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Obesity and the Economics of Prevention
Franco Sassi PhD
Professor of International Health Policy and Economics, Imperial College Business School
Senior Health Economist – OECD
Nordic Welfare States and Public Health – Helsinki, 16th November 2016
Child Obesity:
a Top Health Challenge for Europe
21%
Of children in
OECD-Europe are
overweight or
obese
0%
10%
20%
30%
40%
50%
boys girls
Prevalencerate
44%
38%
15%
11%
But in some
countries this
figure is much
higher
Child obesity in OECD-Europe
Source: OECD, Health at a Glance
Disadvantaged Children up to
2.5 Times More Likely to Be Obese
1,0
1,5
2,0
2,5
3,0
Boys Obesity Girls Obesity Boys Obesity Girls Obesity
France England
Riskofobesitycomparedtohigher-SES
For each category, columns are ordered, left to the right, in decreasing order of SES
Highest level of SES as reference (i.e. equals to 1)
Source: OECD, Fit not Fat, 2010
Intergenerational transmission
Boys and girls with at least one obese parent
are more likely to be obese
Source: OECD, Health Working Paper 45, 2009
4
1
2
3
4
England France
Riskofchildhoodobesity
accordingtoparentalobesity
Boys Girls
The Crisis Has Worsened
the Quality of Nutrition
Source: OECD, 2014 Obesity Update
• Recession have exacerbated
unhealthy behaviours in
vulnerable groups
• Families decreased food
expenditure and shifted to
cheaper calories
• The financial crisis is increasing
inequalities in obesity and health
• Food insecurity associated to 22%
higher probability of child obesity
-8%
-4%
0%
4%
Growth rate 1st Q 2014 - Italy
The Cost of Obesity
0% 1% 2% 3% 4% 5% 6% 7%
US
Portugal
New Zealand
Canada
Germany
Australia
France
% of healthcare budget
Roux & Donaldson, 2004
Konnopka, Bodemann, Konig, 2011
What Policy Makers Needs to Know
• Does prevention improve health?
• Does it reduce health expenditure?
• Does it improve health inequalities?
• Is it cost-effective?
• When will it produce its effects?
Prevention Saves Lives…
West-central Europe (EUR-A)
0 100 000 200 000 300 000 400 000 500 000
physician-dietician counselling
fiscal measures
physician counselling
food labelling
worksite interventions
food advertising regulation
school-based interventions
food adverting self-regulation
mass media campaigns
Disability-adjusted life years Life years
1 LY/DALY every 115/121 people
1 LY/DALY every 12/10 people
Source: OECD, Health Working Paper 48
But Interventions Targeting Children
Take Time (England)
0
2 000
4 000
6 000
8 000
10 000
0 10 20 30 40 50 60 70 80 90 100
DALYs(permillionpopulation)
Time (years)
worksite
interventions
mass media
campaigns
fiscal measures
food
advertising
regulation
food labelling
Source: OECD, Fit not Fat, 2010
Financial Impacts
-50
50
150
250
350
450
550
Cost(billion$PPP)
intervention costs health expenditure
School-based Interventions More Effective
in Lower-SES Children
0
200
400
600
800
1000
1200
Personspermillionpopulation
high SES low SES
On average, school-based
interventions have a
Effects on life expectancy by SES
Effect on children from lower
income groups compared to
individuals from higher
income groups
14%
HIGHER
Source: OECD, Health Working Paper 48
EU School-Fruit Scheme Effectively
Promotes Healthier Diets
0% 20% 40% 60% 80% 100%
FR
IR
NL
AT
ES
DE
IT
BE
PT
BG
RO
EL
SK
EE
LU
SI
CZ
LT
PL
HU
LV
MT
DK
Participating target group children
• Main target group: children
aged 6-10 (up to high-school in
some countries)
• Children are offered F&V and
other side activities (e.g. farm
visits, gardening)
• An educational component
(e.g. pedagogical kits) is
usually included
• Similar effectiveness in
children of different SES (Bere et
al., 2010)
A Multi-Stakeholder Approach
Reducing Trans Fat in Children’s Food - Korea
• Collaboration between
industry, universities,
research institutes and
government
• Content of trans fat to be
compulsory on the label of
child food products
• Government (KFDA)
provides R&D support for
the industry
0,0
0,4
0,8
1,2
Biscuits Chocolate Snacks
Trans fats per serving (g)
before
after
Source: OECD, Fit not Fat, 2010
Food Taxes
• Commodity taxes generally used to:
a. Raise revenues
b. Compensate for external costs
• Argument in favour less clear-cut than for, e.g.,
tobacco and alcohol
• Common arguments against:
a. Insensitive demand
b. Regressive effects
Country1 Nutrient/Product taxed
Denmark (2011-12) Saturated fat content
Denmark Sugar- and artificially-sweetened beverages, sweets, ice cream,
chocolate
Finland Sugar- and artificially-sweetened beverages, confectionary, chocolate,
ice cream
France Sugar- and artificially-sweetened beverages, energy drinks
Hungary Sugar-sweetened beverages, energy drinks, salty snacks, biscuits, ice
cream, chocolate
Ireland (1916-92) Sugar- and artificially-sweetened beverages
Mexico Sugar-sweetened beverages, high-calorie processed foods
Norway Sugar- and artificially-sweetened beverages, chocolate, sugar
Berkeley, United
States
Sugar-sweetened beverages
Food taxes in OECD countries
1.Currently in place unless otherwise stated.
What Impact? Effects in Mexico
Source: Colchero et al., BMJ, 2016
What Impact?
1. UK study (Ng et al., Br J Nutr, 2012) estimated a
price elasticity of about -0.5
2. United States (Zhen et al., Amer J Agr Econ, 2013):
own price elasticity of about -1
3. US: half cent per ounce tax would reduce average
BMI by about 0.2 in 10 years
4. Average BMI has grown by 0.2-0.4 points every 10
years in recent decades
5. Will the tax be regressive?
Distributional Impacts
Household expenditure by income quintiles
0%
5%
10%
15%
20%
25%
Food at home Food away from home
UK US
In US a 10% fat tax on
diary products would
weigh 10 times more on
household with an
income of $20,000
(0.24%) than on those
with an income of
$100,000 (0.024%)
(Chouinard et al., 2007)
This may amount to a
difference of $19 vs.
$23 per year for a SSB
tax
(Zhen et al., 2013)
%averagehouseholdincome
Key Messages
• Child obesity is a top health priority; less well off children suffer
the majority of the burden
• Prevention is an effective and cost-effective way to improve
population health, decrease health expenditure and improve
inequalities
• Interventions targeting children are effective but produce results
in the medium- to long- term
• Comprehensive strategies combining actions on different target
groups provide best results
• Multi-stakeholder approaches have challenges but offer
opportunities

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Franco Sassi: Obesity and the Economics of Prevention

  • 1. Obesity and the Economics of Prevention Franco Sassi PhD Professor of International Health Policy and Economics, Imperial College Business School Senior Health Economist – OECD Nordic Welfare States and Public Health – Helsinki, 16th November 2016
  • 2. Child Obesity: a Top Health Challenge for Europe 21% Of children in OECD-Europe are overweight or obese 0% 10% 20% 30% 40% 50% boys girls Prevalencerate 44% 38% 15% 11% But in some countries this figure is much higher Child obesity in OECD-Europe Source: OECD, Health at a Glance
  • 3. Disadvantaged Children up to 2.5 Times More Likely to Be Obese 1,0 1,5 2,0 2,5 3,0 Boys Obesity Girls Obesity Boys Obesity Girls Obesity France England Riskofobesitycomparedtohigher-SES For each category, columns are ordered, left to the right, in decreasing order of SES Highest level of SES as reference (i.e. equals to 1) Source: OECD, Fit not Fat, 2010
  • 4. Intergenerational transmission Boys and girls with at least one obese parent are more likely to be obese Source: OECD, Health Working Paper 45, 2009 4 1 2 3 4 England France Riskofchildhoodobesity accordingtoparentalobesity Boys Girls
  • 5. The Crisis Has Worsened the Quality of Nutrition Source: OECD, 2014 Obesity Update • Recession have exacerbated unhealthy behaviours in vulnerable groups • Families decreased food expenditure and shifted to cheaper calories • The financial crisis is increasing inequalities in obesity and health • Food insecurity associated to 22% higher probability of child obesity -8% -4% 0% 4% Growth rate 1st Q 2014 - Italy
  • 6. The Cost of Obesity 0% 1% 2% 3% 4% 5% 6% 7% US Portugal New Zealand Canada Germany Australia France % of healthcare budget Roux & Donaldson, 2004 Konnopka, Bodemann, Konig, 2011
  • 7. What Policy Makers Needs to Know • Does prevention improve health? • Does it reduce health expenditure? • Does it improve health inequalities? • Is it cost-effective? • When will it produce its effects?
  • 8. Prevention Saves Lives… West-central Europe (EUR-A) 0 100 000 200 000 300 000 400 000 500 000 physician-dietician counselling fiscal measures physician counselling food labelling worksite interventions food advertising regulation school-based interventions food adverting self-regulation mass media campaigns Disability-adjusted life years Life years 1 LY/DALY every 115/121 people 1 LY/DALY every 12/10 people Source: OECD, Health Working Paper 48
  • 9. But Interventions Targeting Children Take Time (England) 0 2 000 4 000 6 000 8 000 10 000 0 10 20 30 40 50 60 70 80 90 100 DALYs(permillionpopulation) Time (years) worksite interventions mass media campaigns fiscal measures food advertising regulation food labelling Source: OECD, Fit not Fat, 2010
  • 11. School-based Interventions More Effective in Lower-SES Children 0 200 400 600 800 1000 1200 Personspermillionpopulation high SES low SES On average, school-based interventions have a Effects on life expectancy by SES Effect on children from lower income groups compared to individuals from higher income groups 14% HIGHER Source: OECD, Health Working Paper 48
  • 12. EU School-Fruit Scheme Effectively Promotes Healthier Diets 0% 20% 40% 60% 80% 100% FR IR NL AT ES DE IT BE PT BG RO EL SK EE LU SI CZ LT PL HU LV MT DK Participating target group children • Main target group: children aged 6-10 (up to high-school in some countries) • Children are offered F&V and other side activities (e.g. farm visits, gardening) • An educational component (e.g. pedagogical kits) is usually included • Similar effectiveness in children of different SES (Bere et al., 2010)
  • 13. A Multi-Stakeholder Approach Reducing Trans Fat in Children’s Food - Korea • Collaboration between industry, universities, research institutes and government • Content of trans fat to be compulsory on the label of child food products • Government (KFDA) provides R&D support for the industry 0,0 0,4 0,8 1,2 Biscuits Chocolate Snacks Trans fats per serving (g) before after Source: OECD, Fit not Fat, 2010
  • 14. Food Taxes • Commodity taxes generally used to: a. Raise revenues b. Compensate for external costs • Argument in favour less clear-cut than for, e.g., tobacco and alcohol • Common arguments against: a. Insensitive demand b. Regressive effects
  • 15. Country1 Nutrient/Product taxed Denmark (2011-12) Saturated fat content Denmark Sugar- and artificially-sweetened beverages, sweets, ice cream, chocolate Finland Sugar- and artificially-sweetened beverages, confectionary, chocolate, ice cream France Sugar- and artificially-sweetened beverages, energy drinks Hungary Sugar-sweetened beverages, energy drinks, salty snacks, biscuits, ice cream, chocolate Ireland (1916-92) Sugar- and artificially-sweetened beverages Mexico Sugar-sweetened beverages, high-calorie processed foods Norway Sugar- and artificially-sweetened beverages, chocolate, sugar Berkeley, United States Sugar-sweetened beverages Food taxes in OECD countries 1.Currently in place unless otherwise stated.
  • 16. What Impact? Effects in Mexico Source: Colchero et al., BMJ, 2016
  • 17. What Impact? 1. UK study (Ng et al., Br J Nutr, 2012) estimated a price elasticity of about -0.5 2. United States (Zhen et al., Amer J Agr Econ, 2013): own price elasticity of about -1 3. US: half cent per ounce tax would reduce average BMI by about 0.2 in 10 years 4. Average BMI has grown by 0.2-0.4 points every 10 years in recent decades 5. Will the tax be regressive?
  • 18. Distributional Impacts Household expenditure by income quintiles 0% 5% 10% 15% 20% 25% Food at home Food away from home UK US In US a 10% fat tax on diary products would weigh 10 times more on household with an income of $20,000 (0.24%) than on those with an income of $100,000 (0.024%) (Chouinard et al., 2007) This may amount to a difference of $19 vs. $23 per year for a SSB tax (Zhen et al., 2013) %averagehouseholdincome
  • 19. Key Messages • Child obesity is a top health priority; less well off children suffer the majority of the burden • Prevention is an effective and cost-effective way to improve population health, decrease health expenditure and improve inequalities • Interventions targeting children are effective but produce results in the medium- to long- term • Comprehensive strategies combining actions on different target groups provide best results • Multi-stakeholder approaches have challenges but offer opportunities