Evidence map›Paper›PMID 38523154›Full record

ArticleScientific reports2024

Positive affect and heart rate variability: a dynamic analysis.

Tony Beatton, Ho Fai Chan, Uwe Dulleck, Andrea Ristl, Markus Schaffner, Benno Torgler

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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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

6 authors.

Tony BeattonSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Ho Fai ChanSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Uwe DulleckSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Andrea RistlHeart2Business GmbH, 1070, Vienna, Austria.
Markus SchaffnerCentre for Behavioural Economics, Society and Technology (BEST), 2 George St, Brisbane, QLD, 4000, Australia.
Benno TorglerSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia. benno.torgler@qut.edu.au.

Funding

Australian Research Council LP0884074
6 · The paper itself

Abstract

Traditional survey methods can provide noisy data arising from recall, memory and other biases. Technological advances (particularly in neuroscience) are opening new ways of monitoring physiological processes through non-intrusive means. Such dense continuous data provide new and fruitful avenues for complementing self-reported data with a better understanding of human dynamics and human interactions. In this study, we use a survey to collect positive affect (feelings) data from more than 300 individuals over a period of 24 h, and at the same time, map their core activities (5000 recorded activities in total) with measurements of their heart rate variability (HRV). Our results indicate a robust correlation between the HRV measurements and self-reported affect. By drawing on the neuroscience and wellbeing literature we show that dynamic HRV results are what we expect for positive affect, particularly when performing activities like sleep, travel, work, exercise and eating. This research provides new insights into how to collect HRV data, model and interpret it.

Indexed as

ExerciseSleepHeart RateHumansTimeAnalytical modelsData collectionHeart rate variabilityInterpretationPositive affect

Identifiers

PMID38523154
PMCPMC10961327

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.