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Feb 20, 2024
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2-1 Discussion: Controls, Variables, Confounding Results
The experiment I chose was Dr. Ramirez and exposure to coal dust.
The people working in the coal mine are the model.
The independent variable is chronic exposure to coal dust
The dependent variable is the workers getting cancer
The negative control is the office workers.
The extraneous factors are inherited health issues or other factors, such as the use of tobacco products.
I think it is impossible to control all confounding variables in humans effectively. After reading the main article, the researchers did well in trying to account for and reduce variables in the study. There is no guarantee that students didn’t fib during the questionnaire, nor does it account for underlying health issues (Burke et al., 1998). The diet did not consider good and bad carbs, sugars, and alcohol. This was a very complex study, and the researchers really did try to eliminate many confounding variables. The study also did not discuss how much time had passed
for an ex-smoker (Buncher & Morrison, 1998). Other factors associated with exposure can change the association between the disease and exposure, leading to erroneous results (Pourhoseingholi et al., 2012). With wild animals or plants, I think there are fewer confounding variables. Any wild species will have a higher probability of some sort of confounding variable than research in a controlled area such as a lab.
Burke, V., Gracey, M., Milligan, R., Taggart, A., & Thompson, C. (1998). Southern New Hampshire University
. Parental smoking and risk factors for cardiovascular disease in 10- to 12-
year-old children. https://www-sciencedirect-com.ezproxy.snhu.edu/science/article/pii/
S0379073818300616
Buncher, C. ScD, Morrison, J. Ph.D. (1998). Those confounding variables!.
The Journal of Pediatrics, 133
(2), 174-175.
Pourhoseingholi, M. A., Baghestani, A. R., & Vahedi, M. (2012). How to control confounding effects by statistical analysis.
Gastroenterology and Hepatology from Bed to Bench
,
5
(2), 79–83.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017459/#:~:text=A%20Confounder%20is
%20an%20extraneous
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