A case-control study of the effectiveness of bicycle safety helmets. Thompson RS, Rivara FP, Thompson DC. Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA 98121. Bicycling accidents cause many serious injuries and, in the United States, about 1300 deaths per year, mainly from head injuries. Safety helmets are widely recommended for cyclists, but convincing evidence of their effectiveness is lacking. Over one year we conducted a case-control study in which the case patients were 235 persons with head injuries received while bicycling, who sought emergency care at one of five hospitals. One control group consisted of 433 persons who received emergency care at the same hospitals for bicycling injuries not involving the head. A second control group consisted of 558 members of a large health maintenance organiza- tion who had had bicycling accidents during the previous year. Seven percent of the case patients were wearing helmets at the time of their head injuries, as com- pared with 24 percent of the emergency room controls and 23 percent of the sec- ond control group. Of the 99 cyclists with serious brain injury only 4 percent wore helmets. In regression analyses to control for age, sex, income, education, cycling experience, and the severity of the accident, we found that riders with helmets had an 85 percent reduction in their risk of head injury (odds ratio, 0.15; 95 percent confidence interval, 0.07 to 0.29) and an 88 percent reduction in their risk of brain injury (odds ratio, 0.12; 95 percent confidence interval, 0.04 to 0.40). We conclude that bicycle safety helmets are highly effective in preventing head injury. Helmets are particularly important for children, since they suffer the majority of serious head injuries from bicycling accidents.
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Consider a retrospective study that was conducted to investigate the effectiveness of wearing bicycle safety helmets to prevent head injury. The data consists of a random sample of 793 individuals who were involved in bicycle accidents during a specified year period. Of the 793 individuals who were involved in bicycle accidents, 147 were wearing safety helmets at the time of the incident, and 646 were not. Among those wearing helmets, 17 suffered serious head injuries (i.e. requiring the attention of a doctor), whereas the remaining 130 did not. Among the individuals not wearing safety helmets, 218 sustained serious head injuries, and 428 did not. You are interested in whether wearing bicycle safety helmets prevents serious head injury. A. State the null hypothesis. Wearing bicycle helmets prevents serious head injury B. Calculate the observed proportion of individuals who wore safety helmets in the study Helmet No Helmet Total Injury 17 218 235 No Injury 130 428 558 Total 147 646 793 C. Calculate and interpret a 95% confidence interval for the population proportion of individuals that wear a bicycle helmet D. To quantify the strength of the association between wearing a bicycle helmet and not sustaining a serious head injury, which measure should be used? Justify your choice
Sri K.
In 2013, researchers in Australia analyzed data from a random sample of bicycle accidents involving collisions with motor vehicles in New South Wales during 2001-2009. One of the variables the researchers analyzed is whether or not cyclists were wearing helmets. The table below includes the count of head injuries compared to other non-head injuries. In this table, the observed count appears above the expected count in each cell: Head injury Other injury Total Observed 372 4715 Wearing helmet Expected 481.9 4605.1 Observed 267 1391 No helmet Expected 157.1 1500.9 Total 639 6106 6745 Reference: Bambach M, R. R. Mitchell, R. H. Grzebieta, and Oliver, 2013. The effectiveness of helmets in bicycle collisions with motor vehicles: a case control study. Accident Analysis and Prevention, 53, 70-88. Researchers conducted a chi-square test of independence with this data. Chi-square test results: chi-square test statistic 112.7, P-value 0.0001. The expected counts describe what we expect to see if which of the following is correct? Check all that apply: - Not wearing bicycle helmets and head injury are dependent.
A retrospective study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the table below (based on data from "Motorcycle Rider Conspicuity and Crash Related Injury: Case-Control Study," by Wells et al., BMJ USA, Vol 4). All of the following questions should be rounded to the nearest percent. Colour of Helmet for Motorcycle Riders involved in a Crash Not Injured Injured/Killed (i) Black 491 213 (ii) White 377 112 (iii) Yellow/Orange 31 8 (iv) Red 170 70 (v) Blue 55 26 Total 1124 429 a. What percent of the Motorcycle riders recorded for this study wore black helmets? b. What percent of the Motorcycle riders recorded for this study were injured or killed? c. What percent of the white helmet-wearing Motorcycle riders were injured or killed? d. What percent of the red helmet-wearing Motorcycle riders were injured or killed? e. What percent of the yellow/orange helmet-wearing Motorcycle riders were injured or killed? f. What percent of the blue helmet-wearing Motorcycle riders were injured or killed? g. Do the colour of motorcycle helmet worn and injury/death chance appear to be independent?
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