|Year : 2019 | Volume
| Issue : 11 | Page : 3595-3599
Assessment of road traffic behavior using Youth Risk Behavior Survey questionnaire among school-going adolescents of Jaipur city, Rajasthan: An observational analysis
Priyanka Dobhal1, Aviral Dobhal2, Amita Kashyap3, Ajeet Singh Bhadoria4
1 Department of Community Medicine, Government Doon Medical College, Dehradun, Uttarakhand, India
2 Department of Orthopaedics, Government Doon Medical College, Dehradun, Uttarakhand, India
3 Department of Community Medicine, SMS Medical College, Jaipur, Rajasthan, India
4 Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India
|Date of Submission||24-Jun-2019|
|Date of Decision||22-Aug-2019|
|Date of Acceptance||25-Sep-2019|
|Date of Web Publication||15-Nov-2019|
Dr. Ajeet Singh Bhadoria
Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand
Source of Support: None, Conflict of Interest: None
Background: Adolescents are a relatively healthy group, but their developmental stage makes them vulnerable to many risk-taking behaviors. One such major issue is road safety practices and their risk on roads. Objective: To determine road safety risk behavior among school-going adolescents of Jaipur city and factors associated with it. Materials and Methods: An observational, cross-sectional study was conducted from July 2015 to February 2016. A total of 900 school-going adolescents were enrolled from eight schools of Jaipur city and the Youth Risk Behavior Survey (YRBS) questionnaire was administered. Results: Most of the participants (67.56%) were in the age group of 13–16 years. A total of 682 (75%) adolescents were driving one or other type of vehicle to commute. Out of the 682 vehicle-using adolescents, 603 (88%) had risky behavior on roads. Driving under the influence was found more among those using four-wheelers (10%) than two-wheelers (5%). Almost half of drivers used mobile phones while driving a car or two-wheeler. There was statistically significant association between risk on roads with respect to rising education and occupation of parents. A majority (88.41%) of the school-going students were found to be at risk on roads while driving. Safety-belt was not used by 28% of the students while half did not use a helmet. More than 70% of the car drivers and two-wheeler drivers drove without license. Conclusion: Majority of the adolescent drivers are at risk on roads. Driving without license and/or helmet and using mobile phone are the main risk factors.
Keywords: Adolescent, mobile use, road safety, YRBS questionnaire
|How to cite this article:|
Dobhal P, Dobhal A, Kashyap A, Bhadoria AS. Assessment of road traffic behavior using Youth Risk Behavior Survey questionnaire among school-going adolescents of Jaipur city, Rajasthan: An observational analysis. J Family Med Prim Care 2019;8:3595-9
|How to cite this URL:|
Dobhal P, Dobhal A, Kashyap A, Bhadoria AS. Assessment of road traffic behavior using Youth Risk Behavior Survey questionnaire among school-going adolescents of Jaipur city, Rajasthan: An observational analysis. J Family Med Prim Care [serial online] 2019 [cited 2021 Apr 12];8:3595-9. Available from: https://www.jfmpc.com/text.asp?2019/8/11/3595/270917
| Introduction|| |
Healthy adolescents are assets to the economic growth and productivity of any nation. Although they are relatively healthy group, their developmental stage makes them vulnerable for many risk-taking behaviors. One of the important risks is their susceptibility to accidents, especially road traffic accidents (RTAs). Currently, accidents are the most important reason of death and the leading cause of large number of hospitalizations and hospital care. Adolescents are at double the risk of life-threatening accidents in comparison with general population. This is mainly because they are less likely to appreciate danger, more likely to drive fast and be involved in sudden maneuvers (stunts).,,,, Distractions like music, mobile phones, and use of alcohol are also related to risky driving.,,, Hence, this study was conducted with an objective to determine the proportion of school-going adolescents of Jaipur city with road traffic risk behavior and its associated variables using the Indian version of the Youth Risk Behavior Survey (YRBS) questionnaire.
| Methods|| |
An observational, descriptive type of cross-sectional study was conducted from July 2015 to February 2016 in Jaipur city. Schools and students that met the following eligibility criteria were considered for the study.
Inclusion criteria for schools and students were as follows:
- Schools having coeducation facility and having all the three streams, i.e. science, commerce, and arts
- School students studying in the 11th and 12th class
- Students present on the day of study.
Exclusion criteria for schools and students:
- School with a strength less than 100 in class 11th and 12th were excluded to make study cost-effective
- Students who did not give consent.
Sample size: The prevalence of mobile phone users during driving was 17%. At 95% confidence level and 3% absolute error, the sample size came to be 627. The sample was enhanced to 900, adjusting for nondriving students, nonresponders, and absentees.
A complete list of all government and private senior secondary schools was procured from the Department of Education, Jaipur. One government and one private school from each zone (east, west, north, and south) were selected by a simple random sampling technique. A list of students of 11th and 12th class was procured from all the eight selected schools. Equal proportions of students were selected randomly from each of the three streams (science, commerce, and arts). All selected students were interviewed using the YRBS tool, after explaining to them the purpose of study, taking consent, and assuring for anonymity. The study variables included age, sex, height, weight, body mass index (BMI), religion, stream of study, family type, number of family members, family income, with whom children were living, parent's education, parent's occupation, road safety, use of alcohol during driving, and drugs abuse.
The latest version of the YRBS questionnaire (2015) was used. It is a standard pro forma used in many studies in India and internationally and is modified every two years. The YRBS collects data about the basic information of the study subject and road safety behavior.
Parent's occupation and education score
Parental guidance is very important in constructing healthy behaviors in adolescents. Education and occupation of parents, especially of mothers, has a great impact; hence, it was decided, in consultation with three senior experts, to give more weight to mother's occupation and education and a score was developed as follows:-
- Occupation: A professional degree, including a doctor and engineer, and Ph.D. professor/lecturers were scored at 6; teachers were scored 5; big businessmen were scored 4; petty businessmen and clerical staff were given 3; farmers were given 2; laborers were given 1; and unemployed were given 0 scores. Twice the value was assigned to mother as compared with the father in the same category. For example, if the father was a petty businessman (score 3) and mother was a Ph.D. (score 6) lecturer then the total score would be 3 × 1 + 6 × 2 = 15. The minimum score was 0 and maximum score was 18. Hence, the composite score of parent's occupation was categorized as 0–6, 7–12, and 13–18, indicating low influence, moderate influence, and high influence in child-rearing, respectively. The median score was calculated to divide the group into two categories having good or poor parental influence.
- Education: A professional degree, including a doctor and engineer, and Ph.D. professor/lecturers were scored at 3, undergraduates were scored 2, up to senior secondary education was scored 1, and illiterates were given 0 scores. Twice the value was assigned to mother as compared with the father in the same category. For example, if the father was a professional (score 3) and mother had up to senior secondary education (score 1), then the total score would be 3 × 1 + 1 × 2 = 5. The minimum score was 0 and maximum score was 9. Hence, the composite impact of parent's education was categorized as 0–3, 4–6, and 7–9, indicating low influence, moderate influence, and high influence in child-rearing, respectively. The median score was calculated to divide the group into two categories having good or poor parental influence.
Road safety behavior
It was decided that all those who drove vehicles without a license, drove without safety measures, used mobile phone while driving, or drove under the influence were considered at risk. The overall score ranged from 0–30 and was divided as low- and high-risk behavior using three as the median value.
All data collected were entered into a Microsoft Excel spreadsheet in the form of a master chart. These data were classified and analyzed as per the objectives. Categorical data were expressed in terms of either frequency or proportions. Continuous data were expressed in terms of mean with standard deviation (SD). Inferential statistics, such as Chi-square test and odds ratio (OR) with confidence interval (CI), was used to find out association. “Microsoft Excel” and “Primer” were used for data analysis.
Ethical clearance was taken from the institutional ethical committee and assent or consent was taken from each participant (Ethical approval was taken on 19 Nov 2016 from Ethical Committee of SMS Medical College, Jaipur). Privacy and confidentiality of data were ensured by asking not to write down the names of the students and collection of questionnaires was done in a sealed carton with a thin slit.
| Results|| |
Most of the participants (67.56%) were in the age group 13–16 years and majority were Hindus. Almost equal proportion belonged to nuclear (50.3%) and joint (49.7%) families. Sixty-seven percent belonged to middle-class while only 8% were from upper class. Parents of 29% and 23% of the adolescents were positioned at “low” or “highly positive parental influence” category, respectively, based on their parent's occupations score. Combined education score of parents depicted that majority (48%) of the study population had their parents highly positioned while 38% were at a low position. Only 17% of the adolescents were from the arts stream, 37.67% belonged to science, and 45.12% were from commerce. Thirty-seven percent of the adolescents were malnourished while 4.56% were obese and 15% were overweight. The majority (96.5%) of the adolescents stayed with their parents.
Three-fourth of the study population (682/900) were driving one or the other type of vehicle to commute. Out of which, 64% were exposed to high-risk road safety behavior. There is no statistically significant difference in the two age groups. Considering adolescents from a joint family get less attention from parents and are pampered by grandparents, they were more exposed to high-risk behavior on roads OR was calculated and there was 1.5 times more risk to an adolescent of joint family on roads (OR = 1.48, 95% CI 1.08–2.03). When both the parents were positioned on the basis of their combined occupation, it was observed that the risk on roads was decreasing with rising position of parents (P < 0.001), three out of four adolescents of lower-positioned parents were at high risk of road safety behavior. A lesser proportion of adolescent from upper middle class and upper class are exposed to high risk on roads though statistically significant association could not be elicited (P = 0.06). No other variable had significant association on road safety behavior [Table 1].
|Table 1: Cross-tabulation between road safety behavior and sociodemographic characteristics among adolescent drivers (n=682)|
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Multiple logistic regression analysis
A step-wise logistic regression analysis was done to find out independent determinants of high-risk behaviors for road safety among adolescents. Significantly associated variables identified in univariate analysis, i.e. type of family and influence of parent's occupation were put into the model. Probability of removal from the model was kept at P > 0.10 and to keep in the model was at P < 0.05. Overall, the model fit was found to be statistically significant (P < 0.001). Living in a joint family was found to have a significant risk for road safety (OR 1.42; 95% CI 1.03–1.95) along with the high influence of parent's occupation (OR 2.13; 95% CI 1.45–3.12). The proportion of cases correctly classified by this model was 63.6% [Table 2].
|Table 2: Multiple logistic regression analysis documenting independent factors associated with road safety|
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The majority (49%) of the adolescents were driving two-wheeler, out of which 40% and 59% were driving motorcycle and scooter, respectively. Safety belt was not used by 28% while 49.5% of two-wheeler drivers did not use helmet. Seventy-two percent car drivers and 76.6% two-wheeler drivers were driving without license. More than 50% car drivers and 27% two-wheeler drivers used mobiles while driving. Driving under the influence was 10.6% in car drivers and 5.14% in two-wheeler users [Table 3].
|Table 3: Use of safety measures (helmet and seat belt) on road as per the type of vehicle|
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| Discussion|| |
This study was carried out among school-going adolescents of class 11th and 12th in Jaipur city. Almost three-fourths of the respondents were “at-risk” as far as behaviors related to safety on roads were concerned, similar observations were made by authors from Delhi. We found that half of the adolescents were driving two-wheelers. However, in another study done in Aurangabad, about three-fourth were driving two-wheelers. Aurangabad city has many educational institutes, and the residential area is in outskirts of the city. The distance from the residential area to workplace, schools, and colleges has increased and, moreover, busy parents also might have led to increased vehicle use among adolescents. Safety belt was not used by about 30% of the car drivers and half of the two-wheeler drivers did not use helmets. In Spain, in a large cohort, a house-to-house survey documented the proportion as 16%. The proportion of two-wheeler drivers not using helmet was 10% in the study by Deborah Carvalho Malta, where students from ninth standard were included in the study. Seventy-two percent car drivers and 76% two-wheeler drivers drove without license, similar finding (68%) were found by Salve. Subhashisa Swain  found the prevalence of 75% individuals who did not use either helmet or seatbelt while driving. Every third adolescent used a mobile phone while driving in our study, a similar result was found in the study by Subhashisa Swain. Whereas, a significantly high (73%) proportion was found in the study by Dellinger, maybe because, in this study, nurses and doctors responded on behalf of admitted adolescents of accident cases. In a study conducted by Pulido et al., it was documented that 6.4% were using mobile phones while driving. In the present study, more than half of the car drivers and around one-fourth of the two-wheeler drivers used mobiles while driving. A study from Aurangabad observed that 32% of adolescents used mobile while driving two-wheelers. The observation of driving under the influence is more (10%) during car driving than two-wheeler driving (5%) in our study, and it was explained by the fact that more two-wheelers are used for commuting to school and more cars are used for fun trips or out-of-school activities. The study depicts that there is 1.5 times more risk to adolescents of joint families on roads. Adolescents of highly positioned parents had significantly more risk on roads maybe because they had easy access to motorized vehicles and smart mobile phones.
| Conclusion|| |
Almost 75% school-going students drive vehicles and majority of them were found to be at risk on roads while driving. Most of them do not use a safety belt or helmet while driving. Driving under alcohol influences was found increased among youth. Young children do not understand or react to complex traffic situations in the same way as adults and lack certain abilities, which increase their risk to road traffic crashes. Road safety initiatives need to be planned by leaders and policymakers, taking into consideration children's vulnerabilities, inexperience, and developmental need for life.
Road safety should be embedded in the concept of universal health coverage and needs to be a part of training for the primary care physicians in India. Primary care physicians are the axis of first-contact care in all cases of RTI. So, family medicine-trained primary care experts should learn the art of capacity building of the “ first responders” and take initiatives to train them so that they can serve the last man on the road.
We acknowledge the education department and the school for participating in this study.
Financial support and sponsorship
Conflicts of interest
There is no conflict of interest.
| References|| |
Colicchio D, Passos AD. Driving behavior among medical students. Rev Assoc Med Bras 2010;56:535-40.
Gonzales MM, Dickinson LM, DiGuiseppi C, Lowenstein SR. Student drivers: A study of fatal motor vehicle crashes involving 16-year-old drivers. Annals Emer Med 2005;45:140-6.
Williams A. Teenage drivers' patterns of risk. J Safety Res 2003;34:5-15.
Doherty ST, Andrey JC, MacGregor C. The situational risks of young drivers: The influence of passengers, time of day and day of week on accident rates. Accid Anal Prev 1998;30:45-52.
Deutermann W. Characteristics of fatal rollover crashes, DOT HS 809 438. Washington, DC: National Center for Statistics and Analysis, National Highway Traffic Safety Administration, United States Department of Transportation, April, 2002.
National Center for Statistics and Analysis. Fatality Analysis Reporting System, September, 2005.
McCartt AT, Northrup VS. Factors related to seat belt use among fatally injured teenage drivers. J Safety Res 2004;35:29-38.
Simons-Morton B, Lerner N, Singer J. The observed effects of teenage passengers on the risky driving behavior of teenage drivers. Accid Anal Prev 2005;37:973-82.
Ossenbruggen PJ, Pendharkar J, Ivan J. Roadway safety in rural and small urbanized areas. Accid Anal Prev 2001;33:485-98.
Swaina S, Mohananb P, Sanahc N, Sharmad V, Ghoshe D. Risk behaviors related to violence and injury among school-going adolescents in Karnataka, Southern India. Int J Adolesc Med Health 2014;26:551-8.
Sharma R, Grover VL, Chaturvedi S. Health-risk behaviors related to road safety among adolescent students. Indian J Med Sci 2007;61:656-62.
] [Full text]
Salve SB, Dase RK, Jadhav VS, Mahajan SM, Adchitre SA. A study on awareness and behaviour of adolescents towards road traffic accidents. Int J Curr Med Appl Sci 2014;4:33-40.
Pulido J, Barrio G, Lardelli P, Bravo MJ, Regidor E, de la Fuente L. Association between cannabis and cocaine use, traffic injuries and use of protective devices. Eur J Public Health 2010;21:753-5.
Malta DC, do Prado RR, Caribe SS, da Silva MM, de Andreazzi MA, da Silva Júnior JB, et al
. Factors associated with injuries in adolescents, from the national adolescent school-based health survey (PeNSE 2012) Rev Bras Epidemiol Suppl Pense 2014;17(Suppl 1):183-202.
Dellinger AM, West BA. Health care providers and teen driving safety: Topics discussed and educational resources used in practice. Am J Lifestyle Med 2015;9:451-6.
Pal R, Ghosh A, Kumar R, Galwankar S, Paul SK, Pal S, et al
. Public health crisis of road traffic accidents in India: Risk factor assessment and recommendations on prevention on the behalf of the academy of family physicians of India. J Family Med Prim Care 2019;8:775-83.
] [Full text]
[Table 1], [Table 2], [Table 3]