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““ADDRESSING SOCIAL ADDRESSING SOCIAL DETERMINANTS OF HEALTHDETERMINANTS OF HEALTH””
Commission on Social Commission on Social Determinants of HealthDeterminants of Health
Michael MarmotMichael Marmot
WHO SEARODelhi
15th September 2005
Health is not only (primarily?) a Health is not only (primarily?) a matter of medical carematter of medical careSocial and political circumstances Social and political circumstances affect life and wellaffect life and well--being and, hence, being and, hence, healthhealthTherefore all policies should be Therefore all policies should be framed with regard to their effect on framed with regard to their effect on health and health inequity.health and health inequity.Major unsolved problems of Major unsolved problems of inequalities in health among and inequalities in health among and within countries.within countries.
Policy ApproachPolicy Approach
Early life development and educationEarly life development and education–– Including comprehensive primary careIncluding comprehensive primary carePeople of working agePeople of working age–– Working and living conditionsWorking and living conditionsEconomic and social conditions of older Economic and social conditions of older peoplepeople
“…WANT IS ONE ONLY OF FIVE GIANTS ON THE ROAD OF RECONSTRUCTION AND IN SOMEWAYS THE EASIEST TO ATTACK.THE OTHERS ARE DISEASE, IGNORANCE, SQUALOR ANDIDLENESS.”
Beveridge Report
WANT
SQUALORDISEASE
IGNORANCE
IDLENESS
“Winning it (freedom from want) needscourage and faith and a sense of nationalunity: courage to face facts and difficulties…;faith…in the ideals of fair play and freedom;a sense of national unity overriding theinterests of any class or section.”
Beveridge Report p.172
Presentation Outline Basic needsBasic needsAction as if people matteredAction as if people matteredHealth as the driverHealth as the driver‘‘Causes of the causesCauses of the causes’’Putting it into actionPutting it into action
Presentation Outline Basic needsBasic needsAction as if people matteredAction as if people matteredHealth as the driverHealth as the driver‘‘Causes of the causesCauses of the causes’’Putting it into actionPutting it into action
GIVING PEOPLE THE POSSIBILITY TO GIVING PEOPLE THE POSSIBILITY TO LEAD LIVES THAT THEY HAVE LEAD LIVES THAT THEY HAVE REASON TO VALUEREASON TO VALUE
INEQUALITIES BETWEEN INEQUALITIES BETWEEN COUNTRIESCOUNTRIES
UNDER 5 MORTALITY RATE PER UNDER 5 MORTALITY RATE PER 1000 LIVE BIRTHS1000 LIVE BIRTHS
SIERRA LEONESIERRA LEONE 316316
BOLIVIABOLIVIA 8080
KYRGYZSTANKYRGYZSTAN 6363
SRI LANKASRI LANKA 2020
ICELANDICELAND 33
SOURCE: THE WORLD HEALTH REPORT 2004,WHO
% PROBABILITY OF DYING BETWEEN % PROBABILITY OF DYING BETWEEN AGES 15 AND 60 (males)AGES 15 AND 60 (males)
LESOTHOLESOTHO 90.290.2RUSSIARUSSIA 46.946.9BOLIVIABOLIVIA 2626SRI LANKASRI LANKA 23.823.8COLOMBIACOLOMBIA 23.623.6PAKISTANPAKISTAN 22.722.7SWEDENSWEDEN 8.38.3
SOURCE: THE WORLD HEALTH REPORT 2004,WHO
OBESITY PATTERNS ACROSS OBESITY PATTERNS ACROSS THE DEVELOPING WORLDTHE DEVELOPING WORLD
35.2 32.1 26.6 36 37.919.4 26.7
24.46.4 12.4
12.432.1
6
31.8
01020304050607080
Mexicomales
Brazilmales
Brazilfemales
Egyptmales
Egyptfemales
S. Africamales
S. Africafemales
25<BMI<30 BMI>30
%
(Popkin, Development Policy Review, 2003)
THE PREVALENCE OF DIABETES AND THE PREVALENCE OF DIABETES AND CARDIOVASCULAR DISEASE IS RISING CARDIOVASCULAR DISEASE IS RISING EXPONENTIALLY IN DEVELOPING EXPONENTIALLY IN DEVELOPING COUNTRIESCOUNTRIES
INDIA INDIA -- DIABETESDIABETES
Prevalence of diabetes: Prevalence of diabetes: 2000: 32 million2000: 32 millionProjected prevalence of diabetes: Projected prevalence of diabetes: 2030: 79 million2030: 79 million
Source: WHO
INDIA INDIA –– ISCHAEMIC HEART ISCHAEMIC HEART DISEASEDISEASE
PREVALENCE PREVALENCE RATE/1000RATE/1000
URBANURBAN RURALRURAL
6464 2525
Prevalence rate: 37 per 1000
Source: Indian Council of Medical Research, Assessment of Burden ofNon-communicable Disease, 2004
INEQUALITIES WITHIN INEQUALITIES WITHIN COUNTRIESCOUNTRIES
UNDER 5 MORTALITY RATES BY UNDER 5 MORTALITY RATES BY SOCIOECONOMIC QUINTILE OF HOUSEHOLDSOCIOECONOMIC QUINTILE OF HOUSEHOLD
0
50
100
150
200
Indonesia Brazil India Kenya
Poorest fifth 2nd poorest fifth Middle fifth2nd richest fifth Richest fifth
Under 5 mortalityper 1000
Victora et al 2003
Travel from the Southeast of Travel from the Southeast of downtown Washington to downtown Washington to Montgomery County Maryland. For Montgomery County Maryland. For each mile travelled life expectancy each mile travelled life expectancy rises about a year and a half. There is rises about a year and a half. There is a twenty year gap between poor a twenty year gap between poor blacks at one end of the journey blacks at one end of the journey (Male LE 57) and rich whites at the (Male LE 57) and rich whites at the other (LE 76.7)other (LE 76.7)..
GROWING INEQUALITIESGROWING INEQUALITIES
THE WIDENING TREND IN MORTALITY BY EDUCATION IN RUSSIA,1989-2001
0.4
0.45
0.5
0.55
0.6
0.65
0.7
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
Calendar year
45 p
20
elementary university
45 p20 = probability of living to 65 yrs when aged 20 yrs
Murphy, Bobak, Nicholson, Rose, and Marmot, 2005 under review
HEALTH AS A MEASURE HEALTH AS A MEASURE OF OF ‘‘SOCIAL SUCCESSSOCIAL SUCCESS’’
TWO TYPES OF SUCCESS TWO TYPES OF SUCCESS IN REDUCING MORTALITYIN REDUCING MORTALITYGrowthGrowth--mediated: if economic growth is mediated: if economic growth is widespread and participatory e.g. Hong widespread and participatory e.g. Hong Kong or S. Korea Kong or S. Korea -- poverty removal and poverty removal and public health.public health.Support led: Costa Rica, Kerala, Sri Lanka Support led: Costa Rica, Kerala, Sri Lanka -- enhanced quality of life through social enhanced quality of life through social services and education.services and education.
A.Sen: Innocenti Lecture, Florence 1995
GDP PER CAPITA AND LIFE GDP PER CAPITA AND LIFE EXPECTANCY: SELECTED COUNTRIESEXPECTANCY: SELECTED COUNTRIES
GDP PER GDP PER CAPITA (PPP CAPITA (PPP US$)US$)
LIFE LIFE EXPECTANCY AT EXPECTANCY AT BIRTH (MALES)BIRTH (MALES)
SRI LANKASRI LANKA 3,5703,570 67.267.2
COSTA RICACOSTA RICA 8,8408,840 74.874.8
RUSSIARUSSIA 8,2308,230 58.358.3
CHILECHILE 9,8209,820 73.473.4
Source: Human Development Report 2004 and World Health Report 2004
Life expectancy and GDP in $US (PPP) in 2002
LELEat birthat birth GDPGDP
JapanJapan 81.581.5 26,94026,940SwedenSweden 8080 26,05026,050SpainSpain 79.279.2 21,46021,460SwitzerlandSwitzerland 79.179.1 30,01030,010FranceFrance 78.978.9 26,92026,920GreeceGreece 78.278.2 18,72018,720UKUK 78.178.1 26,15026,150Costa RicaCosta Rica 7878 8,8408,840USUS 7777 35,75035,750CubaCuba 76.776.7 5,2595,259
DEVELOPMENT AS DEVELOPMENT AS EMPOWERMENTEMPOWERMENT
Presentation Outline Basic needsBasic needsAction as if people matteredAction as if people matteredHealth as the driverHealth as the driver‘‘Causes of the causesCauses of the causes’’Putting it into actionPutting it into action
THE SOLID FACTS: THE SOLID FACTS: 10 MESSAGES10 MESSAGES
THE SOCIAL THE SOCIAL GRADIENTGRADIENTSTRESSSTRESSEARLY LIFEEARLY LIFESOCIAL SOCIAL EXCLUSIONEXCLUSIONWORK
UNEMPLOYMENTUNEMPLOYMENTSOCIAL SUPPORTSOCIAL SUPPORTADDICTIONADDICTIONFOODFOODTRANSPORTTRANSPORT
WORK
CHILE: Social CHILE: Social programmesprogrammes for for healthhealth
Chile Chile SolidarioSolidario
Child development and wellChild development and well--beingbeing
FamilyFamily--focussed primary health carefocussed primary health care
Presentation Outline Basic needsBasic needsAction as if people matteredAction as if people matteredHealth as the driverHealth as the driver‘‘Causes of the causesCauses of the causes’’Putting it into actionPutting it into action
What good does it do to treat people's What good does it do to treat people's illnesses ...illnesses ...
then send them back to the conditions that made them
sick?
Presentation Outline Basic needsBasic needsAction as if people matteredAction as if people matteredHealth as the driverHealth as the driver‘‘Causes of the causesCauses of the causes’’Putting it into actionPutting it into action
COMPARISON OF SMOKING PREVALENCE BETWEEN HIGH COMPARISON OF SMOKING PREVALENCE BETWEEN HIGH AND LOW SOCIOECONOMIC GROUPSAND LOW SOCIOECONOMIC GROUPS
0123456789
10
India(Delhi)
China Brazil Cuba SouthAfrica
Hungary
SMOKING RATE RATIOBETWEEN LOW AND HIGH SOCIOECONOMIC GROUPS
Bobak et al in ‘Tobacco control in developing countries’ ed: Jha & Chaloupka, 2000
Presentation Outline Basic needsBasic needsAction as if people matteredAction as if people matteredHealth as the driverHealth as the driver‘‘Causes of the causesCauses of the causes’’Putting it into actionPutting it into action
Mutually reinforcing areas of work to achieve these outcomes
AdvocacyAdvocacyLearningLearningActionAction
Communication/ExchangeCommunication/Exchange
LeadershipLeadership
ACTIONACTION
GLOBAL GLOBAL COUNTRIESCOUNTRIESREGIONSREGIONSCIVIL SOCIETYCIVIL SOCIETYPEOPLEPEOPLEWORLD HEALTH ORGANIZATIONWORLD HEALTH ORGANIZATION
Diseases of Public
Health Impt
Early ChildDevelopment+ education
Women + Gender
Inequities
Urban Settings
Social Exclusion
EmploymentConditions
Globalization
Health systems
Measurement
Building Health & Health Equity
KNOWLEDGE NETWORK THEMES
What would success look like?What would success look like?
Knowledge, leadership and debateKnowledge, leadership and debate
ActionAction
Institutional changeInstitutional change
Policy changePolicy change
‘‘THE SUCCESS OF AN ECONOMY AND THE SUCCESS OF AN ECONOMY AND OF A SOCIETY CANNOT BE SEPARATED OF A SOCIETY CANNOT BE SEPARATED FROM THE LIVES THAT THE MEMBERS FROM THE LIVES THAT THE MEMBERS
OF THE SOCIETY ARE ABLE TO OF THE SOCIETY ARE ABLE TO LEADLEAD……WE NOT ONLY VALUE LIVING WE NOT ONLY VALUE LIVING
WELL AND SATISFACTORILY, BUT ALSO WELL AND SATISFACTORILY, BUT ALSO APPRECIATE HAVING CONTROL OVER APPRECIATE HAVING CONTROL OVER
OUR OWN LIVESOUR OWN LIVES’’
Amartya Sen, Development as Freedom Amartya Sen, Development as Freedom (1999)(1999)