2
1
1
0
2
0
-1
0
Time
Dynamic simulation periods are specified in Time's definition. This is usually a list of numbers or labels, typically in some unit of time (days, weeks, months, etc.). Use the ÒDynamic()Ó function in your variables to perform dynamic simulation.
[0,1,2]
Risk-benefit assessment of fish dioxins (PCDD/Fs) and an aggregate of nutritional benefits: childhood risks and benefits as compared to average adults.
Introduction to the model:
Our food choices are commonly known to have a crucial role on the overall psychosomatic wellbeing in various phases of life. Not in the slightest, the nutritional state of bearing mothers has a crucial bearing on the forthcoming health of an individual. Fish, as clearly being a beneficial food, is an excellent source of many nutrients such as vitamin D, polyunsaturated n-3 fatty acids and selenium to mention a few. However, even healthy food can pose risks. Fish, especially the top predators via their habitat in aquatic ecosystems, are susceptible to biomagnification of lipophilic and persistent environmental contaminants such as polychlorinated dibenzodioxins (PCDDs) and dibenzofurans (PCDFs), polychlorinated biphenyls (PCBs) and methyl mercury (Met-Hg). Since there are hardly a place in the world with no detectable environmental contamination, the exposure risk for human through fish consumption is predominant.
A future challenge in environmental health risk assessment will be how to effectively incorporate the multitude of consequences of environmental issues and hazards related to children's health into forthcoming practices in risk assessment and management. To touch on this delicate issue from the food-borne risks' point of view, a detailed risk-benefit analysis by means of uncertainty-incorporated probability distributions on the role of fish in the diet of adults as compared to children of a Finnish average population is presented in this model.
This model focuses on risks of PCDD/Fs and nutritional benefits of fish consumption on childhood and adult health. Potential health indicator risk endpoints are neurodevelopmental defects and cardiovascular , brain function and mental health for children and adults, respectively. As broad health indicator beneficial endpoints as reasonable will be incorporated into the model. The most potential ones include n-3 PUFAs, vitamin D and ___. Noteworthy, the model also aims to evaluate both the prenatal and lactation-related risks and benefits of fish consumption. MALLIN KUNNIANHIMOINEN (laaja-alainen) FOCUS VAATII VIEL PALJON TSMENNYST YLIMALKAAN ONNISTUAKSEEN KYTNN
SS.
Also an attemp to evaluate useful elements and limitations associated with the application of this risk-benefit model as well as their implications to societal decision-making and risk management on human health issues will be made.
Anna Karjalainen, Jouni Tuomisto, Olli Leino, Marjo Niittynen
4. Septa 2007 11:58
akau
5. Novta 2007 12:07
48,24
1,0,-23,1024,665,17
2,0,-23,1024,665
Arial, 15
0,Model Rba_fish_diox_child,2,2,0,1,C:\DATA\Beneris\Models\Fish case study\Valikaavio RBA Fish PCDDs A vs. C_25102007_ak_XML.ANA
Exposure to PCDD/Fs
akau
11. Octta 2007 12:23
48,24
304,232,1
48,24
1,1,1,1,1,1,1,,0,
1,0,-23,1024,665,17
58982,58982,58982
Arial, 13
Exposure of general population to PCDD/Fs
FunctionOf(Pcdd_f_concn__in_dom; Expr; Expr;)
480,176,1
48,40
[Chance Pcddf_abs_eff]
[Variable Total_cancer_risk]
Exposure of pregnant women to PCDD/Fs
FunctionOf(Pcdd_f_concn__in_dom; Expr; Expr)
352,176,1
48,40
2,0,-23,1025,666
[Chance Pcddf_abs_eff]
[Constant Mother_s_pcdd_f_body]
Prenatal exposure to PCDD/F
FunctionOf(Expr; Pcdd_f_concn__in_dom; Expr; Exposure_of_pregnant)
448,88,1
48,31
[Constant Placenta_pcdd_f_conc, Variable Developmental_defect]
Suckling exposure to PCDD/Fs
FunctionOf(Expr; Expr; Pcdd_f_concn__in_dom; Exposure_of_pregnant)
352,40,1
48,32
[Constant Placenta_pcdd_f_conc, Constant Mother_s_pcdd_f_body, Variable Developmental_defect]
Placenta PCDD/F concn. correspond with the concn. in breast milk
168,88,1
68,44
2,0,-23,1025,666
[Variable Prenatal_exposure_to, Variable Suckling_exposure_to]
Abraham et al. (1998) in Kiviranta H. 2005. Exposure and human PCDD/F and PCB body burden in Finland. Academic dissertation, publications of the National public health Institute, 14/2005.
Mother's PCDD/F body burden depletion in pregnancy and while lactating
Approximately 20-30 % reduction in mother's PCDD/F body burden due to pregnancy and suckling is generally observed. This means that generally the second child is exposed to PCDD/Fs both during pregnancy and through lactation 20-30 % less than the first child. Obviously some case-specific variation seen, which is dependent on sisters age diffrences. In principal, mother's body burden depletion in her third-n pregnancies and breast feeding periods should be also 20-30 %, but is this certified as a correct assumption?
Mother's age affects considerable: the older the mother, the higher PCDD/F body burden she has gained during her lifespan.
Feeding habits affect considerably: the morre she has eaten PCDD/F containing products (especially fish in Finland) during her lifespan, the higher body burden she has.
192,176,1
96,40
2,0,-23,1025,666
[Variable Exposure_of_pregnant, Variable Suckling_exposure_to]
PCDD/F absorption efficiences
proportion
Absorption effeciences describe the the percentual assimilation or accumulation of the total amount taken in from fish eaten as proportions.
According to the reference below they are in the order of:
- 76-99% for TCDDs
- 87-99% for TCDFs
408,272,1
56,32
2,0,-23,1024,665
19661,65535,65535
[Variable Exposure_of_general_, Variable Exposure_of_pregnant]
<a href="C:\DATA\Julkaisut\RBA Fish adults children julkaisut\Maruyma et al_2003_Chemosphere_Dioxin accumulation human tissues.pdf">Maruyama W. et al. 2003</a>
Maruyama W. et al. 2003. Simulation of dioxin accumulation in human tissues and analysis or reproductive risk. Chemosphere 53:301-313.
Fish consumption
akau
11. Octta 2007 12:23
48,24
136,72,1
56,24
1,1,1,1,1,1,1,,0,
1,1,0,448,245,17
Arial, 13
Domestic fish consumption of a general population
g/d of fish users
Table(Fish_species,Gender,Age_categories)(
Normal(5.717,5.897),Normal(11.548,12.958),Normal(29.611,39.023),
Normal(6.788,6.346),Normal(15.972,21.473),Normal(20.536,30.159),
Normal(0,0),Normal(3.333,2.47),Normal(19.843,15.217),
Normal(7.207,0),Normal(0,0),Normal(9.763,3.426),
Normal(7.858,7.6),Normal(8.884,10.204),Normal(37.081,49.405),
Normal(5.648,6.936),Normal(16.538,30.262),Normal(21.172,29.705),
Normal(10.053,8.227),Normal(19.395,23.573),Normal(52.569,64.867),
Normal(5.053,6.58),Normal(16.194,22.257),Normal(39.032,41.008),
Normal(3.636,2.402),Normal(3.684,3.106),Normal(26.13,32.603),
Normal(5.739,5.807),Normal(3.851,5.269),Normal(15.734,29.015),
Normal(9.686,7.075),Normal(17.59,14.058),Normal(66.308,48.587),
Normal(10.563,8.727),Normal(15.535,12.569),Normal(54.363,38.957),
Normal(0.663,1.339),Normal(4.328,4.142),Normal(19.94,26.408),
Normal(4.192,3.572),Normal(2.798,2.573),Normal(23.126,20.591),
Normal(5.807,3.15),Normal(14.644,29.199),Normal(20.305,31.374),
Normal(8.261,7.212),Normal(11.138,20.768),Normal(13.662,14.218),
Normal(10.09,7.458),Normal(16.479,14.435),Normal(54.505,32.059),
Normal(10.879,7.759),Normal(14.857,9.581),Normal(36.367,22.92),
Normal(13.82,14.23),Normal(18.79,19.343),Normal(24.946,19.845),
Normal(9.417,7.764),Normal(16.831,11.136),Normal(27.182,18.09),
Normal(18.647,18.83),Normal(22.52,17.775),'Normal(0.000)',
Normal(12.243,10.803),Normal(30.713,25.616),'Normal(0.000)',
Normal(7.981,6.591),Normal(7.733,8.539),Normal(47.431,39.261),
Normal(3.409,3.52),Normal(6.408,5.676),Normal(31.18,24.581)
)
160,248,1
72,36
1,1,1,1,1,1,1,,0,
2,0,-23,1024,667
2,0,-23,1024,667,0,MIDM
2,0,-23,1024,667,0,MIDM
65535,52427,65534
Arial, 13
[Age_categories,Fish_species]
[Age_categories,Fish_species]
<a href="N:\YTOS\Projects\BENERIS\WP2\Datat pyydetyssa muodossa\Beneris_Food consumption_FINLAND_290307_th_ak.xls">Fineli database on fish nutrient contents</a>
Domestic fish consumption of pregnant women
Table(Fish_species)(
Normal(3.539,4.046),Normal(0.0988,0.1122),Normal(0.9498,1.512),Normal(5.589,5.162),Normal(1.526,3.585),Normal(8.691,9.747),Normal(2.31,1.904),Normal(0.5699,1.161),Normal(7.822,6.761),Normal(1.636,1.713),Normal(0,0),Normal(6.192,7.883))
160,168,1
72,36
1,1,1,1,1,1,1,,0,
2,0,-23,1024,667
2,0,-23,1024,667,0,MIDM
2,0,-23,1024,667,0,MIDM
65535,52427,65534
Arial, 13
Fish species
['Baltic herring (Clupea harengus membras)','Herring (Clupea harengus)','Vendace (Coregonus albula)','Whitefish (Coregonus lavaretus)','Pike (Esox lucius)','Rainbow trout (Onchorhynchus mykiss)','Shrimp (Pandalus sp.)','Perch (Perca fluviatilis)','Saithe (Pollachius virens)','Atlantic salmon (Salmo salar)','Pike-perch (Sander lucioperca)','Tuna (Thunnus thynnus)']
256,312,1
56,12
1,1,1,1,1,1,1,,0,
2,0,-23,1025,666
Arial, 13
Gender
men or women
['men','women']
344,328,1
36,12
1,1,1,1,1,1,1,,0,
2,0,-23,1025,666
Arial, 13
Age categories
year
Class 0_2 describes exposure from pregnancy and lactatation to the age of 2 years.
Class 2_18 describes exposure during childhood and puberty.
Class 18_55 describes exposure during adulthood.
['0_2','2_18','18_55']
248,344,1
56,12
1,1,1,1,1,1,1,,0,
2,0,-23,1025,666
Arial, 13
PCDD/F concn. in domestic fish
FunctionOf(Expr; Expr)
136,232,1
56,24
1,1,1,1,1,1,1,,0,
Arial, 13
Net health effects in adults
Age group of adults= 18-55 years
FunctionOf(Expr; Expr; Expr)
680,240,1
60,24
1,1,1,1,1,1,1,,0,
2,0,-23,1025,666
Arial, 13
[Text Te4, Variable Total_cancer_risk, Variable Omega_3_fatty_acid_p]
Net health effects in prenatal period and early childhood
Prenatal period and early childhood=age group 0-2 years.
FunctionOf(Expr; Expr; Expr; Expr; Expr; Expr; Expr; Expr)
680,80,1
72,29
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Developmental_defect, Variable Omega_3_fatty_acid_b]
Intake of omega-3 (and other beneficial nutrients)
akau
11. Octta 2007 12:23
48,24
304,104,1
72,32
1,1,1,1,1,1,1,,0,
1,1,0,448,245,17
Arial, 13
Omega-3 intake by pregnant women
mg/d
Omega_3_fatty_acid_c*Domestic_fish_consu
112,104,1
48,38
1,1,1,1,1,1,1,,0,
2,0,-23,1024,667
2,0,-23,1024,667,1,PDFP
Arial, 13
[0, 0, 0, 0 ]
Prenatal intake of omega-3 fatty acids
mg/d
Periaatteessa 1:1, mutta tm pit tarkentaa kirjallisuudesta.
Omega_3_intake_by_pr*1
256,104,1
64,28
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Omega_3_fatty_acid_b]
Suckling intake of omega-3 fatty acids
Periaatteessa 1:1, mutta tm pit tarkentaa kirjallisuudesta.
Omega_3_intake_by_pr*1
256,176,1
60,28
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Omega_3_fatty_acid_b]
Omega-3 intake in an average population
mg/d
Omega-3 intake in an average population from the documented fish consumption
Omega_3_fatty_acid_c*Domestic_fish_consu1
112,192,1
48,38
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Omega_3_fatty_acid_p]
Nutrient intakes
mass unit/day
['Omega-3 fatty acids, mg/d','Vitamin D, ug/d','Vitamin E, mg/d','Selenium,ug/d','Iodine, ug/d','Group B vitamins, mg/d']
136,344,1
56,12
1,1,1,1,1,1,1,,0,
2,409,32,476,224
Arial, 13
Early lifetime vs. adulthood risks and benefits of fish consumption
Net_health_effects_i; Net_health_effects_2; Net_health_effects_1
864,160,1
76,38
1,1,1,1,1,1,1,,0,
Arial, 13
Net health effects in childhood and puberty
Childhood period and puberty= age group of 2-18 years.
FunctionOf(Expr; Expr; Expr; Expr)
680,168,1
64,29
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Developmental_defect, Variable Omega_3_fatty_acid_b]
Source information
136,176,-8
80,164
1,0,0,1,0,1,1,,0,
65535,65533,52427
Arial, 13
Exposure and intakes
304,176,-7
92,164
1,0,0,1,0,1,1,,0,
65535,65531,39321
Arial, 13
Net health effects
680,152,-6
96,138
1,0,0,1,0,1,1,,0,
2,0,-23,1025,666
52428,65535,52427
Arial, 13
[Objective Net_health_effects_i]
Age-category comparisons,
Susceptible age groups vs. adults
864,150,-5
92,138
1,0,0,1,0,1,1,,0,
65535,55703,52427
Arial, 13
Critical hazardous indicators
488,280,-4
96,84
1,0,0,1,0,1,1,,0,
52427,60621,65535
Arial, 13
Developmental defects in teeth
488,248,1
60,24
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Prenatal_exposure_to, Variable Suckling_exposure_to]
[Objective Net_health_effects_2, Objective Net_health_effects_1]
Total Cancer risk
U.S.EPA cancer slope factor used here for describing the total cancer risk due to exposure to dioxins.
488,312,1
48,24
1,1,1,1,1,1,1,,0,
2,0,-23,1025,666
Arial, 13
[Variable Exposure_of_general_]
[Objective Net_health_effects_i]
Nutrient concn.
mass unit/g
['Omega-3 fatty acids, mg/g','Vitamin D, ug/g','Vitamin E, mg/g','Selenium,ug/g','Iodine, ug/g','Group B vitamins, mg/g']
144,312,1
56,12
1,1,1,1,1,1,1,,0,
2,0,-23,1024,667
Arial, 13
Critical beneficial indicators
488,104,-3
96,92
1,0,0,1,0,1,1,,0,
58978,52427,65535
Arial, 13
Omega-3 fatty acid protection against cancer
488,160,1
60,28
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Omega_3_intake_in_an]
[Objective Net_health_effects_i]
Omega-3 fatty acid beneficial effects on central nervous system development
Omega-3 fatty acid beneficial effects on central nervous system development descried as attained (added?) intelligence quotient, IQ at a certain age
488,80,1
80,40
1,1,1,1,1,1,1,,0,
Arial, 13
[Variable Prenatal_intake_of_o, Variable Suckling_intake_of_o]
[Objective Net_health_effects_2, Objective Net_health_effects_1]
Indexes
224,320,-1
168,44
1,0,0,1,0,1,1,,0,
Arial, 13
Beneficial nutrient concn. in fish
48,24
136,144,1
56,32
1,1,1,1,1,1,1,,0,
Arial, 13
Concn. of beneficial nutrients in various fish species
mass units/g fish
Concentrations of beneficial nutrients in fish extracted from the FIneli database, where they are indicated as mass units/100 g fish analysed. Criteria for choosing the fish preparation method used prior the analyses:
1) one that is presumed as a common one used by the Finnish
consumers (roasting), and
2) also as available for most of the fish in the database.
-Omega-3 fatty acids, mg/g, as sum of n-3 PUFA (polyunsaturated fatty acids) precursors ALA (alphalinoleic acid), EPA (eicosapanthenic acid), and DHA (docosahexaenoic acid). DPA (docosapentaenoic acid) not available in the database.
-Vitamin D, ug/g
-Vitamin E, mg/g
-Selenium, ug/g
-Iodine, ug/g
-Group B vitamins, mg/g, as sum of B1 (tiamin), B2 (riboflavin), B6 (pyridoxin), B12 (cyanokobalamin) and niacin as its eqvivalents NE. Incorporation does not reflect any functional entity (its usefulness needs to be further reassessed).
See the reference below for further information for instance on the preparation ingredients used.
Table(Fish_species,Nutrient_concn_)(
(((490+232)+491)/100),(17.5/100),(3.1/100),(17.9/100),(45/100),(((((5.7+0.16)+0.02)+11.3)+0.24)/100),
(((490+232)+491)/100),(17.5/100),(3.1/100),(17.9/100),(45/100),(((((5.7+0.16)+0.02)+11.3)+0.24)/100),
(((669+204)+404)/100),(13.1/100),(2.9/100),(21.9/100),(75.6/100),0,
(((388+238)+445)/100),0,0,0,0,0,
(((441+40)+194)/100),(3/100),(2/100),(22.2/100),(33.9/100),(((((5.4+0.08)+0.09)+1.7)+0.23)/100),
(((583+369)+1100)/100),0,0,0,0,0,
(((3+124)+122)/100),0,0,0,0,0,
(((413+55)+249)/100),0,0,0,0,0,
(((5+102)+280)/100),0,0,0,0,0,
(((539+308)+895)/100),0,0,0,0,0,
(((13+92)+301)/100),0,0,0,0,0,
(((225+1014)+2028)/100),0,0,0,0,0
)
168,136,1
72,28
1,1,1,1,1,1,1,,0,
2,0,-23,1024,667
2,0,-23,1024,667,0,MIDM
2,0,-23,1024,667,1,MIDM
65535,52427,65534
Arial, 13
[Nutrient_concn_,Fish_species]
[Self,Fish_species]
1,F,4,2,0,0
[0, 0, 0, 0 ]
<a href="http://www.fineli.fi/foodclass.php?classif=fuclass&class=fish&lang=fi">Fineli database on fisn nutrient contents</a>
Omega-3-fatty acid concn.in various fish species
mg/g fish
Currently, only omega-3-fatty acids taken into account as health benefits of fish consumption.
Slice(Concn__of_beneficial,Nutrient_concn_,1)
168,224,1
64,32
1,1,1,1,1,1,1,,0,
2,0,-23,1024,667
2,0,-23,1024,667,0,MIDM
65535,52427,65534
Arial, 13
<a href="http://www.fineli.fi/foodclass.php?classif=fuclass&class=fish&lang=fi">Fineli database on fisn nutrient contents</a>