International Journal of Biometeorology

, Volume 61, Issue 7, pp 1209–1220 | Cite as

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

  • Ashlinn QuinnEmail author
  • Jeffrey Shaman
Original Paper


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.


Sleep Quality Winter Season Summer Season Indoor Environment Outdoor Temperature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



AQ’s contributions to this work were supported by the US National Institute of Environmental Health Sciences, via the Interdisciplinary Training Grant in Climate And Health (Grant No. T32 ES023770) and the Center for Environmental Health in Northern Manhattan (Grant No. P30 ES009089). JS’s work was funded by the National Institute of General Medical Sciences (Grant No. GM100467).

Supplementary material

484_2016_1299_MOESM1_ESM.docx (78 kb)
ESM 1 (DOCX 78 kb).


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Copyright information

© ISB 2017

Authors and Affiliations

  1. 1.Department of Environmental Health Sciences, Mailman School of Public HealthColumbia UniversityNew YorkUSA

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