2. Be able to evaluate the design of studies
used to determine health risk factors,
including sample selection and sample size
used to collect data that are both valid and
reliable.
Know how factors such as genetics, age and
gender increase the risk of CVDs
3. Sample size must be bigger (number of
people involved)
Investigate one variable, keep other variable
constant(control).
Some are carried out over a long time
(longitudinal study)
Ex. Munster Heart Study – 10856 men, 36-65
ages, Europe; Framingham Study – many
similar American citizens.
4. Metadata analysis - When data from all the
available studies in a particular area are
analysed
5.
6.
7.
8. These studies are excellent resource when
investigating whether there is a genetic factor at
work, any differences between them is
environmental.