Some Quantitative Relations between Indoor Environmental Quality and Work Performance or Health
Open accessAbstract
Poor indoor environmental quality (IEQ) has been related to increases in sick building syndrome (SBS) symptoms, respiratory illnesses, sick leave, and loss in productivity. Calculations indicate that the cost of poor IEQ can be higher than energy costs FOR space conditioning and ventilation and that many measures taken to improve indoor IEQ will be highly cost-effective when accounting for the monetary savings resulting from improved health or productivity. To enable building professionals to select of building designs and operating practices that account for effects on health and productivity, we need models for quantifying the health and productivity benefits of better indoor environments. Therefore, we have reviewed the literature on the effects of indoor environment on health and performance and used existing data, when possible, to develop some initial models. Based on the best available evidence, we present quantitative relationships between ventilation rates and short-term sick leave, ventilation rates and work performance, perceived air quality and performance, temperature and performance, and temperature and SBS symptoms. We also show that a relationship exists between SBS symptoms and work performance.
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Similar nonlinear relationships between indoor temperature and cognitive test performance show an optimum range for cognitive tests and office work productivity centered around 22°C.
“Similar nonlinear relationships between indoor temperature and cognitive test performance show an optimum range for cognitive tests and office work productivity centered around 22°C [27,41].”
From Reduced cognitive function during a heat wave among residents of non-air-conditioned buildings: An observational study of young adults in the summer of 2016 (2018) · cites this paper as [41]
The Temperature and Performance section (page not available in our copy) reports a nonlinear relationship for work-related performance, with a fitted peak at 21.6°C—approximately 22°C. It combines field work measures and laboratory tasks, but does not establish a separate optimum for cognitive tests, so that part of the claim is not supported. (LLM, conf=0.84)
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- Authors
- Seppänen, O. A., & Fisk, W.
- Affiliations
- a Department of Mechanical Engineering , Helsinki University of Technology , Espoo, Finland
- Lawrence Berkeley National Laboratory (US)
- Venue
- HVAC&R Research
- Publisher
- Informa UK Limited
- Published
- 2006-10
- Volume
- 12
- Issue
- 4
- Pages
- 957-973
- ISSN
- 1078-9669 (ISSN-L)
- 1938-5587
- OpenAlex
- W1497215422
- Cited by
- 53
- References
- 45
- Citations by year
- 2024: 3 · 2023: 4 · 2021: 4 · 2020: 3 · 2019: 5 · 2018: 8 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 3
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- Science and Technology for the Built Environment (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- University of North Texas Digital Library (University of North Texas) (submittedVersion)
- Lawrence Berkeley National Laboratory
- Funders
- U.S. Department of Energy (DE-AC03-?, AC03-76SF00098)
- U.S. Environmental Protection Agency
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Social Sciences › Psychology › Social Psychology › Facilities and Workplace Management
- Keywords
- indoor environmental quality, sick building syndrome, employee performance, sick leave, ventilation rate, perceived air quality, indoor temperature, productivity loss, respiratory diseases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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