Abstract
The purpose of the current study was to examine whether the differences found between first time and repeat rural DUI offenders were the same as those found previously in urban samples. A total of 118 rural DUI offenders were interviewed, approximately half (51.7%) of which were repeat offenders. Although demographic and mental health characteristics were similar across the two groups, repeat offenders reported more extensive substance use and criminal histories. Results suggest that the pattern of differences between rural first time and repeat DUI offenders may be different from the pattern found in prior urban-based studies. Treatment implications are discussed.
Keywords: DUI, rural, recidivism, substance use, mental health, crime
Introduction
Driving under the influence (DUI) is one of the most frequently committed offenses in the United States and accounts for approximately a third of substance-related arrests (Federal Bureau of Investigation, 2012). According to the 2011 National Survey of Drug Use and Health (NSDUH), approximately 28.6 million people ages 12 and older reported driving under the influence of alcohol at least once during the past year. During the same time period, 9.4 million people ages 12 and older reported driving under the influence of illicit substances (Substance Abuse and Mental Health Services Administration (SAMHSA), 2012a). While this rate is lower than previous years, DUI remains a major public health threat with alcohol-impaired driving accidents alone accounting for 32% of all traffic-related deaths in the United States in 2008 (National Highway Traffic Safety Administration (NHTSA), 2009). Although estimates for the total number of fatalities related to drug-impaired driving do not exist, a NHTSA (2010a) report shows that among fatally-injured drivers, 18% tested positive for at least one drug in 2009. Repeat DUI offenders raise additional public health concern since they are more likely to be involved in fatal motor-vehicle accidents (NHTSA, 2004).
Driving under the influence is more prevalent in certain populations; white, biracial, and Native American males, in particular, are more likely to self-report recent DUI behavior than those of other ethnic backgrounds (Caetano & McGrath, 2005; Royal, 2003). Age is also a DUI risk factor since individuals ages 21 to 25 are more likely to report driving under the influence of alcohol or drugs in the past year than any other age group (SAMHSA, 2012a). Geographically, rural communities have higher arrest rates for DUI than urban communities (643.7 per 100,000 vs. 332.2 per 100,000; FBI, 2012). Despite the high DUI rates in rural communities, there is limited empirical knowledge about rural DUI offenders – a notable gap in the literature given the recent studies pointing to increased substance use in rural regions and the barriers to treatment in these areas.
Rural Substance Use and DUI
Once identified as a protective factor for substance use, recent research indicates that rural residence is no longer associated with lower rates of substance use. Specifically, researchers have found that individuals living in rural areas use substances at similar rates to their urban counterparts (Van Gundy, 2006). The most recent NSDUH results show that current rates of illicit drug use are only marginally higher (<2%) in metropolitan counties than in nonmetropolitan (including rural) counties (SAMHSA, 2012a). Likewise, the NSDUH concluded that binge drinking rates and rates of underage drinking were similar across urban and rural areas (SAMHSA, 2012a).
Rural residence is also becoming increasingly associated with substance use problems. For example, research has found that it is common for rural community members to use certain types of drugs at higher rates than urban residents (Leukefeld et al., 2002; Mink et al., 2005), including prescription opiates (Tunnell, 2005), methamphetamine (Simons et al., 2005), and inhalants (Hutchison & Blakely, 2006). Borders and Booth (2007) also concluded that while abstinence from alcohol is still common in the rural South, there is evidence of increasing rates of heavy alcohol use and alcohol use disorders in rural communities overall. Furthermore, some studies have documented higher rates of alcohol use among younger rural populations than those in urban areas, specifically individuals under the age of 25 (National Center on Addiction and Substance Abuse, 2000; Van Gundy, 2006).
Despite the growing body of literature exploring substance use problems in rural areas, the studies examining rural DUI offenders remain limited and often are not the primary research focus. For instance, in a study investigating substance use patterns among rural youth (Lambert, Gale, & Hartley, 2008), a secondary finding was that rural youth were more likely than urban youth to drive under the influence of either alcohol or illicit drugs. Only a few studies have focused on differences between rural and urban DUI offenders. These studies have found that rural DUI offenders score significantly higher on drug abuse screening instruments and are more likely to 1) have multiple DUI offenses, 2) meet DSM-IV criteria for a substance use disorder, 3) be referred to substance abuse treatment rather than an education intervention, and 4) subsequently be noncompliant with treatment and education recommendations (Webster et al., 2009b; Webster et al., 2010). These findings suggest that problem severity may be greater among rural DUI offenders than urban offenders.
Repeat DUI Offenders
According to the NHTSA (2004), close to one-third of all drivers arrested for DUI have at least one previous DUI conviction. An analysis of crash data revealed that drivers with a blood alcohol concentration (BAC) of .01 or higher who were involved in a fatal crash were at least four times more likely to have a prior DUI conviction than drivers with no alcohol in their system (NHTSA, 2010b), and those with a BAC exceeding .08 were 8 times more likely to have a prior DUI conviction (NHTSA, 2010b). Because repeat DUI offenders pose a significant threat to themselves and the community, researchers have sought to gain a better understanding of the factors that contribute to DUI recidivism.
Numerous studies have compared first time and repeat DUI offenders with the goal of identifying the characteristics of offenders at risk for reoffending. Results have shown that repeat DUI offenders are distinct from first time DUI offenders in terms of their demographic characteristics as well as their criminal histories, substance use, and mental health histories. Specifically, repeat offenders are more likely to be male, white and unmarried (Hunter et al., 2006; Nochajski & Stasiewicz, 2006; Wieczorek & Nochajski, 2005). In addition, first time offenders younger than 30 are more likely to commit additional DUI offenses than older offenders (C’de Baca et al., 2001). Repeat offenders are also more criminally-involved (Royal, 2000; Webster et al., 2009a), report heavier alcohol and drug use (Hedlund & McCartt, 2002), and are more likely to report psychological problems such as depression (Freeman, Maxwell, & Davey, 2011; McMillen et al., 1992; Royal, 2000; Shaffer et al., 2007).
The Current Study
Although differences between first time and repeat DUI offenders have been documented, most of these studies have utilized larger urban samples rather than rural samples. This gap in the literature is noteworthy because research has indicated increasing substance use and substance use problems, including DUI offenses, in rural communities. It remains unclear whether differences between first and repeat DUI offenders in rural areas mirror those found in urban settings, which could have implications for prevention programs as well as the clinical assessment and treatment of this group of offenders.
The current study was conducted to examine whether differences between first time and repeat DUI offenders in a rural setting were consistent with those documented in prior urban-based studies. Specifically, this study compares first time and repeat rural DUI offenders on demographic information, substance use, mental health and criminal histories. Consistent with previous research, it was expected that repeat DUI offenders would be more likely to be male and would report greater current and past substance use (Nochajski & Stasiewicz, 2006). Rural repeat DUI offenders were specifically expected to report greater illicit prescription drug and methamphetamine use since several recent studies have highlighted notable increases of these substances in rural communities (Leukefeld et al., 2002; Simons et al., 2005; Tunnell, 2005). It was also expected that repeat offenders would exhibit greater mental health problems and would report significantly more criminal activity.
Method
Sample and Procedure
As part of a NIH-funded study examining the patterns, behaviors, and characteristics of DUI offenders in rural Appalachia, a purposive sample of 118 individuals convicted of driving under the influence was recruited from one of three rural Appalachian Kentucky district courts and interviewed between February 2009 and April 2011. Study eligibility was based only on three criteria: participants must have (a) been 18 years of age or older; (b) been convicted of a DUI within the past 12 months in one of the three targeted counties; and (c) resided in the same county in which they were convicted. The sample was 70.9% male and the majority (51.7%) had been convicted of DUI two or more times. Participants’ average age was 35.1. Participants were mostly White (96.6%), which is consistent with the demographic characteristics of the area.
Participants were recruited using two methods. In most cases (90%), research staff identified potential recruits from the court dockets and attended court proceedings. If convicted, research staff immediately approached the offender outside the courtroom, extending an invitation to participate in this IRB-approved study. If the DUI offender was interested in participating and met all three eligibility criteria, research staff either facilitated the interview the same day or scheduled a later appointment. Approximately 27% of approached, eligible offenders refused to participate. Primary reasons for refusal included not having time or being accompanied by family/friends. The remaining participants (10%) were recruited through flyers placed in various locations around the community. For those eligible, interviews were scheduled with the participants at their earliest convenience. After participants provided their informed consent, subjects completed a one-time confidential research interview with a trained interviewer. The interview lasted approximately 90 minutes, and subjects received $25 for their participation.
Measures
Demographics
Demographic information was collected from participants during the interview and included age, gender, race/ethnicity, level of education, and marital status. These measures were used primarily to describe the sample.
Mental Health History
Participants’ mental health histories were collected using components of the Addiction Severity Index (McLellan et al., 1992). Specifically, participants’ self-reported lifetime and past year incidence of depression, tension and anxiety, and any trouble remembering or concentrating were recorded. Participants also provided information about whether they had ever received mental health treatment.
Substance Use History
Substance use histories were also collected using sections of the Addiction Severity Index (McLellan et al., 1992). Participants were asked to report on their current and past substance use patterns, including their use of alcohol, marijuana, powder and crack cocaine, methamphetamine, heroin, amphetamines, sedatives/tranquilizers, methadone, OxyContin®, and other opiates/analgesics (only illicit use was recorded). Specifically, participants were asked to identify if they had ever used a substance, the age of first use, any use during the past year, and the number of years the substance was regularly used.
Criminal History
Participants were asked to report their past criminal behaviors. Specifically, participants reported whether they had ever committed shoplifting, burglary, auto theft, forgery, other theft/larceny, drug trafficking, drug possession, vandalism, robbery, assault, illegal weapon possession, or sold/traded/received stolen goods (regardless of arrest). Participants also self-reported the age they first committed each crime and how many times they had been arrested for each crime. Using this self-report information, three additional variables were created: 1) number of lifetime arrests, 2) age first committed a crime (regardless of arrest), and 3) a dichotomous variable for whether or not participants had ever committed a non-DUI crime. Incarceration histories were also recorded.
Data Analysis
Participants were separated into two groups, first time DUI offenders (n = 56) and repeat DUI offenders (n = 61) based on their self-reported number of lifetime DUI convictions. One participant was unable to be categorized due to missing DUI history information, resulting in a final sample of 117. After verifying that recruitment method was unrelated to any key variables, first time and repeat DUI offenders were compared using a series of chi-square tests and t-tests to examine the differences in mental health, substance use, and criminal histories. Group differences were considered significant at p ≤ 0.05. Analyses were conducted using PASW v.18 (SPSS Inc., Chicago, IL).
Results
The demographic characteristics of first time and repeat DUI offenders were similar. Although repeat DUI offenders were slightly older (36.2 vs. 33.8) and more likely to be male (77% vs. 64.3%) and married (34.4% vs. 28.6%), none of the differences were statistically significant.
First time and repeat DUI offenders also reported similar mental health histories. While not statistically significant, more first time DUI offenders self-reported having received mental health treatment in their lifetime than repeat DUI offenders (44.6% vs. 41.0%) and a higher percentage of repeat DUI offenders self-reported a lifetime incidence of depression (68.3% vs. 61.8%), anxiety (76.7% vs. 67.3%), and trouble concentrating (45.0% vs. 33.3%) than first time DUI offenders. A greater number of repeat DUI offenders also reported past year incidences of these mental health problems, although these differences were not statistically significant.
An examination of substance use histories, however, did reveal differences between first time and repeat DUI offenders. Repeat DUI offenders were significantly more likely to report having ever used illicit drugs during their lifetime (χ2(117) = 10.28, p = .001), with significant differences for marijuana (χ2(117) = 5.70, p = .017), powder cocaine (χ2(117) = 9.30, p = .002), crack cocaine (χ2(117) = 6.24, p = .012), hallucinogens (χ2(117) = 6.85, p = .009), heroin (χ2(117) = 6.84, p = .009), amphetamines (χ2(117) = 9.25, p = .002), methadone (χ2(117) = 10.29, p = .001), OxyContin® (χ2(117) = 7.07, p = .008), and other opiates and analgesics (χ2(116) = 6.71, p = .01). Repeat offenders were also significantly more likely to report past year illicit drug use (χ2(117 = 5.60, p = .018) and reported significantly more years of regular drug use (t(115) = −3.23, p = .002). Repeat DUI offenders also reported first using alcohol at a significantly earlier age (t(113) = 3.57, p = .001). Age of first use did not vary for any other substances.
Several differences also emerged for criminal behavior and incarceration histories. Repeat DUI offenders were significantly more likely than first time offenders to have ever committed a non-DUI crime (regardless of arrest; χ2(115) = 9.38, p = .002) and to have been incarcerated after a conviction as an adult (χ2(117) = 14.49, p = .000). In addition, repeat offenders spent significantly more time incarcerated (t(110) = −2.80, p = .006), first engaged in criminal behavior at an earlier age (t(112) = 3.17, p = .002), and reported more non-DUI arrests (t(113) = −3.56, p = .001).
Discussion
The purpose of the present study was to examine characteristics of first time and repeat DUI offenders in a rural setting and to determine if differences were consistent with those documented for urban DUI offenders. Results suggest that, although rural first time DUI offenders are different from rural repeat offenders, these differences are not as extensive as those found in urban and national samples (Cavaiola, Strohmetz, Wolf, & Lavender, 2003; C’de Baca et al., 2001; Hunter et al., 2006; Royal, 2000). Because the sample was drawn from a rural region of Kentucky where residents are primarily White, undereducated, and impoverished, it was expected that few demographic differences would be found, despite earlier urban studies indicating significant demographic differences between first time and repeat DUI offenders (Cavaiola et al., 2003; C’de Baca et al., 2001; Hunter et al., 2006; Nochajski & Stasiewicz, 2006; Wieczorek & Nochajski, 2005). Although demographic similarities were anticipated, the lack of age or gender differences between the two groups of offenders was surprising considering the body of research showing that repeat DUI offenders are more likely to be male (82% vs. 76%; C’de Baca et al., 2001) and significantly older than first time DUI offenders (38.1 vs. 29.6; Cavaiola et al., 2003). The similarity in ages between these two groups of offenders in this study may suggest that there was a short time span between first and second DUI offenses. This lack of variation could also be attributed to the fact that many of these cases were not traditional alcohol-related DUI offenses; the majority (60%) were for drug-involved DUI offenses.
Another noteworthy finding was that offenders did not vary in their mental health histories. For both groups, self-reported rates of lifetime and past year depression and anxiety (>60% lifetime and >45% past year) were appreciably higher than rates found in other DUI samples (2–31% lifetime and 6–23% past year; Freeman, Maxwell, & Davey, 2011; Lapham et al., 2001; Lapham, C’de Baca, McMillan, & Lapidus, 2006; Shaffer et al., 2007). These high rates could be a function of the rural sample, which was drawn from counties with high rates of poverty as well as income and educational attainment below the national average (U.S. Census Bureau, 2011). Past research has indicated that persons with a lower socioeconomic status report higher rates of mental health problems (Muntaner et al., 2004; Sturm & Gresenz, 2002) and are the most likely to have their mental health treatment needs go unmet (Gamm et al., 2003). The additional barriers to obtaining treatment faced by rural residents could further amplify this unmet treatment need.
The main difference between first time and repeat rural DUI offenders in this sample was substance use patterns. Although alcohol was the most commonly used substance among the sample, results highlight the increasing variety of illicit drugs that rural residents use. It was expected that repeat offenders would be more likely to use methamphetamine and illicit prescription drugs; however, the data only partially supported this hypothesis. Repeat offenders were more likely to have used a variety of prescription drugs, including amphetamines, OxyContin®, and other prescription opiates. They also reported significantly more years of regular use for sedatives, OxyContin®, and other prescription opiates. There were no differences, however, between first time offenders and repeat offenders in regard to methamphetamine use. The overall high prevalence of illicit prescription drug use may be a result of drawing the sample from rural Appalachia, which has been identified in the literature as an area where illicit prescription drug use is rife (Hays, 2004; Inciardi & Goode, 2002). Aside from prescription drugs, repeat offenders indicated longer periods of regular use for alcohol, marijuana, and illegal drugs overall. These findings are consistent with the limited rural DUI offender literature (Webster et al., 2010). Results also indicate that, similar to urban and national samples of repeat DUI offenders (Hedlund & McCartt, 2002; Wieczorek & Nochajski, 2005), rural repeat DUI offenders have more extensive substance use histories than first time offenders.
Although rural repeat offenders, as expected, had more extensive drug use histories than first time offenders, both groups of rural DUI offenders had high rates alcohol use and had higher rates of illicit drug use than existing urban and national samples of DUI offenders. In this rural sample, the rate of lifetime and past year illicit drug use was considerably higher (>80% lifetime and 62% past year) than existing studies have found among non-rural DUI offenders (50% to 75% lifetime; Lapham, C’de Baca, Chang, Hunt, & Berger, 2002; Maruschak, 1999). As previously mentioned, these high rates of drug use among rural DUI offenders is indicative of the increasing rates of illicit drug use among rural populations (Hutchison & Blakely, 2006; Leukefeld et al., 2002; Mink et al., 2005; Simons et al., 2005; Tunnell, 2005).
In addition to substance use findings, results indicate variation in rural DUI offenders’ past criminal behaviors. The hypothesis that repeat DUI offenders would report higher rates of criminal behavior received some support. Repeat offenders began committing crimes at an earlier age and came into contact with the criminal justice system more frequently than first time offenders, reporting a greater number of lifetime non-DUI arrests and significantly more time incarcerated. Repeat offenders also committed more non-DUI crimes (regardless of arrest) than first time offenders. Although repeat DUI offenders had more extensive criminal backgrounds, they were more likely to report having committed non-violent, drug and property-type crimes. Specifically, repeat DUI offenders had higher rates of forgery and drug possession than first time offenders. This finding supports previous research that has identified DUI offenders to be largely non-violent (LaBrie et al., 2007). Results are also consistent with past studies that have found repeat DUI offender status to be associated with more extensive criminal histories (McMillen et al., 1992; Wieczorek & Nochajski, 2005).
Implications
Results from the current study have a number of implications for both treatment providers and the criminal justice system. First, the high rates of illegal drug and alcohol use in both groups of rural DUI offenders indicate a potentially greater need for substance use treatment in rural DUI populations than urban DUI populations. However, compared to first time offenders, repeat rural DUI offenders appear to have even more extensive drug use histories, which may be indicative of more severe substance use problems among repeat offenders. If left untreated, continued impaired driving by both first time and repeat rural DUI offenders will likely persist. This raises concern since existing studies have found that individuals experiencing substance abuse problems in rural areas often remain untreated because of the limited access to treatment in rural communities (Booth et al., 2000; Fortney et al., 1995; Fortney & Booth, 2001; Sexton et al., 2008) coupled with a distrust of formal agencies (Sexton et al., 2008). It is important for treatment providers in rural communities to consider the barriers that rural residents face when seeking treatment, such as transportation and poor economic conditions.
Furthermore, results also suggest that both groups of rural DUI offenders exhibit a range of mental health problems and, compared to their urban counterparts, have overall higher rates of mental health problems. However, less than half (<45%) have ever received any type of formal treatment. Rural offenders should be assessed for mental health problems in addition to substance abuse problems. Rural treatment providers should tailor treatment programs to address all underlying problems, both substance- and non-substance-related.
Finally, a recent report issued by SAMHSA (2012b) showed that rural substance abuse treatment referrals are significantly more likely to come from the criminal justice system than urban treatment referrals. In rural areas where treatment is often limited or absent, the criminal justice system offers a unique window of opportunity for addressing rural offenders’ treatment needs. Previous studies have drawn similar conclusions, arguing that the integration of treatment into the criminal justice system makes treatment accessible to individuals who might not otherwise receive it (Knight & Farabee, 2004) and that intervening while offenders are involved in the criminal justice system can also result in fewer problems with treatment compliance (Leukefeld, Staton, Webster, & Smiley McDonald, 2005). Although past research has questioned the effectiveness of court-mandated treatment (Kownacki & Shadish, 1999; Peck et al., 1985; Wells-Parker, 1989), studies have argued that identifying and treating offenders’ substance abuse and other underlying problems early in the criminal justice system process, including the use of court-mandated treatment, can potentially reduce recidivism rates (Robertson, Gardner, Xu, & Costello, 2009; Taxman, Cropsey, Young, & Wexler, 2007; Webster et al., 2009a). In this study, evidence of repeat offenders’ increased involvement in the criminal justice system underscores the importance of addressing offenders’ substance use and mental health treatment needs while under court supervision, particularly in rural areas where treatment options are often limited or absent.
Limitations
Although several significant differences between the two groups of rural DUI offenders were identified, a number of study limitations should be considered. First, the groups were defined by the number of lifetime DUI convictions rather than number of lifetime impaired-driving events. Although this is a limitation, using arrest and/or conviction data is common practice among researchers in this field of study (e.g. Hunter et al., 2006). Second, findings are based on self-report data and while participants were assured confidentiality and consented to participate in this study, it is unknown how truthful they were when discussing their current and past behaviors. Self-report data is also subject to recall bias. However, other studies have indicated that self-report data from drug users and criminal offenders can be reliable and valid (Johnson et al., 2000; Solbergdottir et al., 2004; Thornberry & Krohn, 2000).
Characteristics of the sample provide additional limitations. Participants were recruited from 3 counties in rural Kentucky, which potentially limits the generalizability of study results. Furthermore, the relatively small sample size also may have led significant relationships between first time and repeat DUI offenders to go undetected. There were also missing data, but these data were missing at random. In cases of missing data, pairwise deletion was used to maximize the power of the relatively small sample. In addition, several statistical comparisons were conducted, which could increase the chance of a Type 1 error. These limitations should be considered when interpreting the results of this study.
Despite these limitations, the present study fills an important gap in the literature, drawing attention to rural DUI offenders. Study findings provide new information about the differences between first time and repeat DUI offenders in a rural setting, while also highlighting the increasing substance use rates in rural populations. The high rates of illicit drug use among repeat DUI offenders in this sample suggest that having multiple DUI arrests and/or convictions may be indicative of more serious underlying substance use problems and may signal higher levels of criminal behavior in rural DUI offenders. Finally, although this study offers insight into repeat DUI offenders in rural areas, this increasingly common public health issue remains largely unexplored. Future research should continue to examine rural DUI offenders in order to develop a better understanding of this group and strategies to prevent further impaired driving.
TABLE 1.
First Time DUI Offenders (n = 56) |
Repeat DUI Offenders (n = 61) |
||
---|---|---|---|
Alcohol | |||
% ever used | 96.4 | 100.0 | |
Age of first use*** | 16.1 | 13.4 | |
% used in the past year | 69.6 | 85.2 | |
Years used regularly*** | 4.9 | 11.1 | |
Marijuana | |||
% ever used* | 73.2 | 90.2 | |
Age of first use | 15.6 | 14.8 | |
% used in the past year | 35.7 | 52.5 | |
Years used regularly* | 5.2 | 9.2 | |
Powder Cocaine | |||
% ever used** | 35.7 | 63.9 | |
Age of first use | 19.9 | 21.7 | |
% used in the past year | 7.1 | 11.5 | |
Years used regularly | 0.3 | 0.5 | |
Crack Cocaine | |||
% ever used* | 19.6 | 41.0 | |
Age of first use | 21.8 | 24.0 | |
% used in the past year | 3.6 | 8.2 | |
Years used regularly | 0.2 | 0.4 | |
Inhalants | |||
% ever used | 5.4 | 13.1 | |
Age of first use | 15.3 | 11.9 | |
% used in the past year | 1.8 | 1.6 | |
Years used regularly | 0.0 | 0.1 | |
Hallucinogens | |||
% ever used** | 21.4 | 44.3 | |
Age of first use | 18.8 | 18.3 | |
% used in the past year | 3.6 | 0.0 | |
Years used regularly | 0.3 | 0.3 | |
Methamphetamine | |||
% ever used | 10.7 | 23.0 | |
Age of first use | 21.5 | 25.2 | |
% used in the past year | 1.8 | 4.9 | |
Years used regularly | 0.0 | 0.4 | |
Amphetamines | |||
% ever used** | 10.7 | 34.4 | |
Age of first use | 16.0 | 19.5 | |
% used in the past year* | 1.8 | 13.1 | |
Years used regularly | 0.2 | 0.9 | |
Sedatives, Tranquilizers, Barbiturates | |||
% ever used | 53.6 | 65.6 | |
Age of first use | 25.0 | 21.6 | |
% used in the past year | 50.0 | 50.8 | |
Years used regularly* | 1.5 | 3.4 | |
Methadone | |||
% ever used*** | 25.0 | 54.1 | |
Age of first use | 23.1 | 26.9 | |
% used in the past year | 12.5 | 25.0 | |
Years used regularly | 0.2 | 0.9 | |
OxyContin® | |||
% ever used** | 26.8 | 50.8 | |
Age of first use | 24.6 | 25.2 | |
% used in the past year | 16.1 | 29.5 | |
Years used regularly** | 0.4 | 1.8 | |
Other Non-prescribed Opiates/Analgesics | |||
% ever used** | 39.3 | 62.3 | |
Age of first use | 21.2 | 23.1 | |
% used in the past year* | 25.0 | 45.0 | |
Years used regularly*** | 0.9 | 3.0 | |
Any Drug | |||
% ever used*** | 80.4 | 98.4 | |
Age of first drug use | 16.5 | 15.6 | |
% used any drugs in the past year* | 62.5 | 82.0 | |
Years used illegal drugs regularly** | 5.8 | 11.0 |
p ≤ .05;
p ≤ .01;
p ≤ .001
TABLE 2.
First Time DUI Offenders (n = 56) |
Repeat DUI Offenders (n = 61) |
|
---|---|---|
% ever committed a non-DUI crime** | 83.9 | 98.4 |
Shoplifting | 32.7 | 47.5 |
Burglary* | 3.6 | 14.8 |
Auto Theft | 3.6 | 9.8 |
Forgery** | 1.8 | 16.4 |
Theft/larceny | 1.8 | 4.9 |
Drug trafficking | 17.9 | 32.8 |
Drug possession*** | 75.0 | 96.7 |
Stolen goods | 5.4 | 14.8 |
Vandalism | 12.5 | 11.5 |
Robbery | 1.8 | 4.9 |
Assault | 30.4 | 36.1 |
Weapon possession | 3.86 | 8.2 |
Age first committed a crime (regardless of arrest)** | 17.3 | 13.3 |
# of lifetime arrests (non-DUI)*** | 0.9 | 5.1 |
% incarcerated as a juvenile (after conviction) | 12.5 | 18.0 |
% incarcerated as an adult (after conviction)*** | 30.4 | 65.6 |
Total months served after a conviction as an adult** | 0.6 | 7.8 |
p ≤ .05;
p ≤ .01;
p ≤ .001
Acknowledgments
This study was supported by Grant R03AA015964 from the National Institute on Alcohol Abuse and Alcoholism; J. Matthew Webster, Principal Investigator; and by the staff and resources of the Center on Drug and Alcohol Research at the University of Kentucky. Opinions expressed are those of the authors and do not represent the position of the NIAAA.
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