So what is this Research article based upon and what message does it convey?
The research article called 'Effects of Particle Air Pollution on Cardiovascular Disease', by Jing Feng and Wei Yang (2012), observes the effects of Particulate matter (PM) air pollution as a important and modifiable risk factor for heart disease. Though there are still gaps regarding this genre of this study, Feng and Yang's goal is to shed more light and fill these gaps in this study.
Feng and Wei's initial methods were create separate categories of data of which included, Individual-level data, Ambient air pollution data, Geostatistical and Statistical analysis. In the Individual-level, Feng and Yang obtained their data from the U.S. Behavioral Risk Factor Surveillance System (BRFSS). This system uses a random digit dialing system, in which adults 18+ ( non-institutionalized) were asked if they were ever told by a certified health professional (i.e. nurse, doctor etc.) that they suffer a form of CVD, recording racial gradients and percents over several years.
The second method was to measure the concentration of pollutants in the air quality. This was extracted from the U.S. Environmental Protection Agency Air Quality System, over the duration of 6 years (1999-2005)
Now combining these data sets, Risks for individual CVD were estimated via mixed-effects logistic regression line with a maximum likelihood method. This data set was to be categorized into gender, race, type of CVD etc. and when performed, the probability of contracting CVD was analyzed.
Feng and Yang's results from their research showed that approximately 11% of the population that they surveyed were positive for high risk CVD and when broken down people who lived in polluted dense areas composed the majority of the 11%.
In conclusion Feng and Yang mention that this is only data based on U.S and further research is needed to prove that people living in higher polluted areas have higher chances of contracting CVD, reiterating that this was a simple research observation to help encourage similar observations and to help close the gap on this uprising problem.
In all, I just wanted to share this to you so that you are just more self aware and maybe live a greener lifestyle, by that lowering greenhouse emissions caused by people commuting etc.
Feng and Wei's initial methods were create separate categories of data of which included, Individual-level data, Ambient air pollution data, Geostatistical and Statistical analysis. In the Individual-level, Feng and Yang obtained their data from the U.S. Behavioral Risk Factor Surveillance System (BRFSS). This system uses a random digit dialing system, in which adults 18+ ( non-institutionalized) were asked if they were ever told by a certified health professional (i.e. nurse, doctor etc.) that they suffer a form of CVD, recording racial gradients and percents over several years.The second method was to measure the concentration of pollutants in the air quality. This was extracted from the U.S. Environmental Protection Agency Air Quality System, over the duration of 6 years (1999-2005)
Now combining these data sets, Risks for individual CVD were estimated via mixed-effects logistic regression line with a maximum likelihood method. This data set was to be categorized into gender, race, type of CVD etc. and when performed, the probability of contracting CVD was analyzed.Feng and Yang's results from their research showed that approximately 11% of the population that they surveyed were positive for high risk CVD and when broken down people who lived in polluted dense areas composed the majority of the 11%.
In conclusion Feng and Yang mention that this is only data based on U.S and further research is needed to prove that people living in higher polluted areas have higher chances of contracting CVD, reiterating that this was a simple research observation to help encourage similar observations and to help close the gap on this uprising problem.
In all, I just wanted to share this to you so that you are just more self aware and maybe live a greener lifestyle, by that lowering greenhouse emissions caused by people commuting etc.
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