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Stealing Among High School Students: Prevalence and Clinical Correlates

Jon E. Grant, Marc N. Potenza, Suchitra Krishnan-Sarin, Dana A. Cavallo and Rani A. Desai
Journal of the American Academy of Psychiatry and the Law Online February 2011, 39 (1) 44-52;
Jon E. Grant
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Marc N. Potenza
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Suchitra Krishnan-Sarin
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Dana A. Cavallo
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Rani A. Desai
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Abstract

Although stealing among adolescents appears to be fairly common, an assessment of adolescent stealing and its relationship to other behaviors and health problems is incompletely understood. A large sample of high school students (n = 3,999) was examined by self-report survey with 153 questions concerning demographic characteristics, stealing behaviors, other health behaviors including substance use, and functioning variables, such as grades and violent behavior. The overall prevalence of stealing was 15.2 percent (95% confidence interval (CI), 14.8–17.0). Twenty-nine (0.72%) students endorsed symptoms consistent with a diagnosis of DSM-IV-TR kleptomania. Poor grades, alcohol and drug use, regular smoking, sadness and hopelessness, and other antisocial behaviors were all significantly (p < .05) associated with any stealing behavior. Stealing appears to be fairly common among high school students and is associated with a range of potentially addictive and antisocial behaviors. Significant distress and loss of control over this behavior suggest that stealing often has significant associated morbidity.

The lifetime prevalence of stealing appears fairly high. A recent, large epidemiological study of adults found that 11.3 percent of the general population admitted to having shoplifted in their lifetimes.1 This finding is consistent with estimates by the National Association of Shoplifting Prevention that 1 (9.1%) in 11 people has shoplifted during his lifetime.2 Stealing in adults has been associated with other antisocial behaviors, psychiatric comorbidity (e.g., substance use disorders, pathological gambling, and bipolar disorder), and impaired psychosocial functioning.1 Stealing appears to start generally in childhood or adolescence, with approximately 66 percent of individuals reporting lifetime stealing beginning before they were 15 years of age.1

Despite the early age at onset of stealing, as well as the significant adult morbidity associated with this behavior, stealing among adolescents has historically received relatively little attention from clinicians and researchers. Limited research suggests that adolescents who steal have impairments in problem-solving skills and a cognitive bias toward inappropriate solutions to problems.3 Other research suggests that parent-child difficulties, school failure, and negative peer influences underlie adolescent stealing.4

Although stealing may be fairly common, it is unclear how many adolescents who steal have kleptomania. Kleptomania, characterized by a diminished ability to resist recurrent impulses to steal objects that are not needed for their monetary or personal use, has been relatively understudied across the lifespan and particularly in adolescents with propensities for stealing.5 In the present study, we assessed a large sample of public high school students regarding stealing behavior. Although previous research suggests that stealing and antisocial behaviors are linked,1,6 no study has systematically examined the relationship of stealing with a range of behaviors and health functioning. Given the incomplete data on the co-occurrence of stealing and other variables among young people, the purpose of this study was to fill these gaps in knowledge. Specifically, we sought to examine the prevalence and sociodemographic correlates of different severity levels of stealing in adolescents, to investigate health correlates in high school students who steal, and to examine the different severity levels and clinical characteristics of stealing and determine differences in students whose stealing merits a diagnosis of kleptomania. Recognizing possible differences in stealing severity among adolescents may have clinical and health implications. It is also important to recognize associations between stealing and health variables, as identifying and treating the stealing behavior may significantly improve the prognosis of other behaviors.

Methods

Study Procedures and Sampling

The study procedure has been published in detail.7 In summary, the study team mailed invitation letters to all public four-year and nonvocational or special education high schools in the state of Connecticut. These letters were followed by phone calls to all principals of schools receiving a letter to assess the school's interest in participating in the survey. To encourage participation, we offered all schools a report after data collection that outlined the prevalence of stealing and other health-related behaviors in that school. Schools that expressed an interest were contacted to begin the process of obtaining permission from school boards and/or school system superintendents, if approval was needed.

In addition, targeted contacts were made to schools that were in geographically underrepresented areas, to ensure that the sample was representative of the state. The final survey therefore contains schools from each geographical region of the state of Connecticut, and it contains schools from each of the three tiers of the state's district reference groups (DRGs; i.e., groupings of schools based on the socioeconomic status of the families in the school district). Sampling from each of the three tiers of the DRGs was intended to create a more socioeconomically representative sample. Although this was not a random sample of public high school students in Connecticut, the sample obtained is similar in demographics to the sample of Connecticut residents enumerated in the 2000 census, ages 14 to 18.8

Once permission was obtained from the necessary parties in each school, letters were sent through the school to parents informing them about the study and outlining the procedure by which they could deny permission for their child to participate in the survey if they wished. In most cases, parents were instructed to call the main office of their child's high school to deny permission for their child's participation. From these phone calls, a list of students who were not eligible to participate was compiled for reference on the survey administration day. If no message was received from a parent, parental permission was assumed. These procedures were approved by all participating schools and by the Institutional Review Board of the Yale University School of Medicine.

In most cases, the entire student body was targeted for administration of the survey. Some schools conducted an assembly where surveys were administered, while others had students complete the survey in every health or English class throughout the day. In each case, the school was visited on a single day by members of the research staff who explained the study, distributed the surveys, answered questions, and collected the surveys.

Students were told that participation was voluntary and that they could refuse to complete the survey if they wished and were also reminded to keep the surveys anonymous by not writing their name or other identifying information anywhere on the survey. Each student was given a pen for participating. Students who were not eligible to participate because a parent had denied permission or who personally declined to participate were allowed to work on schoolwork while the other students completed the survey. The refusal rate was under one percent.

Measures

The survey consisted of 153 questions concerning demographic characteristics, stealing behavior, other health behaviors including substance use, and functioning variables such as grades and violent behavior.

Stealing behavior was assessed by asking how many times the person stole from stores or people in a typical week. Possible answers to this were: never, fewer than 7 times, 7 to 14 times, 15 to 20 times, and 21 or more times. Those who reported any stealing were then asked six additional questions:

  • Have you ever tried to cut back on stealing things?

  • Has a family member ever expressed concern about the amount of time you spend stealing things?

  • Have you ever missed school, work, or other important social activities because you were stealing?

  • Do you think you have a problem with excessive stealing?

  • Have you ever experienced an irresistible urge or uncontrollable need to steal things?

  • Have you ever experienced a growing tension or anxiety that can only be relieved by stealing?

Three of the questions are based on the Minnesota Impulse Disorders Interview, a valid and reliable screen for adolescent kleptomania,9 and reflect Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria for kleptomania. Trying to cut back on stealing and an irresistible urge to steal reflect Criterion A; growing tension or anxiety that is relieved only by stealing mirrors both Criteria B and C.5 Therefore, students who endorsed all three of these questions were placed in the kleptomania group, while other respondents who reported stealing but did not endorse all three symptoms were placed in the nonkleptomania stealing group.

Demographics included gender, race, Hispanic ethnicity, grade, and family structure (live with one or two parents or some other configuration). Health and functioning variables included grade average (A or B, C, and D or F); extracurricular activities (including employment); tobacco use (never, once or twice, occasionally but not regularly, regularly in the past, or regularly now); lifetime marijuana use (any use in the past 30 days); alcohol frequency (none, light (1–5 days), moderate (6–19 days), or heavy (20 days or more)); lifetime use of other drugs (any or none); current caffeine use (none, 1–2 drinks per day, 3 or more drinks per day); a two-week period of feeling sad or hopeless and losing interest in usual activities (assessing for depression symptomatology) in the past 12 months; a history in the past 12 months of getting into a fight requiring medical attention; and a report within the past 12 months of carrying a weapon of any kind to school.

Data Analysis

Data were double-entered from the paper surveys into an electronic database. Random spot checks of completed surveys and data-cleaning procedures were performed, to ensure that the data were accurate and not out of range.

Distribution characteristics of all variables were examined. Only participants with complete data on the dependent variable were included in the analyses. Baseline demographic data were evaluated for differences between those with complete data and those without complete data, using t tests for parametric data and Mann-Whitney U tests for nonparametric data. Participants were divided into three groups: no stealing, nonkleptomania stealing, and kleptomania. Differences between the three groups were examined using Pearson's chi-square. All comparison tests were two-tailed.

Multivariate analyses were conducted by using multinomial logistic regression models with the three-group stealing variable as the dependent variable. The three groups were compared using odds ratios from these models, adjusting for demographic characteristics found to distinguish the three groups in bivariate analyses. Because all pairwise comparisons of three groups were performed, p values were corrected to .02 to allow for multiple comparisons.

Results

Demographics of the sample are presented in Table 1. The overall prevalence of stealing was 15.2 percent (95% CI, 14.8–17.0). Twenty-nine students (0.72% of the entire sample, 4.6% of those who reported stealing) endorsed stealing symptoms consistent with a DSM-IV-TR diagnosis of kleptomania. Boys were more likely to report stealing than were girls. African Americans and Asian Americans were more likely to report stealing. Those students in ninth grade were more likely to have stolen, and students living with two parents were less likely to have stolen (Table 1).

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Table 1

Demographic Variables for High School Students Based on Stealing Behavior

Among those students who stole, a small percentage (4.6%) met the criteria for kleptomania (Table 2). Those meeting criteria for kleptomania stole more frequently than other students reporting stealing (p = .0028) and were more likely to report missing activities due to stealing, having a problem with stealing, and having family members express concern about their stealing behavior (p < .0001; Table 2).

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Table 2

Characteristics of Stealing Behavior Among Students Who Report Stealing

Table 3 presents the unadjusted associations between health and functioning variables and the three stealing groups. These analyses indicate that all of the variables assessed (poor grades, lack of extracurricular activities, regular smoking, any drug use, heavy alcohol use, heavy caffeine use, endorsement of sadness and hopelessness, and other antisocial behaviors (e.g. fighting and carrying weapons)) were all significantly associated with stealing.

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Table 3

Clinical Variables for High School Students Based on Stealing Behavior

Logistic regression models calculated associations between health and functioning variables and stealing groups, adjusted for gender, grade, and race/ethnicity (Table 4). Those reporting stealing were more likely than nonstealers to have poor grades (C and lower among nonkleptomania stealers; D and F among kleptomania stealers), smoking at any level, smoking marijuana, drinking alcohol (at any level among nonkleptomania stealers, heavily among kleptomania stealers), using other drugs, getting into serious fights, and carrying a weapon. Nonkleptomania stealers were more likely to drink two or more caffeine drinks a day than were nonstealers, but there was no significant association with caffeine use among kleptomania stealers. Both the kleptomania and nonkleptomania groups were significantly less likely to report sadness or hopelessness than were the respondents who reported no stealing.

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Table 4

Clinical Comparison of High School Students Based on Stealing Behavior

There were also two significant differences between the nonkleptomania and kleptomania stealers. High school students meeting the criteria for kleptomania were significantly more likely to use caffeine and illicit drugs and more likely to get into serious fights than were nonkleptomania stealers (Table 4).

Discussion

To our knowledge, this study is the first to examine the prevalence of stealing and kleptomania among adolescents and their associations with a broad range of problematic behaviors in a large community sample of high school students. The multiple strengths of the survey, including the high response rate, large community sample, and detailed questions regarding stealing behavior, allowed for the systematic investigation of stealing, with and without kleptomania, with respect to a broad range of adolescent health and functioning measures. The finding that approximately 15 percent of high school students had stolen in their lifetimes is consistent with findings of large population-based surveys of adults (11.3%)1 and further supports findings that stealing typically starts in childhood and adolescence. Although only 0.72 percent of the total sample endorsed symptoms consistent with kleptomania, the prevalence is comparable with that in a recent survey of college students (0.4%).10

Stealing was associated with multiple measures of adverse functioning including poor grades, regular smoking, any drug use, heavy alcohol use, endorsement of sadness and hopelessness, and other antisocial behaviors such as fighting and carrying weapons. In addition, about 15 percent of nonkleptomania stealers reported three or more of the six problems related to kleptomania. These findings suggest that most stealing is not directly accounted for by kleptomania and raises questions regarding how best to classify and target (in prevention and treatment efforts) most adolescent stealing.

Other findings provide clues as to possible etiologies of stealing behavior in adolescents. In students who stole, stealing was associated with alcohol and drug use, heavy caffeine use, and regular smoking. Those who stole reported symptoms consistent with addictive behaviors: having the urge to steal, spending a significant amount of time engaged in the behavior (approximately one-quarter of the adolescents who stole did so more than seven times per week), attempting to cut back on the amount of stealing, missing opportunities due to stealing behavior, and experiencing a calming effect from stealing. These findings suggest that perhaps stealing in some adolescents is part of a larger constellation of addictive behaviors that include smoking, using alcohol and drugs, and the strengthening of these associations as stealing becomes more pathological.

Stealing may co-occur with substance abuse, such as alcohol, drugs or nicotine, for multiple reasons. Biological (e.g., genetic) factors, such as those contributing to impulsivity or related constructs, may contribute to participation in multiple addictive behaviors.11 Stealing and substance abuse may also be related to common social or environmental factors, such as the disinhibiting influence of substance abuse on the individual that may lead to stealing. Specific influences of stealing (calming, stimulating, attention-related, or coping with stress) may enhance stealing experiences. Conversely, students who steal may try unsuccessfully to cope with guilt by using drugs and alcohol. The extent to which the relationship between stealing and substance abuse is mediated by specific environmental, genetic, or other biological factors warrants further examination. Screening for stealing as part of other addictive behaviors may be useful in both the prevention and treatment of a variety of addictive behaviors in this age group.

The stealing behavior of these high school students may have multiple etiologies. Other antisocial behaviors (e.g., fighting and carrying weapons) were also significantly associated with a history of stealing. This finding is consistent with previous research that found stealing to be one of many antisocial behaviors seen in delinquent youths.6,12,13 This finding may suggest that some of the stealing behavior is attributable to antisocial traits in these students.

This study found that high school students who had stolen were significantly more likely to have poor grades. It has been suggested that school failure contributes to a complex chain of events leading to antisocial behavior.14 Conversely, addictive behavior, such as stealing and substance abuse, may lead to poor school performance.15 Further research (e.g. longitudinal) is needed to gain a better understanding of the nature of this observed association between problematic behavior and poor grades and to identify directionality and mediating and moderating factors.

The data yield several important conclusions. First, stealing among high school students is fairly common and is associated with a broad range of behavioral problems. Second, students who steal exhibit a range of addictive and socially unacceptable behaviors. Although the stealing may reflect a larger pattern of antisocial behavior, there has been relatively little research exploring stealing correlates with broad indices of psychopathology. The current findings indicate that stealing, whether reaching the criteria for kleptomania or not, is associated with significant behavioral problems, particularly in the area of substance use and abuse. Although there are no diagnostic criteria for degrees of stealing except kleptomania, the findings suggest that stealing for many adolescents may be considered within a spectrum of addictive and disinhibited behaviors. The diagnosis of kleptomania, however, is controversial, especially in adolescents, and the question of when a behavior becomes a disorder is particularly relevant to adolescents, because deviations from normal behavior are not solely related to factors within the individual, but instead may reflect interactions between adolescents and their social context.16 Depending on the context, a behavior may reflect a problem or an adaptive response.17 Focusing on a categorical psychiatric disorder, such as kleptomania, may ignore dispositional characteristics (e.g., impulsiveness and sensation-seeking) and their relationship to externalizing problems.18 Regardless of the underlying mechanisms for the association between stealing and other externalizing behaviors, these results raise concern that stealing in some adolescents may be reflective of a broader psychopathology of addiction. This possibility has implications for primary care or school settings, where screening and brief interventions around stealing, smoking, and other drug use could be implemented.

These data have important forensic implications as well. The findings demonstrate that adolescent stealing behavior lies along a continuum of severity and that stealing at all levels of severity appears to be associated with a range of problematic behaviors. Forensic psychiatrists should therefore assess any adolescent who steals for a range of associated problems. Because stealing may be a cause, an effect, or an associated symptom of other difficulties, such as school performance, drug use, or emotional problems, the forensic psychiatrist should be aware of the relationship between stealing and other problematic behaviors so as to recommend proper treatment interventions for the associated behaviors (e.g., chemical dependency treatment), to prevent reoffending. These findings also suggest that for some adolescents, stealing may be consistent with a diagnosis of kleptomania. In those cases, forensic psychiatrists must screen for kleptomania and make courts aware of the growing body of literature on evidence-based treatments for kleptomania.19

This study has several important limitations. First, the cross-sectional nature of the data precludes our establishing temporal patterns between stealing and other problematic behaviors. It is therefore possible to suggest several competing, but not necessarily mutually exclusive, explanations, all of which are consistent with the data. For example, drugs or alcohol may disinhibit adolescents and result in an array of impulsive behaviors, including stealing. Alternatively, there is a strong social component to antisocial behavior in adolescence,20 and therefore social variables, such as peer groups, may give rise to a variety of externalizing behaviors of which stealing is only one.21 Second, economic data of the families were not obtained, and therefore it is unclear to what extent necessity, or perceived necessity, contributed to the stealing behavior. This information could prevent the unnecessary pathologizing of behavior. Stealing behavior generated from significant poverty, for example, may be adaptive or even accepted in those circumstances. Third, although 0.7 percent of students appear to have met criteria for kleptomania, the study did not conduct individual clinical interviews with these students. Also, DSM-IV-TR diagnostic criterion E (“the stealing is not better accounted for by conduct disorder, a manic episode, or antisocial personality disorder”)5 was not part of the survey. There are several problems with making diagnoses based on self-report surveys without clinical correlations and without using the exclusionary criteria for kleptomania. Our results may overestimate the diagnosis of kleptomania in this population. Without the exclusionary criterion, the validity and reliability of the kleptomania diagnosis are in question. Other psychiatric diagnoses (for example, bipolar disorder, conduct disorder, and substance use disorders) may explain the endorsement of severe stealing behavior.

This study highlights the need for more research. In particular, research is needed that is focused on a possible biological basis for the associations between stealing, substance abuse, and other problematic behaviors. In addition, given the clinical, legal, and public health concerns of these associations, future research should address both primary and secondary interventions.

Footnotes

  • This study was supported in part by the National Institute on Alcohol Abuse and Alcoholism (Transdisciplinary Tobacco Use Research Center Grant P50 AA15632); the National Institute on Drug Abuse (Psychotherapy Development Center Grants P50DA09421 and R01-DA019039); the National Institute of Mental Health (Grant K23 MH069754-01A1); the Veterans Administration VISN1 MIRECC, and REAP; and Women's Health Research at Yale

  • Disclosures of financial or other potential conflicts of interest: None.

  • American Academy of Psychiatry and the Law

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Journal of the American Academy of Psychiatry and the Law Online: 39 (1)
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Stealing Among High School Students: Prevalence and Clinical Correlates
Jon E. Grant, Marc N. Potenza, Suchitra Krishnan-Sarin, Dana A. Cavallo, Rani A. Desai
Journal of the American Academy of Psychiatry and the Law Online Feb 2011, 39 (1) 44-52;

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Stealing Among High School Students: Prevalence and Clinical Correlates
Jon E. Grant, Marc N. Potenza, Suchitra Krishnan-Sarin, Dana A. Cavallo, Rani A. Desai
Journal of the American Academy of Psychiatry and the Law Online Feb 2011, 39 (1) 44-52;
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