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Determinants of health and disease. Cesar Victora Universidade Federal de Pelotas Washington, June 2002. Structure of presentation. Populations and individuals Approaches to understanding determinants of health and disease Life-course approaches Challenges for the future.

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Determinants of health and disease l.jpg

Determinants of health and disease

Cesar Victora

Universidade Federal de Pelotas

Washington, June 2002


Structure of presentation l.jpg
Structure of presentation

  • Populations and individuals

  • Approaches to understanding determinants of health and disease

  • Life-course approaches

  • Challenges for the future


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Determinants of health and disease

Models of disease causation


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Sick individuals and

sick populations

G. Rose, 1985


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Determinants of individual cases

measured through relative risk

depend on heterogeneity of exposure

may miss most important causes if highly prevalent

Determinants of population incidence rates

identified through ecologic comparisons of exposure and disease distributions

Sick individuals and sick populationsG. Rose, 1985


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Mosley-Chen analysis

Mosley and Chen, 1983


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Social sciences approach

emphasis on distal determinants

political and ideological structure

socioeconomic status

behavioral factors

Biological sciences approach

emphasis on proximate determinants

water/sanitation

environment

immunity

genetic factors

etc

Traditional approaches to understanding determination of health status

Mosley and Chen, 1983


Biological sciences approaches l.jpg

Unicausality

one germ, one disease

around 1900

Agent/ host/ environment interaction

1930’s-1940’s

the agent alone has limited explanatory power

Multicausality

1960’s

each disease may have several different causes

“web of causation”

Genomic era

1990’s

renewed emphasis on individual susceptibility

Biological sciences approaches


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Emphasis on individuals

No hierarchy among causes

No discussion of the causes of causes

Emphasis on finding technological solutions (“magic bullets”)

Effective for controlling many diseases

vaccine preventable diseases

micronutrient deficiencies

etc

Biological sciences approaches


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Mosley-Chen model for child health

Mosley and Chen, 1983


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McMahon et al, 1960: Epidemiologic Methods

  • Introduced concept of “web of causation”

  • Advice:

    • abandon semantic exercises aimed at hierarchic classification of causes

    • seek the necessary causes most amenable to practical intervention and nearest to the specified outcome


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Epidemiology and the web of causation: has anyone seen the spider?

  • Models do not exist independent of theories

  • The underlying model of the causal web is biomedical individualism

    • the logical solutions are biomedical interventions at individual level

  • Web approach

    • gives equal weight to factors that are hierarchically different

    • does not differentiate between determinants at individual and population level

Source: Krieger N, 1994


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Health Inequality Research in Latin America and Caribbean

Almeida, Kawachi, Pellegrini, Dachs (in press)


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Health Inequality Research in Latin American Countries

Almeida, Kawachi, Pellegrini, Dachs (in press)


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Scandinavian countries

Gini’s index =0.25

World’s 10 most unequal countries

Gini’s index

for income

concentration

UNDP 2001


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Emphasis on population level determinants

Structural factors (economic, political and social) are the main determinants of health status

social class

Mixed reliance on empirical and quantitative approaches

Latin American scientific production is almost “invisible” in North America and Europe (Breilh, 1995)

The Latin American Social Epidemiology Movement


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AInequity continues to be the leading health problem in the Americas”

Pan-American Health Organization (1998).

Leading Pan-American Health.

Washington: PAHO (Official Document no. 287).


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Determinants of health and disease

A model for child health


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ADVOCACY

POLITICAL ACTION

Distal/socioeconomic

Income Land Tenure

Parental Education Employment, etc

Intermediate/environmental

Intermediate/behavioral

Water, sanitation

Housing

Indoor pollution

Crowding

Food availability

COMMUNITY-LEVEL

INTERVENTIONS

Risk behaviors

Preventive behaviors

Careseeking

Home management

of disease

SERVICES

DELIVERY

Proximate/biological

Nutritional status

Disease incidenceDisease severity

Child health/disease

Economic structure

Political and ideological superstructure

Macroenvironment

Government

policies and

actions

Non-health-sector

interventions

Health-sector

interventions

preventive

curative

Global power relations

International trade

and investments

Globalization

GENETIC

FACTORS



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IMR and land tenure: 1960-94advocacy



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1. Unit of aggregation 1960-94

Global

National

State/provincial

Community

Household

Family

Individual


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The different levels of inequities 1960-94

  • “An association between socioeconomic deprivation and ill-health has been found wherever and whenever it has been looked for”(Sir Douglas Black, 2001)

  • “and at whatever level of aggregation it has been investigated”


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Distal/socioeconomic 1960-94

Income Land Tenure

Parental Education Employment, etc

Intermediate/environmental

Intermediate/behavioral

Water, sanitation

Housing

Indoor pollution

Crowding

Food availability

Risk behaviors

Preventive behaviors

Careseeking

Home management

of disease

Proximate/biological

Nutritional status

Disease incidenceDisease severity

Child health/disease

2. Level of determination

Individual


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In summary 1960-94

  • Studies of determinants of health must address different levels of aggregation

    • populations

    • sub-populations

    • individuals

  • Hierarchies between levels and among determinants are important

  • Multiple disciplines are required for a thorough understanding of health determinants

  • Actions to improve health must address different levels of determination


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Determinants of health and disease 1960-94

The life-course approach


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The 1982 Pelotas Birth Cohort Study 1960-94

  • Population-based cohort of 6,000 children

  • Follow up from birth to 19 years

  • Probably longest and largest birth cohort from a developing country


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1982 Birth Cohort 1960-94

1982

2000


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Field work in 1960-94

Pelotas,

1980’s


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Cohort visits 1960-94





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Summary of early findings on socioeconomic inequities, 1982-86

  • Children from low income families had the worst health indicators, except for

    • caesarean sections

    • overweight



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Risk factors for chronic diseases in 2000 (boys) 1982-86

MONTHLY INCOME (US$)

All P<0.01, except * (0.1>P>0.05)




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Mean birthweight of children of adolescents, according to mother’s birthweight, 1982

3259 g

n=406

P<0.001

2922 g



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The catch-up dilemma mother’s birthweight, 1982


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Hospital admissions (1985) according to growth in 1982-84 (0-20 months)

P<=0.03

Victora, Barros et al (IJE 2001)


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Mortality from 20-59 months according to growth in 1982-84 (0-20 months)

Based on

10 deaths,

P=0.045

Victora, Barros et al (IJE 2001)


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Obesity and overweight in 18-year-old boys according to growth from 0-20 months

P<0.001

Victora, Barros et al (IJE 2001)


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Asthma: growth from 0-20 monthsthe Hygiene Hypothesis


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Asthma prevalence in 18-year-old boys by income in 1982 growth from 0-20 months

P=0.01

Lima, Victora et al (in press)


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Risk factors in childhood growth from 0-20 monthsreduce asthma in adolescence

Analyses adjusted for socioeconomic

confounders; all P<0.05

Lima, Victora et al (IJE 2001)


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Summary of life-course results from Pelotas growth from 0-20 months

  • Inequities by late adolescence are complex due to the nutrition and epidemiologic transitions

  • Risk factors in pregnancy and childbirth tend to repeat themselves in subsequent generations

  • Risk factors for infectious diseases in early life may protect against chronic diseases later on


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Conclusions growth from 0-20 months


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Future challenges growth from 0-20 months

  • Understanding the interplay of population and individual level determinants

    • the role of context

    • multi-level analyses

  • Studying disease determinants in a changing world

    • need for more life-course studies in LDC’s

  • Translating knowledge into action

    • developing both a scientific and an advocacy agenda

    • interacting with the communities to which we belong


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End growth from 0-20 months


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