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.