Book contents
- Frontmatter
- Contents
- Foreword
- Preface
- 1 Epidemiology is…
- 2 How long is a piece of string? Measuring disease frequency
- 3 Who, what, where and when? Descriptive epidemiology
- 4 Healthy research: study designs for public health
- 5 Why? Linking exposure and disease
- 6 Heads or tails: the role of chance
- 7 All that glitters is not gold: the problem of error
- 8 Muddied waters: the challenge of confounding
- 9 Reading between the lines: reading and writing epidemiological papers
- 10 Who sank the boat? Association and causation
- 11 Assembling the building blocks: reviews and their uses
- 12 Outbreaks, epidemics and clusters
- 13 Watching not waiting: surveillance and epidemiological intelligence
- 14 Prevention: better than cure?
- 15 Early detection: what benefits at what cost?
- 16 A final word…
- Answers to questions
- Appendix 1 Direct standardisation
- Appendix 2 Standard populations
- Appendix 3 Calculating cumulative incidence and lifetime risk from routine data
- Appendix 4 Indirect standardisation
- Appendix 5 Calculating life expectancy from a life table
- Appendix 6 The Mantel-Haenszel method for calculating pooled odds ratios
- Appendix 7 Formulae for calculating confidence intervals for common epidemiological measures
- Glossary
- Index
- References
5 - Why? Linking exposure and disease
- Frontmatter
- Contents
- Foreword
- Preface
- 1 Epidemiology is…
- 2 How long is a piece of string? Measuring disease frequency
- 3 Who, what, where and when? Descriptive epidemiology
- 4 Healthy research: study designs for public health
- 5 Why? Linking exposure and disease
- 6 Heads or tails: the role of chance
- 7 All that glitters is not gold: the problem of error
- 8 Muddied waters: the challenge of confounding
- 9 Reading between the lines: reading and writing epidemiological papers
- 10 Who sank the boat? Association and causation
- 11 Assembling the building blocks: reviews and their uses
- 12 Outbreaks, epidemics and clusters
- 13 Watching not waiting: surveillance and epidemiological intelligence
- 14 Prevention: better than cure?
- 15 Early detection: what benefits at what cost?
- 16 A final word…
- Answers to questions
- Appendix 1 Direct standardisation
- Appendix 2 Standard populations
- Appendix 3 Calculating cumulative incidence and lifetime risk from routine data
- Appendix 4 Indirect standardisation
- Appendix 5 Calculating life expectancy from a life table
- Appendix 6 The Mantel-Haenszel method for calculating pooled odds ratios
- Appendix 7 Formulae for calculating confidence intervals for common epidemiological measures
- Glossary
- Index
- References
Summary
Box 5.1 Who does all the housework?
His view: Australian men do three times more housework today than they did 40 years ago…
Her view: Australian men spend 5 minutes a day on laundry now compared to 1.6 minutes 40 years ago – an extra 3½ minutes a day…
(Maushart, 2003.)As you learned in Chapter 1, one of the main uses of epidemiology is to identify the causes of disease and this is of fundamental importance in all areas of public health – if we can work out what is causing ill-health then we can work to prevent it. In Chapter 2 we looked at the ways in which we can measure the occurrence of disease and touched on some ways in which we can compare different populations. But while measuring the occurrence of a disease in a population can tell us about the health of that population, it does not directly shed much light on the underlying causes of the disease. To identify the aspects of people or their environment (exposures) that might lead to the onset of disease, we need to compare disease occurrence in groups with and without the exposures of interest. In Chapter 4 we looked at some of the study designs that we can use to do this; now we will look more closely at the measures we use to quantify the associations between ‘exposures’, or potential causes of disease, and the disease itself.
- Type
- Chapter
- Information
- Essential EpidemiologyAn Introduction for Students and Health Professionals, pp. 125 - 153Publisher: Cambridge University PressPrint publication year: 2010