Difference between revisions of "Food intake in Finland"

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(Calculations: code works)
m (Calculations)
Line 104: Line 104:
 
fooddata2 <- importFoodTables(
 
fooddata2 <- importFoodTables(
 
obs = list(4:16, 19:31),
 
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),
+
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,  
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")
+
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")
 
)
 
)
  
Line 113: Line 115:
  
 
temp <- fooddata2
 
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)") , ]
+
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)"
 +
) , ]
  
 
oprint(head(temp))
 
oprint(head(temp))

Revision as of 13:29, 17 July 2013



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.