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Sexual Orientation and Non-Suicidal SelfInj ury: A Meta-Analytic Review
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Krist en L. Bat ej an , St ephanie M. Jarvi & Lance P. Swenson
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To cite this article: Krist en L. Bat ej an, St ephanie M. Jarvi & Lance P. Swenson (2015) Sexual
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Archives of Suicide Research, 19:131–150, 2015
Copyright # International Academy for Suicide Research
ISSN: 1381-1118 print=1543-6136 online
DOI: 10.1080/13811118.2014.957450
Sexual Orientation and
Non-Suicidal Self-Injury:
A Meta-Analytic Review
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Kristen L. Batejan, Stephanie M. Jarvi, and Lance P. Swenson
The aim of this study was to conduct the first meta-analysis comparing risk for NSSI
between sexual minority and heterosexual persons. Eleven published and 4 unpublished
studies were reviewed, describing associations between sexual orientation and NSSI in
7,147 sexual minority and 61,701 heterosexual participants. The overall weighted effect
size for the relationship between sexual orientation and NSSI using a random-effects
model was OR ¼ 3.00 (95% CI ¼ 2.46–3.66), indicating a medium-to-large effect.
Sexual minority adolescents and bisexuals were found to be at particularly high-risk.
These findings highlight the need to examine mechanisms linking sexual orientation
and NSSI in future research. Building on these findings can add to understanding
the associations between sexual orientation, NSSI, and suicidality, as well as
prevention=intervention.
Keywords
LGBQ, meta-analysis, non-suicidal self-injury, NSSI, sexual orientation
of minority groups (e.g., non-heterosexual
individuals) compared to majority populations (e.g., heterosexual individuals) as
resulting from the chronic and excessive
stress of institutionalized prejudice and
stigmatization (Meyer, 1995, 2003). That is,
the pervasive stressors, homophobia, and
marginalization sexual minorities are faced
with may increase their risk of engaging in
suicidal behaviors.
The larger domain of self-injurious
thoughts and behaviors includes both
suicidal and non-suicidal behaviors (Nock
& Favazza, 2009). Suicidality and nonsuicidal self-injury (NSSI) include acts of
self-injury; however, the underlying
motivations or reasons for the acts are quite
different. Specifically, suicidal thoughts or
behaviors include some intent to die or end
one’s life, whereas NSSI involves the direct,
deliberate destruction of one’s body tissue in
For more than 2 decades a fairly large body
of research has examined risk for suicidal
ideation and attempts among sexual minority individuals (i.e., identifying as nonheterosexual). Two recent meta-analyses,
one focused on adults (King et al., 2008)
and the other specific to adolescents
(Marshal et al., 2011), provide the most
conclusive evidence to date indicating that
sexual minority individuals are at elevated
risk for experiencing suicidal thoughts and
attempted suicide compared to heterosexual individuals. These findings are consistent with minority stress theory, which
explains the increased risk for adverse
mental health outcomes among members
Color versions of one or more of the figures in
the article can be found online at www.tandfonline.
com/usui.
131
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Sexual Orientation and NSSI
the absence of suicidal intent (Nock &
Favazza, 2009). Due to the overlap in prevalence of NSSI and suicidality (e.g., Garrison
et al., 1993; Muehlenkamp & Gutierrez,
2004, 2007) and the previously identified
risk of suicidality among sexual minority
persons, it is likely that this population is
also at higher risk for engaging in NSSI.
To date, risk for NSSI among sexual minority persons has not been systematically
examined.
The goal of the current research is
to conduct the first meta-analysis of the
emerging literature comparing risk for
NSSI between sexual minority and heterosexual persons. We begin by providing
a brief explanation of minority stress
theory and related findings concerning
minority stress and mental health outcomes
among sexual minority populations. Next
we discuss two recent quantitative reviews
of the research on links between sexual
orientation and suicidality, followed by an
overview of NSSI and reasons to suspect
sexual minorities may evidence increased
risk for engaging in NSSI compared to
heterosexual populations.
Minority Stress Theory and Sexual
Minority Mental Health
Numerous studies have outlined
lesbian, gay, bisexual, and questioning=
queer (LGBQ) individuals’ increased risk
for mental health problems compared to
heterosexual populations. For example,
LGBQ adolescents and young adults were
found to be between 2.8 and 5.9 times
more likely to experience major depression,
generalized anxiety disorder, conduct disorder, and comorbid disorders compared
to heterosexual adolescents and young
adults (Fergusson, Horwood, & Beautrais,
1999). A meta-analysis by King et al. (2008)
found LGB individuals (this study focused
solely on lesbian, gay, and bisexual individuals) were one and a half times more likely
132
to have depression, anxiety, and alcohol=
other substance abuse=dependence than
heterosexual individuals. Consistent with
LGBQ adults, LGBQ youth are at increased
risk for mood disorders and substance
abuse=dependence compared to heterosexual youth (Marshal et al., 2011).
Minority stress theory suggests that
conflict in the social environment develops
when there are differences in values between
a minority group (i.e., sexual minority
[LGBQ] individuals) and the dominant group
(i.e., heterosexual individuals; Meyer, 1995,
2003). According to this theory, LGBQ individuals commonly experience internalized
homophobia (negative attitudes about being
LGBQ directed at the self), perceived stigma
(expectation that society will stigmatize
LGBQ individuals), and events of discrimination=violence=prejudice. Internalized
homophobia and perceived stigma are
thoughts and behaviors experienced by the
LGBQ individual, whereas discrimination
and prejudice are overt and egregious acts
inflicted upon the LGBQ individual by
society. Per minority stress theory, it is the
combination of these three stressors that
contributes to the psychological distress
experienced by LGBQ individuals (Meyer,
1995, 2003). In illustration of this point,
themes of minority-related stress emerged in
a review of Youth Risk Behavior Surveys
conducted in the United States (Bagley &
Tremblay, 2000) finding LGB youth to be
more likely than heterosexual youth to have
been threatened or beaten, to feel unsafe
at school, and to be heavy drug or alcohol
users. These combined factors place LGB
youth at a substantial and increased risk for
suicidal behavior (Bagley & Tremblay,
2000). In another study, 70% of LGB
adolescents admitted to feeling suicidal at
least partly related to their sexual orientation;
specifically males were more likely to endorse
difficulties associated with their sexual
orientation as a reason for wanting to be dead
compared to females (D’Augelli, Hershberger,
& Pilkington, 2001).
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Sexual Minority Orientation and
Suicidality
Suicide is the tenth leading cause of
death in the United States, accounting for
1.5% of all deaths in 2009, and the third
leading cause of death among young people
aged 15–24 (McIntosh, 2012). As mentioned previously, Marshal and colleagues’
(2011) meta-analysis examined both suicidality and depression among sexual minority
and heterosexual adolescents. Their term,
sexual minority youth (SMY), intended to
capture all facets of the term: attraction,
behavior, and identity. Nineteen studies
examining suicide between SMY and
heterosexual youth were identified (N ¼
122,955). Twenty-eight percent of SMY
reported a history of suicidality compared
to 12% of heterosexual youth; SMY were
found to have nearly three times the risk
for suicidal thoughts and=or behavior compared to heterosexual youth (OR ¼ 2.92;
Marshal et al., 2011, p. 117). The increased
risk was not equivalent across sexual
orientations; bisexual youth in particular
demonstrated the greatest risk for suicidality
compared to heterosexual youth (OR ¼
4.92). In sum, results of this review indicated
that SMY experienced significantly higher
suicidality (i.e., suicidal ideation, suicidal
plans, suicide attempts, lethal suicide
attempts) than heterosexual youth. Marshal
and colleague’s review (2011) discussed the
stressors SMY face, such as negative
responses to gender atypical behavior, highrisk sexual behavior, conflicts related to
‘‘coming out’’ at home=school, and subsequent consequences of ‘‘coming out’’
(i.e., bullying; Rivers, 2002) as minority-stress
related factors potentially explaining the
observed increased risk for SMY suicidality.
The second meta-analysis to examine
sexual orientation and suicidality focused
specifically on mental illness, suicide, and
deliberate self-harm (DSH) between LGB
and heterosexual populations (King et al.,
2008). DSH is an intentional injury inflicted
by the individual; however, the intent of the
injury (i.e., suicidal or non-suicidal) is not
typically queried or assumed, and therefore
NSSI and suicide attempts are often combined. Seventeen studies were identified that
incorporated DSH, suicide attempts, and=or
suicidal ideation. Consistent with the findings observed for SMY (Marshall et al.,
2011), LGB individuals were found to be
at higher risk for suicidal behaviors, DSH,
and suicidal ideation than heterosexual individuals. However, risk was not uniform. Evidence suggested that lesbian and bisexual
women were at particular risk for recent=
current suicidal ideation. Gay and bisexual
men, on the other hand, were particularly
more likely to have attempted suicide at
some point in their lives (King et al., 2008).
Cumulatively, it is evident from these
meta-analyses that LGBQ adolescents and
adults are at an increased risk for suicidality.
Non-Suicidal Self-Injury
Research suggests that NSSI is more
prevalent among adolescents and young
adults than in older adult samples (Jacobson
& Gould, 2007). Typically, the average age
of onset of NSSI in community and clinical
samples is estimated between 12 and 14
years of age (Glenn & Klonsky, 2009;
Jacobson & Gould, 2007; Muehlenkamp
& Gutierrez, 2004, 2007; Ross & Heath,
2002; Swannell, Martin, Scott, Gibbons, &
Gifford, 2008). Rates are typically low
in the general adult population (e.g., 4%;
Briere & Gil, 1998) and high among adults
diagnosed with borderline personality
disorder (e.g., 90%; Zanarini et al., 2006).
Examining NSSI in college samples has
yielded prevalence rates around 25%
(Glenn & Klonsky, 2010; Klonsky &
Olino, 2008; Whitlock, Eckenrode, &
Silverman, 2006; Whitlock et al., 2011).
Observed rates of lifetime NSSI among
adolescent samples have ranged from
2.5% to 46.5% in community samples
ARCHIVES OF SUICIDE RESEARCH
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Sexual Orientation and NSSI
(Garrison et al., 1993; Hilt, Nock, LloydRichardson, & Prinstein, 2008; LloydRichardson, Perrine, Dierker, & Kelley,
2007; Muehlenkamp, Claes, Havertape, &
Plener, 2012; Muehlenkamp & Gutierrez,
2004, 2007; Ross & Heath, 2002; Zoroglu
et al., 2003) to 13% to 82.4% in inpatient
samples (Boxer, 2010; Darche, 1990;
DiClemente, Ponton, & Hartley, 1991;
Jacobson, Muehlenkamp, Miller, & Turner,
2008; Nock & Prinstein, 2004).
One theoretical model for understanding the motivations for NSSI is consideration of a functional approach to NSSI.
This approach considers antecedents and
consequences of NSSI, allowing for a
greater understanding of the psychosocial
correlates associated with NSSI (e.g.,
anxiety, depression, anger; Nock, 2009;
Nock & Cha, 2009; Nock & Prinstein,
2004, 2005). Nock and Prinstein’s (2004,
2005) four-function model conceptualizes
engagement in NSSI for automatic and=
or social reinforcement. Specifically, the
model describes NSSI based on automatic
positive (e.g., generate feeling) or negative
(e.g., escape from aversive affective=cognitive state) reinforcement and=or social
positive (e.g., access to help=attention) or
negative (e.g., removal of an interpersonal
demand) reinforcement. The four-function
model has contributed to the field’s understanding of the development and maintenance of NSSI.
While relations between sexual orientation and NSSI are largely understudied,
several recent studies have qualitatively
examined LGBQ individuals’ endorsement
of NSSI and their understanding of the
behaviors’ functions. For example, many
lesbian and bisexual women describe
engaging in NSSI for automatic and social
reasons typically endorsed among heterosexual populations (e.g., childhood negative=
traumatic experiences, suppression of
painful emotions; Alexander & Clare, 2004).
However, some experiences discussed were
specific to lesbian and bisexual women,
134
including ‘‘feeling different’’ (i.e., not conforming to society’s notions of gender
expectations). These women also described
being bullied=teased, feelings of self-hatred=
self-loathing, and feelings of shame=
confusion as a result of feeling different.
Interestingly, NSSI engagement contributed
to their sense of feeling different over
and above their minority-related stressors
(Alexander & Clare, 2004). These findings
were largely replicated in a similar qualitative study of LGBQ young adults’ selfdestructive behaviors, including NSSI
(McDermott, Roen, & Scourfield, 2008).
CURRENT STUDY
It is evident that suicidality is a prevalent
problem in LGBQ individuals (King et al.,
2008; Marshal et al., 2011). Given this evidence, and the overlap in rates of NSSI and
suicidality (Garrison et al., 1993; Muehlenkamp & Gutierrez, 2004, 2007), it is also
likely that LGBQ individuals engage in
NSSI at higher rates than heterosexual individuals. The current meta-analysis offers
a quantitative summary of the emerging
literature comparing risk for NSSI between
sexual minority and heterosexual persons.
METHOD
Literature Search
Four inclusion criteria were set for the
reports included in this meta-analytic
review: (1) the study assessed NSSI in both
sexual minority and heterosexual participants, (2) the assessment of NSSI
described NSSI as a physically damaging
act intended to cause harm, without suicidal reasons=motives (i.e., differentiated
NSSI from suicidal thoughts=behaviors
and from DSH), (3) adequate data for computing an effect size could be extracted
from the report or from the author(s) of
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K. L. Batejan, S. M. Jarvi, and L. P. Swenson
the report, and (4) the report was written in
English.
Four systematic search strategies were
employed to discover all pertinent studies
published or presented through July 2012
(see Figure 1 for results). First, keywords
were entered into four electronic databases:
PsycINFO, Medline, SocINDEX, and
ERIC. This search included a total of 83
NSSI keywords (e.g., NSSI, self-injury)
and 36 sexual orientation keywords (e.g.,
gay, queer; see Appendix A for complete
list of keywords). Second, the reference
sections of the identified manuscripts
meeting the inclusion criteria described
above were examined for additional relevant studies. Third, forward searching
FIGURE 1. Flowchart describing the identification and
screening of studies.
via the Web of Science Cited Reference
Index was utilized to detect additional studies that cited the included reports. Finally,
experts in the NSSI field were contacted
for access to unpublished data (e.g., conference presentations, manuscripts in press or
not yet submitted for publication).
Screening for Eligible Studies
A total of 492 abstracts that included at
least one NSSI term and one sexual orientation term were identified through the
electronic database searches. Two trained
members of the research team reviewed
the studies’ abstracts (the first author
reviewed all identified abstracts). Full-text
copies of manuscripts were obtained for
further evaluation if either reviewer identified an abstract as potentially relevant.
Four hundred forty one studies (89.6%
of identified abstracts) were excluded based
on (a) terminology inconsistent with the
aims of this research (e.g., use of the term
‘‘cutting edge’’ that did not relate to NSSI),
(b) foreign language, (c) conceptual papers
lacking data, (d) assessments conflating suicidality and NSSI or failing to assess intent
(e.g., DSH), and one meta-analytic review
(King et al., 2008) (see Figure 1). Fifty-one
studies that included at least one sexual
orientation term and at least one NSSI
term were identified for further review.
Of these, 50 manuscripts were examined
further (one dissertation could not be
retrieved; Stevens, 2006).
The next step entailed systematically
reviewing the methods and results section
of the articles (i.e., the 50 studies identified
in the previous step). At this stage, 39 studies were excluded based on the following:
(a) intent of behavior was unclear or the
NSSI term included both non-suicidal and
suicidal behaviors (18 studies), (b) the NSSI
term described a suicide attempt (4 studies), (c) the report described a qualitative
study lacking numerical data (6 studies),
(d) the self-destructive behavior described
ARCHIVES OF SUICIDE RESEARCH
135
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Sexual Orientation and NSSI
was not consistent with NSSI (e.g., eating
disorders, poor hygiene; 4 studies), (e) no
NSSI-related data available for LGBQ participants specifically (3 studies), and (f), no
heterosexual comparison group (4 studies).
Next, we used reference chasing to
examine the reference sections of the 11
identified manuscripts, which yielded one
additional study (Oswalt & Wyatt, 2011).
Forward searching was then employed
and two additional studies were identified
(Gollust, Eisenberg, & Golberstein, 2008;
Wilcox et al., 2012). Finally, three unpublished studies were included after presentations of relevant data at an international
self-injury conference (Muehlenkamp,
Swenson, Jarvi, & Batejan, 2012; Silva,
Monahan, Hagan, & Joiner, 2012) and contact with experts in NSSI (Wester, 2012).
This left a total of 17 reports describing
15 studies involving original data. The
article by Whitlock et al. (2006) included
the same dataset presented in Whitlock
and Knox (2007) and was treated as
a single study in this meta-analytic review.
Similarly, the article by Balsam, Lehavot,
and Beadnell (2011) reported on a dataset
previously included in Balsam, Beauchaine,
Mickey, and Rothblum (2005) and was
treated as a single study in this meta-analysis.
Data Extraction and Analysis
A rating system was prepared and
revised several times throughout the data
extraction. Variables coded included study
year, first author, country, participant composition, NSSI assessment strategy, NSSI
timeframe, sexual orientation assessment
strategy, and prevalence of NSSI by sexual
orientation designation. Table 1 presents
the study-level data extracted from each
report for use in the present analyses.
The NSSI outcome variables were
categorical (i.e., present or absent), and
the meta-analytic results were reported
using an odds ratio (OR) effect size metric
136
calculated using equations provided by
Lipsey and Wilson (2001). Data on specific
NSSI behaviors were generally lacking;
therefore, these meta-analyses focused on
presence=absence of NSSI. Effect sizes
were combined using weighted random
effects analyses (e.g., Borenstein, Hedges, &
Rothstein, 2007; Hedges & Vevea, 1998;
Lipsey & Wilson, 2001). Specifically, individual study effects were weighted by the inverse
of its variance, which included the original
within-study variance plus the betweenstudies variance tau-squared (Borenstein
et al., 2007). However, power for these
analyses was limited (i.e., k ¼ 15). Therefore, for comparison purposes the primary
analyses also included weighted effect sizes
combined using fixed effects models.
The data analysis proceeded in several
steps. First, the overall effect was calculated. In this analysis each study contributed one effect. For studies reporting
multiple effects, preference was given to
lifetime estimates over past-year estimates
(e.g., Oswalt & Wyatt, 2011; see Table 1)
and to self-reported sexual orientation over
behavioral indices (i.e., Chakraborty,
McManus, Brugha, Bebbington, & King,
2011). This analysis involved comparing
NSSI among sexual minority participants
to heterosexual participants. For studies
that reported on distinct sexual orientation
populations (e.g., lesbians, bisexuals; e.g.,
Kokaliari, 2005), prevalence was calculated
for the sexual minority participants as a
whole prior to meta-analyses.
Second, methodological characteristics
were tested as moderators of the overall
effect by estimating Qbetween, using procedures analogous to analysis of variance
(Lispey & Wilson, 2001; see also Card,
Stucky, Sawalani, & Little, 2008). A significant Qbetween indicates moderation of the
overall effect. For these analyses five methodological characteristics were examined:
publication status (i.e., published, unpublished), publication date (i.e., 2005–2010,
2011–2012), NSSI assessment timeframe
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TABLE 1. Descriptive Statistics and Study Characteristics for Studies That Examined Non-Suicidal Self-Injury (NSSI) among Heterosexual and Sexual
Minority (SM) Participants
Study
Publication
status
(1) Bakken & Gunter (2012) Published
Sample
Sexual
NSSI
orientation
timeframe assessment
Sexual
orientation
designation
NSM
%
%
endorsing
endorsing
NSSI
NHeterosexual
NSSI
Community Adolescents
Past Year
Orientation
SM
501
43%
6825
11%
ARCHIVES OF SUICIDE RESEARCH
(2) Balsam Beauchaine,
Mickey et al. (2005;
see also Balsam,
Lehavot, &
Beadnell, 2011)
Published
Community Adults
Lifetime
Orientation
SM
Gay=Lesbian
Bisexual
721
558
163
25%
21%
39%
533
13%
(3) Chakraborty,
McManus,
Brugha (2011)1
Published
Community Adults
Lifetime
Orientation
Behaviors
SM
SM
650
667
9%
10%
6811
6794
5%
4%
(4) Deliberto &
Nock (2008)
Published
Adolescents (Community &
Outpatient
Treatment-Seeking)
Lifetime
Orientation
SM
24
88%
70
61%
(5) Gollust, Eisenberg, &
Golberstein (2008)
Published
College Students (Undergraduate Past Month Orientation
& Graduate)
15%
16%
14%
2,621
8%
(6) Kidd, Wite, &
Johnson (2012)
Published
Community Adolescents
Past Year
Orientation
SM
89
33%
800
8%
(7) Kokaliari (2005)
Dissertation
College Students
Lifetime
Orientation
SM
Lesbian
Bisexual
Questioning
47
13
25
9
75%
92%
60%
89%
114
47%
SM
Bisexual
Gay=Lesbian=
Queer
141
67
74
137
(Continued )
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138
TABLE 1. Continued
Study
Publication
status
Sample
Sexual
NSSI
orientation
timeframe assessment
Sexual
orientation
designation
NSM
%
%
endorsing
endorsing
NSSI
NHeterosexual
NSSI
VOLUME 19 NUMBER 2 2015
(8) Muehlenkamp,
Swenson, Jarvi,
& Batejan (2012)
Unpublished College Students
Lifetime
Orientation
SM
Gay Males2
Bisexual
Other3
36
4
6
26
75%
50%
83%
77%
324
54%
(9) Oswalt &
Wyatt (2011)
Published
Lifetime
Orientation
36%
26%
45%
32%
16%
16%
17%
15%
15%
Orientation
1,708
508
785
415
1,708
508
785
415
25,746
Past Year
SM
Gay=Lesbian
Bisexual
Unsure
SM
Gay=Lesbian
Bisexual
Unsure
25,746
4%
Past Year
Orientation
SM
Bisexual
Gay=Lesbian=
Queer
Other
313
119
148
28%
35%
24%
5,382
13%
46
24%
SM
Gay=Lesbian
Bisexual
25
12
13
56%
58%
54%
56
23%
(10) Serras, Saules,
Cranford et al. (2010)
(11) Silva, Monahan,
Hagan et al. (2012)4
Published
College Students
(Undergraduate & Graduate)
College Students
Unpublished College Students
Lifetime
Orientation
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Past Year
Orientation
SM
Gay=Lesbian
Bisexual
25
12
13
28%
25%
31%
56
11%
ARCHIVES OF SUICIDE RESEARCH
(12) Wester (2012)
Honors
Thesis
College Students
Lifetime
Self-Reported:
Attraction
SM
9
44%
16
75%
(13) Wilcox, Arria,
Caldeira et al. (2012)
Published
College Students
Lifetime
Orientation
SM
84
19%
997
6%
(14) Whitlock,
Eckenrode, &
Silverman (2006;
see also Whitlock
& Knox, 2007)
Published
College Students
Lifetime
Self-Reported
SM
223
Gay=Lesbian
63
Bisexual
84
Questioning=Other 76
34%
19%
45%
34%
2632
16%
(15) Whitlock,
Muehlenkamp,
Purington et al. (2011)
Published
College Students
Lifetime
Self-Reported:
Attraction
8,771
12%
SM
2,575
28%
Mostly Straight
Bisexual
Mostly Gay=
Lesbian
Gay=Lesbian
1,660
495
152
27%
38%
26%
268
15%
Note. 1Reported findings separately for self-reported orientation and for history of same-sex sexual behavioral.
2
No women self-identified as lesbian.
3
Included responses of ‘‘mostly straight=heterosexual.’’
4
Reported findings separately for lifetime NSSI and for past year NSSI.
139
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Sexual Orientation and NSSI
(i.e., life-time, past year), sexual orientation
assessment (i.e., self-report, behavior=
attraction), and sample studied (i.e., adolescent, college student, adult).
Nine of the 15 studies also included
NSSI data for specific sexual orientation
populations. For exploratory purposes,
the third set of analyses estimated the effect
of sexual orientation and NSSI for these
specific populations in an effort to identify
whether particular populations demonstrated particular increased odds for engaging in NSSI. Given the relatively small
number of studies available for this set of
analyses, additional moderation of effects
(e.g., publication status) was not examined.
RESULTS
As mentioned previously, the literature
search yielded 17 reports describing 15
studies included in the meta-analyses
(Table 1). Before presenting the results,
we briefly discuss general characteristics of
the retained reports. Eleven studies came
from published journal articles; the four
unpublished studies included one doctoral
dissertation (Kokaliari, 2005), one conference presentation (Silva et al., 2012), one
undergraduate thesis (Wester, 2012), and
one unpublished dataset (Muehlenkamp,
Swenson, Jarvi, & Batejan, 2012). Fourteen
of the studies were conducted in the United
States; the one exception was conducted in
England (Chakraborty et al., 2011). Six of
the reports were published=prepared
2005–2010, and nine of the reports were
published=prepared in 2011–2012; we did
not find any reports published=prepared
prior to 2005 that met inclusion criteria.
The studies varied in terms of populations studied: three studies focused on
adolescents (Bakken & Gunter, 2012;
Deliberto & Nock, 2008; Kidd, White, &
Johnson, 2012), 10 studies focused on
undergraduate students (Kokaliari, 2005;
Muehlenkamp et al., 2012; Serras, Saules,
140
Cranford, & Eisenberg, 2010; Silva et al.,
2012; Wester, 2012; Whitlock et al.,
2006 [see also Whitlock & Knox, 2007];
Whitlock et al., 2011; Wilcox et al., 2012)
or undergraduate and graduate students
(Gollust et al., 2008; Oswalt & Wyatt,
2011), and two studies focused on adults
(Balsam et al., 2005 [see also Balsam et al.,
2011]; Chakraborty et al., 2011). All of the
studies involved community-based samples
with the exception of Deliberto and Nock
(2008), which involved a mixed sample of
adolescents recruited from the community
and from outpatient treatment centers.
Self-reported sexual orientation was the
primary method of assessing orientation
although one study assessed same- and
opposite-sex sexual behavior (Chakraborty
et al., 2011) and two studies assessed sameand opposite-sex attraction (Wester,
2012; Whitlock et al., 2011). With regard
to NSSI, one study presented findings
for past-month NSSI (Gollust et al.,
2008), three studies presented findings
for past-year NSSI (Bakken & Gunter,
2012; Kidd et al., 2012; Serras et al.,
2010), two studies presented findings for
both past-year and lifetime NSSI (Oswalt
& Wyatt, 2011; Silva et al., 2012), and the
remaining nine studies presented findings
for lifetime NSSI only (Balsam et al.,
2011; Chakraborty et al., 2011; Deliberto
& Nock, 2008; Kokaliari, 2005;
Muehlenkamp et al., 2012; Wester, 2012;
Whitlock et al., 2006; Whitlock et al.,
2011; Wilcox et al., 2012).
Sexual Orientation and NSSI
The 15 studies yielded information on
7,147 sexual minority participants and 61,701
heterosexual participants. On average,
40.5% of the sexual minority participants
reported a history of NSSI (ranging from
8.6% [Chakraborty et al., 2011] to 75%
[Kokaliari, 2005]), compared to a prevalence
estimate of 24.4% of heterosexual participants
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K. L. Batejan, S. M. Jarvi, and L. P. Swenson
2005) to 4.40 (Deliberto & Nock, 2008)
(see Figure 2). Removing the smallest effect
(Wester, 2012) produced a re-estimated
overall weighted random effect OR ¼ 3.09
(95% CI ¼ 2.54–3.75). Removing the
largest effect (Bakken & Gunter, 2012)
produced a re-estimated overall weighted
random effect OR ¼ 2.76 (95% CI ¼
2.39–3.19). Regardless of which study was
removed, the overall effect remained
moderate-to-large and significant. In sum,
findings indicate that the odds of engaging
in NSSI are approximately three times
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(ranging from 4.6% [Chakraborty et al.,
2011] to 75% [Wester, 2012]). The overall
weighted effect size for the relationship
between sexual orientation and NSSI using
a random-effects model was OR ¼ 3.00
(95% CI ¼ 2.46–3.66), indicating a mediumto-large effect. The overall weighted effect
size using a fixed-effects model was comparable (OR ¼ 3.17, 95% CI ¼ 2.98–3.36).
Study-level effects ranged from .27
(Wester, 2012) to 6.34 (Bakken & Gunter,
2012); effect sizes for the remaining 13
studies ranged from 2.22 (Balsam et al.,
FIGURE 2. Odds ratios and 95% confidence intervals for studies testing the association between sexual orientation and
non-suicidal self-injury. The data described in Balsam, Beauchaine, Mickey et al. (2005) were also included in
Balsam, Lehavot, and Beadnell (2011). The data described in Whitlock, Ecjenrode, & Silverman (2006) were
also included in Whitlock and Knox (2007).
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Sexual Orientation and NSSI
further support to refute the threat of
publication bias.
greater for sexual minorities compared to
heterosexual participants.
Two approaches were used to evaluate
publication bias. First, Rosenberg’s weighted
Fail-safe N test (Rosenberg, 2005) indicated
that 110 missing studies with null effects
would be needed to reduce the overall
effect to a small effect (i.e., OR ¼ 1.50).
A total of 5,331 missing studies with null
effects would be needed to reduce the
overall p value to >.05 (i.e., OR ¼ 1). Both
of these numbers exceed the recommended threshold value Nminimum ¼ 5k þ 10
(i.e., 85) (Rosenthal, 1979), suggesting that
publication bias does not likely threaten
the meta-analytic results of this review.
In addition, we also plotted effect size
estimates against the inverse of the
standard error (Rothstein & Bushman,
2012); this funnel plot (available from the
first author) was symmetrical and provides
Moderation of the Association Between
Sexual Orientation and NSSI
Significant heterogeneity in effects was
evident, QTotal (14) ¼ 88.85, p < .001. This
finding supports the systematic examination
of the moderating influence of the five
methodological characteristics mentioned
previously (i.e., publication status, publication date, NSSI assessment timeframe,
sexual orientation assessment, and sample
studied). The results of these analyses are
presented in Table 2.
Under the assumption of fixed-effects,
publication date, NSSI assessment timeframe, and sexual orientation assessment
were found to significantly moderate the
overall effect (i.e., QBetween p-value < .05).
TABLE 2. Potential Methodological Moderators of the Meta-Analytic Association between Sexual
Orientation and Non-Suicidal Self-Injury
Fixed effects
Moderator
Publication status
Unpublished
Published
Publication=Preparation date
2005–2010
2011–2012
NSSI timeframe
Lifetime prevalence
Past year prevalence
Sexual orientation assessment
Self-report
Behavior=Attraction
Sample
Adolescents
College students
Adults
k
QBetween
OR (95% CI)
.56
4
11
QBetween
6
9
2.52 (1.43–4.45)
3.08 (2.48–3.81)
1.77
2.51 (2.16–2.92)
3.31 (3.10–3.54)
30.25
9
6
2.54 (1.85–3.49)
3.35 (2.59–4.34)
2.90
2.72 (2.49–2.97)
4.26 (3.86–4.71)
17.90
12
3
OR (95% CI)
.41
2.66 (1.68–4.21)
3.17 (2.99–3.38)
10.87
2.56 (1.95–3.36)
3.79 (2.81–5.11)
2.91
3.44 (3.19–3.71)
2.83 (2.56–3.13)
71.03
3
10
2
Random effects
3.28 (2.62–4.11)
2.44 (1.57–3.78)
10.15
6.17 (5.16–7.38)
3.00 (2.80–3.21)
2.08 (1.68–2.57)
5.76 (3.61–9.19)
2.75 (2.14–3.54)
2.08 (1.29–3.36)
Note. Odds ratios >1 indicate that sexual minority participants evidence higher odds of engaging in non-suicidal
self-injury compared to heterosexual participants. k ¼ number of studies contributing to the estimate.
p < .01. p < .001.
142
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K. L. Batejan, S. M. Jarvi, and L. P. Swenson
The effect was slightly smaller among older
studies (i.e., dated 2005–2010) compared
to recent studies (2011–2012), for lifetime
NSSI compared to past year NSSI, and for
behavioral=attraction-based assessments of
sexual orientation compared to self-reported
sexual orientation (see Table 2). However,
these methodological characteristics were
not found to moderate the overall effect
under random-effects assumptions (see
Table 2). These findings could be interpreted as ‘‘trends.’’
Importantly, under both fixed- and
random-effects assumptions, the effect of
sexual orientation on NSSI was found to
be statistically significantly increased among
adolescent samples compared to college student populations and to adult samples. In
addition, the effect observed for college students was significantly increased compared
to adult samples. The number of effects
available for this analysis was small (i.e.,
k ¼ 3 for adolescents, k ¼ 2 for adults
compared to k ¼ 10 for college students),
but overall this finding suggests that sexual
minority adolescents in particular are
at particular risk for NSSI, with overall risk
compared to heterosexual populations
decreasing (but remaining statistically significant) with age. In addition, it should also be
noted that publication status (i.e., published
vs. unpublished) was not a significant
moderator of effects (p > .05 for both fixedand random-effects models). This further
suggests that potential publication bias or
failure to retrieve relevant studies is not likely
a threat to the results of these meta-analyses.
Association of Sexual Orientation and
NSSI for Specific Sexual Orientation
Populations
Nine of the 15 identified studies
provided sufficient information to calculate
overall weighted effects sizes of the association between sexual orientation and NSSI
for specific sexual orientation comparisons
(the effect from Whitlock et al. [2011]
involving ‘‘mostly gay=lesbian’’ participants
and the effect from Serras et al. [2010]
involving gay=lesbian=queer participants
were excluded from these analyses). These
findings are presented in Table 3. These
results suggest that the odds of engaging
in NSSI are increased for bisexual
participants compared to heterosexual participants, gay=lesbian participants, and to
participants who identify as ‘‘questioning’’
or do not identify with a specific sexual
orientation label (i.e., ‘‘other’’). In addition,
participants identified as ‘‘questioning=
other’’ demonstrated increased risk compared to heterosexual participants and to
gay=lesbian participants. However, the
odds of engaging in NSSI among gay=
lesbian populations specifically were 1.91
times the odds of engaging in NSSI for
heterosexual populations. Given the small
number of studies available for these
TABLE 3. Meta-Analytic Associations between
Sexual Orientation and Non-Suicidal
Self-Injury for Specific Sexual
Orientation Comparisons
Comparison
k
OR (95% CI)
Gay=Lesbian vs.
Heterosexual
Bisexual vs.
Heterosexual
Questioning=Other
vs. Heterosexual
Bisexual vs.
Gay=Lesbian
Bisexual vs.
Questioning=Other
Questioning=Other
vs. Gay=Lesbian
7
1.91 (1.66–2.19)
9
4.37 (3.95–4.84)
5
2.77 (2.49–3.07)
7
2.36 (2.00–2.78)
5
1.65 (1.41–1.93)
5
1.48 (1.22–1.78)
Note. Odds Ratios and 95% confidence intervals
were calculated using fixed effects models given
the limited number of studies (k) available for analyses. Odds ratios >1 indicate that the first grouping
evidenced higher odds of engaging in nonsuicidal
self-injury compared to the second grouping.
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143
Sexual Orientation and NSSI
analyses, systematically examining moderation of these effects was not undertaken.
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DISCUSSION
This meta-analysis aggregated findings
from over 7,000 sexual minorities and over
61,000 heterosexual individuals across 15
studies. Although there was considerable
methodological variability across studies,
we found that sexual minority individuals
are at significantly greater risk for engaging
in NSSI compared to heterosexual individuals. Prior research has illustrated that
sexual minority individuals are at increased
risk for a number of high-risk behaviors
and psychological disorders, including substance use (e.g., King et al., 2008; Marshal,
Friedman, Stall, & Thompson, 2009; Robin
et al., 2002), suicidal behaviors (e.g.,
Eisenberg & Resnick, 2006; Garofalo, Wolf,
Wissow, Woods, & Goodman, 1999; Jorm,
Korten, Rodgers, Jacomb, & Christensen,
2002; King et al., 2008; Marshal et al.,
2011; Robin et al., 2002), and depression
(e.g., Jorm et al., 2002; King et al., 2008;
Marshal et al., 2011). It seems logical, then,
that sexual minority individuals would also
be at increased risk for a high-risk behavior
like NSSI. According to minority stress
theory, the experience of stress among
sexual minorities, such as discrimination
and prejudice, may lead to detrimental mental health effects and at-risk behaviors such
as NSSI (Meyer, 2003).
In addition to general risk associated
with LGBQ identity, the results of this
meta-analysis show that bisexual individuals are at higher risk for engaging in
NSSI compared to heterosexual, gay=lesbian, and questioning=other individuals.
Bisexuals may face additional stressors
compared to gay and lesbian individuals.
Specifically, the experience of biphobia
(i.e., prejudice towards bisexual individuals) and monosexism (i.e., only single
gender orientations are legitimate) can
144
detrimentally affect bisexuals leading to
issues with self-esteem, identify conflict,
and mental health (Ross, Dobinson, &
Eady, 2010; Volpp, 2010). Bisexual individuals may face stressors unique to them,
including feeling a lack of support from
both heterosexual and gay=lesbian communities, considered a ‘‘doubly stigmatized
identity’’ (Ross et al., 2010, p. 501), putting
them at greater risk than both groups
(Fredriksen-Goldsen, Kim, Barkan, Balsam, & Mincer, 2010; Loosier & Dittus,
2010). Although this meta-analysis demonstrated an increased risk for NSSI among
bisexual individuals, other research has
found similar results pertaining to at-risk
and high-risk behaviors among bisexual
individuals. For example, bisexual high
school students were five times more likely
to attempt suicide compared to their gay
and lesbian counterparts (Robin et al.,
2002). Similarly, bisexual youth reported
worse mental health outcomes including
depressive symptoms, suicidal thoughts,
drinking, and delinquency when compared
to heterosexual and gay=lesbian youth (Loosier & Dittus, 2010). Thus, bisexual individuals may be among the most at-risk sexual
minorities for mental health concerns.
Questioning=other individuals were
also found to be at a higher risk for engaging in NSSI compared to both heterosexual
and gay=lesbian individuals. Less research
has examined mental health outcomes and
risk-taking behaviors among this population, as this identity tends to be less
endorsed compared to other identities in
the historical literature. It can be posited
that individuals questioning their sexual
orientation may be at higher risk for NSSI
because their identities are undetermined,
which may be stressful and confusing. Or,
because these individuals have not
identified with a specific sexual orientation,
their experiences may be similar to the
experiences bisexuals reportedly have in
relation to heterosexual and gay=lesbian
communities (i.e., non-acceptance by either).
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K. L. Batejan, S. M. Jarvi, and L. P. Swenson
This meta-analysis also found that
sexual minority youth are at particularly
higher risk for engaging in NSSI compared
to sexual minority adults. LGBQ youth are
coming out at an earlier age compared to
adolescents 30 years ago (Riley, 2010) and
may therefore experience more stressors
related to and negative reactions from
disclosing their sexual orientations. For
instance, one study found that younger
age was correlated with more suicide
attempts and self-harm behaviors in a sexual minority population (House, Van Horn,
Coppeans, & Stepleman, 2011). On the
other hand, LGBQ adolescents may still
be navigating their sexual identities, and
therefore remain closeted to prevent disclosure among potentially unsupportive
people (e.g., parents). Remaining closeted
during adolescence can have adverse
impacts on mental health (e.g., feelings of
isolation=loneliness) and create interpersonal difficulties (e.g., fear of rejection or ridicule; Riley, 2010). Coming out during
adolescence, however, may in turn reduce
emotional distress, such as isolation, and
thereby other risk factors such as NSSI
(Ford, 2003). As NSSI tends to be most
prevalent among adolescents and young
adults in general (Jacobson & Gould,
2007), it is not surprising then, that NSSI
would be higher among LGBQ adolescents.
The majority of the data used for this
meta-analysis was taken from community
samples; therefore, these results may be
generalizable to other samples of at-risk
sexual minorities. Also, the literature search
conducted to support this meta-analysis did
not find any studies fitting our inclusion
criteria that were published=prepared prior
to 2005, suggesting that examining NSSI
among sexual minorities is a newer interest
in the field. However, the study of NSSI
itself is not a considerably new field, nor
is the mental health of sexual minorities.
It is important to note that some studies
may have touched upon NSSI among
sexual minorities before 2005 but were
excluded from our sample for a number
of reasons (e.g., combined data with suicide,
qualitative studies). Results suggest that
further research and clinical attention in this
area is sorely needed to address ways in
which LGBQ individuals can cope with
stressors that may be associated with a sexual minority identity. Further, it is crucial
that equality for sexual minority individuals
is established to combat the prejudice
and discrimination that homophobia and
heterosexism continue to fuel in our society.
Limitations
A few limitations warrant mention in
consideration of the results presented.
First, we did not include data from manuscripts or unpublished reports that were
not written in English. Second, among
the 18 studies not included in these analyses due to unclear intent of the behavior
studied (e.g., DSH) and those studies that
combined suicidal and non-suicidal behavior, some NSSI data may have been lost.
In regards to methods, we utilized a categorical (i.e., presence or absence of NSSI)
variable for analyses. Although this approach was necessary given the data available
for analyses, we were unable to look at
specific types of NSSI behavior, or examine
differences in severity of NSSI (e.g., frequency, course=duration, number of methods,
damage to body). It is worth noting the
heterosexual population’s NSSI prevalence
of 24.4% is slightly higher than what is typically seen in community populations (e.g.,
5.9% in adults [Klonsky, 2011], 15–19%
among college students [Glenn & Klonsky,
2011], and up to 30% of adolescents
[Muehlenkamp, Walsh, & McDade, 2010]).
This could partly be a result of collapsing
studies that employed varied measures
assessing different types of NSSI (e.g.,
wound picking, burning) into a single
dichotomous indicator. Third, given the nature of the literature included in the analyses
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Sexual Orientation and NSSI
we were unable to look at additional variables, such as psychiatric diagnoses (e.g.,
Borderline Personality Disorder which is
often comorbid with NSSI; Zanarini,
Laudate, Frankenburg, Wedig, & Fitzmaurice, 2013; see also Ploderl, Kralovec, &
Fartacek, 2010), that may have affected
relations between sexual orientation and
NSSI. Further, although exhaustive efforts
were undertaken to identify all relevant
published and unpublished research on the
association between sexual orientation and
NSSI, the relatively small number of studies
identified (i.e., k ¼ 15) reduced power for
analyses.
Implications and Future Directions
While these findings demonstrate
a considerably increased risk for NSSI
among individuals identifying themselves
as a sexual minority, many important
questions remain unanswered. NSSI has
been associated with increased morbidity
and suicidality (Andover, Morris, Wren, &
Bruzzese, 2012), and prior research has
demonstrated an association between
sexual orientation and suicidality (King
et al., 2008; Marshall et al., 2011). However,
the mechanisms potentially linking sexual
orientation, NSSI, and suicidality are
unknown and merit immediate attention.
Also, the present research found that
risk for NSSI was not uniform across
sexual orientation identities=labels; therefore, future research in these domains will
benefit from querying sexual orientation
by asking questions about identity, attraction, and behavior, as each of these components of sexual orientation and identity may
elicit different responses (e.g., identification
as ‘‘straight’’ plus endorsement of same-sex
sexual behavior; Igartua, Thombs, Burgos,
& Montor, 2009). Relatedly, it will also
be important to separate sexual minority
identities (e.g., gay vs. bisexual), so as not
to combine these categories under a larger
‘homosexual’ group (Fredriksen-Goldsen
146
et al., 2010), as meaningful differences
may be lost if the assumption is made that
all non-heterosexual individuals are similar.
Individuals identifying as lesbian, gay,
bisexual, or questioning=other are unique
groups and display different levels of risk,
specifically risk for NSSI.
Considerable efforts should be made
in developing NSSI interventions that will
be acceptable to and meaningful for sexual
minorities. As this meta-analysis shows
sexual minority adolescents are most at-risk
for NSSI, it is crucial to specifically target
this group for intervention and treatment.
From the literature, NSSI is most prevalent
during adolescence and the behaviors typically decrease over time (see Jacobson &
Gould, 2007), yet engaging in NSSI can
increase adolescents’ risk for engaging in
other behaviors such as suicide (Andover
et al., 2012). The combined risk of being
a sexual minority adolescent and engaging
in NSSI during adolescence puts this
adolescent at a significant risk, which can
also lead to other high-risk behaviors and
mental health concerns.
In sum, these findings highlight the
need to explicitly examine mechanisms
linking sexual orientation and NSSI
in future research. Such research, building
on the findings of the current metaanalyses, has the potential to add understanding of associations between sexual
orientation, NSSI, and suicidality and may
highlight particularly relevant targets for
prevention and intervention.
AUTHOR NOTE
Kristen L. Batejan, Stephanie M. Jarvi, &
Lance P. Swenson, Suffolk University,
Boston, Massachusetts, USA.
Correspondence concerning this article
should be addressed to Kristen L. Batejan,
41 Temple Street, Department of Psychology, Suffolk University, Boston, MA
02114. E-mail: KLBatejan@suffolk.edu
VOLUME 19 NUMBER 2 2015
K. L. Batejan, S. M. Jarvi, and L. P. Swenson
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