B11: The Effect of Lifestyle on Non-Communicable Diseases
Causal mechanisms, correlation vs causation, and disease costs
Causal mechanisms, correlation vs causation, and disease costs
Interpreting risk data: calculate relative risk from data tables. For example, if the risk of CVD in non-obese people is 8% and in obese people is 20%, the relative risk = 20 รท 8 = 2.5. This means obese people are 2.5 times more likely to develop CVD. You may also need to interpret scatter graphs showing the relationship between BMI and disease risk โ identify whether the relationship is positive, negative, or shows no clear pattern.
Students often think only old people get CVD. Wrong: Cardiovascular disease only affects elderly people Correct: Lifestyle risk factors (smoking, poor diet, lack of exercise) accumulate over time, so CVD can develop in younger people with unhealthy lifestyles
Students often think BMI perfectly measures health. Wrong: A high BMI always means a person is unhealthy Correct: BMI has limitations โ it does not distinguish between muscle mass and fat mass, so a very muscular person may have a high BMI but low body fat
6 marks: Evaluate evidence linking obesity to type 2 diabetes and CVD.
There is strong evidence linking obesity to type 2 diabetes and cardiovascular disease. Large-scale studies consistently show a positive correlation between BMI and the incidence of both conditions โ as obesity rates increase, rates of type 2 diabetes and CVD also increase. A causal mechanism exists for type 2 diabetes: excess body fat causes insulin resistance, meaning cells do not respond effectively to insulin, so blood glucose remains high; over time, pancreatic beta cells become exhausted, leading to permanently elevated blood glucose (type 2 diabetes). For CVD, excess body fat raises blood pressure and blood cholesterol, promoting atheroma formation in coronary arteries. However, confounding variables must be considered โ obese individuals may also have poor diets, lack exercise, or smoke, and any of these could independently increase disease risk. Studies that control for these variables still show obesity as an independent risk factor. BMI also has limitations as a measure, as it does not distinguish fat from muscle mass. Overall, the evidence strongly supports a causal link, but obesity is one of several interacting risk factors.
Mark scheme: 1 mark for stating the correlation between obesity and each disease; 1 mark for the causal mechanism for type 2 diabetes; 1 mark for the causal mechanism for CVD; 1 mark for discussing confounding variables; 1 mark for mentioning limitations of BMI; 1 mark for a balanced evaluation with a justified conclusion
Interpret lifestyle and disease data: a table shows that in a population of 10,000, obese individuals have a 15% rate of type 2 diabetes compared to 3% in non-obese individuals. However, obese individuals in the sample also report lower physical activity (40% meet guidelines vs 75% in non-obese) and higher smoking rates (25% vs 10%). Evaluate whether obesity alone increases diabetes risk. The data shows a correlation (5ร higher rate in obese group), but confounding variables (exercise, smoking) are not controlled. To isolate the effect of obesity, researchers would need to compare obese and non-obese people with similar activity levels and smoking habits. The known causal mechanism (insulin resistance from excess fat) supports a direct link, but the data alone cannot prove obesity is the sole cause without controlling confounders.
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