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Fundamentals of epidemiology - an evolving text - Are you looking ...

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Incidence <strong>an</strong>d incidence ratios <strong>of</strong> favism (crude)<br />

GPDH deficiency<br />

Present 2.03%<br />

(2,030 cases / 100,000 people)<br />

Absent 0.03%<br />

(2,970 / 9,900,000 people)<br />

Incidence ratio 67.67<br />

Eat fava be<strong>an</strong>s<br />

Yes 0.13%<br />

(2,600 cases / 2,000,000)<br />

No 0.03%<br />

(2,400 / 8,000,000)<br />

Incidence ratio 4.33<br />

So indeed, the scarcer factor (GPDH deficiency) has the greater incidence ratio. If we increase the<br />

prevalence <strong>of</strong> GPDH deficiency without ch<strong>an</strong>ging other parameters, the incidence ratio for fava<br />

be<strong>an</strong> consumption will rise. A spreadsheet is a convenient way to see the effect on incidence ratios<br />

from varying the prevalences (check the web page for a downloadable Excel spreadsheet).<br />

Bottom line – what we observe as strength <strong>of</strong> association is greatly dependent upon prevalence <strong>of</strong><br />

other component causes.<br />

The above example also illustrates the non-additivity <strong>of</strong> the attributable risk proportion<br />

[ARP=(RR-1)/RR]):<br />

67.67 – 1<br />

ARP for GPDH deficiency –––––––––– = 98.5 %<br />

67.67<br />

4.33 – 1<br />

ARP for Fava be<strong>an</strong> consumption –––––––––– = 76.9 %<br />

4.33<br />

Clearly, these ARP's do not sum to 100%, nor, when we think about it, should they.<br />

Before continuing with Rothm<strong>an</strong>'s diagrams, we need to revisit <strong>an</strong> old friend, weighted averages.<br />

_____________________________________________________________________________________________<br />

www.epidemiolog.net, © Victor J. Schoenbach 12. Multicausality: Effect modification - 393<br />

rev. 11/5/2000, 11/9/2000, 5/11/2001

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