دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
المؤلفون: Karthik Srinivasan, Faiz Currim, Casey M. Lindberg, Javad Razjouyan, Brian Gilligan, Hyoki Lee, Kelli J. Canada, Nicole Goebel, Matthias R. Mehl, Melissa M. Lunden, Judith Heerwagen, Bijan Najafi, Esther M. Sternberg, Kevin Kampschroer, Sudha Ram
المصدر: npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
بيانات النشر: Nature Portfolio, 2023.
سنة النشر: 2023
المجموعة: LCC:Computer applications to medicine. Medical informatics
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7
الوصف: 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) 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2398-6352
Relation: https://doaj.org/toc/2398-6352
DOI: 10.1038/s41746-022-00727-1
URL الوصول: https://doaj.org/article/1f8891e3d81243ebb5a4428dfc13cbe7
رقم الأكسشن: edsdoj.1f8891e3d81243ebb5a4428dfc13cbe7
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23986352
DOI:10.1038/s41746-022-00727-1