Data Analysis
Being in the Attorney General's Office surrounded by all of those legal books, led you to think about how Hill's causal "criteria" ( Click here for a link to the original article or see Aschengrau & Seage, pp 392-399) can be used to assess evidence for causality in much the same way that a prosecutor attempts to establish guilt in a court of law. Basically, epidemiologists have looked to lists of 'causal criteria' as inductive ways of building an argument to support the notion that a given association is causal. Your job is to use Hill's criteria to give the Attorney General guidance about whether the Gidwani et al article shows that television viewing is a cause of early initiation of smoking.
5. The authors state in the results, "Controlling for baseline characteristics, youth who watched >5 hours of television per day were 5.99 times more likely to initiate smoking behaviors than those youth who watched 0-2 hours per day." What does this piece of information tell us?
- Watching >5 hours of television per day causes youths to initiate smoking.
- There is a statistical association between watching >5 hours of television per day and initiation of smoking after taking into account other baseline characteristics of youth who watched television that were measured in this study.
- If kids watch less TV, they will be less likely to initiate smoking.
6. The following quotes provide evidence to support Hill's Criteria. Choose the criterion which correctly matches each quote.
7. Which of the criteria that you reviewed above is the one that is essential for TV watching to be a cause of smoking initiation?
Intellectually curious?
Learn more about the limitations of causal criteria .
Hill's 'criteria' are often used by epidemiologists in an attempt to rule out alternative explanations for an association (other than a causal explanation). Epidemiologists also look to other explanations, those not explicitly covered in Hill's guidelines, when assessing whether an association is plausibly causal. You will learn more about these "alternative explanations" in the lectures on bias and confounding. Being the vigorous young epidemiologist that you are, you know that you should consider potential alternative explanations for the association between television viewing and smoking initiation before giving your report to the Attorney General.
8. Which of the following alternative explanations could have possibly caused the authors to find that youth who watched >5 hours of television per day were 5.99 times more likely to initiate smoking behaviors, if watching TV did not truly cause smoking initiation?
- If a true cause of smoking initiation was poor parental monitoring, and youth who watch a lot of TV are less likely to be monitored by parents, then the association between TV watching and smoking initiation would really be due to their shared association with parental monitoring. This is an example of confounding .
- Youth who watch TV are more likely to under-report true smoking habits on a survey compared to youth who do not watch TV.
- Youth who watch a lot of TV are more likely to have participated in the follow-up survey since they have more free time.