Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Srinivasan, Karthik, Currim, Faiz, Lindberg, Casey M., Razjouyan, Javad, Gilligan, Brian, Lee, Hyoki, Canada, Kelli J., Goebel, Nicole, Mehl, Matthias R., Lunden, Melissa M., Heerwagen, Judith, Najafi, Bijan, Sternberg, Esther M., Kampschroer, Kevin, Ram, Sudha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839735/
https://www.ncbi.nlm.nih.gov/pubmed/36639725
http://dx.doi.org/10.1038/s41746-022-00727-1
_version_ 1784869508715905024
author Srinivasan, Karthik
Currim, Faiz
Lindberg, Casey M.
Razjouyan, Javad
Gilligan, Brian
Lee, Hyoki
Canada, Kelli J.
Goebel, Nicole
Mehl, Matthias R.
Lunden, Melissa M.
Heerwagen, Judith
Najafi, Bijan
Sternberg, Esther M.
Kampschroer, Kevin
Ram, Sudha
author_facet Srinivasan, Karthik
Currim, Faiz
Lindberg, Casey M.
Razjouyan, Javad
Gilligan, Brian
Lee, Hyoki
Canada, Kelli J.
Goebel, Nicole
Mehl, Matthias R.
Lunden, Melissa M.
Heerwagen, Judith
Najafi, Bijan
Sternberg, Esther M.
Kampschroer, Kevin
Ram, Sudha
author_sort Srinivasan, Karthik
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9839735
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-98397352023-01-15 Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling Srinivasan, Karthik Currim, Faiz Lindberg, Casey M. Razjouyan, Javad Gilligan, Brian Lee, Hyoki Canada, Kelli J. Goebel, Nicole Mehl, Matthias R. Lunden, Melissa M. Heerwagen, Judith Najafi, Bijan Sternberg, Esther M. Kampschroer, Kevin Ram, Sudha NPJ Digit Med Article 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. Nature Publishing Group UK 2023-01-13 /pmc/articles/PMC9839735/ /pubmed/36639725 http://dx.doi.org/10.1038/s41746-022-00727-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Srinivasan, Karthik
Currim, Faiz
Lindberg, Casey M.
Razjouyan, Javad
Gilligan, Brian
Lee, Hyoki
Canada, Kelli J.
Goebel, Nicole
Mehl, Matthias R.
Lunden, Melissa M.
Heerwagen, Judith
Najafi, Bijan
Sternberg, Esther M.
Kampschroer, Kevin
Ram, Sudha
Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
title Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
title_full Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
title_fullStr Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
title_full_unstemmed Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
title_short Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
title_sort discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical bayes modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839735/
https://www.ncbi.nlm.nih.gov/pubmed/36639725
http://dx.doi.org/10.1038/s41746-022-00727-1
work_keys_str_mv AT srinivasankarthik discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT currimfaiz discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT lindbergcaseym discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT razjouyanjavad discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT gilliganbrian discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT leehyoki discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT canadakellij discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT goebelnicole discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT mehlmatthiasr discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT lundenmelissam discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT heerwagenjudith discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT najafibijan discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT sternbergestherm discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT kampschroerkevin discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling
AT ramsudha discoveryofassociativepatternsbetweenworkplacesoundlevelandphysiologicalwellbeingusingwearabledevicesandempiricalbayesmodeling