Salters-Nuffield Advanced Biology Resources Activity 1.3.2 Student Sheet ANALYSIS OF CARDIOVASCULAR DISEASE DATA Purpose To analyse quantitative data on cardiovascular disease (CVD). To consider the effect of age and gender on the risk of CVD. Analysis of risk: haemorrhagic stroke Mark had his haemorrhagic stroke in 1995 at the age of 15. In this type of stroke a blood vessel in the brain bursts. With the correct data it is possible to calculate his risk of having a fatal stroke, and to see how this risk is affected by age and gender. Tables 1 and 2 present data for the year that Mark had his stroke. Age Male Female 0–4 6 7 5–9 6 – 10–14 7 5 15–19 8 6 20–24 19 10 Table 1 Number of UK deaths from haemorrhagic stroke in 1995. Gender Age group 15–19 Females Males 1 682 000 1 780 000 Table 2 Population of the UK in 1995 separated by gender for the 15–19 age group. Q1 Estimate the probability of a 15-year-old male in the UK dying from a haemorrhagic stroke during 1995 and explain how you determined your answer. Q2 Estimate the probability of a 15-year-old female in the UK dying from a haemorrhagic stroke during 1995 and explain how you determined your answer. Analysis of coronary heart disease data Use the data on age-specific death rates from coronary heart disease (CHD) over a number of years in Table 3 to answer the questions that follow. Age/years 35–44 45–54 55–64 65–74 Men Women Men Women Men Women Men Women 1980 56 9 270 50 733 215 1621 688 1985 43 7 221 43 687 213 1601 702 1990 37 6 159 33 536 179 1352 594 1995 26 5 117 24 408 124 1133 498 2000 19 5 92 20 291 84 823 347 2005 19 4 73 16 204 54 558 225 2010 15 4 62 14 165 40 396 148 Table 3 Death rates per 100 000 of population of the United Kingdom due to CHD. All users will need to review the risk assessment information and may need to adapt it to local circumstances. © 2015 University of York, developed by University of York Science Education Group. This sheet may have been altered from the original. Page 1 of 2 Salters-Nuffield Advanced Biology Resources Activity 1.3.2 Student Sheet Q3 Comment on what happens to the average risk of death due to CHD as you get older. Give a reason for any changes in risk. Q4 Use the data to produce an appropriate graph to show clearly the gender differences for a particular year. For guidance on drawing graphs see Maths and Stats Support Sheet 2 – Presenting data – graphs. Q5 a Describe the trend in the number of deaths per 100 000 from CHD between 1980 and 2010. Use examples from the data to quantify your answer. Estimate the percentage decrease in each case. b Suggest reasons for this trend. a Compare the incidence of CHD deaths in men and women. Remember to quantify your answers. b Suggest reasons for any differences described. a Has this gender difference changed over the time period shown? b Suggest reasons for any changes observed. Q6 Q7 All users will need to review the risk assessment information and may need to adapt it to local circumstances. © 2015 University of York, developed by University of York Science Education Group. This sheet may have been altered from the original. Page 2 of 2