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3.2.9Exchange and Transport

Risk Factor Data — AQA A Level Biology 7402 Revision Notes & Topical Questions

5 min read 9 parts Lesson 18 of 48 1 quiz

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3.2.9 Risk Factor Data — AQA A Level Biology 7402 notes: Interpret data on risk factors for lung disease and other conditions, distinguishing risk from certainty and evaluating the quality of evidence.A risk factor is a variable that is associated with an increased probability of…

  • Exam-style question 1
  • Exam-style question 2
  • Exam-style question 3
  • Absolute risk
  • Relative risk
  • Peer review

Section 1 of 9What is a risk factor?

A risk factor is a variable that is associated with an increased probability of developing a disease.

What is a risk factor?
It does not mean that the disease will definitely occur.
Risk factors for lung disease include smoking, air pollution, occupational exposure to asbestos or coal dust, genetic factors such as alpha-1 antitrypsin deficiency,
  • and a history of infection.
Many diseases have several interacting factors, some modifiable (smoking) and some not (age, genes).

When you describe a risk factor in an answer, always give its direction (increases or decreases the chance), compare with a reference group, and then add the qualification that the factor raises the probability but does not guarantee the outcome. Protective factors, such as regular exercise or vaccination, are described in the same way, with a reduced probability.

Section 2 of 9Expressing risk

MeasureMeaningExample
Absolute riskProbability of disease in a group2 per 1000 per year
Relative riskRisk in exposed ÷ risk in unexposedSmokers' risk is 10 times higher
OddsNumber with disease ÷ number withoutUsed in case-control studies

A large relative risk may mean very little if the absolute risk is tiny; for example doubling a risk from 1 in 100 000 to 2 in 100 000 is still very rare. Always consider both.

Section 3 of 9Reading graphs of risk

1
Dose-response: when risk rises steadily with the amount of exposure, it supports a causal link.
2
Time since quitting: risk of lung cancer decreases gradually after stopping smoking.
3
Age-specific incidence: rates generally increase with age, so compare groups of the same age.
4
Look at sample size, the period of data collection and whether the groups were matched.

When asked to compare two sets of figures, always perform a calculation, such as converting to rates per 1000 so that different sample sizes can be compared fairly.

Section 4 of 9Quality of evidence

Evidence is more reliable when it is drawn from a large randomly chosen sample, collected by repeatable, standardised methods, and published in a peer-reviewed journal after checking by other experts. Be cautious about studies funded by an organisation with a vested interest, small samples, short time spans, or self-reported information. Findings gain credibility when they are replicated by independent groups.

Section 5 of 9Social and ethical dimensions

Data on risk influence public policy

  • bans on smoking in public places, taxes on tobacco, clean-air zones and labelling.
  • Individuals decide on their behaviour by weighing risk against benefit, though perception of risk is often influenced by personal experience rather than numbers.
  • Scientists must report uncertainty honestly.

Some questions give a statement of risk in words and ask you to interpret it.

Social and ethical dimensions
A good strategy is to rewrite it as a number.
"Smokers are 20 times more likely to develop lung cancer" is a relative risk of 20, but the actual probability depends on the starting risk.
If non-smokers have a 0.1% lifetime risk, smokers have about a 2% risk,
  • so most smokers still do not develop lung cancer, although their risk is much greater.

Section 6 of 9Lifestyle, genetic and environmental risk factors

Risk factors are often grouped into categories to help organise answers.

CategoryExamplesCan it be changed?
LifestyleSmoking, diet, exercise, alcoholYes, by choice
EnvironmentalAir pollution, radon gas, asbestos at workPartly, by regulation and protective equipment
GeneticAlpha-1 antitrypsin deficiency, family historyNo, but screening can help
BiologicalAge, sex, previous infectionsNo
Lifestyle, genetic and environmental risk factors
Diseases are normally multifactorial.
  • A person with a genetic predisposition who smokes is at far greater risk than either factor alone would suggest,
  • because the factors interact.
  • Alpha-1 antitrypsin normally inhibits the enzyme elastase;
    • people lacking it are at an increased risk of emphysema,
  • which is worse with smoking.
Data on risk factors help to target public health measures.
  • Examples include screening for lung cancer in heavy smokers, workplace limits on dust, stop-smoking support and the promotion of vaccination.
  • The effectiveness of such measures can be evaluated by comparing the incidence of disease before and after the measure.
When describing a trend in a population, take care to distinguish incidence (new cases) from prevalence (all existing cases) and mortality (deaths).
  • A new treatment may increase the prevalence of a disease because patients live longer, even though incidence has not changed.

Section 7 of 9Exam-style questions

  1. In group A, 45 of 3000 people develop COPD. In group B, 18 of 1500 develop COPD. Calculate the incidence per 1000 for each group and state which has the higher risk. [3]3 marks

  2. A newspaper claims that a pollutant 'doubles the risk of asthma'. Suggest why this statement may be misleading. [2]2 marks

  3. Suggest two features of a study that make its findings more reliable. [2]2 marks

Section 8 of 9Key terms

TermMeaning
Risk factorA factor associated with an increased likelihood of disease.
Absolute riskProbability of an event occurring in a group.
Relative riskRatio of risk in exposed and unexposed groups.
IncidenceNumber of new cases in a population in a time period.
Peer reviewEvaluation of research by independent experts before publication.
Dose-responseRelationship in which effect changes with exposure level.

Section 9 of 9Exam technique

1
Saying a risk factor definitely causes the disease.
2
Comparing raw numbers of cases from groups with different sizes.
3
Ignoring absolute risk when given a relative risk.
4
Forgetting that some risk factors (age, genes) cannot be changed.
5
Assuming that published means free of bias.

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