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Before the dawn of the 21st Century and
before the advent of antibiotics , Public

health since aegis

has waged war against

greatest threat to mankind, Plague,

cholera & small pox and has won
convincingly …… .
Association ,Causation
Cause and effect in Epidemiology

D R D E O D AT T M S U R YAW A N S H I
(MD COMMUNITY MEDICINE ,KEM,MUMBAI )
A S S I S TA N T P R O F E S S O R
COMMUNITY MEDICINE
DSMCH
The work of epidemiology is related to
unanswered questions ,but also
unquestioned answers.
Learning Objectives
 What is Association?.
 Types of association.
 Criteria for causation.
 Uses of Epidemiology.
Association
 Find the cause of disease

 Hypothesis : two or more variables related /associated
 Proceed to measure the association between the two .
Definition of association
 Concurrence of two variables more often than would be






expected by chance.
Association does not always means casual relationship.
Measure by correlation coefficient
+ 1 to – 1
+ 1 positive correlation
- 1 negative correlation
Learning Objectives
 Theories of disease causation
 What is cause effect ?
 Criteria for causal association.
Theories of causation of disease
 Supernatural theory – Old and medieval period
 Contagion theory (miasma)- Renaissance
 Germ theory (Koch postulates)-Early 19th century
 Epidemiological triad theory

 BEINGS model
 Web of causation
 Epidemiological wheel theory
 The theory of necessary and sufficient cause.
Types of association
 Spurious association.

 Indirect association.
 Direct association.


One to one causal



Multi factorial causation
Spurious association

Total deliveries

Died

Fatality rate

Home deliveries

1000

25

2.5 %

Hospital deliveries

10,000

400

4%
Indirect association

Iodine
deficiency

High
altitude
Endemic
goiter
Sea
travel
Reddening
of gums
,bleeding
(Scurvy)
Indirect association

Vitamin def

Sea travel

Vitamin C
Reddening
of gums
,bleeding
(Scurvy)
Direct
causation
: one to one
causation
Change in one

causes change in
another variable
It is cause one to

one causal
relationship .
Cause effect

relation ship
Factor A must be

present to cause the
outcome B
Multi factorial causation

 Multiple factors can

individually cause same
disease of Interest .
Multi factorial causation
High fat
diet

 Cumulative effect of

factors causing disease
Lack of
exercise

Uncontrolled
diabetes

CHD
Criteria for judging causality
 Temporal association.

 Strength of association.
 Specificity of association.
 Consistency of association
 Biological plausibility
 Coherence of association
Criteria of causationTemporality

 The exposure variable

should precede before the
outcome.
 Temporal sequence is
maintained.
Strength of association
 How much is the association : measure


Relative risk & Odds ratio



Dose response relationship



Duration response relationship



Cessation relationship.
Specificity of association
 80 to 90 % of lung cancers are attributed to smoking
Consistency
 Studies conducted by various researchers at various

times have indicated similar cause effect phenomena
Biological plausibility
 Is the cause effect phenomena commensurate with

already known facts
 Should stand to reasoning of present day knowledge.
Coherence
 Rise in tobacco consumption has led to rise in lung

cancer deaths.
 So when smoking and tobacco consumption was

stopped ,the trend decreased.

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