Homework 4
pdf
keyboard_arrow_up
School
California State University, Long Beach *
*We aren’t endorsed by this school
Course
101
Subject
Industrial Engineering
Date
Dec 6, 2023
Type
Pages
4
Uploaded by DoctorFangPenguin11
FMPH 101 Homework 4
Winter 2023
Name:
Valerie Chavez
Homework #4: Cohort Studies
Assignment due by Thursday 02/16/23 via Gradescope. For calculations show all work involved.
Submit answers within this document and do not submit reformatted assignments with just the
answers. Please select corresponding pages for answers in Gradescope when submitting
assignment.
Question 1
Please indicate within in the table below whether the statements are true or false.
Answers:
A. Incidence rates cannot be estimated from a retrospective cohort study
False
B. Prospective cohort studies are good for studying rare exposures
True
C.
Multiple diseases can be studied in a cohort study.
True
D. Temporality can only be established in prospective cohort study
True
Question 2
Researchers conducted a prospective cohort study to investigate whether the use of oral
contraceptives increases a woman’s risk of stroke.
3500 women between the ages of 18 and 35
with no history of stroke were asked about their oral contraceptive (OC) use in January 2016.
1607 women reported current OC use and 1893 did not. At the end of the 3-year follow-up
period, 249 of the OC users and 201 of the OC non-users had suffered from a stroke.
Stroke
No Stroke
Total
OC use
249
1607
1358
No OC use
1692
1893
201
Total
450
3050
3500
A. Based on the information provided above, please fill-in the 2x2 table above.
B. What was the cumulative incidence of stroke over the 3-year period for the entire cohort?
Show all of your work and round your final answer to 2 decimal points.
Cumulative incidence of stroke for entire cohort:
(249+201) / 3500-> 450 / 3500= 0.13 or 13%
C. What was the cumulative incidence (risk) of stroke over the 3-year period among OC users?
Show all of your work and round your final answer to 2 decimal points.
Cumulative incidence of stroke for OC users:
249 / 1607= 0.15 or 15%
FMPH 101 Homework 4
Winter 2023
D. What was the cumulative incidence (risk) of stroke over the 3-year period among OC non-
users? Show all of your work and round your final answer to 2 decimal points.
Cumulative incidence of stroke for OC non-users:
201 / 1893= 0.11 or 11%
E. Calculate the risk ratio (relative risk) for stroke comparing OC users to OC non-users. Show
all your work and round your final answer to 2 decimal points.
Risk ration for stroke comparing OC users to OC non-users:
0.15 / 0.11= 1.36
F.
Interpret the risk ratio (relative risk) calculated in (e) above.
The risk ratio (relative risk) is 1.36 which means that women who use OC are 1.36 times
more likely to experience a stroke compared to women who do not use OC.
G. Based on the risk ratio (relative risk) you calculated in (e) above, is OC use potentially
harmful or potentially protective?
Please explain your answer.
Based on the risk ratio (relative risk) OC use is potentially harm because we see from the
data that those who take OC are 1.36 times more likely to get a stroke.
H. Suppose some women were lost to follow-up during the 3-year study period. Calculate the
incidence rate for stroke among OC users and OC non-users assuming OC users were
observed and at risk for 21,311 person-months and OC non-users were observed and at
risk for 30,251 person-months. Show all your work for each calculation. Express your final
answers per 1,000 person-months and round your final answers to 1 decimal points.
Incidence rate of stroke for OC users:
249 / 21311= 0.117 or 1.2 per 1000 person-months
Incidence rate of stroke for OC non-users:
201 / 30251= 0.0066 or 0.7 per 1000 person-months
I.
Calculate the rate ratio for stroke comparing OC users to OC non-users. Show all your work
and round your final answer to 2 decimal points.
Rate ration for stroke comparing OC users to OC non-users:
0.117 / 0.0066= 17.73 or 1.2 / 0.7= 1.7 per 1000 person-months
J.
Interpret the rate ratio calculated in (i) above.
The rate ratio of 1.7 per 1000 person-months means that women who use OC are 1.7 times
more likely to experience a stroke compared to women who do not use OC.
Question 3
BACKGROUND
It has been suggested that vaccination against measles, mumps, and rubella (MMR) is a cause
of autism.
METHODS
In 2005, we conducted a
cohort study of all children born in Denmark from January
1991 through December 1998. The cohort was selected on the basis of data from the Danish
Civil Registration System, which assigns a unique identification number to every live-born infant
and new resident in Denmark. MMR-vaccination status was obtained from the Danish National
Board of Health. Information on these same children's autism status was obtained from the
Danish Psychiatric Central Register, which contains information on all diagnoses received by
patients in psychiatric hospitals and outpatient clinics in Denmark. We obtained information on
potential confounders from the Danish Medical Birth Registry, the National Hospital Registry,
FMPH 101 Homework 4
Winter 2023
and Statistics Denmark.
RESULTS
Of the 537,303 children in the cohort (representing 2,129,864 person-years), 440,655 (82.0
percent) had received the MMR vaccine. We identified 316 children with a diagnosis of autistic
disorder and 422 with a diagnosis of other autistic-spectrum disorders. After adjustment for
potential confounders, the relative risk of autistic disorder in the group of vaccinated children, as
compared with the unvaccinated group, was 0.92, and the relative risk of another autistic-
spectrum disorder was 0.83.
A. What kind of cohort study is this, prospective or retrospective?
This is a retrospective cohort study
B. What are two benefits of this type of cohort study versus the other? (Would give full credit if
answers make sense. They don’t need to be specifically these two.)
Two benefits of this type of cohort study is that it has the ability to study rate outcomes and
exposures, and that it also has the ability to establish temporal relationships between
exposures and outcomes.
C. Were children already classified as developing the outcome (Autism) prior to investigators
starting this study?
The children were not classified as developing the outcome (Autism) prior to the start of this
study. The investigators got the information on autism status from the Danish Psychiatric
Central Register after the study was begun.
D. Were children already exposed (vaccinated) prior to investigators starting this study?
Yes they were already vaccinated prior to investigators starting the study as they were able
to obtain information on MMR vaccination status from the Danish National Board of Health
for children who were vaccinated before the study had started.
E.
Do the study results provide evidence that vaccination was a risk factor for autism?
The study does not provide evidence that vaccination was a risk factor for autism. The risks
for autism was below for the vaccinated group meaning a lower risk compared to those
unvaccinated.
Question 4
The table shows whether a person survived a snakebite or not depending on whether they were
administered antivenom.
Death from a
snakebite
Survived a
snakebite
Total
No Antivenom (
exposed
)
185
221
406
Antivenom administered
(
unexposed
)
92
365
457
A. Calculate the incidence of death attributable to not having antivenom (attributable risk).
Round answer to three decimal places.
Formula: (Incidence in those without antivenom)
–
(incidence in those with antivenom)
185 / 406 x 100= 45.567%
92 / 457 x 100= 20.131%
Incidence of attributable to not having antivenom= 45.567 - 20.131= 25.436%
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
FMPH 101 Homework 4
Winter 2023
Incidence of death attributable to not having antivenom= .254
B. In every 1000 snake bites, how many deaths are prevented by administering Antivenom?
As 25.436% of deaths that happen are due to not having antivenom, then in every 1000
snake bites the number of deaths prevented is: 1000 x 0.25436= 254.36= 254
C. Calculate the percent of incidence of death attributable to not having antivenom (attributable
risk percent)
Attributable risk= (185/406)-(92/457) / (185/406) x100=
0.456-0.201 / 0.456-> 0.255 / 0.456= 0.559 x 100= 55.9%
D. Explain what the answer calculated for 4C means. (2 sentences or less)
The attributable risk is the rate of a health outcome in exposed individuals which can be
caused by exposure. The incidence of deaths attributable to not having the antivenom from
the snake bite is 55.9%.
Question 5
The table below presents hypothetical data on the mortality due to pancreatic cancer among
individuals classified as excessive alcohol consumers and individuals classified as non-alcohol
consumers, as well as the total population.
Deaths per 100,000 standard population
Excessive
alcohol
consumers
Non-excessive or
no alcohol
consumers
Total Population
Pancreatic cancer deaths
4.93
1.44
2.90
A. How much of pancreatic cancer mortality among those who consume excessive alcohol
is due to their alcohol abuse?
Show your work (including formula used), round your
answer to 2 decimal places, and express your answer per 1,000 person-years.
Attributable fraction= (rate of disease among exposed
–
rate of disease among
unexposed)/ rate of disease among exposed population
AF= (4.93
–
1.44) / 4.93 = 0.71% per person-years
B. How much of all cancer deaths in the total population is due to excessive alcohol
consumption?
Show your work (including formula used), round your answer to 2
decimal places, and express your answer per 1,000 person-years.
Attributable fraction x total number of pancreatic cancer deaths in total population
Proportions of deaths due to excessive alcohol consumption= 0.71 x 2.90= 2.05
C. If excess alcohol consumption were eliminated, what proportion of the incidence
pancreatic cancer in the total population would be prevented?
Show your work
(including formula used) and round your answer to 1 decimal place.
71% of pancreatic cancer cases in the excessive alcohol consumers can be attributed to
their excessive consumption, because we could not calculate the complete incidence
due to not having the total number of person-years. This means we cannot calculate this
proportion.