Difference between revisions of "Food intake in Finland"

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(See also: food data from FI DK ES uploaded)
 
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[[Category:Data]]
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[[Category:Food]]
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[[Category:Fish]]
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[[Category:Beneris]]
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[[Category:Intake]]
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[[Category:Contains R code]]
 
{{variable}}
 
{{variable}}
'''Boxes with dashed borders''' contain brief guidance text
 
for completing the entries for new variables.
 
  
== Scope ==
+
== Question ==
  
Food intake in Finland in age groups 0-65 years.
+
What is intake of different food items (especially fish) in Finland in age groups 0-64 years?
  
== Definition ==
+
==Answer==
 +
 
 +
* [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=crAJyAlr9taPQlIG Fish intake per age group]
 +
** [http://194.187.214.42/rtools_server/runs/crAJyAlr9taPQlIG_plot001.png Larger graph]
 +
 
 +
<rcode graphics="1">
 +
library(OpasnetUtils)
 +
library(ggplot2)
 +
 
 +
objects.get("84Sg6BQDs7potVJr")
 +
 
 +
#oprint(head(foodFI))
 +
 
 +
fishlong <- c(
 +
"Atlantic salmon (Salmo salar)",
 +
"Baltic herring (Clupea harengus membras)",
 +
"Fish and other seafood(by species, these are examples - variation by country):",
 +
"Herring (Clupea harengus)",
 +
"Pike (Esox lucius)",
 +
"Rainbow trout (Onchorchys mykiss)"
 +
)
 +
 
 +
fishshort <- c(
 +
"Atlantic salmon",
 +
"Baltic herring",
 +
"Fish and seafood",
 +
"Herring",
 +
"Pike",
 +
"Rainbow trout"
 +
)
 +
 
 +
# Why do we need to reorder the factor? It should be ordered already.
 +
 
 +
age =  c("6 mo", "7 mo", "8 mo", "9 mo", "7-11 mo", "10 mo", "11 mo", "1", "2", "3", "4-5", "6-9", "10-13", "14-17",
 +
"18-24", "25-34", "35-44", "45-54", "55-64", "65-74")
 +
foodFI$Age <- factor(foodFI$Age, age, ordered = TRUE)
 +
 
 +
#levels(foodFI$Food)[levels(foodFI$Food) %in% fishlong]
 +
levels(foodFI$Food)[levels(foodFI$Food) %in% fishlong] <- fishshort
 +
 
 +
cat("Fish intake data based on results from Beneris project (child data mainly from DIPP study.)\n")
 +
 
 +
#head(foodFI[foodFI$Food %in% fishshort , ])
 +
 
 +
ggplot(foodFI[foodFI$Parameter == "Fractile0.5" & foodFI$Food == fishshort , ], aes(x = Age, y = Result)) + #
 +
geom_point(aes(colour = Food)) +
 +
theme_grey(base_size = 24) +
 +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
 +
 
 +
</rcode>
 +
 
 +
== Rationale ==
  
 
=== Data ===
 
=== Data ===
  
  Description of the data used for obtaining the value of the variable
+
The data contains:
(e.g. measurement data; mathematical method and its parameters). <br>
+
   
Please include references (preferably using the ''<nowiki><ref></ref></nowiki>'' tags)
+
a) Main food groups (ingredient level, classification used in EPIC)
and links to original data, as appropriate.
+
 
 +
b) Nutrients
 +
 
 +
c) Nutrient supplements
 +
 
 +
d) Fish and other seafood by species
 +
 +
 
 +
Age groups are: 0, 1, 2, 3, 4-5, 6-9, 10-13, 14-17, 18-24, 25-34, 35-44, 45-54, 55-64,
 +
 
 +
The data here is generated from the DIPP study, a Type 1 Diabetes Prediction and Prevention (DIPP) project in Finland, where the cohort of 5993 children (77 % of those invited) participated in the main study, and 117 randomly selected infants in the validation study.
 +
<ref>Virtanen SM, Aro A. Dietary factors in the aetiology of diabetes. Ann Med 1994;26:469-478. Virtanen et al 1994</ref>
 +
<ref>Virtanen SM, Knip M. Nutritional risk predictors of beta-cell autoimmunity and type 1 diabetes at a young age. Am J Clin Nutr 2003;78:1053-67. Virtanen et al 2003</ref>
 +
This was carried out in the university hospitals of Turku, Tampere and Oulu.<ref>[http://www.ktl.fi/portal/english/research__people___programs/health_promotion_and_chronic_disease_prevention/units/nutrition_unit/nutrition_and_diabetes/dipp_-_nutrition_study DIPP study]</ref>
  
=== Causality ===
+
* [[Food intake in Spain]]: [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=rAYp8Ss3DBm9mrx2] [http://www.opasnet.org/beneris/index.php/Media:Beneris_Food_consumption_SPAIN_130407_lr.xls] [http://www.opasnet.org/beneris/index.php/Variable:Food_consumption_and_nutrient_intake_in_Spain] [http://www.opasnet.org/beneris/index.php/File:Beneris_data_Spain_april_07.xls]
 +
* [[Food intake in Denmark]]: [http://www.opasnet.org/beneris/index.php/Food_intake_Denmark] [http://www.opasnet.org/beneris/index.php/File:Fish_intake_DK.xls]
 +
* [[Domestic fish consumption of the general population in Finland]]: [[Fish oil intake in Beneris]] [http://www.opasnet.org/beneris/index.php/File:D14_Dietary_Patterns_Finnish_Adults_20070629_th.pdf]
 +
* [http://www.opasnet.org/beneris/index.php/File:Food_consumption_FINLAND.xls Food consumption FINLAND.xls] <ref>File is also in N:\YTOS\Projects\BENERIS\WP2\Datat pyydetyssa muodossa\Food consumption_FINLAND.xls (original data accessible only for the THL))</ref>. The Excel sheets are uploaded as tables (R data.frames): [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=joMX5JwtDvhJib59 Main food categories], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=E03tfupLAj1MNRur Fish categories]
 +
* Food intake in subpopulations in Finland:
 +
** [[Domestic fish consumption of the pregnant women in Finland]]
 +
** Beneris_D18_subpopulation_intakes_Finland_th.xls <ref> [http://www.opasnet.org/beneris/index.php/Media:D18_subpopulation_intakes_Finland_th_WITH_FRONTPAGES.pdf D18 Subpopulation intakes]. The Excel data file is in N:\YMTO\PROJECTS\BENERIS\Admin\Deliverables\D18  Subpopulation intakes\Beneris_D18_subpopulation_intakes_Finland_th.xls.</ref>.  The Excel sheets are uploaded as tables (R data.frames): [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=OYjRK3GyjZCGFxgc Main food categories_children], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=o9EI8cefdX68AKFh Fish categories_children], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=gbwaeGZ9701Caw0t Main food categories_adults], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=UO5O2HaAujM7Pu9D Fish categories_adults], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=k0Ovl88MYCSwcIpa Main food categories_pregnant], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=JJlB0sLgmoFGzU5S Fish categories_pregnant]
 +
** [http://www.opasnet.org/beneris/index.php/Media:D14_Dietary_Patterns_Finnish_Adults_20070629_th.pdf D14 Dietary patterns]
 +
** [http://www.opasnet.org/beneris/index.php/File:Beneris_Food_consumption_pregnant_women_FINLAND_300507_th.xls Beneris Food consumption pregnant women FINLAND 300507 th.xls]  The Excel sheets are uploaded as tables (R data.frames): [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=4MwE3Wlg6C31S2DP Main food categories], [http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=QTgTrIzIxUmSoqqr Fish categories]
 +
* [http://www.opasnet.org/beneris/index.php/File:Beneris_metals_in_Finnish_human_placentae_20112007_ak.txt Metals in Finnish human placentae]
 +
* Food and contaminant intake in Ireland: [http://www.opasnet.org/beneris/index.php/File:Fish_consumption_and_POPs_IRELAND.xls] [http://www.opasnet.org/beneris/index.php/File:Beneris_Mercury_in_fish_2002-2006_IRELAND_26112007_ip.xls] [http://www.opasnet.org/beneris/index.php/File:Fish_consumption_and_POPs_IRELAND.xls]
 +
* [http://www.opasnet.org/beneris/index.php/Dioxin_intakes_in_Finnish_children Dioxin intakes in Finnish children]
  
List of upstream variables.
 
The variables can be listed used descriptive (free-format) names or unambiguous identifiers
 
(e.g. [[Analytica]] IDs).
 
  
 
=== Unit ===
 
=== Unit ===
  
  Unit in which the result is expressed.
+
g/day AMONG THOSE WHO USE THIS PRODUCT
 +
 
 +
=== Calculations ===
 +
 
 +
<rcode graphics="1">
 +
library(OpasnetUtils)
 +
library(reshape2)
 +
library(ggplot2)
 +
 
 +
importFoodTables <- function(
 +
dat = table, # Data sheet from Excel or elsewhere
 +
cols = c("mean", "SD", "Fractile0.05", "Fractile0.25", "Fractile0.5", "Fractile0.75", "Fractile0.95", "Userfraction"),
 +
sheet = "General population",
 +
obs,
 +
sex = c("Male", "Female"),
 +
block,
 +
age
 +
) {
 +
out <- data.frame()
 +
for(i in 1:length(obs)) {
 +
for(j in 1:length(block)) {
 +
temp <- dat[obs[[i]], block[[j]]]
 +
colnames(temp) <- cols
 +
temp <- data.frame(Population = sheet, Sex = sex[[i]], Age = age[[j]], Food = dat[obs[[i]], 1], temp)
 +
temp[["Userfraction"]] <- as.numeric(gsub("%", "", temp[["Userfraction"]])) / 100
 +
temp <-  melt(temp, measure.vars = cols, variable.name = "Parameter", value.name = "Result")
 +
out <- rbind(out, temp)
 +
}
 +
}
 +
out$Result <- as.numeric(out$Result)
 +
out$Age <- factor(out$Age, age, ordered = TRUE)
 +
return(out)
 +
}
 +
 
 +
# Food consumption FINLAND.xls / Main food categories. http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=7YsAYvWNMy7wRqIR
 +
 
 +
objects.get("7YsAYvWNMy7wRqIR")
 +
 
 +
fooddata1 <- importFoodTables(
 +
obs = list(c(5:22, 25:33, 35:37), c(40:57, 60:68, 70:72)),
 +
block =  list(10:17, 26:33, 42:49, 74:81, 82:89, 90:97, 98:105),
 +
age =  c("1", "3", "6", "25-34", "35-44", "45-54", "55-64")
 +
)
 +
 
 +
# Food consumption FINLAND.xls / Fish categories. http://en.opasnet.org/en-opwiki/index.php/Special:R-tools?id=E03tfupLAj1MNRur
 +
 
 +
objects.get("E03tfupLAj1MNRur")
 +
 
 +
fooddata2 <- importFoodTables(
 +
obs = list(4:16, 19:31),
 +
block =  list(3:10, 12:19, 21:28, 30:37, 39:46, 48:55, 57:64, c(65, 65:71), 73:80, 82:89, 91:98, 100:107, 109:116,
 +
118:125, 127:134, 136:143, 151:158, 160:167, 169:176, 178:185),
 +
age =  c("6 mo", "7 mo", "8 mo", "9 mo", "10 mo", "11 mo", "1", "7-11 mo", "2", "3", "4-5", "6-9", "10-13", "14-17",
 +
"18-24", "25-34", "35-44", "45-54", "55-64", "65-74")
 +
)
 +
 
 +
foodFI <- rbind(fooddata1, fooddata2)
 +
 
 +
oprint(head(foodFI))
 +
 
 +
temp <- fooddata2
 +
temp <- temp[temp$Parameter == "Fractile0.5" &
 +
temp$Food %in% c(
 +
"Fish and other seafood(by species, these are examples - variation by country):",
 +
"Baltic herring (Clupea harengus membras)",
 +
"Herring (Clupea harengus)",
 +
"Pike (Esox lucius)",
 +
"Rainbow trout (Onchorchys mykiss)",
 +
"Atlantic salmon (Salmo salar)"
 +
) , ]
  
=== Formula ===
+
oprint(head(temp))
 +
ggplot(temp, aes(x = Age, y = Result)) + geom_point(aes(colour = Food)) + theme_grey(base_size = 24)
  
Algebra or other explicit methods if possible
+
objects.put(foodFI)
(e.g. [[Analytica]] code between the ''<anacode></anacode>'' delimiters).
 
  
== Result ==
+
cat("Object foodFI saved.\n")
  
If possible, a numerical expression or distribution.
+
</rcode>
  
 
==See also==
 
==See also==
  
Links to relevant information that does not belong to ''Definition''.
+
* [[Food intake in Finland]]
 +
* [[Food intake in Spain]]
 +
* [[Food intake in Denmark]]
 +
* {{#l:Food consumption_FINLAND.xls}}
 +
* {{#l:Beneris_Food consumption pregnant women_FINLAND_300507_th.xls}}
 +
* {{#l:Beneris_Food consumption_SPAIN_130407_lr.xls}}
 +
* {{#l:Fish consumption and POPs_IRELAND.xls}}
 +
* {{#l:Food consumption_DK.xls}}
  
 
==References==
 
==References==
 
Will appear here automatically, if cited above using the ''<nowiki><ref></ref></nowiki>'' tags.
 
Additional references can also be listed here.
 
  
 
<references/>
 
<references/>
N:\YTOS\Projects\BENERIS\WP2\Datat pyydetyssa muodossa\Food consumption_FINLAND.xls
 

Latest revision as of 15:45, 15 April 2016



Question

What is intake of different food items (especially fish) in Finland in age groups 0-64 years?

Answer

+ Show code

Rationale

Data

The data contains:

a) Main food groups (ingredient level, classification used in EPIC)

b) Nutrients

c) Nutrient supplements

d) Fish and other seafood by species


Age groups are: 0, 1, 2, 3, 4-5, 6-9, 10-13, 14-17, 18-24, 25-34, 35-44, 45-54, 55-64,

The data here is generated from the DIPP study, a Type 1 Diabetes Prediction and Prevention (DIPP) project in Finland, where the cohort of 5993 children (77 % of those invited) participated in the main study, and 117 randomly selected infants in the validation study. [1] [2] This was carried out in the university hospitals of Turku, Tampere and Oulu.[3]


Unit

g/day AMONG THOSE WHO USE THIS PRODUCT

Calculations

+ Show code

See also

References

  1. Virtanen SM, Aro A. Dietary factors in the aetiology of diabetes. Ann Med 1994;26:469-478. Virtanen et al 1994
  2. Virtanen SM, Knip M. Nutritional risk predictors of beta-cell autoimmunity and type 1 diabetes at a young age. Am J Clin Nutr 2003;78:1053-67. Virtanen et al 2003
  3. DIPP study
  4. File is also in N:\YTOS\Projects\BENERIS\WP2\Datat pyydetyssa muodossa\Food consumption_FINLAND.xls (original data accessible only for the THL))
  5. D18 Subpopulation intakes. The Excel data file is in N:\YMTO\PROJECTS\BENERIS\Admin\Deliverables\D18 Subpopulation intakes\Beneris_D18_subpopulation_intakes_Finland_th.xls.