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The DAFNE databank for monitoring food disparities within and between European populations. Trichopoulou Antonia, MD for the DAFNE team WHO Collaborating Centre for Nutrition Medical School, University of Athens Nutrition and Physical Activity Network. Luxembourg, June 30 – July 1, 200
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Page 1: The DAFNE databank for monitoring food disparities …ec.europa.eu/health/archive/ph_determinants/life_style/...2003/06/30  · The DAFNE initiative Objective :Objective To develop

The DAFNE databank for monitoring food disparities within and between

European populations.

Trichopoulou Antonia, MDfor the DAFNE team

WHO Collaborating Centre for NutritionMedical School, University of Athens

Nutrition and Physical Activity Network. Luxembourg, June 30 – July 1, 2003

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The DAFNE initiativeThe DAFNE initiative

ObjectiveObjective : To develop a European, regularly

updated databank of comparable food and socio-

economic information, as a tool for monitoring

trends in food habits in Europe.

Supported by the European Commission, through: the“Cooperation in Science and Technology with Central and EasternEuropean Countries”, the “Agriculture and Agro-Industry, includingFisheries - AIR”, the “Agriculture and Fisheries - FAIR”, the “COST Action 99 - Food Consumption and Composition Data” programmes and the Health Monitoring Programme of DG-SANCO.

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The DAFNE participantsAustria : I. Elmadfa, University of ViennaBelgium : AM Remaut de Winter, University of GentFinland : MA Berg, Statistics FinlandFrance : JL Volatier, AFSSAGermany : IU. Leonhauser, University of Giessen

: G. Karg, University of Technology MunichGreece : A. Trichopoulou, Univ. of Athens

(Coordinating Centre)Hungary : G. Zajkas, NIFHNIreland : C. Kelleher, National University of Ireland, Galway

: S. Friel, National University of Ireland, GalwayItaly : A. Turrini, INRANLuxembourg : A. Schmitt, Nutrition Policy GroupNorway : K. Trygg, University of OsloPoland : W. Sekula, National Food and Nutrition InstitutePortugal : MDV Almeida, University of PortoSpain : O. Moreiras, University of MadridSweden : M. Sjostrom, Karolinska InstituteUK : M. Nelson, University of London

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The DAFNE databank

1992Luxembourg

1988Poland

1991Hungary

1989, 1995-96 (analysis in process)Sweden

1985, 1990, 1998 (analysis in process)Finland

1988, 1993, 1998 (analysis in process)Germany

1999-2000 (analysis in process)Austria

1985 – 1999 (15 surveys)United Kingdom

1980-81, 1990-91, 1998-99 Spain

1989-90, 1994-95, 1999-2000 (analysis in process) Portugal

1986/87/88, 1992/93/94, 1996/97/98 Norway

1990, 1993, 1996Italy

1987, 1994-95, 1999-2000Ireland

1981-82, 1987-88, 1993-94, 1998-99.Greece

1985, 1991, 1995France

1987-88, 1996-97, 1999Belgium

Years of HBS dataCountries

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Standard procedures

Data collection

Methodology of post harmonisation

Statistical analysis

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Standard procedures: Data collection

1.General information- household identification number- trimester of participation

2.Nutritional information- food code- total food expenditure- expenditure per food item- amounts per food item

3.Socioeconomic information- degree of urbanisation of household

(urban, rural , semi-urban)- name of geographical area where the

household is situated- household size- household composition

- Age and gender of household headand members

- Relationship of household memberswith the household head

- Household disposable income (netincome)

- Household total expenditure- Occupation / employment status /

economic activity of household headand members

- Education of household head andmembers

- Income of household head- Medical expenses data

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DAFNE food classification system Definition of comparable categories of sociodemographic data

results by occupation

results by levelof education

overall meansInternal validation II

Comparison with published data

results by household composition

External validation:comparison of HBS and individual-based

nutrition survey results

results bylocality

Summary statistics on food availability Development of models for the estimationof food availability at the individual level

Statistical analysis

Integration of the raw dataData management, data cleaning and internal validation I

Documentation

HBS data processing and analysis

DAFNEDAta Food NEtworking

Food Databank based on Household Budget Surveys (HBS)

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MethodologyPost-harmonisation

DAFNE Food Classification

DAFNE Classification Schemes for:localityeducation of household headoccupation of household headhousehold composition

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DAFNE - Data Food Networking

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* In France data were collected in 1991* In France data were collected in 1991

Source: The DAFNE databank (Source: The DAFNE databank (www.nut.uoa.grwww.nut.uoa.gr))

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DAFNE - Data Food Networking

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DAFNE - Data Food Networking

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DAFNE - Data Food NetworkingPercentage of low consumers

Countries Fruit < 150 g/p/day Vegetable < 250 g/p/day

Belgium 68 76 France 59 71 Germany 45 88 Greece 30 50 Hungary 66 76 Italy 34 71 Luxembourg 41 83 Norway 69 93 Poland 81 75 Portugal 55 83 Rep. of Ireland 74 80 Spain 30 72 United Kingdom 70 78

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DAFNE - Data Food Networking

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DAFNE - DAta Food NEtworkingMeat availability in Greece

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Food availability by locality

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rural

semi-urban

urban

rural semi- urban

urban

Bread availability by degree of urbanization in Greece and Spain

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Elementary incomplete

Elementary completed

Secondary incomplete

Secondary completed

Higher education

Elementary incomplete

Elementary completed

Secondary incomplete

Secondary completed

Higher education

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Food availability by education

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Mean availability of cereals by education level of household head (g/person/day)

0

50

100

150

200

250

300

350

400

450

GR (1998-99) IT (1996) NW (1996/1997/1998) PT (1995)

Illiterate/Elementary education incomplete Elementary education completed Secondary education incomplete

Secondary education completed University/College

Source: The DAFNE databank (www.nut.uoa.gr)

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Food expenditure

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Mean availability of meat and meat products, milk (total) and low-fat milk by quintiles of the households' food expenditure ratio.

Data from the Greek HBS 1998-99 (quantity/person/day)

0

50

100

150

200

250

Meat and meat products (g) Milk (total) (mL) Low -fat milk (mL)

1st Quintile (Mean ER=13) 2nd Quintile (Mean ER=20) 3rd Quintile (Mean ER=25) 4th Quintile (Mean ER=31) 5th Quintile (Mean ER=46)

( )

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Mean availability of soft drinks by quintiles of the households' food expenditure ratio.Data from the Greek HBS 1998-99 (mL/person/day)

0

10

20

30

40

50

60

70

80

90

Soft drinks (mL)

1st Quintile (Mean ER=13) 2nd Quintile (Mean ER=20) 3rd Quintile (Mean ER=25) 4th Quintile (Mean ER=31) 5th Quintile (Mean ER=46)

( )

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Overtime trends

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Overtime trends in the mean availability of meat and vegetables (g/person/day)

in two DAFNE countries

UNITED KINGDOM

50

75

100

125

150

175

200

225

250

275

300

1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999

FRANCE

50

75

100

125

150

175

200

225

250

275

300

1985 1991 1995

Meat & meatproducts

Vegetables

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Mean availability (g/person/day) of meat and meat products by country and year.

0

20

40

60

80

100

120

140

160

180

BE(88-99) GR(88-99) IRL(87-99) IT(90-96) NW(87-97) PT(90-95) UK(89-99)

Source: The DAFNE databank (www.nut.uoa.gr)

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Mean availability (mL/person/day) of soft drinks by country and year.

0

50

100

150

200

250

BE(88-99) GR(88-99) IRL(87-99) IT(90-96) NW(87-97) PT(90-95) UK(89-99)

Source: The DAFNE databank (www.nut.uoa.gr)

Page 29: The DAFNE databank for monitoring food disparities …ec.europa.eu/health/archive/ph_determinants/life_style/...2003/06/30  · The DAFNE initiative Objective :Objective To develop

Wishing to retrieve information?

Visit our web site at:www.nut.uoa.gr

Page 30: The DAFNE databank for monitoring food disparities …ec.europa.eu/health/archive/ph_determinants/life_style/...2003/06/30  · The DAFNE initiative Objective :Objective To develop

The DAFNE-Software (DafneSoft v2.0)can be freely downloaded at:

www.nut.uoa.gr

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QUALITY ASPECTS

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Quality Aspects: Data Compatibility

To evaluate whether household budget

and food consumption surveys can

converge, given the limitations and

inconsistencies present in both, in order

to describe the dietary habits of the

studied population

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DAFNE – Data Food NetworkingFRUIT AVAILABILITY AND INTAKE AMO NG MALES - NO RWAY

0

100

200

300

400

500

600

16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76 79

LOW UPPER INS

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DAFNE – Data Food Networking

FRUIT AVAILABILITY AND INTAKE AMONG MALES - NORWAY

0

100

200

300

400

500

600

16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80

LOW UPPER INS

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DAFNE – Data Food Networking

VEGETABLE AVAILABILITY AND INTAKE AMONG FEMALES - UNITED KINGDOM

0

50

100

150

200

250

16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64

LOW UPPER INS

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Results Results Pearson coefficients of mean daily individual values (in g) of principal food groups, evaluated through HBS and INS and expressed in percent of total daily dietary intake (in g).

0,82Meat and meat products

0,93Fruits

0,44Nuts

0,91Vegetables

0,68Pulses

0,74Starchy roots (potatoes)

0,42Total added lipids

0,96Milk and milk products

-0,04Fish and seafood

0,57Cereals

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National Nutrition Policy Committee –Greek Ministry of Health

GOALSReduce obesity in childhoodIncrease the consumption of vegetables and legumesReduce meat consumption and increase fish consumptionPrudent diet in mass cateringFood safety, quality and consumers’ protection

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This paper was produced for a meeting organized by Health & Consumer Protection DG and represents the views of its author on the subject. These views have not been adopted or in any way approved by the Commission and should not be relied upon as a statement of the Commission's or Health & Consumer Protection DG's views. The European Commission does not guarantee the accuracy of the data included in this paper, nor does it accept responsibility for any use made thereof.


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