Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-22T16:42:23.425Z Has data issue: false hasContentIssue false

Sporadic and recurrent non-suicidal self-injury before age 14 and incident onset of psychiatric disorders by 17 years: prospective cohort study

Published online by Cambridge University Press:  08 March 2018

Paul O. Wilkinson*
Affiliation:
University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
Tianyou Qiu
Affiliation:
University of Cambridge, Cambridge, UK and University of British Columbia, Vancouver, Canada
Sharon Neufeld
Affiliation:
University of Cambridge, Cambridge, UK
Peter B. Jones
Affiliation:
University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
Ian M. Goodyer
Affiliation:
University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
*
Correspondence: Paul O. Wilkinson, MD MRCPsych, University of Cambridge and Cambridgeshire and Peterborough National Health Service Foundation Trust, Douglas House, 18b Trumpington Road, Cambridge, CB2 8AH. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

Non-suicidal self-injury (NSSI) is highly prevalent in adolescents and may be a behavioural marker for emergent mental illnesses.

Aims

To determine whether sporadic or recurrent NSSI up to the age of 14 years predicted increased risk of new onset of psychiatric disorder in the subsequent 3 years, independent of psychiatric symptoms and social risk factors.

Method

In total, 945 individuals aged 14 years with no past/present history of mental illness completed a clinical interview and completed a questionnaire about NSSI at the ages of 14 and 17 years.

Results

Recurrent NSSI at baseline predicted total disorders, depression and eating disorders. Sporadic baseline NSSI predicted new onset of anxiety disorders only.

Conclusions

NSSI (especially recurrent NSSI) in the early-adolescent years is a behavioural marker of newly emerging mental illnesses. Professionals should treat both recurrent and sporadic NSSI as important risk factors, and prevention strategies could be targeted at this vulnerable group.

Declaration of interest

None.

Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Royal College of Psychiatrists 2018

Prevalence of self-harm is high, varying from 8 to 25% in recent community surveys of young people.Reference Plener, Libal, Keller, Fegert and Muehlenkamp1Reference Swannell, Martin, Page, Hasking and St John3 Reduction of self-harm is a key public health target in the UK and internationally.4 Although some self-harm is attempted suicide, there is increasing interest in the phenomenon of non-suicidal self-injury (NSSI) – harming the surface of one's body but without any intent to end life. Motivations include: to relieve distressing affect, self-punishment, to communicate distress to others, to fit in with peers.Reference Briere and Gil5 This delineation between suicidal and non-suicidal self-harm is controversial, with some considering the distinction from suicide attempts valid but others arguing that suicidal and non-suicidal self-harm are related behaviours and should not be separated given that intent is often not clear, and the fact that many people engage in both.Reference Nock6Reference Kapur, Cooper, O'Connor and Hawton9

If the behaviour of NSSI is discernible and is indeed ‘non-suicidal’, is it of itself clinically important given the large proportion of adolescents with NSSI but no history of mental illness?Reference Nock, Joiner, Gordon, Lloyd-Richardson and Prinstein10Reference Hintikka, Tolmunen, Rissanen, Honkalampi, Kylma and Laukkanen12 A recent community cohort study has demonstrated that NSSI by the age of 16 predicted depressive and anxiety disorders and substance use at age 18.Reference Mars, Heron, Crane, Hawton, Lewis and Macleod11 NSSI has also been associated with future attempted and completed suicide, in all age groups.Reference Cooper, Kapur, Webb, Lawlor, Guthrie and Mackway-Jones13, Reference Wilkinson, Kelvin, Roberts, Dubicka and Goodyer14 According to Joiner's interpersonal-psychological theory of suicidal behavior, NSSI may increase suicide risk through increased habituation to physical pain.Reference Ribeiro and Joiner15 Most adolescents who self-harm stop doing so by their twenties, so for many it is a temporary hazardous behaviour, confined to adolescence.Reference Moran, Coffey, Romaniuk, Olsson, Borschmann and Carlin2 Some adolescents try NSSI once, others engage in it hundreds of times. A recent international epidemiological study demonstrated that only 37% of adolescents who engage in NSSI do so more than four times in their life, suggesting it is a low-frequency sporadic behaviour in the majority.Reference Plener, Libal, Keller, Fegert and Muehlenkamp1 Repeated self-harm is associated with higher risk of completed suicide than single episodes.Reference Zahl and Hawton16 Whether repeated NSSI is a stronger marker for risk of subsequent mental illness than single-episode NSSI is not known.Reference Lowenstein17 And whether single episodes of NSSI predict future mental illness is not known.

NSSI may be a relatively common and non-specific risk for subsequent mental illness but may itself be a correlated outcome of other established social-risk experiences. For example exposure to childhood adversity is known to increase the risk for both NSSI and mental illness, including in this sample of adolescents.Reference Lowenstein17, Reference Dunn, Abbott, Croudace, Wilkinson, Jones and Herbert18 In addition, more proximal environmental adversities, such as current peer group or family difficulties are also likely to increase risk of both mental illness and NSSI.Reference Lowenstein17, Reference van Harmelen, Gibson, St Clair, Owens, Brodbeck and Dunn19 To establish a valid correlation between NSSI and subsequent psychiatric disorder requires the known effects of childhood maltreatment and proximal environmental difficulties to have been taken into account. Some individuals with NSSI may be at conjoint risk for this hazardous behaviour and subsequent psychiatric caseness because of an underlying common general emotional/behavioural liability towards both. In this sample such a general latent distress trait has been reportedReference Brodbeck, Abbott, Goodyer and Croudace20 and is associated with the emergence of all mental illnesses and NSSI over the 14- to 17-year age range (available from authors on request).Reference Brodbeck, Goodyer, Abbott, Dunn, St Clair and Owens21 Here, we report a prospective study that investigates the general hypothesis that NSSI by 14 years of age is a behavioural marker for incident onset mental illness by 17 years. More specifically we hypothesise that any such association is confined to those with recurrent episodes of NSSI. We reason that single-episode NSSI may be a sporadic event in the teen population at large of no marked prognostic significance. We test whether there is an independent association between NSSI and subsequent mental illness, or whether this is entirely confounded by being located at the higher end of a general latent distress trait and/or environmental adversity.

Method

Sample

In total, 1238 adolescents aged 14 years old were recruited from schools in Cambridgeshire and Suffolk, UK, in 2005–2007, for the Roots study. Recruitment was by invitation letters and (for 14/18 schools) presentations in school assemblies. Participants had follow-up interviews at the age of 17, from 2008 to 2010. Further details of sample recruitment and representativeness are found elsewhere.Reference Goodyer, Croudace, Dunn, Herbert and Jones22

Measures

NSSI was measured by a binary self-report question: ‘Have you ever tried to hurt yourself on purpose, without trying to kill yourself (for example burning, cutting, or scratching yourself)?’ as part of a new Drugs and Self Injury Questionnaire (DASI), a ten-item self-report measure assessing risk-taking behaviour. A further question established frequency of NSSI; participants were asked to mark one of four frequency bands, relating to maximum number of episodes of NSSI per year: never, once, 2–3, 4 or more. Groups were classified as two or more times per year (recurrent NSSI), maximum once per year (sporadic NSSI) and never NSSI, in keeping with our a priori hypothesis. Use of a single item to measure the discrete behaviour of self-harm is consistent with other published literature in the field.Reference Mars, Heron, Crane, Hawton, Lewis and Macleod11 Reliability and validity of the DASI have been demonstrated using two methods: NSSI prevalence was nearly identical in two independent community cohort studies both at ages 14 (cohort effect odds ratio (OR) = 0.98) and 17 (cohort effect OR = 1.00), once differences in demographic, psychological and environmental variables were controlled for (details available from the authors on request). Second, the DASI item showed high convergent validity with the multi-item Self-Harm InventoryReference Sansone, Wiederman and Sansone23 (SHI, point-biserial correlation between the SHI total and DASI self-ham question r = 0.66, P<0.0005) in a third sample (details available from the authors on request).

Presence or absence of DSM-IV psychiatric disorder24 was established by the Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version (K-SADS-PL) interviews at the ages of 14 and 17 years.Reference Kaufman, Birmaher, Brent, Rao, Flynn and Moreci25 All anxiety disorders were combined to one group because of sample size. An ‘any psychiatric diagnosis’ variable was scored as positive if participants scored ‘yes’ for any diagnosis (DSM-IV depressive disorders, anxiety disorders, eating disorders, behaviour disorders, substance use disorders, together with participants with respective threshold disorders defined as full psychosocial impairment, but one fewer symptom than needed for DSM-IV diagnosis). Participants with psychiatric diagnosis before/at the age of 14 were excluded to remove the potential for reverse causality (psychiatric illness → NSSI).

Potential confounders

Depressive symptoms were measured by the Mood and Feelings QuestionnaireReference Costello and Angold26 and anxiety symptoms by the Revised Children's Manifest Anxiety Scale.Reference Reynolds and Richmond27 From these items a bifactor analysis revealed an underlying ‘general distress factor’ shown to predict onsets of depressive, anxiety and behavioural disorders between 14 and 17 years in this cohort.Reference Brodbeck, Abbott, Goodyer and Croudace20, Reference Brodbeck, Goodyer, Abbott, Dunn, St Clair and Owens21

Evaluation of the early family environment and exposure to adversities before the age of 5 years was measured by information obtained from one parent respondent (>90% biological mothers) using the Cambridge Early Experiences Interview.Reference Dunn, Abbott, Croudace, Wilkinson, Jones and Herbert18 Latent class analysis was used to assign all participants to one of four groups: optimal family environment (63%) and three suboptimal ones labelled atypical (7%), discordant (24%) and hazardous family environments (6%). The latter three all implicate exposure to an adverse parenting experience. For the purposes of this analysis, the latter three groups were collapsed into one ‘childhood adversity’ group.

A parent/caregiver rated the general functioning subscale of the McMaster Family Assessment Device, to measure baseline family functioning.Reference Epstein, Baldwin and Bishop28 The Cambridge Friendships Questionnaire was used to measure peer relationships at baseline.Reference Goodyer, Herbert, Tamplin, Secher and Pearson29 This questionnaire contains eight items including both positive (for example ‘Can you confide in your friends?’) and negative (for example ‘Do people who aren't your friends laugh at you or tease you in a hurtful way?’) aspects of peer relationships.

A Classification of Residential Neighborhoods (ACORN) was used to capture the socioeconomic status of participants, derived via postcodes (www.caci.co.uk). ACORN categories were collapsed into three groups – low (hard-pressed and moderate means), middle (comfortably off) and high (urban prosperity and wealthy achiever) socioeconomic status.

Statistical analysis

Logistic regressions were performed with presence/absence of psychiatric disorder as the outcome variable. As the purpose of the analysis was to test for predictors of onset of new disorder aged 14–17, participants with past or present disorder at 14 were excluded. Regressions compared groups defined by NSSI: sporadic v. never, recurrent v. never and recurrent v. sporadic. Three levels of hierarchical regressions were performed: the first model included NSSI, gender and socioeconomic status as covariates; the second model also included baseline psychiatric symptoms at age 14 (general distress); the third model also included early environmental adversity, baseline peer relationships and baseline family function. An effect size (equivalent to Cohen's d) was estimated for the NSSI-disorder association in model 3, using the method of Chinn.Reference Chinn30 Analyses were conducted on Stata 14. The Roots study was approved by the Cambridgeshire two local research ethics committee.

Results

In total, 1198/1238 (97%) adolescents had baseline data on psychiatric disorder and NSSI, with 12% (n = 144) reporting any lifetime NSSI. We excluded 252 (21%) because of past or current psychiatric disorder, of whom 76 (30%) had a history of NSSI. Of the remaining adolescents, 27 (2.9%) had recurrent NSSI (2–3 times per year: 14; at least four times per year: 13); 40 (4.2%) had sporadic NSSI; one reported NSSI but not frequency, and was excluded from further analysis. Of the final 945 participants, 443 (47%) were male and 842/911 (92%) with ethnicity information were White. There was data on diagnosis at follow-up for 848 (90%). Demographic information on the baseline sample and those with follow-up data is presented in Table 1. Those with and without follow-up data did not differ in terms of gender, ethnic group (white v. other), baseline general distress or socioeconomic status (all P > 0.5). However, those with recurrent NSSI were more likely to remain in the study than those with less frequent NSSI (likelihood ratio χ2(d.f.=2) = 7.7, P = 0.021).

Table 1 Baseline sample demographics for whole sample and those with follow-up data

NSSI, non-suicidal self-injury.

Table 2 shows the proportion of participants with a new psychiatric diagnosis in the follow-up period. In total, 17% of participants had a new onset of at least one disorder, with the most common disorders being major depression (8%) and anxiety disorders (7%). Table 3 and Fig. 1 show the associations between NSSI and future diagnoses. Results are not presented for disruptive behaviour disorders (conduct and oppositional disorders) and alcohol/substance use disorders because of the small numbers in the sample, (and only 1–2 of those with baseline NSSI having onset of a new disorder).

Adjusted analyses, group v. no NSSI: *P≤0.05, **P≤0.01, ***P≤0.001 (analyses adjusted for gender, socioeconomic status, baseline general distress, early environmental adversity, baseline peer relationships and baseline family function).

Fig. 1 Unadjusted risk of incidence of psychiatric disorder aged 14–17 dependent on non-suicidal self-injury (NSSI) before the age of 14.

Table 2 New incidences of psychiatric diagnoses from ages 14 to 17

Table 3 Associations between baseline non-suicidal self-injury and onset of psychiatric disorder

NSSI, non-suicidal self-injury; N/A, not applicable.

a. Adjusted for gender, socioeconomic status (SES).

b. Adjusted for gender, SES, baseline general distress.

c. Adjusted for gender, SES, baseline general distress, early environmental adversity, baseline peer relationships, and baseline family function.

*P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001.

Participants with recurrent NSSI had significantly greater risk of any new psychiatric diagnosis than those with no NSSI (OR = 4.32, 95% CI 1.92–9.73). This association was attenuated but remained statistically significant after controlling for baseline general distress (OR = 2.93, 95% CI 1.26–6.84). Controlling for environment had little effect on this risk (OR = 3.20, 95% CI 1.31–7.78). The risk for those with sporadic NSSI at baseline was intermediate between those with none and recurrent NSSI, but differences were not statistically significant. Risk for depression was significantly higher in those with recurrent v. no baseline NSSI (OR = 4.65, 95% CI 1.90–11.38). This remained significant after controlling for baseline general distress and environment (OR = 2.79, 95% CI 1.02–7.66, effect size = 0.57). Sporadic NSSI was not associated with risk of depression (OR = 1.32, 95% CI 0.41–4.21, effect size = 0.15). Recurrent NSSI was associated with greater risk for onset of eating disorders than no NSSI, even after controlling for symptoms and environment (OR = 9.96, 95% CI 2.52–39.37).

A different pattern was seen for anxiety disorders. Risk was slightly (but non-significantly) greater in the sporadic compared with the recurrent NSSI group. Risk was significantly greater for those with sporadic v. no NSSI, even after controlling for symptoms and environment (OR = 2.93, 95% CI 1.05–8.16, effect size = 0.59), but not for those with recurrent NSSI (OR = 2.07, 95% CI 0.62–6.98, effect size = 0.40). It is important to state here that confidence intervals are in some cases, especially for individual disorders, quite wide, so those results need to be interpreted with caution.

Discussion

Our paper set out to examine whether NSSI before the age of 14 predicted incidence of psychiatric illness between the ages of 14 and 17; to examine if this is only true for recurrent NSSI; and to test whether any association could be the result of confounding by common environmental risk factors or common underlying latent traits for psychological distress.

We replicated the findings of the UK Avon Longitudinal Study of Parents and Children (ALSPAC) study that adolescent NSSI does predict onset of psychiatric disorder in later adolescence.Reference Mars, Heron, Crane, Hawton, Lewis and Macleod11 As with ALSPAC, this was not specific to any disorder, and rates were increased across depressive, anxiety and eating disorders. This finding in two independent prospective population-based cohort studies demonstrates that services should take NSSI seriously, as it is not just suicide attempts that indicate increased risk of poor outcomes. Our age range for onsets was younger (14–17) than ALSPAC (16–18), and we have thus demonstrated that pre-/early-adolescent NSSI (not just later NSSI) is also a strong risk marker.

As predicted, adolescents with recurrent NSSI were at greatest risk for onset of future psychiatric disorder. An exception to this was our finding that sporadic NSSI (defined as no more than once per year) led to significantly greater risk of onset of anxiety disorders. The lack of significant association between recurrent NSSI and anxiety disorders may be a type 2 error, given that the effect size was close to the ‘moderate’ threshold of 0.5. However, the lack of significant association between sporadic NSSI and depression is unlikely to be a meaningful type 2 error, given the low effect size (0.15).

Our study is the first to compare outcomes of sporadic (once per year) against more recurrent NSSI. We found that even NSSI engaged in only once per year carries greatly increased risk of onset of anxiety disorders. Thus, professionals need to take adolescents seriously when they present even with a single episode of NSSI. They are at greatly increased risk of onset of mental illness, and appropriate and effective help for them at this stage may mitigate risk.

Potential explanations for the association between NSSI and future mental illness

A possible explanation for the NSSI–mental illness association is that there is a common latent distress trait liability on which both NSSI and mental illness are located. Therefore, adolescents with higher levels of psychological distress may be more likely to engage in NSSI and meet criteria for a full psychiatric disorder. Controlling for general distress at the age of 14 did lead to some attenuation of our NSSI–illness associations, particularly for depression. But this attenuation was only partial. However, participants may have had a subthreshold episode of symptoms (which led to NSSI) before the age 14, but recovered by the time of the assessment at age 14. They may have then developed an episode of DSM-IV disorder between 14 and 17. As we did not ask about symptoms at their worst pre-14, we cannot rule this out. Thus, it is possible that the common latent distress vulnerability is present, but symptoms are fluctuating.

It is also possible that common environmental risk factors lead to this shared risk for NSSI and mental illness. We measured several potential common environmental risk factors: early family adversity, family functioning at 14 as rated by a parent (and hence not confounded by adolescent symptoms) and friendship functioning at 14. Controlling for these aspects of social environment had little effect on the strength of our NSSI–illness associations, suggesting this is not an explanation.

We think chance and bias are unlikely explanations given that these findings have been found in two independent prospective cohort studies, in both cases with a low probability of type 1 errors. This leaves two possible explanations: residual confounding and causality.

Residual confounding

An observational study cannot measure all possible confounders. Although we measured current peer and family relationships and early adversity, these measures are likely not to capture all elements of these environments and there was no measure of the learning environment. However, we think it unlikely that unmeasured environment could account for the large proportion of the influence on disorder unaccounted for. It is also possible that biological factors (in particular genetic) may have been the common risk factors for NSSI and later disorder. Although this may have had some effect, it is unlikely to be anything like the full explanation: twin and adoption studies have demonstrated that only a small proportion of the risks for NSSI and adolescent diagnosis of depression are genetic.Reference Rice, Harold and Thapar31, Reference Maciejewski, Creemers, Lynskey, Madden, Heath and Statham32

Causality

If results are not the result of confounding, there is the possibility that early-adolescent NSSI may directly increase the risk for later psychiatric illness. Although NSSI can lead to short-term relief of negative affect, it also leads to a range of negative social and psychological consequences, including feelings of shame or guilt, teasing and rejection by peers, or negative sanctions from teachers and parents.Reference Wilkinson33 Indeed, NSSI at age 12 has been demonstrated to be associated with later harsh punishment by parents.Reference Baetens, Claes, Onghena, Grietens, Van Leeuwen and Pieters34 Such negative social consequences can lead to a deteriorating cycle of impaired social relationships and negative emotions, culminating in mental illness. Further longitudinal research is needed that delineates such negative consequences of NSSI and tests whether it mediates the associations between NSSI and later disorder.

Strengths and limitations

The strengths of this study include the prospective measurement at multiple time points, and the 3-year follow-up, with little attrition. We excluded participants with mental illness (and those just below diagnosis thresholds) before the age of 14, thus reducing reverse causality (mental illness causing NSSI as well as later mental illness). We had a wide range of measures of the environment, which we were able to investigate as potential confounders for the NSSI–illness association.

As stated above, our main limitation is that we only measured distress at age 14, not at the worst point before then. Therefore, high levels of distress at the time of NSSI before baseline were not captured, and may have confounded results. Our sample had relatively high socioeconomic status compared with the general population, so results may not generalise to those of lower SES. Of note, self-harm and mental illness are associated with lower socioeconomic status and so rates of these may have been lower than in the general population. Our moderate sample size meant that we had limited power to delineate the effects of sporadic and recurrent NSSI, particularly for specific disorders; we did not find any significant differences between the effects of recurrent and sporadic NSSI. We are therefore unable to conclude that recurrent NSSI has a stronger effect on disorder risk than sporadic NSSI – just that recurrent NSSI is significantly associated with disorder risk. We did not collect data on suicide attempts, and so cannot compare outcomes of those with suicidal and non-suicidal self-harm. We also did not collect data on self-harm specifically between the ages 14 and 17, so we cannot provide data on whether NSSI predicted later self-harm.

In summary, this study demonstrates that NSSI, both recurrent and sporadic NSSI, is a strong marker for greatly increased risk of mental illness between the ages of 14 and 17, especially anxiety and depressive disorders. Professionals should therefore treat cases of NSSI seriously, and consider offering treatment to mitigate risks of future deterioration. Such an association is not likely to be solely because of the effects of common risk factors. Further research is needed to elucidate the mechanisms.

Funding

The Roots study was funded by the Wellcome Trust (Grant no. 074296).

References

1Plener, PL, Libal, G, Keller, F, Fegert, JM, Muehlenkamp, JJ. An international comparison of adolescent non-suicidal self-injury (NSSI) and suicide attempts: Germany and the USA. Psychol Med 2009; 39: 1549–58.Google Scholar
2Moran, P, Coffey, C, Romaniuk, H, Olsson, C, Borschmann, R, Carlin, JB, et al. The natural history of self-harm from adolescence to young adulthood: a population-based cohort study. Lancet 2012; 379: 236–43.Google Scholar
3Swannell, SV, Martin, GE, Page, A, Hasking, P, St John, NJ. Prevalence of nonsuicidal self-injury in nonclinical samples: systematic review, meta-analysis and meta-regression. Suicide Life Threat Behav 2014; 44: 273303.Google Scholar
4Department of Health. Improving Outcomes and Supporting Transparency. Part 1A: A Public Health Outcomes Framework for England, 2013–2016. Department of Health, 2012 (https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/263658/2901502_PHOF_Improving_Outcomes_PT1A_v1_1.pdf).Google Scholar
5Briere, J, Gil, E. Self-mutilation in clinical and general population samples: prevalence, correlates, and functions. Am J Orthopsychiatry 1998; 68: 609–20.Google Scholar
6Nock, MK. Self-injury. Annu Rev Clin Psychol 2010; 6: 339–63.Google Scholar
7Muehlenkamp, JJ, Kerr, PL. Untangling a complex web: how non-suicidal self-injury and suicide attempts differ. Prev Res 2010; 17: 810.Google Scholar
8Victor, SE, Klonsky, ED. Correlates of suicide attempts among self-injurers: a meta-analysis. Clin Psychol Rev 2014; 34: 282–97.Google Scholar
9Kapur, N, Cooper, J, O'Connor, RC, Hawton, K. Non-suicidal self-injury v. attempted suicide: new diagnosis or false dichotomy? Br J Psychiatry 2013; 202: 326–8.Google Scholar
10Nock, MK, Joiner, TE Jr, Gordon, KH, Lloyd-Richardson, E, Prinstein, MJ. Non-suicidal self-injury among adolescents: diagnostic correlates and relation to suicide attempts. Psychiatry Res 2006; 144: 6572.Google Scholar
11Mars, B, Heron, J, Crane, C, Hawton, K, Lewis, G, Macleod, J, et al. Clinical and social outcomes of adolescent self harm: population based birth cohort study. BMJ 2014; 349: g5954.Google Scholar
12Hintikka, J, Tolmunen, T, Rissanen, ML, Honkalampi, K, Kylma, J, Laukkanen, E. Mental disorders in self-cutting adolescents. J Adolesc Health 2009; 44: 464–7.Google Scholar
13Cooper, J, Kapur, N, Webb, R, Lawlor, M, Guthrie, E, Mackway-Jones, K, et al. Suicide after deliberate self-harm: a 4-year cohort study. Am J Psychiatry 2005; 162: 297303.Google Scholar
14Wilkinson, P, Kelvin, R, Roberts, C, Dubicka, B, Goodyer, I. Clinical and psychosocial predictors of suicide attempts and nonsuicidal self-injury in the adolescent depression antidepressants and psychotherapy trial (ADAPT). Am J Psychiatry 2011; 168: 495501.Google Scholar
15Ribeiro, JD, Joiner, TE. The interpersonal-psychological theory of suicidal behavior: current status and future directions. J Clin Psychol 2009; 65: 1291–9.Google Scholar
16Zahl, DL, Hawton, K. Repetition of deliberate self-harm and subsequent suicide risk: long-term follow-up study of 11,583 patients. Br J Psychiatry 2004; 185: 70–5.Google Scholar
17Lowenstein, LF. Youths who intentionally practise self-harm. Review of the recent research 2001–2004. Int J Adolesc Med Health 2005; 17: 225–30.Google Scholar
18Dunn, VJ, Abbott, RA, Croudace, TJ, Wilkinson, P, Jones, PB, Herbert, J, et al. Profiles of family-focused adverse experiences through childhood and early adolescence: the ROOTS project a community investigation of adolescent mental health. BMC Psychiatry 2011; 11: 109.Google Scholar
19van Harmelen, AL, Gibson, JL, St Clair, MC, Owens, M, Brodbeck, J, Dunn, V, et al. Friendships and family support reduce subsequent depressive symptoms in at-risk adolescents. PLoS One 2016; 11: e0153715.Google Scholar
20Brodbeck, J, Abbott, RA, Goodyer, IM, Croudace, TJ. General and specific components of depression and anxiety in an adolescent population. BMC Psychiatry 2011; 11: 191.Google Scholar
21Brodbeck, J, Goodyer, IM, Abbott, RA, Dunn, VJ, St Clair, MC, Owens, M, et al. General distress, hopelessness-suicidal ideation and worrying in adolescence: concurrent and predictive validity of a symptom-level bifactor model for clinical diagnoses. J Affect Disord 2014; 152–154: 299305.Google Scholar
22Goodyer, IM, Croudace, T, Dunn, V, Herbert, J, Jones, PB. Cohort profile: risk patterns and processes for psychopathology emerging during adolescence: the ROOTS project. Int J Epidemiology 2010; 39: 361–9.Google Scholar
23Sansone, RA, Wiederman, MW, Sansone, LA. The self-harm inventory (SHI): development of a scale for identifying self-destructive behaviors and borderline personality disorder. J Clin Psychol 1998; 54: 973–83.Google Scholar
24American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorder (4th edn) (DSM-IV). APA, 1994.Google Scholar
25Kaufman, J, Birmaher, B, Brent, D, Rao, UM, Flynn, C, Moreci, P, et al. 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: 980–8.Google Scholar
26Costello, EJ, Angold, A. Scales to assess child and adolescent depression: checklists, screens and nets. J Am Acad Child Adolesc Psychiatry 1988; 27: 726–37.Google Scholar
27Reynolds, CR, Richmond, BO. What I think and feel: a revised measure of children's manifest anxiety. J Abnorm Child Psychol 1978; 6: 271–80.Google Scholar
28Epstein, NB, Baldwin, LM, Bishop, DS. The McMaster family assessment device. J Marital Fam Ther 1983; 9: 171–80.Google Scholar
29Goodyer, 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: 474–80.Google Scholar
30Chinn, S. A simple method for converting an odds ratio to effect size for use in meta-analysis. Stat Med 2000; 19: 3127–31.Google Scholar
31Rice, F, Harold, G, Thapar, A. The genetic aetiology of childhood depression: a review. J Child Psychol Psychiatry 2002; 43: 6579.Google Scholar
32Maciejewski, DF, Creemers, HE, Lynskey, MT, Madden, PA, Heath, AC, Statham, DJ, et al. Overlapping genetic and environmental influences on nonsuicidal self-injury and suicidal ideation: different outcomes, same etiology? JAMA Psychiatry 2014; 71: 699705.Google Scholar
33Wilkinson, P. Non-suicidal self-injury. Eur Child Adolesc Psychiatry 2013; 22 (suppl 1): S759.Google Scholar
34Baetens, I, Claes, L, Onghena, P, Grietens, H, Van Leeuwen, K, Pieters, C, et al. The effects of nonsuicidal self-injury on parenting behaviors: a longitudinal analyses of the perspective of the parent. Child Adolesc Psychiatry Ment Health 2015; 9: 24.Google Scholar
Figure 0

Table 1 Baseline sample demographics for whole sample and those with follow-up data

Figure 1

Fig. 1 Unadjusted risk of incidence of psychiatric disorder aged 14–17 dependent on non-suicidal self-injury (NSSI) before the age of 14.

Adjusted analyses, group v. no NSSI: *P≤0.05, **P≤0.01, ***P≤0.001 (analyses adjusted for gender, socioeconomic status, baseline general distress, early environmental adversity, baseline peer relationships and baseline family function).
Figure 2

Table 2 New incidences of psychiatric diagnoses from ages 14 to 17

Figure 3

Table 3 Associations between baseline non-suicidal self-injury and onset of psychiatric disorder

Submit a response

eLetters

No eLetters have been published for this article.