Deliberate self-harm is a widespread yet often hidden problem in adolescents, especially females, which shows both similarities and differences internationally.

There is evidence to suggest that both psychological characteristics and stressful life events are contributory factors in deliberate self-harm among young people. These links, and the possibility of a dose-response relationship between self-harm and both psychological health and life events, were investigated in the context of a seven-country school-based study. Over 30,000, mainly 15 and 16 year olds, completed anonymous questionnaires at secondary schools in Belgium, England, Hungary, Ireland, the Netherlands, Norway and Australia. Pupils were asked to report on thoughts and episodes of self-harm, complete scales on depression and anxiety symptoms, impulsivity and self-esteem and indicate stressful events in their lives. Level and frequency of self-harm was judged according to whether they had thought about harming themselves or reported single or multiple self-harm episodes. Multinomial logistic regression assessed the extent to which psychological characteristics and stressful life events distinguished between adolescents with different self-harm histories. Increased severity of self-harm history was associated with greater depression, anxiety and impulsivity and lower self-esteem and an increased prevalence of all ten life event categories. Female gender, higher impulsivity and experiencing the suicide or self-harm of others, physical or sexual abuse and worries about sexual orientation independently differentiated single-episode self-harmers from adolescents with self-harm thoughts only. Female gender, higher depression, lower self-esteem, experiencing the suicide or self-harm of others, and trouble with the police independently distinguished multiple- from single-episode self-harmers. The findings reinforce the importance of psychological characteristics and stressful life events in adolescent self-harm but nonetheless suggest that some factors are more likely than others to be implicated

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This international comparative study addresses differences between adolescents who engage in deliberate self‐harm (DSH) and who receive help following the DSH episode versus those who do not. A standardised self‐report questionnaire was completed by pupils aged 14–17 in Australia, Belgium, England, Hungary, Ireland, The Netherlands, and Norway (n = 30 532). An act of DSH in the year prior to the study was reported by 1660 participants. Nearly half (48.4%) had not received any help following DSH, 32.8% had received help from their social network only and 18.8% from health services. Except for Hungary, cross‐national comparisons revealed remarkably similar findings. Adolescents who had been in contact with health services following DSH reported more often a wish to die, lethal methods, alcohol/drug problems and DSH in the family compared to those who had not. However, those who received no help or help from their social network only were also heavily burdened.

Questionnaire data from 211 adolescents and follow-up data recorded 18 months later were employed to test main effects and stress-buffering effects of negative life events, on-going stressors and social support from family and friends on mental health. Negative life events, change from baseline level of on-going adversities and social support all contributed significantly to subsequent symptom scores, although negative life events only reached borderline significance among boys. There was evidence in favour of the buffer hypothesis for boys: negative life events had a significantly stronger effect when social support from peers was low, and long-lasting adversities had a significantly stronger effect when social support from parents was low. Both these two-way interaction effects among boys were significantly different from the corresponding trends among girls. Since the scores on both the independent and dependent variables are based on subjective self-reports, the results may have been affected by various types of response bias. The probabilities of such bias effects are discussed.