Vol.:(0123456789)
1 3
Research on Child and Adolescent Psychopathology
https://doi.org/10.1007/s10802-021-00805-0
Distress Tolerance asaMechanism Linking Violence Exposure
toProblematic Alcohol use inAdolescence
CharlotteHeleniak
1
· ChinaR.Bolden
2
· ConnorJ.McCabe
3
· HilaryK.Lambert
3
· MayaL.Rosen
3
· KevinM.King
3
·
KathrynC.Monahan
4
· KatieA.McLaughlin
5
Accepted: 7 March 2021
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
Abstract
Adolescents exposed to violence are at elevated risk of developing most forms of psychopathology, including depression,
anxiety, and alcohol abuse. Prior research has identified emotional reactivity and difficulties with emotion regulation as core
mechanisms linking violence exposure with psychopathology. Scant research has examined behavioral responses to distress as
a mechanism in this association. This study examined the association of violence exposure with distress tolerance—the ability
to persist in the face of distress—and whether lower distress tolerance linked violence exposure with subsequent increases
in depression, anxiety, and alcohol abuse problems during adolescence. Data were collected prospectively in a sample of
287 adolescents aged 16–17 (44.3% male; 40.8% White). At Time 1, participants provided self-report of demographics, vio-
lence exposure, and psychopathology, and completed a behavioral measure of distress tolerance, the Paced Auditory Serial
AdditionTask. Four months later, participants (n = 237) repeated the psychopathology assessments. Violence exposure was
associated with lower distress tolerance (β = -.21 p = .009), and elevated concurrent psychopathology (β = .16-.45, p = .001-
.004). Low distress tolerance was prospectively associated with greater likelihood of abusing alcohol over time (OR = .63,
p = .021), and mediated the association between violence exposure and greater levels (β = .02, 95% CI [.001, .063]) and
likelihood (OR = .03, 95% CI [.006, .065]) of alcohol use over time. In contrast, low distress tolerance was not associated
concurrently or prospectively with internalizing symptoms. Results persisted after controlling forsocio-economic status.
Findings suggest that distress tolerance is shaped by early experiences of threat and plays a role in the association between
violence exposure and development of problematic alcohol use in adolescence.
Keywords Violence· Adversity· Distress tolerance· Alcohol· Internalizing· Adolescence
Exposure to interpersonal violence is common in children
and adolescents, with some estimates suggesting that nearly
half of U.S. adolescents have directly witnessed or been the
victim of violent assault in their lifetimes (Finkelhor etal.,
2013). These rates are concerning because exposure to inter-
personal violence in childhood is a potent risk factor for
many commonly occurring mental health problems, includ-
ing depression, anxiety, and alcohol abuse (Kessler etal.,
2005; Keyes etal., 2012; Klitzman & Freudenberg, 2003;
McLaughlin etal., 2012; Molnar etal., 2001; Ward etal.,
2001). Disruptions in emotional processing and emotion
regulation have frequently been posited to be a key mecha-
nism underlying the association between violence exposure
and psychopathology (McLaughlin, 2016; McLaughlin &
Lambert, 2017). Here, we examine whether reductions in
distress tolerance—the ability to persist in the face of emo-
tional distress or frustration (Daughters etal., 2009)-explains
the association between violence exposure and symptoms
of alcohol abuse, depression, and anxiety in adolescence.
Adverse childhood experiences, defined as circum-
stances that deviate from the expectable environment and
* Charlotte Heleniak
1
Department ofPsychology, Columbia University, 1190
Amsterdam Ave, NewYork, NY10027, USA
2
School ofPsychology, Family, andCommunity, Seattle
Pacific University, Seattle, Washington, USA
3
Department ofPsychology, University ofWashington,
Guthrie Hall (GTH), Seattle, WA119A98195-1525, USA
4
Department ofPsychology, University ofPittsburgh,
Pittsburgh, PA15260, USA
5
Department ofPsychology, Harvard University, 33 Kirkland
St, Cambridge, MA02138, USA
Research on Child and Adolescent Psychopathology
1 3
that require significant psychological, social, or neuro-
biological adaptation, are associated with increased risk
for virtually all forms of psychopathology (McLaughlin,
2016). Recent conceptual models suggest the need to
distinguish between experiences of threat that involve
harm or threat of harm (i.e., exposure to violence, physi-
cal abuse) and experiences of deprivation that involve an
absence of expected social and cognitive inputs from the
environment (i.e., neglect, institutional rearing) when
studying their downstream consequences on developmen-
tal outcomes (McLaughlin & Sheridan, 2016; McLaughlin
etal., 2014). Here, we focus on environmental experiences
that share the common feature of being a potential threat to
the child’s safety, including physical abuse, sexual abuse,
and violence exposure in the community.
Experiences of threat are likely to have strong influ-
ences on emotional processing across development, lead-
ing to lasting changes in emotional reactivity and the
ability to modulate responses to negative emotion. Spe-
cifically, evidence from behavioral and neuroimaging stud-
ies suggest that childhood violence exposure is associ-
ated with increased emotional reactivity as measured by
self-report both concurrently (Heleniak etal., 2017) and
longitudinally (Heleniak etal., 2015), and in neuroimag-
ing measures of amygdala response to negative emotional
stimuli (McCrory etal., 2011, 2013; McLaughlin etal.,
2015). Heightened emotional responses to potential threats
likely represent a positive adaptation to living in a danger-
ous environment, as they facilitate early identification of
threat and may promote safety-seeking behavior. In addi-
tion to heightened emotional reactivity, children who have
experienced violence also experience difficulty modulat-
ing emotional reactions and disengaging from negative
stimuli. This has been demonstrated for multiple forms of
emotion regulation, including engagement in rumination—
a strategy that is strongly linked to persistent distress and
risk for psychopathology (Nolen-Hoeksema etal., 2008),
adaptation to emotional conflict—an implicit form of emo-
tion regulation that has been consistently linked to risk for
psychopathology (Etkin & Schatzberg, 2011; Etkin etal.,
2006; Gyurak etal., 2011), and cognitive reappraisal—
an explicit or effortful form of emotion regulation with
strong associations with psychopathology (Ochsner &
Gross, 2005). Children with histories of exposure to vio-
lence demonstrate higher levels of rumination (Heleniak
etal., 2015, 2017), difficulty adapting to emotional conflict
(Lambert etal., 2017; Marusak etal., 2015), and exhibit
greater recruitment of the prefrontal cortex (PFC) during
cognitive reappraisal, suggesting that the process is more
effortful or difficult for them (McLaughlin etal., 2015).
Finally, children exposed to violence exhibit reduced rest-
ing-state functional connectivity between the amygdala
and medial PFC (Herringa etal., 2013; Marusak etal.,
2015; Thomason etal., 2015), a circuit with a known role
in multiple forms of emotion regulation.
A second area of research has focused on elucidating on
how violence disrupts the processing of social information
and shapes normative beliefs in ways that increase risk spe-
cifically for antisocial behavior. Physically abused children
are more likely to overidentify anger in others using less per-
ceptual information (Pollak & Sinha, 2002), and to interpret
socially ambiguous contexts as hostile (Dodge etal., 1990).
When deciding how to react to perceived social threat, these
children generate a smaller range of potential responses,
select responses that are more aggressive, and foresee fewer
negative consequences to responses that are antisocial
(Guerra & Slaby, 1990; Perry etal., 1986). This pattern of
cognitive biases has been widely studied as a mechanism
linking violence with the development of aggressive behav-
ior (Guerra & Huesmann, 2004; Haegerich & Tolan, 2008).
Yet relatively little is known about how violence may shape
more subtle behavioral responses to everyday stressors and
frustrations. Heightened emotional reactivity, difficulty regu-
lating negative emotions, and cognitive biases may make it
more difficult for children exposed to violence to persist dur-
ing difficult and frustrating tasks. We are unaware of prior
research examining whether violence exposure influences
distress tolerance in children and adolescents. The vast
majority of research on distress tolerance has conceptual-
ized it as trait-like (for reviews, see (Leyro etal., 2010) and
(Zvolensky etal., 2010)). However, initial evidence from
adult studies suggest that a history of violence exposure is
associated with lower distress tolerance (Gratz etal., 2007;
Vujanovic etal., 2011). Furthermore, Bernstein and col-
leagues (2008) found that a stress induction decreased the
ability of adults to withstand distress while persisting in
goal-related behavior. These studies highlight the plausible
role that environmental factors play in the development of
distress tolerance, particularly experiences of threat-related
adversity.
Numerous cross-sectional studies have identified low
distress tolerance as a vulnerability factor for substance use
problems among adults (Buckner etal., 2007; Gorka etal.,
2012; Marshall-Berenz etal., 2011; Simons & Gaher, 2005),
and among adolescents (Daughters etal., 2009; MacPherson
etal., 2010). Individuals who are prone to escaping rather
than persisting through challenging negative emotional
and physical states may be particularly vulnerable for the
immediate physiological relief provided by alcohol and other
substances (King etal., 2018a, 2018b). Although there has
long been a focus on identifying internalizing predictors
of adolescent substance use (e.g., Hussong etal., 2011),
remarkably few studies have examined distress tolerance as a
prospective predictor of the onset of substance use problems.
It is surprising that this association has yet to be examined
prospectively during the developmental period when most
Research on Child and Adolescent Psychopathology
1 3
individuals initiate use (Johnston etal., 2016). For adoles-
cents with low distress tolerance, relying on alcohol may be
a particularly attractive method for avoiding the discomfort
generated by the interpersonal stressors that occur more fre-
quently during adolescence and are more likely to trigger
negative affect than in prior developmental periods (Larson
& Ham, 1992; Larson & Lampman-Petraitis, 1989; Rudolph
& Hammen, 1999). Of course, a variety of other risk factors
for adolescent alcohol abuse have been identified, including
environmental factors such as parenting (e.g. low monitor-
ing, high permission), peer and sibling drinking, and soci-
odemographic factors including race/ethnicity, religion, and
gender (Barnes etal., 2005; Donovan, 2004; Hopfer etal.,
2003). Parental alcohol use has gained attention as a predic-
tor of adolescent problem drinking because it can serve as
both a genetic marker of risk for alcohol problems, as well
as provide a social learning model for the child (Lee etal.,
2014). Another prominent pathway to alcohol problems in
adolescence has been positive alcohol expectancies and
motives for drinking (McBride etal., 2014; Patrick etal.,
2010). Yet, the risks associated with distress tolerance and
other impulsivity-related behaviors (Stautz etal., 2013) are
poorly understood in adolescents. We focus here on this rela-
tively understudied pathway that may be uniquely important
in that distress tolerance may continue to confer risk for
alcohol problems into adulthood and presents a clear target
for intervention, unlike many environmental and sociode-
mographic risk factors (e.g., poverty, parental alcohol use).
While existing evidence indicates that low distress toler-
ance is a risk factor for substance use problems, relatively few
studies have examined whether low distress tolerance may be
better characterized as a transdiagnostic risk factor underlying
the onset and maintenance of a wider range of mental health
problems, including anxiety and depression. Yet theoretical
support from the field of personality research has converged
around the related idea that a tendency for impulsive avoid-
ance places individuals at risk for psychopathology of many
kinds (Barlow etal., 2014; Cyders & Smith, 2008; Johnson
etal., 2013). Indeed, low distress tolerance has been associ-
ated with anxiety symptoms and disorders in cross-sectional
studies (Boelen & Reijntjes, 2009; Bonn-Miller etal., 2009;
Buckner etal., 2007; Daughters etal., 2009). However, both
low distress tolerance and anxiety disorders are characterized
by greater attention and sensitivity to negative arousal and
behavioral avoidance of distressing contexts. It is therefore
possible that low distress tolerance does not precede anxiety
symptoms but simply reflects their presence. Similarly, it is
difficult to disentangle the relation between low distress toler-
ance and depression. It is possible that the low persistence in
the face of negative emotions may lead to social withdrawal
and hopelessness, key features of depression. Yet it is also
possible the perseverative focus on negative emotional infor-
mation and difficulty persisting in goal-directed behavior
observed in depression (Joormann & Gotlib, 2010; Nolen-
Hoeksema etal., 2008) may lead people to perform poorly on
tasks of distress tolerance. A large body of research has exam-
ined a variety of factors that predict adolescent depression,
including negative peer and school experiences (Lu, 2019;
Reinherz etal., 2000), parenting factors like family conflict
(Rueter etal., 1999), and parental depression (Beardslee etal.,
1998; Jellinek & Snyder, 1998), and cognitive factors like
self-criticism, rumination and a negative attributional style
(Abramson etal., 1989; Auerbach etal., 2014; Beck etal.,
1983; Nolen-Hoeksema, 2000). However, we are aware of
only one study that has examined the role of distress tolerance
predicting growth in anxiety and depression symptoms longi-
tudinally across late childhood/early adolescence. Cummings
and colleagues (2013) found that distress tolerance, though
associated with internalizing problems concurrently, did not
predict growth in these symptoms across four years. This
study provides initial evidence that low distress tolerance may
be a consequence rather than risk factor for internalizing prob-
lems. Yet it is clear that more research is needed to understand
whether low distress tolerance heightens vulnerability for the
onset of anxiety and depression symptoms, particularly during
adolescence when these problems most commonly emerge.
The present study addresses these gaps in the literature by
examining distress tolerance as a potential mechanism linking
exposure to interpersonal violence in childhood with symp-
toms of alcohol abuse, anxiety, and depression in a diverse,
community-based sample of adolescents. First, we examined
whether exposure to interpersonal violence was associated
with distress tolerance. We examined distress tolerance using a
behavioral task rather than questionnaire measure as self-report
relies heavily on subject self-awareness, is less ecologically
valid, and evidence suggests that self-report measures of dis-
tress tolerance are not correlated with actual distress tolerance
behavior (McHugh etal., 2013). Second, we evaluated whether
low distress tolerance was associated with adolescent psycho-
pathology—including symptoms of alcohol abuse, depression,
and anxiety—both concurrently and prospectively over a four-
month period. Third, we examined whether low distress toler-
ance mediated the association between interpersonal violence
exposure and increases in symptoms of psychopathology. We
expected that greaterexposure to interpersonal violence would be
associated with decreased tolerance for distress. We addition-
ally predicted that lower levels of distress tolerance would be
associated with problematic alcohol use and higher anxiety and
depression symptoms both concurrently and prospectively, and
would mediate the association between interpersonal violence
exposure and later psychopathology. Finally, we expected that
the associations of interpersonal violence with psychopathol-
ogy and distress tolerance would persist after controlling for
socio-economic status (SES), specifically poverty and mater-
nal education.
Research on Child and Adolescent Psychopathology
1 3
Method
This is the sixth paper from a large multi-site study on mech-
anisms linking childhood adversity with psychopathology.
Other papers from this data set examine associations of
adversity with automatic and effortful regulation and psy-
chopathology (Adrian etal., 2019; Heleniak etal., 2017;
King, Feil, etal., 2018a, 2018b; King, McLaughlin, etal.,
2018a, 2018b; Lambert etal., 2017). This is the first paper
using this dataset to examine distress tolerance in relation
to either violence exposure or alcohol use problems. This
study was conceived and executed (2011–2014) before the
current practice of publishing a study protocol or registering
an analysis plan was established.
Sample
Participants were drawn from a study of 287 adolescents
aged 16 -17years, recruited in 3 major metropolitan areas in
the U.S. (Seattle, Boston, and Pittsburgh). Recruitment was
focused in community centers and after-school programs,
including in low SES areas to ensure sample variation on
the basis of race and ethnicity, SES, and exposure to adver-
sity. Additionally, community mental health and education
organizations that provided services for trauma-exposed
youth were targeted. The final study sample included 287
adolescents (54.4% female) and their parents. The sample
was racially and ethnically diverse (40.8% White; 20.6%
Black; 16.0% Asian; 6.3% Hispanic; and 14.6% Biracial
or other). Parental informed consent and youth assent were
required for participation.
Measures
Violence Exposure Participants completed the Childhood
Trauma Questionnaire (CTQ;Bernstein etal., 1994, 1997,
2003), which assesses frequency of exposure to abuse and
neglect during childhood and adolescence. Evidence to sup-
port the validity of the CTQ as a retrospective measure of child
abuse was provided by Bernstein and colleagues (1994, 1997)
by showing good internal consistency (α = 0.79-0.94), test–
retest reliability over a two to six month period (ICC = 0.88), as
well as discriminant validity when compared with therapist rat-
ings in an inpatient adolescent psychiatric setting (i.e. r = 0.46-
0.72, p < 0.0001). To assess violence exposure, scores on 15
items in the physical, emotional, and sexual abuse subscales
were summed to produce a total child abuse score, with higher
scores indicating greater exposure. These items demonstrated
good reliability in this sample (α = 0.88). Approximately
25.1% of the sample met criteria for exposure to child abuse
based on a previously validated cut-off (Walker, & etal, 1999).
The Screen for Adolescent Violence Exposure (SAVE;
Hastings & Kelley, 1997) is a 32-item measure which
assesses frequency of direct and indirect exposure to vio-
lence in school, home, and neighborhood settings. Respond-
ents rate the frequency of exposure to indirect community
violence (e.g., “I have seen someone get beat up”), trau-
matic community violence (e.g., “Someone has pulled a
knife on me”) and physical/verbal abuse (e.g., “Grownups
hit me”) on a five-point Likert scale. In their development
and validation study of the SAVE, Hastings and Kelley
(1997) found that the SAVE demonstrated good validity in
detecting violence exposure; it correctly classified 79.37%-
82.56% of high and low- violence groups and significant
correlations with neighborhood crime data (r = 0.28-0.35,
p < 0.001), and had good internal consistency (α = 0.65-
0.95). The 12 items from the traumatic community violence
scale were summed to produce a direct community violence
exposure score. The traumatic community violence scale
of the SAVE demonstrated good reliability in this sample
(α = 0.87).
Child abuse and community violence each represent
experiences of threat that are hypothesized to influence
emotional processing in similar ways (McLaughlin etal.,
2014). We therefore calculated a continuous total violence
exposure score for each participant by first standardizing
the total CTQ child abuse score and the SAVE traumatic
community violence score, and then summing these two
standardized scores to create a composite measure. A simi-
lar approach has been used in prior work with this sample
(Lambert etal., 2017).
Psychopathology We used three measures to assess prob-
lematic alcohol use and abuse, anxiety, and depression. The
Alcohol Use Disorders Identification Test (AUDIT; Saunders
etal., 1993) is a 10-item self-report measure of problematic
alcohol use. Respondents answer questions regarding past-
year frequency of alcohol consumption (e.g. “How often do
you have six or more drinks on one occasion?”), problem-
atic drinking behavior (e.g. “How often during the last year
have you found that you were not able to stop drinking once
you had started?”), and adverse psychological reactions (e.g.
“How often during the last year have you had a feeling of guilt
or remorse after drinking?”) on a Likert scale from never (0)
to 4 or more times a week (4) as well as questions regarding
whether there have been alcohol-related injuries (e.g., “Have
you or someone else been injured as a result of your drink-
ing?”). These 10 items were used to calculate a total mean
AUDIT score. As is typical in substance use measurement,
the total scores on the AUDIT were not normally distributed
(Maisto etal., 2000). We addressed this by examining problem
drinking in two ways in all analyses examining alcohol use. To
examine problem drinking continuously, we log-transformed
the total mean AUDIT score for each individual subject. We
Research on Child and Adolescent Psychopathology
1 3
additionally created a binary AUDIT variable in order to com-
pare participants who did and did not engage in any problem
drinking behavior. Evidence to support the validity of the
AUDIT in the detection of harmful drinking was provided
by Bohn and colleagues (1995) by showing its significant
correlation (i.e., r = 0.54-0.88, p < 0.01) with the MAST and
MacAndrew alcoholism screening tests in a sample of known
alcoholics and general medical patients.The AUDIT demon-
strated good reliability in this sample (α = 0.81).
The Childrens Depression Inventory (CDI; Kovacs,
1992) is a widely used self-report measure of depression
within youth aged 7 to 17. The CDI includes 27 items con-
sisting of three statements (e.g., “Nothing will ever work
out for me”, “I am not sure if things will work out for me”,
“Things will work out for me OK”) representing different
levels of severity of a specific symptom of depression. The
item pertaining to suicidal ideation was removed. The 26
remaining items were summed for a total score. In a large
community sample, Smucker etal. (1986) demonstrated that
the CDI has good internal consistency (i.e. α = 0.84-0.89),
and in their sample of pediatric hospital patients, Allgaier
and colleagues (2012) demonstrated that the CDI had both
good sensitivity (83.3%) and specificity (82.7%). The CDI
demonstrated good reliability in this sample (α = 0.86).
The Multidimensional Anxiety Scale for Children
(MASC; March etal., 1997) is a 39-item measure of child
anxiety. The MASC assesses physical symptoms of anxi-
ety (e.g., “I’m jumpy”), harm avoidance (e.g., “I keep my
eyes open for danger”), social anxiety (e.g., “I worry about
getting called on in class”), and separation anxiety (e.g.,
“I get scared when my parents go away”) and is appropri-
ate for youth ages 8 to 19years. Respondents indicate how
often they experience each item using a 4-point Likert scale
ranging from never true (0) to very true (3). The MASC
total score was calculated as the mean response across all
39 items. In two separate school-based population studies
conducted by March and colleagues (1997), the MASC
demonstrated good test–retest reliability (i.e. ICC = 0.79-
0.93) and evidence to support the validity of the MASC in
the detection of child anxiety was demonstrated by showing
its significant correlation (i.e., r = 0.62 p < 0.01) with the
RCMAS. The MASC demonstrated high reliability in this
sample (α = 0.89).
Poverty A parent or guardian provided information regard-
ing their current annual household income. The income-
to-needs ratio was calculated by dividing total household
income by the 2012 U.S. census-defined poverty line for a
family of their individual size (based on the year data were
collected). A lower value than one indicated a family was
living below the poverty line. This ratio was used to cre-
ate a dichotomous poverty variable, such that families were
grouped into those who were and were not living in poverty.
Parent-reported SES data were available on a smaller pro-
portion of the sample (n = 147).
Maternal Education A parent or guardian provided infor-
mation regarding highest level of education achieved by
the participants mother. Response options were rated on
a 10-point scale from “8
th
grade or less” (1) to “graduate/
professional school” (10). Maternal education was normally
distributed in the study sample, with approximately 25% of
mothers reporting a high school education or less.
Behavioral Task
Distress Tolerance To assess distress tolerance, we used
thePaced Auditory Serial Addition Task (PASAT), a per-
formance-based computer task that is designed to measure
attentional and behavioral persistence on a difficult task
that creates frustration and emotional distress (Daughters
etal., 2005; Lejuez etal., 2003). Participants view a series
of numbers sequentially flashed on a computer screen, and
are instructed to add each new number to the previously
presented number (not the running total) before the subse-
quent number appears on the screen. The task consists of
three blocks. The first block lasted 3min, the second block
lasted 5min, and the third block lasted 7min. In block 1,
the latency between stimuli was three seconds (60 trials), in
block 2, two seconds (72 trials), and in block three, latency
was one second (92 trials). Shorter latencies between stimuli
increase the difficulty of the task on each subsequent block.
Participants were told that they could terminate the task at
any time once they reached the final block of the task. Par-
ticipants were unaware of the task length. Distress tolerance
was measured continuously as the latency (in seconds) to
termination in the third block of the task, consistent with
prior research (Daughters etal., 2005; Lejuez etal., 2003).
A binary distress tolerance variable was also created to com-
pare participants who did and did not elect to quit the task.
Procedure
Participants were recruited, consented and assented to com-
plete a battery of task and psychological assessments. At
Time 1 (T1), participants provided demographic information
and completed measures of violence exposure and psycho-
pathology. Each participant also completed the PASAT and
time-to-quit was recorded. At each of the sites, adolescents
completed the PASAT in a small assessment room with the
experimenter. The PASAT was programmed in E-prime to
ensure that the administration was identical for all partici-
pants. The experimenter used a scoring sheet that displayed
Research on Child and Adolescent Psychopathology
1 3
the correct answer for each trial and scored the task as the
participant completed it. The task was also audio-recorded
to allow for scoring to be checked if the experimenter missed
a trial or was unsure about a particular response. This pro-
cedure ensured that there were no site variations in task
administration, and indeed no significant effect of site was
observed on task performance for the three site locations
(F(2, 281) = 0.16, p = 0.852).
At Time 2 (T2), four months following T1
(M = 120.28days), participants (n = 237) repeated the psy-
chopathology assessments in an online format. We selected
this period of time to reduce attrition as much as possible.
Furthermore, as almost half of our sample were high school
seniors at T1, it was important to conduct our follow up
assessment before any participants left their home environ-
ments to begin college or full-time employment, experiences
that would introduce a range of other risk factors for psycho-
pathology and alcohol abuse.
Subjects were compensated $35 for participating in the
T1 study visit, and $25 for completing the T2 online assess-
ment. Participants in the research described in this paper
were treated in accordance with APA ethical standards, and
the study was approved by the Institutional Review Boards
at University of Washington, Boston Childrens Hospital,
and University of Pittsburgh.
Statistical Analyses
We used a combination of linear and logistic regression to
examine each pathway of our indirect effect models (Baron
& Kenny, 1986; Mackinnon etal., 2007). First, we exam-
ined associations of violence exposure with psychopa-
thology at T1 and at T2, controlling for T1 levels. Next,
we determined whether violence exposure was associated
with distress tolerance, the potential mediator, using linear
regression to examine time to quit on the PASAT and using
logistic regression to examine the log-odds of quitting the
PASAT. Then, we examined associations between distress
tolerance and psychopathology at T1 and at T2, controlling
for T1 psychopathology. Finally, we estimated a mediation
model to determine whether there was an indirect effect of
violence exposure on change in psychopathology from T1
to T2 through lower distress tolerance. We evaluated preci-
sion in this estimate using a bootstrapping approach that
provides 95% confidence intervals for indirect effects in
statistical mediation estimated from 1000 resamples of the
data (Preacher & Hayes, 2008). All regression and media-
tion analyses were conducted in MPlus, Version 8 (Muthén
& Muthén, 2017), using full-information maximum likeli-
hood (FIML) estimation to handle missing data (Schafer &
Graham, 2002).
Following analysis of our three main models, we con-
ducted two sensitivity analyses to evaluate whether findings
remained significant after controlling forSES. We examined
whether associations between violence and T1 psychopa-
thology, change in psychopathology from T1 to T2, distress
tolerance, and indirect effects of violence on change in psy-
chopathology through distress tolerance, remained signifi-
cant after controlling for SES. Our first sensitivity analy-
sis controlled for poverty. Due to the high level of missing
data on family income (n = 140 subjects did not provide
this information), reducing our sample size considerably,
we conducted a second sensitivity analysis examining the
effects of violence over and above maternal education (95%
item response rate).
In all models, predictors were mean-centered to facilitate
the interpretation of model coefficients. We controlled for
T1 psychopathology in all longitudinal models to estimate
predictor effects on change from T1 to T2. Sex was included
as a covariate in all models.
Results
Descriptive Statistics
Table1 provides means and standard deviations of all vari-
ables. Table2 depicts bivariate correlations among all vari-
ables. Means and standard deviations of CTQ and SAVE
subscales that comprise our cumulative violence measure
are provided in TableS1 within the Supplemental Materials.
Violence Exposure andPsychopathology
First, we examined the association between violence expo-
sure and each measure of psychopathology at T1. Higher
scores on the composite measure of violence exposure were
positively associated with higher levels of depression (β = 0.45,
p < 0.001, 95% CI [0.33, 0.58]), anxiety (β = 0.16, p = 0.004,
95% CI [0.05, 0.26]), and alcohol abuse (β = 0.31, p = 0.001,
95% CI [0.13, 0.49]) as well as greater odds of abusing alcohol
(OR = 1.42, p = 0.004, 95% CI [1.16, 1.74]), after adjusting
for sex. Next, we investigated the relationship between vio-
lence exposure and change in psychopathology over time. We
found no significant associations between violence exposure
and change in depression, anxiety, alcohol abuse, or likelihood
of abusing alcohol from T1 to T2, indicating that violence
exposure was associated with higher overall levels of psycho-
pathology at T1 but not change in psychopathology over the
relatively short time scale of the present study.
Research on Child and Adolescent Psychopathology
1 3
Violence Exposure andDistress Tolerance
Greater violence exposure was associated with lower dis-
tress tolerance evidenced by a faster time to quit (β = -0.21
p = 0.009, 95% CI [-0.37, -0.05]) and greater odds of quitting
(OR = 1.23, p = 0.022, 95% CI [1.05, 1.44]) on the PASAT.
Distress Tolerance andPsychopathology
Lower levels of distress tolerance were not associated with
concurrent symptoms of depression, anxiety, alcohol abuse,
or likelihood of abusing alcohol at T1. However, when we
examined the effects of distress tolerance on psychopa-
thology over time we found that a one standard-deviation
decrease in time on the PASAT (i.e. lower distress toler-
ance) was associated with a 37.0% increase in the odds of
abusing alcohol at T2 (OR = 0.63 p = 0.021, 95% CI [0.04,
0.94]), controlling for T1 alcohol abuse. The association
with increased alcohol abuse symptoms did not reach statis-
tical significance at T2 (β = -0.11 p = 0.064, 95% CI [-0.23,
0.01]), controlling for T1 alcohol abuse. Distress tolerance
was not associated with an increase in depression or anxiety
symptoms from T1 to T2.
Mediation Analysis
Given significant associations between violence exposure
and distress tolerance with changes in alcohol abuse, we
investigated whether lower distress tolerance mediated the
association between violence exposure and increased alco-
hol abuse using a non-parametric bootstrapping test of
mediation that derives confidence intervals from indirect
effects estimated across 1000 resamples of data (Preacher
& Hayes, 2008). Modern approaches to statistical mediation
do notrequire a significant association in the direct path (i.e.,
violence exposure to changes in alcohol abuse symptoms)
toexamine the significance of the indirect effect (Hayes,
2013; MacKinnon etal., 2007).
Lower distress tolerance during the PASAT mediated the
association between violence exposure and increased abuse
of alcohol from T1 to T2, β = 0.02, 95% CI [0.01, 0.06].
Lower distress tolerance during the PASAT also mediated
the association between violence exposure and greater like-
lihood of alcohol abuse from T1 to T2, OR = 0.03, 95% CI
[0.01, 0.07].
Sensitivity Analyses
Poverty. To determine whether violence exposure was asso-
ciated with distress tolerance and psychopathology over and
above the effects ofSES, we conducted a sensitivity analysis
in which we adjusted for poverty. Adjusting for poverty had
little impact on the associations of violence exposure with
distress tolerance or psychopathology or of distress toler-
ance with changes in alcohol abuse. In the small subsample
that provided information on income (n = 147), the effects
of the associations between violence exposure and distress
tolerance measured in seconds to quit and likelihood of
quitting the task remained similar but shifted to trend-level
significance (p = 0.080-0.100), and the association between
distress tolerance and increased alcohol abuse at T2 reached
statistical significance (p = 0.045). All other associations that
were significant without inclusion of poverty as a covariate
remained statistically significant.
Maternal Education. We additionally conducted a sensi-
tivity analysis in which we adjusted for maternal education,
a second indicator of SES. Adjusting for maternal education
had no impact on the significant associations of violence
Table 1 Means and standard deviations of violence exposure, distress
tolerance, psychopathology symptoms, and SES
Violence = Total exposure to interpersonal violence, calculated by
summing the standardized composites of the Childhood Trauma
Questionnaire Total Child Abuse scale and the Screen for Adoles-
cent Violence Exposure Traumatic Violence scale; PASAT Quit
Total = distress tolerance measured as time in seconds to quit the third
block of the PASAT task; PASAT Quit Bin = the binary distress tol-
erance measure indicating whether a participant elected to quit the
PASAT task; T1 AUDIT Total = Alcohol Use Disorders Identifica-
tion Test total mean score at Time 1; T2 AUDIT Total = Alcohol Use
Disorders Identification Test total mean score at Time 2; T1 AUDIT
Bin = Alcohol Use Disorders Identification Test binary score indicat-
ing whether a participant did or did not endorse alcohol problems at
Time 1; T2 AUDIT Bin = Alcohol Use Disorders Identification Test
binary score indicating whether a participant did or did not endorse
alcohol problems at Time 2; T1 CDI Total = Childrens Depression
Inventory total score at Time 1; T2 CDI Total = Childrens Depres-
sion Inventory total score at Time 2; T1 MASC Total = Multidimen-
sional Anxiety Scale for Children mean symptom score at Time 1; T2
MASC Total = Multidimensional Anxiety Scale for Children mean
symptom score at Time 2
Measure Mean (SD)
1. Violence 0.00 1.61
2. PASAT Quit Total 104.56 46.32
3. PASAT Quit Bin 0.37 0.49
4. T1 AUDIT Total 1.23 0.41
5. T2 AUDIT Total 1.19 0.30
6. T1 AUDIT Bin 0.50 0.50
7. T2 AUDIT Bin 0.49 0.50
8. T1 CDI Total 10.40 6.89
9. T2 CDI Total 9.87 7.37
10. T1 MASC Total 1.99 0.40
11. T2 MASC Total 2.09 0.41
12. Poverty 0.10 0.30
13. Maternal Education 6.71 2.78
Research on Child and Adolescent Psychopathology
1 3
exposure with distress tolerance or psychopathology, dis-
tress tolerance with changes in alcohol abuse, or mediation
analyses.
Discussion
Consistentevidence suggests that violence exposure in
childhood is associated with the onset and persistence of psy-
chopathology, including substance abuse, anxiety, and depres-
sion (Kessler etal., 2005; Keyes etal., 2012; Klitzman &
Freudenberg, 2003; McLaughlin etal., 2012; Molnar etal.,
2001; Ward etal., 2001). Although disruptions in emotion
regulation are frequently posited to be a central mechanism
linking violence exposure with multiple forms of psycho-
pathology (Heleniak etal., 2015; McLaughlin & Lambert,
2017), we are unaware of previous studies that have examined
distress tolerance as a potential transdiagnostic mechanism
linking violence exposure with heightened risk for psychopa-
thology during adolescence. We provide novel evidence from
a longitudinal community-based study indicating that expo-
sure to interpersonal violence is associated with diminished
ability to tolerate distress in order to persist in goal-related
behavior in adolescence. Longitudinal analyses revealed that
distress tolerance was associated with a specific pattern of
risk for psychopathology, such that low distress tolerance was
associated with increased likelihood of problematic alcohol
use over time, and mediated the association between violence
exposure severityand problematic alcohol use. However, low
distress tolerance was not associated with concurrent or later
symptoms of anxiety and depression. These findings suggest
that distress tolerance is shaped by experiences of threat, spe-
cifically exposure to interpersonal violence, and may play a
specific role in the development of problematic alcohol use
in adolescence.
Consistent with our hypotheses and prior studies on child-
hood violence exposure (Lansford etal., 2002; McLaughlin
etal., 2012), we found significant moderate associations
between the degree ofexposure to interpersonal violence
and concurrent substance use, anxiety and depression symp-
toms. In the longitudinal analyses, we were additionally able
to examine violence exposure and increased symptoms of
psychopathology across a four month period of time. In con-
trast with our baseline results, we found that although the
severity ofviolence exposure was associated with overall
initial level of psychopathology, it did not predict changes
in alcohol abuse or internalizing symptoms over time. This
finding may seem surprising because adolescence is a period
of heightened vulnerability for the first onset of these men-
tal health problems. But prior work also suggests that vio-
lence exposure is associated with earlier age of first onset of
symptoms (Briggs-Gowan etal., 2010; Kessler etal., 2007;
Table 2 Correlations of violence exposure, distress tolerance, and psychopathology symptoms
Violence = Total exposure to interpersonal violence, calculated by summing the standardized composites of the Childhood Trauma Question-
naire Total Child Abuse scale and the Screen for Adolescent Violence Exposure Traumatic Violence scale; PASAT Quit Total = distress toler-
ance measured as time in seconds to quit the third block of the PASAT task; PASAT Quit Bin = the binary distress tolerance measure indicating
whether a participant elected to quit the PASAT task; T1 AUDIT Total = Alcohol Use Disorders Identification Test total mean score at Time 1;
T2 AUDIT Total = Alcohol Use Disorders Identification Test total mean score at Time 2; T1 AUDIT Bin = Alcohol Use Disorders Identification
Test binary score indicating whether a participant did or did not endorse alcohol problems at Time 1; T2 AUDIT Bin = Alcohol Use Disorders
Identification Test binary score indicating whether a participant did or did not endorse alcohol problems at Time 2; T1 CDI Total = Childrens
Depression Inventory total score at Time 1; T2 CDI Total = Children’s Depression Inventory total score at Time 2; T1 MASC Total = Multidi-
mensional Anxiety Scale for Children mean symptom score at Time 1; T2 MASC Total = Multidimensional Anxiety Scale for Children mean
symptom score at Time 2
*
p < 0.05, **p < 0.01
1 2 3 4 5 6 7 8 9 10 11 12 13
1. Violence __
2. PASAT Quit Total -0.21** __
3. PASAT Quit Bin 0.16** -0.93** __
4. T1 AUDIT Total 0.31** -0.05 0.02 __
5. T2 AUDIT Total 0.18** -0.08 0.07 0.65** __
6. T1 AUDIT Bin 0.22** 0.01 0.01 0.67** 0.57** __
7. T2 AUDIT Bin 0.19** -0.09 0.10 0.55** 0.73** 0.67** __
8. T1 CDI Total 0.45** -0.06 0.02 0.12 0.18** 0.13* 0.17** __
9. T2 CDI Total 0.38** -0.04 0.03 0.11 0.16* 0.10 0.15* 0.73** __
10. T1 MASC Total 0.15** 0.06 -0.08 0.03 -0.09 -0.03 -0.12 0.39** 0.31** __
11. T2 MASC Total 0.06 0.03 -0.02 0.01 0.01 -0.05 -0.04 0.33** 0.43** 0.60** __
12. Poverty 0.01 -0.14 .16* -0.14 -0.17* -0.17* -.18* -0.09 0.00 -0.10 -0.09 __
13. Maternal Education -0.11 0.09 -0.07 0.00 0.00 0.09 0.05 -0.04 -0.06 0.10 0.02 -0.40** __
Research on Child and Adolescent Psychopathology
1 3
Mandelli etal., 2011), meaning that the effects of violence
on risk for psychopathology were already present by the
time of our baseline assessment in later adolescence. It is
also possible that the four-month span between our baseline
and follow up assessments did not grant sufficient time to
capture meaningful changes in psychopathology related to
prior experiences of violence.
In support of our primary hypothesis, we found that
greaterexposure to interpersonal violence was associ-
ated with lower ability to persist in the face of distress.
Diminished ability to withstand uncomfortable emotional
states among violence-exposed adolescents could reflect
an adaptation to early experiences ofthreat. Heightened
attention and sensitivity to negative emotional cues are
adaptive responsesto being raised in a dangerousenvi-
ronment. This heightened salience of negative emotions
may become overwhelming for children who have experi-
enced violence by the time they reach adolescence, when
it is developmentally normative to experience negative
emotions more often and more strongly than in childhood
(Larson & Lampman-Petraitis, 1989; Larson etal., 2002).
As a result, adolescents who have experienced violencemay
be more likely to engage in escape behaviors to modulate
distress and reduce their persistence at difficult and frus-
trating tasksthan adolescents who have not encountered
violence. Furthermore, adolescents who have experienced
violence may have learned that it is safer to leave distress-
ing situations immediately before evaluating whether the
potential threat signaled by distress was real or imagined.
As a result, violence-exposed youth have difficulty dis-
criminating between cues of threat and safety (McLaughlin
etal., 2016; Pollak etal., 2000; Pollak & Sinha, 2002).
Although it may be safer for children to immediately escape
distressing activities in dangerous environments, it may
result in fewer opportunities to practice persisting through
difficult tasks that are challenging but present no threat to
personal safety. Although we do not have information spe-
cifically on the chronicity of violence exposure within our
sample(i.e., when in development these experiences started
and ended), we would expect there to be a wide distribution
rangingfrom single episodes to years-long abuse experi-
ences. Indeed, youth in our study endorsed a range of violent
experiences from discrete attacks within their communities
to subtypes of abuse that tend to be more chronic such as
physical abuse. If lower distress tolerance emerges from a
pattern of learned safety seeking behavior following vio-
lence, we would expect chronicity of violence to strengthen
this relationship over time. On the other hand, exposure to
a few recent and discrete instances of violence could have
a weaker effect on childrens behavior, and may explain our
small effect sizes. Indeed, larger effects on distress toler-
ance have been observed among adults with moderate to
severe histories of child abuse (Gratz etal., 2007)and here
we observe that increased severity of violence exposure was
associated with worse distress tolerance. Together with find-
ings from adult studies that also report associations between
violence exposure and distress tolerance (Gratz etal., 2007;
Vujanovic etal., 2011), our pattern of results raises ques-
tions about the conceptualization of distress tolerance as a
stable trait insensitive to environmental input.
If violence exposure in childhood makes it more diffi-
cultto tolerate negative emotional states, low distress tol-
erance represents one plausible pathway linking violence
exposure with increased symptoms of psychopathology.
Indeed, we found that low distress tolerance was associated
with a small but significantly increased likelihood of abus-
ing alcohol over several months. These findings suggest that
low distress tolerance may represent a vulnerability factor
for the development of alcohol use problems during a time
when most adolescents are first experimenting with alcohol
(Johnston etal., 2016). This is concerning because alco-
hol abuse in adolescence is associated with a wide range
of deleterious behavioral, academic, social, and health con-
sequences (Bonomo etal., 2001; Donovan & Jessor, 1985;
Meropol etal., 1995; Valois etal., 1999) including alcohol
and substance abuse in adulthood (Englund etal., 2008).
Our findings are consistent with the large body of literature
demonstrating that low distress tolerance is concurrently
associated with substance problems in adults (Buckner
etal., 2007; Gorka etal., 2012; Marshall-Berenz etal., 2011;
Simons & Gaher, 2005). We extend prior work in this area
by demonstrating that low distress tolerance is associated
with increased engagement in problematic use of alco-
hol during adolescence. Of course, our finding should be
considered in the context of a large body of research that
has identified other potent risk and protective factors for
alcohol problems in adolescence. For example, belonging
to a religious community and parental monitoring are key
environmental factors that are known to buffer teens from
initiating and maintaining alcohol abuse by restricting ado-
lescent access to alcohol (Brown etal., 2001; Carroll etal.,
2016). On the other hand, parental alcohol use is likely to be
associated with both child maltreatment and heightened risk
for adolescent alcohol problems (Lee etal., 2014). Under-
standing the complex interplay of these and other risk and
protective factors for adolescent alcohol use problems will
not be possible until we have developed a better understand-
ing of behavioral risk factors, such asdistress tolerance, for
alcohol problems. As adolescents age and navigatethe world
independently, low distress tolerance may be one factor that
contributes tohigher risk of drinking problems once access
to alcohol is unrestricted in early adulthood. Overall, our
findings underscore the importance of understanding risks
associated with low distress tolerance in adolescence, and
determining whether early interventions that target distress
tolerance specifically before the age of peak vulnerability
Research on Child and Adolescent Psychopathology
1 3
for alcohol problems might be effective at preventing prob-
lematic use.
In contrast, we found that low distress tolerance in ado-
lescence was not associated with current levels or changes
in anxiety or depression symptoms. These findings are con-
sistent with the only prior study we are aware of that has
examined associations between distress tolerance, inter-
nalizing, and externalizing psychopathology over time in
a sample of children and early adolescents. Cummings and
colleagues (2013) reported that although low distress tol-
erance predicted internalizing symptoms in children age
9–13, it was not associated with internalizing symptoms by
middle adolescence or growth in internalizing symptoms
across middle adolescence. In contrast, low distress toler-
ance did predict growth in externalizing symptoms over this
time period. Together, these findings and ours suggest that
low distress tolerance is not a transdiagnostic risk factor in
adolescence but instead a specific vulnerability for disorders
characterized by low behavioral regulation, such as alcohol
abuse. Given mixed findings on the association between
distress tolerance and anxiety and depression symptoms in
adolescent and adult populations (Leyro etal., 2010), an
important step for future research will be elucidating the
stability of this relationship across the lifespan. While rates
of alcohol increase from early to late adolescence, evidence
suggests that internalizing symptoms may peak by early ado-
lescence, with depression symptoms remaining stable and
anxiety symptoms actually declining by middle-adolescence
(McLaughlin & King, 2015). Therefore, it may be impor-
tant for future research to examine the association between
distress tolerance and internalizing symptoms earlier in
adolescence.
Overall, our study suggests that low distress tolerance
represents a plausible mechanism underlying the association
between violence exposure and problematic substance use
during adolescence. Indeed, mediation analyses revealed a
small but significant indirect effect of interpersonal violence
exposure on later problematic alcohol use through low dis-
tress tolerance. This builds on prior work identifying other
aspects of emotion regulation, such as emotional reactivity
and rumination, as mechanisms linking violence exposure
with internalizing psychopathology (Heleniak etal.,2015).
Here, we demonstrate that behavioral responses to distress-
ing emotional experiences vary as a function of the degree
ofchildhood exposure to violence, and are associated with
a small but significant elevations inrisk for increased prob-
lematic alcohol use during adolescence. These findings
suggest the need for future research to examine distress
tolerance across development as a construct that is experi-
ence and state dependent, rather than an immutable trait.
Extensive evidence from treatment studies in children and
adults supports this characterization of distress tolerance as
a skill that can be improved. Indeed, findings from this study
suggest that improving distress tolerance skills should be a
specific treatment target for adolescents exposed to inter-
personal violence. Interventions such as Dialectical Behav-
ior Therapy (DBT; Linehan, 1993) and mindfulness-based
substance use disorder treatments (Zgierska etal., 2009)
that teach tools for remaining present, resisting urges and
tolerating distress (e.g. mindfulness and distress tolerance
skills), may be particularly effective at reducing risk for
substance use disorders among adolescents exposed to vio-
lence. Preventive interventions that incorporate these skills
to address distress tolerance may be effective for youths who
have experienced violence.
Several study limitations should be acknowledged. First,
we did not assess ADHD symptoms. Given evidence for a
relationship between low distress tolerance and attentional
control (Bardeen etal., 2015), it would be useful to control
for ADHD symptoms in models predicting psychopathol-
ogy symptoms. Second, we used a single behavioral task to
assess distress tolerance. Although there is a great deal of
literature supporting the validity of the PASAT in measur-
ing distress tolerance (for review, see Tombaugh, 2006), it
is possible that the adolescents who exhibited low distress
tolerance on this task may have been able to endure their
distress for a longer period of time had it been more relevant
to their personal interests and goals. Although our task is
the same as those used in prior work on distress tolerance,
future research should not only include self-report measures
of more trait-like general distress tolerance but should also
consider utilizing behavioral tasks with a variety of cogni-
tive (e.g. verbal rather than mathematical) and social goals
to establish whether distress tolerance varies by context
and the specificity of distress tolerance in these contexts
to psychopathology. Third, we selected the AUDIT as our
measure of alcohol abuse because of its excellent reliability
and validity and wide use as a screening tool for high-risk
drinking among a broad range of samples (Saunders etal.,
1993). However, the total score of this measure is weaker
at detecting binge drinking, a common use pattern among
adolescents (Cortes-Tomas etal., 2017). We addressed the
relative weakness of the audit total frequency score by calcu-
lating binary problematic alcohol use scores to better capture
sporadic but problematic use among our sample. Fourth, we
utilized self-report measures of alcohol abuse and depression
and anxiety symptomatology rather than administering struc-
tured diagnostic interviews of psychopathology. Although
administration of a structured interview to establish diag-
noses would represent a methodological improvement, the
validity of the youth report measures used in this study are
well-established (Kovacs, 1992; March etal., 1997; Muris
etal., 2002; Reynolds, 1994; Saunders etal., 1993; Saylor
etal., 1984), and the use of youth rather than parent report
is advantageous when assessing substance use and internal-
izing symptoms (Cantwell etal., 1997). Fifth, our mediation
Research on Child and Adolescent Psychopathology
1 3
analysis was modeled using two rather than three timepoints.
Although childhood experiencesof violence necessarily occurred
prior to the study assessments, both prior violenceexposure
and distress tolerance were measured at the same timepoint.
Replication of these findings in samples with multiple longi-
tudinal assessments is an important goal for future research.
Sixth, the focus of this paper was to examine distress toler-
ance as a behavioral phenotype linking threat-related adver-
sity with concurrent and subsequent psychopathology. Given
this focus, we adjusted for SES (i.e. poverty and maternal
education) in addition to sex. Of course, there are many other
co-morbid risks for psychopathology and alcohol abuse such
as genetic (parental psychopathology), cognitive (expectan-
cies and motivations), cultural (e.g. religious beliefs), and
environmental (e.g. parental monitoring, peer behavior) fac-
tors that were outside the focus of this study and that we did
not control for (because they were not assessed in our sam-
ple), which may limit generalizability of our results. While
such analyses would surely provide a more complex picture
of the sequential pathways to these mental health problems,
such analyses are beyond the scope of this paper, which was
to examine distress tolerance as an understudied potential
mechanism linking childhood violence exposure to ado-
lescent mental health problems. Finally, we conducted our
follow up assessments four months after the initial assess-
ment. It is possible that a longer follow-up period may have
revealed more meaningful associations as greater change in
our variables of interest might have been detected. However,
selection of a relatively short follow-up period allowed us
the opportunity to re-assess our sample before the significant
proportion of high school seniors in our sample left for col-
lege, increasing risk of attrition and introducing new risks for
alcohol and internalizing symptoms. Furthermore, increasing
evidence suggests meaningful within-person variability in
symptoms of anxiety and depression (Jenness etal., 2019),
and in alcohol use (Cho etal., 2001) among individuals over
intervals of a similar length.
Exposure to interpersonal violence is associated with
reduced distress tolerance during adolescence using a behav-
ioral measure of persistence in the face of distress. Low dis-
tress tolerance, in turn, was prospectively associated with
increases in problematic alcohol use, but not internalizing
psychopathology, over several months and mediated the link
between violence exposure and increases in alcohol abuse
symptoms. Although future research is needed to further
disentangle how other established risks for alcohol problems
may influence this pathway, our findings highlight the poten-
tial role of distress tolerance as a risk factor for substance
use problems specifically shaped by early experiences of
threat-related adversity. Interventions that target distress
tolerance may be useful in reducing risk of substance use in
violence-exposed youth.
Supplementary Information The online version contains supplemen-
tary material available at https:// doi. org/ 10. 1007/ s10802- 021- 00805-0.
Funding This research was supported by a Doris Duke Fellowship
for the Promotion of Child Wellbeing to Charlotte Heleniak, by a
Young Scholars Award from the Klaus J. Jacobs Foundation to Katie
A. McLaughlin, Kevin M. King, and Kathryn C. Monahan, a grant
from the National Institute of Child Health and Human Development
to Maya L. Rosen (F32-HD089514), and by grants from the National
Institute of Mental Health to Charlotte Heleniak (F31-MH108245),
Hilary K. Lambert (F31-MH116559), and Katie A. McLaughlin
(R01-MH103291; R01-MH106482).
Compliance with Ethical Standard
Conflicts of Interest The authors declare that they have no conflicts
of interest.
References
Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hope-
lessness depression: A theory-based subtype of depres-
sion. Psychological Review, 96(2), 358–372. https:// doi.
org/ 10. 1037/ 0033- 295X. 96.2. 358
Adrian, M., Jenness, J. L., Kuehn, K. S., Smith, M. R., & McLaughlin,
K. A. (2019). Emotion regulation processes linking peer vic-
timization to anxiety and depression symptoms in adolescence.
Development and Psychopathology, 31(3), 999–1009. https:// doi.
org/ 10. 1017/ S0954 57941 90005 43
Allgaier, A. K., Frühe, B., Pietsch, K., Saravo, B., Baethmann, M., &
Schulte-Körne, G (2012). Is the Childrens Depression Inven-
tory Short version a valid screening tool in pediatric care? A
comparison to its full-length version. Journal of psychosomatic
research, 73(5), 369–374.
Auerbach, R. P., Ho, M.-H.R., & Kim, J. C. (2014). Identifying Cogni-
tive and Interpersonal Predictors of Adolescent Depression. Jour-
nal of Abnormal Child Psychology, 42(6), 913–924. https:// doi.
org/ 10. 1007/ s10802- 013- 9845-6
Bardeen, J. R., Tull, M. T., Dixon-Gordon, K. L., Stevens, E. N., &
Gratz, K. L. (2015). Attentional Control as a Moderator of the
Relationship Between Difficulties Accessing Effective Emotion
Regulation Strategies and Distress Tolerance. Journal of Psycho-
pathology and Behavioral Assessment, 37(1), 79–84. https:// doi.
org/ 10. 1007/ s10862- 014- 9433-2
Barlow, D. H., Sauer-Zavala, S., Carl, J. R., Bullis, J. R., & Ellard, K.
K. (2014). The nature, diagnosis, and treatment of neuroticism:
Back to the future. Clinical Psychological Science, 2(3), 344–365.
Barnes, G. M., Welte, J.W., Hoffman, J.H., & Dintcheff, B.A. (2005).
Shared predictors of youthful gambling, substance use, and delin-
quency. Psychology of Addictive Behaviors, 19(2), 165–174.
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator vari-
able distinction in social psychological research: Conceptual,
strategic, and statistical considerations. Journal of Personality
and Social Psychology, 51(6), 1173.
Beardslee, W. R., Versage, E. M., & Gladstone, T. R. (1998). Children of
affectively ill parents: A review of the past 10 years. Journal of the
American Academy of Child and Adolescent Psychiatry, 37(11),
1134–1141. https:// doi. org/ 10. 1097/ 00004 583- 19981 1000- 00012
Beck, A. T., Epstein, N., & Harrison, R. (1983). Cognitions, attitudes
and personality dimensions in depression. British Journal of
Cognitive Psychotherapy, 1(1), 1–16.
Research on Child and Adolescent Psychopathology
1 3
Bernstein, A., Trafton, J., Ilgen, M., & Zvolensky, M. J. (2008). An
evaluation of the role of smoking context on a biobehavioral
index of distress tolerance. Addictive Behaviors, 33(11), 1409–
1415. https:// doi. org/ 10. 1016/j. addbeh. 2008. 06. 003
Bernstein, D. P., Ahluvalia, T., Pogge, D., & Handelsman, L. (1997).
Validity of the childhood trauma questionnaire in an adoles-
cent psychiatric population. Journal of the American Academy
of Child & Adolescent Psychiatry, 36(3), 340–348. https:// doi.
org/ 10. 1097/ 00004 583- 19970 3000- 00012
Bernstein, D. P., Fink, L., Handelsman, L., Foote, J., Lovejoy, M.,
Wenzel, K., Sapareto, E., & Ruggiero, J. (1994). Initial reliability
and validity of a new retrospective measure of child abuse and
neglect. The American Journal of Psychiatry. http:// psycn et. apa.
org/ psyci nfo/ 1995- 00092- 001
Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D.,
Ahluvalia, T., Stokes, J., Handelsman, L., Medrano, M., Des-
mond, D., etal. (2003). Development and validation of a brief
screening version of the Childhood Trauma Questionnaire. Child
Abuse & Neglect, 27(2), 169–190.
Boelen, P. A., & Reijntjes, A. (2009). Intolerance of uncertainty and
social anxiety. Journal of Anxiety Disorders, 23(1), 130–135.
https:// doi. org/ 10. 1016/j. janxd is. 2008. 04. 007
Bohn, M. J., Babor, T. F., & Kranzler, H. R. (1995). The Alcohol
Use Disorders Identification Test (AUDIT): Validation of a
screening instrument for use in medical settings. Journal of
Studies on Alcohol, 56(4), 423–432. https:// doi. org/ 10. 15288/
jsa. 1995. 56. 423
Bonn-Miller, M. O., Zvolensky, M. J., & Bernstein, A. (2009). Dis-
comfort intolerance: Evaluation of incremental validity for panic-
relevant symptoms using 10% carbon dioxide-enriched air provo-
cation. Journal of Anxiety Disorders, 23(2), 197–203. https:// doi.
org/ 10. 1016/j. janxd is. 2008. 06. 007
Bonomo, Y., Coffey, C., Wolfe, R., Lynskey, M., Bowes, G., &
Patton, G. (2001). Adverse outcomes of alcohol use in ado-
lescents. Addiction (Abingdon, England), 96(10), 1485–1496.
https:// doi. org/ 10. 1080/ 09652 14012 00752 15
Briggs-Gowan, M. J., Carter, A. S., Clark, R., Augustyn, M., McCarthy,
K. J., & Ford, J. D. (2010). Exposure to potentially traumatic
events in early childhood: Differential links to emergent psycho-
pathology. Journal of Child Psychology and Psychiatry, 51(10),
1132–1140. https:// doi. org/ 10. 1111/j. 1469- 7610. 2010. 02256.x
Brown, T. L., Parks, G. S., Zimmerman, R. S., & Phillips, C. M.
(2001). The role of religion in predicting adolescent alcohol
use and problem drinking. Journal of Studies on Alcohol, 62(5),
696–705.
Buckner, J. D., Keough, M. E., & Schmidt, N. B. (2007). Problematic Alco-
hol and Cannabis Use among Young Adults: The Roles of Depres-
sion and Discomfort and Distress Tolerance. Addictive Behaviors,
32(9), 1957–1963. https:// doi. org/ 10. 1016/j. addbeh. 2006. 12. 019
Cantwell, D. P., Lewinsohn, P. M., Rohde, P., & Seeley, J. R. (1997).
Correspondence between adolescent report and parent report of
psychiatric diagnostic data. Journal of the American Academy
of Child and Adolescent Psychiatry, 36(5), 610–619. https:// doi.
org/ 10. 1097/ 00004 583- 19970 5000- 00011
Carroll, H. A., Heleniak, C., Witkiewitz, K., Lewis, M., Eakins, D.,
Staples, J., ... & Larimer, M. E. (2016). Effects of parental moni-
toring on alcohol use in the US and Sweden: A brief report.
Addictive Behaviors, 63, 89–92.
Cho, Y. I., Johnson, T. P., & Fendrich, M. (2001). Monthly variations
in self-reports of alcohol consumption. Journal of Studies on
Alcohol, 62(2), 268–272.
Cummings, J. R., Bornovalova, M. A., Ojanen, T., Hunt, E., MacPherson,
L., & Lejuez, C. (2013). Time doesn’t change everything: The
longitudinal course of distress tolerance and its relationship with
externalizing and internalizing symptoms during early adoles-
cence. Journal of Abnormal Child Psychology, 41(5), 735–748.
Cyders, M. A., & Smith, G. T. (2008). Emotion-based dispositions to
rash action: positive and negative urgency. Psychological Bul-
letin, 134(6), 807.
Daughters, S. B., Lejuez, C. W., Bornovalova, M. A., Kahler, C. W.,
Strong, D. R., & Brown, R. A. (2005). Distress tolerance as a
predictor of early treatment dropout in a residential substance
abuse treatment facility. Journal of Abnormal Psychology,
114(4), 729–734. https:// doi. org/ 10. 1037/ 0021- 843X. 114.4. 729
Daughters, S. B., Reynolds, E. K., MacPherson, L., Kahler, C. W.,
Danielson, C. K., Zvolensky, M., & Lejuez, C. W. (2009). Dis-
tress tolerance and early adolescent externalizing and internal-
izing symptoms: The moderating role of gender and ethnicity.
Behaviour Research and Therapy, 47(3), 198–205. https:// doi.
org/ 10. 1016/j. brat. 2008. 12. 001
Dodge, K. A., Bates, J. E., & Pettit, G. S. (1990). Mechanisms in the
cycle of violence.Science, 250, 1678–1683.
Donovan, J. E. (2004). Adolescent alcohol initiation: A review of
psychosocial risk factors. Journal of Adolescent Health, 35(6),
529-e7.
Donovan, J. E., & Jessor, R. (1985). Structure of problem behavior in
adolescence and young adulthood. Journal of Consulting and
Clinical Psychology, 53(6), 890–904.
Englund, M. M., Egeland, B., Oliva, E. M., & Collins, W. A. (2008).
Childhood and adolescent predictors of heavy drinking and
alcohol use disorders in early adulthood: A longitudinal devel-
opmental analysis. Addiction, 103, 23–35. https:// doi. org/ 10.
1111/j. 1360- 0443. 2008. 02174.x
Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R., & Hirsch, J. (2006).
Resolving emotional conflict: A role for the rostral anterior cin-
gulate cortex in modulating activity in the amygdala. Neuron,
51(6), 871–882. https:// doi. org/ 10. 1016/j. neuron. 2006. 07. 029
Etkin, A., & Schatzberg, A. F. (2011). Common abnormalities and
disorder-specific compensation during implicit regulation of
emotional processing in generalized anxiety and major depres-
sive disorders. The American Journal of Psychiatry, 168(9),
968–978. https:// doi. org/ 10. 1176/ appi. ajp. 2011. 10091 290
Finkelhor, D., Turner, H. A., Shattuck, A., & Hamby, S. L. (2013).
Violence, crime, and abuse exposure in a national sample of
children and youth: An update. JAMA Pediatrics, 167(7), 614.
https:// doi. org/ 10. 1001/ jamap ediat rics. 2013. 42
Gorka, S. M., Ali, B., & Daughters, S. B. (2012). The Role of Distress
Tolerance in the Relationship between Depressive Symptoms and
Problematic Alcohol Use. Psychology of Addictive Behaviors :
Journal of the Society of Psychologists in Addictive Behaviors,
26(3), 621–626. https:// doi. org/ 10. 1037/ a0026 386
Gratz, K. L., Bornovalova, M. A., Delany-Brumsey, A., Nick, B., &
Lejuez, C. W. (2007). A Laboratory-Based Study of the Rela-
tionship Between Childhood Abuse and Experiential Avoid-
ance Among Inner-City Substance Users: The Role of Emo-
tional Nonacceptance. Behavior Therapy, 38(3), 256–268.
https:// doi. org/ 10. 1016/j. beth. 2006. 08. 006
Guerra, N. G., & Huesmann, L. R. (2004). A cognitive-ecological
model of aggression. Revue internationale de psychologie
sociale, 17, 177–204.
Guerra, N. G., & Slaby, R. G. (1990). Cognitive mediators of aggres-
sion in adolescent offenders: II. Intervention. Developmental
Psychology, 26(2), 269.
Gyurak, A., Gross, J. J., & Etkin, A. (2011). Explicit and implicit emo-
tion regulation: A dual-process framework. Cognition & Emo-
tion, 25(3), 400–412. https:// doi. org/ 10. 1080/ 02699 931. 2010.
544160
Haegerich, T. M., & Tolan, P. H. (2008). Core competencies and the
prevention of adolescent substance use. New Directions for Child
and Adolescent Development,(122), 47–60.
Hastings, T., & Kelley, M. (1997). Development and Validation of
the Screen for Adolescent Violence Exposure (SAVE). Journal
Research on Child and Adolescent Psychopathology
1 3
of Abnormal Child Psychology, 25(6), 511–520. https:// doi.
org/ 10. 1023/A: 10226 41916 705
Hayes, A. F. (2013). Introduction to mediation, moderation, and con-
ditional process analysis: A regression-based approach (2013–
21121-000). Guilford Press.
Heleniak, C., Jenness, J. L., Stoep, A. V., McCauley, E., & McLaughlin,
K. A. (2015). Childhood Maltreatment Exposure and Disruptions
in Emotion Regulation: A Transdiagnostic Pathway to Adoles-
cent Internalizing and Externalizing Psychopathology. Cognitive
Therapy and Research, 40(3), 394–415. https:// doi. org/ 10. 1007/
s10608- 015- 9735-z
Heleniak, C., King, K. M., Monahan, K. C., & McLaughlin, K. A.
(2017). Disruptions in Emotion Regulation as a Mechanism
Linking Community Violence Exposure to Adolescent Internal-
izing Problems. Journal of Research on Adolescence: The Offi-
cial Journal of the Society for Research on Adolescence. https://
doi. org/ 10. 1111/ jora. 12328
Herringa, R. J., Birn, R. M., Ruttle, P. L., Burghy, C. A., Stodola, D. E.,
Davidson, R. J., & Essex, M. J. (2013). Childhood maltreatment
is associated with altered fear circuitry and increased internal-
izing symptoms by late adolescence. Proceedings of the National
Academy of Sciences of the United States of America, 110(47),
19119–19124. https:// doi. org/ 10. 1073/ pnas. 13107 66110
Hopfer, C. J., Crowley, T. J., & Hewitt, J. K. (2003). Review of twin
and adoption studies of adolescent substance use. Journal of the
American Academy of Child & Adolescent Psychiatry, 42(6),
710–719.
Hussong, A. M., Jones, D. J., Stein, G. L., Baucom, D. H., & Boeding,
S. (2011). An internalizing pathway to alcohol use and disorder.
Psychology of Addictive Behaviors, 25(3), 390.
Johnson, S. L., Carver, C. S., & Joormann, J. (2013). Impulsive
responses to emotion as a transdiagnostic vulnerability to inter-
nalizing and externalizing symptoms. Journal of Affective Dis-
orders, 150(3), 872–878.
Johnston, L. D., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E.,
& Miech, R. A. (2016). Monitoring the Future national survey
results on drug use,1975-2015: Volume II, college students and
adults ages 19-55.
Jellinek, M. S., & Snyder, J. B. (1998). Depression and suicide in chil-
dren and adolescents. Pediatrics in Review, 19(8), 255–264.
Joormann, J., & Gotlib, I. H. (2010). Emotion Regulation in Depres-
sion: Relation to Cognitive Inhibition. Cognition & Emotion,
24(2), 281–298. https:// doi. org/ 10. 1080/ 02699 93090 34079 48
Kessler, R. C., Amminger, G. P., Aguilar-Gaxiola, S., Alonso, J., Lee,
S., & Ustun, T. B. (2007). Age of onset of mental disorders: A
review of recent literature. Current Opinion in Psychiatry, 20(4),
359–364. https:// doi. org/ 10. 1097/ YCO. 0b013 e3281 6ebc8c
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R.,
& Walters, E. E. (2005). Lifetime prevalence and age-of-onset
distributions of DSM-IV disorders in the National Comorbid-
ity Survey Replication. Archives of General Psychiatry, 62(6),
593–602. https:// doi. org/ 10. 1001/ archp syc. 62.6. 593
Keyes, K. M., Eaton, N. R., Krueger, R. F., McLaughlin, K. A., Wall,
M. M., Grant, B. F., & Hasin, D. S. (2012). Childhood maltreat-
ment and the structure of common psychiatric disorders. The
British Journal of Psychiatry, 200(2), 107–115. https:// doi. org/
10. 1192/ bjp. bp. 111. 093062
King, K. M., Feil, M. C., & Halvorson, M. A. (2018a). Negative
Urgency Is Correlated With the Use of Reflexive and Disengage-
ment Emotion Regulation Strategies. Clinical Psychological Sci-
ence, 6(6), 822–834. https:// doi. org/ 10. 1177/ 21677 02618 785619
King, K. M., McLaughlin, K. A., Silk, J., & Monahan, K. C. (2018b).
Peer effects on self-regulation in adolescence depend on the
nature and quality of the peer interaction. Development and
Psychopathology, 30(4), 1389–1401. https:// doi. org/ 10. 1017/
S0954 57941 70015 60
Klitzman, S., & Freudenberg, N. (2003). Implications of the world
trade center attack for the public health and health care
infrastructures. American Journal of Public Health, 93(3),
400–406.
Kovacs, M. (1992). Children’s depression inventory: Manual. Multi-
Health Systems.
Lambert, H. K., King, K. M., Monahan, K. C., & McLaughlin, K. A.
(2017). Differential associations of threat and deprivation with
emotion regulation and cognitive control in adolescence. Devel-
opment and Psychopathology, 29(3), 929–940. https:// doi. org/
10. 1017/ S0954 57941 60005 84
Lansford, J. E., Dodge, K. A., Pettit, G. S., Bates, J. E., Crozier, J., &
Kaplow, J. (2002). A 12-year prospective study of the long-term
effects of early child physical maltreatment on psychological,
behavioral, and academic problems in adolescence. Archives of
Pediatrics & Adolescent Medicine, 156(8), 824–830.
Larson, R., & Ham, M. (1992). Stress and “storm and stress” in early
adolescence: The relationship of negative events with dysphoric
affect. Developmental Psychology, 29(1), 130–140. https:// doi.
org/ 10. 1037/ 0012- 1649. 29.1. 130
Larson, R., & Lampman-Petraitis, C. (1989). Daily emotional states as
reported by children and adolescents. Child Development, 60(5),
1250–1260.
Larson, R. W., Moneta, G., Richards, M. H., & Wilson, S. (2002). Con-
tinuity, stability, and change in daily emotional experience across
adolescence. Child Development, 73(4), 1151–1165.
Lee, J. O., Hill, K. G., Guttmannova, K., Hartigan, L. A., Catalano, R.
F., & Hawkins, J. D. (2014). Childhood and Adolescent Predic-
tors of Heavy Episodic Drinking and Alcohol Use Disorder at
Ages 21 and 33: A Domain-Specific Cumulative Risk Model.
Journal of Studies on Alcohol and Drugs, 75(4), 684–694.
https:// doi. org/ 10. 15288/ jsad. 2014. 75. 684
Lejuez, C. W., Kahler, Christopher W., & Brown, R.A. (2003). A
modified computer version of the Paced Auditory Serial Addi-
tion Task (PASAT) as a laboratory-based stressor. The Behavior
Therapist, 26(4), 290–293.
Leyro, T. M., Zvolensky, M. J., & Bernstein, A. (2010). Distress
Tolerance and Psychopathological Symptoms and Disorders:
A Review of the Empirical Literature among Adults. Psycho-
logical Bulletin, 136(4), 576–600. https:// doi. org/ 10. 1037/
a0019 712
Linehan, M. (1993). Cognitive-behavioral Treatment of Borderline
Personality Disorder. Guilford Press.
Lu, W. (2019). Adolescent Depression: National Trends, Risk Fac-
tors, and Healthcare Disparities. American Journal of Health
Behavior, 43(1), 181–194. https:// doi. or g/ 10. 5993/ AJHB. 43.1. 15
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation
Analysis. Annual Review of Psychology, 58, 593. https:// doi. org/
10. 1146/ annur ev. psych. 58. 110405. 085542
MacPherson, L., Reynolds, E. K., Daughters, S. B., Wang, F., Cassidy,
J., Mayes, L. C., & Lejuez, C. W. (2010). Positive and Negative
Reinforcement Underlying Risk Behavior in Early Adolescents.
Prevention Science, 11(3), 331–342. https:// doi. org/ 10. 1007/
s11121- 010- 0172-7
Maisto, S. A., Conigliaro, J., McNeil, M., Kraemer, K., & Kelley, M.
E. (2000). An empirical investigation of the factor structure of
the AUDIT. Psychological Assessment, 12(3), 346–353. https://
doi. org/ 10. 1037/ 1040- 3590. 12.3. 346
Mandelli, L., Carli, V., Roy, A., Serretti, A., & Sarchiapone, M. (2011).
The influence of childhood trauma on the onset and repetition
of suicidal behavior: An investigation in a high risk sample of
male prisoners. Journal of Psychiatric Research, 45(6), 742–747.
https:// doi. org/ 10. 1016/j. jpsyc hires. 2010. 11. 005
March, J. S., Parker, J. D. A., Sullivan, K., Stallings, P., & Conners, C. K.
(1997). The Multidimensional Anxiety Scale for Children (MASC):
Factor Structure, Reliability, and Validity. Journal of the American
Research on Child and Adolescent Psychopathology
1 3
Academy of Child & Adolescent Psychiatry, 36(4), 554–565. https://
doi. org/ 10. 1097/ 00004 583- 19970 4000- 00019
Marshall-Berenz, E. C., Vujanovic, A. A., & MacPherson, L. (2011).
Impulsivity and Alcohol Use Coping Motives in a Trauma-
Exposed Sample: The Mediating Role of Distress Tolerance.
Personality and Individual Differences, 50(5), 588–592. https://
doi. org/ 10. 1016/j. paid. 2010. 11. 033
Marusak, H. A., Martin, K. R., Etkin, A., & Thomason, M. E. (2015).
Childhood trauma exposure disrupts the automatic regulation of
emotional processing. Neuropsychopharmacology: Official Pub-
lication of the American College of Neuropsychopharmacology,
40(5), 1250–1258. https:// doi. org/ 10. 1038/ npp. 2014. 311
McBride, N. M., Barrett, B., Moore, K. A., & Schonfeld, L. (2014).
The Role of Positive Alcohol Expectancies in Underage Binge
Drinking Among College Students. Journal of American Col-
lege Health, 62(6), 370–379. https:// doi. org/ 10. 1080/ 07448 481.
2014. 907297
McCrory, E. J., De Brito, S. A., Kelly, P. A., Bird, G., Sebastian, C.
L., Mechelli, A., Samuel, S., & Viding, E. (2013). Amygdala
activation in maltreated children during pre-attentive emotional
processing. The British Journal of Psychiatry, 202(4), 269–276.
https:// doi. org/ 10. 1192/ bjp. bp. 112. 116624
McCrory, E. J., De Brito, S. A., Sebastian, C. L., Mechelli, A., Bird, G.,
Kelly, P. A., & Viding, E. (2011). Heightened neural reactivity
to threat in child victims of family violence. Current Biology,
21(23), R947–R948. https:// doi. org/ 10. 1016/j. cub. 2011. 10. 015
McHugh, R. K., Reynolds, E. K., Leyro, T. M., & Otto, M. W. (2013).
An examination of the association of distress intolerance and
emotion regulation with avoidance. Cognitive Therapy and
Research, 37(2), 363–367.
McLaughlin, K. A. (2016). Future Directions in Childhood Adver-
sity and Youth Psychopathology. Journal of Clinical Child &
Adolescent Psychology, 45(3), 361–382. https:// doi. org/ 10. 1080/
15374 416. 2015. 11108 23
McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A.,
Zaslavsky, A. M., & Kessler, R. C. (2012). Childhood adversities
and first onset of psychiatric disorders in a national sample of US
adolescents. Archives of General Psychiatry, 69(11), 1151–1160.
McLaughlin, K. A., & King, K. (2015). Developmental Trajectories of
Anxiety and Depression in Early Adolescence. Journal of Abnor-
mal Child Psychology, 43(2), 311–323. https:// doi. org/ 10. 1007/
s10802- 014- 9898-1
McLaughlin, K. A., & Lambert, H. K. (2017). Child trauma exposure
and psychopathology: Mechanisms of risk and resilience. Cur-
rent Opinion in Psychology, 14(Supplement C), 29–34. https://
doi. org/ 10. 1016/j. copsyc. 2016. 10. 004
McLaughlin, K. A., Peverill, M., Gold, A. L., Alves, S., & Sheridan, M.
A. (2015). Child Maltreatment and Neural Systems Underlying
Emotion Regulation. Journal of the American Academy of Child
and Adolescent Psychiatry, 54(9), 753–762. https:// doi. org/ 10.
1016/j. jaac. 2015. 06. 010
McLaughlin, K. A., & Sheridan, M. A. (2016). Beyond Cumulative
Risk: A Dimensional Approach to Childhood Adversity. Current
Directions in Psychological Science, 25(4), 239–245. https:// doi.
org/ 10. 1177/ 09637 21416 655883
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014).
Childhood adversity and neural development: Deprivation and
threat as distinct dimensions of early experience. Neuroscience
and Biobehavioral Reviews, 47, 578–591. https:// doi. org/ 10.
1016/j. neubi orev. 2014. 10. 012
Meropol, S. B., Moscati, R. M., Lillis, K. A., Ballow, S., & Janicke,
D. M. (1995). Alcohol-related injuries among adolescents in the
emergency department. Annals of Emergency Medicine, 26(2),
180–186.
Molnar, B. E., Buka, S. L., & Kessler, R. C. (2001). Child sexual abuse
and subsequent psychopathology: Results from the National
Comorbidity Survey. American Journal of Public Health, 91(5),
753–760.
Muris, P., Merckelbach, H., Ollendick, T., King, N., & Bogie, N.
(2002). Three traditional and three new childhood anxiety ques-
tionnaires: Their reliability and validity in a normal adolescent
sample. Behaviour Research and Therapy, 40(7), 753–772.
https:// doi. org/ 10. 1016/ S0005- 7967(01) 00056-0
Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus User’s Guide.
Eighth Edition. Los Angeles, CA: Muthén & Muthén.
Nolen-Hoeksema, S. (2000). The role of rumination in depressive
disorders and mixed anxiety/depressive symptoms. Journal of
Abnormal Psychology, 109(3), 504–511. https:// doi. org/ 10. 1037/
0021- 843X. 109.3. 504
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking
Rumination. Perspectives on Psychological Science, 3(5), 400–424.
https:// doi. org/ 10. 1111/j. 1745- 6924. 2008. 00088.x
Ochsner, K. N., & Gross, J. J. (2005). The cognitive control of emotion.
Trends in Cognitive Sciences, 9(5), 242–249. https:// doi. org/ 10.
1016/j. tics. 2005. 03. 010
Patrick, M. E., Wray-Lake, L., Finlay, A. K., & Maggs, J. L. (2010). The
Long Arm of Expectancies: Adolescent Alcohol Expectancies
Predict Adult Alcohol Use. Alcohol and Alcoholism, 45(1), 17–24.
https:// doi. org/ 10. 1093/ alcalc/ agp066
Perry, D. G., Perry, L. C., & Rasmussen, P. (1986). Cognitive social
learning mediators of aggression. Child Development, 700–711.
Pollak, S. D., Cicchetti, D., Hornung, K., & Reed, A. (2000). Recogniz-
ing emotion in faces: Developmental effects of child abuse and
neglect. Developmental Psychology, 36(5), 679–688. https:// doi.
org/ 10. 1037/ 0012- 1649. 36.5. 679
Pollak, S. D., & Sinha, P. (2002). Effects of early experience on chil-
drens recognition of facial displays of emotion. Developmental
Psychology, 38(5), 784–791. https:// doi. org/ 10. 1037/ 0012- 1649.
38.5. 784
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling
strategies for assessing and comparing indirect effects in mul-
tiple mediator models. Behavior Research Methods, 40(3),
879–891.
Reinherz, H. Z., Giaconia, R. M., Hauf, A. M. C., Wasserman, M.
S., & Paradis, A. D. (2000). General and Specific Childhood
Risk Factors for Depression and Drug Disorders by Early Adult-
hood. Journal of the American Academy of Child & Adolescent
Psychiatry, 39(2), 223–231. https:// doi. org/ 10. 1097/ 00004 583-
20000 2000- 00023
Reynolds, W. M. (1994). Assessment of Depression in Children and
Adolescents by Self-Report Questionnaires. In W. M. Reynolds
& H. F. Johnston (Eds.), Handbook of Depression in Children
and Adolescents (pp. 209–234). Springer US. http:// link. sprin ger.
com/ chapt er/ https:// doi. org/ 10. 1007/ 978-1- 4899- 1510-8_ 11
Rudolph, K. D., & Hammen, C. (1999). Age and gender as determi-
nants of stress exposure, generation, and reactions in youngsters:
A transactional perspective. Child Development, 70(3), 660–677.
Rueter, M. A., Scaramella, L., Wallace, L. E., & Conger, R. D. (1999).
First Onset of Depressive or Anxiety Disorders Predicted by the
Longitudinal Course of Internalizing Symptoms and Parent-
Adolescent Disagreements. Archives of General Psychiatry,
56(8), 726–732. https:// doi. org/ 10. 1001/ archp syc. 56.8. 726
Saunders, J. B., Aasland, O. G., Babor, T. F., De La Fuente, J. R., &
Grant, M. (1993). Development of the Alcohol Use Disorders
Identification Test (AUDIT): WHO Collaborative Project on
Early Detection of Persons with Harmful Alcohol Consumption-
II. Addiction, 88(6), 791–804. https:// doi. org/ 10. 1111/j. 1360-
0443. 1993. tb020 93.x
Saylor, C. F., Finch, A. J., Spirito, A., & Bennett, B. (1984). The chil-
drens depression inventory: A systematic evaluation of psycho-
metric properties. Journal of Consulting and Clinical Psychol-
ogy, 52(6), 955–967.
Research on Child and Adolescent Psychopathology
1 3
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the
state of the art. Psychological Methods, 7(2), 147–177. https://
doi. org/ 10. 1037/ 1082- 989X.7. 2. 147
Simons, J. S., & Gaher, R. M. (2005). The Distress Tolerance Scale:
Development and Validation of a Self-Report Measure. Moti-
vation and Emotion, 29(2), 83–102. https:// doi. org/ 10. 1007/
s11031- 005- 7955-3
Smucker, M. R., Craighead, W. E., Craighead, L. W., & Green, B. J.
(1986). Normative and reliability data for the Childrens Depres-
sion Inventory. Journal of abnormal child psychology, 14(1),
25–39.
Stautz, K., & Cooper, A. (2013). Impulsivity-related personality traits
and adolescent alcohol use: A meta-analytic review. Clinical
Psychology Review, 33(4), 574–592.
Thomason, M. E., Marusak, H. A., Tocco, M. A., Vila, A. M., McGarragle,
O., & Rosenberg, D. R. (2015). Altered amygdala connectivity
in urban youth exposed to trauma. Social Cognitive and Affec-
tive Neuroscience, 10(11), 1460–1468. https:// doi. org/ 10. 1093/
scan/ nsv030
Tomás, M. T. C., Costa, J. A. G., Motos-Sellés, P., Beitia, M. D. S.,
& Mahía, F. C. (2017). The utility of the Alcohol Use Disorders
Identification Test (AUDIT) for the analysis of binge drinking in
university students. Psicothema, 29(2), 229–235.
Tombaugh, T. N. (2006). A comprehensive review of the Paced Audi-
tory Serial Addition Test (PASAT). Archives of Clinical Neu-
ropsychology, 21(1), 53–76. https:// doi. org/ 10. 1016/j. acn. 2005.
07. 006
Valois, R. F., Oeltmann, J. E., Waller, J., & Hussey, J. R. (1999). Rela-
tionship between number of sexual intercourse partners and
selected health risk behaviors among public high school adoles-
cents. The Journal of Adolescent Health: Official Publication of
the Society for Adolescent Medicine, 25(5), 328–335.
Vujanovic, A. A., Bonn-Miller, M. O., Potter, C. M., Marshall, E.
C., & Zvolensky, M. J. (2011). An Evaluation of the Relation
Between Distress Tolerance and Posttraumatic Stress within
a Trauma-Exposed Sample. Journal of Psychopathology and
Behavioral Assessment, 33(1), 129–135. https:// doi. or g/ 10. 1007 /
s10862- 010- 9209-2
Walker, E. A., Unutzer, J., Rutter, C., &, , etal. (1999). Costs of health
care use by women hmo members with a history of childhood
abuse and neglect. Archives of General Psychiatry, 56(7), 609–
613. https:// doi. org/ 10. 1001/ archp syc. 56.7. 609
Ward, C., Flisher, A., Zissis, C., Muller, M., & Lombard, C. (2001).
Exposure to violence and its relationship to psychopathology in
adolescents. Injury Prevention, 7(4), 297–301. https:// doi. org/
10. 1136/ ip.7. 4. 297
Zgierska, A., Rabago, D., Chawla, N., Kushner, K., Koehler, R., &
Marlatt, A. (2009). Mindfulness Meditation for Substance Use
Disorders: A Systematic Review. Substance Abuse : Official Pub-
lication of the Association for Medical Education and Research
in Substance Abuse, 30(4), 266–294. https:// doi. org/ 10. 1080/
08897 07090 32500 19
Zvolensky, M. J., Vujanovic, A. A., Bernstein, A., & Leyro, T. (2010).
Distress Tolerance: Theory, Measurement, and Relations to
Psychopathology. Current Directions in Psychological Science,
19(6), 406–410. https:// doi. org/ 10. 1177/ 09637 21410 388642
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