Dataset Information

Longitudinal dataset of human-building interactions in U.S. offices.

ABSTRACT: Adaptive interactions between building occupants and their surrounding environments affect both energy use and environmental quality, as demonstrated by a large body of modeling research that quantifies the impacts of occupant behavior on building operations. Yet, available occupant field data are insufficient to explore the mechanisms that drive this interaction. This paper introduces data from a one year study of 24 U.S. office occupants that recorded a comprehensive set of possible exogenous and endogenous drivers of personal comfort and behavior over time. The longitudinal data collection protocol merges individual thermal comfort, preference, and behavior information from online daily surveys with datalogger readings of occupants' local thermal environments and control states, yielding 2503 survey responses alongside tens of thousands of concurrent behavior and environment measurements. These data have been used to uncover links between the built environment, personal variables, and adaptive actions, and the data contribute to international research collaborations focused on understanding the human-building interaction.

SUBMITTER: Langevin J

PROVIDER: S-EPMC6879474 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Longitudinal dataset of human-building interactions in U.S. offices.

Langevin Jared J

Scientific data 20191126 1

Adaptive interactions between building occupants and their surrounding environments affect both energy use and environmental quality, as demonstrated by a large body of modeling research that quantifies the impacts of occupant behavior on building operations. Yet, available occupant field data are insufficient to explore the mechanisms that drive this interaction. This paper introduces data from a one year study of 24 U.S. office occupants that recorded a comprehensive set of possible exogenous ...[more]

PMID: 31772179

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Project description:BackgroundThe goal of this study was to understand prospective cohort study Principal Investigators' (PIs') attitudes regarding the importance of religion and spirituality (R/S) on disease etiology in order to identify barriers and opportunities for greater inclusion of these domains in high-quality epidemiological research.MethodsOne-hour, semi-structured qualitative interviews were conducted with 20 PIs, who represent 24 different National Institutes of Health (NIH)-funded prospective cohort studies in the U.S. Collectively, these PIs collect detailed health data on approximately 1.25 of every 100 adult Americans. Sample size was calculated to achieve thematic saturation.ResultsThe majority of PIs we interviewed viewed R/S as potentially important factors influencing disease etiology, particularly among minority communities that report higher levels of religiosity. Yet nearly all PIs interviewed felt there was not yet a compelling body of evidence elucidating R/S influences on health, and the potential mechanisms through which R/S may be operating to affect health outcomes. PIs identified 5 key areas that would need to be addressed before they would be persuaded to collect more R/S measures in their cohorts: (1) high-quality, prospective studies that include all appropriate covariates for the outcome under study; (2) studies that posit a plausible biological mechanism of effect; (3) well-validated R/S measures, collected in common across multiple cohorts; (4) the need to address bias against R/S research among investigators; and (5) NIH funding for R/S research.ConclusionsResults of this study provide a roadmap for future R/S research investigating the impact of R/S influences on disease etiology within the context of U.S. prospective cohort studies. Identifying significant R/S influences on health could inform novel interventions to improve population health. Given the higher levels of religiosity/spirituality among minority communities, R/S research may also provide new leverage points for reducing health disparities.

Dataset Information

Longitudinal dataset of human-building interactions in U.S. offices.

Publications

Longitudinal dataset of human-building interactions in U.S. offices.

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