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Commercial drivers using weed and booze on the road

Road traffic crashes account for more than 1.2 million lives lost annually across the globe. This loss is accompanied by almost 50 million injuries, an important contributor to the global disability burden.
Most of this burden is borne by the low and middle income countries of the world. By the year 2030, road traffic injuries will be the fifth leading cause of death; most of this increase is projected to be in the low-middle income countries.
Intoxicants such as alcohol and marijuana affect the mental state of drivers leading to altered perceptions and delayed reactions, increasing the risk for having road traffic crashes.
Alcohol results in impairment of brake reaction time, speed control, steering responsiveness and lane control, while marijuana causes deficits in tracking, attention, reaction time, short-term memory, hand eye coordination, decision making and concentration.
Alcohol also increases the tendency of involvement in high risk behaviours on the road such as speeding; crash culpability is directly associated with intoxicant use.
While up to 21 percent of road traffic crashes may be attributable to alcohol consumption alone in some regions of the world, alcohol consumed in combination with marijuana compounds the risk of a road traffic injury.
Commercial heavy vehicle crashes due to substance abuse can be very hazardous for both the drivers and for other vehicle occupants involved in the crash.
This is kept in check in developed countries by strict substance abuse monitoring mechanisms for this population leading to low levels of usage.
However, studies from low-middle income countries still show 4 percent to 69 percent of injured drivers having alcohol in their blood, although alcohol use is not well documented from the developing world.
A significant proportion of commercial drivers use stimulants to keep awake and relieve fatigue during their long work schedules. This usage is also associated with increased risk for crashes in this population.
Pakistan, a low income country, has the fifth highest annual number of road traffic injury related deaths (40,000) in the world. Commercial drivers contribute to 60 percent of this burden.
Although laws against driving while intoxicated (DWI) do exist in Pakistan and use of alcohol is completely prohibited for all drivers, the effectiveness of these laws in controlling the problem is questionable.
As an Islamic state, the sale and use of alcohol and marijuana is banned for the general public, and they are not considered potential contributors to road traffic crashes.
But with changing patterns of alcohol usage, with the labour class having the highest prevalence of alcohol use, and with marijuana being a common illicit drug of abuse here, Pakistani commercial drivers may not be immune to this driving hazard.
This study was designed to assess the magnitude of alcohol and marijuana usage by commercial drivers on Pakistani roads.
METHODS: We conducted a cross sectional survey at the Pir Wadhai bus/truck station in Rawalpindi, which is a major segregation site of commercial drivers and vehicles in Pakistan.
The study site lies on the major route of goods and passenger transport (Karachi to Khyber), with drivers driving across Pakistan stopping here for loading or offloading goods for transportation to other cities/provinces, or for passenger transport.
Subjects included in the study were those individuals who either transported goods in heavy vehicles (trucks) or drove vehicles carrying more than 15 passengers across the country.
All drivers driving a commercial vehicle, part time or full time, and who drove more than 160 kilometres daily were eligible to be included in the study. Drivers driving on intra city routes and those who had a language barrier problem were excluded.
A structured questionnaire was designed and translated into Urdu, the local language, and self reported information was collected through interviews. We developed the questionnaire with the help of a panel of experts on road traffic injuries in Pakistan.
The questions were then discussed with a group of professional drivers, following which pretesting was done on 90 commercial drivers (10 percent of the sample size) by data collectors under the supervision of the principal investigator.
Some questions had to be rephrased and the sequence of questions was reorganised based on the feedback from the discussion and pretesting.
We decided to ask questions on personal marijuana or alcohol use at the end of the interview to minimise non-response.
Interviews were done privately where participants could not be overheard and they were assured of confidentiality of the divulged information. Drivers were asked if they used alcohol or marijuana while driving, and if yes, then how frequently.
Their responses were categorised, ranging from “always” to “never”. The drivers’ perceptions about risks associated with substance abuse and driving were also assessed.
They were asked about their opinions on why commercial drivers resort to alcohol and marijuana use while they drive (“Why do you think commercial drivers drink alcohol while driving?” / “Why do you think commercial drivers use marijuana while driving?”).
These opinions were recorded as open responses, in the drivers’ own words, and were later encoded at the time of editing.
This information was taken prior to asking about personal substance abuse and was collected from all drivers.
In addition to alcohol and marijuana use, they were asked about stimulant pill usage and frequency while driving.
Also, basic socio-demographic information such on age, sex, ethnicity, education, income and marital status was collected from the drivers.
Time location cluster sampling was used as the sampling technique. A cluster was defined as a “stand” at which vehicles were parked for transport of goods or passengers at any one of the three eight-hour sampling time intervals.
In all, 59 physical sites (stands) were present at the bus station, which were converted to a total of 177 time location clusters. We randomly selected 78 clusters and recruited the study participants from each one of these.
Sampling was done at three eight-hour time intervals during the day so as to get a representative sample of drivers driving at different times of the day. Finally, 11 subjects were recruited from each cluster after obtaining informed consent.
During our literature review, we did not come up with any estimates for the proportion of commercial or general drivers using alcohol or marijuana while driving in Pakistan.
Thus, we calculated the sample size required for the study using a proportion of 0.5, which gives the maximum sample size for estimation of any prevalence.
Using a 95 percent confidence level, a bound on error of 0.05 and a design effect of 2, the minimum required sample size for the study objectives was 769.
We inflated the required sample size by 10 percent to cater for the non-response expected in the study. The final sample size required was of 846 subjects and 857 subjects were recruited for the study.
The probability of selection of the subjects in the different clusters was not proportional to size and a fixed number of individuals were taken from each cluster (11) to achieve the required sample size.
We performed weighted analysis to overcome this issue. Weights were calculated based on the size of the cluster, assessed by the average number of vehicles parked at that cluster.
Basic descriptive statistics were calculated for estimation of prevalence of the different characteristics in these commercial drivers.
Estimates were calculated for the overall population, and separately for truckers and passenger vehicle drivers.
Differences in the estimates of the two groups were assessed by using student’s t-test, chi-squared test and Fisher’s exact test, where appropriate.
Logistic regression was used to calculate the unadjusted odds ratios for association with having a history of a crash in the last five years.
Data analysis was done using Statistical Package for the Social Sciences version 17 with the complex sample analysis module.
Ethical approval was obtained for the study from the Ethics Review Committee of the Aga Khan University in Karachi.
RESULTS: A sample of 857 commercial drivers was interviewed with a total response rate of 81 percent. All the individuals included in the sample were male, as no female was found in this profession.
There were two major categories of drivers; those driving load carrying vehicles and those involved in the transport of passengers.
Age ranged between 18 years and 68 years, and the mean age for all drivers was found to be 38.3. Most of these drivers belonged to the Punjabi ethnicity (45 percent).
The mean of the number of completed school years was 5.2 in the total, but was 4.6 in the truckers compared to 5.8 in the passenger vehicle drivers, which is significantly higher.
Alcohol was used by more than 6 percent of the sample. The rate was significantly higher in truck drivers and showed an increasing trend with age. People above 50 years of age had a usage rate of 11.3 percent.
Drivers of Sindhi ethnicity exhibited the highest prevalence of DWI (15 percent), followed by Pathans (8.2 percent).
No statistically significant association was present between years of education and alcohol use; although the rate of usage was highest in drivers with more than 10 years of schooling (13 percent). Alcohol usage did not vary much across different income groups.
Drivers having had a crash in the last five years had an alcohol usage rate of more than 12 percent compared to only 5.5 percent in drivers who had not had an accident.
Marijuana usage rate was almost 23 percent for the driver sample. Again, this was significantly higher in truckers (30 percent) compared to bus drivers (14.7 percent).
No significant difference in usage was seen between the different age groups in using marijuana while driving.
Sindhis had the highest usage rate (52 percent), but the second highest usage was in Kashmiris (32 percent).
Education did have an effect on marijuana use, with the lesser educated drivers showing higher rates of marijuana usage.
Marijuana was used by 30 percent of the drivers involved in a road crash in the last five years compared to 22 percent in those without a history of crashes. Alcohol and marijuana were used in conjunction by 4.6 percent of the sample.
Drivers who drove trucks, had Sindhi ethnicity, had more than 10 years of education or were over 50 years old had the highest conjunction usage rates in the sample. Almost 8 percent of the drivers also reported using stimulant pills while driving on the road.
In addition to this, the drivers were asked their opinions on why commercial drivers resort to alcohol and marijuana use while driving on long routes.
Major response categories included usage of alcohol and marijuana for relieving fatigue, sleepiness, mental peace and calm, and, of course, dependence.
We used regression analysis to elucidate potential predictors of alcohol and marijuana use while driving.
Besides previously mentioned factors, we found higher risks of alcohol use in drivers who were divorcees or widowers compared to those who were married or never married. Marijuana use risk was significantly higher in drivers who reported they were stressed while driving.
Road rage behaviours such as fighting with people on the road and racing with other drivers were predictors of both alcohol and marijuana use.
Drivers who reported making mistakes while driving such as speed miscalculation of other vehicles were also at a higher risk.
DISCUSSION: Our results show that DWI and marijuana use along with stimulant pill use is a major issue in the commercial driver population of Pakistan.
Currently, owing to the fact that sale and use of alcohol is illegal in the Muslim dominant Pakistani population, alcohol use while driving is not considered a major risk factor for road traffic injuries.
This common belief is contradictory to our study findings, which show up to 10 percent of truck drivers involved in alcohol use while driving.
Our estimates are based on self reports, and as the practice of alcohol use is illegal and frowned upon in general society, we can safely assume that our findings are underestimated and the actual problem is of a greater magnitude.
Our results show higher use of alcohol and marijuana in truck drivers compared to bus drivers. A possible explanation for this could be the conditions in which these two different groups drive.
Bus drivers transport passengers in their vehicles resulting in there being less of a chance for the driver to engage in such activities without being reprimanded by the passengers.
Prevalence of DWI and marijuana use among commercial drivers is high in Pakistan compared to other countries.
Studies on commercial drivers also show lower estimates compared to our study (0.5 percent to 4.9 percent).
This difference may be due to lapses in the enforcement of drug and alcohol use laws by the Pakistani highway police.
Some western studies also show high prevalence of substance abuse, but these findings are likely to be overestimated as they have been done in drivers suspected and then checked for substance abuse by the traffic police.
The drivers’ opinions on why alcohol and marijuana is used indicate a lack of awareness of the hazards associated with this practice.
Most drivers believed that substance abuse relieves fatigue, makes the journey easier, and even prevents sleepiness, although sleep debt accumulates and cannot be relieved without normal restorative sleep.
This presents us with an avenue for intervention to reduce substance abuse in this population. Awareness campaigns for behaviour modification are known to be effective, especially when coupled with promotion of alternative behaviours.
The success of these campaigns has been greater when they are combined with proper enforcement of stringent laws on drunk driving and substance abuse, and improved awareness of these laws and consequences of violations.
Laws against DWI are ineffective in the country owing to the lack of use of random breath analyser tests and blood tests on drivers suspected of DWI.
Evidence of reduced fitness to drive as a consequence of drug consumption is essential for proper law-enforcement.
Pakistan still does not have a law specifying the allowable blood alcohol concentration of drivers on the road.
Designating a blood alcohol content level, random checks and breathalyser tests on these drivers on the road, combined with appropriate awareness campaigns may prove to be effective to resolve this dilemma.
It is also important to note that regulations need to be enforced not just on the roads but also in the commercial transport organisations that hire drivers to transport goods or passengers.
Regular checks of drug and alcohol should be carried out in all drivers working for such companies for continued employment and the results should be available to law-enforcement authorities.
Our results show significant variations in substance abuse among drivers of different ethnicities and socioeconomic strata.
These findings indicate psychosocial elements influencing the use of drugs and alcohol in this population that were not explored in our study.
Further investigations looking into this aspect may clarify the relationships between social, cultural and psychological risk factors for DWI and provide critical information for targeted and appropriate interventions.
The commercial drivers of large vehicles are a mobile population, spending most of their time on the road and stopping at segregation points from time to time.
Our study was done at one of the biggest bus/truck stations in the country, lying on the Karachi-Khyber route that runs across the country.
The drivers stopping at this point are representative of the Pakistani large vehicle commercial driver population.
Furthermore, we used time location cluster sampling, a type of probability sampling for mobile populations, minimising any selection bias in our results.
Our study included general commercial drivers of large vehicles driving on highways, giving us the prevalence estimates for this population and not only of those involved in crashes. This information is not frequently seen in the scientific literature.
A limitation of the study is that we did not assess blood alcohol levels and instead resorted to self reporting of the practice by the drivers.
A high level of agreement between reported and observed information on crashes and road traffic injuries is seen, but reported information on illegal or socially unaccepted activities such as substance abuse while driving is generally underreported.
Considering our objectives and the fact that alcohol use is illegal by law and disliked in the Muslim dominant Pakistani society, we believe that self reported alcohol use while driving is a reasonable indicator for the presence of DWI and marijuana use in this population. It can be inferred that the actual problem may be greater than what our study recorded.
CONCLUSION: The first step in controlling this situation is recognising that the problem actually exists. We need to be open about the fact that, despite laws banning alcohol consumption in Pakistan, it is still being used by the driver population of the country.
Once this hurdle is crossed, we need to implement more focused and effective interventions controlling alcohol use while driving, along with studies objectively measuring their effect.

Extracted from the research article titled ‘Alcohol and marijuana use while driving – an unexpected crash risk in Pakistani commercial drivers: a cross-sectional survey’ authored by Mohammed Umer Mir, Imran Khan, Bilal Ahmed and Junaid Abdul Razzak.

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