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Continuous heart rate variability monitoring, stress and recovery in doctors: a systematic review and meta-analysis

Continuous heart rate variability monitoring, stress and recovery in doctors: a systematic review and meta-analysis
Continuous heart rate variability monitoring, stress and recovery in doctors: a systematic review and meta-analysis
Background: burnout is a rising concern among doctors. Heart rate variability (HRV), a non-invasive measure of autonomic nervous system activity, can reflect physiological states of sympathetic (stress) and parasympathetic (recovery) nervous system activity.

Aims: this review aims to evaluate how continuous ambulatory HRV monitoring has been used to understand patterns of stress and recovery in doctors.

Methods: the study protocol was preregistered (PROSPERO CRD42023413282). A comprehensive search was conducted. Studies were eligible if they reported at least one HRV parameter combined with at least one contextual or psychological assessment over a 24-hour period in a doctor population. Methodological quality was assessed using the Joanna Briggs Institute risk of bias assessment for case reports and the Standard for Reporting Diagnostic Accuracy in HRV studies STARDHRV.

Results: we identified 805 records of which seven studies met the inclusion criteria. Meta-analysis was carried out for five different HRV parameters. Studies were conducted in seven different countries, ranged in participant numbers from 12 to 54 and each used a different HRV measurement device. There was a statistically significant difference in HRV between stress and recovery periods with four of these five parameters; root mean square of successive differences SMD = −0.63, P = 0.005, standard deviation of the NN (inter-beat) intervals SMD = −1.05, P = 0.001, low frequency (LF) Standard Mean Difference (SMD) = 0.54, P = 0.01, LF/high frequency (HF) SMD = 0.69, P = 0.006. The quality of studies was moderate at best.

Conclusions: continuous HRV monitoring may offer a viable method for tracking stress and recovery patterns that may contribute to burnout.
0962-7480
630-639
Kane, L.
7a0f8a7f-c6ab-402b-bfc6-8edea0e26815
Powell, D.
e1e53a46-a37b-425b-ac15-e82f99033f46
Martin, K.R.
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Rees, C.
fea2fcd2-523f-4e49-8dd9-dafebd7bee75
Curran, J
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Ball, D.
10949d9c-f314-4563-9513-579298d4d8f3
Kane, L.
7a0f8a7f-c6ab-402b-bfc6-8edea0e26815
Powell, D.
e1e53a46-a37b-425b-ac15-e82f99033f46
Martin, K.R.
a49d2edd-3274-48d0-b8a8-b5b3a859e700
Rees, C.
fea2fcd2-523f-4e49-8dd9-dafebd7bee75
Curran, J
4f37fbbb-7c0f-4b66-a600-d1ec0b6a1791
Ball, D.
10949d9c-f314-4563-9513-579298d4d8f3

Kane, L., Powell, D., Martin, K.R., Rees, C., Curran, J and Ball, D. (2025) Continuous heart rate variability monitoring, stress and recovery in doctors: a systematic review and meta-analysis. Occupational Medicine, 75 (9), 630-639. (doi:10.1093/occmed/kqaf101).

Record type: Article

Abstract

Background: burnout is a rising concern among doctors. Heart rate variability (HRV), a non-invasive measure of autonomic nervous system activity, can reflect physiological states of sympathetic (stress) and parasympathetic (recovery) nervous system activity.

Aims: this review aims to evaluate how continuous ambulatory HRV monitoring has been used to understand patterns of stress and recovery in doctors.

Methods: the study protocol was preregistered (PROSPERO CRD42023413282). A comprehensive search was conducted. Studies were eligible if they reported at least one HRV parameter combined with at least one contextual or psychological assessment over a 24-hour period in a doctor population. Methodological quality was assessed using the Joanna Briggs Institute risk of bias assessment for case reports and the Standard for Reporting Diagnostic Accuracy in HRV studies STARDHRV.

Results: we identified 805 records of which seven studies met the inclusion criteria. Meta-analysis was carried out for five different HRV parameters. Studies were conducted in seven different countries, ranged in participant numbers from 12 to 54 and each used a different HRV measurement device. There was a statistically significant difference in HRV between stress and recovery periods with four of these five parameters; root mean square of successive differences SMD = −0.63, P = 0.005, standard deviation of the NN (inter-beat) intervals SMD = −1.05, P = 0.001, low frequency (LF) Standard Mean Difference (SMD) = 0.54, P = 0.01, LF/high frequency (HF) SMD = 0.69, P = 0.006. The quality of studies was moderate at best.

Conclusions: continuous HRV monitoring may offer a viable method for tracking stress and recovery patterns that may contribute to burnout.

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e-pub ahead of print date: 28 October 2025
Published date: 1 December 2025

Identifiers

Local EPrints ID: 511421
URI: http://eprints.soton.ac.uk/id/eprint/511421
ISSN: 0962-7480
PURE UUID: 7a38dc21-f52a-44fe-b07d-6e1838bc1df8
ORCID for D. Powell: ORCID iD orcid.org/0000-0003-4995-6057

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Date deposited: 14 May 2026 16:35
Last modified: 15 May 2026 02:15

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Contributors

Author: L. Kane
Author: D. Powell ORCID iD
Author: K.R. Martin
Author: C. Rees
Author: J Curran
Author: D. Ball

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