Evidence map›Paper›PMID 36639725›Full record

ArticleNPJ digital medicine2023

Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling.

Karthik Srinivasan, Faiz Currim, Casey M Lindberg, Javad Razjouyan, Brian Gilligan, Hyoki Lee, Kelli J Canada, Nicole Goebel, Matthias R Mehl, Melissa M Lunden and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

15 authors.

Karthik SrinivasanSchool of Business, University of Kansas, Lawrence, KS, USA. karthiks@ku.edu.ORCID http://orcid.org/0000-0002-1608-6190
Faiz CurrimDepartment of Management Information Systems, Eller College of Management, University of Arizona, Tucson, AZ, USA.
Casey M LindbergHKS Inc, Denver, CO, USA.
Javad RazjouyanCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Baylor College of Medicine, Houston, TX, USA.
Brian GilliganOffice of Federal High Performance Green Buildings, U.S. General Services Administration, Washington, DC, USA.
Hyoki LeeBest Buy, Boston, MA, USA.
Kelli J CanadaOffice of Federal High Performance Green Buildings, U.S. General Services Administration, Washington, DC, USA.
Nicole GoebelAclima, Inc, San Francisco, CA, USA.
Matthias R MehlDepartment of Psychology, University of Arizona, Tucson, AZ, USA.
Melissa M LundenAclima, Inc, San Francisco, CA, USA.
Judith HeerwagenOffice of Federal High Performance Green Buildings, U.S. General Services Administration, Washington, DC, USA.
Bijan NajafiCenter to Stream HealthCare in Place (C2SHIP), Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-0320-8101
Esther M SternbergInstitute on Place, Wellbeing, and Performance, University of Arizona, Tucson, AZ, USA.
Kevin KampschroerOffice of Federal High Performance Green Buildings, U.S. General Services Administration, Washington, DC, USA.
Sudha RamDepartment of Management Information Systems, Eller College of Management, University of Arizona, Tucson, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a field study using multiple wearable devices on 231 federal office workers to assess the impact of the indoor environment on individual wellbeing. Past research has established that the workplace environment is closely tied to an individual's wellbeing. Since sound is the most-reported environmental factor causing stress and discomfort, we focus on quantifying its association with physiological wellbeing. Physiological wellbeing is represented as a latent variable in an empirical Bayes model with heart rate variability measures-SDNN and normalized-HF as the observed outcomes and with exogenous factors including sound level as inputs. We find that an individual's physiological wellbeing is optimal when sound level in the workplace is at 50 dBA. At lower (<50dBA) and higher (>50dBA) amplitude ranges, a 10 dBA increase in sound level is related to a 5.4% increase and 1.9% decrease in physiological wellbeing respectively. Age, body-mass-index, high blood pressure, anxiety, and computer use intensive work are person-level factors contributing to heterogeneity in the sound-wellbeing association.

Identifiers

PMID36639725
PMCPMC9839735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.