Literature DB >> 28108783

Health symptoms in relation to temperature, humidity, and self-reported perceptions of climate in New York City residential environments.

Ashlinn Quinn1, Jeffrey Shaman2.   

Abstract

Little monitoring has been conducted of temperature and humidity inside homes despite the fact that these conditions may be relevant to health outcomes. Previous studies have observed associations between self-reported perceptions of the indoor environment and health. Here, we investigate associations between measured temperature and humidity, perceptions of indoor environmental conditions, and health symptoms in a sample of New York City apartments. We measured temperature and humidity in 40 New York City apartments during summer and winter seasons and collected survey data from the households' residents. Health outcomes of interest were (1) sleep quality, (2) symptoms of heat illness (summer season), and (3) symptoms of respiratory viral infection (winter season). Using mixed-effects logistic regression models, we investigated associations between the perceptions, symptoms, and measured conditions in each season. Perceptions of indoor temperature were significantly associated with measured temperature in both the summer and the winter, with a stronger association in the summer season. Sleep quality was inversely related to measured and perceived indoor temperature in the summer season only. Heat illness symptoms were associated with perceived, but not measured, temperature in the summer season. We did not find an association between any measured or perceived condition and cases of respiratory infection in the winter season. Although limited in size, the results of this study reveal that indoor temperature may impact sleep quality, and that thermal perceptions of the indoor environment may indicate vulnerability to heat illness. These are both important avenues for further investigation.

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Year:  2017        PMID: 28108783      PMCID: PMC5479711          DOI: 10.1007/s00484-016-1299-4

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  28 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-09       Impact factor: 11.205

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Authors:  Ashlinn Quinn; James D Tamerius; Matthew Perzanowski; Judith S Jacobson; Inge Goldstein; Luis Acosta; Jeffrey Shaman
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Authors:  Jaime Madrigano; Kazuhiko Ito; Sarah Johnson; Patrick L Kinney; Thomas Matte
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