| Posted at 2:18 PM on Mar 21, 2007 by www.starkcon, #20487 |
I am an asthma educator and there is no evidence that inhaled steroids contribute to Keratonisis or any eye disease. I too had Keratonosis and got it from a viral infection to my eye. I do not have asthma nor do I use asthma medications. I have very limited exposure to asthma medications from my patients.
To make such a correlation between asthma medication and eye disease is pointless in the regards that you are basing your assumption off of anecdotal evidence. Anecdotal evidence is evidence with no scientific backing and therefore not worthy for consideration among the scientific community. Correlations in genreal are not good at establishing causality, or a cause/effect relationship because they do not elimiate confounding variables, they don not establish a temporal sequence, and they do not establish covariation among variables. It is like saying, As the national levels of ice cream sales increase, natinoal homicide rates also increase. That is an example of a correlation between two things. The problem with this correlation is that there might be some third variable, or confound, that is playing a role in one or both of the other two variables, ice cream sales and homoicde rates. So should we outlaw the production and distribution of ice cream as a means of lowering homocide rates? Seems pretty silly right? It is likely that ice cream sales and homicide rates are influced by a third variable, namely seasonal variation in the weather. When it's hot outside, people buy more ice cream. In addition, when it's hot outside, people become more easily frustrated, and so they might become more prone toward violence. Because the temperature is causeing changes in both variables, the two variables will covary with one another and give the false appearance of a causal relation. I too have asthma and take the medications you have listed. I have not had any problems with my eye sight and in fact have never worn glasses or contacts. I have been on asthma medication for about 16 years. Hope this helps widen your understanding of establishing causality.
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