report card: slovenia...stabilization of overweight and obesity in slovenian adolescents and...
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Report cardSlovenia
1
Contents Page
Obesity prevalence 2
Trend: % Children living with overweight or obesity, 1987-2011 4
Overweight/obesity by age and education 5
Overweight/obesity by education 7
Overweight/obesity by age 10
Overweight/obesity by age and region 12
Overweight/obesity by age and socio-economic group 14
Overweight/obesity by socio-economic group 17
Insufficient physical activity 21
Sugar consumption 27
Estimated per capita sugar sweetened beverages intake 28
Prevalence of at least daily carbonated soft drink consumption 29
Prevalence of confectionery consumption 30
Prevalence of sweet/savoury snack consumption 31
Estimated per capita fruit intake 32
Prevalence of less than daily fruit consumption 33
Prevalence of less than daily vegetable consumption 34
Estimated per-capita processed meat intake 35
Estimated per capita whole grains intake 36
Mental health - depression disorders 37
Mental health - anxiety disorders 38
Oesophageal cancer 39
Breast cancer 41
Colorectal cancer 42
Pancreatic cancer 44
Gallbladder cancer 46
Kidney cancer 48
Cancer of the uterus 50
Raised blood pressure 51
Raised cholesterol 54
Raised fasting blood glucose 57
Diabetes prevalence 59
Obesity prevalence
Adults, 2017
Adults Men Women0
10
20
30
40
50
60
Obesity Overweight
%
Survey type: Self-reported
Age: 18+
Area covered: National
References: EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
2
Children, 2018
Boys Girls0
5
10
15
20
25
Obesity Overweight
%
Survey type: Measured
Age: 7-18
Sample size: 173679
Area covered: National
References: SoriÄ�, Maroje, et al. “Increasing Trends in Childhood Overweight Have Mostly Reversed: 30 Years of Continuous
Surveillance of Slovenian Youth.” Scientific Reports, vol. 10, no. 1, 3 July 2020, p. 11022,
www.nature.com/articles/s41598-020-68102-2, 10.1038/s41598-020-68102-2. Accessed 22 Apr. 2021.
Cutoffs: IOTF
3
% Children living with overweight or obesity, 1987-2011
1990 1995 2000 2005 20100
5
10
15
20
25
30
Overweight or obesity, Boys Overweight or obesity, Girls
% C
hild
ren
livin
g w
ith o
verw
eigh
t or o
besi
ty
Survey type: Measured
References: 1987, 2007: Strel J, Kovač M and Starc G. (2008). BMI and obesity trends of Slovenian children and youth
1987 - 1997 2007. Faculty of Sport, University of Ljubljana.
2011: Kovac M, Jurak G, Leskosek B. The prevalence of excess weight and obesity in Slovenian children and
adolescents from 1991 to 2011. ANTHROPOLOGICAL NOTEBOOKS 2012; 18 (1): 91–103.
Definitions: IOTF
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please
check with original data sources for methodologies used.
4
Overweight/obesity by age and education
Men, 2017
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Age 18+ Age 16-24 Age 25-34 Age 35-49 Age 50-64 Age 65-74 Age 75+
0
10
20
30
40
50
60
70
80
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2017 - Education EUROSTAT Database
http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
5
Women, 2017
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Level 0-2
Level 3-4
Level 5-8
Age 18+ Age 16-24 Age 25-34 Age 35-49 Age 50-64 Age 65-74 Age 75+
0
10
20
30
40
50
60
70
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2017 - Education EUROSTAT Database
http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
6
Overweight/obesity by education
Men, 2014
Level 0-2 Level 3-4 Level 5-80
10
20
30
40
50
60
70
Obesity Overweight
%
Survey type: Self-reported
Age: 18+
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Notes: Less than primary, primary and lower secondary education (levels 0-2) Upper secondary and post-secondary non-
tertiary education (levels 3 and 4) Tertiary education (levels 5-8)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
7
Women, 2014
Level 0-2 Level 3-4 Level 5-80
10
20
30
40
50
60
Obesity Overweight
%
Survey type: Self-reported
Age: 18+
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Notes: Less than primary, primary and lower secondary education (levels 0-2) Upper secondary and post-secondary non-
tertiary education (levels 3 and 4) Tertiary education (levels 5-8)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
8
Children, 2010
Low education High education0
5
10
15
20
25
30
35
Obesity Overweight
%
Survey type: Measured
Age: 10-12
Sample size: 1148
Area covered: National
References: Brug J, van Stralen MM, te Velde SJ et al. Differences in Weight Status and Energy-Balance Related Behaviors among
Schoolchildren across Europe: The ENERGY-Project. PLoS ONE 2012;7 (4) e34742
Cutoffs: IOTF
9
Overweight/obesity by age
Adults, 2017
Men Women Men Women Men Women Men Women Men Women Men Women Men WomenAge 16-24 Age 25-34 Age 25-64 Age 35-49 Age 50-64 Age 65-74 Age 75+
0
10
20
30
40
50
60
70
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2017 - EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
10
Children, 2015-2017
Boys Girls Boys Girls Boys Girls Boys GirlsAge 6 Age 7 Age 8 Age 9
0
5
10
15
20
25
30
35
Obesity Overweight
%
Survey type: Measured
Sample size: 28,058
Area covered: National
References: WHO European Childhood Obesity Surveillance Initiative (COSI) Report on the fourth round of data collection, 2015–2017
(2021). Available at: https://www.euro.who.int/en/health-topics/disease-prevention/nutrition/activities/who-european-
childhood-obesity-surveillance-initiative-cosi/cosi-publications/who-european-childhood-obesity-surveillance-initiative-
cosi-report-on-the-fourth-round-of-data-collection,-20152017-2021. Accessed 19.05.21.
Cutoffs: WHO
11
Overweight/obesity by age and region
Men, 2014
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Age 18+ Age 18-24 Age 25-34 Age 35-44 Age 45-54 Age 45-64 Age 55-64 Age 65-74 Age 75+
0
20
40
60
80
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
12
Women, 2014
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Cities
Rural areas
Towns and suburbs
Age 18+ Age 18-24 Age 25-34 Age 35-44 Age 45-54 Age 45-64 Age 55-64 Age 65-74 Age 75+
0
10
20
30
40
50
60
70
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
13
Overweight/obesity by age and socio-economic group
Adults, 2014
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
Age 18+ Age 18-24 Age 25-34 Age 35-44 Age 45-54 Age 55-64 Age 65-74 Age 75+
0
20
40
60
80
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
14
Men, 2014
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
Age 18+ Age 18-24 Age 25-34 Age 35-44 Age 45-54 Age 55-64 Age 65-74 Age 75+
0
20
40
60
80
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
15
Women, 2014
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
5th Quintile
1st Quintile
2nd quintile
3rd quintile
4th quintile
Age 18+ Age 18-24 Age 25-34 Age 35-44 Age 45-54 Age 55-64 Age 65-74 Age 75+
0
10
20
30
40
50
60
70
Obesity Overweight
%
Survey type: Self-reported
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
16
Overweight/obesity by socio-economic group
Men, 2014
1st Quintile 2nd 3rd 4th 5th Quintile0
10
20
30
40
50
60
70
Obesity Overweight
%
Survey type: Self-reported
Age: 18+
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Notes: 1st Quintile (lowest income), 5th Quintile (highest income) Please note where data = zero, there were insufficient
data.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
17
Women, 2014
1st Quintile 2nd 3rd 4th 5th Quintile0
10
20
30
40
50
Obesity Overweight
%
Survey type: Self-reported
Age: 18+
Area covered: National
References: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last
accessed 25.08.20)
Notes: 1st Quintile (lowest income), 5th Quintile (highest income) Please note where data = zero, there were insufficient
data.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
18
Boys, 2017-2018
High FAS Low FAS0
5
10
15
20
25
30
35
Overweight or obesity
%
Survey type: Self-reported
Age: 11-15
Sample size: 5661
Area covered: National
References: World Health Organization (2020). Spotlight on adolescent health and well-being - Findings from the 2017/2018 Health
Behaviour in School-aged Children (HBSC) survey in Europe and Canada. Available at:
https://apps.who.int/iris/bitstream/handle/10665/332091/9789289055000-eng.pdf. Last accessed: 25.05.21.
Notes: HBSC Family Affluence Scale (FAS) - "HBSC uses an alternative measure, the Family Affluence Scale, which asks young
people about material assets such as family cars, number of foreign holidays, computers, bathrooms and dishwashers in
the household, holidays and having a bedroom to oneself. The scale, which enables users to add up how many of these
assets a young person has in their home compared with other adolescents in their country/region, has been shown to
provide a valid indicator of relative affluence."
Definitions: HBSC Family Affluence Scale (FAS)
Cutoffs: WHO
19
Girls, 2017-2018
High FAS Low FAS0
5
10
15
20
Overweight or obesity
%
Survey type: Self-reported
Age: 11-15
Sample size: 5661
Area covered: National
References: World Health Organization (2020). Spotlight on adolescent health and well-being - Findings from the 2017/2018 Health
Behaviour in School-aged Children (HBSC) survey in Europe and Canada. Available at:
https://apps.who.int/iris/bitstream/handle/10665/332091/9789289055000-eng.pdf. Last accessed: 25.05.21.
Notes: HBSC Family Affluence Scale (FAS) - "HBSC uses an alternative measure, the Family Affluence Scale, which asks young
people about material assets such as family cars, number of foreign holidays, computers, bathrooms and dishwashers in
the household, holidays and having a bedroom to oneself. The scale, which enables users to add up how many of these
assets a young person has in their home compared with other adolescents in their country/region, has been shown to
provide a valid indicator of relative affluence."
Definitions: HBSC Family Affluence Scale (FAS)
Cutoffs: WHO
20
Insufficient physical activity
Adults, 2016
Finland
Sweden
Lithuania
Spain
Netherlands
Luxembourg
Denm
ark
France
Latvia
Austria
Croatia
Czechia
Estonia
Slovenia
Poland
Ireland
Slovakia
Rom
ania
Belgium
United Kingdom
Greece
Hungary
Italy
Malta
Germ
any
Portugal
Cyprus
0
5
10
15
20
25
30
35
40
45
% in
suffi
cien
t phy
sica
l act
ivity
References: Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled
analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-
109X(18)30357-7
21
Men, 2016
Finland
Sweden
Spain
Lithuania
France
Netherlands
Latvia
Denm
ark
Croatia
Austria
Luxembourg
Slovenia
Czechia
Ireland
Estonia
Belgium
Slovakia
Poland
United Kingdom
Rom
ania
Hungary
Greece
Italy
Malta
Portugal
Cyprus
Germ
any
0
5
10
15
20
25
30
35
40
% in
suffi
cien
t phy
sica
l act
ivity
References: Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled
analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-
109X(18)30357-7
22
Women, 2016
Finland
Sweden
Netherlands
Lithuania
Luxembourg
Spain
Denm
ark
Latvia
Poland
Austria
Czechia
France
Estonia
Croatia
Slovenia
Ireland
Rom
ania
Slovakia
United Kingdom
Belgium
Greece
Hungary
Germ
any
Italy
Malta
Portugal
Cyprus
0
10
20
30
40
50
% in
suffi
cien
t phy
sica
l act
ivity
References: Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled
analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-
109X(18)30357-7
23
Children, 2016
SlovakiaIreland
FinlandSpain
CroatiaCzechia
AustriaPoland
Luxembourg
Hungary
Romania
United Kingdom
SloveniaLatvia
Lithuania
Netherlands
MaltaBelgium
Germany
EstoniaPortugal
Denmark
GreeceSweden
FranceItaly
0
10
20
30
40
50
60
70
80
90
% in
suffi
cien
t phy
sica
l act
ivity
Survey type: Self-reported
Age: 11-17
References: Global Health Observatory data repository, World Health Organisation,
https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes: % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less
than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions: % Adolescents insufficiently active (age standardised estimate)
24
Boys, 2016
IrelandSlovakia
FinlandSpain
CroatiaAustria
Romania
CzechiaLuxembourg
Hungary
PolandUnited Kingdom
SloveniaLithuania
LatviaNetherlands
MaltaPortugal
BelgiumGermany
GreeceEstonia
Denmark
SwedenFrance
Italy0
10
20
30
40
50
60
70
80
90
% in
suffi
cien
t phy
sica
l act
ivity
Survey type: Self-reported
Age: 11-17
References: Global Health Observatory data repository, World Health Organisation,
https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes: % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less
than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions: % Adolescents insufficiently active (age standardised estimate)
25
Girls, 2016
Slovakia
Ireland
Czechia
Finland
Spain
Netherlands
Croatia
Latvia
Poland
Austria
Lithuania
Luxembourg
United Kingdom
Slovenia
Hungary
Malta
Rom
ania
Denm
ark
Sweden
Estonia
Germ
any
Belgium
Greece
Portugal
Italy
France
0
10
20
30
40
50
60
70
80
90
% in
suffi
cien
t phy
sica
l act
ivity
Survey type: Self-reported
Age: 11-17
References: Global Health Observatory data repository, World Health Organisation,
https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes: % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less
than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions: % Adolescents insufficiently active (age standardised estimate)
26
Sugar consumption
Adults, 2016
FinlandNetherlands
Germany
Denmark
SwedenSpain
Portugal
FranceAustria
United Kingdom
IrelandBelgium
ItalyRomania
SloveniaCzech Republic
PolandSlovakia
GreeceCroatia
Hungary
EstoniaLithuania
Latvia
0
2
4
6
8
10
Num
ber o
f por
tions
References: Source: Euromonitor International
Definitions: Sugar consumption (Number of 500g sugar portions/person/month)
27
Estimated per capita sugar sweetened beverages intake
Adults, 2016
LatviaLithuania
SloveniaEstonia
FinlandSweden
GreeceRomania
Denmark
CroatiaUnited Kingdom
Netherlands
IrelandSlovakia
Portugal
Czech Republic
PolandHungary
AustriaFrance
ItalySpain
BelgiumGermany
0
10
20
30
40
50
60
70
Num
ber o
f por
tions
References: Source: Euromonitor International
28
Prevalence of at least daily carbonated soft drink consumption
Children, 2014
FinlandEstonia
SwedenDenmark
GreeceLatvia
SloveniaLithuania
IrelandItaly
Czech Republic
United Kingdom
AustriaPortugal
SpainGermany
PolandCroatia
SlovakiaRomania
FranceHungary
Luxembourg
Netherlands
Malta0
5
10
15
20
25
30
35
40
%
Survey type: Measured
References: World Health Organization. (2017). Adolescent obesity and related behaviours: Trends and inequalities in the who
european region, 2002-2014: observations from the Health Behavior in School-aged Children (HBSC) WHO collaborative
cross-national study (J. Inchley, D. Currie, J. Jewel, J. Breda, & V. Barnekow, Eds.). World Health Organization. Sourced from
Food Systems Dashboard http://www.foodsystemsdashboard.org
Notes: 15-year-old adolescents
Definitions: Prevalence of at least daily carbonated soft drink consumption (% of at least daily carbonated soft drink consumption)
29
Prevalence of confectionery consumption
Adults, 2016
Romania
Portugal
GreeceItaly
Hungary
SpainCroatia
PolandLithuania
LatviaCzech Republic
SloveniaFrance
SlovakiaBelgium
EstoniaDenmark
Netherlands
SwedenFinland
United Kingdom
AustriaIreland
Germany
0
5
10
15
20
Num
ber o
f por
tions
References: Source: Euromonitor International
Definitions: Prevalence of confectionery consumption (Number of 50g confectionery portions/person/month)
30
Prevalence of sweet/savoury snack consumption
Adults, 2016
LatviaLithuania
Portugal
Hungary
ItalyEstonia
GreeceRomania
SloveniaPoland
CroatiaCzech Republic
FranceGermany
AustriaDenmark
SlovakiaBelgium
FinlandSweden
Netherlands
SpainUnited Kingdom
Ireland
0
5
10
15
20
Num
ber o
f por
tions
References: Source: Euromonitor International
Definitions: Prevalence of sweet/savoury snack consumption (Number of 35g sweet/savoury snack portions/person/month)
31
Estimated per capita fruit intake
Adults, 2017
Latvia
Poland
Slovakia
Hungary
Czech R
epublic
Lithuania
Rom
ania
Estonia
Germ
any
Belgium
Finland
United Kingdom
Cyprus
Malta
France
Croatia
Portugal
Sweden
Netherlands
Spain
Slovenia
Ireland
Austria
Denm
ark
Italy
Greece
Luxembourg
0
50
100
150
200
g/da
y
Survey type: Measured
Age: 25+
References: Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions: Estimated per-capita fruit intake (g/day)
32
Prevalence of less than daily fruit consumption
Children, 2014
FinlandLatvia
SwedenEstonia
Lithuania
GreecePoland
Netherlands
Hungary
SlovakiaSpain
FranceCroatia
Czech Republic
ItalyMalta
Germany
United Kingdom
Romania
Luxembourg
SloveniaPortugal
IrelandDenmark
Austria
0
10
20
30
40
Age 12-17 Age 15
% <
dai
ly c
onsu
mpt
ion
Survey type: Measured
References: Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable,
Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food
and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard
http://www.foodsystemsdashboard.org/food-system
Definitions: Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption)
33
Prevalence of less than daily vegetable consumption
Children, 2014
Spain
Estonia
Germ
any
Latvia
Italy
Slovakia
Slovenia
Czech R
epublic
Finland
Portugal
Croatia
Poland
Austria
Malta
Hungary
Lithuania
Greece
Luxembourg
Rom
ania
Sweden
France
United Kingdom
Denm
ark
Ireland
Netherlands
0
10
20
30
40
% <
dai
ly c
onsu
mpt
ion
Survey type: Measured
Age: 12-17
References: Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A
meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin.
https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard
http://www.foodsystemsdashboard.org/food-system
Definitions: Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption)
34
Estimated per-capita processed meat intake
Adults, 2017
Croatia
Portugal
Greece
Poland
Cyprus
Hungary
Rom
ania
Austria
Czech R
epublic
Slovakia
Slovenia
Ireland
Malta
Finland
Spain
Belgium
France
Italy
Denm
ark
Netherlands
Estonia
Luxembourg
Latvia
Germ
any
Lithuania
United Kingdom
Sweden
0
5
10
15
20
g/da
y
Survey type: Measured
Age: 25+
References: Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions: Estimated per-capita processed meat intake (g per day)
35
Estimated per capita whole grains intake
Adults, 2017
Italy
Malta
Greece
France
Cyprus
Denm
ark
Latvia
United Kingdom
Hungary
Portugal
Slovakia
Sweden
Belgium
Croatia
Poland
Finland
Lithuania
Spain
Netherlands
Estonia
Rom
ania
Luxembourg
Slovenia
Germ
any
Austria
Czech R
epublic
Ireland
0
5
10
15
20
25
30
35
40
45
g/da
y
Survey type: Measured
Age: 25+
References: Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions: Estimated per-capita whole grains intake (g/day)
36
Mental health - depression disorders
Adults, 2015
United Kingdom
Netherlands
Belgium
France
Ireland
Latvia
Sweden
Denm
ark
Luxembourg
Rom
ania
Austria
Croatia
Cyprus
Hungary
Italy
Malta
Poland
Slovakia
Slovenia
Czech R
epublic
Germ
any
Spain
Finland
Lithuania
Greece
Portugal
Estonia
0
1
2
3
4
5
6
% o
f pop
ulat
ion
References: Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and
Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-
NC-SA 3.0 IGO.
Definitions: % of population with depression disorders
37
Mental health - anxiety disorders
Adults, 2015
Estonia
Finland
Latvia
Lithuania
Rom
ania
Croatia
Czech R
epublic
Slovenia
Hungary
Poland
Slovakia
Spain
United Kingdom
Belgium
Sweden
Austria
Denm
ark
Greece
Luxembourg
Malta
Portugal
Italy
Cyprus
Germ
any
France
Ireland
Netherlands
0
1
2
3
4
5
6
% o
f pop
ulat
ion
References: Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and
Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-
NC-SA 3.0 IGO.
Definitions: % of population with anxiety disorders
38
Oesophageal cancer
Men, 2018
Cyprus
Greece
Italy
Malta
Finland
Rom
ania
Sweden
Spain
Croatia
Poland
Austria
Slovenia
Estonia
Luxembourg
Czech R
epublic
France
Germ
any
Portugal
Belgium
Ireland
Slovakia
Hungary
Denm
ark
Latvia
Lithuania
United Kingdom
Netherlands
0
2
4
6
8
10
12
14
16
18
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per
100,000
39
Women, 2018
Greece
Portugal
Rom
ania
Italy
Latvia
Malta
Cyprus
Estonia
Slovakia
Spain
Lithuania
Croatia
Poland
Slovenia
Austria
Sweden
Finland
Hungary
Czech R
epublic
Luxembourg
France
Germ
any
Belgium
Denm
ark
Netherlands
Ireland
United Kingdom
0
1
2
3
4
5
6
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per
100,000
40
Breast cancer
Women, 2018
Rom
ania
Poland
Slovakia
Lithuania
Estonia
Latvia
Slovenia
Croatia
Greece
Czech R
epublic
Portugal
Austria
Spain
Cyprus
Germ
any
Hungary
Malta
Denm
ark
Finland
Sweden
Ireland
Italy
United Kingdom
France
Netherlands
Luxembourg
Belgium
0
50
100
150
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, breast, females, ages 20+. ASR (World) per
100,000
41
Colorectal cancer
Men, 2018
Austria
Finland
Sweden
Germ
any
Luxembourg
Greece
Cyprus
Estonia
Lithuania
Malta
Italy
Rom
ania
France
United Kingdom
Poland
Ireland
Czech R
epublic
Latvia
Belgium
Netherlands
Spain
Denm
ark
Croatia
Portugal
Slovenia
Slovakia
Hungary
0
20
40
60
80
100
120
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per
100,000
42
Women, 2018
Cyprus
Austria
Rom
ania
Greece
Finland
Germ
any
Lithuania
Poland
Malta
Spain
Sweden
Italy
Czech R
epublic
France
Croatia
Luxembourg
Slovenia
Estonia
Ireland
United Kingdom
Latvia
Belgium
Portugal
Netherlands
Slovakia
Denm
ark
Hungary
0
10
20
30
40
50
60
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per
100,000
43
Pancreatic cancer
Men, 2018
Ireland
Netherlands
Cyprus
Portugal
United Kingdom
Spain
Denm
ark
Italy
Sweden
Poland
Finland
Luxembourg
Germ
any
Greece
Austria
Rom
ania
Belgium
Malta
Lithuania
Slovenia
Croatia
France
Czech R
epublic
Slovakia
Hungary
Estonia
Latvia
0
5
10
15
20
25
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per
100,000
44
Women, 2018
Portugal
Cyprus
Spain
Greece
Ireland
Poland
Rom
ania
Estonia
Lithuania
Croatia
United Kingdom
Italy
Luxembourg
Netherlands
Slovenia
Latvia
Malta
Sweden
Denm
ark
Finland
France
Czech R
epublic
Germ
any
Slovakia
Austria
Belgium
Hungary
0
2
4
6
8
10
12
14
16
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per
100,000
45
Gallbladder cancer
Men, 2018
Malta
Latvia
Luxembourg
Portugal
Finland
Lithuania
Cyprus
Denm
ark
Belgium
United Kingdom
Rom
ania
France
Sweden
Austria
Ireland
Germ
any
Greece
Estonia
Netherlands
Italy
Poland
Spain
Croatia
Czech R
epublic
Hungary
Slovenia
Slovakia
0
1
2
3
4
5
6
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per
100,000
46
Women, 2018
Malta
Luxembourg
Latvia
Belgium
Portugal
Rom
ania
Greece
Lithuania
France
Austria
Denm
ark
Germ
any
Cyprus
Spain
Finland
Netherlands
Estonia
United Kingdom
Croatia
Ireland
Italy
Sweden
Poland
Czech R
epublic
Hungary
Slovenia
Slovakia
0
1
2
3
4
5
6
7
8
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per
100,000
47
Kidney cancer
Men, 2018
Cyprus
Rom
ania
Portugal
Sweden
Luxembourg
Austria
Finland
Netherlands
Malta
Poland
Germ
any
Belgium
Italy
Denm
ark
Spain
United Kingdom
Greece
Ireland
Slovenia
Croatia
Hungary
France
Slovakia
Latvia
Lithuania
Czech R
epublic
Estonia
0
5
10
15
20
25
30
35
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000
48
Women, 2018
Cyprus
Portugal
Rom
ania
Greece
Spain
Sweden
Netherlands
Austria
Germ
any
Luxembourg
Slovenia
Denm
ark
Italy
Finland
Poland
Malta
Belgium
Ireland
Croatia
United Kingdom
France
Hungary
Slovakia
Czech R
epublic
Estonia
Lithuania
Latvia
0
2
4
6
8
10
12
14
16
18
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000
49
Cancer of the uterus
Women, 2018
Malta
Finland
Spain
Austria
Luxembourg
Cyprus
Netherlands
France
Italy
Slovenia
Germ
any
Belgium
Croatia
Greece
United Kingdom
Portugal
Sweden
Poland
Czech R
epublic
Denm
ark
Ireland
Slovakia
Hungary
Lithuania
Rom
ania
Estonia
Latvia
0
5
10
15
20
25
30
35
40
Inci
denc
e pe
r 100
,000
Age: 20+
References: Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020)
Definitions: Estimated age-standardized incidence rates (World) in 2018, cervix uteri, females, ages 20+. ASR (World) per
100,000
50
Raised blood pressure
Adults, 2015
United Kingdom
Belgium
Netherlands
Greece
Spain
Sweden
Finland
Malta
Ireland
Cyprus
Germ
any
Denm
ark
Austria
Italy
Luxembourg
France
Portugal
Estonia
Czech R
epublic
Slovakia
Poland
Lithuania
Latvia
Hungary
Rom
ania
Slovenia
Croatia
0
5
10
15
20
25
30
% ra
ised
blo
od p
ress
ure
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions: Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
51
Men, 2015
United Kingdom
Belgium
Greece
Ireland
Netherlands
Spain
Cyprus
Finland
Sweden
Germ
any
Malta
Austria
Italy
Denm
ark
France
Luxembourg
Portugal
Estonia
Slovakia
Czech R
epublic
Poland
Rom
ania
Slovenia
Hungary
Lithuania
Latvia
Croatia
0
5
10
15
20
25
30
35
40
% ra
ised
blo
od p
ress
ure
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions: Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
52
Women, 2015
United Kingdom
Belgium
Malta
Netherlands
Sweden
Finland
Spain
Denm
ark
Greece
Cyprus
Germ
any
Luxembourg
France
Ireland
Austria
Italy
Portugal
Estonia
Czech R
epublic
Slovakia
Latvia
Poland
Lithuania
Hungary
Slovenia
Rom
ania
Croatia
0
5
10
15
20
25
% ra
ised
blo
od p
ress
ure
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions: Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
53
Raised cholesterol
Adults, 2008
Rom
ania
Greece
Croatia
Sweden
Slovakia
Czech R
epublic
Lithuania
Hungary
Latvia
Portugal
Spain
Slovenia
Estonia
Cyprus
Poland
Finland
Malta
Austria
Netherlands
France
Italy
Belgium
Ireland
United Kingdom
Denm
ark
Germ
any
Luxembourg
0
10
20
30
40
50
60
70
% ra
ised
cho
lest
erol
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A885
Definitions: % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
54
Men, 2008
Rom
ania
Croatia
Greece
Slovakia
Czech R
epublic
Lithuania
Latvia
Hungary
Estonia
Sweden
Slovenia
Portugal
Finland
Cyprus
Spain
Poland
Malta
Austria
Italy
Netherlands
France
Belgium
United Kingdom
Ireland
Denm
ark
Luxembourg
Germ
any
0
10
20
30
40
50
60
70
% ra
ised
cho
lest
erol
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A885
Definitions: % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
55
Women, 2008
Rom
ania
Greece
Sweden
Croatia
Slovakia
Czech R
epublic
Spain
Poland
Hungary
Lithuania
Portugal
Latvia
Slovenia
Cyprus
Estonia
Malta
Austria
Netherlands
Finland
Ireland
Belgium
France
United Kingdom
Germ
any
Italy
Denm
ark
Luxembourg
0
10
20
30
40
50
60
% ra
ised
cho
lest
erol
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A885
Definitions: % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
56
Raised fasting blood glucose
Men, 2014
Austria
Denm
ark
Belgium
Netherlands
Germ
any
Luxembourg
Sweden
Finland
France
Italy
United Kingdom
Ireland
Portugal
Cyprus
Spain
Greece
Croatia
Slovakia
Malta
Rom
ania
Estonia
Czechia
Latvia
Hungary
Poland
Slovenia
Lithuania
0
1
2
3
4
5
6
7
% ra
ised
fast
ing
bloo
d gl
ucos
e
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A869?lang=en
Definitions: Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
57
Women, 2014
Netherlands
Austria
Denm
ark
Belgium
Sweden
Germ
any
Finland
United Kingdom
Luxembourg
Italy
Greece
Ireland
Rom
ania
Slovenia
France
Estonia
Latvia
Slovakia
Cyprus
Croatia
Czechia
Poland
Portugal
Spain
Hungary
Lithuania
Malta
0
1
2
3
4
5
6
7
8
9
% ra
ised
fast
ing
bloo
d gl
ucos
e
References: Global Health Observatory data repository, World Health Organisation,
http://apps.who.int/gho/data/node.main.A869?lang=en
Definitions: Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
58
Diabetes prevalence
Adults, 2017
Ireland
Lithuania
Estonia
United Kingdom
Belgium
Luxembourg
Greece
France
Italy
Sweden
Latvia
Netherlands
Croatia
Finland
Poland
Austria
Denm
ark
Czech R
epublic
Spain
Slovenia
Slovakia
Hungary
Germ
any
Malta
Cyprus
Rom
ania
Portugal
0
2
4
6
8
10
% d
iabe
tes
prev
alen
ce
References: Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels,
Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org
Definitions: Diabetes age-adjusted comparative prevalence (%).
PDF created on May 26, 2021
59