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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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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 |
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