» Articles » PMID: 35191214

The Relationship Between Neurocognitive Performance and HRV Parameters in Nurses and Non-healthcare Participants

Overview
Journal Brain Behav
Specialty Psychology
Date 2022 Feb 22
PMID 35191214
Authors
Affiliations
Soon will be listed here.
Abstract

Nurses represent the largest sector of the healthcare workforce, and it is established that they are faced with ongoing physical and mental demands that leave many continuously stressed. In turn, this chronic stress may affect cardiac autonomic activity, which can be non-invasively evaluated using heart rate variability (HRV). The association between neurocognitive parameters during acute stress situations and HRV has not been previously explored in nurses compared to non-nurses and such, our study aimed to assess these differences. Neurocognitive data were obtained using the Mini-Mental State Examination and Cognistat psychometric questionnaires. ECG-derived HRV parameters were acquired during the Trier Social Stress Test. Between-group differences were found in domain-specific cognitive performance for the similarities (p = .03), and judgment (p = .002) domains and in the following HRV parameters: SDNN (p = .004), LF (p = .002), SDNN (p = .002), HF (p = .02), and TP (p = .003). Negative correlations were found between HF power and domain-specific cognitive performance in nurses. In contrast, both negative and positive correlations were found between HRV and domain-specific cognitive performance in the non-nurse group. The current findings highlight the prospective use of autonomic HRV markers in relation to cognitive performance while building a relationship between autonomic dysfunction and cognition.

Citing Articles

Efficacy of a 4-week yoga module on the sympatho-vagal balance among healthcare workers in a tertiary care hospital: a randomised controlled trial.

Verma A, Saxena V, Goyal B, Saoji A, Saxena Y BMJ Open Sport Exerc Med. 2025; 11(1):e002448.

PMID: 39974336 PMC: 11836856. DOI: 10.1136/bmjsem-2024-002448.


Influence of shift work on sleep quality and circadian patterns of heart rate variability among nurses.

Panwar A, Bagla R, Mohan M, Rathore B J Family Med Prim Care. 2024; 13(8):3345-3349.

PMID: 39228548 PMC: 11368331. DOI: 10.4103/jfmpc.jfmpc_158_24.


Using Heart Rate Variability to Assess Nurses' Stress During the COVID-19 Pandemic.

Krieger H, Rhein C, Morawa E, Adler W, Steffan J, Lang-Richter N West J Nurs Res. 2024; 46(7):492-500.

PMID: 38725331 PMC: 11181728. DOI: 10.1177/01939459241252078.


The relationship between neurocognitive performance and HRV parameters in nurses and non-healthcare participants.

Chalmers T, Eaves S, Lees T, Lin C, Newton P, Clifton-Bligh R Brain Behav. 2022; 12(3):e2481.

PMID: 35191214 PMC: 8933753. DOI: 10.1002/brb3.2481.

References
1.
Devore E, Prescott J, De Vivo I, Grodstein F . Relative telomere length and cognitive decline in the Nurses' Health Study. Neurosci Lett. 2011; 492(1):15-8. PMC: 3306217. DOI: 10.1016/j.neulet.2011.01.041. View

2.
Maier S, Hare T . Higher Heart-Rate Variability Is Associated with Ventromedial Prefrontal Cortex Activity and Increased Resistance to Temptation in Dietary Self-Control Challenges. J Neurosci. 2017; 37(2):446-455. PMC: 6596577. DOI: 10.1523/JNEUROSCI.2815-16.2016. View

3.
Hovland A, Pallesen S, Hammar A, Hansen A, Thayer J, Tarvainen M . The relationships among heart rate variability, executive functions, and clinical variables in patients with panic disorder. Int J Psychophysiol. 2012; 86(3):269-75. DOI: 10.1016/j.ijpsycho.2012.10.004. View

4.
Folstein M, ROBINS L, Helzer J . The Mini-Mental State Examination. Arch Gen Psychiatry. 1983; 40(7):812. DOI: 10.1001/archpsyc.1983.01790060110016. View

5.
Nolan J, Batin P, Andrews R, Lindsay S, Brooksby P, Mullen M . Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom heart failure evaluation and assessment of risk trial (UK-heart). Circulation. 1998; 98(15):1510-6. DOI: 10.1161/01.cir.98.15.1510. View