2.3.4Organisation
Data and Applications of Lifestyle Disease
5 min read 9 parts Lesson 14 of 19 Unit quiz
Section 1 of 9Risk factors
Definition
- Definition A risk factor is something that increases the chance of a person developing a disease.
Lifestyle factors
- Lifestyle factors Diet, smoking, alcohol, exercise levels and obesity.
- These are linked to heart disease, type 2 diabetes, some cancers and liver disease.
Other factors
- Other factors Age, inherited genes and the environment also play a part; they are not all in our control.
- Some of these, such as age and inherited genes, cannot be changed, while lifestyle choices can be.
Multiple causes
- Multiple causes Most non-communicable diseases are caused by several factors that interact, so removing one factor lowers risk but may not remove it.
Section 2 of 9Correlation or cause?
1Pattern spotted
- Pattern spotted Data show that as one variable changes, the other changes too, for example higher body mass index and more cases of diabetes.
2Correlation only
- Correlation only A link does not prove that one factor causes the other, because a third factor could be responsible for both.
3Mechanism found
- Mechanism found A cause is accepted when scientists can explain how, and the effect appears in other studies.
Section 3 of 9Examples with evidence
| Risk factor | Disease | Explanation |
|---|---|---|
| Obesity | Type 2 diabetes | Cells respond poorly to insulin |
| Smoking | Lung disease, cancer, heart disease | Tar and carcinogens damage cells and arteries |
| Alcohol | Liver disease | Liver cells are damaged by toxins |
| Saturated fat | Heart disease | Fatty deposits narrow the arteries |
Section 4 of 9Reading data
1
Check the sample size: larger samples give more reliable results.
2
Check the sample is representative of the population, for example in age and sex.
3
Look for other factors that might explain the pattern.
4
Compare percentages or rates, not raw numbers, if group sizes differ.
5
State whether the evidence supports a link, then whether it shows a cause.
Section 5 of 9Worked example with data
| Group | People studied | Cases of heart disease | Rate |
|---|---|---|---|
| Non-smokers | 2000 | 100 | 5% |
| Smokers | 500 | 75 | 15% |
| Conclusion | Smokers have three times the rate, so smoking is linked to heart disease |
Section 6 of 9Costs of non-communicable disease
Impact
Human cost
- Human cost Reduced quality of life and early death, with strain on family members who become carers.
Financial cost
- Financial cost Treatment, medicines and lost working days for the health service and employers.
Prevention
- Prevention Education, healthy food and exercise programmes are cheaper than treatment.
Limits of prevention
- Limits of prevention Some people cannot change their risk, for example because of age or inherited genes, so treatment is still needed.
Section 7 of 9Reducing the risk
Individual choices
- Individual choices Stopping smoking, eating a balanced diet, taking regular exercise and drinking less alcohol each lower the chance of developing disease.
Government action
- Government action Public health campaigns, food labelling, taxes on tobacco and bans on smoking in public places encourage healthier behaviour.
Costs and benefits
- Costs and benefits Prevention costs money in advance, but it saves lives and reduces long-term treatment costs.
Section 8 of 9Key terms
| Term | Meaning |
|---|---|
| Risk factor | A characteristic or behaviour that raises the likelihood of a disease. |
| Correlation | A relationship between two variables. |
| Causal link | A relationship where a change in one factor produces a change in another. |
| Non-communicable disease | A disease that cannot be passed from person to person. |
| Carcinogen | A substance that can cause cancer. |
| Representative sample | A group that reflects the make-up of the whole population being studied. |
Section 9 of 9Exam technique
1
Stating that a correlation proves a cause.
2
Saying a risk factor means a person will definitely get the disease.
3
Ignoring sample size when judging evidence.
4
Thinking diseases such as cancer are always caused by a single factor.
5
Comparing raw numbers when the groups are different sizes.