Self-harm in primary school-aged children: Prospective cohort study

Introduction No prospective studies have examined the prevalence, antecedents or concurrent characteristics associated with self-harm in non-treatment-seeking primary school-aged children. Methods In this cohort study from Melbourne, Australia we assessed 1239 children annually from age 8–9 years (wave 1) to 11–12 years (wave 4) on a range of health, social, educational and family measures. Past-year self-harm was assessed at wave 4. We estimated the prevalence of self-harm and used multivariable logistic regression to examine associations with concurrent and antecedent factors. Results 28 participants (3% of the 1059 with self-harm data; 18 girls [3%], 10 boys [2%]) reported self-harm at age 11–12 years. Antecedent (waves 1–3) predictors of self-harm were: persistent symptoms of depression (sex-age-socioeconomic status adjusted odds ratio [aOR]: 7.8; 95% confidence intervals [CI] 2.6 to 24) or anxiety (aOR: 5.1; 95%CI 2.1 to 12), frequent bullying victimisation (aOR: 24.6; 95%CI 3.8 to 158), and recent alcohol consumption (aOR: 2.9; 95%CI 1.2 to 7.1). Concurrent (wave 4) associations with self-harm were: having few friends (aOR: 8.7; 95%CI 3.2 to 24), poor emotional control (aOR: 4.2; 95%CI 1.9 to 9.6), antisocial behaviour (theft—aOR: 3.1; 95%CI 1.2 to 7.9; carrying a weapon—aOR: 6.9; 95%CI 3.1 to 15), and being in mid-puberty (aOR: 6.5; 95%CI 1.5 to 28) or late/post-puberty (aOR: 14.4; 95%CI 2.9 to 70)

Frequent callers to crisis helplines: Who are they and why do they call?

OBJECTIVE: Frequent callers present a challenge for crisis helplines, which strive to achieve optimal outcomes for all callers within finite resources. This study aimed to describe frequent callers to Lifeline (the largest crisis helpline in Australia) and compare them with non-frequent callers, with a view to furthering knowledge about models of service delivery that might meet the needs of frequent callers. METHOD: Lifeline provided an anonymous dataset on calls made between December 2011 and May 2013. We assumed calls from the same (encrypted) phone number were made by the same person, and aggregated call level data up to the person level. Individuals who made 0.667 calls per day in any period from 1 week to the full 549 days for which we had data (i.e. 4.7 calls in 7 days, 20 calls in 30 days, 40 calls in 60 days, etc.) were regarded as frequent callers. RESULTS: Our analysis dataset included 411,725 calls made by 98,174 individuals, 2594 (2.6%) of whom met our definition of frequent callers. We identified a number of predictors of being a frequent caller, including being male or transgender, and never having been married. The odds increased with age until 55-64 years, and then declined. Suicidality, self-harm, mental health issues, crime, child protection and domestic violence issues all predicted being a frequent caller. CONCLUSIONS: Collectively, frequent callers have a significant impact on crisis lines, and solutions need to be found for responding to them that are in everybody's best interests (i.e. the frequent callers themselves, other callers, telephone crisis supporters who staff crisis lines, and those who manage crisis lines). In striking this balance, the complex and multiple needs of frequent callers must be taken into account

Predictors of suicide-related behaviors during treatment following a first episode of psychosis: the contribution of baseline, past, and recent factors

Background: Suicide-related behaviors (suicide attempts and suicides) are common in the early phase of psychotic disorders. Studies have examined risk factors among baseline and historical (i.e., past) variables, yet little is known about recent characteristics that increase suicide risk during treatment for first-episode psychosis (FEP). This study had two aims: first, to determine the relative importance of baseline, past, and recent variables to the prediction of suicide-related behaviors in patients with FEP; second, to identify recent characteristics that exert most influence on suicide risk levels and which could become foci of preventive interventions. Methods: This was a case-control study of 180 patients from a cohort entering a specialist FEP service between 1/12/2002 and 30/11/2005. Data for 72 cases and 108 matched controls were obtained via medical record audit. Multivariate logistic regression models assessed the contribution of baseline, past, and recent domains. Suicide attempt or suicide during treatment was the outcome variable. Results: The strongest risk factors for suicide-related behaviors were: baseline depressive symptoms, baseline suicidal ideation/intent, past negative events, past non-suicidal self-injurious behavior, recent negative events, recent depressive symptoms, and recent non-suicidal self-injurious behavior. However, when these were entered into a hierarchical logistic regression model, only recent non-suicidal self-injurious behavior (AOR. =. 72.96, p