Personality Disorders: Theory, Research, and
Treatment
Ecological Momentary Assessment of Nonsuicidal SelfInjury in Youth With Borderline Personality Disorder
Holly E. Andrewes, Carol Hulbert, Susan M. Cotton, Jennifer Betts, and Andrew M. Chanen
Online First Publication, August 8, 2016. http://dx.doi.org/10.1037/per0000205
CITATION
Andrewes, H. E., Hulbert, C., Cotton, S. M., Betts, J., & Chanen, A. M. (2016, August 8). Ecological
Momentary Assessment of Nonsuicidal Self-Injury in Youth With Borderline Personality Disorder.
Personality Disorders: Theory, Research, and Treatment. Advance online publication. http://
dx.doi.org/10.1037/per0000205
Personality Disorders: Theory, Research, and Treatment
2016, Vol. 7, No. 4, 000
© 2016 American Psychological Association
1949-2715/16/$12.00 http://dx.doi.org/10.1037/per0000205
Ecological Momentary Assessment of Nonsuicidal Self-Injury in Youth
With Borderline Personality Disorder
Holly E. Andrewes
Carol Hulbert
The University of Melbourne and Orygen, The National Centre
of Excellence in Youth Mental Health, Melbourne,
Victoria, Australia
The University of Melbourne
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
Susan M. Cotton, Jennifer Betts, and Andrew M. Chanen
Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia, and Centre
for Youth Mental Health, The University of Melbourne
Nonsuicidal self-injury (NSSI) is highly prevalent among individuals with borderline personality disorder
(BPD). The aim of this study was to investigate the cognitive, emotional, and contextual experience of NSSI
in 107 youth (aged 15–25 years) with BPD who had minimal prior exposure to treatment. Using ecological
momentary assessment, participants completed a randomly prompted questionnaire about their affect, selfinjurious thoughts, and behaviors six times per day for 6 days. Twenty-four youth with BPD engaged in 52
counts of NSSI, with 56 motives identified. Open-ended questions revealed that on occasions of NSSI, a large
minority of participants could identify neither their motives (27%, n ⫽ 15) nor the environmental precipitants
(46%, n ⫽ 24) for NSSI. Changes in affect revealed a pattern of increasing negative and decreasing positive
affect prior to NSSI, with a reduction in negative and an increase in positive affect following NSSI. These
changes were absent for those who did not engage in NSSI. Initial self-injurious thoughts and changes in
negative and positive affect occurred a median of 35, 15, and 10 hr prior to NSSI, respectively. These findings
suggest that youth with BPD have limited capacity to reflect on their motives and environment preceding
NSSI. The patterns of affect change indicate that NSSI is maintained by reward incentives as well as negative
reinforcement. The time between initial self-injurious thoughts and engagement in NSSI reveals a window of
opportunity for intervention.
Keywords: borderline personality disorder, nonsuicidal self-injury, youth, psychiatry
deaths (Chapman, Specht, & Cellucci, 2005), and high levels of
treatment utilization (Bender et al., 2006). The incidence of NSSI
peaks at puberty (Moran et al., 2012) in both the general population
and those with BPD, with two thirds of adults with BPD reporting that
they commenced NSSI prior to adulthood (Zanarini et al., 2006).
Accordingly, improved understanding of NSSI early in the course of
BPD is needed to guide early intervention.
Background
Borderline personality disorder (BPD) is a severe mental disorder that is characterized by a pervasive pattern of impulsivity and
instability in emotion regulation, interpersonal relationships, and
self-image (Leichsenring, Leibing, Kruse, New, & Leweke, 2011).
The onset of BPD usually occurs in the period between puberty
and emerging adulthood, but little is known about this disorder
during its early stages (Chanen, 2015).
Nonsuicidal self-injury (NSSI) is the deliberate destruction of one’s
bodily tissue that is without cultural significance or lethal intent
(Nock, 2009). This behavior is a core feature of BPD (Leichsenring et
al., 2011) and is associated with lasting physical injury, accidental
Non-Suicidal Self-Injury in BPD
Retrospective research has studied the functions of NSSI with
respect to motives for engagement and changes in emotions that
precede and follow NSSI (Klonsky, 2007). In adults with BPD, the
Career Development Fellowship (APP1061998). The content is solely
the responsibility of the authors and does not necessarily represent
official views of the NHMRC. A special thanks to the patients, families,
and staff of the HYPE Program at Orygen Youth Health and headspace
Western Melbourne. We also thank Sharnel Perera, Sinn Yuin Chong,
Victoria Rayner, and Francesca Kuperman for their assistance with data
collection.
Correspondence concerning this article should be addressed to Andrew
M. Chanen, Orygen, The National Centre of Excellence in Youth Mental
Health, Locked Bag 10, Parkville, Victoria, Australia 3052. E-mail:
andrew.chanen@orygen.org.au
Holly E. Andrewes, Melbourne School of Psychological Sciences, University of Melbourne and Orygen, The National Centre of Excellence in
Youth Mental Health, Melbourne, Victoria, Australia; Carol Hulbert, Melbourne School of Psychological Sciences, University of Melbourne; Susan
M. Cotton, Jennifer Betts, and Andrew M. Chanen, Orygen, The National
Centre of Excellence in Youth Mental Health and Centre for Youth Mental
Health, University of Melbourne.
This project was conducted within a study supported by a National
Health and Medical Research Council (NHMRC) project grant
(GNT0628739). Professor Sue Cotton is supported by an NHMRC
1
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
2
ANDREWES ET AL.
most commonly reported motive is affect regulation (e.g., Kleindienst et al., 2008), followed by self-punishment, antidissociation,
interpersonal influence (e.g., Brown, Comtois, & Linehan, 2002),
and regaining control (Kleindienst et al., 2008). Motives such as
sensation seeking are less commonly cited, yet have been identified as a secondary motive by 46% of adults with BPD (Kleindienst et al., 2008). To the authors’ knowledge, only one study
(Sadeh et al., 2014) has investigated motives in adolescents with
BPD (mean age ⫽ 16.7 years). Adolescents identified affect regulation, followed by self-punishment, as the motives most relevant
to their engagement in NSSI.
Emotions that precede and follow NSSI have also mostly been
studied in adults with BPD using retrospective interviews, questionnaires (Chapman & Dixon-Gordon, 2007; Kleindienst et al.,
2008), and laboratory studies (Reitz et al., 2012). Among these
studies, most adults with BPD have retrospectively reported an
increase in negative emotions, including anger (Chapman &
Dixon-Gordon, 2007) and aversive tension (Kleindienst et al.,
2008) prior to NSSI, with a reduction following NSSI (Chapman
& Dixon-Gordon, 2007; Kleindienst et al., 2008; Reitz et al.,
2012). An increase in positive affect has been posited to follow
NSSI in BPD participants (Kleindienst et al., 2008), yet few
studies have investigated this. Relying solely on these retrospective and laboratory findings is problematic as people with BPD
often retrospectively overestimate levels of negative affect (EbnerPriemer et al., 2006) and are inaccurate in their descriptions of
mood fluctuations over time (Solhan, Trull, Jahng, & Wood,
2009). Findings from laboratory designs, which rely on proxies for
self-injury, such as an incision made by the investigator in the arm
of participants (Reitz et al., 2012), might have limited generalizability. Furthermore, both retrospective reports and laboratory
studies fail to capture important details, such as variability in affect
intensity, and timing of cognitions and affective changes prior to
engagement in NSSI.
Ecological Momentary Assessment
To address these limitations, ecological momentary assessment (EMA) has become the preferred method for elucidating
the phenomenology of NSSI (Armey, 2012). EMA captures
people’s internal states and cognitions as they happen in their
natural environment (Shiffman, Stone, & Hufford, 2008).
To the authors’ knowledge, no study has employed EMA to
identify motives for NSSI or assess emotional changes surrounding NSSI among treatment-seeking patients with BPD. One study
that recruited from the community through newspaper advertisements (Snir, Rafaeli, Gadassi, Berenson, & Downey, 2015) found
that adults with BPD (n ⫽ 18, mean age ⫽ 30.9 years) most
frequently identified emotional relief, feeling generation, and selfpunishment from a provided list of reasons for NSSI. However, a
major methodological shortcoming of this study and previously
mentioned retrospective studies is their use of checklists, rather
than open-ended questions, to prompt participant selection of
motives. This is problematic as people with BPD show impaired
metacognitive capacities (Dimaggio & Lysaker, 2015), along with
a compromised recall of autobiographical memories, which have
been found to be less specific (Maurex et al., 2010), less coherent,
and more disorganized (Jørgensen et al., 2012) than among people
with obsessive– compulsive disorder and nonclinical community
samples. Thus, in moments of distress, people with BPD might
have limited capacity to spontaneously identify their motives for
NSSI. It is probable that prior studies that rely on checklists of
motives have masked these cognitive difficulties.
Snir and colleagues (2015) also identified inferred motives
from the emotional changes occurring pre- and post-NSSI.
Their findings showed an increase in dissociation, as well as
perceived rejection/isolation prior to NSSI and a reduction
following NSSI, approximating a quadratic curve. Interestingly,
participants did not exhibit any reliable changes to indicate a
quadratic trajectory in negative affect surrounding NSSI. This
contrasts with results from retrospective and laboratory studies
in adults with BPD in which participants reported an increase in
negative affect prior to and a reduction following NSSI (Chapman & Dixon-Gordon, 2007; Kleindienst et al., 2008; Reitz et
al., 2012). It also fails to support affect regulation motives for
engaging in NSSI (e.g., Kleindienst et al., 2008). Furthermore,
changes in positive affect were not assessed in Snir and colleagues’ (2015) study, and therefore, the real-time role of
positive reinforcement as a maintaining factor for NSSI in BPD
remains unclear. In addition, findings from studies among
adults with BPD might be confounded by duration of illness
effects that include polypharmacy, other treatments, and recurrent co-occurring mental state disorders that, over time, might
influence the motives, cognitive changes, and affect associated
with NSSI (Chanen, 2015).
Changes in affect pre- and post-NSSI have been assessed in
other clinical and undergraduate samples recruited from the
campus and community, but these findings are contradictory.
An increase in negative affect prior to NSSI and a reduction
following were demonstrated with 17 adolescent undergraduates (mean age ⫽ 18.7 years; Armey, Crowther, & Miller,
2011). In contrast, negative affect increased prior to NSSI in 19
adults with bulimia nervosa (mean age ⫽ 25.3 years; Muehlenkamp et al., 2009) and did not reduce following NSSI. Changes
in positive affect were also investigated, with the changes
experienced by undergraduate youth failing to show reliable
changes before and after NSSI. In contrast, adults with bulimia
nervosa experienced a reduction in positive affect prior to NSSI
and an increase following NSSI.
A particular advantage of EMA is that it also enables the
assessment of the time between initial changes in affect, selfinjurious thoughts, and engagement in NSSI. Among undergraduate students, Armey and colleagues (2011) found that there was
a mean of 8 hr between a change in negative affect and engagement in NSSI. However, as youth with BPD have higher levels of
impulsivity and a lower capacity for emotion regulation than
healthy adolescents in the community (Brunner et al., 2007), the
potential window for intervention, between change in affect and
engagement in NSSI, might be shorter. Using retrospective reporting within an EMA paradigm and via self-report respectively,
Armey and colleagues (2011) and Snir and colleagues (2015) also
found that the majority of participants reported that they spent less
than an hour preparing for NSSI. However, it is unclear whether
retrospective reports of preparation for NSSI are akin to the
duration of time between an initial self-injurious thought and
engagement in NSSI.
NONSUICIDAL SELF-INJURY IN YOUTH WITH BPD
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
Current Investigation
In summary, real-time motives for NSSI reported by youth with
BPD remain unclear due to employment of largely retrospective
paradigms that rely on checklists rather than open-ended questions
to elicit motives. Elucidation of the changes in affect that occur
pre- and post-NSSI are also required due to conflicting findings
from undergraduate and clinical community samples that are not
generalizable to acutely unwell treatment-seeking “youth” (aged
15–25 years) with BPD. This study aimed to (a) use both open- and
closed-ended questions in experience sampling to delineate the
real-time motives and changes in affect that trigger and maintain
NSSI in youth with BPD and (b) establish the temporal course of
changes in affect, initial self-injurious thoughts, and engagement
in NSSI. It was hypothesized that (a) although the most commonly
reported functions of NSSI will be affect regulation and selfpunishment (Sadeh et al., 2014), the use of open-ended inquiry will
reveal a group of participants who are unable to identify their
motives; (b) negative affect will increase prior to and then decrease
following NSSI, whereas positive affect will decrease prior to and
increase following NSSI, with both approximating a quadratic
curve; (c) in those who do not engage in NSSI, affect before and
after a random point will not approximate a quadratic curve; and
(d) youth with BPD will experience an interval of less than 8 hr
between changes in positive and negative affect and NSSI.
Method
Participants were recruited as part of a larger randomized control trial of early intervention for youth with first-presentation BPD
(for details, see Chanen et al., 2015). In total, 113 help-seeking
youth, aged 15–25 years, with a diagnosis of BPD were recruited
through the triage systems of two government-funded youth mental health services in western metropolitan Melbourne, Australia.
3
The United Nations and World Health Organization define youth
as persons between ages 15 and 24 years (United Nations, 2001),
and the term is also used by the International Association of Youth
Mental Health to describe young people aged 12–25 years. The use
of this term reflects studies from sociology, developmental psychology, and developmental neuroscience (Arnett, 2000; Nelson,
Leibenluft, McClure, & Pine, 2005; Paus, 2005; Steinberg, 2005)
that all point to an extended but coherent period of development
from puberty to around 25 years of age in economically developed
societies. Recently, we have recommended that, for personality
disorder research and treatment, more natural developmental periods would be childhood, youth (adolescents and emerging adulthood), adulthood, and old age (Chanen, Tackett, & Thompson, in
press). Six participants were excluded due to technical failure in
the EMA safety alert system and/or failure to complete any of the
EMA questionnaires. The final sample comprised 107 young people with BPD, 94% (n ⫽ 99) of whom had engaged in NSSI in the
past 3 months. Table 1 outlines the sample characteristics.
Measures
Psychopathology. The Structured Clinical Interview for
DSM–IV (SCID) Axis I–Patient Edition (SCID-I/P; First, Spitzer,
Gibbon, & Williams, 2002) and SCID-II (First, Gibbon, Spitzer,
Williams, & Benjamin, 1997) were used as diagnostic tools. The
SCID-I/P and SCID-II have good interrater reliability for (DSM–
IV–TR; American Psychiatric Association, 2000) clinical diagnoses, with Cohen’s ranging between 0.64 and 0.87 for the SCIDI/P (Lobbestael, Leurgans, Arntz, & Wiley, 2011), and a Cohen’s
of between 0.65 and 0.95 using the SCID-II (Lobbestael et al.,
2011).
History of NSSI. The 13-item Parasuicidal Behaviors subscale of the Borderline Personality Disorder Severity Index (BPDSI; Arntz et al., 2003) captured engagement in NSSI over the
Table 1
Demographic Characteristics of the Total Cohort
Characteristic
Total (N ⫽ 107)
NSSI⫹ (n ⫽ 24)
NSSI⫺(n ⫽ 83)
Female (%)
Age (years), M (SD)
High socioeconomic disadvantage (%)a
Completed final year of school (%)b
Unemployed (%)
Taken leave from school/work (%)
Employed part-time (%)
Employed full-time (%)
Mental state disorder (%)
Mood disorders
Anxiety disorder
Eating disorders
Personality disorders (%)
Antisocialc
Paranoid
Avoidant
Narcissistic
Histrionic
Dependent
83.2
18.1 (2.7)
45.8ⴱ
38.8
12.0
49.0
11.0
7.5
87.5
18.2 (2.9)
29.2
75.0
20.8
45.8
8.3
8.3
81.9
19.1 (2.7)
50.6
31.7
9.6
49.4
12.0
7.2
83.2
71.3
8.4
83.3
75.0
12.5
83.2
70
7.2
31.8
20.6
23.4
3.7
3.7
3.0
37.5
29.2
16.7
0
4.2
4.2
30.1
18.1
25.3
4.8
3.6
2.4
Note. NSSI ⫽ nonsuicidal self-injury.
a
Rated according to the participants’ residential postcode (Vinson, 2007). b Participants over 18 years.
agnosis made ignoring Criterion B that requires ⬎ 18 years of age (Chanen et al., 2007).
ⴱ
p ⬍ .05 (indicating a significant difference between those who did and did not engage in NSSI).
c
Di-
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
4
ANDREWES ET AL.
preceding 3 months. This subscale exhibits good interrater reliability, with an intraclass correlation of 0.93 and a median Cronbach’s alpha (␣) of 0.69 (Arntz et al., 2003).
Current positive and negative affect. This was measured by
the 10-item short-form of the Positive and Negative Affect Scale
(PANAS; Kercher, 1992), delivered through the Mobiletype EMA
program (Reid et al., 2009). The PANAS comprised the following
question: “How [insert positive or negative affect] are you feeling
right now?” with a rating scale of 1–5 (1 ⫽ very slightly or not at
all to 5 ⫽ extremely). The total scores for positive affect and
negative affect were calculated separately by summing the ratings
on each scale. The structural characteristics of the 10-item PANAS
are stable across age groups and gender (Mackinnon et al., 1999).
The reliability of both the positive and negative affect scales is also
high, with a Cronbach’s alpha of 0.78 and 0.87, respectively
(Mackinnon et al., 1999).
NSSI and self-injurious thoughts. This was captured by a set
of items delivered by the Mobiletype EMA program (Reid et al.,
2009), which comprised the closed questions with yes/no answers
(“Since the last signal have you thought about deliberately hurting
yourself?” “Since the last signal, have you actually hurt yourself?”) and open questions (“What did you do to hurt yourself?”
“What was going on, just before you thought about hurting yourself?” “Why did you hurt yourself?”). These questions identified
the occurrence of engagement in a self-injurious thought and/or
NSSI, the methods used to engage in NSSI, and the context and
motive for engaging in NSSI, respectively. Motives for NSSI were
used to distinguish NSSI with and without suicidal intent. Descriptive motives were coded by two raters according to the seven most
common reasons for NSSI reported in Klonsky’s (2007) review.
The interrater reliability indicated almost perfect agreement, with
a Cohen’s of 0.95, p ⬍ .001. A third rater coded the few
conflicting ratings, with final categorization according to agreement with one of the raters.
Procedure
Ethical approval was obtained from the Melbourne Health
Human Research Ethics Committee. Written informed consent
was obtained from participants and from a parent or guardian if
participants were minors. Upon entry to the study, participants
completed the SCID-I/P, SCID-II, and the Parasuicidal Behaviors subscale of the BPD-SI and were issued with a mobile
phone that contained an electronic diary program (Mobiletype;
Reid et al., 2009). This program prompted participants to complete a survey identifying their affect, experiences, and behaviors six times per day for 6 days. Response prompts were
randomized within 2-hr time blocks between 10 a.m. and 10
p.m. Participants were given 15 min from the prompt to begin
completing the survey, so as to ensure that participant responses
were completed contemporaneously. A total of 8 min was
provided for the participant to complete the survey, after which
point they were locked out. If participants did not complete at
least one survey per day, the phone was left with them for a
second week to ensure sufficient data collection. Participants
were reimbursed $40 for their participation, regardless of their
adherence to the Mobiletype protocol.
Statistical Procedures
An assessment of normality, linearity, homoscedasticity, or univariate and multivariate outliers was performed for all demographic variables, Parasuicidal Behaviors subscale of the BPD-SI,
and EMA data, including missing data, timing of assessment, and
timing between the change in affect, cognitions, and NSSI. Where
nonnormality was cited, the median was presented as the best
reportable measure of central tendency (Tabachnick & Fidell,
2013).
To compare the changes in affect pre- and post-NSSI (NSSI⫹;
Hypothesis 2), the two consecutive data points immediately preceding the first NSSI occurrence and the two available time points
immediately following this event were extracted (Armey et al.,
2011). Data points selected were all within 20-hr pre- and postNSSI. As EMA studies have not previously assessed youth with
BPD, a longer time period was selected than has been used in prior
EMA studies to ensure that initial affect changes were captured.
Time was centered on the recording of the NSSI event (T0) with
the times prior to and following the event respectively added and
subtracted from this point and identified as negative and positive
time values. Multiple NSSI events occurring over a 24-hr period
were excluded, as per Snir and colleagues’ (2015) procedure. For
individuals who did not engage in NSSI (NSSI–; Hypothesis 3),
the data from five consecutive time points were identified by
randomly selecting a time point (T0) and two time points immediately before and after.
Multilevel modeling (MLM) was employed to analyze these
data because it allows for the assessment of individual changes in
affect overtime (Level 1) and a comparison of changes in affect
between individuals (Level 2; Singer & Willett, 2003). MLM also
handles large amounts of missing data without excluding whole
cases. This analysis was conducted using maximum likelihood
estimation with robust standard errors to provide parameter estimates that facilitate the fit of a model with missing data (Yuan &
Bentler, 2000) and deviations from normality (Maas & Hox,
2004). As time points differed between participants, a variable that
represents time (in hours) before and after T0 was created, and
intercepts, linear slopes, and quadratic slopes were allowed to vary
using random effects. The fit statistics of a linear, quadratic, and
cubic model were initially compared before adding a dummycoded variable to distinguish the NSSI⫹ group (coded 1) from the
NSSI– group (coded 0; Singer & Willett, 2003). To adjust for
small growth variances in the quadratic MLM, time was divided by
24, with changes in affect interpreted as occurring over a day,
rather than an hour. The standard equation for this quadratic MLM
is as follows:
Yij ⫽ ␥00 ⫹ ␥10TIMEij ⫹ ␥20TIMEij2 ⫹ ␥01NSSI
⫹ ␥11共NSSIj TIMEij兲 ⫹ ␥21共NSSIj TIMEij2兲 ⫹
0j ⫹ 1jTIMEij ⫹ 2jTIMEij2 ⫹ εij
Timing of the initial change in affect reported prior to NSSI
(Hypothesis 4) over the 6 days of data collection was identified as
the highest or lowest rating in positive or negative affect, respectively, prior to a reduction or increase leading to NSSI. Timing of
the first self-injurious thought reported over the 6 days of data
collection and the first self-injurious thought following a change in
affect but prior to engagement in NSSI was also recorded. Addi-
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
NONSUICIDAL SELF-INJURY IN YOUTH WITH BPD
tional criteria for data point selection of both thoughts and affect
included (a) if 24 hr of missing data were identified prior to NSSI,
then the participant was excluded from this analysis, and (b) for
individuals who engaged in more than one NSSI event, only
changes in affect or thoughts occurring prior to the first NSSI were
included.
Measures of effect were calculated for all statistics. Partial eta
squared (2) and Pearson coefficient (r) were calculated for t tests
and correlations, respectively. Local effect sizes for MLM were
identified by the proportional reduction in the variance of the
quadratic model after NSSI was added as a predictor (Peugh,
2010). Multilevel modeling was completed using MPLUS version
7.2. All other analysis was complete using SPSS version 21.
Results
Characteristics of the Sample
NSSI⫹ and NSSI– participants were compared on age, gender,
comorbidity, country of birth, education, employment, and social
disadvantage rank. A significant correlation was found for social
disadvantage rank (1 ⫽ low disadvantage, 3 ⫽ high disadvantage),
with lower social disadvantage rankings found for participants
who engaged in NSSI, 2(1, N ⫽ 107) ⫽ 8.81, p ⫽ .003.
Characteristics of the EMA Data
Participants completed a total of 1,986 diary entries. Twentytwo participants (21%) were given the phone for a second week
because they completed an insufficient number of data entries in
the first week. An average of 18.56 (SD ⫽ 10.0) of a possible 36
diary entries were completed over 6 days of data collection. This
represents an average of 51.56% of the total available random
samples. The total number of diary entries completed by the
NSSI⫹ group (M ⫽ 21.17, SD ⫽ 8.48) did not differ significantly
from the NSSI– group (M ⫽ 17.42, SD ⫽ 10.37), t(105) ⫽ ⫺1.62,
p ⫽ .108. Two acts of self-injury with suicidal intent were removed from the sample and excluded from further analysis.
In the final sample, 24 participants engaged in 52 counts of
NSSI over the 6-day period, which equates to an average of 2.2 per
person (range: 1– 8). A significantly higher number of selfinjurious thoughts were reported by the NSSI⫹ group (n ⫽ 201,
5
M ⫽ 8.33, SD ⫽ 6.78) compared with the NSSI– group (n ⫽ 131,
M ⫽ 1.47, SD ⫽ 2.35), t(24.6) ⫽ ⫺4.87, p ⬍ .001. The magnitude
of the difference was very large (2 ⫽ 0.23; Cohen, 1988).
Method, Context, and Function of NSSI
Cutting was the most common method of NSSI. When participants were asked about the context in which NSSI occurred, 46%
stated that they were unaware of what was happening just prior to
engaging in this behavior (Mage ⫽ 17.74 years; range ⫽ 15.14 –
22.93 years). Participants most commonly reported engaging in
NSSI to reduce their distress. Twenty-seven percent of the reported
motives were unable to be categorized (Mage ⫽ 18.93 years;
range ⫽ 15.19 –24.65 years), with participants acknowledging that
they did not know why they had engaged in NSSI in the large
majority of cases. One third (33%) of participants who were unable
to identify their motives for engagement were also unable to
identify the context in which NSSI occurred (see Table 2).
Change in Affect Before and After NSSI
The log-likelihood deviance statistic (Singer & Willett, 2003)
for negative and positive affect showed that the quadratic model
was a better fit than the linear model (negative, ⌬2(4) ⫽ 28.10 ⫽
4, p ⬍ .001; positive, ⌬2(4) ⫽ 46.05, p ⬍ .001), or the cubic
model, which failed to identify. This finding supported the mean
plots for positive and negative affect (see Figure 1).
The fixed effects reflect a typical person in each group (Bolger
& Laurenceau, 2013). These revealed that when NSSI was recorded (T0), the mean ratings of negative and positive affect were
significantly higher and lower, respectively, than those of the
NSSI– group at a random point. Changes in both positive and
negative affect approximated a quadratic curve in the NSSI⫹
group, which was not found in the NSSI– group (see Table 3).
Local effect sizes revealed that after adding NSSI as a predictor
variable to the model, the variance in the intercept reduced by
13.21% and 11.57% for positive and negative affect, respectively.
The variance in the quadratic slope also reduced by 85.22% and
66.52% for positive and negative affect, respectively. Local effect
sizes revealed a reduction in Level 1 variance by 13.21% and
13.88% in negative and positive affect, respectively, when NSSI
was added as a predictor to the model.
Table 2
Method of NSSI, Context Surrounding Engagement, and Motives
Method of NSSI
n (%)
Cutting/carving
Scratching skin
Hitting object/self
Biting self
Burning self
Refused to state
Strangling self
37 (70)
8 (15)
3 (6)
1 (2)
1 (2)
2 (4)
1 (2)
Total methods
53 (100)a
Context of NSSI
n (%)
Categorization
n (%)
Nothing
Interpersonal conflict
Memories of past
Rumination
Stressful event
Suicidal thoughts
Eating
Bored
Total contexts
24 (46)
11 (21)
5 (10)
4 (8)
3 (6)
3 (6)
1 (2)
1 (2)
52 (100)
Affect regulation
Self-punishment
Sensation seeking
Antidissociation
Antisuicide
No category
“I don’t know”
“I had the urge”
Total motives
25 (45)
5 (9)
4 (7)
3 (5)
1 (2)
15 (27)
14 (25)
1 (2)
56 (100)b
Note. NSSI ⫽ nonsuicidal self-injury.
a
Fifty-three total methods were cited because two methods were endorsed in one event. b and 56 motives were
cited because two motives were identified in four separate events.
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
Mean Negative Affect (PANASNA)
25
23
21
19
17
15
13
11
9
Mean Positive Affect (PANAS-PA)
ANDREWES ET AL.
6
NSSINSSI+
25
23
21
19
17
15
13
11
9
NSSINSSI+
Figure 1. Mean of total negative (left) and positive affect (right) ratings with standard error bars before and
after NSSI (NSSI⫹) or a random point for the group who did not engage in NSSI (NSSI–). Possible range 5–25.
NSSI ⫽ nonsuicidal self-injury; PANAS-NA ⫽ Positive and Negative Affect Scale - Negative Affect;
PANAS-PA ⫽ Positive and Negative Affect Scale - Positive Affect.
literature. First, young people with BPD who were assessed in real
time most commonly reported affect regulation as their motive for
engaging in NSSI. This finding supports a recent EMA study in a
community sample of adults with BPD who responded to advertisements (Snir et al., 2015), as well as retrospective studies among
treatment-seeking adolescents (Sadeh et al., 2014) and adult patients with BPD (Kleindienst et al., 2008). However, only 9% of
participants in the current study cited self-punishment as a reason
for NSSI, which contrasts with a prior retrospective study among
adolescents with BPD who rated this as the second most relevant
motivation for engaging in NSSI (Sadeh et al., 2014).
Second, 27% of participants were unable to identify their motives for engaging in NSSI when given a free choice answer
format, which is consistent with research indicating that people
with BPD have impaired metacognitive capacities (Dimaggio &
Lysaker, 2015). This finding gives rise to concerns about the
validity of motives reported in studies using checklists to prompt
participants’ responses (e.g., Sadeh et al., 2014). Furthermore, for
almost half of the NSSI events, participants were unable to identify
Timing in Changes of Affect and Cognitions
Changes in negative and positive affect occurred a median of
15.18 hr (range, 2.33–38.44) and 10.04 hr (range, 2.14 –38.55),
respectively, prior to engagement NSSI. The time between the first
self-injurious thought in the 6-day assessment period and engagement in NSSI was a median of 34.86 hr but ranged between 0 and
122 hr (5 days), indicating high levels of variability. Following a
change in negative affect, additional self-injurious thoughts occurred a median of 2.5 hr before NSSI, with a range of 0 –21.79 hr.
A strong positive relationship was found between the timing of
initial thoughts about NSSI and the change in negative affect (r ⫽
.47, n ⫽ 18, p ⫽ .050) and positive affect (r ⫽ .73, n ⫽ 20, p ⫽
.001).
Discussion
This study is the first to investigate the real-time cognitions and
emotional changes pre- and post-NSSI in treatment-seeking patients with BPD. It contributes four major findings to the current
Table 3
Parameter Estimates for a Conditional Quadratic Growth Model of Negative and Positive Emotions as a Function of Engagement
in NSSI
Negative affect
Variable
Fixed effects
Intercept (NSSI–)
NSSI (intercept)
TIME
NSSIj ⫻ Timeij
TIME2
NSSIj ⫻ TIMEIJ2
Random effectsb
Level 2: intercept variance
Level 1: residual variance
Positive affect
a
Parameter
Estimate (SE)
z
95% CI
Estimate (SE)
z
95% CIa
␥00
␥01
␥10
␥11
␥20
␥21
9.09 (.70)
3.24 (1.20)
⫺1.15 (1.21)
1.44 (1.21)
.28 (1.27)
⫺6.14 (1.65)
12.98ⴱⴱⴱ
2.68ⴱⴱ
.70
1.19
.23
⫺3.71ⴱⴱⴱ
[7.72, 10.46]
[.87, 5.61]
[⫺2.46, 7.12]
[⫺9.39, 3.80]
[⫺8.27, 5.93]
[⫺9.39, 2.89]
9.45 (.44)
⫺2.30 (.87)
1.70 (1.66)
⫺.07 (1.25)
⫺2.14 (3.88)
3.77 (1.61)
21.54ⴱⴱⴱ
⫺2.65ⴱ
1.02
⫺.06
⫺.55
2.35ⴱⴱ
[8.60, 10.32]
[⫺4.01, ⫺.60]
[⫺1.55, 4.95]
[⫺2.53, 2.39]
[⫺9.74, 5.46]
[.62, 6.93]
0i
εi
12.28 (3.01)
11.04 (.55)
4.10ⴱⴱⴱ
19.89ⴱⴱⴱ
[6.44, 18.22]
[9.96, 12.13]
5.35 (1.82)
11.89 (.73)
2.94ⴱⴱ
16.30ⴱⴱⴱ
[1.78, 8.91]
[10.46, 13.32]
Note. NSSI ⫽ nonsuicidal self-injury.
a
Bootstrapped confidence intervals. b Due to the discrepancy between group sizes, the within-group variance in the NSSI– group likely obscured the
within-person variance in the NSSI⫹ group. For this reason, caution is required when interpreting these results, and only significant random effects were
reported.
ⴱ
p ⱕ .05. ⴱⴱ p ⱕ .005. ⴱⴱⴱ p ⱕ .001.
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
NONSUICIDAL SELF-INJURY IN YOUTH WITH BPD
what was happening just prior to engagement, suggesting that
youth with BPD might have limited external awareness in states of
high distress. The age of participants was not associated with the
ability to identify their motives or the context in which NSSI
occurred, indicating this deficit might be unrelated to developmental maturity in youth with BPD. This is clinically relevant because
reduced insight into motives and the environmental precipitants for
NSSI might prevent an individual from intervening with appropriate cognitive strategies aimed at reducing NSSI. Reduced awareness of their experiences might also contribute to enhanced distress, which may increase the chance of engaging in NSSI. The
latter prediction offers an area for future investigation, which is
supported by prior studies showing an association between distress
(or NSSI) and reduced emotional clarity (Ebner-Priemer et al.,
2008; Zaki, Coifman, Rafaeli, Berenson, & Downey, 2013).
Third, changes in negative affect significantly increased prior to
NSSI and reduced following NSSI, whereas positive affect significantly reduced prior to NSSI and increased following NSSI, both
approximating a quadratic curve. These changes were not found
among participants who did not engage in this behavior. These
findings indicate that treatment-seeking youth with BPD experience both positive and negative reinforcement, unlike undergraduate adolescents or community samples of adults with BPD or
bulimia (Armey et al., 2011; Muehlenkamp et al., 2009; Snir et al.,
2015). These differences might be partially explained by the clinical acuity of this sample, unlike the community samples in prior
EMA studies. In comparison with Snir and colleagues (2015), who
assessed changes in affect 10 hours pre- and post-NSSI, the current
findings might also reflect the longer time frame chosen in this
study to capture changes in negative affect. Given negative affect
was found to increase a median of 15 hr prior to NSSI in the
current study, it is possible that initial changes in negative affect
were not captured by Snir and colleagues (2015), which prevented
the changes in negative affect from fitting a quadratic model.
Changes in positive and negative affect in the current study were
supported by explicit motives, with 41% of participants engaging
in NSSI to reduce their negative emotions. However, as only 12%
of participants endorsed positively reinforcing motives (“feel
something,” “relieve an urge/to feel calmer/because I liked it”;
Selby, Nock, & Kranzler, 2014), it is possible that reward incentives arising from an increase in positive affect might be a secondary, rather than a primary maintaining factor for NSSI (Kleindienst et al., 2008). This finding suggests that an important step for
therapeutic change might be to help clients to acknowledge not
only the relief experienced from NSSI but also the rewarding
aspects of this behavior.
Fourth, the length of time between initial self-injurious
thoughts, changes in affect, and engagement in NSSI was highly
variable but also longer than expected. Specifically, the median
duration between initial changes in positive and negative affect
and engagement in NSSI was 10 and 15 hr, respectively. The
participants in the current study exhibited a longer time between
changes in affect and engagement in NSSI than the 8 hr found in
a community sample of youth (Armey et al., 2011). A median of
35 hr also elapsed between initial self-injurious thoughts and
engagement in NSSI. It is not possible to determine whether this
represents the time spent consciously planning for NSSI or a
period of conscious or unconscious rumination about NSSI, which
eventually led to engagement in the act. This finding does, how-
7
ever, challenge the notion that NSSI is always an impulsive act and
contrasts with evidence that youth with BPD (n ⫽ 30) rate themselves as more impulsive and exhibit a poorer ability to delay
gratification on a computerized delayed discounting task compared
with healthy controls (Lawrence, Allen, & Chanen, 2010). Instead,
the current study suggests that youth with BPD often experience
lower levels of urgency to engage in NSSI in the face of worsening
affect. It also indicates that they engage in some premeditation and
planning, as shown by intermittent thoughts about NSSI identified
hours prior to engagement. It is possible that a self-injurious
thought itself increased participants’ levels of distress tolerance via
the conscious or unconscious knowledge that this self-regulatory
behavior was available. This might have reduced the intensity and
speed at which negative affect increased, thereby lowering the
levels of impulsivity associated with this behavior.
Consequent self-injurious thoughts that follow changes in negative affect occurred a median of 2.5 hr prior to NSSI, which
indicates that once affect has changed, youth with BPD engage in
NSSI relatively quickly after experiencing an additional selfinjurious thought. The duration of time between the self-injurious
thought that follows a change in affect and NSSI might be reflective of the conscious preparation time for NSSI reported by adolescents and young adults in Armey and colleagues’ (2011) study
and retrospectively by adults with BPD (Snir et al., 2015). There
was also a strong association between the length of time from
initial self-injurious thoughts to engaging in NSSI, as well as the
time from change in affect to engaging in NSSI. This suggests that
those who experienced self-injurious thoughts many hours prior to
engaging in NSSI also experienced a longer duration of worsening
affect than those who acted more quickly on their thoughts about
NSSI.
Strengths and Limitations
A major strength of this study was the recruitment of acutely
unwell, help-seeking youth with BPD who had never received
evidence-based BPD treatment. This provided the opportunity to
assess NSSI early in the course of the disorder, with minimal
confounding by treatment and by duration of illness effects. The
sample size of 107 participants with BPD is also larger than any
previous retrospective, laboratory, or EMA study investigating
motives and affect changes related to NSSI in individuals with
BPD. Furthermore, this study complements previous research by
identifying motives for NSSI using open-ended questions, capturing and analyzing changes in both negative and positive emotions
using MLM, and examining a broader window of time to assess the
temporal relationship between initial self-injurious thoughts,
changes in affect, and engagement in NSSI.
A limitation to this study was the small number of participants
who engaged in NSSI (n ⫽ 24; 22%). This might be attributable to
the relatively short period of data collection in this study compared
with other EMA studies (Muehlenkamp et al., 2009; Nock, Prinstein, & Sterba, 2009; Snir et al., 2015; Zaki et al., 2013) that have
collected data over a 2- and 3-week period. Although the small
sample engaging in NSSI limits the generalizability of the findings, it is likely that extending the window of data collection would
have resulted in lowered adherence rates due to the level of clinical
acuity in this sample. A second limitation was that the prompts in
this study occurred randomly within 2-hr time blocks, which might
ANDREWES ET AL.
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
8
have prevented some changes in affect from being captured. To
determine if additional changes in affect occurred just prior to
NSSI, which indicate greater impulsivity, future studies might
prompt participants more intensively, yet over a shorter period, so
as to not increase participant fatigue. A third limitation was that the
time between actual engagement in NSSI and completion of the
questionnaire could not be verified because prompts to complete
questionnaires occurred randomly. In an attempt to address this
limitation in EMA methodology, Snir and colleagues (2015) centered time at the midpoint between reported engagement in NSSI
and the prior entry. To better overcome this limitation, future
studies could combine “event contingent” assessments, in which
participants can initiate questionnaires immediately following an
NSSI event, with a question in the survey that asks the time that
has elapsed since engaging in NSSI.
Summary and Clinical Implications
Findings from the current study suggest that both relief from
negative affect and reward incentives were found to maintain
NSSI, which might explain why NSSI is so prevalent among the
BPD population (Wedig et al., 2012). A failure to identify motives
and environmental precipitants for NSSI is common among youth
with BPD and should be addressed through techniques such as
behavioral chain analysis (Linehan, 1993) to facilitate the introduction of cognitive strategies. Finally, the considerable period of
time available from the initial self-injurious thoughts and changes
in affect to engagement in NSSI suggests that this behavior is not
as “impulsive” as might be commonly believed. Rather, this finding should encourage clinicians that there is sufficient time for the
introduction of cognitive and behavioral strategies to avert NSSI.
References
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.
Armey, M. F. (2012). Ecological momentary assessment and intervention
in nonsuicidal self-injury: A novel approach to treatment. Journal of
Cognitive Psychotherapy, 26, 299 –317. http://dx.doi.org/10.1891/08898391.26.4.299
Armey, M. F., Crowther, J. H., & Miller, I. W. (2011). Changes in
ecological momentary assessment reported affect associated with episodes of nonsuicidal self-injury. Behavior Therapy, 42, 579 –588. http://
dx.doi.org/10.1016/j.beth.2011.01.002
Arnett, J. J. (2000). Emerging adulthood. A theory of development from
the late teens through the twenties. American Psychologist, 55, 469 –
480. http://dx.doi.org/10.1037/0003-066X.55.5.469
Arntz, A., van den Hoorn, M., Cornelis, J., Verheul, R., van den Bosch,
W. M. C., & de Bie, A. J. H. T. (2003). Reliability and validity of the
borderline personality disorder severity index. Journal of Personality
Disorders, 17, 45–59. http://dx.doi.org/10.1521/pedi.17.1.45.24053
Bender, D. S., Skodol, A. E., Pagano, M. E., Dyck, I. R., Grilo, C. M.,
Shea, M. T., . . . Gunderson, J. G. (2006). Prospective assessment of
treatment use by patients with personality disorders. Psychiatric Services, 57, 254 –257. http://dx.doi.org/10.1176/appi.ps.57.2.254
Bolger, N., & Laurenceau, P. J. (2013). Intensive longitudinal methods: An
introduction to diary and experience sampling research. New York, NY:
Guilford.
Brown, M. Z., Comtois, K. A., & Linehan, M. M. (2002). Reasons for
suicide attempts and nonsuicidal self-injury in women with borderline
personality disorder. Journal of Abnormal Psychology, 111, 198 –202.
http://dx.doi.org/10.1037/0021-843X.111.1.198
Brunner, R., Parzer, P., Haffner, J., Steen, R., Roos, J., Klett, M., & Resch,
F. (2007). Prevalence and psychological correlates of occasional and
repetitive deliberate self-harm in adolescents. Archives of Pediatrics &
Adolescent Medicine, 161, 641– 649. http://dx.doi.org/10.1001/archpedi
.161.7.641
Chanen, A. M. (2015). Borderline personality disorder in young people:
Are we there yet? Journal of Clinical Psychology, 71, 778 –791. http://
dx.doi.org/10.1002/jclp.22205
Chanen, A., Jackson, H., Cotton, S. M., Gleeson, J., Davey, C. G., Betts,
J., . . . McCutcheon, L. (2015). Comparing three forms of early intervention for youth with borderline personality disorder (the MOBY
study): Study protocol for a randomised controlled trial. Trials, 16, 476.
http://dx.doi.org/10.1186/s13063-015-1001-x
Chanen, A. M., Tackett, J. L., & Thompson, K. (in press). Personality
pathology and disorder in children and youth. In J. Livesley & R.
Larstone (Ed.), Handbook of personality disorders: Theory, research,
and treatment (2nd ed.). New York, NY: Guilford Press
Chapman, A. L., & Dixon-Gordon, K. L. (2007). Emotional antecedents
and consequences of deliberate self-harm and suicide attempts. Suicide
and Life-Threatening Behavior, 37, 543–552. http://dx.doi.org/10.1521/
suli.2007.37.5.543
Chapman, A. L., Specht, M. W., & Cellucci, T. (2005). Borderline personality disorder and deliberate self-harm: Does experiential avoidance
play a role? Suicide and Life-Threatening Behavior, 35, 388 –399. http://
dx.doi.org/10.1521/suli.2005.35.4.388
Cohen, J. (1988). Statistical power analysis for the behavioral sciences
(2nd ed.). Hillsdale, NJ: Erlbaum.
Dimaggio, G., & Lysaker, P. H. (2015). Metacognition and mentalizing in
the psychotherapy of patients with psychosis and personality disorders.
Journal of Clinical Psychology, 71, 117–124. http://dx.doi.org/10.1002/
jclp.22147
Ebner-Priemer, U. W., Kuo, J., Schlotz, W., Kleindienst, N., Rosenthal,
M. Z., Detterer, L., . . . Bohus, M. (2008). Distress and affective
dysregulation in patients with borderline personality disorder: A psychophysiological ambulatory monitoring study. Journal of Nervous and
Mental Disease, 196, 314 –320. http://dx.doi.org/10.1097/NMD
.0b013e31816a493f
Ebner-Priemer, U. W., Kuo, J., Welch, S. S., Thielgen, T., Witte, S.,
Bohus, M., & Linehan, M. M. (2006). A valence-dependent groupspecific recall bias of retrospective self-reports: A study of borderline
personality disorder in everyday life. Journal of Nervous and Mental
Disease, 194, 774 –779. http://dx.doi.org/10.1097/01.nmd.0000239900
.46595.72
First, M., Gibbon, M., Spitzer, R., Williams, J., & Benjamin, L. (1997).
Structured Clinical Interview for DSM–IV Axis II Personality Disorders
(SCID-II). Washington, DC: American Psychiatric Press.
First, M., Spitzer, R., Gibbon, M., & Williams, J. (2002). Structured
Clinical Interview for DSM–IV–TR Axis I Disorders, Research Version,
Patient Edition (SCID-I/P). New York: Biometrics Research, New York
State Psychiatric Institute.
Jørgensen, C. R., Berntsen, D., Bech, M., Kjølbye, M., Bennedsen, B. E.,
& Ramsgaard, S. B. (2012). Identity-related autobiographical memories
and cultural life scripts in patients with borderline personality disorder.
Consciousness and Cognition: An International Journal, 21, 788 –798.
http://dx.doi.org/10.1016/j.concog.2012.01.010
Kercher, K. (1992). Assessing subjective well-being in the old-old: The
PANAS as a measure of orthogonal dimensions of positive and negative
affect. Research on Aging, 14, 131–168. http://dx.doi.org/10.1177/
0164027592142001
Kleindienst, N., Bohus, M., Ludäscher, P., Limberger, M. F., Kuenkele, K.,
Ebner-Priemer, U. W., . . . Schmahl, C. (2008). Motives for nonsuicidal
self-injury among women with borderline personality disorder. Journal
of Nervous and Mental Disease, 196, 230 –236. http://dx.doi.org/10
.1097/NMD.0b013e3181663026
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
NONSUICIDAL SELF-INJURY IN YOUTH WITH BPD
Klonsky, E. D. (2007). The functions of deliberate self-injury: A review of
the evidence. Clinical Psychology Review, 27, 226 –239. http://dx.doi
.org/10.1016/j.cpr.2006.08.002
Lawrence, K. A., Allen, J. S., & Chanen, A. M. (2010). Impulsivity in
borderline personality disorder: Reward-based decision-making and its
relationship to emotional distress. Journal of Personality Disorders, 24,
785–799. http://dx.doi.org/10.1521/pedi.2010.24.6.785
Leichsenring, F., Leibing, E., Kruse, J., New, A. S., & Leweke, F. (2011).
Borderline personality disorder. The Lancet, 377, 74 – 84. http://dx.doi
.org/10.1016/S0140-6736(10)61422-5
Linehan, M. M. (1993). Cognitive behavioural treatment of borderline
personality disorder. New York, NY: Guilford.
Lobbestael, J., Leurgans, M., Arntz, A., & Wiley, J. (2011). Inter-rater
reliability of the Structured Clinical Interview for DSM–IV Axis I
Disorders (SCID I) and Axis II Disorders (SCID II). Clinical Psychology
& Psychotherapy, 18, 75–79. http://dx.doi.org/10.1002/cpp.693
Maas, C. J. M., & Hox, J. J. (2004). The influence of violations of
assumptions on multilevel parameter estimates and their standard errors.
Computational Statistics & Data Analysis, 46, 427– 440. http://dx.doi
.org/10.1016/j.csda.2003.08.006
Mackinnon, A., Jorm, A., Christensen, H., Korten, A., Jacomb, P., &
Rodgers, B. (1999). A short form of the Positive and Negative Affect
Schedule: Evaluation of factorial validity and invariance across demographic variables in a community sample. Personality and Individual Differences, 27, 405– 416. http://dx.doi.org/10.1016/S01918869(98)00251-7
Maurex, L., Lekander, M., Nilsonne, A., Andersson, E. E., Asberg, M., &
Ohman, A. (2010). Social problem solving, autobiographical memory,
trauma, and depression in women with borderline personality disorder
and a history of suicide attempts. The British Journal of Clinical Psychology/the British Psychological Society, 49, 327–342. http://dx.doi
.org/10.1348/014466509X454831
Moran, P., Coffey, C., Romaniuk, H., Olsson, C., Borschmann, R.,
Carlin, J. B., & Patton, G. C. (2012). The natural history of self-harm
from adolescence to young adulthood: A population-based cohort
study. The Lancet, 379, 236 –243. http://dx.doi.org/10.1016/S01406736(11)61141-0
Muehlenkamp, J. J., Engel, S. G., Wadeson, A., Crosby, R. D., Wonderlich, S. A., Simonich, H., & Mitchell, J. E. (2009). Emotional states
preceding and following acts of non-suicidal self-injury in bulimia
nervosa patients. Behaviour Research and Therapy, 47, 83– 87. http://
dx.doi.org/10.1016/j.brat.2008.10.011
Nelson, E. E., Leibenluft, E., McClure, E. B., & Pine, D. S. (2005). The
social re-orientation of adolescence: A neuroscience perspective on the
process and its relation to psychopathology. Psychological Medicine, 35,
163–174. http://dx.doi.org/10.1017/S0033291704003915
Nock, M. K. (2009). Why do people hurt themselves? New insights into the
nature and functions of self-injury. Current Directions in Psychological
Science, 18, 78 – 83. http://dx.doi.org/10.1111/j.1467-8721.2009
.01613.x
Nock, M. K., Prinstein, M. J., & Sterba, S. K. (2009). Revealing the form
and function of self-injurious thoughts and behaviors: A real-time ecological assessment study among adolescents and young adults. Journal
of Abnormal Psychology, 118, 816 – 827. http://dx.doi.org/10.1037/
a0016948
Paus, T. (2005). Mapping brain maturation and cognitive development
during adolescence. Trends in Cognitive Sciences, 9, 60 – 68. http://dx
.doi.org/10.1016/j.tics.2004.12.008
Peugh, J. L. (2010). A practical guide to multilevel modeling. Journal of
School Psychology, 48, 85–112. http://dx.doi.org/10.1016/j.jsp.2009.09
.002
9
Reid, S. C., Kauer, S. D., Dudgeon, P., Sanci, L. A., Shrier, L. A., &
Patton, G. C. (2009). A mobile phone program to track young people’s
experiences of mood, stress and coping: Development and testing of the
mobiletype program. Social Psychiatry and Psychiatric Epidemiology,
44, 501–507. http://dx.doi.org/10.1007/s00127-008-0455-5
Reitz, S., Krause-Utz, A., Pogatzki-Zahn, E. M., Ebner-Priemer, U., Bohus, M., & Schmahl, C. (2012). Stress regulation and incision in borderline personality disorder—A pilot study modeling cutting behavior.
Journal of Personality Disorders, 26, 605– 615. http://dx.doi.org/10
.1521/pedi.2012.26.4.605
Sadeh, N., Londahl-Shaller, E. A., Piatigorsky, A., Fordwood, S., Stuart,
B. K., McNiel, D. E., . . . Yaeger, A. M. (2014). Functions of nonsuicidal self-injury in adolescents and young adults with borderline
personality disorder symptoms. Psychiatry Research, 216, 217–222.
http://dx.doi.org/10.1016/j.psychres.2014.02.018
Selby, E. A., Nock, M. K., & Kranzler, A. (2014). How does self-injury
feel? Examining automatic positive reinforcement in adolescent selfinjurers with experience sampling. Psychiatry Research, 215, 417– 423.
http://dx.doi.org/10.1016/j.psychres.2013.12.005
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32. http://
dx.doi.org/10.1146/annurev.clinpsy.3.022806.091415
Singer, J., & Willett, J. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, NY: Oxford University
Press. http://dx.doi.org/10.1093/acprof:oso/9780195152968.001.0001
Snir, A., Rafaeli, E., Gadassi, R., Berenson, K., & Downey, G. (2015).
Explicit and inferred motives for nonsuicidal self-injurious acts and
urges in borderline and avoidant personality disorders. Personality Disorders: Theory, Research, and Treatment, 6, 267–277. http://dx.doi.org/
10.1037/per0000104
Solhan, M. B., Trull, T. J., Jahng, S., & Wood, P. K. (2009). Clinical
assessment of affective instability: Comparing EMA indices, questionnaire reports, and retrospective recall. Psychological Assessment, 21,
425– 436. http://dx.doi.org/10.1037/a0016869
Steinberg, L. (2005). Cognitive and affective development in adolescence.
Trends in Cognitive Sciences, 9, 69 –74. http://dx.doi.org/10.1016/j.tics
.2004.12.005
Tabachnick, B., & Fidell, L. (2013). Using multivariate statistics (6th ed.).
Boston, MA: Pearson.
United Nations. (2001). Implementation of the world programme of
action for youth to the year 2000 and beyond. Retrieved May 25,
2016, from http://www.youthpolicy.org/basics/2001_WPAY_Imple
mentation_Report.pdf
Vinson, T. (2007). Dropping off the edge: The distribution of disadvantage
in Australia. Sydney, Australia: Jesuit Social Services.
Wedig, M. M., Silverman, M. H., Frankenburg, F. R., Reich, D. B.,
Fitzmaurice, G., & Zanarini, M. C. (2012). Predictors of suicide attempts
in patients with borderline personality disorder over 16 years of prospective follow-up. Psychological Medicine, 42, 2395–2404. http://dx
.doi.org/10.1017/S0033291712000517
Yuan, K., & Bentler, P. M. (2000). Three likelihood-based methods for
mean and covariance structure analysis with nonnormal missing data.
Sociological Methodology, 5, 165–200.
Zaki, L. F., Coifman, K. G., Rafaeli, E., Berenson, K. R., & Downey, G.
(2013). Emotion differentiation as a protective factor against nonsuicidal
self-injury in borderline personality disorder. Behavior Therapy, 44,
529 –540. http://dx.doi.org/10.1016/j.beth.2013.04.008
Zanarini, M. C., Frankenburg, F. R., Ridolfi, M. E., Jager-Hyman, S.,
Hennen, J., & Gunderson, J. G. (2006). Reported childhood onset of
self-mutilation among borderline patients. Journal of Personality Disorders, 20, 9 –15. http://dx.doi.org/10.1521/pedi.2006.20.1.9