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92296 Epidemiology And Population Health
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92296 Epidemiology And Population Health
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Course Code: 92296
University: University Of Technology Sydney
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: Australia
Question:
a) Calculate the crude death rates for Australia and Saudi Arabia. Interpret the rates. b) Calculate the age-specific death rates to complete Tables 1 and 2. Give an example of your working. c) Graph the age-specific death rates for Australia and Saudi Arabia using an appropriate graph. Comment on the graph.
d) Use the data in Table 1 (including the information you have added) and your graph from c) to describe the main features of cancer deaths in Australia in 2012. Include relevant data from the completed table and graph to illustrate the points you make.
Answer:
Crude death rates for Australia
Crude death rates for Saudi Arabia
From the computations, we found the crude death rate for Australia in 2012 to be 187.5312 persons per 100,000 while that for Saudi Arabia was 31.4030 persons per 100,000. It can be observed that the crude death rate in Australia is by far higher than that of Saudi Arabia. Actually it is almost six times more for Australia as compared to Saudi Arabia.
Part b)
Completed tables
Crude and age-specific death rates due to cancer, Australia 2012
Age group
Deaths
Total population
Death rate per 100000 Population
0-14
83
4293707
1.933061571
15-39
618
7986708
7.737856448
40-44
486
1573829
30.88010197
45-49
1017
1574299
64.60018078
50-54
1775
1541187
115.1709689
55-59
2687
1429322
187.9912294
60-64
4090
1304820
313.4531966
65-69
5174
1130258
457.7715884
70-74
5717
871194
656.2258234
75+
21756
1439087
1511.791851
Total
43403
23144411
187.5312
Crude and age-specific death rates due to cancer, Saudi Arabia 2012
Age group (years)
Deaths
Total Population
Death rate per 100,000 population
0-14
543
8,134,561
6.6752
15-39
932
13,600,843
6.8525
40-44
426
2,261,777
18.8347
45-49
540
1,709,816
31.5823
50-54
774
1,200,372
64.4800
55-59
1,084
812,708
133.3812
60-64
1,089
505,266
215.5300
65-69
1,102
328,827
335.1306
70-74
880
239,961
366.7263
75+
1,764
292,226
603.6424
TOTAL
9,134
29,086,357
31.4030
Part c)
From the graph it can clearly be seen that there is an increase in the crude death rate as the age increases and this is true for both the two countries. As can be seen also, there is a sharp increase in the rate especially when the age goes to 75 years of age.
Part d)
Main features of the graph and the table are;
Both the two countries present similar trends in terms of the crude death rate as a result of cancer. However, Crude death rate is much higher in Australia as compared to Saudi Arabia
There is very low crude death rate due to cancer for persons aged 0-14 and 15-39. This is true for both the two countries
An all high rate is observed for persons aged 75+ for both the countries. This means crude death rate as a result of cancer is quite high among the aged persons.
Australia has close to six times more deaths as a result of cancer as compared to Saudi Arabia.
Par a)
The formula for the direct ae-standardized death rate is given as follows;
Where
Calculation of age-standardized death rate due to Cancer for Australia in 2012
Age Group (years)
CDR due to Cancer (Australia) ()
World Standard Population ()
0-14
1.9331
261,409
505,319.69
15-39
7.7379
393,661
3,046,092.31
40-44
30.8801
65,877
2,034,288.48
45-49
64.6002
60,379
3,900,494.32
50-54
115.1710
53,681
6,182,492.78
55-59
187.9912
45,484
8,550,593.08
60-64
313.4532
37,187
11,656,384.02
65-69
457.7716
29,590
13,545,461.30
70-74
656.2258
22,092
14,497,340.89
75+
1511.7919
30,640
46,321,302.33
Total
187.5312
1,000,000
110,239,769.19
Directly Age-Standardized Death Rate due to Cancer for Australia in 2012,
Therefore the age-standardized death rate as a result of cancer for Australia in 2012 is 110.240 per persons 100,000 population.
Calculation of age-standardized death rate due to Cancer for Saudi Arabia in 2012
Age Group (years)
CDR due to Cancer (Australia) ()
World Standard Population ()
0-14
6.6752
261,409
1,744,963.09
15-39
6.8525
393,661
2,697,568.47
40-44
18.8347
65,877
1,240,776.70
45-49
31.5823
60,379
1,906,910.45
50-54
64.4800
53,681
3,461,351.48
55-59
133.3812
45,484
6,066,712.28
60-64
215.5300
37,187
8,014,915.51
65-69
335.1306
29,590
9,916,515.37
70-74
366.7263
22,092
8,101,716.53
75+
603.6424
30,640
18,495,602.72
Total
31.4030
1,000,000
61,647,032.59
Directly Age-Standardized Death Rate due to Cancer for Saudi Arabia in 2012,
Therefore the age-standardized death rate as a result of cancer for Saudi Arabia in 2012 is 61.647 persons per 100,000 population.
Part b)
The following findings were noted in the calculations;
We observed that the CDR for Australia was 187.5312 per 100,000 persons while that of Saudi Arabia was 31.4030 per 100,000 persons.
The directly age-standardized death rate for Australia was found to be 110.240 per 100,000 persons while that of Saudi Arabia was 61.647 per 100,000 persons.
Discussion
The CDR for Australia was by far higher than the Age-Standardized death rate. A drastic reduction was noted which however was not the case for Saudi Arabia. The Saudi Arabian case is different in the sense that the CDR is less than the Age-Standardized death rate. This means that risk of deaths as a result of cancer are minimized in Australia when Age-Standardized death rate is applied but the risk is kind of doubled for Saudi Arabian case
The 15-39 age category has the biggest populace in both the nations. However, the populace in the age 15-39 age category has varieties in both the nations. As the populace for age aggregate over 15-39 in Australia is equitably distributed with the exception of age group 70-74, the same can’t be said valid for Saudi Arabia. The populace for age category over 15-39 for Saudi Arabia begins to go down. It is because of this that CDR can’t feature the exact risk of death when looking at both the nations. Likewise, the standard populace has a more youthful populace and the demise rate is considerably higher in senior age groups.
Question 2
1.
Calculation of Risk Ratio
Incidence Proportion in Low Birthweight
Incidence Proportion in Normal Birthweight
From the above, we can observe that the risk ratio is 18.9593 times
2.
The absolute difference in incidence of infant mortality by birthweight category is calculated as given below;
Absolute difference of infant mortality by birthweight,
Thus there is a 11.225% likelihood of infant mortality at low birthweight as compared to the normal birthweight.
3.
Calculation of the proportion of deaths among low birthweight infants that would have not occurred in the absence of low birthweight
Attributable Fraction is calculated by the following formula,
This means that there is a 94.73% likelihood of infant mortality to arise from low birthweight..
The overall incidence of infant mortality is calculated as under:
The overall incidence of infant mortality is thus 0.014299 per birth (or 1429.9 per 100,000 births).
Calculation of incidence if there were no low birthweight births,
The overall incidence of infant mortality for the normal births is thus 0.006250 per birth (or 625 per 100,000 births).
Calculation of Population Attributable Risk
This implies that 804.9 infant mortality of the 1429.9 infant mortality per 100,000 births were attributed to low birthweights. This also means that 804.9 of the deaths in infants among the 1429.9 per 100,000 births can be prevented if they are normal birthweights.
Population Attributable Fraction,
Therefore the calculated Population Attributable Risk Fraction is 56.29%. This value implies that 56.29% of Infant Mortality can be attached to low birthweight. Also, the 56.29% of infant mortality can be prevented if the birth can be normal birthweight.
Question 3
The table 5 can be labelled as:
Smoking
HPV Status
Total
Positive
Negative
Yes
42 (a)
90 (b)
132 (a+b)
No
146 (c)
481 (d)
627 (c+d)
Total
188
571
759
Risk Ratio between smoking and HPV status,
The Risk Ratio between smoking and HPV status is 1.3664.
This means that the smokers are 1.3664 times more likely to develop HPV as compared to non-smokers..
The table 6 can be labelled as:
<2 lifetime sexual partners
Smoking
HPV Status
Total
Positive
Negative
Yes
31 (a)
124 (b)
155 (a+b)
No
78 (c)
437 (d)
515 (c+d)
Total
109
561
670
Risk Ratio between Smoking and HPV Status having <2 lifetime partners
Therefore, smokers who have <2 lifetime sexual partners are 1.3205 times more likely to develop HPV as compared to non-smokers who have <2 lifetime sexual partners.
≥2 lifetime sexual partners
Smoking
HPV Status
Total
Positive
Negative
Yes
11 (a)
22 (b)
33 (a+b)
No
12 (c)
44 (d)
56 (c+d)
Total
23
66
89
Risk Ratio between Smoking and HPV Status having ≥2 lifetime partners
Therefore, smokers who have ≥2 lifetime sexual partners are 1.5556 times more likely to develop HPV as compared to the non-smokers who have ≥2 lifetime sexual partners.
The number of lifetime sexual partner is an effect modifier since as can be seen, the risk ratio between Smoking and HPV Status having ≥2 lifetime partners is greater (Risk ratio = 1.56) than the risk ratio between Smoking and HPV Status having <2 lifetime partners (Risk ration = 1.32). This means that the more the number of lifetime sexual partners the higher the risk of developing HPV among the smokers.
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