ets finland edited final version sept 03
TRANSCRIPT
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Childrens Exposure to
Environmental Smoke / InvoluntarySmoking in Developing Countries:
Current Situation and Implications
for Health and Development
Enis Bar
andAyda A. Yrekli
World Bank,
Washington, D.C.
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Outline
Overview
Health effects
Determinants of ETS
Review of evidence on determinantsfrom developing countries
Estimation of exposure to ETS by level
of income and regionsRecommendations
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Determinants of ETS Exposure
The intensity of exposure
The number of smokers
The extent of cigarette consumption
The behavior of smokers
Legislation that restricts smoking inpublic and work places and its
enforcement.
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In Developing Countries
Same negative health effects
But of different magnitude due to variation in the relative importance of exposure
determinants, mostly smoking behavior
legislation
prevailing social norms and ecology, and
as a result of different health and socioeconomic impact
in terms of health consequences (nutrition, co-morbidity)
healthcare costs
absenteeism
societal response (tolerance, compliance, complacency, etc)
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Intensity of ExposureNumber of smokers around the globe
2000
Number of Smokers by Income Groups
17%11%
44%
27%
0
100
200
300
400
500
600
LI LMI UMI HI#ofsmoker
s,Million
1.2 billion smokers globally
83% of global smokers (956 million)
live in developing countries Prevalencerate (in 90s)
Male Female
Bangladesh 40 10
Turkey 59 26
Vietnam 73 4
Pakistan 36 9
China 63 4
Indonesia 63 2
Russia 63 14
Philippines 75 18
Egypt 43 5
Prevalence rate in selected
developing countries
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Intensity of ExposureGlobal Cigarette Consumption 2000
In 2000, 6.2 Trillion Cigarettes Smoked Worldwide.
Developing Countries Smoked 74% of Global Cigarette
Consumption (4.6 Trillion Cigarettes)
Global cigarette consumption
6260 billion pieces
26%
10%
44%
21%
0
500
1000
1500
2000
2500
3000
LI LMI UMI HI
Billi on of cigarettes and % share i n the globe
Consumption
(mil. pieces)
% global
share
LI 1295 21
LMI 2733 43
UMI 613 10
HI 1619 26
Total 6260 100
China 1688 27
India 947 15
LI w/o India 348 6
LMI w/o China 1045 17
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Intensity of Exposure
Daily SmokeDaily 11 to 21 sticks smoked by
smokers
Daily cigarette consumption per smoker in 2000
11
1412
21
0
5
10
15
20
25
LI LMI UMI HI
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Smokerssmoking behavior:
Evidence from Indonesia 1995National Health Survey 1995
# of Total HH 31,126,882
# of HH member 109,154,973
# of smoker 38,652,636# of smoker smoke
at home 36,888,636
Average
HH member 3.51
Smoker per HH 1.24Smoker smoke at home 1.18
# of cigarettes smoked/day 11
pieces
Estimated ETS Exposure% of smokers smoke at home 95.4%
Average non-smoker per household 2.26
% of HH members exposed to ETS 65%
Source: Authors estimate based on National Health Survey data, 1995
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Smokerssmoking behavior:
Evidence from Turkey
% of smokers who smoke at home and in front of
children in Ankara, Turkey
90%97%
87% 84%100%
63%
85%
60%49%
77%
Teachers Mothers Journalist Physicians Parliamentarians
At home Front of children
Source: Bilir, N et al. 1997. Smoking behavior and attitudes, Ankara, Turkey
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High ETS Exposure Among 13-15 Year Olds in
Selected Low and Low-middle Income
Countries
% children exposed % children exposed
LMI At
home
At public
places
At
home
At public
places
Indonesia 69 84 China 54 51
Philippines 58 75 India 59 67
Jordan 67 61 Nepal 36 47
Russia 55 73 Nigeria 34 50
Bolivia 46 62 Sri Lanka 56 68
Venezuela 44 48 Ukraine 49 72
Uruguay 64 79 Zimbabwe 35 58
Source: GYTS Survey Data, 1999-00-01
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Smoking restrictions in various
places
Countries HCFacilities
EducationFacilities
Buses Waitingareas
Entertainmentcenters
Shoppingcenters
China B B B B B B
Philippines N N N N N N
Thailand B D B D B B
Iran B B B B B B
Turkey D D D D D D
Poland D D N D D D
Indonesia B B D N N N
Nigeria B B B N N N
Malaysia B B B B B B
B: banned, N: None, D: Designated areas
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Source of Data
Nations: Prevalence rates
USDA: Cigarette consumption
WBI: Children and adult population
GYTS: ETS exposure among 13-15 y of age
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Percentage of 1.8 billion children
aged 0-14 years living in
developing countries, 2000
0-14 yrs old
population
(mil)
% share in
total pop.
% share in
global child
population
Low Income 842 37% 47%
Low Middle Income 628 27% 35%
Upper Middle Income 172 29% 10%
High Income 162 18% 9%
LI and LMI 1,471 32% 82%
All Developing 1,642 33% 91%
Developed 162 18% 9%
Total 1,805 31% 100%
Source: WBI and Authors calculation
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Children (0-14 years old ) and ETS exposureSelected countries with the highest child population
and ETS exposure, 2000
Total (0-14
age) child
pop. (Million)
% share in
global 0-14
age child
population
% of ETS Exposure 13-
15 years old students
Home Public
Places
India 340 18.9 59 67China 314 17.4 54 51
Indonesia 65 3.6 9 84
Pakistan 58 3.2 N/A N/A
Nigeria 57 3.2 34 50
Philippines 28 2.6 58 75
Vietnam 26 1.5 N/a N/a
Russia 26 1.4 55 73
Total 994 55 N/A N/A
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Top 10 countries w/highest child population
and ETS exposure
0-14 age
population
% share in
global 0-14
age
% of 13-15 age exposed to
ETS
Home Public
India 340 18.9 59 67
China 313 17.4 54 51
Indonesia 65 3.6 69 84
Pakistan 58 3.2 N/A N/ANigeria 57 3.2 34 50
Bangladesh 51 2.8 N/A N/A
Ethiopia 29 2.6 N/A N/A
Philippines 28 2.6 58 75
Vietnam 26 1.5 N/A N/A
Russia 26 1.4 55 73
Total 0-14 pop.(top 10) 944 55.0
Global 0-14 pop. 1805
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Over 900 million children living in
developing world were exposed to ETS
in 2000.
Source: World Bank Estimation
Number of Children (0-14 age) exposed to ETS at
home and public places, 2000
(Million)
461
365
99
925
379
371
84
834
LI
LMI
UMI
TOTAL
# exposed at public places # exposed at home
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Percentage of children 0-14y of age
exposed to ETS at home in developing
countries, 2000
Income
Groups
# of exposed
children at home
in developing
world (million)
% share
within
income
group
% share in
developing
world
% share
globally
LI 380 48% 23% 21%
LMI 371 55% 22% 20%
UMI 84 44% 5% 4%
Total 837 46%
Source: Authors calculation
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Percentage of children 0-14y of age
exposed to ETS in public places in
developing countries, 2000
Income
Groups
# of exposed
children in public
places in
developing world(million)
% share
within
income
group
% share in
developing
world
% share
globally
LI 461 59% 28% 26%
LMI 365 53% 21% 20%
UMI 99 57% 7% 6%
Total 925 51%
Authors calculation
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Top 10 UMI countries with the highestnumber of children exposed to ETS at
home and public placesRegion Country # of children
exposed to ETS
at home (mil)
# of children
exposed to ETS in
public places (mil)
LAC Brazil 25 32
LAC Mexico 17 21
ECA Turkey 12 11
AFRICA S. Africa 6 8
LAC Argentina 5 7
EAP Korea Rep. 5 6
ECA Poland 5 5
MENA S. Arabia 5 6
LAC Venezuela 4 5
EAP Malaysia 4 5
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Top 10 LMI countries with the highest
number of children exposed to ETS at
home and public placesRegion Country # of children
exposed to ETS
at home (mil)
# of children
exposed to ETS in
public places (mil)
EAP China 171.0 166.0
EAP Indonesia 35.2 34.2
SA Pakistan 32.2 21.9
MENA Iran 16.0 14.6
EAP Philippines 15.4 15.0
MENA Egypt 15.2 13.9
ECA Russia 14.4 18.9
EAP Thailand 8.8 8.6
MENA Morocco 6.7 6.1
MENA Iraq 6.5 5.9
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Top 10 LI countries with the highest
number of children exposed to ETS at
home and public placesRegion Country # of children
exposed to ETS
at home (mil)
# of children
exposed to ETS in
public places (mil)
SA India 199.0 227.8
SA Bangladesh 29.7 34.0
AFRICA Nigeria 18.4 27.6
EAP Vietnam 14.0 13.3
AFRICA Ethiopia 9.3 14.0
EAP Myanmar 8.5 8.1
AFRICA Congo Dem.Rep. 8.0 12.0
SA Afghanistan 6.8 7.7
MENA Yemen 5.9 3.6
SA Nepal 5.5 6.3
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Results
91% of global children aged 0-14 years live in
developing world.83% of global smokers (956 million) live in developing
countries.
In 2000, developing countries smoked 74% of global
cigarette consumption (4.6 trillion cigarettes).
Lower number of cigarettes smoked per capita.
Still high rate of ETS exposure at homes and public
places:
Over 800 million children are exposed to ETS at homes and
900 million in public places in developing countries.
Most smokers still smoke near non-smokers and/or in
front of children.
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Conclusion: Policy Implications
Implementation of Framework Convention onTobacco Control, including legislative initiativesinclusive of ETS;
Higher taxes, especially where price elasticity is
higher; andInvolvement of professional associations (teachers,doctors, police force), womens groups, athletes, etcto mobilize social elites to challenge and changeprevailing social norms and enforce existing laws andordinances.
More comprehensive public health action, bundledwith IAP and other initiatives.
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Conclusion: Research Implications
There is a need to:
Identify culture-specific determinants of ETSamenable to interventions, including risk perceptionand communication;
Pilot innovative programs involving role models
(teachers, mothers, athletes, etc.) and targetinghome environments;
Estimate ETS attributable burden of disease andhealth care costs in developing countries;
Document and cost non-health related effects ofETS, e.g. absenteeism from school, work, etc; and
Seek synergism with other development issues suchas IAP due to coal, biomass use, etc.