SU_PHE5015_W3_Project_Williams_S3

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Jan 9, 2024

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Week 3 Project Sabrina E. Williams South University Course ID: PHE5015 Dr. Cooksey 12/18/2023
Week 3 Project Part 1 In a hypothetical cohort study conducted by an independent organization studying lung cancer, they found that out of 2,533 people 315 were diagnosed with lung cancer. 296 of the participants diagnosed with lung cancer smoked. Of the participants who did not have lung cancer, 1259 did not smoke. Calculate each of the following indices and provide an interpretation. Lung Cancer No Lung Cancer Total Smoker 296 a 959 b 1255 Nonsmoker 19 c 1259 d 1278 Total 315 2219 2533 1. What is the incidence of lung cancer? Incidence= Number of newcases of disease Person time of of observation candidate population Incidence = 315 2533 x 100 Incidence = 0.124 x 100 Incidence = 12.4% or 0.124
2. What is the risk ratio (RR) of smoking? How would you interpret this index? Relative Risk (RR) : Ru or ( a /( a + b )) ¿¿ RR= ( 296 /( 296 + 959 )) ( 19 /( 19 + 1259 )) RR= 0.236 0.015 RR= 15.73 The risk ratio 15.73 implies that the risk of smoking and having lung cancer is greater than if an induvial doesn’t smoke and doesn’t have lung cancer. 3. What is the attributable risk (AR) of smoking? What is the interpretation of the AR? ARD = Re – Ru ARD = 0.236-0.015 ARD= 0.221 This means 22.1% of incidence of lung cancer among smokers that is attributable to their smoking habit. 4. What is the population attributable risk (APt)? What is the interpretation of the population attributable risk? AP t = ( Pe ( RR 1 ) Pe ( RR 1 ) + 1 ) x 100
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AP t = ( 0.221 ( 15.73 1 ) 0.221 ( 15.73 1 ) + 1 ) x 100 APt= ( 0.221 ( 14.73 ) 0.221 ( 15.73 ) ) x 100 APt ( 3.255 3.476 ) x 100 APt= 0.936 x 100 APt= 93.6% This means 93.6 of incidence of lung cancer in the population is attributable to smoking. Smokers have a higher risk of developing lung cancer than individuals who do not smoke. 5. What is the attributable proportion among the exposed (APe)? APe APe= ( ( RR 1 ) RR ) x 100 APe= ( ( 15.73 1 ) 15 ) x 100 APe= ( ( 14.73 ) 15,73 ) x 100 APe= 93.6 %
Part 2 You are a researcher who is interested in the association of heavy drinking and dying at an early age. Describe how you and your team would conduct a study. In your response be sure to address the following: Study Type The study my team and I would use to research the association of heavy drinking and dying at an early age would be a cohort study. The use of a cohort study would allow my team and I to get a better understanding of the risk factors, such as heavy drinking, that increase a person's chances of getting a particular disease or death. The average age of death in the United States is 75. For the study our population of interest would be individuals who have died prematurely at ages 74- younger. Our sample will consist of individuals of all ages, sex, and races who have died prematurely. There will be a randomized mix of individuals in the sample who drank alcohol and did not drink alcohol. Variables The outcome variable of interest in the study would be whether or not an individual died early if they were reported as being heavy drinkers or not. This outcome variable will be measured using Phosphatidyl Ethanol (PEth) test, Liver Functioning Test, and Blood Alcohol Testing (BAC) at the time of death. These measurement tools will allow us to see if the induvial had recently heavily consumed alcohol before or at the time of death, or there was evidence of effects of heavy alcohol usage on the body and its systems.
The key variables that we will study are the age, sex, race of individuals, if they had been drinkers. We will define these variables by the following: Age- the age at the time of death and age at the start of alcohol use will be reported. Sex- Reported sex given at birth. Race- Racial/ethnicity background. Cultural- In some cultures drinking alcohol is more acceptable than in others which may result in being introduced to alcohol consumption at an early age. Whether or not the individual was a drinker- This information could be found in medical records or through interviews with close family and friends. The confounding variables may be other types of substances that may be used in addition to alcohol and lifestyle choices, such as diet, which when combined with heavy alcohol consumption may also lead to early death. Data Collection, Bias, and Limitations Our approach to data collection will be through the use of medical records, autopsy results, and interviews of the deceased family and friends. Some of the limitations of these types of data collection may include sample size limitations which would affect the accuracy of our results. A small sample size may not be enough to use as a representation of the population, which would lead to a lack of confidence in our conclusions. There may also be limitation in obtaining autopsy results or biases against coroners and data collectors. If we interview families
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and peers of deceased individuals to see if they were heavy drinkers, we may not get accurate and reliable information. We may also be faced with some biases in the study as well that we will do our best to avoid. Some sources of potential bias in our study may include underreported data analysis which may lead to information bias. Another source of potential bias may be selection bias within the sample group. We can avoid biases by random sampling which would include a variety of subgroups that share equal opportunities, include clear definitions of cases and how they will be measured, increasing randomization etc.
References CDC. “FastStats - Life Expectancy.” Centers for Disease Control and Prevention , 7 Feb. 2023, www.cdc.gov/nchs/fastats/life-expectancy.htm.