Evidence map›Paper›PMID 38114894›Full record

ArticleBMC geriatrics2023

Effects of posture on heart rate variability in non-frail and prefrail individuals: a cross-sectional study.

Huiling Chen, Mimi Mun Yee Tse, Joanne Wai Yee Chung, Sui Yu Yau, Thomas Kwok Shing Wong

Erratum issuedAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Trial
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Huiling ChenSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Sheung Shing Street, Ho Man Tin, Hong Kong, China. huilingc@qq.com.
Mimi Mun Yee TseSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Sheung Shing Street, Ho Man Tin, Hong Kong, China.
Joanne Wai Yee ChungKiang Wu Nursing College of Macau, Macau, China.
Sui Yu YauSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Sheung Shing Street, Ho Man Tin, Hong Kong, China.
Thomas Kwok Shing WongHong Kong Nang Yan College of Higher Education, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is an aging-related syndrome leading to high mortality in older adults. Without effective assessment and prevention of frailty, the incidence of frailty and relevant adverse outcomes will increase by 2050 as worldwide populations age. Although evidence suggested heart rate variability (HRV) is a potential measure of frailty, the role of HRV in frailty assessment remains unclear because of controversial findings. This study examined the effects of posture on HRV parameters in non-frail and prefrail individuals to understand the role of HRV in assessing frailty.

methodsForty-six participants aged ≥ 50 years were recruited between April and August 2022. Frailty was defined using Fried's criteria. HRV was measured in standing, sitting, and lying postures, respectively, using a Polar Watch, and analyzed using Kubios HRV Standard 3.5.0 (Kubios). The five most commonly used parameters were examined, including standard deviations of all normal-to-normal intervals (SDNN), root mean square of the successive differences (RMSSD), low frequency (LF), high frequency (HF), and LF/HF. Independent t-tests and Mann-Whitney tests were used for inter-group comparisons. Friedman tests were used for intra-group comparisons across postures.

resultsThe non-frail group showed significant differences in HRV parameters across postures (all p < 0.05), whereas the prefrail group did not demonstrate any difference (all p > 0.05). The differences in the non-frail group included higher RMSSD and HF in the lying posture compared to those in the standing posture (29.54 vs 21.99 p = 0.003, 210.34 vs 96.34 p = 0.001, respectively), and higher LF and LF/HF in the sitting posture compared to those in the lying posture (248.40 vs 136.29 P = 0.024, 1.26 vs 0.77 p = 0.011, respectively).

conclusionsThe effects of posture on HRV were blunted in the prefrail group, which suggests an impaired cardiac autonomic functioning. Measuring the effects of posture on HRV parameters may contribute to frailty assessment. However, further evidence from larger cohorts and including additional HRV parameters is needed.

Indexed as

FrailtyAgedAgingCross-Sectional StudiesHeart RateHumansPostureDifferenceFrailty assessmentHRVPosture

Identifiers

PMID38114894
PMCPMC10729458

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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.