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38

diet, in IQ, systolic blood pressure and chronic kidney disease.

As described above, these health effects were considered in the

opinion of the EFSA CONTAM Panel (EFSA 2010) to be significant

at a population level. Green and Pain (2012) also used the

same approach to evaluate potential effects of consumption

of gamebird meat on SAT scores and in rates of spontaneous

abortion, which were not assigned BMRs by EFSA.

The results indicated the potential for the consumption of 40

- 70 g of gamebird meat per week to be associated with a 1

point decrease in the IQ of children, the BMR identified by EFSA

(2010), with the two values being for Green and Pain’s regression

estimate of bioavailability and the standard bioavailability

values as used in IUEBKwin.

For the present study, we estimated a potential risk of change in

children’s SATs writing tests scores equivalent to the EFSA BMR

for IQ in children (see above) for those that consume 12.7 to 20.4

g of gamebird meals per week. Amounts of game that adults

would need to consume to be at potential risk from an arbitrary

1% increased risk of spontaneous abortion (women), and from

the EFSA BMRs for chronic kidney disease and systolic blood

pressure are presented in Table 2.

Table 2:

Numbers of people in the UK calculated to be at potential risk of incurring threshold health or function effects of ammunition-

derived lead from gamebirds

assuming two values of the bioavailability of lead from ammunition and consistent rates of consumption of

gamebird meals throughout the year.

High bioavailability

Low bioavailability

Health/function

outcome

Critical

response

Age class

Threshold

intake rate

g/week

No.

affected

95% C.L.

Threshold

intake rate

g/week

No.

affected

95% C.L.

IQ

Deficit of 1

IQ point*

Children

< 8 years

40

38126

16704 -

63012

70

28710

12684 -

47846

SATs writing

score

Deficit of

0.04 score

point

Children

< 8 years

12.7

47926

20072 -

79495

20.4

45427

19346 -

75507

Spontaneous

abortion rate

Increase in

risk by 1%

Women

18-45 years

560

10977

5432 -

17157

920

3505

1333 -

6259

Chronic kidney

disease

Model 1

Increase

in risk by

10%*

Adults

> 18 years

240

235898

151954 -

319277

380

112158

64637 -

162612

Chronic kidney

disease

Model 2

Increase

in risk by

10%*

Adults

> 18 years

800

23713

9920 -

40652

1300

6749

2045 -

13965

Systolic blood

pressure

Increase by

1.2 mmHg*

Adults

> 18 years

640

39584

18369 -

64640

1040

12320

4342 -

23273

Critical responses marked * are Bench Mark Responses (BMR) defined by EFSA (2010). Two models for calculating the BMR for kidney disease were used: Model 1 is that

used by EFSA(2010) and Model 2 is that proposed by Green and Pain (2012) to allow for confounding variables.

Rhys E. Green & Deborah J. Pain