Evidence map›Paper›PMID 41292097›Full record

ArticleStress and health : journal of the International Society for the Investigation of Stress2025

Assessing Stress Level Scores Against Wearables-Driven Physiological Measurements.

Hadar Rosenbach, Alon Itzkovitch, Yori Gidron, Tom Schonberg

Abstract read
In one paragraph

Article in Stress and health : journal of the International Society for the Investigation of Stress, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Assessing Stress Level Scores Against Wearables-Driven Physiological Measurements.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Article
  6. Article
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

4 authors.

Hadar RosenbachSchool of Neurobiology, Biochemistry & Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0009-0001-4497-8866
Alon ItzkovitchSchool of Neurobiology, Biochemistry & Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Yori GidronDept. of Nursing, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
Tom SchonbergSchool of Neurobiology, Biochemistry & Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-4485-816X

Funding

Israel Science Foundation
6 · The paper itself

Abstract

Daily stressors elicit physiological and mental responses impacting health, cognition, and behaviour. Accurately assessing psychological stress responses in natural settings remains challenging despite extensive research, though wrist-worn devices have the potential to address this gap through remote data collection. The Garmin fitness tracker provides a stress score largely based on HRV which must be validated prior to use in research. This study aimed to (1) predict psychological self-reported stress from physiological measurements and Garmin calculated stress score, and (2) assess the stress score given by the Garmin Vivosmart 4 against HR and HRV from ECG recordings derived by the Polar H10 chest strap. A pilot study of 29 participants was conducted, followed by power calculations and preregistration of the main study which included 60 participants. Data were collected simultaneously from both Garmin and Polar device during a laboratory session of restful and mental-stress-inducing tasks. Garmin's stress score, mean HR, SD2/SD1, and HF power exhibited significant differences between stress and rest conditions. Moreover, Garmin's stress score correlated significantly with HR, RMSSD, and SD2/SD1. However, out of our physiological measurements, heart rate showed the strongest association with self-reported stress, while the Garmin stress score demonstrated only marginal predictive value for subjective stress experience. Our findings also suggest that physiological responses to mental stress were influenced by sex and tonic HRV. The study suggests that the GSS, although even better heart rate, are indicative of mental stress. Garmin, with its accessibility and noninvasive nature, measures both heart rate and consumer health score (stress), promising widespread utilisation in various research domains.

Indexed as

Fitness TrackersHeart RateStress, PsychologicalWearable Electronic DevicesAdultElectrocardiographyFemaleHumansMalePilot ProjectsSelf ReportYoung Adultgarmin vivosmart 4heart rate variabilityHRVmental stress detectionphysiological signalsremote sensorstressvaliditywearable sensorwrist‐worn device

Identifiers

PMID41292097
PMCPMC12647429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.