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