We examined sexually transmitted infection (STI), HIV, and hepatitis virus prevalence and risk behaviors among truck drivers. We asked participants about their risk behaviors, and we screened them for STIs, HIV, and hepatitis infections. We used logistic regression to identify factors associated with outcomes. Of the 652 enrolled participants, 21% reported sex with sex workers or casual partners in the prior year. Driving solo (odds ratio [OR]=15.04; 95% confidence interval [CI]=1.92, 117.53; P=.01), history of injection drug use (IDU; OR=2.69; 95% CI=1.19, 6.12; P=.02), and history of an STI (OR=2.47; 95% CI=1.19, 5.09; P=.01) were independently associated with high-risk sexual behaviors. Fourteen percent of participants reported drug use in the previous year, and 11% reported having ever injected drugs. Participants tested positive as follows: 54 for HCV antibodies (8.5%), 66 for hepatitis B anticore (anti-HBc) antibodies (10.4%), 8 for chlamydia (1.3%), 1 for gonorrhea (0.2%), 1 for syphilis (0.2%), and 1 for HIV (0.2%). History of injecting drugs (OR=26.91; 95% CI=11.61, 62.39; P<.01) and history of anti-HBc antibodies (OR=7.89; 95% CI=3.16, 19.68; P<.01) were associated with HCV infection. Our results suggest a need for hepatitis C screening and STI risk-reduction interventions in this population.
|Objectives. We examined sexually transmitted infection (STI), HIV, and hepatitis virus prevalence and risk behaviors among truck drivers.|
|Methods. We asked participants about their risk behaviors, and we screened them for STIs, HIV, and hepatitis infections. We used logistic regression to identify factors associated with outcomes.|
|Results. Of the 652 enrolled participants, 21% reported sex with sex workers or casual partners in the prior year. Driving solo (odds ratio [OR]=15.04; 95% confidence interval [CI]=1.92, 117.53; P=.01), history of injection drug use (IDU; OR=2.69; 95% CI=1.19, 6.12; P=.02), and history of an STI (OR=2.47; 95% CI=1.19, 5.09; P=.01) were independently associated with high-risk sexual behaviors. Fourteen percent of participants reported drug use in the previous year, and 11% reported having ever injected drugs. Participants tested positive as follows: 54 for HCV antibodies (8.5%), 66 for hepatitis B anticore (anti-HBc) antibodies (10.4%), 8 for chlamydia (1.3%), 1 for gonorrhea (0.2%), 1 for syphilis (0.2%), and 1 for HIV (0.2%). History of injecting drugs (OR=26.91; 95% CI=11.61, 62.39; P<.01) and history of anti-HBc antibodies (OR=7.89; 95% CI=3.16, 19.68; P<.01) were associated with HCV infection.|
|Conclusions. Our results suggest a need for hepatitis C screening and STI risk-reduction interventions in this population. (Am J Public Health. 2009;99: 2063-2068. doi:10.2105/AJPH.2008.145383)|
Studies in Africa, Southeast Asia, Eastern Europe, and South America have linked long-distance truck drivers and commercial sex workers with the dissemination of sexually transmitted infections (STIs), including human immunodeficiency virus (HIV) infection. 1-15 Evidence suggests that the spread of HIV throughout central Africa was facilitated by truck traffic along the Kinshasa-Mombasa highway. 1,2 High rates of STIs and HIV have been observed among long-distance truck drivers in India and Bangladesh, where truck drivers are implicated in the spread of STIs and HIV into rural areas and areas surrounding international border crossings.7-11 Results from studies in Eastern Europe suggest risky behavior and increased syphilis rates among truck drivers.12,13 Additionally, studies among truck drivers in Brazil show low levels of perceived risk of infection despite high rates of syphilis and high levels of risky behaviors, e.g., unprotected sex with multiple partners, including commercial sex workers, and high levels of drug use.14,15
Little is known about the roles that longdistance truck drivers and sex workers at truck stops might play in spreading STIs or HIV in the United States. An ecological study in North Carolina examining reported syphilis cases during an outbreak found that the counties along interstate highways had higher syphilis rates than other counties in the state.16 The authors theorized that truck drivers and sex workers might have played a role in this finding, but there were no data to support this. A 1995 ethnographic study in Florida examining STI risk behaviors of truck drivers found low levels of perceived STI or HIV risk but high levels of risky behaviors.17 However, no laboratory studies were conducted; therefore, there are no data estimating the prevalence of STIs among long-distance truck drivers in the United States.
To examine the environments in which STIs, HIV, and hepatitis virus are transmitted, and to assess the prevalence of STIs, HIV infection, and hepatitis virus infection and risk behaviors among truck drivers, we conducted a risk assessment and screening for STIs, HIV, and hepatitis among truck drivers traveling through New Mexico.
From December 2004 through March 2006, we used mobile clinic vans to conduct this study at a large trucking terminal in Albuquerque, New Mexico, and at 10 truck stops on interstate highways elsewhere in the state. The 10 truck stops ranged in size from small (parking capacity approximately 50) to very large (more than 400 parking places). Nine truck stops had 24-hour restaurants, 4 had private security patrolling the lots, and 2 were located on Indian reservations and associated with casinos. Seven truck stops were on Interstate 40, running east-west through New Mexico; the rest were located in the southern part of the state on Interstate 25, Interstate 10, and at the intersection of interstates 285 and 360.
Truck driverswere recruited via citizens' band radio and leaflets distributed at trucking venues. Any long-distance truck driver aged 21 years or older who had a valid commercial driver's license, who traveled interstate, and who did not return home nightly was eligible for the study. Participants provided verbal informed consent and completed a face-to-face interview conducted by a study team member. STI and hepatitis screening was conducted after the interview. Interviews lasted 15 to 30 minutes, and each participant was reimbursed $35 cash.
The structured interview form collected demographics, driving history (e.g., years working as a driver), sexual behavior (e.g., condom use, STI history), and drug and alcohol use. All interviews were conducted anonymously, with no identifying or locating information collected, and all interview forms were coded with unique numbers.
STI, HIV, and Hepatitis Screening
Blood and urine samples were collected from study participants at the conclusion of the interview. We used a nucleic acid amplification test (Aptima Combo 2, Gen-Probe Inc, San Diego, CA) to test urine samples for chlamydia and gonorrhea. Blood serum samples were tested for syphilis,HIV, hepatitis B virusmarkers, andHCV markers. Syphilis antibodieswere assayed using a rapid plasma reagin (RPR) assay (Wampole Impact Syphilis RPR Card Test, Inverness Medical ProfessionalDiagnostics,Waltham,MA); positive RPR tests were confirmed using a Treponema pallidum particle agglutination (TPPA) assay (Serodia-TP-PA, Fujirebio Diagnostics, Malvern, PA). HIV antibodies were assayed using an HIV enzyme immunoassay (EIA) (Vironostika HIV- 1Microelisa System, bioMe'rieux, Marcy l'Etoile, France); positive EIA results were confirmed using an HIV-1Western blot assay (Genetic Systems HIV-1Western Blot, Bio-Rad Laboratories, Hercules, CA). Hepatitis B surface antigen (HBsAg) was assayed using the Genetic Systems HBsAg 3.0 test (Bio-Rad Laboratories), and total antihepatitis B core antibodies (anti-HBc) were assayed using the ETI-AB-COREK PLUS assay (DiaSorin, Saluggia, Italy). HCV antibodies were assayed using the ORTHO HCV version 3.0 ELISA test (Ortho Clinical Diagnostics, Rochester, NY). Positive test results for total HCV antibody were reported with a signal-to-cutoff ratio. A signal-to-cutoff ratio of at least 3.8 is predictive of a true positive test result more than 95% of the time.18
All laboratory testing was performed by the Scientific Laboratory Division of the New Mexico Department of Health. No specimens were tested for drugs or alcohol.
No identifying information was collected; thus, it was possible that drivers volunteered more than once. To identify potential duplicates, data were examined to identify drivers reporting the same response for age, gender, race, ethnicity, marital status, number of years driving, and home state. No potential duplicates were identified in this manner.
Truck drivers were classified by type of driver: company drivers (union and nonunion), lease drivers, and owners/operators. Company drivers are employees of union and nonunion shops; all loads, driving schedules, and routes are arranged for them by the company. For union employees, the driving schedule is usually a set route. For nonunion employees, the driving schedules and routes are highly variable and often are modified while the driver is on the road. Lease drivers own their own truck and lease it to 1 or more companies. These drivers have some flexibility in their driving schedules and routes, and they usually have their loads arranged for them by the company to which they lease their truck. Owner/operator drivers are completely independent; these drivers own their own trucks, arrange their own loads, and determine their own driving schedule and routes.
We used EpiInfo version 6 (Centers for Disease Control and Prevention, Atlanta, GA) and Intercooled Stata version 9 (StataCorp LP, College Station, TX) to conduct data analyses and all logistic regressions (descriptive, univariate, stratified, and multivariate). Numeric variables were analyzed as continuous variables. Age and number of years driving were also examined as categorical variables: age was divided into10- year age groups, and years driving was divided into groups of less than1year,1to5 years,6to10 years, and more than 10 years. For multivariate logistic regression analyses examining risk factors independently associated with having sex with a sex worker, drug use, and positive laboratory test results, all variables found by univariate analyses to be significantly associated with the outcomeat P£.05were included in analyses.
This study was conducted 2 to 3 times per month from December 2004 through March 2006 at the trucking terminal or a truck stop. A total of 652 drivers enrolled. Demographic characteristics are shown in Table 1. Most drivers resided in 44 of the contiguous 48 US states, with a few living in Canada. Thirty-nine (6%) had been driving for less than 1 year, and half of the drivers had been driving for more than 10 years (mean=13 years; range=1-48 years). Drivers reported being away from home a mean of 288 nights per year (range=60- 365 nights). However, the time away from home was not evenly distributed throughout the year. Some drivers (<10%)>
A number of differences were found when driver characteristics were examined by gender. Female drivers were significantly more likely than male drivers to have attended or completed college (odds ratio [OR]=2.79; 95% confidence interval [CI]=1.58, 4.93; P<.01) and to always drive as part of a team (OR=5.76; 95% CI=10.55, 19.45; P<.01). Of drivers always driving as part of a team, female drivers were significantly more likely to drive with their spouse or steady partner than male drivers were (OR=8.99; 95% CI=3.43, 24.16; P<.01). Female drivers also reported significantly fewer years driving than male drivers (mean 7.4 years for women vs 14.0 years for men; P<.01) and a lower mean annual income than men ($50000 vs $61000).
Of the 652 drivers in this study, 5% were union employees, 71% were nonunion employees, 19% were lease drivers, and 5% were owner/operators. Union drivers reported almost always being home on weekends and spent significantly less time away from home than any of the other 3 types of drivers (mean=219 nights away from home per year vs 291, 296, and 278 nights away from home per year for nonunion drivers, lease drivers, and owner/operators, respectively; P<.01). Union drivers were also significantly more likely to always drive as part of a team (45% vs 20%, 14%, and 3% respectively), to have health insurance (100% vs 73%, 51%, and 57% respectively), and to have paid sick leave (100%vs 21%, 5%, and 0%; P<.01 for all analyses).
Regarding health status, 31% of drivers reported their current health as fair or poor, with obesity, poor diet, and lack of exercise being common concerns. Health insurance coverage was reported by 67% of drivers, but only 19% had paid sick leave. For unionized drivers, health insurance was a benefit provided with employment. Most nonunion company drivers could purchase insurance through the company for which they worked; however, many said the cost was prohibitive. The high cost of insurance was also the main reason given by lease drivers and owner/operators for not purchasing health insurance coverage. Even though two thirds of the drivers had health insurance, they reported great difficulty accessing care and locating providers. As a result, drivers reported continuing to drive when ill (unless extremely ill) and using overthe- counter medications to alleviate symptoms
Alcohol Use, Drug Use, and Sexual Risk Behaviors
Twenty-five percent of drivers reported no alcohol consumption in the previous year, and 33% reported rarely drinking alcohol. Only 270 (41.4%) reported drinking 1 or more drinks per week (range=1-60 drinks/week). Binge drinking ([double dagger]5 drinks at 1 sitting) in the previous year was reported by 47% of drivers. Among these, 21% reported binge drinking at least 10 times in the previous year (mean=10; range=1-360).
The mean number of reported lifetime sexual partners was 48 (median=15; range=1 to>1000), and 3% of male drivers reported ever having sex with a man. Previous STI treatment was reported by 132 drivers (gonorrhea 12%, chlamydia 5%, herpes 2%, syphilis 1%, and human papillomavirus 1%).
Having sex with a sex worker in the previous 5 years was reported by 74 male drivers (13% of male drivers) and ranged from 1 time to more than 100 times. Forty-eight male drivers also reported having sex with a sex worker in the previous year (range=1-30 times). Sex with a casual partner (e.g., pick-up at bars, Internet contacts, another driver, truck stop employees) was reported by10 female and126 male drivers (21% of all drivers) for the previous 5 years and by 7 female and 73 male drivers (12% of all drivers) for the previous year. Among drivers reporting sex with a sex worker, 46% stated they used condoms less than half of the time, and 32% reported never having used condoms. Similar levels of condom use was reported for sex with a casual partner. Half the drivers reported that they had not used a condom the last time they had sex with a sex worker or casual partner. There were no statistically significant differences in reported condom use for drivers who reported having a spouse or steady partner.
In multivariate logistic regression, only being a solo driver (OR=15.04; 95% CI=1.92, 117.53; P=.01), having a history of current or prior injection drug use (IDU; OR=2.69; 95% CI=1.19, 6.12; P=.02), and having a history of an STI (OR=2.47: 95% CI=1.19, 5.09; P=.01) remained independently associated with having sex with a sex worker in the previous year (Table 2). Having a current partner (OR=0.44; 95% CI=0.22, 0.89; P=.02) and increasing number of years driving (OR=0.95; 95% CI=0.92, 0.99; P=.01) remained independently associated with a decreased likelihood of having sex with a sex worker in the previous year.
Drivers were asked about their use of ecstasy, heroin, crack cocaine, powder cocaine, methamphetamines, and marijuana in the previous 1 and 5 years. Overall, 195 (30%) reported any drug use in the previous 5 years and 93 (14%) in the previous year. However, 25% of the 652 drivers had been driving less than 5 years and 6% for less than 1 year. Thus, analysis of reported drug use among working drivers included only those working during the entire time period being analyzed, i.e., 486 drivers working at least 5 years and 613 drivers working at least 1 year.
For the 486 drivers working at least 5 years, 126 (26%) reported any drug use during those 5 years, and 65 (14%) reported drug use in the previous 1 year. This significant decrease in reported drug use (P<.01 for marijuana and methamphetamine; P=.03 for powder cocaine) was reported to be a direct result of required random drug testing20 and the consequences of a positive test result, i.e., loss of job. For the 613 drivers working at least 1 year, 85 (14%) reported any drug use during that year (Table 3). Of drivers reporting any drug use in the previous year, 34 reported using marijuana at least monthly and 19 weekly, 17 used methamphetamines at least monthly and14 weekly, 7 used cocaine at least monthly, and 7 used crack at least monthly. A history of IDU was reported by 70 (11%) of all 652 drivers, and IDU in the previous year was reported by 9 (1%) drivers. Of the 9 drivers reporting recent IDU, 3 reported usingmultiple drugs, 4 injected heroin, 4 injected cocaine, and 4 injected methamphetamines.
Univariate and multivariate logistic regression analyses were used to identify risk factors associated with reported drug use in the previous year. Only consuming at least 1 drink per week in the previous year (OR=2.44; 95% CI=1.26, 4.71; P=.01) remained independently associated with increased likelihood of using drugs, and only having health insurance (OR=0.59; 95% CI=0.35, 0.99; P=.05) remained independently associated with a decreased risk of drug use (Table 2).
STI and Hepatitis Screening Test Results
Urine specimens were obtained from 631 (96.8%) drivers and were tested for chlamydia and gonorrhea. Blood specimens were obtained from 636 (97.5%) drivers and were tested for HIV, syphilis, and hepatitis B and C. One male driver had a positive test for gonorrhea, and 8 drivers (4 men, 4 women) had positive test results for chlamydia (Table 4). One man with a history of IDU had positive test results for HIV (ELISA and Western blot). One man with a history of prior treatment of syphilis had a reactive test for syphilis (RPR 1:4 and TPPA positive). Three male drivers were HBsAg positive, and 66 others (10.4%; 5 women and 61 men) had remote resolved hepatitis B virus infection, i.e., a positive serum anti- HBc antibody test with a negative HBsAg test.
A total of 54 drivers (8.5%; 4 women and 50 men) had a positive test result for HCV antibodies by EIA. The anti-HCV signal-tocutoff ratio for all but 1 of these drivers was greater than 4.2, indicating a high likelihood that the EIA results were true positive results.18 Of these 54 drivers, 36 (66.7%) reported prior or current IDU (2 of these 36 drivers also reported receiving blood transfusions prior to 1990, and 1 other had worked as an emergency medical technician); 2 reported blood transfusions prior to 1990; 1 worked as a dialysis nurse; 1 had a spouse with HCV; and for 14 there was no risk identified in the interview. Five already knew they had HCV, and 1 had undergone treatment for HCV. Of the 54 drivers positive for HCV, 28 (52%) reported having health insurance, 43 (80%) reported drinking alcohol in the previous year, 27 (50%) reported at least 1 episode of binge drinking in the previous year, and 11 (20%) reported binge drinking more than 10 times in the previous year. In multivariate analyses comparing drivers with positive HCV test results to those with negative results, history of IDU (OR=26.91; 95% CI=11.61, 62.39; P<.01) and having a positive anti-HBc antibody test (OR=7.89; 95% CI=3.16, 19.68; P<.01) were highly associated with positive HCV test results (Table 2).
Similar to results from studies of truck drivers in developing countries and in Florida, drivers in this study reported engaging in risky behaviors associated with STIs.1-15,17 However, STI prevalence was low. Multiple factors may contribute to this finding. First, rates of STIs in the United States among the general population are lower than in developing countries, particularly for countries with high rates of HIV infection. Second, sexual contact with commercial sex workers was reported by a small minority of study participants. Additionally, half of the study participants reported using a condom during their last sexual encounter. Finally, the sample was a voluntary, convenience sample; it is possible that those with STIs choose not to volunteer.
An interesting finding was the high prevalence of HCV infection. The rate in this sample, 8.5%, was higher than the highest rate (4.3% in people aged 40-49 years) reported in the third National Health and Nutrition Examination Survey (1988-1994).21Two thirds of the HCVantibody- positive truck drivers reported previous or current IDU as a risk behavior likely related to HCV infection. Most participants who were HCV positive were unaware of their infection. This finding is significant because drivers also reported ongoing alcohol consumption, including binge drinking. Alcohol consumption is a strong independent risk factor for the progression of HCV-associated liver disease that potentially can be modified through patient education and behavior change.22,23
We found that14%of drivers reported using an illicit drug during the previous year, with marijuana use reported more than twice as often as methamphetamine or cocaine use. Although no drug or alcohol testing was included in this study, the self-reported drug use among study participants was similar to the results of voluntary drug testing in Oregon in April 2007, when 10% of drivers tested positive for controlled substances.24 The Oregon study lent some validity to the self-reported drug use of drivers in the current study. Although most drivers in the current study reported occasional drug use, some reported regular use, including IDU. This presents a potentially grave safety issue if any drivers are under the influence while driving.
Access to health care was repeatedly cited as a major concern for the truck drivers, a finding that has been previously documented.25 Even though most drivers had health insurance, they reported barriers to use. Their jobs necessitate mobility and routines that impede scheduling medical or dental appointments. Efforts such as establishing networks of medical or dental facilities with flexible hours at locations near trucking venues may provide improved access to health services for this population.
This study has several limitations. The sample was a convenience sample of drivers traveling across New Mexico who volunteered to participate. Therefore, the results may not be representative of all US truck drivers. No information was available for drivers who did not volunteer. Behaviors of these drivers may be different from those who volunteered; drivers engaging in risky behaviors may have chosen not to participate. The demographic breakdown of drivers in this study was very similar to that estimated by the Department of Labor and the American Trucking Association. In 2000, the American Trucking Association estimated that 80% of truckers were White, 9.7% Hispanic, 11.7% African American, 25.7% did not complete high school, 59% were aged 35 to 54 years, and 4.6% were women.26 The Department of Labor estimates that up to 12% of drivers are women.27 However, there may be significant differences in risk factors or STI prevalence between drivers traveling through New Mexico and those traveling the East Coast or between cities with high rates of STIs or HIV.
Additionally, the study design included a face-to-face interview, and data were selfreported. Therefore, social desirability may have caused under- or overreporting of risky behaviors, and drivers may have been reluctant to report use of alcohol or illegal drugs.
Despite these limitations, this study contributes to the literature on STIs and HIV among US truck drivers by providing information on drivers' current health needs and opportunities for intervention among them. Prevalence of STIs and HIV was low, but drivers reported risky behaviors. Our results suggest that drivers may benefit from HIV, STI, and hepatitis prevention interventions embedded within comprehensive wellness programs that are convenient and easily integrated into the mobile environment of the trucking industry. Additional studies including different US trucker populations and more rigorous study designs should be conducted to confirm these results and provide more data to inform the development of STI and HIV intervention and wellness programs for the study population.
|[Reference] » View reference page with links|
|1. Bwayo J, Plummer F, Omari M, et al. Human immunodeficiency virus infection in long-distance truck drivers in East Africa. Arch Intern Med. 1994;154:1391-1396.|
|2. Nzyuko S, Lurie P, McFarland W, Leyden W, Nyamwaya D, Mandel JS. Adolescent sexual behavior along the Trans-Africa Highway in Kenya. AIDS. 1997; 11(suppl 1):S21-S26.|
|3. Carswell JW, Lloyd G, Howells J. Prevalence of HIV- 1 in east African lorry drivers. AIDS. 1989;3:759-761.|
|4. Karim QS, Karim SS, Soldan K, Zondi Ml. Reducing the risk of HIV infection among South African sex workers: socioeconomic and gender barriers. Am J Public Health. 1995;85:1521-1525.|
|5. Ramjee G, Gouws E. Prevalence of HIV among truck drivers visiting sex workers in KwaZulu-Natal, South Africa. Sex Transm Dis. 2002;29:44-49.|
|6. Morris M, Podhisita C, Wawer MJ, Handcock MS. Bridge populations in the spread of HIV/AIDS in Thailand. AIDS. 1996;10:1265-1271.|
|7. Singh YN, Malaviya AN. Long distance truck drivers in India: HIV infection and their possible role in disseminating HIV into rural areas. Int J STD AIDS. 1994;5:137-138.|
|8. Manjunath JV, Thappa DM, Jaisankar TJ. Sexually transmitted diseases and sexual lifestyles of long-distance truck drivers: a clinico-epidemiologic study in south India. Int J STD AIDS. 2002;13:612-617.|
|9. Gibney L, Saquib N, Metzger J, Choudhury P, Siddiqui M, Hassan M. Human immunodeficiency virus, hepatitis B, C and D in Bangladesh's trucking industry: prevalence and risk factors. Int J Epidemiol. 2001;30:878-884.|
|10. Gibney L, Macaluso M, Kirk K, et al. Prevalence of infectious diseases in Bangladeshi women living adjacent to a truck stand: HIV/STD/hepatitis/genital tract infections. Sex Transm Infect. 2001;77:344-350.|
|11. Gibney L, Saquib N, Macaluso M, et al. STD in Bangladesh's trucking industry: prevalence and risk factors. Sex Transm Infect. 2002;78:31-36.|
|12. Grgic-Vitek M, Klavs I, Potocnik M, Rogl-Butina M. Syphilis epidemic in Slovenia influenced by syphilis epidemic in the Russian Federation and other newly independent states. Int J STD AIDS. 2002;13(suppl 1): 2-4.|
|13. Kulis M, Chawla M, Kozierkiewicz A, SubataTruck Drivers E, Sex Casual: An Inquiry Into the Potential Spread of HIV/AIDS in the Baltic Region. Washington, DC: World Bank; 2004.|
|14. Lacerda R, Gravato N, McFarland W, et al. Truck drivers in Brazil: prevalence of HIV and other sexually transmitted diseases, risk behavior and potential for spread of infection. AIDS. 1997;11(suppl 1):S15-S19.|
|15. Malta M, Bastos FI, Pereira-Koller EM, Cunja MD, Marques C, Strathdee SA. A qualitative assessment of long distance truck drivers' vulnerability to HIV/AIDS in Itajai, southern Brazil. AIDS Care. 2006;18:489-496.|
|16. Cook RL, Royce RA, Thomas JC, Hanusa BH. What's driving an epidemic? The spread of syphilis along an interstate highway in rural North Carolina. Am J Public Health. 1999;89:369-373.|
|17. Stratford D, Ellerbrock TV, Akens JK, Hall HL. Highway cowboys, old hands, and Christian truckers: risk behavior for human immunodeficiency virus infection among long haul truckers in Florida. Soc Sci Med. 2000;50:737-749.|
|18. Alter MJ, Kuhnert WL, Finelli L, Centers for Disease Control and Prevention. Guidelines for laboratory testing and result reporting of antibody to Hepatitis C virus. MMWR Recomm Rep. 2003;52(RR03):1-16.|
|19. Federal Motor Carrier Safety Administration. Hours-of-Service Regulations. Available at: http:// www.fmcsa.dot.gov/rules-regulations/topics/hos/hos- 2005.htm. Accessed June 15, 2008.|
|20. Federal Motor Carrier Safety Administration. Alcohol and Drug Rules. Available at: http://www.fmcsa. dot.gov/rules-regulations/topics/drug/engtesting.htm. Accessed June 15, 2008.|
|21. Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ. The prevalence of Hepatitis C virus infection in the United States, 1999 through 2002. Ann Intern Med. 2006;144:705-714.|
|22. Bell BP, Manos MM, Zaman A, et al. The epidemiology of newly diagnosed chronic liver disease in gastroenterology practices in the United States: results from population-based surveillance. Am J Gastroenterol. 2008;103:2727-2736.|
|23. Bedogni G, Miglioli L, Masutti F, et al. Natural course of chronic HCV and HBV infection and role of alcohol in the general population: the Dionysos Study. Am J Gastroenterol. 2008;103:2248-2253.|
|24. Oregon State Police. After Action Report: Operation Trucker Check-12, Woodburn Port of Entry, April 10- 12, 2007. Available at: www.oregon.gov/OSP/PATROL/ docs/trucker_check_after_action_report.pdf. Accesed June 15, 2008.|
|25. Solomon AJ, Doucette JT, Garland E, McGinn T. Health care and the long haul: long distance truck drivers-a medically underserved population. Am J Ind Med. 2004;46:463-471.|
|26. American Trucking Associations. The US Truck Driver Shortage: Analysis and Forecast. Available at: http://www.thetruckersreport.com/truckernews/ATADriverShortageStudy05[ 1].pdf. Accessed June 15, 2008.|
|27. Bureau of Labor Statistics, US Department of Labor. Occupational Employment Statistics. Available at: http:// www.bls.gov/cps/wlf-table14-2007.pdf. Accessed June 15, 2008.|
|Sarah Valway, DMD, MPH, Steven Jenison, MD, Nick Keller, BS, Jaime Vega-Hernandez, and Donna Hubbard McCree, PhD, MPH, RPh|
|About the Authors|
|Sarah Valway, Steven Jenison, Nick Keller, and Jaime Vega-Hernandez are with the Public Health Division, New Mexico Department of Health, Santa Fe. Donna Hubbard- McCree is with the National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.|
|Correspondence should be sent to Sarah Valway, DMD, MPH, New Mexico Department of Health, Infectious Diseases Bureau, 1190 South Saint Francis Drive, Santa Fe, NM 87502 (e-mail: firstname.lastname@example.org). Reprints can be ordered at http://www.ajph.org by clicking the ''Reprints/ Eprints'' link.|
|This article was accepted February 17, 2009.|
|All the authors conceptualized the study design and developed and tested questionnaires prior to implementation. N. Keller led the recruitment of truck drivers. S. Valway, S. Jenison, N. Keller, and J. Vega-Hernandez conducted interviews with study participants and oversaw specimen collection. S. Valway led data management, article writing, and analyses. S. Jenison, N. Keller, J. Vega-Hernandez, and D. Hubbard McCree made significant contributions to data management, article writing, and analyses. S. Jenison and D. Hubbard McCree provided overall supervision of the study.|
|This research was funded by cooperative agreement from the Centers for Disease Control and Prevention through the Association for Prevention Teaching and Research (U36/CCU300860).|
|The authors appreciate the assistance of the truck drivers who participated in this study. Without their assistance, the study could not have been completed.We also acknowledge the many staff of the New Mexico STD Program, whose assistance with this study was vital to its success.|
|Human Participant Protection|
|The study was approved by the institutional review boards of the Centers for Disease Control and Prevention and the New Mexico Department of Health.|
|Subjects:||Human immunodeficiency virus--HIV, Trucking industry, Truck drivers, Wellness programs, Studies, Risk factors, Hepatitis, Health services, Health care access, Flexible hours, Ethnicity, Drug testing, Data analysis, Alcohol use|
|Author(s):||Sarah Valway, Steven Jenison, Nick Keller, Jaime Vega-Hernandez, Donna Hubbard McCree|
|Author Affiliation:||Sarah Valway, DMD, MPH, Steven Jenison, MD, Nick Keller, BS, Jaime Vega-Hernandez, and Donna Hubbard McCree, PhD, MPH, RPh|
About the Authors
Sarah Valway, Steven Jenison, Nick Keller, and Jaime Vega-Hernandez are with the Public Health Division, New Mexico Department of Health, Santa Fe. Donna Hubbard- McCree is with the National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Correspondence should be sent to Sarah Valway, DMD, MPH, New Mexico Department of Health, Infectious Diseases Bureau, 1190 South Saint Francis Drive, Santa Fe, NM 87502 (e-mail: email@example.com). Reprints can be ordered at http://www.ajph.org by clicking the ''Reprints/ Eprints'' link.
This article was accepted February 17, 2009.
All the authors conceptualized the study design and developed and tested questionnaires prior to implementation. N. Keller led the recruitment of truck drivers. S. Valway, S. Jenison, N. Keller, and J. Vega-Hernandez conducted interviews with study participants and oversaw specimen collection. S. Valway led data management, article writing, and analyses. S. Jenison, N. Keller, J. Vega-Hernandez, and D. Hubbard McCree made significant contributions to data management, article writing, and analyses. S. Jenison and D. Hubbard McCree provided overall supervision of the study.
This research was funded by cooperative agreement from the Centers for Disease Control and Prevention through the Association for Prevention Teaching and Research (U36/CCU300860).
The authors appreciate the assistance of the truck drivers who participated in this study. Without their assistance, the study could not have been completed.We also acknowledge the many staff of the New Mexico STD Program, whose assistance with this study was vital to its success.
Human Participant Protection
The study was approved by the institutional review boards of the Centers for Disease Control and Prevention and the New Mexico Department of Health.
|Document features:||Tables, References|
|Section:||RESEARCH AND PRACTICE|
|Publication title:||American Journal of Public Health. Washington: Nov 2009. Vol. 99, Iss. 11; pg. 2063, 6 pgs|
|ProQuest document ID:||1897707891|
|Text Word Count||4757|