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| ORIGINAL ARTICLE |
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| Year : 2019 | Volume
: 9
| Issue : 1 | Page : 25-28 |
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Environmental and familial factors in drug use among commercial drivers in suburban public transport
Elaheh Ainy, Hamid Soori
Department of Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| Date of Web Publication | 8-Mar-2019 |
Correspondence Address:
Dr. Elaheh Ainy
Department of Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/IJCIIS.IJCIIS_38_18
 Abstract | | |
Background: A study was conducted in 2013 on the lack of accurate statistics on the environmental and family factors behind the use of drugs by drivers of public transport.
Materials and Methods: Overall, 1176 drivers of buses, mini-buses, vans, all kinds of trucks, and cars were randomly selected proportionately according to the type of vehicles. The capture-recapture sampling method was used to determine the prevalence rate of drug use among commercial drivers. Trained experts collected data regarding the environmental and family factors behind the use of addictive drugs. Urinalysis was performed by the Rapid Test method (ACON, San Diego, USA). To providing descriptive and analytical statistics the Kruskal–Wallis and Mantel–Haenszel methods, logistic regression, and Chi-square tests were used.
Results: The mean age of the drivers was 39.9 ± 9.7 years. The results of the experiment were positive in 14.1% of the drivers. A significant difference observed between addicted and nonaddicted drivers related to cold and heat (P < 0.001) and lack of facilities (P = 0.006) as the most influencing factors. The most important environmental factor was family poverty (P < 0.001), followed by marital status and its problems (P = 0.002), a large number of children (P = 0.006), and family disputes (P = 0.012). A family history of addiction was 2.5 times more among addicted drivers.
Conclusion: Prevalence of addiction was 14.1%. Among the environmental factors, cold and heat, lack of facilities, family factors, and a family history of addiction greatly influenced addiction.
Keywords: Addiction, commercial drivers, drug use, environmental factors, family factors, road traffic injury
How to cite this article:
Ainy E, Soori H. Environmental and familial factors in drug use among commercial drivers in suburban public transport. Int J Crit Illn Inj Sci 2019;9:25-8 |
How to cite this URL:
Ainy E, Soori H. Environmental and familial factors in drug use among commercial drivers in suburban public transport. Int J Crit Illn Inj Sci [serial online] 2019 [cited 2023 Mar 25];9:25-8. Available from: https://www.ijciis.org/text.asp?2019/9/1/25/253759 |
| Introduction | |  |
The environment plays a very decisive and effective role in the formation of human personality and behavior, which means the traits of a personality and their origin are largely derived from the environment. The assumption of social roles provides the opportunity and the field to an individual to express oneself through face-to-face interaction. Role-play, self-assertion and institutionalization of social identity in a person help face social identity problems. Susceptibility to despair, anxiety, and inappropriateness are among many psychological abnormalities and problems that promote an individual's tendency toward seclusion and isolationism.[1]
To overcome this loneliness and isolation, the individual develops addiction and tries to heal this feeling through drug dependence.[2] Diagnosis of the effective risk factors in accidents is very important to identifying effective interventions to reduce accidents.[3] Traffic accidents occur as a result of a set of road, environmental, vehicular, user, and interaction factors.[4] Environmental factors cover a lot of things including the location of the accident, the design of the road, the speed limit imposed, the facilities for pedestrians, the protective objects at the accident site, rescue facilities, traffic congestion, water conditions, air (overheating, and stormy weather) on the road, lack of recreational facilities, accident time, road defects, illumination, road surface, and geometric location.[5],[6] Environmental factors leading to accidents and subsequent deaths in Iran include foggy air, oily road surface, incorrect markings, narrow roads, and up and down roads.[7]
The design of the transportation system has direct and indirect effects on the health of individuals. Inadequate and inappropriate roads lead to overcrowding and increased incidence of accidents. Overspeeding affects the consequences of an accident.[8] The physical design of the road and its surroundings may or may not encourage drivers to notch up high speed.[9] Talking on the phone diffuses the driver's focus on keeping control.[10] The effect of the use of addictive drugs or the unauthorized use of these drugs is different depending on the type of effect these substances have on the human brain.[11] These materials can affect driving skills in respect of balance and coordination, understanding, gauging one's distance from other vehicles, anticipating the behavior of other drivers, level of attention and accuracy, timely judgment and reaction and ultimately, the driver's problem-solving skills.[12]
In our country, the issue of opiate addiction in motorist has been studied.[7] Environmental and family factors play an important role in the use of drugs among public transportation drivers. A study was conducted in 2013, regarding the lack of accurate statistics on the environmental and family factors behind drug use among public transport drivers. To ascertain to find which factors have the most effect on the tendency to drug use.
| Materials and Methods | | |
In a cross-sectional study (August 1, 2013–December 25, 2013), the prevalence of addictive drug use and its type and the time of consumption were measured using the capture-recapture method. In this sampling method, first, a positive sample was taken from the community to be considered and abandoned. Then, another sample from the same society was taken, assuming the second instance represented a real sample of the society. The fraction of people tagged in this sample was about the same fraction of the labeled individuals in the community. So, if the total number of people in the community is N and the number of samples is n1, and the number of the second sample is n2, and if one of the indicative subjects is found in the second instance, then n1/N = a/n2 and the estimate N = n1n2/a. At the capture stage, 384 of the samples were surveyed and at the recapture stage, 1176 drivers were randomly assigned from drivers. In terms of numbers, 6.2% were buses, 11.7% vans, 9.5% mini buses, all kinds of trucks 68.1%, and 4/5% cars. All drivers who crossed the boundaries of Bandar Abbas, Khuzestan, Mashhad, Tabriz, Zahedan and Rasht during the defined time were selected. The sample size was 169 drivers for each boundary.
Initially, a valid and reliable questionnaire, related to the environmental and family risk factors, was filled by trained questioners then, urine samples were taken. Urinalysis was performed by the Rapid Test for urine (ACON, San Diego, USA). The following aspects were considered when using the kit. The approximate time of tracking different substances in the urine is as follows: cannabis: 1 day–4 weeks, heroin: 3–4 days, morphine: 2–3 days, methadone: 2–3 days, amphetamine: 1–3 days, cocaine: 2–4 days, and benzodiazepine: 3 days–3 weeks. The study was approved by the ethics committee of Shahid Beheshti University of Medical Sciences. Using SPSS version 20, the factors influencing drug use were presented in addition to providing descriptive and analytical statistics with the Kruskal–Wallis and Mantel-Haenszel methods, logistic regression, and Chi-square tests. P < 0.05 was considered as a significant level.
| Results | | |
The results of the experiment in 14.1% of the drivers were positive. The results showed that the driving time was 7.79 ± 3. 1 h per day. The family size in nonaddicted persons was 2. 92 ± 1.7 and in the addicted group was 2.53 ± 1.7. The types of narcotic drugs used were opiate (74.9%), cannon (1.9%), diazepam (0.3%) morphine (2.3%), heroin (0.9%), amphetamine (0.7%), Crystal or Methamphetamine (8.1%), crack (0.7%), naloxone (0.2%), and benzodiazepine (0.1%). [Table 1] shows the most commonly used drugs used by public transport drivers. Nearly two-thirds of them use opium (74.9%). | Table 1: Frequency of narcotic drug use among drivers of public vehicles
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The findings of [Table 2] show that among the environmental factors there is no significant difference between the addicted and nonaddicted, and the existence of addicted friends and the pressure of colleagues' insistence. Cold and hot situations (P < 0.001) and lack of amenities (P = 0.006) show a significant difference between addicted and nonaddicted drivers. Other environmental factors also had a significant difference between addicted and nonaddicted drivers (P = 0.04). | Table 2: Comparison of the percentage of environmental factors affecting drug use among addicted and nonaddicted drivers
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[Table 3] shows that among the affecting family factors there are no significant differences between parents' addiction and lack of religious beliefs among addicted and non-addicted drivers. The most important affecting factor was family poverty (P < 0.001), followed by marital status and its problems (P = 0.002), a large number of children (P = 0.006), and family disputes (P = 0.012). | Table 3: Comparison of the percentage of family factors influencing drug use of addicted and nonaddicted drivers
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A Kruskal–Wallis test showed that, in addicted and nonaddicted drivers, there was significant differences between having welfare facilities, rest during fatigue, and having auxiliary driver with addiction (P < 0.01). The average percentage of drivers who consistently and enthusiastically consume drugs was 43.1 ± 25.5, with a median of 40%, and 29.4 ± 24.4, with a median of 20%, in addicted and nonaddicted drivers respectively. It should be noted that the highest and lowest percentages of continuous drug use or for amusement was reported at 0% and 100% respectively.
More than one-third of drivers mentioned that a good time to consume drugs was at night. Based on views of 44.2% of drivers, the main cause of drug use was increasing driving power, sleep deprivation, and fatigue reduction.
Results show 53.4% of drivers believe that the problem of addiction is related to the presence of addicted persons in the family. Based on logistic regression, the chance of addiction increased by 2.5 times in the presence of an addicted person in the family (confidence interval: 95%, 1.74–3.78).
The average duration of drivers' addiction was 8.8 ± 7.1 (median = 6) years.
| Discussion | | |
The results of the study showed that the prevalence of drug use was 14.1%. The most important affecting environmental factor was cold and heat and lack of amenities. A comparison of addicted and nonaddicted drivers showed a significant difference in the mentioned factors. The most influential factors were family poverty, marriage and its problems, and a large number of children and relatives, and family disputes. A significant difference was also observed in the association of welfare facilities, resting during fatigue, and having a helping hand with addiction between addicted and nonaddicted drivers.
Nearly half the drivers mentioned that enhancing driving power, sleep deprivation, and fatigue reduction were the main causes of drug use.
More than half of the drivers believed that the presence of an addicted person in the family was related to their addiction problem. The presence of an addicted person in the family increased the chance of addiction by 2.5 times. Nearly half of the drivers believed that cargo car drivers were more at risk of addiction. One-third of the drivers said a good time to take drugs was at the night.
If parents are addicted, on the one hand, it reduces their control over their children, and on the other, it is the cause of the transfer of this habit to children. But sometimes some of children avoid this trait because of disgust for the parents' behavior and the habit, but such parents play a major role in their children's addiction. Studies have shown that many addicted drivers had addicted person in their families, such as father, mother, or grandfather.[13],[14] Studies showed that as long as members of the community are bound by their religious beliefs, they and their children do not fall for corruption and delinquency. Poverty, as one of the social issues, affects deviations and increases rates especially in the area of women's crimes, addiction, and theft.[15],[16] The role of the city's geographical environment including the border cities, where drug trafficking is easily carried out, as well as the place of residence, has a major role in the trend toward addiction.[17],[18] Other environmental factors behind crime include poverty, unemployment, inflation, and bad economic conditions, which affect all communities, groups, and institutions.[19] The results of the research showed that the environment plays a very decisive and effective role in the drivers' personality and behavior.[20] The issues related to poor management in the family can create many problems for children. Parental conflict creates a chaotic environment. The child tries to get away from home and spend time with their friends.[21],[22],[23],[24],[25] The existence and prevalence of addiction in the public transport sector is increasing due to the importance of the vast group of drivers and a close relationship drivers' lives have in the potential to create a crisis for a large segment of society.[26],[27] With the use of various strategies, it is possible to diminish the role of drug abuse and its addictive effects.[28],[29],[30] Using the capture-recapture sampling method to determine prevalence rate of drug use among commercial drivers was the strength of this study. There was a possibility that the drivers would aware via other drivers that they were being tested in different axis, it could be considered as a limitation of the study. Simultaneous time testing in all axes could reduce this possibility.
| Conclusion | | |
In the studied population, prevalence of addiction was 14.1%. Among the environmental factors, cold and heat, lack of facilities, and family factors and the family history of addiction had a greater effect on addiction. Addiction test done by the police can be an effective way to reduce addiction. Providing amenities for drivers, solving livelihood problems, planning for drivers aged between 30 and 50 and truck drivers, controlling the entry of opium and glass into the country, reducing the hours of driving, and driving ban against addicted drivers until complete cure could be effective in reducing and stopping the use of drugs among drivers.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
| References | | |
| 1. | Maslach C, Jackson SE. A social psychological analysis. Soc Psychol Health Illn 2013. p. 227.  |
| 2. | Young KS, Yue XD, Ying L. Prevalence estimates and etiologic models of Internet addiction. Internet addiction: A handbook and guide to evaluation and treatment. 2011:3-17. |
| 3. | Morrison DS, Petticrew M, Thomson H. What are the most effective ways of improving population health through transport interventions? Evidence from systematic reviews. J Epidemiol Community Health 2003;57:327-33. |
| 4. | Abdel-Aty M. Analysis of driver injury severity levels at multiple locations using ordered probit models. J Safety Res 2003;34:597-603. |
| 5. | Chi GB, Wang SY. Pattern of road traffic injuries in China. Zhonghua Liu Xing Bing Xue Za Zhi 2004;25:598-601. |
| 6. | Donroe J, Tincopa M, Gilman RH, Brugge D, Moore DA. Pedestrian road traffic injuries in urban Peruvian children and adolescents: Case control analyses of personal and environmental risk factors. PLoS One 2008;3:e3166. |
| 7. | Lankarani KB, Heydari ST, Aghabeigi MR, Moafian G, Hoseinzadeh A, Vossoughi M, et al. The impact of environmental factors on traffic accidents in Iran. J Inj Violence Res 2014;6:64-71. |
| 8. | Bachani AM, Koradia P, Herbert HK, Mogere S, Akungah D, Nyamari J, et al. Road traffic injuries in Kenya: The health burden and risk factors in two districts. Traffic Inj Prev 2012;13 Suppl 1:24-30. |
| 9. | Zhao XG, He XD, Wu JS, Zhao GF, Ma YF, Zhang M, et al. Risk factors for urban road traffic injuries in Hangzhou, China. Arch Orthop Trauma Surg 2009;129:507-13. |
| 10. | Lorini C, Pellegrino E, Mannocci F, Allodi G, Indiani L, Mersi A, et al. Use of seat belts and mobile phone while driving in Florence: Trend from 2005 to 2009. Epidemiol Prev 2012;36:34-40. |
| 11. | Sewell RA, Poling J, Sofuoglu M. The effect of cannabis compared with alcohol on driving. Am J Addict 2009;18:185-93. |
| 12. | Gururaj G. Alcohol and road traffic injuries in South Asia: Challenges for prevention. J Coll Physicians Surg Pak 2004;14:713-8. |
| 13. | Velleman RD, Templeton LJ, Copello AG. The role of the family in preventing and intervening with substance use and misuse: A comprehensive review of family interventions, with a focus on young people. Drug Alcohol Rev 2005;24:93-109. |
| 14. | Matto H, Miller KA, Spera C. Examining the relative importance of social context referents in predicting intention to change substance abuse behavior using the EASE. Addict Behav 2007;32:1826-34. |
| 15. | Valdez A, Kaplan CD, Curtis RL Jr. Aggressive crime, alcohol and drug use, and concentrated poverty in 24 U.S. urban areas. Am J Drug Alcohol Abuse 2007;33:595-603. |
| 16. | Matto HC, Cleaveland CL. A social-spatial lens to examine poverty, violence, and addiction. J Soc Work Pract Addict 2016;16:7-23. |
| 17. | Matto HC, Spera C. Estimating person – Environment transactions on intention to change drug-using behaviors. J Am Psychiatr Nurses Assoc 2009;15:182-90. |
| 18. | Dolan P, Peasgood T, White M. Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being. J Econ Psychol 2008;29:94-122. |
| 19. | Caspi A, Roberts BW, Shiner RL. Personality development: Stability and change. Annu Rev Psychol 2005;56:453-84. |
| 20. | Meier KJ. The Politics of Sin: Drugs, Alcohol and Public Policy: Drugs, Alcohol and Public Policy. Routledge; 2016. |
| 21. | Foran S. Midland Regional Drugs Task Force: Action plan 2006-2008. Drugnet Ireland 2006;20:13. |
| 22. | Walsh JM, Verstraete AG, Huestis MA, Mørland J. Guidelines for research on drugged driving. Addiction 2008;103:1258-68. |
| 23. | Karjalainen KK, Lintonen TP, Impinen AO, Lillsunde PM, Ostamo AI. Poly-drug findings in drugged driving cases during 1977-2007. J Subst Abuse 2010;15:143-56. |
| 24. | Blows S, Ameratunga S, Ivers RQ, Lo SK, Norton R. Risky driving habits and motor vehicle driver injury. Accid Anal Prev 2005;37:619-24. |
| 25. | Kelly E, Darke S, Ross J. A review of drug use and driving: Epidemiology, impairment, risk factors and risk perceptions. Drug Alcohol Rev 2004;23:319-44. |
| 26. | Begg DJ, Langley JD. Identifying predictors of persistent non-alcohol or drug-related risky driving behaviours among a cohort of young adults. Accid Anal Prev 2004;36:1067-71. |
| 27. | Albery IP, Strang J, Gossop M, Griffiths P. Illicit drugs and driving: Prevalence, beliefs and accident involvement among a cohort of current out-of-treatment drug users. Drug Alcohol Depend 2000;58:197-204. |
| 28. | Ford JM, Beveridge AA. Varieties of substance use and visible drug problems: Individual and neighborhood factors. J Drug Issues 2006;36:377-92. |
| 29. | Galea S, Vlahov D. Social determinants and the health of drug users: Socioeconomic status, homelessness, and incarceration. Public Health Rep 2002;117 Suppl 1:S135-45. |
| 30. | McIntosh J, McKeganey N. Addicts' narratives of recovery from drug use: Constructing a non-addict identity. Soc Sci Med 2000;50:1501-10. |
[Table 1], [Table 2], [Table 3]
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