjusted for confounders. The lowest multivariable-adjusted odds ratios for poor physical component score were found in those who had second or third quartile levels of standard deviation of normal-to-normal intervals (SDNN) and root mean square of successive difference (RMSSD), and high-frequency (HF) power and trended slightly upward in the higher levels. PRV-derived parameters were nonlinearly associated with poor physical component scores. In conclusion, reduced PRV-derived SDNN, RMSSD and HF power were associated with poor HRQOL in the domain of physical function. Higher levels of these parameters did not necessarily translate into better HRQOL.

Indexed as

BradycardiaQuality of LifeCross-Sectional StudiesFemaleHeart RateHumansJapanMale

Identifiers

PMID38378714
PMCPMC10879517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.