Skip to main content
Full access
New Research
Published Online: 1 May 2011

Clinical and Psychosocial Predictors of Suicide Attempts and Nonsuicidal Self-Injury in the Adolescent Depression Antidepressants and Psychotherapy Trial (ADAPT)

Abstract

Objective:

The authors assessed whether clinical and psychosocial factors in depressed adolescents at baseline predict suicide attempts and nonsuicidal self-injury over 28 weeks of follow-up.

Method:

Participants were 164 adolescents with major depressive disorder taking part in the Adolescent Depression Antidepressants and Psychotherapy Trial (ADAPT). Clinical symptoms, family function, quality of current personal friendships, and suicidal and nonsuicidal self-harm were assessed at baseline. Suicidal and nonsuicidal self-harm thoughts and behaviors were assessed during 28 weeks of follow-up.

Results:

High suicidality, nonsuicidal self-injury, and poor family function at entry were significant independent predictors of suicide attempts over the 28 weeks of follow-up. Nonsuicidal self-injury over the follow-up period was independently predicted by nonsuicidal self-injury, hopelessness, anxiety disorder, and being younger and female at entry.

Conclusions:

Both suicidal and nonsuicidal self-harm persisted in depressed adolescents receiving treatment in the ADAPT study. A history of nonsuicidal self-injury prior to treatment is a clinical marker for subsequent suicide attempts and should be as carefully assessed in depressed youths as current suicidal intent and behavior.
Suicide is the third leading cause of death in adolescents in the United States and the second leading cause in the rest of the developed world (1, 2). Reducing suicide rates, particularly in individuals with severe mental illness, is a key public health target in several countries, including the United Kingdom and the United States (3, 4). If psychiatrists are to help achieve these important targets, it is crucial that we be able to identify those patients who, at presentation, are most at risk of suicide, so that we can focus our interventions appropriately.
Psychiatric disorders are present in about 90% of adolescents who commit suicide (5). Associations have been found between suicide and most psychiatric disorders (including substance use disorders, conduct disorder, anxiety disorders, and eating disorders [1, 5]). Major depressive disorder is the most common single disorder, present in 35% of suicides (5). Self-harm (with or without suicidal intent) is an important predictor of future completed suicide and is present in the recent histories of around 40% of suicides (6). Adolescents who have attempted suicide in the past are up to 60 times more likely to commit suicide than those who have not (5). Hopelessness has been found to be associated with suicide, although some studies found that this factor was confounded by the presence of depression (5). Psychosocial factors associated with completed suicide include family psychopathology, family discord, abuse, and loss of a parent by death or divorce (4, 7, 8). Peer relationship problems, including being bullied, have been found to be associated with suicide attempts but not with completed suicide (7).
While treating depression effectively is likely to reduce suicide rates, it is also important to establish which factors increase the risk of suicidal behaviors among currently depressed adolescents. So doing will help us identify those patients who are particularly at risk for completed suicides and may reveal risks in need of treatment in their own right.
Nonsuicidal self-injury, often in the form of cutting (8), is much less studied than suicide. Individuals self-injure for a multitude of reasons, such as to relieve distressing affect, to punish the self, and to gain attention. Most research on self-injurious behaviors has failed to distinguish the prognostic implications of suicide attempt with clear intent to die from nonsuicidal self-injury. One large all-ages cohort study demonstrated that an act of either type of self-harm is associated with a greatly increased risk of suicide over a 4-year follow-up (9). Interestingly, there was no difference in suicide risk over time between those with suicidal and nonsuicidal self-harm episodes at entry (9).
Two studies have capitalized on data from large, randomized controlled treatment trials, investigating which risk factors are associated with self-harm events among depressed adolescents. Definitions of self-harm events were not the same in these studies, and only one of the studies measured nonsuicidal self-harm as a separate entity. In the Treatment of SSRI-Resistant Depression in Adolescents (TORDIA) study (10), 14% of participants had a suicidal event (5% made a suicide attempt) over 12 weeks of follow-up and 9% had an act of nonsuicidal self-injury. Baseline suicidal ideation and family conflict were significantly and independently associated with a suicidal event. The only predictor of nonsuicidal self-injury was a history of nonsuicidal self-injury before trial entry (odds ratio=9.6). In the Treatment for Adolescents with Depression Study (TADS) (11), 10% of participants had suicidal events (half of which were suicide attempts) over 36 weeks of follow-up. Suicidal events were predicted by baseline suicidality and high levels of self-rated depressive symptoms in univariate analyses. There was no separate category of nonsuicidal self-injury.
In this article we report the prevalence and predictors of suicidality and nonsuicidal self-injury, at entry and over the 28-week period of assessment, from the Adolescent Depression Antidepressants and Psychotherapy Trial (ADAPT), a pragmatic effectiveness superiority trial of the treatment of adolescent major depression (12). We hypothesized that 1) higher suicidality and impaired family function at entry would both be independently associated with a suicide attempt during 28 weeks of follow-up, after controlling for severity of depressive symptoms at entry; 2) nonsuicidal self-injury in the month before entry would predict nonsuicidal self-injury over the follow-up period, independently of suicidality or depression severity at entry; and 3) suicidality and nonsuicidal self-injury would be associated at baseline and together exert additive effects on the likelihood of either one persisting through the treatment period.

Method

Participants

Participants were recruited from the ADAPT study. This pragmatic effectiveness trial of depressed 11- to 17-year-olds in British National Health Service clinics showed no added value for cognitive-behavioral therapy (CBT) plus a selective serotonin reuptake inhibitor (SSRI) and specialist clinical care over an SSRI plus specialist clinical care for moderately to severely depressed adolescents (12). To facilitate generalizability of the results, only participants with DSM-IV major depressive disorder (N=192) were eligible for the analysis reported here.
The study was approved and monitored by the North West Multi-Centre Research Ethics Committee and all local research ethics committees. After receiving a complete description of the study, participants and one adult with parental responsibility provided written informed consent.

Outcome Measures

The Schedule for Affective Disorders and Schizophrenia for School-Age Children–Present and Lifetime Version (K-SADS-PL) (13) was used to measure whether DSM-IV diagnoses and individual depressive symptoms were present at baseline. The more detailed suicidality and self-harm sections of a different instrument, the Schedule for Affective Disorders and Schizophrenia for Adolescents–Lifetime Version (14), were added to the trial protocol shortly after the start of the study (and so data were not available for 12 participants) to obtain precise details about self-harm over the 28 weeks of the study. Specific information about self-harm was not collected for each period of the study, although K-SADS-PL information was collected for the month prior to all assessment points (6 weeks, 12 weeks, 28 weeks). A suicide attempt was defined as at least one act at the level of “definite suicidal intent” or higher. Self-injury was defined as at least one nonsuicidal self-injury act as a response to the “nonsuicidal self-damaging acts” item. Behavior disorder was defined as conduct disorder or oppositional defiant disorder. Anxiety disorder was defined as agoraphobia, panic disorder, separation anxiety disorder, social phobia, or simple phobia.
The severity of depressive symptoms was measured by the Children's Depression Rating Scale–Revised (15), which was designed as a pediatric version of the Hamilton Depression Rating Scale. We used item 13, a 7-point item about suicidal ideation, as a continuous measure of “suicidality.” The depression severity variable was the sum of all items on the Children's Depression Rating Scale–Revised except item 13.
We used scores from the adolescent-completed McMaster Family Assessment Device–12-Item General Functioning Scale (16) to rate family functioning. Friendship functioning was assessed by the adolescent-completed Cambridge Friendships Questionnaire (17). All parents with whom the adolescent lived were asked to complete the General Health Questionnaire–28 (18), a self-rated questionnaire assessing mental health status over the past few weeks.

Statistical Analysis

Initially we determined whether suicide attempts and nonsuicidal self-injury in the month before baseline assessment were associated. Second, we investigated which baseline variables were associated with at least one act of self-harm (divided into suicidal and nonsuicidal) during the 28-week follow-up period. Chi-square tests were used for categorical predictors; for continuous predictors, Student's t test and the Mann-Whitney test were used for normally and non-normally distributed data, respectively. Multiple logistic regressions were performed to investigate which variables were independently associated with at least one suicide attempt, then with at least one nonsuicidal self-harm act, during the follow-up period. All items that were associated (p<0.1) on univariate analysis, together with depression severity, age, and gender, were included. The first step of the model for suicide attempts did not include self-injury; the second step added self-injury. Covariates were checked for collinearity using the variance inflation factor; a variance inflation factor above 10 indicates high multicollinearity (19). Pairwise correlations were calculated between predictor variables to indicate potential sources of multicollinearity; for categorical-categorical pairs, tetrachoric calculations were used; for continuous-categorical pairs, Pearson point-biserial correlations were calculated. All tests were two-tailed. Data analysis was performed using Stata, version 11 (StataCorp, College Station, Tex.), and MPlus, version 5.2 (www.statmodel.com).
Variables found to be significantly associated with self-harm were entered into ROC4 analyses (20, 21). ROC4 is a multivariate procedure that simultaneously carries out univariate tests using each predictor variable in a data set. It determines which variable, at which cut point, most efficiently predicts a dichotomous outcome. A kappa value of 0.5 (equal preference given to sensitivity and specificity) was used with ROC4.

Results

A total of 192 participants in ADAPT had major depressive disorder at baseline. Valid data were available for all but one on baseline suicide attempts and nonsuicidal self-injury, and for 163 on self-injury and 164 on suicide attempts during the follow-up period. Table 1 summarizes the baseline demographic and clinical data for those with baseline suicidality data and those with valid follow-up data for both suicide attempts and self-injury. There were no significant differences between those with and without follow-up data. There was a significant association between suicidal and nonsuicidal self-harm in the month before baseline (self-injury present: suicide attempt in 15/58 [26%]; self-injury absent: suicide attempt in 12/105 [11%]; odds ratio=2.7, χ2=5.6, df=1, p=0.018).
TABLE 1. Baseline Demographic and Clinical Characteristics of Participants in a Study of Nonsuicidal Self-Harm and Suicide Attempts in Depressed Adolescents
CharacteristicBaseline Data Available (N=191)Follow-Up Data Available (N=163)
 MeanSDMeanSD
Age (years)14.21.214.31.2
Duration of depression (weeks)67.783.071.187.9
Children's Depression Rating Scale–Revised, total score59.99.560.09.5
Children's Depression Rating Scale–Revised, T score75.86.475.96.3
Number of comorbid disorders1.20.91.20.8
 N%N%
Male42264825
Suicide attempt in past month32172717
Nonsuicidal self-injury in past month65345735
 MedianIQRaMedianIQRa
Children's Depression Rating Scale–Revised, suicidality item score31–531–5
a
IQR=interquartile range.

Baseline Predictors of a Suicide Attempt During Follow-Up

During the month before baseline, 28 adolescents (17%) made at least one suicide attempt. Fifty adolescents (30%) made at least one suicide attempt during the 28-week follow-up period. The risk of suicide attempt was lower across each measured month of the study than in the month before baseline (month preceding the 6-week assessment, 8%; month preceding the 12-week assessment, 7%; month preceding the 28-week assessment, 7%). Suicide and self-harm risk over the follow-up period by predictor variable is shown in Table S1 in the data supplement that accompanies the online edition of this article. A higher risk of suicide attempt during follow-up was significantly associated with suicidality, depression severity, hopelessness, the presence of a suicide attempt or self-injury in the month before baseline, and impaired family functioning, but not with treatment group, parental mental health, or friendship problems.
Multiple logistic regression demonstrated that only impaired family functioning (odds ratio=2.27, p<0.0005) and higher suicidality at entry (odds ratio=1.59, p=0.026) were significant independent predictors of a subsequent suicide attempt.
Self-injury was then added in the second step of the model, which is presented in Table 2. Model fit significantly improved (Δχ2=7.7, df=1, p<0.01). Self-injury and family function, but not baseline suicidality, were significantly associated with a suicide attempt. Similar results were obtained when presence of a suicide attempt in the month before baseline (yes/no) was used in the model instead of suicidality item: nonsuicidal self-harm and family function, but not prebaseline suicide attempt (odds ratio=2.4, p=0.08), were associated with a suicide attempt. Pairwise correlations of predictor variables are listed in Table 3. With the exception of suicidality and prebaseline suicide attempt, all pairwise correlation coefficients were <0.5. Maximum variance inflation factor was low at 1.25.
TABLE 2. Multivariate Predictors of Risk of Suicide Attempt in Depressed Adolescents During a 28-Week Follow-Up a
 Risk of Suicide Attempt
VariableOdds Ratio95% CIp
Suicidality item from the Children's Depression Rating Scale–Revised1.400.92–2.150.12
Prebaseline nonsuicidal self-injury3.201.40–7.330.006
Nonsuicidality items from the Children's Depression Rating Scale–Revised0.980.62–1.560.9
Hopelessness1.640.69–3.900.3
Family functioning2.111.33–3.340.001
Age0.950.68–1.330.8
Female1.100.44–2.760.8
a
Likelihood ratio χ2=38, df=7, p<0.00005. Pseudo R2=0.20. Hosmer-Lemeshow χ2=2, df=8, p=0.99. Maximum variance inflation factor=1.25. All Children's Depression Rating Scale–Revised measures and family functioning are z-transformed scores, with one unit representing one standard deviation.
TABLE 3. Correlation Coefficients Between Relevant Predictor Variables in a Study of Nonsuicidal Self-Harm and Suicide Attempts in Depressed Adolescentsa
Variable1234567891011
1. Suicide attempt prebaseline1 
2. Suicidality item from the Children's Depression Rating Scale–Revised0.91*1 
3. Nonsuicidal self injury prebaseline0.38*0.49*1 
4. Nonsuicidality items from the Children's Depression Rating Scale–Revised0.050.23*0.30*1 
5. Family functioning0.070.22*0.32*0.091 
6. Maternal General Health Questionnaire score0.180.080.010.31*0.041 
7. Paternal General Health Questionnaire score–0.220.190.140.190.070.021 
8. Hopelessness0.140.24*0.190.41*0.13–0.020.061 
9. Anxiety disorder0.110.30*0.000.27*0.000.030.090.001 
10. Gender–0.10–0.030.060.190.10–0.020.03–0.140.151 
11. Age0.030.060.150.100.21*–0.14–0.110.23*0.080.001
a
Pearson's correlation coefficient used for continuous-continuous measure association; point-biserial correlation for dichotomous-continuous; tetrachoric correlation for dichotomous-dichotomous.
* p<0.05.
ROC4 analysis demonstrated that the optimal predictor for a suicide attempt was prebaseline nonsuicidal self-injury (univariate relative risk=2.95). Among the larger subgroup with no prebaseline self-injury, the optimal predictor cutoff for a suicide attempt was family function, as assessed by the McMaster Family Assessment Device, with a cutoff of 25/26; 15/45 (33%) with scores >25 and 3/56 (5%) with scores <26 had a suicide attempt.

Baseline Predictors of Nonsuicidal Self-Injury During Follow-Up

Fifty-eight adolescents (36%) had at least one act of nonsuicidal self-injury in the month before baseline. Sixty adolescents (37%) had at least one act of self-injury during the 28-week follow-up period. The risk of self-injury was lower across all measured months of the study than in the month before baseline (month preceding the 6-week assessment, 26%; month preceding the 12-week assessment, 19%; month preceding the 28-week assessment, 16%). Table S1 in the online data supplement shows that self-injury in the month before baseline, high suicidality at baseline, high depression severity at baseline, baseline anxiety disorder and hopelessness, and female gender were significantly associated with a higher risk of at least one nonsuicidal self-injury incident during follow-up. Neither treatment group nor suicide attempt in the month before baseline was associated with self-injury during follow-up.
Table 4 shows that self-injury in the month before the baseline assessment was the most significant independent predictor of subsequent self-injury over the follow-up period. Other significant independent predictors were baseline anxiety disorder and hopelessness, female gender, and younger age. Figure 1 shows the risk of suicidal and nonsuicidal self-harm over the follow-up period among those with and without baseline self-harm. ROC4 analysis demonstrated that prebaseline self-injury was the most efficient predictor of self-injury (univariate relative risk=3.59).
TABLE 4. Multivariate Predictors of Risk of Nonsuicidal Self-Injury in Depressed Adolescents During 28 Weeks of Follow-Upa
 Risk of Nonsuicidal Self-Injury
VariableOdds Ratio95% CIp
Suicidality item from the Children's Depression Rating Scale–Revised0.900.55–1.490.7
Prebaseline Nonsuicidal self-injury20.36.87–60.1<0.0005
Nonsuicidality items from the Children's Depression Rating Scale–Revised0.600.35–1.040.067
Hopelessness3.701.39–9.810.009
Family functioning1.130.72–1.780.6
Anxiety disorder3.711.28–10.750.016
Age0.570.39–0.850.005
Female4.801.54–15.00.007
a
Likelihood ratio χ2= 65, df=9, p<0.00005. Pseudo R2=0.32. Hosmer-Lemeshow χ2=5, df=8, p=0.8. Maximum variance inflation factor=1.30. All Children's Depression Rating Scale–Revised measures and family functioning are z-transformed scores, with one unit representing one standard deviation.
FIGURE 1. Effects of Baseline Nonsuicidal Self-Injury on Risk of Harm Events in Adolescents With Major Depression Over 28 Weeks of Follow-Upa
a For nonsuicidal self-injury, χ2=39, df=1, p<0.0005; for suicide attempt, χ2=22, df=1, p<0.0005.

Relationships Between Depression Outcomes and Self-Harm Events During Follow-Up

Table S1 in the online data supplement shows that high depressive symptoms at 28 weeks were significantly (p=0.001) associated with self-injury but not suicide attempts and that presence of one type of self-harm during follow-up was significantly associated with presence of the other type (odds ratio=2.5, p=0.007).

Discussion

In this article, we report the proportion of depressed adolescents with suicidal and nonsuicidal self-harm at study entry and over 28 weeks of follow-up who participated in a large, randomized, pragmatic effectiveness trial of treatment of the acute episode. Measuring nonsuicidal self-injury separately from suicidal intent, at entry and at follow-up, is consistent with the form of reporting in the trial of SSRI-resistant depression in adolescents (the TORDIA study) (10).
Relative to the TORDIA sample (10), the ADAPT sample had much higher risks of both suicidal (30% compared with 5%) and nonsuicidal (37% compared with 9%) self-harm acts. The higher level of self-harm may reflect the lower level of social functioning (as measured by the Children's Global Assessment Scale [22]), and hence greater complexity, in the depressed adolescents recruited to ADAPT, despite similar levels of depressive symptoms compared with other studies (12, 23, 24). More participants had suicide attempts and nonsuicidal self-injury over the 28 weeks of the study than in the month before baseline. This difference may be methodological, resulting from the greater follow-up interval, as rates were lower for all three measured months of the study than for the month before baseline.
Our findings replicated those of TORDIA: suicide attempts were independently predicted by both baseline suicidality or recent suicide attempts and impaired family function. In addition, this study suggests that nonsuicidal self-injury in the month before baseline was a stronger predictor of suicide attempts than prebaseline suicide attempts. Since there was collinearity between suicide attempts and self-injury (r=0.38), this may be a type II error. Overall, this finding emphasizes the need for more research on the independence and validity of nonsuicidal self-injury and suicidal events in adolescents and their contributions to the emergence of depressive episodes.
Consistent with findings from TORDIA, we did not observe any association of suicide attempts with other nondepressive clinical features. There was no effect of parental mental health on subsequent suicide attempts. This suggests that family dysfunction per se is the risk marker rather than a surrogate for parental psychopathology. Interestingly, problems in personal friendships (personal disappointments), which are associated with depression onset (25), were not associated with subsequent suicide attempts. This supports findings from previous studies demonstrating that in depressed adolescents, arguments with family members are by far the most common precipitants of attempted suicide (26).
Overall, our results demonstrate that in our sample, adolescents with prebaseline nonsuicidal self-injury (suicide attempt risk=53%) had a 10-fold greater risk of suicide attempt during treatment than those with no self-injury and with reasonably good family functioning (suicide attempt risk=5%).
Compared with suicidality, self-injury over the follow-up period was associated with a different pattern of predictors. Thus, poor family functioning was not associated with self-injury, whereas hopelessness and anxiety disorder at baseline, as well as being both younger and female, were associated with self-injury but not with suicidality. As in TORDIA (10), the largest predictor of self-injury was self-injury at baseline.
Higher depressive symptoms at 28 weeks were associated with greater risk of nonsuicidal self-injury. Possible explanations are that continued depressive symptoms lead to nonsuicidal self-injury, possibly to regulate affect, and that there is a subtype of depression characterized by self-injury that leads to a poor response to treatment.
Nonsuicidal self-injury is often seen as less serious than suicide attempts. However, our results support previous findings from a nonselective (all ages and not disorder specific) cohort study (9) indicating that nonsuicidal self-injury is as likely as suicide attempts to predict future suicide attempts. Therefore, depressed adolescents with self-injury require the same high level of urgent assessment and treatment as those who have made a suicide attempt.
The majority of depressed adolescents with suicidal ideation do not attempt suicide. According to Joiner's interpersonal-psychological theory of suicidal behavior (27), people make serious suicide attempts only if they have the combination of a wish to die and the capability to act on that wish. Joiner's group has stated (28) that repeated nonsuicidal self-injury may result in higher pain tolerance and reduced fear of death, increasing the capability to cross the boundary between suicidal ideas and acts. Our study is the first longitudinal study to demonstrate that self-injury is associated with future suicide attempts, independent of depressive symptoms, and provides partial support for this theory. It is equally possible that self-injury is a behavioral marker for neuropsychological processes that subserve suicidality, such as impaired behavioral inhibition, leading to impulsivity and a loss of emotion regulation.
Depression and nonsuicidal self-injury may reflect co-morbid disorders whose etiologies and prognostic significance are independent and require different approaches to treatment. Indeed non-suicidal self-injury has been proposed as a new category among childhood disorders for DSM-5 (29). If this hypothesis is validated in further research, active treatments focused on self-injury should be provided alongside treatment for depression, as this may additively improve the likelihood of reduction in subsequent suicide attempts.
Trials to date in this age range have shown limited effectiveness in reducing suicidal and nonsuicidal self-harm. In ADAPT, TADS, and TORDIA, the addition of CBT did not lead to a statistically significant additional reduction in suicide attempts or in nonsuicidal self-injury (12, 23, 24). These trials were powered to test for treatment effects on depressive symptoms, however, not the rarer outcomes of self-harm. A recent small study of attachment-based family therapy shows promise, with reductions in suicidality in depressed and nondepressed adolescents compared with standard treatment (30). Trials of a group therapy using CBT and dialectical behavior therapy techniques have had contrasting results, with both lower (31) and higher (32) rates of suicide attempt in the intervention compared with the comparison group. A brief home-based family intervention for children and adolescents after self-harm has been shown to reduce suicidality in nondepressed but not in depressed subgroups (33). Dialectical behavior therapy, while demonstrated to be effective in reducing suicidal and nonsuicidal self-harm in some studies in adults (34), has not been proven to be more effective than treatment as usual in reducing suicidal or nonsuicidal self-harm in adolescents (35, 36). Further research is needed to identify effective and deliverable interventions for suicidal and nonsuicidal self-harm in depressed and nondepressed adolescents.

Limitations

Because this is a secondary analysis from a randomized controlled trial, there is a risk of type I errors. However, as the main results replicate those of another trial (TORDIA), it is more likely that these variables are true risk factors for suicidal and nonsuicidal self-harm. Unlike in TORDIA, data on self-harm over the 28 weeks of the study were collected only at the 28-week follow-up assessment, which may have led to underestimation of self-harm events (10). It also means that we cannot distinguish between patients who self-harm only at the beginning of treatment (who may stop self-harm once depression is successfully treated) and those who have persistent self-harm throughout treatment. It is possible that adolescents who remain depressed are more likely to remember self-harm over the previous 28 weeks.
Suicidal and nonsuicidal self-harm data were collected by three research assessors. Interrater reliability was not assessed, so there may have been inaccuracies in classification. Data were not collected on several variables that may have affected suicidal and nonsuicidal self-harm, including drug and alcohol use, self-harming behavior prior to 1 month before baseline, family history of self-harm or suicide, environmental adversity (including abuse), impulsivity, and personality dimensions. This study was carried out on clinic patients treated with SSRIs. The range of comorbidities and illness severity in the sample makes it representative of depressed adolescents seen in U.K. National Health Service clinics. However, the results may not be generalizable to patients receiving treatments other than antidepressants. Finally, the results should only be generalized to depressed adolescents: nonsuicidal self-injury is common in nondepressed teenagers and may not have the same effects on risk of suicide attempts in the population at large.

Clinical Implications

Suicidal and nonsuicidal self-harm are both significant risks for depressed adolescents treated in the clinic. The presence of family dysfunction, high levels of suicidality, and recent self-harm (suicidal or nonsuicidal) should alert us to a high risk for future suicide attempts. The presence of recent nonsuicidal self-injury is by far the strongest predictor of future nonsuicidal self-injury. The lack of positive results to date from trials that offered specific treatments focused on self-injury indicates the need for the development and testing of new treatments.

Footnote

Received May 17, 2010; revisions received Sept. 2 and Nov. 9, 2010; accepted Nov. 15, 2010.

Supplementary Material

File (ajp_168_05_495_01.pdf)

References

1.
Spirito A, Esposito-Smythers C: Attempted and completed suicide in adolescence. Annu Rev Clin Psychol 2006; 2:237–266
2.
Shaffer D, Gutstein J: Suicide and attempted suicide, in Child and Adolescent Psychiatry, 4th ed. Edited by, Rutter M, Taylor E. Oxford, England, Blackwell Scientific, 2002
3.
UK Department of Health: National Suicide Prevention Strategy for England. London, UK Department of Health, 2002
4.
The Surgeon General's Call to Action to Prevent Suicide. Washington, DC, US Public Health Service, 1999
5.
Bridge JA, Goldstein TR, Brent DA: Adolescent suicide and suicidal behavior. J Child Psychol Psychiatry 2006; 47:372–394
6.
Cavanagh JT, Carson AJ, Sharpe M, Lawrie SM: Psychological autopsy studies of suicide: a systematic review. Psychol Med 2003; 33:395–405
7.
King CA, Merchant CR: Social and interpersonal factors relating to adolescent suicidality: a review of the literature. Arch Suicide Res 2008; 12:181–196
8.
Hawton K, James A: Suicide and deliberate self harm in young people. BMJ 2005; 330:891–894
9.
Cooper J, Kapur N, Webb R, Lawlor M, Guthrie E, Mackway-Jones K, Appleby L: Suicide after deliberate self-harm: a 4-year cohort study. Am J Psychiatry 2005; 162:297–303
10.
Brent DA, Emslie GJ, Clarke GN, Asarnow J, Spirito A, Ritz L, Vitiello B, Iyengar S, Birmaher B, Ryan ND, Zelazny J, Onorato M, Kennard B, Mayes TL, Debar LL, McCracken JT, Strober M, Suddath R, Leonard H, Porta G, Keller MB: Predictors of spontaneous and systematically assessed suicidal adverse events in the Treatment of SSRI-Resistant Depression in Adolescents (TORDIA) study. Am J Psychiatry 2009; 166:418–426
11.
Vitiello B, Silva SG, Rohde P, Kratochvil CJ, Kennard BD, Reinecke MA, Mayes TL, Posner K, May DE, March JS: Suicidal events in the Treatment for Adolescents With Depression Study (TADS). J Clin Psychiatry 2009; 70:741–747
12.
Goodyer I, Dubicka B, Wilkinson P, Kelvin R, Roberts C, Byford S, Breen S, Ford C, Barrett B, Leech A, Rothwell J, White L, Harrington R: Selective serotonin reuptake inhibitors (SSRIs) and routine specialist care with and without cognitive behaviour therapy in adolescents with major depression: randomised controlled trial. BMJ 2007; 335:142
13.
Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P, Williamson D, Ryan N: Schedule for Affective Disorders and Schizophrenia for School-Age Children–Present and Lifetime Version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry 1997; 36:980–988
14.
Klein RG: Lifetime Schedule for Affective Disorders and Schizophrenia for Adolescents (12–19 years): Kiddie-SADS-Lifetime (K-SADS-L). Pittsburgh, Pa, University of Pittsburgh, 1993
15.
Poznanski EO, Grossman JA, Buchsbaum Y, Banegas M, Freeman L, Gibbons R: Preliminary studies of the reliability and validity of the Children's Depression Rating Scale. J Am Acad Child Adolesc Psychiatry 1984; 23:191–197
16.
Epstein NB, Baldwin LM, Bishop DS: The McMaster Family Assessment Device. J Marital Fam Ther 1983; 9:171–180
17.
Goodyer IM, Herbert J, Tamplin A, Secher SM, Pearson J: Short-term outcome of major depression, II: life events, family dysfunction, and friendship difficulties as predictors of persistent disorder. J Am Acad Child Adolesc Psychiatry 1997; 36:474–480
18.
Goldberg DP: General Health Questionnaire–28. London, Institute of Psychiatry, 1981
19.
Kutner MH, Nachtsheim CJ, Neter J: Applied Linear Regression Models, 4th ed. Columbus, Ohio, McGraw-Hill/Irwin, 2004
20.
Kraemer HC: Signal detection methods and predictions of treatment response (ROC4 program download). http://mirecc.stanford.edu/streams.html
21.
Kraemer HC: Evaluating Medical Tests: Objective and Quantitative Guidelines. Newbury Park, Calif, Sage Publications, 1992
22.
Shaffer D, Gould MS, Brasic J, Ambrosini P, Fisher P, Bird H, Aluwahlia S: A Children's Global Assessment Scale (CGAS). Arch Gen Psychiatry 1983; 40:1228–1231
23.
March J, Silva S, Petrycki S, Curry J, Wells K, Fairbank J, Burns B, Domino M, McNulty S, Vitiello B, Severe J: Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: Treatment for Adolescents With Depression Study (TADS) randomized controlled trial. JAMA 2004; 292:807–820
24.
Brent D, Emslie G, Clarke G, Wagner KD, Asarnow JR, Keller M, Vitiello B, Ritz L, Iyengar S, Abebe K, Birmaher B, Ryan N, Kennard B, Hughes C, DeBar L, McCracken J, Strober M, Suddath R, Spirito A, Leonard H, Melhem N, Porta G, Onorato M, Zelazny J: Switching to another SSRI or to venlafaxine with or without cognitive behavioral therapy for adolescents with SSRI-resistant depression: the TORDIA randomized controlled trial. JAMA 2008; 299:901–913
25.
Goodyer IM, Herbert J, Tamplin A, Altham PM: Recent life events, cortisol, dehydroepiandrosterone, and the onset of major depression in high-risk adolescents. Br J Psychiatry 2000; 177:499–504
26.
Hawton K, Fagg J, Simkin S: Deliberate self-poisoning and self-injury in children and adolescents under 16 years of age in Oxford, 1976–1993. Br J Psychiatry 1996; 169:202–208
27.
Joiner TEJ: Why People Die by Suicide. Cambridge, Mass, Harvard University Press, 2005
28.
Ribeiro JD, Joiner TE: The interpersonal-psychological theory of suicidal behavior: current status and future directions. J Clin Psychol 2009; 65:1291–129
29.
American Psychiatric Association: DSM-5 Development: non-suicidal self-injury. http://www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=443
30.
Diamond GS, Wintersteen MB, Brown GK, Diamond GM, Gallop R, Shelef K, Levy S: Attachment-based family therapy for adolescents with suicidal ideation: a randomized controlled trial. J Am Acad Child Adolesc Psychiatry 2010; 49:122–131
31.
Wood A, Trainor G, Rothwell J, Moore A, Harrington R: Randomized trial of group therapy for repeated deliberate self-harm in adolescents. J Am Acad Child Adolesc Psychiatry 2001; 40:1246–1253
32.
Hazell PL, Martin G, McGill K, Kay T, Wood A, Trainor G, Harrington R: Group therapy for repeated deliberate self-harm in adolescents: failure of replication of a randomized trial. J Am Acad Child Adolesc Psychiatry 2009; 48:662–670
33.
Harrington R, Kerfoot M, Dyer E, McNiven F, Gill F, Harrington V, Woodham A, Byford S: Randomized trial of a home-based family intervention for children who have deliberately poisoned themselves. J Am Acad Child Adolesc Psychiatry 1998; 37:512–518
34.
Lynch TR, Trost WT, Salsman N, Linehan MM: Dialectical behavior therapy for borderline personality disorder. Annu Rev Clin Psychol 2007; 3:181–205
35.
Rathus JH, Miller AL: Dialectical behavior therapy adapted for suicidal adolescents. Suicide Life Threat Behav 2002; 32:146–157
36.
Katz LY, Cox BJ, Gunasekara S, Miller AL: Feasibility of dialectical behavior therapy for suicidal adolescent inpatients. J Am Acad Child Adolesc Psychiatry 2004; 43:276–282

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 495 - 501
PubMed: 21285141

History

Received: 17 May 2010
Revision received: 2 September 2010
Revision received: 9 November 2010
Accepted: 15 November 2010
Published online: 1 May 2011
Published in print: May 2011

Authors

Details

Paul Wilkinson, M.D., M.R.C.Psych.
From the Developmental Psychiatry Section, Department of Psychiatry, Cambridge University, Cambridge, England; the Department of Child and Adolescent Psychiatry, Manchester University, Manchester, England; and the Royal Manchester Children's Hospital, Pendlebury, Manchester.
Raphael Kelvin, M.R.C.Psych.
From the Developmental Psychiatry Section, Department of Psychiatry, Cambridge University, Cambridge, England; the Department of Child and Adolescent Psychiatry, Manchester University, Manchester, England; and the Royal Manchester Children's Hospital, Pendlebury, Manchester.
Chris Roberts, Ph.D.
From the Developmental Psychiatry Section, Department of Psychiatry, Cambridge University, Cambridge, England; the Department of Child and Adolescent Psychiatry, Manchester University, Manchester, England; and the Royal Manchester Children's Hospital, Pendlebury, Manchester.
Bernadka Dubicka, M.D., M.R.C.Psych.
From the Developmental Psychiatry Section, Department of Psychiatry, Cambridge University, Cambridge, England; the Department of Child and Adolescent Psychiatry, Manchester University, Manchester, England; and the Royal Manchester Children's Hospital, Pendlebury, Manchester.
Ian Goodyer, M.D., F.R.C.Psych.
From the Developmental Psychiatry Section, Department of Psychiatry, Cambridge University, Cambridge, England; the Department of Child and Adolescent Psychiatry, Manchester University, Manchester, England; and the Royal Manchester Children's Hospital, Pendlebury, Manchester.

Notes

Address correspondence and reprint requests to Dr. Wilkinson, Developmental Psychiatry Section, Department of Psychiatry, Cambridge University, Cambridge CB2 2AH, UK; [email protected] (e-mail).

Funding Information

The authors report no financial relationships with commercial interests.Supported by grant 97/29/01 from the U.K. National Health Service Health Technology Assessment Programme.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Get Access

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - American Journal of Psychiatry

PPV Articles - American Journal of Psychiatry

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share