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Evaluating Cardiorespiratory Responses to Slow Breathing in Young Healthy Individuals: FitBit “Relax Mode” <i>versus</i> RESPeRATE

2019· article· en· W3173518523 on OpenAlexafffundabout
Evan D. Jette, Tessa E. Adler, Frank Niro, Yasmine Coovadia, Dennis Jensen, Charlotte W. Usselman

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCardiorespiratory fitnessHeart rateMedicineBaroreflexRespirationRespiratory rateBlood pressureRespiratory systemRespiratory minute volumeCardiologyTidal volumeVentilation (architecture)AnesthesiaInternal medicinePhysics

Abstract

fetched live from OpenAlex

Device‐guided slow breathing has been tested in clinical populations (e.g., hypertension, type II diabetes) with the goal of reducing blood pressure (BP) via a sensitization of the baroreflex. The FitBit's “Relax Mode” and the RESPeRATE device are commercially available devices which acutely reduce an individual's respiration rate and, by extension, BP. To the best of our knowledge no studies have directly compared the cardiorespiratory effects of these devices. The purpose of this study was to compare acute respiratory and BP responses to the RESPeRATE device (RESP), the FitBit's Relax Mode (FB). We hypothesized that RESP would result in greater decreases in respiratory rate than FB, leading to larger decreases in BP. We evaluated the responses to a single bout of RESP (15 min) and FB (5 min) in young (mean±SD age: 23±1 y), healthy (BMI: 23±3 kg/m 2 ; mean arterial BP [MAP]: 82±8 mmHg) individuals (n=2 men, n=3 women). To normalize the duration of the stimuli, we compared the mean of the responses to FB to the mean of the last 5 min of RESP; the order of devices was randomized between subjects. Both devices were effective in reducing respiration rate from baseline (RESP: 11.1±3.5 to 5.6±0.7 breaths/min; FB: 11.2±1.8 to 7.3±0.3; main effect of slow breathing: p<0.01; effect of device: p=0.4). In contrast, tidal volume expansion increased from baseline during slow breathing (RESP: 0.70±0.33 to 1.41±0.50 L; FB: 0.61±0.17 to 1.20±0.59; main effect of slow breathing: p<0.01; effect of device: p=0.6). However, there was no change in minute ventilation from baseline levels (RESP: 7.0±1.8 to 7.8±3.0 L/min; FB: 6.7±1.8 to 8.7±4.2; main effect of slow breathing: p=0.1; effect of device: p=0.9), suggesting that the subjects did not hyperventilate during either slow breathing condition. MAP decreased from baseline during slow breathing (RESP: 82±8 to 80±8 mmHg; FB: 82±8 to 81±7; main effect of slow breathing: p=0.01; effect of device: p=0.9). Conversely, a significant slow breathing by device interaction (p=0.05) revealed that diastolic BP (DBP) was reduced from baseline only in the RESP condition (69±7 to 67±8 mmHg, p<0.01); FB was not associated with a reduction in DBP (69±8 to 69±8 mmHg, p=0.2). Our preliminary data indicated that while RESP reduced respiratory rate similarly to the FB, RESP may be more effective than FB at acutely reducing DBP in young healthy adults. Support or Funding Information This project was supported by a Natural Sciences and Engineering Research Council Discovery Grant (CWU). TEA & YC were supported by the McGill Department of Kinesiology and Physical Education Graduate Excellence Fellowship. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.360
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes3
Has abstractyes

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