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. Author manuscript; available in PMC: 2011 May 1.
Published in final edited form as: Compr Psychiatry. 2009 Jul 10;51(3):217–223. doi: 10.1016/j.comppsych.2009.06.002

Prevalence and Correlates of Fire-Setting in the United States: Results from the National Epidemiologic Survey on Alcohol and Related Conditions

Michael G Vaughn a, Qiang Fu b,*, Matt DeLisi c, John Paul Wright d, Kevin M Beaver e, Brian E Perron f, Matthew O Howard g
PMCID: PMC2857547  NIHMSID: NIHMS125892  PMID: 20399330

Abstract

Fire-setting is a serious and costly form of antisocial behavior. Our objective in this study was to examine the prevalence and correlates of intentional fire-setting behavior in the U. S. Data were derived from a nationally representative sample of U.S. residents 18 years and older. Structured psychiatric interviews (N = 43,093) were completed by trained lay interviewers between 2001-2002. Fire-setting and DSM-IV mood, anxiety, substance use and personality disorders were assessed with the Alcohol Use Disorder and Associated Disabilities Interview Schedule (DSM-IV) version. The prevalence of lifetime fire-setting in the U.S. population was 1.0%. Respondents who were men, Caucasian, 18 to 35, born in the U.S., and living in the western region of the U.S. had significantly higher rates of fire-setting than their counterparts. Fire-setting was significantly associated a wide range of antisocial behaviors. Multivariate logistic regression analyses identified strong associations between lifetime alcohol and marijuana use disorders, conduct disorder, antisocial and obsessive-compulsive personality disorders, and family history of antisocial behavior. Intentional illicit fire-setting behavior is associated with a broad array of antisocial behaviors and psychiatric comorbidities. Given the substantial personal and social costs related to arson, prevention and treatment interventions targeting fire-setters potentially could save lives and property.

1. Introduction

Fire-setting is a serious and costly form of antisocial behavior that results in hundreds of fatalities each year and property losses estimated in the hundreds of millions to more than $2 billon annually.[1-2] Fire-setting is often used interchangeably with the legal term “arson,” which is the intentional setting of fire with the intent to defraud or damage. However, fire-setting is a broader behavioral phenotype with important forensic, psychiatric, and criminological implications.[3-4] With the exception of “status offenses,” fire-setting is the only crime in the U.S. that is more commonly perpetrated by juveniles than adults, and the bulk of prior research has investigated the etiology of fire-setting in childhood and adolescence. Studies indicate that fire-setting is strongly correlated with family dysfunction, a history of abuse, school difficulties, antisocial traits including impulsivity and hostility, and co-occurring delinquent behaviors.[5-14] Along with enuresis and animal cruelty, fire-setting forms the “MacDonald Triad,” which is a conceptual model of violence risk that has been linked to multiple homicide, homicide, and sexual offending.[15-16] Fire-setting is a sign of pyromania, which is characterized by repeated fire-setting, tension or affective arousal before setting fires, fascination or attraction to fire, gratification when setting, witnessing, or participating in the aftermath of fire, and expressive motivations for fire-setting.[17]

Despite the apparent importance of fire-setting behavior to psychiatry and criminology, its epidemiology is largely unknown. For instance, the Diagnostic and Statistical Manual of Mental Disorders-IV-TR describes the prevalence of pyromania as “apparently rare.”[17] Estimates of the prevalence of fire-setting vary widely. Kolko and Kazdin’s[18] study of 300 psychiatrically disturbed children found prevalence rates of 19.4% among outpatients and 34.7% among inpatients. A recent evaluation of four cohorts of arson offenders in England and Wales from 1951 (n = 74), 1963-1965 (n = 1352), 1980-1981 (n = 5584), and 2000-2001 (n = 3335) showed increasing annual arson prevalence from 4.5% in 1951 to 10.7% in 1980-1981.[19] Even in large studies of criminal careers including those with prospective birth cohort designs, fire-setting behavior and offenders who commit fire-setting are often ignored.[20]

1.1 Study purpose

The purpose of this study was to examine the prevalence and correlates of intentional fire-setting in a nationally representative sample of U.S. adults. The primary aims were to 1) examine the prevalence of lifetime fire-setting overall and in relation to sociodemographic characteristics, antisocial behaviors, and lifetime mood, anxiety, substance use, and personality disorders, and 2) to estimate the strength of the associations between these characteristics and fire-setting in controlled multivariate analyses.

2. Materials and methods

2.1 Participants

Study findings are based on data from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). NESARC is a nationally representative sample of 43,093 non-institutionalized U.S. residents aged 18 years and older. 21 The survey gathered information on alcohol use and comorbid conditions from individuals living in households and group settings such as shelters, college dormitories, and group homes in all 50 states and the District of Columbia. NESARC utilized a multistage cluster sampling design, oversampling young adults, Hispanics, and African-Americans in the interest of obtaining reliable statistical estimation in these populations, and to ensure appropriate representation of racial/ethnic subgroups, with an overall response rate of 81%. Data were weighted at the individual and household levels to adjust for oversampling and non-response on demographic variables (i.e., age, race/ethnicity, sex, region, and place of residence). Data were also adjusted to be representative (based on region, age, race, and ethnicity) of the U.S. adult population as assessed during the 2000 Census. Study participants provided fully informed consent. The U.S. Census Bureau and the U.S. Office of Management and Budget approved the research protocol and informed consent procedures.

2.2 Diagnostic Assessment and Sociodemographic Measures

Data were collected through face-to-face interviews conducted by U.S. Census workers trained by the National Institute on Alcohol and Alcoholism and U.S. Census Bureau. Interviewers administered the Alcohol Use Disorder and Associated Disabilities Interview Schedule — DSM-IV version (AUDADIS-IV), shown to have good-to-excellent reliability in assessing alcohol and drug use in the general population.22-23

Data on fire-setting were based on an item embedded in the antisocial personality disorder interview module. All NESARC participants were asked the following question: “In your entire life, did you ever start a fire on purpose to destroy someone else’s property or just to see it burn?” NESARC respondents who answered yes were defined as having a history of fire-setting. The test-retest reliability for the antisocial personality disorder diagnosis is adequate (r = 0.69). 21 The internal consistency reliability for the antisocial personality disorder symptoms set is .86. 24

In addition to antisocial personality disorder, other personality disorders assessed included avoidant, dependent, obsessive-compulsive, paranoid, schizoid, and histrionic disorders. Consistent with prior research, 25-27 personality disorder diagnoses reflected long-standing impairments, characteristic patterns of behavior, and exclusion of cases where substance use intoxication or withdrawal, other medication use, or physical illnesses could have affected behavior. Numerous control variables were used to reduce confounding including lifetime alcohol (alcohol abuse/dependence) and drug (abuse/dependence on heroin, hallucinogens, cocaine/crack, marijuana, stimulants, painkillers, tranquilizers, and sedatives) use disorders, nicotine dependence, pathological gambling, and lifetime DSM-IV mood (major depression, dysthymia, and bipolar disorder) and anxiety (social phobia, generalized anxiety disorder, panic disorder, and specific phobia) disorders. Family history of antisocial behavior based on any parental or sibling history of antisocial behavior was also assessed. Response categories for region of residence in U.S., urbanicity, race/ethnicity, sex, age, marital status, educational background, unemployment status, and individual and family income are listed in Table 1.

Table 1.

Sociodemographic Characteristics of Adult NESARC Respondents With and Without a Lifetime History of Fire-setting Behavior

Characteristic Firesetters
(N = 407)
% CI
Non-firesetters
(N = 41,552)
% CI
OR 95% CI
Sex
 Men 82.08 (77.45-85.93) 47.43 (46.81-48.06) 4.96 (3.72-6.60)
 Women 17.92 (14.07-22.55) 52.57 (51.94-53.19) 1.00
Race
 Hispanic 7.28 (4.73-11.04) 11.57 (9.32-14.29) 0.49 (0.26-0.92)
 Asian/Alaska/Indian
  Native American 3.66 (1.93-6.85) 6.52 (5.57-7.63) 0.53 (0.25-1.11)
 African American 8.60 (6.02-12.15) 11.02 (9.80-12.37) 0.64 (0.42-0.96)
 White 80.46 (74.92-85.01) 70.88 (67.61-73.96) 1.00
Nativity
 Born in the U.S. 94.20 (88.70-97.11) 85.33 (82.07-88.07) 2.59 (1.01-6.64)
 Born in a Foreign Country 5.80 (2.89-11.30) 14.67 (11.93-17.93) 1.00
Age (years)
 65+ 4.18 (2.42-7.12) 16.39 (15.73-17.08) 0.16 (0.08-0.29)
 50-64 13.39 (10.16-17.46) 21.15 (20.62-21.68) 0.39 (0.28-0.54)
 35-49 31.26 (25.60-37.53) 31.08 (30.44-31.72) 0.64 (0.47-0.87)
 18-34 51.17 (45.01-57.30) 31.39 (30.51-32.28) 1.00
Education
 Less than High School 12.90 (9.63-17.06) 15.54 (14.60-16.53) 1.10 (0.77-1.57)
 High School Graduate 27.37 (21.83-33.72) 29.34 (28.24-30.47) 0.95 (0.69-1.30)
 Some College or Higher 59.73 (53.84-65.35) 55.11 (53.84-56.37) 1.00
Income
 0-19,999 24.14 (19.01-30.15) 23.44 (22.49-24.42) 1.34 (0.87-2.06)
 20,000-34,999 16.33 (12.35-21.28) 20.15 (19.49-20.83) 0.93 (0.62-1.41)
 35,000-69,999 35.42 (29.53-41.79) 32.15 (31.50-32.82) 1.16 (0.83-1.63)
 70,000+ 24.10 (19.17-29.84) 24.26 (22.89-25.68) 1.00
Marital Status
 Never Married 34.39 (28.53-40.77) 20.53 (19.60-21.50) 1.12 (0.80-1.57)
 Widowed/separated/divorced 11.11 (8.10-15.06) 17.42 (16.96-17.90) 1.03 (0.70-1.52)
 Married/Cohabitating 54.50 (48.23-60.62) 62.04 (61.10-62.98) 1.00
Urbanicity
Central City 33.38 (26.63-40.90) 29.39 (25.28-33.87) 1.23 (0.92-1.65)
 Rural/ Suburban 66.62 (59.10-73.37) 70.61 (66.13-74.72) 1.00
Region
 Northeast 12.70 (7.61-20.45) 19.79 (13.87-27.45) 0.42 (0.28-0.61)
 Midwest 22.09 (15.88-29.85) 23.19 (17.44-30.13) 0.54 (0.38-0.76)
 South 33.35 (25.49-42.27) 35.14 (28.96-41.86) 0.60 (0.43-0.84)
 West 31.86 (23.01-42.24) 21.88 (15.68-29.67) 1.00

Note:

a

CI: confidence interval

b

OR: odds ratio OR values in bold are statistically significant.

2.3 Statistical Analyses

Weighted prevalence estimates and standard errors were computed using SUDAAN Version 9.0. 28 This system implements a Taylor series linearization to adjust standard errors of estimates for complex survey sampling design effects including clustered data. Multivariate logistic regression analyses were conducted with simultaneous entry of sociodemographic covariates and psychiatric variables. Adjusted odds ratios (AORs) and 95% confidence intervals are presented to reflect association strength and significance. Adjusted odds ratios were considered significant only if associated confidence intervals did not include the value 1.0.

3. Results

3.1 Sociodemographic Characteristics

The overall prevalence of fire-setting in the U.S. population was 1.0%. Table 1 provides comparisons of persons with and without a lifetime history of fire-setting across NESARC sociodemographic characteristics. Unadjusted analyses revealed that persons reporting a lifetime history of fire setting were more likely to be men (OR = 4.96, 95% CI = 3.72 – 6.60), born in the U.S. (OR = 2.59, 95% CI = 1.01 – 6.64), and less likely to be African-American (OR = 0.64, 95% CI = 0.42 – 0.96), and Latino/Hispanic (OR = 0.49, 95% CI = 0.26 – 0.92). Compared to respondents between the ages of 18-34, persons 35 and older were less likely to report intentional fire setting. Compared to persons from other regions of the country (Northeast, Midwest, South), respondents from the West were more likely to report fire-setting. There were no significant differences with respect to education, income, marital status, and urbanicity.

3.2 Fire-setting and Associated Antisocial Behaviors

The prevalence of all antisocial behaviors was higher among persons with a lifetime history of fire-setting compared to persons without such a history. The most prevalent behaviors for persons with a history of fire-setting were staying out late without permission (62.62%, CI = 56.52%– 68.34%), cutting class and leaving without permission (61.42%, CI = 55.47%– 67.04%), and shoplifting (58.16%, CI = 51.79%– 64.26%). The least prevalent behavior was forcing someone to have sex (1.42%, CI = 0.59% –3.41%). The strongest associations between antisocial behaviors and fire-setting were found for destroying others’ property (OR = 29.54, 95% CI = 22.76 – 38.35), robbing/mugging someone or snatching a purse (OR = 19.36, 95% CI = 10.89 – 34.43), and forcing someone to have sex (OR = 18.36, 95% CI = 13.73 – 24.55).

3.3 Multivariate Logistic Regression Analysis Examining Associations between Fire-setting and Lifetime Comorbidity

Table 3 compares prevalence rates of lifetime psychiatric comorbidity for persons reporting and not reporting a history of fire-setting. Odd ratios are adjusted for socio-demographic factors (i.e., race, sex, education, marital status, age, income, region, and urbanicity) and previously described lifetime DSM-IV psychiatric disorders. The most prevalent psychiatric disorders among persons with a history of fire-setting were any lifetime alcohol use disorder (71.70%, CI = 65.41% – 77.24%), antisocial personality disorder (51.46%, CI = 45.64% – 57.24%), marijuana use disorder (43.17%, CI = 37.39% – 49.14%), and nicotine dependence (42.95%, CI = 36.89% – 49.23%). A family history of antisocial behavior was also highly prevalent among persons reporting a history of fire-setting (59.96%, CI = 54.14% – 65.50%). Following adjustments, significant associations were found for any lifetime alcohol use disorder (OR = 1.55, 95% CI = 1.08 – 2.22), marijuana use disorder (OR = 1.70, 95% CI = 1.21– 2.38), conduct disorder (OR = 13.85, 95% CI = 8.51 – 22.53), obsessive-compulsive (OR = 1.92, 95% CI = 1.35 – 2.74) and antisocial (OR = 12.38, 95%CI = 8.93 – 17.18) personality disorders, and family history of antisocial behavior (OR = 2.16, 95%CI = 1.66 – 2.80).

Table 3.

Psychiatric Comorbidities of Adults With and Without a Lifetime History of Fire-setting Behavior.

Comorbid Psychiatric Disorder Fire-setters
(N = 407)
% (95% CIa)
Non fire-setters
(N = 41,552)
% (95% CI)
Adjusted Odds Ratios
b
OR (95% CI)
Mood disorders
 Major depressive disorder 32.96 (26.98-39.56) 16.69 (16.00-17.40) 0.96 (0.69-1.34)
 Bipolar disorder 26.92 (21.30-33.41) 5.51 (5.18-5.87) 1.41 (0.94-2.10)
 Dysthymia 14.02 (9.88-19.51) 4.25 (3.98-4.55) 1.56 (0.95-2.56)
Anxiety disorders
 Panic disorder 8.34 (5.56-12.34) 4.05 (3.78-4.33) 0.86 (0.49-1.48)
 Social phobia 10.70 (6.96-16.11) 5.03 (4.64-5.45) 0.72 (0.44-1.19)
 Specific phobia 18.61 (14.15-23.01) 9.51 (8.92-10.14) 1.10 (0.76-1.58)
 Generalized anxiety disorder 7.41 (4.90-11.05) 4.20 (3.87-4.55) 0.64 (0.36-1.13)
Substance use disorders
 Alcohol use disorder 71.70 (65.41-77.24) 29.91 (28.41-31.46) 1.55 (1.08-2.22)
 Nicotine dependence 42.95 (36.89-49.23) 17.62 (16.66-18.62) 0.93 (0.68-1.26)
 Marijuana use disorder 43.17 (37.39-49.14) 8.11 (7.58-8.67) 1.70 (1.21-2.38)
 Other illicit drug use disorder 31.31 (26.16-36.96) 5.00 (4.62-5.41) 1.35 (0.94-1.94)
Psychotic disorder 2.92 (1.73-4.88) 0.77 (0.67-0.90) 0.88 (0.41-1.87)
Conduct disorder 9.01 (6.09-13.13) 0.99 (0.86-1.13) 13.85 (8.51-22.53)
Personality disorders
 Avoidant 6.75 (4.22-10.61) 2.36 (2.15-2.59) 0.90 (0.40-2.01)
 Dependent 1.85 (0.83-4.07) 0.49 (0.40-0.60) 0.48 (0.14-1.56)
 Obsessive-compulsive 30.36 (24.87-36.47) 7.82 (7.39-8.28) 1.92 (1.35-2.74)
 Paranoid 17.24 (13.07-22.39) 4.37 (4.07-4.69) 1.20 (0.75-1.90)
 Schizoid 11.05 (8.19-14.75) 3.11 (2.87-3.37) 1.03 (0.61-1.74)
 Antisocial 51.46 (45.64-57.24) 3.18 (2.92-3.45) 12.38 (8.93-17.18)
 Histrionic 12.07 (8.72-16.46) 1.76 (1.60-1.95) 1.43 (0.87-2.36)
Pathological gambling 2.75 (1.52-4.91) 0.41 (0.34-0.49) 1.53 (0.63-3.73)
Family history of antisocial
behavior
59.96 (54.14-65.50) 22.62 (21.58-23.69) 2.16 (1.66-2.80)

Note:

a

CI: confidence interval

b

OR: odds ratio adjusted for sociodemographic variables, lifetime psychiatric disorders, and a family history of antisocial behavior. OR values in bold are statistically significant.

4. Discussion

To our knowledge, this is the largest national epidemiological study examining the association between fire-setting and psychiatric diagnoses. Findings indicated that the prevalence of fire-setting varied by sociodemographic status, was associated with all antisocial behaviors, and following adjustments for numerous confounding variables was associated with several lifetime psychiatric diagnoses. Specifically, the current investigation found that the prevalence of fire-setting was higher among males and lower among African Americans and Hispanics, persons age 35 and older, and persons living in the Northeast, Midwest, and South. Two additional empirical trends are particularly important. First, compared to persons who have not set fires, fire-setters engage in multiple forms of antisocial behavior spanning a range of social dimensions including school behavior, driving and traffic-related behavior, interpersonal relationships, and crime. As shown in Table 2, the odds ratios for serious forms of antisociality, such as cruelty to animals, robbery, forcible rape, assault, aggravated assault, and weapons use are high. These findings support general theoretical viewpoints which suggest that antisociality is an omnibus disposition that is significantly related to problem behaviors across time and various settings. 29-30 Second, fire-setting was unrelated to income, educational attainment, marital status, urbanicity, mood disorders, anxiety disorders, and psychotic disorder. There was significant comorbidity between fire-setting and alcohol use disorder, marijuana use disorder, obsessive-compulsive personality disorder, and family history of antisocial behavior. These effects were relatively modest and ranged from odds ratios of 1.55 to 2.16. There was also comorbidity between fire setting and conduct disorder (OR = 13.85, CI = 8.51-22.53) and fire setting and antisocial personality disorder (OR = 12.38, CI = 8.93-17.18) and these effects were very strong. This suggests that persons who commit fire setting are severely antisocial with important psychiatric impairments as suggested by prior research.10

Table 2.

Lifetime Prevalence of Antisocial Behaviors in Adults With and Without a Lifetime History of Fire-setting Behavior

Behavior Fire-setters
(N = 407)
% (95%CIa)
Non Fire-setters
(N = 41,552)
% (95%CIa)
ORb 95% CI
Violent
Force someone to have sex 1.42 (0.59-3.40) 0.12 (0.09-0.17) 18.36 (13.73-24.55)
Get into lots of fights that you
started
21.04 (16.51-26.51) 2.61 (2.38-2.85) 11.57 (4.38-30.53)
Get into a fight that came to
swapping blows with Husband/Wife
or Boyfriend/Girlfriend
18.91 (15.08-23.44) 6.50 (6.07-6.96) 9.96 (7.17-13.84)
Use a weapon in a fight 21.32 (16.80-26.66) 2.47 (2.26-2.70) 3.35 (2.49-4.51)
Hit someone so hard that you injure
them
34.91 (29.22-41.06) 5.69 (5.29-6.11) 10.69 (7.81-14.64)
Harass/threaten/blackmail someone
21.50 (16.48-27.55) 1.50 (1.33-1.69) 8.89 (6.71-11.79)
Bully/push people 34.11 (28.50-40.19) 5.93 (5.55-6.34) 8.20 (6.25-10.77)
Hurt an animal on purpose 17.61 (12.99-23.44) 1.64 (1.48-1.83) 12.79 (8.85-18.49)
Rob/mug someone or snatch a purse
4.57 (2.82-7.33) 0.25 (0.19-0.32) 19.36 (10.89-34.43)
Do things that could have easily hurt
you/others
53.08 (46.79-59.27) 13.69 (12.74-14.70) 7.13 (5.51-9.22)
Non-violent
Cut class and leave without
permission
61.42 (55.47-67.04) 21.49 (20.77-22.24) 5.81 (4.50-7.51)
Stay out late at night 62.62 (56.52-68.34) 25.38 (24.49-26.29) 4.93 (3.76-6.46)
Run away from home overnight 26.44 (21.40-32.19) 4.90 (4.59-5.24) 6.97 (5.25-9.25)
Be absent from work/ school a lot 32.84 (26.84-39.45) 6.60 (6.23-7.00) 6.91 (5.17-9.25)
Quit a job without knowing where
to find another
42.11 (36.45-47.98) 11.27 (10.68-11.89) 5.72 (4.46-7.35)
Quit a school program without
knowing what to do next
18.99 (15.25-23.39) 3.65 (3.35-3.97) 6.19 (4.71-8.14)
Travel around more than 1 month
without plans
17.89 (13.85-22.81) 3.28 (3.03-3.54) 6.44 (4.74-8.74)
Have no regular place to live at least
1 month
20.00 (15.61-25.24) 2.56 (2.31-2.85) 9.50 (7.00-12.88)
Live with others at least 1 month 37.87 (32.00-44.13) 10.87 (10.19-11.60) 5.00 (3.88-6.44)
Lie a lot 33.32 (27.55-39.65) 4.98 (4.67-5.30) 9.55 (7.17-12.71)
Use a false or made up name/ alias
19.63 (15.06-25.17) 1.95 (1.78-2.13) 12.29 (8.85-17.07)
Scam/con someone for money 18.90 (14.52-24.22) 1.32 (1.16-1.49) 17.46 (12.63-24.14)
Get three or more traffic tickets for
reckless driving/causing accidents
23.39 (18.90-28.58) 8.52 (7.89-9.20) 3.28 (2.45-4.39)
Have a driver’s license
suspended/revoked
26.42 (21.75-31.70) 7.57 (7.06-8.11) 4.39 (3.36-5.72)
Destroy others’ property 49.58 (43.51-55.66) 3.22 (2.94-3.53) 29.54 (22.76-38.35)
Fail to pay off your debts 24.13 (18.76-30.46) 3.95 (3.63-4.29) 7.74 (5.56-10.78)
Steal anything from others 56.79 (50.15-63.20) 8.46 (7.90-9.05) 14.23 (10.74-18.85)
Forge someone’s signature 14.22 (10.52-18.94) 2.01 (1.83-2.21) 8.07 (5.66-11.51)
Shoplift 58.16 (51.79-64.26) 10.80 (10.11-11.52) 11.48 (8.82-14.96)
Make money illegally 27.90 (22.49-34.05) 2.48 (2.25-2.74) 15.19 (11.12-20.76)

Note:

a

CI: confidence interval. bOR: odds ratio. OR values in bold are statistically significant.

b

OR: odds ratio. OR values in bold are statistically significant.

4.1 Limitations

As with other studies, current study findings require interpretation within the context of several limitations. One limitation is the data are cross-sectional. As such, the findings cannot clarify the etiological relationship of fire-setting to identified correlates. For example, alcohol abuse/dependence may disinhibit neuroregulatory processes, making the expression of fire-setting behavior more likely or both alcohol abuse and fire-setting behavior may be caused, in part, by a third factor, such as dysregulated serotonergic neurotransmission. However, findings do suggest that the origins of fire-setting and psychopathology are intertwined. The prognostic relationship between fire-setting and psychiatric disorders will require longitudinal study designs beginning earlier in the life course. The age of onset of fire-setting behavior is potentially important and unfortunately the NESARC does not provide data pertaining to the age at which fire-setting began. NESARC excludes persons under the age of 18 and therefore relies on retrospective respondent recall of fire-setting over potentially long periods of time. This could lead to underreporting or to biased reporting with younger respondents recalling better than older respondents. This disparity could also reflect secular trends. Although the NESARC is a nationally representative sample, it is uncertain how the association between fire-setting and psychiatric comorbidity would be similar or different if enriched correctional or clinical samples were employed. In addition, the data on fire-setting did not include important contextual, situational, and precipitating information which is important to understanding fire-setting.1 Further, the single item on fire-setting does not permit us to distinguish between episodic versus chronic fire-setting. Also, the stigmatized nature of fire-setting could well lead to underreporting of the behavior. Thus, the problem is likely to be larger than the findings reveal—this is especially the case given that the behavior is illegal. Further, theoretically, it would seem possible to start a fire just to see it burn and to do so in a way that was not illegal or dangerous. For example, camp fires are acts that are quite ordinary, particularly in the Western U.S. So, it is possible that the item capture’s a lot of false positives for fire-setting. Future studies on fire setting would benefit from including these natural history features in such assessments. Despite these limitations, findings from this study provide new and important epidemiologic insights into the problem of fire-setting in the U.S.

Acknowledgements

NESARC was funded by the National Institute on Alcohol Abuse and Alcoholism with additional support provided by the National Institute on Drug Abuse. The authors are grateful for support from NIH grants: DA021405 (Dr. Howard) and K07CA104119 (Dr. Fu).

Footnotes

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References

  • [1].Putnam CT, Kirkpatrick JT. Juvenile fire setting: a research overview. Office of Juvenile Justice and Delinquency Prevention; Washington, DC: 2005. [Google Scholar]
  • [2].Fineman KR. Arson. In: Hickey E, editor. Encyclopedia of Murder & Violent Crime. Thousand Oaks. Sage; CA: 2003. pp. 26–32. [Google Scholar]
  • [3].Turvey BE. Fire and explosives: behavioral aspects. In: Turvey E, editor. Criminal Profiling: An Introduction to Behavioral Evidence Analysis. second edition Elsevier Academic Press; Amsterdan, Netherlands: 2002. pp. 391–410. [Google Scholar]
  • [4].Douglas JE, Burgess AW, Burgress AG, Ressler RK. Crime Classification Manual: A Standard System for Investigating and Classifying Violent Crimes. Jossey-Bass; San Francisco, CA: 1992. [Google Scholar]
  • [5].Becer KD, Stuewig J, Herrera VM, McCloskey LA. A study of fire setting and animal cruelty in children: family influences and adoelscent outcomes. J Amer Acad Child Adol Psych. 2004;43:905–912. doi: 10.1097/01.chi.0000128786.70992.9b. [DOI] [PubMed] [Google Scholar]
  • [6].Soothill KL, Pope PJ. Arson: a 20-year cohort study. Med Sci Law. 1973;13:127–138. doi: 10.1177/002580247301300211. [DOI] [PubMed] [Google Scholar]
  • [7].Fineman KR. A model for the qualitative analysis of child and adult fire deviant behavior. Amer J of For Psych. 1995;13:31–60. [Google Scholar]
  • [8].Cox-Jones C, Lubetsky MJ, Fultz SA, Kolko DJ. Case study: inpatient psychiatic treatment of a young recidvist firesetter. J Amer Acad Child Adol Psych. 1990;29:936–941. doi: 10.1097/00004583-199011000-00017. [DOI] [PubMed] [Google Scholar]
  • [9].Root C, MacKay S, Henderson J, Del Bove G, Warling D. The link between maltreatment and juvenile fire setting: correlates and underlying mechanisms. Child Abuse & Neglect. 2008;32:161–176. doi: 10.1016/j.chiabu.2007.07.004. [DOI] [PubMed] [Google Scholar]
  • [10].Repo E, Virkkunen M. Young arsonists: history of conduct disorder, psychiatric diagnoses and criminal recidivism. J For Psych & Psychology. 1997;8:311–320. [Google Scholar]
  • [11].Lindberg N, Holi MM, Tani P, Virkkunen M. Looking for pyromania: characteristics of a consecutive sample of Finnish male criminals with histories of recidivist fire setting between 1973 and 1993. BMC Psych. 2005;5:47. doi: 10.1186/1471-244X-5-47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Kazdin AE, Kolko DJ. Patietn psychopathology and family funcitoning among childhood fire setters. J Abn Child Psychology. 1986;14:315–329. doi: 10.1007/BF00915449. [DOI] [PubMed] [Google Scholar]
  • [13].Kolko DJ, Kazdin AE. Matchplay and fire setting in children: relationship to parent, marital, and family dysfunction. J Clin Child Psychology. 1990;19:229–238. [Google Scholar]
  • [14].Virkunnen M, Eggert M, Rawlings R, Innoila M. A prospective follow-up study of alcoholic violent offenders and fire setters. Arch Gen Psychiatry. 1996;53:523–529. doi: 10.1001/archpsyc.1996.01830060067009. [DOI] [PubMed] [Google Scholar]
  • [15].MacDonald JM. The threat to kill. Am J Psychiatry. 1963;120:125–130. [Google Scholar]
  • [16].Hellman DS, Blackman N. Enuresis, fire setting, and cruelty to animals: a triad predictive of adult crime. Am J Psychiatry. 1966;122:1431–1435. doi: 10.1176/ajp.122.12.1431. [DOI] [PubMed] [Google Scholar]
  • [17].American Psychaitric Association . Diagnostic and Statistical Manual of Mental Disorders. Fourth edition. American Psychiatric Association; Washington, DC: 2000. Text Revision. [Google Scholar]
  • [18].Kolko DJ, Kazdin AE. Prevalence of fire setting and related behaviors aong child psychiatric patients. J of Consul Clin Psychology. 1988;56:628–630. doi: 10.1037//0022-006x.56.4.628. [DOI] [PubMed] [Google Scholar]
  • [19].Soothill K, Ackerley E, Francis B. The criminal careers of arsonists. Med Sci Law. 2004;44:27–40. doi: 10.1258/rsmmsl.44.1.27. [DOI] [PubMed] [Google Scholar]
  • [20].DeLisi M. Extreme career criminals. Am J Crim Just. 2001;25:239–252. [Google Scholar]
  • [21].Grant BF, Dawson DA, Stinson FS, Chou PS, Kay W, Pickering R. The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): Reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug Alc Depend. 2003;71:7–16. doi: 10.1016/s0376-8716(03)00070-x. [DOI] [PubMed] [Google Scholar]
  • [22].Grant BF, Harford T, Dawson DA, Chou PS, Pickering RP. The Alcohol Use Disorder and Associated Disabilities Interview schedule (AUDADIS): Reliability of alcohol and drug modules in a general population sample. Drug Alc Depend. 1995;39:37–44. doi: 10.1016/0376-8716(95)01134-k. [DOI] [PubMed] [Google Scholar]
  • [23].Hasin D, Carpenter KM, McCloud S, Smith M, Grant BF. The alcohol use disorders and associated disabilities interview schedule (AUDADIS): Reliability of alcohol and drug modules in a clinical sample. Drug Alc Depend. 1997;44:133–141. doi: 10.1016/s0376-8716(97)01332-x. [DOI] [PubMed] [Google Scholar]
  • [24].Blanco C, Grant J, Petry NM, Simpson HB, Alegria A, Liu S, Hasin D. Prevalence and correlates of shoplifting in the United States: Results from the national epidemiologic survey on alcohol and related conditions (NESARC) Am J Psychiatry. 2008;165:905–913. doi: 10.1176/appi.ajp.2008.07101660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [25].Grant BF, Stinson FS, Hasin DS, Dawson DA, Chou SP, Ruan WJ, et al. Co-occurrence of 12-month alcohol and drug use disorders and personality disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2004;61:361–368. doi: 10.1001/archpsyc.61.4.361. [DOI] [PubMed] [Google Scholar]
  • [26].Grant BF, Hasin D, Stinson FS, Dawson DA, Chou PS, Ruan WJ, Pickering R. Prevalence, correlates, and disability of personality disorders in the United States: Results from the National Epidemiologic Survey of Alcohol and Related Conditions. J Clin Psychiatry. 2004;65:948–958. doi: 10.4088/jcp.v65n0711. [DOI] [PubMed] [Google Scholar]
  • [27].Goldstein RB, Grant BF, Juan WJ, Smith SM, Saha TD. Antisocial personality disorder with childhood- vs. adolescence-onset conduct disorder: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Nerv Ment Dis. 2006;194:667–675. doi: 10.1097/01.nmd.0000235762.82264.a1. [DOI] [PubMed] [Google Scholar]
  • [28].Research Triangle Institute . Software for Survey Data Analysis, SUDAAN. Version 9.0 Research Triangle Institute; Research triangle Park, NC: 2004. [Google Scholar]
  • [29].Gottfredson MR, Hirsch T. A General Theory of Crime. Stanford University Press; Stanford, CA: 1990. [Google Scholar]
  • [30].DeLisi M. Thousand Oaks. Sage; CA: 2005. Career Criminals in Society. [Google Scholar]

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