Difference between revisions of "Measuring risk"

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==Cohort studies measuring risk (incidence proportion)==
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Cohort studies that measure risk compare occurrence of disease between exposed and unexposed cohorts. The risk (incidence proportion) of disease in those exposed (IPe) and unexposed (IPu) can be computed as follows:
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[[File:8625.Page2 formula1 Ipe a.gif-550x0.png|800px|frameless|left]]<br>
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<br>
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In the above example IPe = Ce/Ne
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[[File:6740.Page2 formula2 Ipu a.gif-550x0.png|800px|frameless|left]]<br>
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<br>
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In the above example IPu = Cu/Nu
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The absolute effect of exposure on disease occurrence is the risk difference (RD) between the exposed and unexposed cohorts.
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[[File:1385.Page3 formula1 RD.gif-550x0.png|800px|frameless|left]]<br>
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<br>
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The relative effect of the exposure on disease occurrence can be expressed as the risk difference between exposed an unexposed, divided by (relative to) the risk in unexposed.
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[[File:7522.pagina3 functie2 relative effectv2.gif-550x0.png|800px|frameless|left]]<br>
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<br>
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Where RR is the risk ratio defined as:
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[[File:8738.Page3 formula3 RR.gif-550x0.png|800px|frameless|left]]
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==Example==
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Cases of gastroenteritis according to consumption of food X, nursing home A
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{| class="wikitable" style="text-align:right; vertical-align:bottom;"
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|-
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!
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!
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!
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!
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!
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!
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|-
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| Consumption  of food X
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| Population at risk
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| Cases
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| IP
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| Risk  Ratio
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| Relative effect
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|-
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| Yes
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| 150
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| 60
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| 0.4
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| 4
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| 3
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|-
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| No
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| 100
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| 10
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| 0.1
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|
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|
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|}
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One can express the result by saying that the relative effect of consuming food X is 3 which would suggest a 300% increased risk of gastroenteritis among exposed. One can also express the results by saying that the risk of disease is 4 times higher in the exposed cohort than in the unexposed cohort.
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Thus the relative effect is the risk ratio minus 1. Since the relative effect is RR - 1, epidemiologists frequently refer to RR as a measure of relative effect without subtracting 1. The term "relative risk" is very popular among epidemiologists even if, as mentioned above, it is not a measure of relative effect but rather a risk ratio.  When using the relative risk that way we have to remember that a value of 1 corresponds to an absence of effect.
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==FEM PAGE CONTRIBUTORS 2007==
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;Editor
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:Masja Straetemans
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;Original Authors
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:Alain Moren
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:Jean Claude Desenclos
 +
:Marta Valenciano
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:Arnold Bosman
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;Contributors
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:Lisa Lazareck
 +
:Masja Straetemans
  
  
 
[[Category:Cohort studies]]
 
[[Category:Cohort studies]]

Latest revision as of 20:55, 30 March 2023

Cohort studies measuring risk (incidence proportion)

Cohort studies that measure risk compare occurrence of disease between exposed and unexposed cohorts. The risk (incidence proportion) of disease in those exposed (IPe) and unexposed (IPu) can be computed as follows:

8625.Page2 formula1 Ipe a.gif-550x0.png




In the above example IPe = Ce/Ne

6740.Page2 formula2 Ipu a.gif-550x0.png




In the above example IPu = Cu/Nu

The absolute effect of exposure on disease occurrence is the risk difference (RD) between the exposed and unexposed cohorts.

1385.Page3 formula1 RD.gif-550x0.png




The relative effect of the exposure on disease occurrence can be expressed as the risk difference between exposed an unexposed, divided by (relative to) the risk in unexposed.

7522.pagina3 functie2 relative effectv2.gif-550x0.png




Where RR is the risk ratio defined as:

8738.Page3 formula3 RR.gif-550x0.png

Example

Cases of gastroenteritis according to consumption of food X, nursing home A

Consumption of food X Population at risk Cases IP Risk Ratio Relative effect
Yes 150 60 0.4 4 3
No 100 10 0.1

One can express the result by saying that the relative effect of consuming food X is 3 which would suggest a 300% increased risk of gastroenteritis among exposed. One can also express the results by saying that the risk of disease is 4 times higher in the exposed cohort than in the unexposed cohort.

Thus the relative effect is the risk ratio minus 1. Since the relative effect is RR - 1, epidemiologists frequently refer to RR as a measure of relative effect without subtracting 1. The term "relative risk" is very popular among epidemiologists even if, as mentioned above, it is not a measure of relative effect but rather a risk ratio. When using the relative risk that way we have to remember that a value of 1 corresponds to an absence of effect.

FEM PAGE CONTRIBUTORS 2007

Editor
Masja Straetemans
Original Authors
Alain Moren
Jean Claude Desenclos
Marta Valenciano
Arnold Bosman
Contributors
Lisa Lazareck
Masja Straetemans
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