Associations between personal apparent temperature exposures and asthma symptoms in children with asthma

PLoS One. 2023 Nov 13;18(11):e0293603. doi: 10.1371/journal.pone.0293603. eCollection 2023.

Abstract

Ambient temperature and relative humidity can affect asthma symptoms. Apparent temperature is a measure of temperature perceived by humans that takes into account the effect of humidity. However, the potential link between personal exposures to apparent temperature and asthma symptoms has not been investigated. We conducted a panel study of 37 asthmatic children, aged 5-11 years, during an early spring season (average daily ambient temperature: 14°C, range: 7-18°C). Asthma symptoms were measured 4 times for each participant with a 2-week interval between consecutive measurements using the Childhood Asthma-Control Test (C-ACT). Average, minimum, and maximum personal apparent temperature exposures, apparent temperature exposure variability (TV), and average ambient temperature were calculated for the 12 hours, 24 hours, week, and 2 weeks prior to each visit. We found that a 10°C lower in 1-week and 2-week average & minimum personal apparent temperature exposures, TV, and average ambient temperature exposures were significantly associated with lower total C-ACT scores by up to 2.2, 1.4, 3.3, and 1.4 points, respectively, indicating worsened asthma symptoms. Our results support that personal apparent temperature exposure is potentially a stronger driver than ambient temperature exposures for the variability in asthma symptom scores. Maintaining a proper personal apparent temperature exposure could be an effective strategy for personalized asthma management.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • Asthma* / complications
  • Child
  • Environmental Exposure
  • Humans
  • Humidity
  • Seasons
  • Temperature

Substances

  • Air Pollutants

Grants and funding

This study is a secondary analysis of the data collected from a previous study. The previous study is funded by Underwriters Laboratories Inc and the National Natural Science Foundation of China (grant numbers 51521005 and 51420105010). However, no specific funding has supported the current analysis. Dr. Marilyn Black received a salary from the Underwriters Laboratories (UL), as she was employed by UL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.