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Summary SNAB 1.2 who is at risk of cardiovascular disease $5.18
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  2.  
  3. PEARSON (PEARSON)
  4.  
  5. Biology 2008
  6.  
  7. Unit 1 - Lifestyle, Transport, Genes and Health

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Summary SNAB 1.2 who is at risk of cardiovascular disease
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  • Course
  • Unit 1 - Lifestyle, Transport, Genes and Health
  • Institution
  • PEARSON (PEARSON)
  • Book
  • Salters-Nuffield AS/A level Biology Student Book 1 ActiveBook

I am currently an A level student and completed the AS exams last year. I know how difficult it is to revise from the textbook so I have made concise notes on the first 4 sub topics of topic 1, including relevant diagrams from the textbook. I will make more if I gain interest! Good luck :)

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  • No
  • Topic 1
  • December 26, 2017
  • 1
  • 2016/2017
  • Summary

Subjects

  • biology
  • topic 1
  • snab
  • help
  • revision
  • salters nuffield
  • lifestyle
  • pearson
  • exam

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  • A/AS Level
  • PEARSON (PEARSON)
  • Biology 2008
  • Unit 1 - Lifestyle, Transport, Genes and Health
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1.2: Who is at risk of cardiovascular disease?
Probability and risk:
 What do we mean by risk?
i) Risk= ‘the probability of occurrence of some unwanted event or outcome’

Different types of risk factor:
 Risk factors= ‘things that increase the chance of a negative outcome’
 Different factors that contribute to health risks: age; hereditary; physical
environment; social environment; lifestyle and behaviour choices

Identifying risk factors-correlation and causation
 to determine risk factors for particular diseases, scientists look for correlations
between potential risk factors and the occurrence of the disease
 correlation= between two variables when a change in one variable is accompanied by
a change in the other
 Two variables= positively correlated when an increase in one is accompanied by an
increase in the other {vice-versa for negative with decrease in both}
 Large amounts of data are needed to ensure the correlation is statistically significant
 A correlation between two variables doesn’t mean that they are causally linked
 Two variables are causally linked when a change in one is responsible for a change in
the other
 Scientists use the logical gap between causation and correlation to carry out
experiments to see if altering one variable has a predicted effect
ii) To do this a null hypothesis is set up
iii) Assume that there will be no difference between an experimental group and a
control group and they then test this using statistical analysis

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