Question
The following table of male suicide in the Sydney metropolitan area, stratified by quintile of socio-economic status (SES). (Only the lowest and highest SES groups
The following table of male suicide in the Sydney metropolitan area, stratified by quintile of socio-economic status (SES). (Only the lowest and highest SES groups are shown). Note: 5 years of death data are presented. Population data comes from a single census year (2011). It is conventional to present mortality rates as annual average rates.
Lowest SES quintile, Suicides | Lowest SES quintile, Population | Highest SES quintile, Suicides | Highest SES quintile, Population | Total suicide (All quintiles) | Total population (All quintiles) | |
2009-2013 | 2011 | 2009-2013 | 2011 | 2009-2013 | 2011 | |
Males | ||||||
15-24 | 195 | 123,961 | 116 | 140,942 | 779 | 667,548 |
25-34 | 242 | 134,303 | 158 | 134,595 | 1,044 | 693,988 |
35-44 | 204 | 133,242 | 123 | 135,819 | 865 | 688,839 |
45-54 | 147 | 110,680 | 92 | 124,576 | 594 | 577,128 |
55-64 | 89 | 83,943 | 55 | 75,308 | 364 | 381,248 |
65-74 | 76 | 73,509 | 42 | 56,097 | 283 | 304,226 |
75+ | 56 | 39,197 | 43 | 36,293 | 224 | 172,856 |
1,009 | 698,835 | 629 | 703,630 | 4,153 | 3,485,833 |
(a) Calculate the crude suicide incidence rate (per 100,000) for the lowest SES quintile and the highest SES quintile for those aged ≥15 years and summarize your findings
(b) Calculate the direct age-standardized suicide incidence rate (per 100,000) for the lowest SES quintile using the highest SES quintile as the standard.
(c) Do you think that age structure is an important factor in explaining the differences in suicide between low and high SES groups? Using the age-specific data you calculated, make a specific comment about the difference between the crude suicide rate and the direct age-standardized suicide rate.
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