report card: tuvalu - world obesity federation global obesity … · report card tuvalu 1 contents...
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Report cardTuvalu
1
Contents Page
Obesity prevalence 2
Insufficient physical activity 3
Average daily frequency of carbonated soft drink consumption 9
Prevalence of less than daily fruit consumption 10
Prevalence of less than daily vegetable consumption 11
Average weekly frequency of fast food consumption 12
Mental health - depression disorders 13
Mental health - anxiety disorders 14
Raised blood pressure 15
Raised fasting blood glucose 18
Diabetes prevalence 20
-
Obesity prevalence
Children, 2013
Children Boys Girls0
10
20
30
40
50
Obesity Overweight
%
Survey type: Self-reported
Age: 13-15
Sample size: 943
Area covered: National
References: Global School-based Student Health Survey Factsheet, available at
https://www.who.int/ncds/surveillance/gshs/2013_Tuvalu_Fact_Sheet.pdf?ua=1 (last accessed 14.12.20)
Cutoffs: WHO
2
https://www.who.int/ncds/surveillance/gshs/2013_Tuvalu_Fact_Sheet.pdf?ua=1
-
Insufficient physical activity
Adults, 2016
Niue
Vanuatu
Cam
bodia
Samoa
China
Papua New
Guinea
Laos
Fiji
Tonga
Tahiti
Solomon Is.
Cook Islands
Mongolia
Vietnam
Brunei D
arussalam
Tuvalu
Australia
South Korea
Japan
Singapore
Micronesia
Malaysia
Philippines
Kiribati
Palau
Nauru
New
Zealand
Marshall Is.
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
3
http://dx.doi.org/10.1016/S2214-109Xhttp://dx.doi.org/10.1016/S2214-109X
-
Men, 2016
Vanuatu
Niue
Samoa
Tonga
Cam
bodia
Cook Islands
Fiji
Papua New
Guinea
Laos
Solomon Is.
Tahiti
China
Tuvalu
Mongolia
Vietnam
Brunei D
arussalam
Australia
Palau
South Korea
Philippines
Micronesia
Japan
Singapore
Kiribati
Malaysia
Nauru
Marshall Is.
New
Zealand
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
4
http://dx.doi.org/10.1016/S2214-109Xhttp://dx.doi.org/10.1016/S2214-109X
-
Women, 2016
Niue
Vanuatu
Cam
bodia
China
Samoa
Papua New
Guinea
Mongolia
Laos
Tahiti
Solomon Is.
Fiji
Tonga
Cook Islands
Vietnam
Australia
Brunei D
arussalam
Japan
Tuvalu
Singapore
Micronesia
South Korea
Malaysia
New
Zealand
Kiribati
Philippines
Nauru
Marshall Is.
Palau
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
5
http://dx.doi.org/10.1016/S2214-109Xhttp://dx.doi.org/10.1016/S2214-109X
-
Children, 2016
Singapore
Mongolia
PalauKiribati
Cook Islands
Fiji Solomon Is.
ChinaLaos
TongaMalaysia
VietnamNauru
Brunei Darussalam
SamoaTuvalu
NiueVanuatu
New Zealand
Australia
Cambodia
Philippines
South Korea
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)
6
https://apps.who.int/gho/data/node.main.A893ADO?lang=en
-
Boys, 2016
Singapore
Mongolia
PalauCook Islands
LaosKiribati
ChinaMalaysia
Fiji Brunei Darussalam
Solomon Is.
VietnamNauru
New Zealand
TuvaluNiue
VanuatuTonga
Australia
SamoaCambodia
South Korea
Philippines
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)
7
https://apps.who.int/gho/data/node.main.A893ADO?lang=en
-
Girls, 2016
PalauSingapore
Mongolia
TongaSolomon Is.
KiribatiFiji Samoa
Cook Islands
NiueTuvalu
VanuatuChina
NauruVietnam
LaosAustralia
Malaysia
New Zealand
Cambodia
Brunei Darussalam
Philippines
South Korea
0
20
40
60
80
100
% 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)
8
https://apps.who.int/gho/data/node.main.A893ADO?lang=en
-
Average daily frequency of carbonated soft drink consumption
Children, 2010-2015
KiribatiVietnam
Mongolia
Malaysia
Cambodia
VanuatuPhilippines
LaosSolomon Is.
Brunei Darussalam
TuvaluCook Islands
SamoaTonga
Wallis & Futuna
Niue0
0.5
1
1.5
2
Tim
es p
er d
ay
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
9
https://doi.org/10.1177/0379572119848287http://www.foodsystemsdashboard.org/food-system
-
Prevalence of less than daily fruit consumption
Children, 2010-2015
VanuatuFiji Vietnam
Cook Islands
SamoaMalaysia
Solomon Is.
Philippines
LaosWallis & Futuna
TongaTuvalu
NiueBrunei Darussalam
KiribatiCambodia
NauruMongolia
0
10
20
30
40
50
60
% <
dai
ly c
onsu
mpt
ion
Survey type: Measured
Age: 12-17
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)
10
https://doi.org/10.1177/0379572119848287.http://www.foodsystemsdashboard.org/food-system
-
Prevalence of less than daily vegetable consumption
Children, 2010-2015
VietnamFiji Malaysia
Solomon Is.
Philippines
TongaLaos
Cambodia
Mongolia
VanuatuCook Islands
SamoaNiue
Brunei Darussalam
TuvaluNauru
KiribatiWallis & Futuna
0
10
20
30
40
50
% <
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)
11
https://doi.org/10.1177/0379572119848287http://www.foodsystemsdashboard.org/food-system
-
Average weekly frequency of fast food consumption
Children, 2010-2015
Cambodia
VietnamLaos
Malaysia
Philippines
NiueKiribati
TuvaluBrunei Darussalam
VanuatuCook Islands
Mongolia
TongaSolomon Is.
Wallis & Futuna
Samoa
0
0.5
1
1.5
2
2.5
Tim
es p
er w
eek
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
12
https://doi.org/10.1177/0379572119848287http://www.foodsystemsdashboard.org/food-system
-
Mental health - depression disorders
Adults, 2015
Solomon Is.
Papua New Guinea
KiribatiMicronesia
TuvaluLaos
SamoaTonga
Philippines
Cambodia
Fiji Malaysia
Brunei Darussalam
VietnamSouth Korea
ChinaJapan
Mongolia
Singapore
New Zealand
Australia
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
13
http://ghdx.healthdata.org
-
Mental health - anxiety disorders
Adults, 2015
VietnamChina
JapanLaos
Philippines
Solomon Is.
Cambodia
KiribatiPapua New Guinea
TuvaluFiji Micronesia
Mongolia
SamoaTonga
Brunei Darussalam
Singapore
South Korea
Australia
Malaysia
New Zealand
0
1
2
3
4
5
6
7
% 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
14
http://ghdx.healthdata.org
-
Raised blood pressure
Adults, 2015
South Korea
Singapore
Australia
New
Zealand
Japan
Brunei D
arussalam
China
Nauru
Marshall Is.
Kiribati
Fiji
Solomon Is.
Cook Islands
Philippines
Malaysia
Palau
Vietnam
Tonga
Tuvalu
Samoa
Niue
Vanuatu
Laos
Micronesia
Papua New
Guinea
Cam
bodia
Mongolia
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).
15
http://apps.who.int/gho/data/node.main.A875?lang=en
-
Men, 2015
South Korea
Singapore
Australia
New
Zealand
Solomon Is.
China
Brunei D
arussalam
Fiji
Japan
Marshall Is.
Nauru
Kiribati
Philippines
Vanuatu
Laos
Cook Islands
Vietnam
Papua New
Guinea
Malaysia
Tonga
Palau
Niue
Tuvalu
Cam
bodia
Micronesia
Samoa
Mongolia
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).
16
http://apps.who.int/gho/data/node.main.A875?lang=en
-
Women, 2015
South Korea
Singapore
Australia
Japan
New
Zealand
Brunei D
arussalam
China
Nauru
Marshall Is.
Kiribati
Cook Islands
Palau
Fiji
Malaysia
Philippines
Samoa
Tuvalu
Vietnam
Tonga
Niue
Micronesia
Solomon Is.
Vanuatu
Laos
Cam
bodia
Mongolia
Papua New
Guinea
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).
17
http://apps.who.int/gho/data/node.main.A875?lang=en
-
Raised fasting blood glucose
Men, 2014
Australia
Japan
Vietnam
New
Zealand
Singapore
South Korea
Cam
bodia
Philippines
China
Laos
Brunei D
arussalam
Malaysia
Mongolia
Papua New
Guinea
Solomon Is.
Vanuatu
Fiji
Marshall Is.
Palau
Kiribati
Micronesia
Tuvalu
Tonga
Samoa
Cook Islands
Niue
Nauru
0
5
10
15
20
25
% 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).
18
http://apps.who.int/gho/data/node.main.A869?lang=en
-
Women, 2014
Vietnam
Australia
Philippines
Cam
bodia
Laos
New
Zealand
Japan
Brunei D
arussalam
South Korea
Singapore
China
Malaysia
Mongolia
Solomon Is.
Papua New
Guinea
Vanuatu
Fiji
Micronesia
Marshall Is.
Tonga
Kiribati
Samoa
Tuvalu
Palau
Niue
Cook Islands
Nauru
0
5
10
15
20
25
30
% 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).
19
http://apps.who.int/gho/data/node.main.A869?lang=en
-
Diabetes prevalence
Adults, 2019
Mongolia
Singapore
Australia
Japan
Vietnam
New
Zealand
Cam
bodia
Laos
South Korea
Philippines
China
Samoa
Micronesia
Vanuatu
Nauru
Brunei D
arussalam
Fiji
Tonga
Malaysia
Palau
Papua New
Guinea
Solomon Is.
Tahiti
Tuvalu
Kiribati
Marshall Is.
0
5
10
15
20
25
30
% d
iabe
tes
prev
alen
ce
Age: 20-79
References: Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium:
2019. Available at: https://www.diabetesatlas.org
Definitions: Diabetes age-adjusted comparative prevalence (%).
PDF created on June 30, 2021
20
https://www.diabetesatlas.org