Evidence map›Paper›PMID 29543648›Full record

ReviewBehavioural pharmacology2018

Heart-rate variability: a biomarker to study the influence of nutrition on physiological and psychological health?

Hayley A Young, David Benton

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Behavioural pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05090995 (A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep), which is not on this map. Cited by 118 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 8 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.

NCT05090995 nacompletednot on this mapstarted 2022, after this paper: background citation

A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep

TypeinterventionalSponsorYale UniversityRan2022 to 2023Enrolled60ConditionsHeavy Drinking, Harmful, Use, AlcoholArmsBehavioral Self-Management and Feedback, Behavioral Self-Management
3 · Its place in the literature

Who cites it

118 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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58 more citing papers are in PubMed but not listed here.

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

2 authors.

Hayley A YoungDepartment of Psychology, University of Wales Swansea, Swansea, Wales, UK.
David Benton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the influence of diet on health may take place over a period of decades, there is a need for biomarkers that help to identify those aspects of nutrition that have either a positive or a negative influence. The evidence is considered that heart-rate variability (HRV) (the time differences between one beat and the next) can be used to indicate the potential health benefits of food items. Reduced HRV is associated with the development of numerous conditions for example, diabetes, cardiovascular disease, inflammation, obesity and psychiatric disorders. Although more systematic research is required, various aspects of diet have been shown to benefit HRV acutely and in the longer term. Examples include a Mediterranean diet, omega-3 fatty acids, B-vitamins, probiotics, polyphenols and weight loss. Aspects of diet that are viewed as undesirable, for example high intakes of saturated or trans-fat and high glycaemic carbohydrates, have been found to reduce HRV. It is argued that the consistent relationship between HRV, health and morbidity supports the view that HRV has the potential to become a widely used biomarker when considering the influence of diet on mental and physical health.

Indexed as

BiomarkersCardiovascular DiseasesDietDiet TherapyHeart RateHumansNutritional StatusObesityBiomarkers

Identifiers

PMID29543648
PMCPMC5882295

What Socratic holds

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Read underepoch 390

Registered trials

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 Socratic graph.