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You have now worked through the whole of Topic B6 of OCR Gateway Combined Science A — health and disease, pathogens, the immune system and vaccination, developing new medicines, non-communicable disease, feeding the population and protecting the environment. This final lesson pulls it all together as one big idea: applying biology to real-world global challenges. It shows how the three strands connect, drills the data and graph skills on disease and risk factors that earn reliable marks, sharpens the correlation-versus-cause reasoning, and warns you about the misconceptions that catch students out. Treat it as a revision and exam-technique session rather than new content.
By the end you should be able to see how the three strands of B6 connect, read and describe data and graphs on disease and risk factors, reason carefully about correlation and cause, match answers to command words, and avoid the most common B6 errors.
This lesson draws together all three Assessment Objectives: AO1 (secure recall across the three B6 strands), AO2 (applying percentage-change calculations to data) and AO3 (interpreting graphs and evaluating correlation-versus-cause arguments in extended answers).
Topic B6 is best seen as three strands of a single challenge — keeping people and the planet healthy.
flowchart TD
A["Global challenges (B6)"] --> B["Human health"]
A --> C["Feeding the population"]
A --> D["Protecting the environment"]
B --> B1["Communicable disease:<br/>pathogens, immunity,<br/>vaccines, antibiotics"]
B --> B2["Non-communicable disease:<br/>risk factors, lifestyle,<br/>cardiovascular, cancer"]
C --> C1["Selective breeding + GM crops"]
C --> C2["Biotechnology + sustainable fishing"]
D --> D1["Monitoring: indicator species<br/>+ sensors"]
D --> D2["Maintaining: conservation,<br/>reforestation, less pollution"]
Notice how the strands connect: a virus (communicable) such as HPV can cause cancer (non-communicable); genetic engineering appears in both food (GM crops) and medicine (GM bacteria making human insulin); and sustainable farming and fishing link the food strand to the environment strand. Spotting these links is exactly the kind of synoptic thinking that lifts an answer.
Much of B6 — especially non-communicable disease — is tested through data: risk-factor tables, scatter graphs and bar charts of disease rates. A reliable routine works for all of them:
Consider this example set of readings for a lifestyle risk factor and the number of cases of a disease per thousand people:
| Level of risk factor | Cases per 1000 people |
|---|---|
| None | 5 |
| Low | 8 |
| Medium | 14 |
| High | 25 |
Describe the trend and quote figures. As the level of the risk factor increases, the number of cases increases, from 5 per 1000 with none to 25 per 1000 at the high level — a positive correlation.
Calculate the percentage increase from "none" to "high". Use the change divided by the starting value, times one hundred:
percentage increase=525−5×100=400%
So the high level is associated with cases 400% higher (five times as many) as no exposure.
Judge cause. This correlation alone does not prove the factor causes the disease — there could be a third factor, or coincidence. A causal conclusion also needs a plausible biological mechanism and the pattern to appear repeatedly in many studies.
Exam Tip: For a graph or table question, always describe, quote, then judge: describe the trend, quote a figure, and (if asked about cause) state that correlation does not prove cause — a mechanism and repeated evidence are needed too. This phrasing earns marks reliably.
This idea runs through the whole health strand, so make it automatic.
Exam Tip: When a graph shows a risk factor "linked" to a disease and you are asked whether it proves cause, the safe answer is no — correlation does not prove cause; you also need a mechanism and repeated evidence.
Cover the right-hand column and test yourself.
| Prompt | Answer |
|---|---|
| Definition of health | Physical, mental and social wellbeing, not merely absence of disease |
| Four types of pathogen | Bacteria, viruses, fungi, protists |
| How bacteria vs viruses make us ill | Bacteria reproduce fast + release toxins; viruses reproduce inside cells and damage them |
| Three white-blood-cell roles | Phagocytosis, antibodies (to antigens), antitoxins |
| What a vaccine contains | Dead/inactivated pathogen or its antigens |
| Antibiotics work on... | Bacteria only — not viruses (antivirals are used for viruses) |
| How resistance arises | Mutation to resistant bacteria survive and reproduce (natural selection) |
| Drugs from nature | Willow to aspirin; foxglove to digitalis; Penicillium to penicillin (Fleming) |
| Drug-testing order | Cells/tissues to animals to healthy volunteers to patients |
| Benign vs malignant | Benign stays put; malignant invades and spreads |
| Mycoprotein source | The fungus Fusarium (grown in a fermenter) |
| Air-pollution indicator | Lichens (present = clean air) |
| Clean vs polluted water indicators | Mayfly larvae = clean; sludgeworms = polluted |
| Command word | What it asks for |
|---|---|
| State / Name / Give | A short fact, no explanation |
| Describe | Say what happens, in order, with no reasons |
| Explain | Give reasons why — use "because", "so that" |
| Compare | Give similarities and differences |
| Calculate | Work out a number — show working and give a unit |
| Suggest | Apply your knowledge to an unfamiliar context |
| Evaluate | Weigh advantages and disadvantages and reach a judgement |
Exam Tip: B6 has many evaluate questions (e.g. on vaccination, GM crops or heart-disease treatments). An evaluate answer must give points on both sides and end with a conclusion or judgement.
Students often lose marks by writing the wrong kind of answer — describing when asked to explain, or listing one side when asked to evaluate. The table below shows how the same piece of B6 knowledge is answered differently depending on the command word.
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