ELECTRONIC ARTICLE |
Influence of Socioeconomic Status on the Effectiveness of Bicycle Helmet Legislation for Children: A Prospective Observational Study
From the Department of Paediatrics, University of Toronto Faculty of Medicine, and the Division of Paediatric Medicine (Paediatric Outcomes Research Team), Hospital for Sick Children, Toronto, Ontario, Canada
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ABSTRACT |
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 TOP ABSTRACT METHODSRESULTSDISCUSSIONCONCLUSIONSREFERENCES |
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Objective. To evaluate the influence of average family income in a geographic area on the effectiveness of helmet legislation on observed helmet use by children (5–14 years).
Methods. The study was conducted in East York, a health district of Metropolitan Toronto, in collaboration with the East York Health Unit. In 1996, the total population was 107 822, 11 340 of which were children 5 to 14 years. Census data were used to group the 21 census tracts in East York into 7 geographically distinct areas. The boundaries of these areas are natural barriers to travel, such as expressways, ravines, railway tracks, and hydroelectric power lines. The areas were also ranked according to average family income (based on Statistics Canada data). For analytical purposes, areas were defined as low-, mid-, and high-income areas. Census data profiles of the areas have been previously described. For each consecutive year from 1990 to 1997 inclusive, direct observations of children riding bicycles in East York during the months of April through October were made. In 1995, observations were completed before the introduction of the law on October 1, 1995. Only children who were between 5 and 14 years of age and riding a 2-wheeled bicycle were included in the study. In total, 111 sites across all 7 areas were selected for observation. Observational sites included school yards of all elementary and middle schools (kindergarten to grade 8) and all parks in East York. In addition, 5 major intersections and 5 residential streets from each area were randomly selected. Observers were trained and used a standardized data collection form. A pilot study showed that the data collected by observers were reliable and valid. Observers remained at each site for 1 hour and collected data on helmet use and sex. Ethical approval for the study was obtained from the Hospital for Sick Children Research Ethics Board, the East York Board of Education, and the Metropolitan Separate School Board. The proportion of children who were wearing a bicycle helmet was estimated by year (1990–1997, inclusive), sex (male, female), location (school, park, major intersection, residential street), and income area (low, mid, high). For estimating the effect of legislation on helmet use, data from the year immediately after legislation (1996) were compared with data from the year preceding legislation (1995). The relative risk (RR) of helmet use (after vs before legislation) was calculated along with a 95% confidence interval (CI). Logistic regression analysis was used to adjust for potential confounding variables (sex and location).
Results. During the 8-year study period, 9768 observations were made (range: 914-1879 observations per year). The proportion of child cyclists who wore a bicycle helmet increased steadily during the first 4 years of the study period, from 4% in 1990 (34 of 914), to 16% in 1991 (303 of 1879), to 25% in 1992 (383 of 1563), and to 45% in 1993 (438 of 984). During 1994 (460 of 1083) and 1995 (568 of 1227), helmet use remained relatively stable at approximately 44%. Helmet use rose markedly in 1996 (the first year after helmet legislation was introduced) to 68% (818 of 1202) and remained stable at 66% (609 of 916) in 1997. Throughout the study period, girls were consistently more likely to wear helmets than were boys. In total, 47% (1420 of 3047) of girls wore helmets, compared with 33% (2193 of 6721) of boys (RR: 1.43; 95% CI: 1.36–1.50). In addition, children who were riding to school were more likely to use helmets, compared with children who were riding on residential streets, major intersections, and parks. Overall, 48% (1497 of 3129) of children who were riding to school wore bicycle helmets, compared with 32% (2116 of 6639) of children who were riding at other locations (RR: 1.50; 95% CI: 1.43–1.58). Children in the high-income areas were consistently more likely to wear helmets, compared with children in the mid- and low-income areas. Helmet legislation was associated with a significant increase in helmet use by children in East York. In 1995, 46% (568 of 1227) of children wore bicycle helmets, compared with 68% (818 of 1202) of children in 1996 (RR: 1.47; 95% CI: 1.37–1.58). The effect of legislation, however, varied by income area. In low-income areas, helmet use increased by 28% after legislation, from 33% (213 of 646) in 1995 to 61% (442 of 721) in 1996 (RR: 1.86; 95% CI: 1.64–2.11). In mid-income areas, helmet use increased by 29% after legislation, from 50% (150 of 300) in 1995 to 79% (185 of 234) in 1996 (RR: 1.58; 95% CI: 1.39–1.80). In high-income areas, helmet use increased by only 4%, from 73% (205 of 281) in 1995 to 77% (191 of 247) in 1996 (RR: 1.06; 95% CI: 0.96–1.17). This finding of a significant increase in helmet use after legislation in low- and mid-income areas but not in high-income areas remained even after logistic regression analysis adjusted for sex and location.
Conclusions. This study showed that bicycle helmet use by children increased significantly after helmet legislation. In this urban area with socioeconomic diversity and in the context of prelegislation promotion and educational activities, the legislative effect was most powerful among children who resided in low-income areas.
Key Words: socioeconomic status • bicycle helmet • legislation • injury prevention
Abbreviations: RR, relative risk • CI, confidence interval
Bicycling is a popular means of transportation, recreation, and exercise for children. The activity, however, is not without risk. Each year in Canada, approximately 40 children (5–15 years) die and 2500 are admitted to the hospital because of a bicycle-related injury.1 In the province of Ontario, 212 bicycle injury deaths occurred between 1986 and 1991.2 Of these, one third involved bicyclists under 15 years of age, and three quarters of the deaths resulted from head injuries.
There is compelling evidence that bicycle helmets are effective. A Cochrane Collaboration systematic review (based on 5 case control studies) showed that bicycle helmets reduce the risk of head and brain injury by 63% to 88% for cyclists involved in crashes.3 Promotional strategies to increase bicycle helmet use by children have included education, subsidy, and legislation.
The majority of studies that have evaluated educational campaigns and helmet subsidies have demonstrated increased bicycle helmet use by children after the program.4 Some studies, however, have shown that educational campaigns5,6 and helmet subsidies7,8 may increase helmet ownership but not necessarily helmet use.
Bicycle helmet legislation has been introduced and evaluated in Australia, Canada, New Zealand, and the United States.9–21 The evaluative evidence suggests that helmet legislation is effective in increasing bicycle helmet use by children. None of the studies, however, has examined the influence of family income on observed helmet use by children after the introduction of legislation (probably because of limited statistical power). In this context, systematic reviews of the literature have highlighted the need for injury prevention research to assess the differential effectiveness of preventive strategies in different socioeconomic groups.22,23
In the province of Ontario, Canada, bicycle helmet legislation was introduced on October 1, 1995. The helmet law applies to children and youths younger than 18 years. Observational surveys of helmet use have been conducted annually in a single urban area in Ontario beginning in 1990. Before the law, health promotion activities to increase helmet use had been undertaken and evaluated in the same area.7,24 The objective of this prospective observational study was to evaluate the influence of average family income on the effectiveness of helmet legislation on observed helmet use by children (5–14 years).
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METHODS |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONCONCLUSIONSREFERENCES |
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The study was conducted in East York, a health district of Metropolitan Toronto, in collaboration with the East York Health Unit. In 1996, the total population was 107 822, 11 340 of which were children 5 to 14 years. Census data were used to group the 21 census tracts in East York into 7 geographically distinct areas. The boundaries of these areas are natural barriers to travel, such as expressways, ravines, railway tracks, and hydroelectric power lines. The areas were also ranked according to average family income (based on Statistics Canada data). For analytical purposes, areas were defined as low-, mid-, and high-income areas. Census data profiles of the areas have been previously described.8,24
For each consecutive year from 1990 to 1997 inclusive, direct observations of children who were riding bicycles in East York during the months of April through October were made. In 1995, observations were completed before the introduction of the law on October 1, 1995. Only children who were between 5 and 14 years of age and riding a 2-wheeled bicycle were included in the study. In total, 111 sites across all 7 areas were selected for observation. Observational sites included school yards of all elementary and middle schools (kindergarten to grade 8) and all parks in East York. In addition, 5 major intersections and 5 residential streets from each area were randomly selected. Observers were trained and used a standardized data collection form. A pilot study showed that the data collected by observers were reliable and valid.25 Observers remained at each site for 1 hour and collected data on helmet use and sex. Ethical approval for the study was obtained from the Hospital for Sick Children Research Ethics Board, the East York Board of Education, and the Metropolitan Separate School Board.
The proportion of children who wore a bicycle helmet was estimated by year (1990–1997, inclusive), sex (male, female), location (school, park, major intersection, residential street), and income area (low, mid, high). For estimating the effect of legislation on helmet use, data from the year immediately after legislation (1996) were compared with data from the year preceding legislation (1995). The relative risk (RR) of helmet use (after vs before legislation) was calculated along with a 95% confidence interval (CI). Logistic regression analysis was used to adjust for potential confounding variables (sex and location).
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RESULTS |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONCONCLUSIONSREFERENCES |
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During the 8-year study period, 9768 observations were made (range: 914-1879 observations per year). The proportion of child cyclists who wore a bicycle helmet increased steadily during the first 4 years of the study period, from 4% in 1990 (34 of 914), to 16% in 1991 (303 of 1879), to 25% in 1992 (383 of 1563), and to 45% in 1993 (438 of 984). During 1994 (460 of 1083) and 1995 (568 of 1227), helmet use remained relatively stable at approximately 44%. Helmet use rose markedly in 1996 (the first year after helmet legislation was introduced) to 68% (818 of 1202) and remained stable at 66% (609 of 916) in 1997.
Throughout the study period, girls were consistently more likely to wear helmets than boys. In total, 47% (1420 of 3047) of girls wore helmets, compared with 33% (2193 of 6721) of boys (RR: 1.43; 95% CI: 1.36–1.50). In addition, children who were riding to school were more likely to use helmets, compared with children who were riding on residential streets, major intersections, and parks. Overall, 48% (1497 of 3129) of children riding to school wore bicycle helmets, compared with 32% (2116 of 6639) of children riding at other locations (RR: 1.50; 95% CI: 1.43–1.58). As shown in Fig 1, children in the high-income areas were consistently more likely to wear helmets, compared with children in the mid- and low-income areas.
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Helmet legislation was associated with a significant increase in helmet use by children in East York. In 1995, 46% (568 of 1227) of children wore bicycle helmets, compared with 68% (818 of 1202) of children in 1996 (RR: 1.47; 95% CI: 1.37–1.58). The effect of legislation, however, varied by income area. In low-income areas, helmet use increased by 28% after legislation, from 33% (213 of 646) in 1995 to 61% (442 of 721) in 1996 (RR: 1.86; 95% CI: 1.64–2.11). In mid-income areas, helmet use increased by 29% after legislation, from 50% (150 of 300) in 1995 to 79% (185 of 234) in 1996 (RR: 1.58; 95% CI: 1.39–1.80). In high-income areas, helmet use increased by only 4%, from 73% (205 of 281) in 1995 to 77% (191 of 247) in 1996 (RR: 1.06; 95% CI: 0.96–1.17). This finding of a significant increase in helmet use after legislation in low- and mid-income areas but not in high-income areas remained even after logistic regression analysis adjusted for sex and location.
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DISCUSSION |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONCONCLUSIONSREFERENCES |
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This study showed that bicycle helmet use by children increased significantly after helmet legislation. In addition, the sampling frame, observational method, and prospective longitudinal nature of the study allowed us to evaluate the influence of average family income in a geographic region on the effectiveness of helmet legislation on helmet use by children. In all study years, helmet use was lowest for children who were observed cycling in low-income areas and highest for children who were observed cycling in high-income areas. After legislation, however, helmet use rates almost doubled in low-income areas, whereas rates in high-income areas remained essentially unchanged. This suggests that in an urban area with socioeconomic diversity, in the context of prelegislation promotion and educational activities, the legislative effect is most powerful among children who reside in low-income areas.
The strengths of our study include direct observation of helmet use, prospective data collection, prelegislation and postlegislation data of 8 years’ duration, and large sample size (10 000 observations). In addition, sampling bias was minimized by using population-based, random sampling of observation sites. Information bias was reduced by using trained observers and a standardized data collection form. Last, confounding bias was minimized by using logistic regression analysis to adjust for potential confounding variables.
The main weakness of our study is that categorization of income areas was based on census tract data, as individual-level family income data were not available. Studies have shown, however, that socioeconomic measures based on census data may be a valid proxy for individual socioeconomic status.26,27 The likelihood of misclassification (eg, children from 1 income level riding in another area with a different income level) was considered unlikely for 2 reasons. First, studies show that the majority of children in this age group ride their bicycles close to home.28 Second, the boundaries of the 7 areas—expressways, ravines, railway tracks, and hydroelectric power lines—were natural barriers to travel by children on their bicycles.
The study may also be limited by the use of a time series design without a concurrent control group. In other words, the temporal trend in bicycle helmet use in an area without helmet legislation was not examined. The primary analysis, however, focused on the effect of helmet legislation on bicycle helmet use in 3 socioeconomic areas (low, mid, and high), rather than the overall trend in helmet use. Last, helmet use was higher in high-income areas before legislation. There was no overlap, however, of 95% CIs around the RRs for helmet use (after vs before legislation), between the high-income area and low- or mid-income areas.
Previous studies examining the effectiveness of helmet legislation in children have differed in their determination of sampling frame, survey methods, length of observation before legislation, existence of prelegislative promotional strategies, and duration of follow-up after legislation. For example, the survey methods used in several studies used reported helmet use rather than the determination of helmet use through direct observation.10,13,16,21 In general, observational surveys have been considered the best method to measure helmet use, given that self-report is prone to recall bias and social desirability bias.29
Of the studies that have used observational survey methods, the duration of prelegislation data collection has been limited to 1 to 9 months before legislation, and postlegislation data collection has been as short as 1 to 10 months.9,14,15 In addition, sample sizes have been small (50–300 children); thus, the CIs around the point estimates of helmet use have been wide.9,12,14 In our study, we collected data for 6 years before legislation and for 2 years after legislation. A total of 9768 observations were made, and for each year of observation, the sample size ranged from 914 to 1879.
Three studies have described prospective, longitudinal data on helmet use, ranging from 2 to 8 years before legislation and from 1 to 3 years after legislation.11,18,20 All of these studies have included observations of large numbers of cyclists of all ages, adults and children. In 2 studies11,18 there are insufficient data to estimate the number of children observed, and in 1 study20 the number of children observed is small (<100 children in each observational year).
Previous studies by our group suggest limited effectiveness of nonlegislative bicycle-related injury prevention strategies (education, subsidy) in low-income groups.7,24 In addition, we have shown that the bicycle-related head injury rate declined significantly in provinces where legislation had been adopted compared with provinces and territories that did not adopt legislation.30 Furthermore, we have not demonstrated a reduction in children’s bicycling rates before and after legislation.31
The relationship between childhood injury and socioeconomic status has been examined in 2 recent systematic reviews.22,23 Both reviews concluded that there is a paucity of well-conducted studies on this topic. However, both reviews provided data that indicate a differential uptake of safety measures in different socioeconomic groups. There is a need for data on this issue to better inform health promotion programs and health policy.
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CONCLUSIONS |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONCONCLUSIONSREFERENCES |
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The results of our study along with the published evidence suggest that helmet legislation is effective in increasing helmet use by children (particularly those in low-income areas). In addition, legislation is associated with a decrease in bicycle-related head injuries. Last, children’s cycling habits seem to be unaffected by legislation. Therefore, these data support the adoption of legislation as an effective tool in the prevention of bicycle-related head injuries.
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ACKNOWLEDGMENTS |
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This work was supported by the Ontario Ministry of Transportation (grant 9210) and the Ontario Ministry of Culture, Tourism, and Recreation (grant 92-70-0408). The Pediatric Outcomes Research Team is supported by a grant from the Hospital for Sick Children Foundation.
We gratefully acknowledge the contributions of the East York Health Unit.
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FOOTNOTES |
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Received for publication Mar 11, 2003; Accepted May 19, 2002.
Address correspondence to Patricia C. Parkin, MD, Division of Paediatric Medicine, Hospital for Sick Children, 555 University Ave, Toronto, Ontario M5G 1X8, Canada. E-mail: patricia.parkin{at}sickkids.ca
The views of the authors do not necessarily reflect the views of the Ontario Ministry of Transportation or the Ontario Ministry of Culture, Tourism, and Recreation.
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PEDIATRICS (ISSN 1098-4275). ©2003 by the American Academy of Pediatrics
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