paper with references attached that need to be included in the paper
O R I G I N A L C O N T R I B U T I O N
Psychological characteristics, stressful life events and deliberate self-harm: findings from the Child & Adolescent Self-harm in Europe (CASE) Study
Nicola Madge • Keith Hawton • Elaine M. McMahon • Paul Corcoran •
Diego De Leo • Erik Jan de Wilde • Sandor Fekete • Kees van Heeringen •
Mette Ystgaard • Ella Arensman
Received: 7 January 2011 / Accepted: 28 July 2011 / Published online: 17 August 2011
� Springer-Verlag 2011
Abstract There is evidence to suggest that both psy-
chological characteristics and stressful life events are
contributory factors in deliberate self-harm among young
people. These links, and the possibility of a dose–response
relationship between self-harm and both psychological
health and life events, were investigated in the context of a
seven-country school-based study. Over 30,000, mainly 15
and 16 year olds, completed anonymous questionnaires at
secondary schools in Belgium, England, Hungary, Ireland,
the Netherlands, Norway and Australia. Pupils were asked
to report on thoughts and episodes of self-harm, complete
scales on depression and anxiety symptoms, impulsivity
and self-esteem and indicate stressful events in their lives.
Level and frequency of self-harm was judged according to
whether they had thought about harming themselves or
reported single or multiple self-harm episodes. Multi-
nomial logistic regression assessed the extent to which
psychological characteristics and stressful life events dis-
tinguished between adolescents with different self-harm
histories. Increased severity of self-harm history was
associated with greater depression, anxiety and impulsivity
and lower self-esteem and an increased prevalence of all
ten life event categories. Female gender, higher impulsivity
and experiencing the suicide or self-harm of others, phys-
ical or sexual abuse and worries about sexual orientation
independently differentiated single-episode self-harmers
from adolescents with self-harm thoughts only. Female
gender, higher depression, lower self-esteem, experiencing
the suicide or self-harm of others, and trouble with the
police independently distinguished multiple- from single-
episode self-harmers. The findings reinforce the impor-
tance of psychological characteristics and stressful life
events in adolescent self-harm but nonetheless suggest that
some factors are more likely than others to be implicated.
Keywords Adolescence � Cross-cultural � Self-harm � Depression � Anxiety � Impulsivity � Self-esteem � Stressful life events � Psychological characteristics
Background
Deliberate self-harm is a significant problem among the
young. Although hard to predict, and often appearing ‘out
of the blue’, there is evidence to suggest that mental health
problems, impulsivity, self-esteem and stress in young
people’s lives are contributory factors. We examined
N. Madge (&) Centre for Child and Youth Research, Mary Seacole Building,
Brunel University, Uxbridge UB8 3PH, UK
e-mail: [email protected]
K. Hawton
Centre for Suicide Research, University of Oxford, Oxford, UK
E. M. McMahon � P. Corcoran � E. Arensman National Suicide Research Foundation, Cork, Ireland
D. De Leo
Australian Institute for Suicide Research and Prevention,
Griffith University, Brisbane, Australia
E. J. de Wilde
Netherlands Youth Institute, Utrecht, NL, Netherlands
S. Fekete
Department of Psychiatry, University of Pécs, Pécs, Hungary
K. van Heeringen
Unit of Suicide Research, Ghent University, Ghent, Belgium
M. Ystgaard
Centre for Child & Adolescent Mental Health, Oslo, Norway
123
Eur Child Adolesc Psychiatry (2011) 20:499–508
DOI 10.1007/s00787-011-0210-4
associations between self-harm and these factors among a
large sample of (mainly) 15- and 16-year olds participating
in the Child & Adolescent Self-harm in Europe (CASE)
Study and build on earlier findings from this international
research [28, 42, 47].
Considerable evidence links psychological characteris-
tics with self-harm thoughts and behaviour in adolescents
[14]. These problems may be state-dependent (e.g.
depression or anxiety) or trait-dependent (e.g. impulsivity
and self-esteem). Associations with depression are partic-
ularly widely reported [1, 26, 35], including longitudinal
studies [16, 44]. Anxiety symptoms also increase risk of
self-harm, particularly when associated with depression
[14, 18, 41].
Impulsivity has been linked with both self-harm epi-
sodes and suicidal ideation [10, 21, 25, 26]. Brent and
Mann [5] implicate aggressive impulsivity in the interpre-
tation of patterns of suicidal behaviour across generations.
Self-esteem (in relation to peers, school, family, sports/
athletics, body image and global self-worth) has also been
related to suicidal thoughts and attempts [25, 46].
Self-harm shows strong links with stress factors [20],
including difficulties in familial relationships [7, 23, 31],
poor relationships with friends and partners [11, 23] and
perceptions of poor academic performance [30].
In addition, knowing someone who has self-harmed, or
made a suicide attempt, contributes to risk [5, 6, 14, 27, 32].
Gay, lesbian and bisexual young people appear at elevated
risk [3, 39], especially when facing family difficulties [12].
Child abuse, especially sexual abuse, has repeatedly been
associated with self-harming and suicidal behaviour [4, 19,
48], and the link appears direct even though self-esteem [15]
or continued adversity over the life-cycle [19] may play a
mediating role. Both being bullied [8] and fear of bullying [2]
have been linked to an increase in self-harm.
In this paper, we explore links between psychological
characteristics, life events and self-harm history among young
people within a large international dataset. In particular, we
examine the dose–response hypothesis that increasing
adversity, in terms of psychological characteristics and life
events, is associated with increasing level and frequency of
self-harm. Such a relationship between depression and self-
harming behaviour has already been suggested for both fre-
quency [13, 19, 22] and severity [35] of episodes.
Methods
The CASE Study
This paper draws on data from the CASE Study, an inter-
nationally collaborative investigation of self-harm among
young people in seven self-selected countries. These
comprised six European countries—Belgium, England,
Hungary, Ireland, the Netherlands and Norway—and
Australia. The study methodology was similar in each
participating country and is described in detail elsewhere
[28]. School-based surveys were conducted with a total of
30,477 14–17-year-old adolescents, the majority being 15
or 16 years, who consented to provide anonymous self-
report data on self-harm behaviour (e.g. timing, frequency
of episodes, methods used, motives, help-seeking before
and after the episode, hospitalisation, serious thoughts
about self-harm), negative life events, lifestyle and psy-
chological characteristics including symptoms of anxiety,
depression, self-esteem and impulsivity. Schools were
selected to be locally and nationally representative, and
response rates ranged from 81 to 96 per cent in individual
countries.
Measures
Self-harm
To ensure international comparability, strict criteria were
adopted to assess self-harm taking account of whether
young people said they had harmed themselves as well as
descriptions of the last episode. The criterion for self-harm
depended on a report of at least one of the following acts
deliberately undertaken with non-fatal outcome:
• Initiated behaviour (e.g. self-cutting, jumping from a height), which they intended to cause self-harm;
• Ingested a substance in excess of the prescribed or generally recognised therapeutic dose;
• Ingested a recreational or illicit drug that was an act that the person regarded as self-harm;
• Ingested a non-ingestible substance or object.
Judgements of self-harm were in no way dependent on
motives other than that the act in question appeared
deliberate. It was not possible to draw a clear distinction
between suicidal and non-suicidal self-harm from the sur-
vey data. Further information on the assessment of self-
harm is provided elsewhere [28].
Study participants were divided into four groups: ‘no
self-harm’ comprising all those who reported neither self-
harm behaviour meeting the study criteria nor thoughts of
self-harm, in the past year; ‘self-harm thoughts only’ with
self-harm thoughts but no episode of self-harm in the past
year; ‘single self-harm episode’ with one episode in the
previous year; and ‘multiple self-harm episodes’ with an
episode in the previous year as well as at least one other
earlier episode.
500 Eur Child Adolesc Psychiatry (2011) 20:499–508
123
Psychological characteristics
Four psychological scales were included. Anxiety and
depression symptoms were measured by the HADS scale
[49], which includes two 7-item subscales for anxiety and
depression, each scored between 0 and 21, where higher
scores indicated higher levels of anxiety and depression.
Self-esteem was measured using an eight-item abbreviated
version of the Robson [40] self-concept scale, with possible
scores between 8 and 32, and higher scores indicating more
positive self-esteem. A six-item impulsivity scale [37] led
to scores between 6 and 24 with higher scores indicating
greater impulsivity. Raw scores on these measures are used
in the analysis.
Life events
The questionnaire included 20 questions relating to nega-
tive life events in the past 12 months and/or more than a
year ago. For the purposes of analysis, these were reduced
to ten categories of lifetime experience. These were:
‘Difficulties with friends and peers’; ‘Problems with or
between parents’; ‘Serious illness of family or friend’;
‘Physical or sexual abuse’; ‘Suicide or self-harm of family
or friend’; ‘Death of someone close’; ‘Worries about sex-
ual orientation’; ‘Trouble with police’; ‘Bullied’; and
‘Problems with schoolwork’.
Data analysis
All analyses were undertaken for the sample as a whole,
and some analyses were carried out by gender and by
country. Chi-square tests were used to assess the statistical
significance of associations between pairs of categorical
variables such as self-harm history and gender. The
strength of these associations was measured by the Phi
statistic. In line with previous recommendations [9], asso-
ciations were considered very weak if Phi \0.10, weak if \0.30, moderate if \0.50 and strong if 0.50?.
Cronbach’s alpha was used to assess the internal con-
sistency of the scales employed to measure the psycho-
logical characteristics. These measures (depression,
anxiety, impulsivity, self-esteem) and the total number of
stressful life event categories experienced followed a nor-
mal distribution and were summarised by the mean and
standard deviation. Pearson’s correlation coefficient, r, was
used to assess the strength of the linear association between
the psychological measures, and the coefficient of deter-
mination, r2, was used to measure the information in one
measure that could be explained statistically by another.
Between-group comparisons of the psychological mea-
sures and the number of reported stressful life event cate-
gories were carried out using analysis of variance. The
effect size was measured using partial g2, and, following established guidelines [9], the effect size was considered
very small if partial g2 \ 0.01, small if \0.06, medium if \0.14 and large if 0.14?. Post hoc pairwise comparisons were based on Tukey’s honestly significant difference.
Multinomial logistic regression was used to assess the
associations between gender, age, country, psychological
characteristics and reported stressful life event categories
and self-harm history in the past year with a view to
identifying which factors distinguished between adoles-
cents reporting no self-harm, self-harm thoughts only, a
single self-harm episode and multiple self-harm episodes.
The dependent variable comparison group was the group
with no self-harm in the past year. Gender, age and
country were entered into the regression model as the first
block of independent variables. A forward stepwise
approach was adopted for the second block of indepen-
dent variables which contained each reported stressful life
event category, the total number of reported life event
categories and the psychological characteristics. Associa-
tions were reported as odds ratios with 95% confidence
intervals. Nagelkerke’s r2 was used as the estimate of the
proportion of variance explained by the derived regression
model. Wald tests were carried out to identify the factors
distinguishing adolescents with a single self-harm episode
from those with self-harm thoughts only and factors dis-
tinguishing between multiple- and single-episode self-
harmers.
Further multinomial logistic regression models were
estimated in which interaction terms (by country, by gender
and between the psychological measures) were considered
as a third block of factors for entry into the multivariate
regression model described previously. Change in Nage-
lkerke’s r2 was used to quantify the extent to which
interaction terms further distinguished between the four
self-harm history groups.
Results
Self-harm history in past year
Overall, 79.6% of the young people said they had not
experienced thoughts of self-harm in the past year, 14.6%
said they had thought about harming themselves but had
not done so, 2.6% reported single self-harm episodes in the
past year meeting the study criteria, and a further 3.2%
reported multiple episodes. Females were at least twice as
likely as males to report having thoughts of self-harm and
both single- and multiple-episodes of self-harm (Table 1).
While statistically significant at P \ 0.001, the strength of the association between self-harm history and gender was
weak (/ = 0.22).
Eur Child Adolesc Psychiatry (2011) 20:499–508 501
123
Some differences emerged between countries [see also
28]. The Netherlands, in particular, stood out as having low
rates of both thoughts and episodes of self-harm among
both males and females. Hungary also showed an inter-
esting pattern in that, compared with other countries, both
males and females were less likely to report no thoughts or
episodes of self-harm in the previous year, but more likely
to report self-harm thoughts only.
Psychological characteristics
The psychological measures had satisfactory levels of
internal consistency (Cronbach’s alpha: 0.69 for depres-
sion, 0.84 for anxiety, 0.75 for impulsivity and 0.90 for
self-esteem). All intercorrelations between depression,
anxiety, impulsivity and self-esteem were statistically sig-
nificant at P \ 0.001. There was only one strong correla- tion that was between depression and anxiety (Pearson’s
correlation coefficient, r = 0.52; r2 = 0.27). Depression
and anxiety were equally negatively correlated with self-
esteem (r = -0.45; r2 = 0.20). Other correlations were
weak, ranging in magnitude from 0.13 to 0.24
(r2 = 0.02–0.06), indicating that there was limited overlap
between the psychological measures.
There was no gender difference in relation to depression
(Table 1). Female scores were generally higher than male
scores on anxiety and impulsivity and lower on self-
esteem. However, the effect size was small for anxiety and
self-esteem and very small for impulsivity.
Depression, anxiety, impulsivity and self-esteem dif-
fered by country (P \ 0.001 in each case) with partial g2
ranging from 0.03 to 0.04 and indicating a small effect of
country on psychological measures. Mean scores ranged
from 3.6 in Ireland to 5.7 in Hungary for depression,
between 6.0 in Norway and 8.0 in England for anxiety,
between 13.2 in Belgium and 14.8 in Hungary for
impulsivity, and between 21.3 in Hungary and 23.3 in
Norway for self-esteem. Overall Hungarian adolescents
stood out as displaying the highest levels of psychological
difficulties, while Norwegian adolescents showed the
lowest levels.
Stressful life event categories
The reported stressful life event categories varied widely in
prevalence from 59.7% for the death of someone close
down to 5.7% for worries about sexual orientation. On
average, 3.6 categories were reported with female students
Table 1 Psychological characteristics, reported stressful life events and self-harm history in past year by gender
All Male Female P-value Partial g2
Mean (SD) Mean (SD) Mean (SD)
Psychological
characteristics
Depression 4.4 (3.3) 4.4 (3.3) 4.3 (3.3) Not sig. \0.01 Anxiety 6.9 (4.0) 6.1 (3.8) 7.8 (4.1) \0.001 0.04 Impulsivity 13.9 (2.9) 13.8 (2.9) 14.1 (2.9) \0.001 \0.01 Self-esteem 22.4 (3.9) 23.1 (3.8) 21.7 (4.0) \0.001 0.03
Life event category Number of life event categories 3.6 (2.1) 3.3 (2.0) 3.9 (2.1) \0.001 0.02 n (%) n (%) n (%) P-value /
Death of someone close 18203 (59.7%) 8776 (56.3%) 9427 (63.4%) \0.001 0.07 Problems with or between parents 16895 (55.4%) 7844 (50.2%) 9051 (60.8%) \0.001 0.11 Serious illness of family or friend 16753 (55.0%) 8232 (52.8%) 8521 (57.3%) \0.001 0.05 Difficulties with friends and peers 16284 (53.3%) 6999 (44.8%) 9285 (62.3%) \0.001 0.18 Problems with schoolwork 14414 (47.5%) 6943 (44.7%) 7471 (50.4%) \0.001 0.06 Suicide/self-harm of others 9279 (30.4%) 3369 (21.6%) 5910 (39.7%) \0.001 0.20 Bullied 6339 (20.9%) 2955 (19.0%) 3384 (22.9%) \0.001 0.05 Trouble with the police 5318 (17.5%) 3751 (24.2%) 1567 (10.6%) \0.001 0.18 Physical or sexual abuse 3164 (10.4%) 1258 (8.0%) 1906 (12.8%) \0.001 0.08 Worries about sexual orientation 1737 (5.7%) 746 (4.8%) 991 (6.7%) \0.001 0.04
Self-harm history No self-harm 23038 (79.6%) 13020 (88.1%) 10018 (70.7%) \0.001 0.22 Self-harm thoughts only 4237 (14.6%) 1365 (9.2%) 2872 (20.3%)
Single self-harm episode 752 (2.6%) 179 (1.2%) 573 (4.0%)
Multiple self-harm episodes 912 (3.2%) 212 (1.4%) 700 (4.9%)
Effect size measured by partial g2 was very small if \0.01, small if \0.06, medium if \0.14 or large if 0.14? Association measured by / was very weak if \0.10, weak if \0.30, moderate if \0.50 and strong if 0.50?
502 Eur Child Adolesc Psychiatry (2011) 20:499–508
123
reporting a higher number than male students. The preva-
lence of each life event category differed by gender at
P \ 0.001. For all but one stressful life event category (trouble with the police), the prevalence was higher among
female students. However, the strength of the association
between prevalence of stressful life events and gender was
weak or very weak (range of Phi statistic = 0.04–0.20).
The prevalence of each stressful life event category varied
by country (all at P \ 0.001), but the strength of all associations was weak or very weak.
Psychological characteristics and self-harm history
in past year
There were highly statistically significant differences
(P \ 0.001) between the self-harm history groups on each of the psychological characteristics (Table 2). The effect
size was small in relation to impulsivity and medium in
relation to depression, anxiety and self-esteem. There was
evidence of a dose–response or graded relationship
whereby the more severe the self-harm history, the higher
the levels of depression, anxiety and impulsivity and the
lower the level of self-esteem. All pairwise comparisons
among the four self-harm history groups differed signifi-
cantly at P \ 0.001 with three exceptions. The self-harm thoughts only group and the single self-harm episode group
did not differ significantly in relation to depression
(P = 0.131) and self-esteem (P = 0.477) and only differed
marginally in relation to anxiety (P = 0.012).
Figure 1 illustrates the consistency of the dose–
response association between the four psychological
characteristics and self-harm history when examined for
each of the seven countries. The stepped increase in
depression, anxiety and impulsivity and decrease in self-
esteem was evident with increasing self-harm history.
However, in most countries, there was limited or no
difference in level of depression, anxiety and self-esteem
between the adolescents who only thought of self-harm-
ing but did not act and those who engaged in a single
self-harm episode. There was no evidence of gender
modifying the association between the psychological
measures and self-harm history.
Stressful life event categories and self-harm history
in past year
There were highly statistically significant (P \ 0.001) asso- ciations between the reporting of each life event category and
self-harm history in the past year (Table 3). In every case, the
prevalence increased across the groups with increasing self-
harm history. The life event category most strongly related to
self-harm history was experiencing the suicide or self-harm of
others followed by physical or sexual abuse, difficulties with
friends or peers and problems with or between parents. There
was also evidence of a strong dose–response relationship as
the average number of event categories reported varied from
3.1 for adolescents with no self-harm in the past year to 4.8 for
those with self-harm thoughts only to 5.5 for those with a
single self-harm episode and 6.2 for multiple self-harmers.
Figure 1 illustrates this dose–response association.
Gender modified the association between three of the life
event categories (death of someone close (P = 0.001), bullied
(P = 0.013) and worries about sexual orientation (P \ 0.001)) and self-harm history. Country modified the association
between six of the life event categories (difficulties with
friends and peers (P = 0.002), problems with schoolwork
(P = 0.025), suicide/self-harm of others (P \ 0.001), bullied (P \ 0.001), physical or sexual abuse (P \ 0.001) and worries about sexual orientation (P \ 0.001)) and self-harm history. However, none of these interaction effects explained more than
an additional 0.2% of the variation in self-harm history.
Independent associations between gender,
psychological characteristics and stressful life event
categories and self-harm history in past year
Table 4 details the results of the multivariate multinomial
logistic regression analysis carried out to identify the fac-
tors independently distinguishing between adolescents in
the four self-harm history groups. The derived regression
Table 2 Psychological characteristics by self-harm history in past year
No self-harm
Mean (SD)
Self-harm thoughts only
Mean (SD)
Single self-harm episode
Mean (SD)
Multiple self-harm episodes
Mean (SD)
P-value Partial g2
Depression 3.9 (3.0) 5.6 (3.3) 5.9 (3.6) 7.4 (4.2) \0.001 0.08 Anxiety 6.1 (3.7) 9.5 (3.8) 9.9 (4.1) 11.4 (4.2) \0.001 0.11 Impulsivity 13.6 (2.8) 14.8 (3.0) 15.3 (3.1) 15.9 (3.2) \0.001 0.04 Self-esteem 23.1 (3.7) 20.3 (3.7) 20.1 (4.0) 18.4 (4.2) \0.001 0.09
Effect size measured by partial g2 was very small if \0.01, small if \0.06, medium if \0.14 or large if 0.14? All pairwise comparisons among the four self-harm history groups differed significantly at P \ 0.001 with the exception of the comparison between the self-harm thoughts only group and the single self-harm episode group in relation to depression (P = 0.131), anxiety (P = 0.012) and self-esteem (P = 0.477)
Eur Child Adolesc Psychiatry (2011) 20:499–508 503
123
model explained 37.7% of the variation in self-harm his-
tory. Some interactions between the psychological mea-
sures with gender and with country reached statistical
significance but they contributed very little (0.2–0.8%) to
explaining variation in self-harm history.
Female gender strongly distinguished self-harm ideators
and single and multiple self-harmers from those with no
self-harm history. Female gender also distinguished ado-
lescents with a single self-harm episode from those with
self-harm thoughts only (P \ 0.001) but did not distinguish between single and multiple self-harmers (P = 0.523).
Each of the four psychological characteristics independently
contributed to distinguishing between the self-harm groups.
Only impulsivity distinguished single-episode self-harmers
from self-harm ideators (P = 0.005), whereas self-esteem
(P \ 0.001) and depression (P = 0.002) differentiated multi- ple self-harmers from those with a single episode.
All but one (death of someone close) of the ten stressful life
event categories was independently associated with self-harm
history (Table 4). Experience of the suicide/self-harm of
others strongly distinguished adolescents with a single self-
harm episode from those with self-harm thoughts only
(P \ 0.001) and also distinguished multiple- from single- episode self-harmers (P = 0.015). Physical or sexual abuse
(P \ 0.001) and to a lesser extent worries about sexual ori- entation (P = 0.017) differentiated between adolescents with
a single self-harm episode from those with self-harm thoughts
only, while trouble with the police was associated with mul-
tiple self-harmers more than it was with single-episode self-
harmers (P = 0.019).
0
1
2
3
4
5
6
7
8
9
10
No self-harm Self-harm thoughts only Single self-harm episode
Multiple self-harm episodes
D e p re
ss io
n s
co re
Hungary
England
Ireland
Australia
Netherlands
Belgium
Norway
0
2
4
6
8
10
12
14
No self-harm Self-harm thoughts only Single self-harm episode
Multiple self-harm episodes
A n xi
e ty
s co
re
Hungary
England
Ireland
Australia
Netherlands
Belgium
Norway
0
2
4
6
8
10
12
14
16
18
No self-harm Self-harm thoughts only Single self-harm episode
Multiple self-harm episodes
Im p
u ls
iv ity
s co
re
Hungary
England
Ireland
Australia
Netherlands
Belgium
Norway
0
2
4
6
8
10
12
14
16
18
20
22
24
26
No self-harm Self-harm thoughts only Single self-harm episode
Multiple self-harm episodes
S e
lf e
st e
e m
s co
re
Hungary
England
Ireland
Australia
Netherlands
Belgium
Norway
0
1
2
3
4
5
6
7
No self-harm Self-harm thoughts only Single self-harm episode
Multiple self-harm episodes
N u
m b
e r
o f
st re
ss fu
l l ife
e ve
n t
Hungary
England
Ireland
Australia
Netherlands
Belgium
Norway
ca te
g o
ri e
s e
xp e
ri e
n ce
d
Fig. 1 Mean depression, anxiety, impulsivity, self-esteem scores and mean number of stressful life event categories by self-harm history in past year for each country
504 Eur Child Adolesc Psychiatry (2011) 20:499–508
123
Discussion
An earlier paper from the CASE Study [28] addressed
socio-demographic and self-harm characteristics for the
same school-based sample of adolescents. Here, we have
focused in more depth on psychological characteristics and
stressful life events. In particular, we have reported evi-
dence for a dose–response relationship whereby increased
severity of self-harm history was, in general, associated
with higher levels of depression, anxiety and impulsivity
and lower levels of self-esteem, as well as stressful life
events in more areas of young people’s lives. These pat-
terns were consistent across gender and country.
A particularly interesting finding is that thoughts of self-
harm were not always distinguishable from a single self-
harm episode in terms of association with psychological
characteristics and stressful life events. It emerged, how-
ever, that impulsivity and experiencing the suicide or self-
harm of others, physical or sexual abuse and worries about
sexual orientation were the only factors that independently
differentiated single-episode self-harmers from adolescents
with self-harm thoughts only. That few factors distin-
guished between ideators and self-harmers is important for
future research and for prevention. The findings are also in
line with a recently presented model of suicidal behaviour
which maps the relationship between background factors
and trigger events, and the development of suicidal idea-
tion/intent through to suicidal behaviour [34].
The strong associations between psychological charac-
teristics and self-harm on the one hand and stressful life
events and self-harm on the other raise the question of the
associations between psychological health, stressful life
events and self-harm, and the relative significance of each
set of factors. Multivariate models were constructed to
investigate this study objective. Despite some specific
differences, the effects of psychological characteristics and
stressful life events remained significant within the popu-
lation overall and continued to remain significant when
gender and country were considered separately. Our find-
ings of independent associations between four psycholog-
ical characteristics and nine life event categories with
self-harm history support the conclusion of a systematic
review showing that a wide range of factors is linked with
self-harm behaviour [14]. It also confirms the heterogeneity
of young self-harmers among community samples, with
differing frequencies of self-harm and varying levels of
associated difficulties [43].
In any event, it would seem unlikely that a single chain
of events links life events, psychological health and
deliberate self-harm. On the one hand, it is clear that stress
can precede mental health difficulties [36, 38]. On the
other, however, it is apparent that depression can trigger
psychosocial difficulties through poor interpersonal func-
tioning and impaired relationships [42] and that self-harm
or suicidal behaviour may follow life stress in the absence
of depression and hopelessness [2, 29]. Furthermore, self-
harm itself may act as a trigger for depression [17].
Some differences between countries were found. There
was, for instance, some variation in levels of self-harm
behaviour as well as differences in psychological
Table 3 Prevalence of stressful life event categories by self-harm history in past year
No self-harm Self-harm thoughts only Single self-harm
episode
Multiple self-harm
episodes
/a
n (%) n (%) n (%) n (%)
Death of someone close 13249 (57.5%) 2778 (65.6%) 519 (69.7%) 677 (74.2%) 0.09
Problems with or between parents 11263 (49.0%) 3179 (75.2%) 623 (83.2%) 792 (87.3%) 0.24
Serious illness of family or friend 11716 (51.0%) 2838 (67.1%) 520 (69.8%) 685 (75.5%) 0.15
Difficulties with friends and peers 10739 (46.7%) 3180 (75.1%) 599 (79.7%) 776 (85.2%) 0.25
Problems with schoolwork 9573 (41.8%) 2716 (64.7%) 531 (71.5%) 694 (76.5%) 0.21
Suicide/self-harm of others 5281 (22.9%) 2108 (49.8%) 525 (69.9%) 722 (79.3%) 0.32
Bullied 4059 (17.8%) 1267 (30.2%) 263 (35.3%) 394 (43.9%) 0.16
Trouble with the police 3546 (15.5%) 831 (19.7%) 191 (25.7%) 314 (34.6%) 0.10
Physical or sexual abuse 1474 (6.4%) 808 (19.1%) 233 (31.0%) 352 (38.7%) 0.26
Worries about sexual orientation 882 (3.8%) 428 (10.2%) 120 (16.0%) 182 (20.2%) 0.17
Number of life event categories b
3.1 (1.9) 4.8 (1.9) 5.5 (1.9) 6.2 (1.8) 0.16
All associations statistically significant at P \ 0.001 a
Association measured by Phi was very weak if \0.10, weak if \0.30, moderate if \0.50 and strong if 0.50? b
Mean (standard deviation) reported with partial g2 as the effect size measure. Effect size measured by partial g2 was very small if \0.01, small if \0.06, medium if \0.14 or large if 0.14?. All post hoc pairwise comparisons among the four self-harm history groups were statistically significant at P \ 0.001
Eur Child Adolesc Psychiatry (2011) 20:499–508 505
123
T a
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ic
506 Eur Child Adolesc Psychiatry (2011) 20:499–508
123
characteristics: in this latter respect, Hungarian young peo-
ple reported the highest levels of difficulty, while Norwe-
gians reported the lowest. Despite these differences,
however, the dose–response relationships between psycho-
logical characteristics and history of self-harm, and between
stressful life events and self-harm, were maintained in all
countries. This suggests the universality of the findings.
These findings underline the complexity involved in
specifying the precursors of self-harm among the young.
Although both psychological characteristics and negative
life events are associated with increased levels of self-harm
within the population of young people as a whole, varying
constellations of interrelated factors contribute to individ-
ual risk. Recent research on identifying subgroups of young
self-harmers [43] appears promising, and it is suggested
that knowledge on the aetiology of deliberate self-harm
may develop best in the context of further large-scale
longitudinal research that can look at distinct groups of
young self-harmers over time.
The strengths of this study are its large representative
school-based sample, the clear definition of self-harm and
the standardised methodology used across seven countries.
Whilst we relied on retrospective self-reported information,
and thus were unable to look conclusively at temporal
associations, most of our findings have relied on episodes
of self-harm reported for the previous year, rather than over
the lifetime, to increase accuracy. The cross-sectional
nature of the study, nonetheless, implies that the nature of
the relationships between self-harm, psychological char-
acteristics and life events that we have identified cannot be
assumed to be causal. Additionally, there may have been
other potentially relevant factors, such as substance or
alcohol abuse, that we do not consider. A further limitation
of the study is that we cannot guarantee the representative
nature of all national samples despite attempts to ensure
this was the case. Treatment of life events presents another
possible methodological difficulty in that categories of
stressful events cannot be equated or added. Nonetheless,
the fact that all but one stressful life event category showed
statistically significant associations with a history of self-
harm increases our confidence in the validity of these
measures. Further research exploring the impact of differ-
ent life events, and taking account of severity, occurrence
and timing, could throw more light on this issue.
In clinical terms, the evidence for a dose–response
relationship linking both psychological characteristics and
negative life events with the frequency of self-harm
underlines the need for positive mental health promotion
and early identification of adolescents at risk of self-harm
[24, 33]. Similarities found between adolescents who have
merely thought about harming themselves, and those
reporting a single episode, suggest the salience of taking
intentions as well as behaviour into account.
Conclusion
There is no single pattern of self-harm among young
people, but both psychological characteristics and stressful
life events substantially increase risk. Those developing
prevention and intervention programmes must remain
‘open minded’ to patient characteristics and not neglect
either those who have only thought of harming themselves
or, despite current practice [45], those who do not have
evident signs of depression or mental illness.
Acknowledgments The authors thank the European Commission Daphne Programme for providing funding for the coordination of this
research, as well as the Community Fund in England, the Irish
National Suicide Review Group, the National Office for Suicide
Prevention and the Ireland Funds, QLD-Health and the Common-
wealth of Australia, Department of Health and Ageing, and the
Norwegian Foundation for Health and Rehabilitation, for funding
national studies. We also acknowledge colleagues in the national
centres who contributed to the work undertaken, including Udo
Reulbach and Tony Fitzgerald for statistical advice, and pupils and
schools that participated in the study.
Conflict of interest The authors declare that they have no conflict of interest.
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- c.787_2011_Article_210.pdf
- Psychological characteristics, stressful life events and deliberate self-harm: findings from the Child & Adolescent Self-harm in Europe (CASE) Study
- Abstract
- Background
- Methods
- The CASE Study
- Measures
- Self-harm
- Psychological characteristics
- Life events
- Data analysis
- Results
- Self-harm history in past year
- Psychological characteristics
- Stressful life event categories
- Psychological characteristics and self-harm history in past year
- Stressful life event categories and self-harm history in past year
- Independent associations between gender, psychological characteristics and stressful life event categories and self-harm history in past year
- Discussion
- Conclusion
- Acknowledgments
- References