Trends in Daily Heart Rate Variability Fluctuations Are Associated with Longitudinal Changes in Stress and Somatisation in Police Officers.

ecological momentary assessment heart rate variability longitudinal somatisation stress wearables

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
12 Jan 2022
Historique:
received: 18 11 2021
revised: 30 12 2021
accepted: 05 01 2022
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 22 1 2022
Statut: epublish

Résumé

The emergence of wearable sensors that allow for unobtrusive monitoring of physiological and behavioural patterns introduces new opportunities to study the impact of stress in a real-world context. This study explores to what extent within-subject trends in daily Heart Rate Variability (HRV) and daily HRV fluctuations are associated with longitudinal changes in stress, depression, anxiety, and somatisation. Nine Dutch police officers collected daily nocturnal HRV data using an Oura ring during 15-55 weeks. Participants filled in the Four-Dimensional Symptoms Questionnaire every 5 weeks. A sample of 47 five-week observations was collected and analysed using multiple regression. After controlling for trends in total sleep time, moderate-to-vigorous physical activity and alcohol use, an increasing trend in the seven-day rolling standard deviation of the HRV (HRVsd) was associated with increases in stress and somatisation over 5 weeks. Furthermore, an increasing HRV trend buffered against the association between HRVsd trend and somatisation change, undoing this association when it was combined with increasing HRV. Depression and anxiety could not be related to trends in HRV or HRVsd, which was related to observed floor effects. These results show that monitoring trends in daily HRV via wearables holds promise for automated stress monitoring and providing personalised feedback.

Identifiants

pubmed: 35052307
pii: healthcare10010144
doi: 10.3390/healthcare10010144
pmc: PMC8776208
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Herman de Vries (H)

Research Group Digital Transformation, Hanze University of Applied Sciences, Zernikeplein 11, 9747 AS Groningen, The Netherlands.
Department of Human Behaviour & Training, Netherlands Organization for Applied Scientific Research (TNO), Kampweg 55, 3769 DE Soesterberg, The Netherlands.
Department of Health Psychology, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.

Wim Kamphuis (W)

Department of Human Behaviour & Training, Netherlands Organization for Applied Scientific Research (TNO), Kampweg 55, 3769 DE Soesterberg, The Netherlands.

Cees van der Schans (C)

Department of Health Psychology, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Department of Rehabilitation Medicine, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Research Group Healthy Ageing Allied Health Care and Nursing, Hanze University of Applied Sciences, Petrus Driessenstraat 3, 9714 CA Groningen, The Netherlands.

Robbert Sanderman (R)

Department of Health Psychology, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Department of Psychology, Health and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands.

Hilbrand Oldenhuis (H)

Research Group Digital Transformation, Hanze University of Applied Sciences, Zernikeplein 11, 9747 AS Groningen, The Netherlands.

Classifications MeSH