obesity and the economics of food choice

27
Obesity and the economics Obesity and the economics of food choice of food choice Adam Drewnowski, PhD Adam Drewnowski, PhD Director, Center for Public Health Nutrition Director, Center for Public Health Nutrition Director, UW Center for Obesity Research Director, UW Center for Obesity Research Professor of Epidemiology and Adj. Prof. Medicine Professor of Epidemiology and Adj. Prof. Medicine School of Public Health and Community Medicine School of Public Health and Community Medicine University of Washington University of Washington Food and Health Session, July 9, 2008 Food and Health Session, July 9, 2008 Population Health Congress, July 7 Population Health Congress, July 7-9, 2008, Brisbane, Australia 9, 2008, Brisbane, Australia Is obesity an economic issue? Is obesity an economic issue?

Upload: others

Post on 09-Feb-2022

2 views

Category:

Documents


0 download

TRANSCRIPT

1

Obesity and the economics Obesity and the economics of food choiceof food choice

Adam Drewnowski, PhDAdam Drewnowski, PhDDirector, Center for Public Health NutritionDirector, Center for Public Health NutritionDirector, UW Center for Obesity ResearchDirector, UW Center for Obesity Research

Professor of Epidemiology and Adj. Prof. MedicineProfessor of Epidemiology and Adj. Prof. MedicineSchool of Public Health and Community MedicineSchool of Public Health and Community Medicine

University of WashingtonUniversity of Washington

Food and Health Session, July 9, 2008Food and Health Session, July 9, 2008Population Health Congress, July 7Population Health Congress, July 7--9, 2008, Brisbane, Australia9, 2008, Brisbane, Australia

Is obesity an economic issue?Is obesity an economic issue?

2

Food choices

Convenience

Variety

Obesity

How people choose foodsHow people choose foods

Energy density

Health

Taste

Cost

First questionFirst question

What is energy density of foods?What is energy density of foods?

•• Energy density defined as MJ/kgEnergy density defined as MJ/kg•• Energy values from databaseEnergy values from database•• Energy density is the Energy density is the inverseinverse of water of water

content content

3

0

10

20

30

40

0 10 20 30 40 50 60 70 80 90 100water content (g/100g)

Ener

gy d

ensi

ty (M

J/kg

)

Fats Sweets Grains

grains

butter

oil

Energy density (MJ/kg) depends on thewater content of foods

Soft drinks

0

10

20

30

40

0 10 20 30 40 50 60 70 80 90 100water content (g/100g)

Ener

gy d

ensi

ty (M

J/kg

)

Meat Dairy

meats

Energy density (MJ/kg) depends on thewater content of foods

cheese

milk

4

0

10

20

30

40

0 10 20 30 40 50 60 70 80 90 100water content (g/100g)

Ener

gy d

ensi

ty (M

J/kg

)

Vegetables Fruit

Potato chips

Energy density (MJ/kg) depends on thewater content of foods

beans

Dry fruit

0

10

20

30

40

0 10 20 30 40 50 60 70 80 90 100w ater content (g/100g)

Ener

gy d

ensi

ty (M

J/kg

)

Fats Sweets Grains Vegetables Fruit Meat Dairy

grains

butter

oil

vegetablesfruit

Potato chips

meats

Energy density (MJ/kg) depends on thewater content of foods

cheese

5

0

10

20

30

40

0 10 20 30 40 50 60 70 80 90 100w ater content (g/100g)

Ener

gy d

ensi

ty (M

J/kg

)

Fats Sweets Grains Vegetables Fruit Meat Dairy

grains

butter

oil

vegetablesfruit

Potato chips

meats

Energy density (MJ/kg) depends on thewater content of foods

cheese

Energy rich; nutrient poorEnergy rich; nutrient poor

Energy poor; nutrient richEnergy poor; nutrient rich

Food choices

Convenience

Variety

Obesity

How people choose foodsHow people choose foodsEnergy density

Health

Taste

Cost

6

Second questionSecond question

Do energyDo energy--dense foods cost less?dense foods cost less?

•• Energy density defined as kcal/100gEnergy density defined as kcal/100g•• Energy cost defined as Energy cost defined as €€/1000 kcal/1000 kcal•• Energy values from databasesEnergy values from databases•• Mean national food prices in France Mean national food prices in France

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

spreads

Log scale!

7

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

soft drinks

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

soft drinks

grains

bread

pasta

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

8

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

yogurtpasta

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

meat

pasta

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

9

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

fish/shellfish

foie gras

pasta

meat

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

fish/shellfishpasta

meat

vegetables

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

10

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

fruit

fish/shellfish

vegetables

nuts

pasta

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

fruit

fish/shellfish

vegetables

nuts

pasta

Wine/alcohol

Energy density (kcal/100g) and energy cost (Euros/1000kcal) – INCA study

11

0

2

4

6

8

10

0.01 0.1 1 10 100 1000Energy cost ($/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

sugar

desserts

milk

grainscheese

fruit

fish/shellfish

vegetables

nuts

pasta

Same price hierarchy in Seattle as in France

0

200

400

600

800

1000

0.01 0.1 1 10 100 1000Energy cost (Euros/1000kcal)

Ener

gy d

ensi

ty (k

cal/1

00g)

oil

butter

Are “junk” foods simply cheaper?

sugar

desserts

soda

grains

fruitfish

vegetables

High glycemic IndexHigh glycemic loadHydrogenated fatsTrans fatty acidsAdded sugarsAdded fatsEnergy dense foodsEmpty caloriesMinimal nutritional value

Low energy densityHigh satiating power AntioxidantsPhytochemicalsFiberCLAVitaminsMinerals

12

Third questionThird question::

Do energyDo energy--dense dense dietsdiets cost less?cost less?

•• French INCA study conducted by AFSSAFrench INCA study conducted by AFSSA•• Sample of 1,985 adults; 7Sample of 1,985 adults; 7--day food diariesday food diaries•• National prices for 650 foods supplied by National prices for 650 foods supplied by

French government (INSEE); by market French government (INSEE); by market research agencies (SECODIP)research agencies (SECODIP)

•• Diet costs estimated in Diet costs estimated in €€/d/d•• Energy cost estimated as Energy cost estimated as €€//10MJ10MJ•• This is a measure of This is a measure of monetary exposuremonetary exposure

0

10

20

30

40

50

60

70

80

90

100

0 2 4 6 8 10

Energy density (KJ/g)

Die

t cos

t (Eu

ros/

wee

k)

EI1

At each intake quintile, At each intake quintile, higher energy density = lower cost higher energy density = lower cost ((€€/wk)/wk)

INCA data 1998INCA data 1998

13

0

10

20

30

40

50

60

70

80

90

100

0 2 4 6 8 10

Energy density (KJ/g)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, higher energy density = lower cost higher energy density = lower cost ((€€/wk)/wk)

INCA data 1998INCA data 1998

0

10

20

30

40

50

60

70

80

90

100

0 2 4 6 8 10

Energy density (KJ/g)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, higher energy density = lower cost higher energy density = lower cost ((€€/wk)/wk)

EI3

INCA data 1998INCA data 1998

14

0

10

20

30

40

50

60

70

80

90

100

0 2 4 6 8 10

Energy density (KJ/g)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, higher energy density = lower cost higher energy density = lower cost ((€€/wk)/wk)

EI3

EI4

INCA data 1998INCA data 1998

0

10

20

30

40

50

60

70

80

90

100

0 2 4 6 8 10

Energy density (KJ/g)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, higher energy density = lower cost higher energy density = lower cost ((€€/wk)/wk)

EI3

EI4

EI5

INCA data 1998INCA data 1998

15

0

10

20

30

40

50

60

70

80

90

100

0 2 4 6 8 10

Energy density (KJ/g)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

A drop in dietary energy density A drop in dietary energy density means higher diet cost means higher diet cost ((€€/wk)/wk)

EI3

EI4

EI5

INCA data 1998INCA data 1998

Fourth questionFourth question::

Do nutrientDo nutrient--rich rich dietsdiets cost more?cost more?

•• French INCA study conducted by AFSSAFrench INCA study conducted by AFSSA•• Sample of 1,985 adults; 7Sample of 1,985 adults; 7--day food diariesday food diaries•• National prices for 650 foods National prices for 650 foods •• Vitamin C intakes from nutrient data baseVitamin C intakes from nutrient data base•• Diet costs estimated in Diet costs estimated in €€/d/d•• Measures of Measures of dietary dietary and and monetary monetary exposureexposure

16

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Vitamin C (mg/wk)

Die

t cos

t (Eu

ros/

wee

k)

EI1

At each intake quintile, At each intake quintile, More vitamin C = higher cost More vitamin C = higher cost ((€€/wk)/wk)

INCA data 1998INCA data 1998

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Vitamin C (mg/wk)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, More vitamin C = higher cost More vitamin C = higher cost ((€€/wk)/wk)

INCA data 1998INCA data 1998

17

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Vitamin C (mg/wk)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, More vitamin C = higher cost More vitamin C = higher cost ((€€/wk)/wk)

EI3

INCA data 1998INCA data 1998

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Vitamin C (mg/wk)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, More vitamin C = higher cost More vitamin C = higher cost ((€€/wk)/wk)

EI3EI4

INCA data 1998INCA data 1998

18

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Vitamin C (mg/wk)

Die

t cos

t (Eu

ros/

wee

k)

EI1

EI2

At each intake quintile, At each intake quintile, More vitamin C = higher cost More vitamin C = higher cost ((€€/wk)/wk)

EI3EI4

EI5

INCA data 1998INCA data 1998

Fifth question:Fifth question:

Are lowAre low--cost energycost energy--dense diets dense diets preferentially consumed by low preferentially consumed by low

income persons?income persons?

19

The relation between food, health and The relation between food, health and income is nothing newincome is nothing new

Engel’s Law (1867) Engel’s Law (1867) As incomes rise, so do food expenditures As incomes rise, so do food expenditures –– but the but the shareshare

spent on food declinesspent on food declines

USDA’s Economic Research Service Food Review, 23, 2000

Boyd Orr: UK 1937

0

5

10

15

20

25

30

35

40

<10 10-15. 15-20 20-30 30-40 40-50 50-70 >70

USDA 2000

20

Foods as luxury goods: Foods as luxury goods: Boyd Orr 1937Boyd Orr 1937

FruitFruit

FishFish

VegetablesVegetables PotatoesPotatoes

SugarSugar

BreadBread

Lard, suetLard, suetMeatMeat

56

58

60

62

64

66

68

70

0-50 51-100 101-130

131-200

201-299

300

Income as % of poverty Education (years)

HEI

sco

re 1

994-

96

56

58

60

62

64

66

68

70

<12 12 to 16 16 >16

More education and income = better diets More education and income = better diets (USDA/CNPP data cited in (USDA/CNPP data cited in DrewnowskiDrewnowski & Specter, 2004)& Specter, 2004)

The USDA Healthy Eating Index (HEI) is a measure of diet quality

21

Are food costs the key?Are food costs the key?Are poverty and obesity linked by the low cost of energyAre poverty and obesity linked by the low cost of energy--

dense foods?dense foods?

Drewnowski & Specter, Am J Drewnowski & Specter, Am J ClinClin NutrNutr 2004;79:62004;79:6--1616

Can living in the wrong neighborhood make you fat?

22

Median incomes in King CountyKing County Census Tracts 2000 aggregated by zip codes

Fewer Starbucks more fast foods in South County

Data source: Washington State Geospatial Archive

!

!

!

!

!

!

! !!

!!

!

!

!

!

!

!!

! !

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!!

!

!

!

!

!!

!

!

!

!

! !

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

! !

! !

!! !

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

! !

!

!

!

!

!

!

!

!

LegendNumber of Fast Food Rest Per Mile

2.83

1.0

0

Fast foods

Starbucks

23

Density of grocery stores in Seattle-King County, WA

LegendKernel Density of Grocery Stores

2

0.8

0

Data source: Washington State Geospatial Archive, Corporate Websites and United States Census Bureau

Density of convenience stores in Seattle-King County, WA

!! !!

!!

!!! !

!

!

!

!!

! !!!!!

!!

!!!

!

!

!

!

!

!!

!! !!! !

!!! !!!

!!!

!!

!!

!!!

!!

!

!

!!

! !

!

!!!

!

!

!

!

!!!!

!!

! !!! !! !!!!!! !

!!!!

! !!

! !!! !! !

!!! ! !

! !!! !! !!!! !! !! !! !!! ! !!

! ! !!!!!

! !!

! !! ! ! !!! !!

!!!!!

!! !!! ! !! !! !!

!! !! !

!!! ! !! ! !!! !! !! !!!

!!!!

!! !!

! !! !

!!!

!

!!

!!

!!!!!

!!

!

!!

!! !!!

!

!!!

!

!!

!

!

!!

! !! !

!!!

!!! !

!

!!

!

!!!!

! !!!

! !! !

!

!!!! !

!!

!

!

!

!!!

!!

!!

! !

!

!!

!

!!

!!

!

!! !! !! ! !! ! !

!!

! !

! !

!! !

!! !!!!

!

!

!

!! !!

!

!

! !! ! !

!!!

!!! !!! ! !!! ! !!! ! !!!!! !

! ! !!!!!! !! ! ! !!! ! !!!

!!!!!!

LegendNumber of Conv Stores Per Mile

2.7

1.5

0

Data source: Washington State Geospatial Archive

24

Obesity rates by zip code (BRFSS data)

King County Zip CodesDiab Related Deaths per 100,000 (1999-2003)

28 - 39.9

40 - 59.9

60 - 89.9

90 - 120

Insufficient Sample (<50)

Water

Obesity

Diabetes deaths

Zip CodeObesity Prevalence

4.3 - 8.7

8.71 - 13.1

13.11 - 17.79

17.8 - 22.29

22.3 - 28.3

No Data

Obesity rates and real estate

BRFSS data aggregated from 1999-2002, Courtesy of PHSKC Planning and Evaluation

Burien, 98168: Median house value $143,500 Obesity rate 24.9%

$172,950

Madison Park and Capitol Hill, 98112: Median house value $466,000 Obesity rate 5.9%

$1.8 million

Bellevue, 98005: Median house value $343,400 Obesity rate 5.1%

$745,000

Kent, 98031: Median house value $182,900, Obesity rate 23.1%

$150,000

25

Obesity rates and SEP (as measured by real estate)

R2 = 0.3928

0

5

10

15

20

25

30

100000 150000 200000 250000 300000 350000 400000 450000 500000

Median House Value (2000)

Perc

ent O

bese

by

Kin

g C

o Zi

p C

ode

Data source: PHSKC Planning and Evaluation Unit and United States Census Bureau

Seven-fold disparities in diabetes-related mortality rates by zip code

0

50

100

150

200

250

300

Age-

Adju

sted

Dia

bete

s-R

elat

ed M

orta

lity

Rat

e

Regionwide rate

050

100

150

Dia

bete

s R

elat

ed M

orta

lity

100000 200000 300000 400000 500000 600000Median Home Value

Assoc b/w Diab Related Mortality and Neighborhood Wealth

R2=0.42

Data from WA State death certificatesCourtesy of PH-SKC, Tacoma/Pierce Co Health Dept; Snohomish Health District

26

Food choices

Convenience

Cost

Variety

Obesity

A complex storyA complex story

PleasureEnergy density

Health

Taste

Nutrient-dense foods cost more

High quality diets cost more

Rich people exercise more

Rich people are thin

Rich people have more resources

Rich people eat more costly diets

So what led to obesity?Poverty or excess ____ food?

Obesity: biology, behavior, society – and economics

Grains, fats, sugars cost less

Energy-dense diets cost less

Obese people eat unhealthy diets

Poor people have few resources

Poor people exercise less

Poor people are obese

Poor people eat cheaper diets

Thin people eat healthier diets

27

Are the people of the UK Are the people of the UK inexorably becoming inexorably becoming

heavier simply by living in heavier simply by living in the Britain of today?the Britain of today?

The Foresight Report: Tackling Obesities: Future ChoicesThe Foresight Report: Tackling Obesities: Future Choices