Maternal Borderline Personality Disorder Severity and Parenting Behaviors During Conflict Discussions With Adolescent Offspring.

Examining the impact of maternal borderline personality disorder (BPD) on parent-child interactions could elucidate pathways of intergenerational risk and inform intervention. The current study used an expanded version of the Observing Mediational Interactions to investigate (a) associations between maternal BPD symptom severity and mediational parenting behaviors during conflict discussions with clinically referred early adolescent offspring (N = 56, age = 10-15, 54% female) and their mothers, and (b) the potential moderating role of early adolescent BPD symptom severity in those associations. Consistent with hypotheses, mothers with higher levels of BPD symptom severity engaged in fewer positive emotional/attachment-based behaviors and more negative (i.e., invalidating, controlling, coercive, or insensitive) parenting behaviors. Only parent-reported, but not self-reported, adolescent BPD severity moderated these associations; maternal BPD severity was significantly associated only with negative parenting in dyads with low-to-moderate levels of parent-reported adolescent BPD severity. We discuss implications including targeting attachment-based and negative parenting behaviors in intervention.

Maternal suicide risk predicts preschooler emotional and behavioral problems.

Maternal history of suicidal thoughts and behaviors (STBs) has been identified as a robust risk factor for offspring emotional and behavioral problems, including risk for offspring STBs. The impact of maternal history of STBs has been well-documented in adolescent and young adult samples, with emerging research highlighting the need to examine early clinical correlates of risk in young children, prior to the emergence of STBs. In an extension of prior work, the current study examined associations between maternal history of STBs and previously identified emotional and behavioral correlates of STBs (negative affect, internalizing problems, attention problems, aggressive behavior) in young children. These associations were examined in a mother-preschooler sample (n = 158, mean preschooler age=41.52 months) with approximately half of mothers endorsing a history of STBs and 20 % of the sample scoring at the threshold that indicates suicide risk. In multivariate models, maternal history of STBs was significantly associated with preschooler aggressive behavior, assessed via mother- (ß=0.19) and teacher-report (ß=0.21), as well as mother-reported negative affect (ß=0.22). Results document a link between maternal history of STBs and increased risk for heightened negative affect and aggressive behavior at home and school during the sensitive preschool period. Findings are discussed within the context of enhancing models of intergenerational transmission suicide risk.

Adolescent, Parent, and Provider Perceptions of a Predictive Algorithm to Identify Adolescent Suicide Risk in Primary Care.

OBJECTIVE: To understand adolescent, parent, and provider perceptions of a machine learning algorithm for detecting adolescent suicide risk prior to its implementation primary care. METHODS: We conducted semi-structured, qualitative interviews with adolescents (n = 9), parents (n = 12), and providers (n = 10; mixture of behavioral health and primary care providers) across two major health systems. Interviews were audio recorded and transcribed with analyses supported by use of NVivo. A codebook was developed combining codes derived inductively from interview transcripts and deductively from implementation science frameworks for content analysis. RESULTS: Reactions to the algorithm were mixed. While many participants expressed privacy concerns, they believed the algorithm could be clinically useful for identifying adolescents at risk for suicide and facilitating follow-up. Parents' past experiences with their adolescents' suicidal thoughts and behaviors contributed to their openness to the algorithm. Results also aligned with several key Consolidated Framework for Implementation Research domains. For example, providers mentioned barriers inherent to the primary care setting such as time and resource constraints likely to impact algorithm implementation. Participants also cited a climate of mistrust of science and health care as potential barriers. CONCLUSIONS: Findings shed light on factors that warrant consideration to promote successful implementation of suicide predictive algorithms in pediatric primary care. By attending to perspectives of potential end users prior to the development and testing of the algorithm, we can ensure that the risk prediction methods will be well-suited to the providers who would be interacting with them and the families who could benefit.