As shown in the figure below, the Pearson R Correlation Coefficients between the average PEF rate of asthmatic subjects (n=63) and the pollutant levels. A strong inverse correlation between the PEF and both the TVOC and PM10 levels is evident. The Pearson R Correlation Coefficients for CO and CO2 are weak.

Equations 3 and 4 (see Step 7) represent a mathematical model that modifies Nunn's 1989 PEF rate and uniquely incorporates the PM10 and TVOC concentration levels in order to support targeted remediation. Please refer to Step 7 for a representative example demonstrating targeted remediation.
  • Medical: Targeted remediation, less severe asthma symptoms and fewer asthma patients.
  • Environmental: Indoor Air Quality Awareness and Improvement.
  • Political: Clean Air Act, OSHA Regulations (Note that TVOC is not a criteria pollutant in the US Clean Air Act).
  • Economic: Improved workforce productivity, decreased economic burden of asthma and other respiratory disorders.
   There is a saying in the environmental public health classes. "The genetic make-up is like loading a gun. The environmental pollutants represent the trigger!"
    Is it possible that by targeting the environment, the trigger would mitigate, the incidence of asthma or other respiratory disorders would decline, and the need for steroids or other inhaler treatments (which are known to have serious side effects) could either be reduced or eliminated?

For an abbreviated technical report (6 pages) please click here.

(I am in the process of revising this paper and plan to submit it for review and possible publication)

How did your experiment support or contradict your original hypothesis? How could you improve your experiment? Did everything go as planned or were there unexpected results? Does what you learned lead to a new question to ask or experiment that would answer it? If so, why would it be important, interesting, or useful to do?


Judges' Tip
An excellent conclusion will explain how the experiment answers the question or why it fails to do so and whether or not it supports the hypothesis (500 words maximum).