Relationships of Pubertal Development Among Early Adolescents to Sexual and Nonsexual Risk Behaviors and Caregivers' Parenting Behaviors

Using a school-based sample of Washington, DC, fifth graders (mean age 10.38, SD = 0.66) and their parents (N = 408), we examined associations of pubertal development with early adolescents' sexual and nonsexual risk behaviors and their caregivers' parenting behaviors; and of these risk behaviors with parenting behaviors. Youths reporting signs of pubertal development were more likely to engage in these risk behaviors than students reporting no signs. Pubertal development was not related to parenting behaviors; however, parents of youths who reported multiple nonsexual risk behaviors reported more parent-child communication about sexual topics. These results highlight the need to begin risk prevention efforts early, prior to pubertal development. Research is needed to understand how parents can help youths better cope with pubertal development to avoid involvement in sexual and nonsexual risk behaviors.     

Accuracy of Clinician Predictions of Future Self‐Harm: A Systematic Review and Meta‐Analysis of Predictive Studies

Assessment of a patient after hospital‐treated self‐harm or psychiatric hospitalization often includes a risk assessment, resulting in a classification of high risk versus low risk for a future episode of self‐harm. Through systematic review and a series of meta‐analyses looking at unassisted clinician risk classification (eight studies; N = 22,499), we found pooled estimates for sensitivity 0.31 (95% CI: 0.18–0.50), specificity 0.85 (0.75–0.92), positive predictive value 0.22 (0.21–0.23), and negative predictive value 0.89 (0.86–0.92). Clinician classification was too inaccurate to be clinically useful. After‐care should therefore be allocated on the basis of a needs rather than risk assessment.     

Developmental and medical factors associated with parenting stress in mothers of toddlers born very preterm in a neonatal follow-up clinic

The purpose of this exploratory, cross-sectional study was to identify child-related factors associated with maternal parenting stress in toddlers born very preterm and followed in a neonatal follow-up (NFU) clinic. The study aimed to describe the associations of current medical complications and presence of developmental delays with total parenting stress. Participants were 53 mother–child dyads presenting in a NFU clinic. Mothers completed the Parenting Stress Index-Short Form (PSI-SF), and children were administered the Brigance Early Head Start Screen II. Medical variables were also collected from the child's medical record. Approximately 24% of mothers had at least one elevated subscale score on the PSI-SF. Regression analyses indicated that receipt of early intervention services was associated with increased parenting stress among mothers of toddlers born very preterm, though number of current medical complications was not. Parents of children born very preterm are at increased risk for parenting stress that extends beyond discharge from the neonatal intensive care unit . Clinicians working in NFU clinics are positioned to monitor for increased parenting stress, particularly among families of children with emerging signs of developmental delay.     

Clusters of Suicidal Events Among Young People: Do Clusters from One Time Period Predict Later Clusters?

We sought to compare clusters of suicidal events between two different time periods and examine the extent to which earlier clusters predict later clusters. We included data on suicides and suicide attempts from New South Wales between July 2001 and June 2012 and Western Australia between January 2000 and December 2011. Suicide attempts included admissions to hospital for deliberate self‐harm and suicides were deaths due to deliberate self‐harm. We combined data on suicides and suicide attempts and grouped them into two equal time periods. We detected clusters in each period using Poisson discrete scan statistics adjusted for socio‐economic status. We estimated the predictive values of earlier clusters on later clusters. The results showed that clusters from earlier time period had a moderate power (36%) in predicting later clusters. During the later time period, some additional cluster areas (14%) were found and some earlier cluster areas subsided (64%). Historical clusters predict 36% of the subsequent clusters, which is probably not sufficient for targeting interventions. Our study highlights the need for other strategies to detect emerging clusters, for example, up‐to‐date data.