Case Control Studies

Case Control Studies
Definition
Studying infrequent events, such as death from cancer,
using randomized clinical trials or other controlled
prospective studies requires that large populations be
tracked for long periods in order to observe disease
development. Case-control studies use patients who
already have a disease or other condition and look back
to see if there are characteristics of these patients that
differ from those who don’t have the disease. The casecontrol
study provides a much cheaper and quicker
study of risk factors. If the evidence found is convincing
enough, then resources can be allocated to more “credible”
and comprehensive studies. The case-control study
begins with the identification of an outcome or effect
and a number of potential causative factors. A group
of cases which exhibit the outcome under investigation
is selected. A number of control subjects (or controls)
who do not exhibit the outcome or effect under investigation
are then chosen. These controls should match the
cases as closely as possible with respect to the non-risk
variables; this allows the proposed non-risk variables to
be ignored in the analysis. Sometimes more than one
control group is used. The case and control groups are
then compared for the proposed causal factors, and statistical
analysis is used to estimate the strength of association
of each factor with the studied outcome.
Case-control studies are a valuable investigative tool,
providing rapid results at low cost, but caution should
be exercised unless results are confirmed by other, more
robust evidence.

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Body Mass Index (BMI)

Body Mass Index (BMI)
Definition
Body mass index is defined as the individual’s body
weight divided by the square of the individual’s height
(kg/m2). The BMI is used for classifying underweight,
overweight and obesity in adults. The BMI is a simple
metric that relates weight and height. If an adult
for example weighs 75kg and its height is 1.80m, the
BMI will be 23.1. The cut-off points as defined by the
WHO are <18.50 for underweight, 18.50–24.99 for normal
range, 25.00–29.99 for overweight and ≥30 for
obese. Those BMI values are age- and sex-independent
in general, yet the BMI might not correspond to a similar
degree of fatness in different populations. There are
different health risks related with an increasing BMI,
e. g. type 2 diabetes and cardiovascular disease.

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Autochthonous Population

Autochthonous Population
Synonyms
Natives; Original inhabitants
Definition
Autochthonous population is a general and more neutral
term for natives or original inhabitants of a country
or region. The term ‘autochthonous’ is used to avoid
static ideas implied in terms like ‘native’ or ‘original’.
The terms ‘allochthonous’ population and ‘immigrants’
can be seen as synonyms. The difference between
autochthonous and allochthonous populations is not
absolute – it is a relative one. The difference depends
on both context and time, combined with a range of
variables (e. g., ideas of origin, legal status, social inclusion
and status, ethnic or racial background, religion) in
a specific national or regional context.

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Age-Specific Fertility Rate (ASFR)

Age-Specific Fertility Rate (ASFR)
Definition
Age-Specific Fertility Rate (ASFR) represents the
annual number of births to women in a particular age
group per 1000 women in that age group. It is used
for comparisons in fertility behavior at different ages,
fertility at different ages over time and fertility across
countries or populations.

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Adjusted Rates

Adjusted Rates
Definition
Adjusted rates are summary measures of the rate of
morbidity or mortality in a population in which statistical
procedures have been applied to remove the effect of
differences in composition of the various populations.
There are two methods for the adjustment of rates: the
direct method and the indirect method. Direct and indirect
refer to the source of the rates.
Cross-References
 Standardized Rate

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