Data & Applications of Lifestyle Disease (OCR GCSE Biology A (Gateway Science Suite)): Flashcards
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Practise the cards
15 cards from this deck
What are lifestyle diseases?
What are lifestyle diseases?
NCDs caused by unhealthy habits like poor diet & smoking
3 lifestyle diseases tracked by data
3 lifestyle diseases tracked by data
Heart disease, diabetes, obesity
Risk factor for type 2 diabetes
Risk factor for type 2 diabetes
High sugar intake
3 impacts of lifestyle diseases measured
3 impacts of lifestyle diseases measured
Healthcare costs, productivity loss, system burden
Purpose of public health campaigns using data
Purpose of public health campaigns using data
Reduce lifestyle disease incidence via targeted interventions
Example: Data-driven policy to reduce sugar consumption
Example: Data-driven policy to reduce sugar consumption
Taxes on sugary drinks
Policy to reduce tobacco consumption
Policy to reduce tobacco consumption
Restricting tobacco advertising
Healthcare response to rising cardiovascular disease
Healthcare response to rising cardiovascular disease
Direct resources to preventative care & treatment
Data use in long-term healthcare planning
Data use in long-term healthcare planning
Forecast future healthcare needs
R&D use of lifestyle disease data
R&D use of lifestyle disease data
Develop new treatments & prevention strategies
Education tool in anti-smoking campaigns
Education tool in anti-smoking campaigns
Statistics on smoking & lung cancer link
4 visual forms for lifestyle disease data
4 visual forms for lifestyle disease data
Bar charts, histograms, scatter diagrams, frequency tables
Define correlation in data
Define correlation in data
When two variables are linked
Define causation in data
Define causation in data
When one variable directly causes another
Example of correlation vs causation
Example of correlation vs causation
High-fat diets linked to heart disease; need to identify causal mechanism