Changes in meaning in life across the course of psychodynamic psychotherapy

Using the Meaning in Life Questionnaire (MLQ), we studied Presence and Search for meaning for 34 adult clients in psychodynamic psychotherapy. Clients completed the MLQ and Outcome Questionnaire (OQ) before intake and after every eight sessions. Variance in Presence scores was mostly attributable to clients; variance in Search scores was mostly attributable to clients and therapists. Clients initially high in Presence decreased and then increased back to initial levels; clients initially low in Presence increased and then decreased back to initial levels. Clients initially low in Search increased and then leveled off; clients initially high in Search decreased and then leveled off. In lagged cross panel analyses, when clients decreased in psychological distress during one eight-week time period, they increased in Presence during the next eight-week time period; when they increased in psychological distress during one eight-week time period, they increased in search in the next time period. Excerpts from post-therapy interviews illustrate the process of working with meaning in life in psychotherapy. Implications for practice and training are discussed.     

Machine learning in suicide science: Applications and ethics

For decades, our ability to predict suicide has remained at near‐chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an introduction to machine learning and its potential application to open questions in suicide research. Although only a few studies have implemented machine learning for suicide prediction, results to date indicate considerable improvement in accuracy and positive predictive value. Potential barriers to algorithm integration into clinical practice are discussed, as well as attendant ethical issues. Overall, machine learning approaches hold promise for accurate, scalable, and effective suicide risk detection; however, many critical questions and issues remain unexplored.     

Evidence for a sensitive period in the effects of early life stress on hippocampal volume

Exposure to stress has been causally linked to changes in hippocampal volume (HV). Given that the hippocampus undergoes rapid changes in the first years of life, stressful experiences during this period may be particularly important in understanding individual differences in the development of the hippocampus. One hundred seventy‐eight early adolescents (ages 9–13 years; 43% male) were interviewed regarding exposure to and age of onset of experiences of stress; the severity of each stressful event was rated by an objective panel. All participants underwent structural magnetic resonance imaging, from which HVs were automatically segmented. Without considering the age of onset for stressful experiences, there was a small but statistically significant negative association of stress severity with bilateral HV. When considering the age of onset, there was a moderate and significant negative association between stress severity during early childhood (through 5 years of age) and HV; there was no association between stress severity during later childhood (age 6 years and older) and HV. We provide evidence of a sensitive period through 5 years of age for the effects of life stress on HV in adolescence. It will be important in future research to elucidate how reduced HV stemming from early life stress may contribute to stress‐related health outcomes.     

Accommodating Small Sample Sizes in Three-Level Models When the Third Level is Incidental

Small samples sizes are a pervasive problem when modeling clustered data. In two-level models, this problem has been well studied, and several resources provide guidance for modeling such data. However, a recent review of small-sample clustered data methods has noted that no studies have investigated methods for modeling three-level data with small sample sizes. Furthermore, strategies for two-level models do not necessarily translate to the three-level context. Moreover, three-level models are prone to small samples because the “small sample” designation is primarily based on the sample size of the highest level, and large samples are increasingly difficult to amass as one progresses up a hierarchy. In this study, we focus on the case when the third level is incidental, meaning that the third level is important to consider but there are no explicit research questions at the third level. This study performs a simulation study to examine the performance of seven methods for modeling three-level data with a small sample at the third level. A motivating educational psychology example is also provided to demonstrate how the choice of method can greatly affect results.     

The Interplay Between Housing Stability and Child Separation: Implications for Practice and Policy

Greater understanding of how residential stability affects child separation and reunification among homeless families can guide both child welfare and homeless policy and practice. This article draws upon two longitudinal studies examining services and housing for homeless families and their relationship to family and housing stability. Both studies were conducted in the same state at roughly the same time with similar instruments. The first study, examining families’ experiences and outcomes following entry into the homeless service system in three counties in Washington State, found that at 18 months following shelter entry, families that are intact with their children were significantly more likely to be housed in their own housing (46%) than families that were separated from one or more of their children (31%). The second study, a quasiexperimental evaluation of a supportive housing program for homeless families with multiple housing barriers, found that the rates of reunification for Child Protective Services (CPS)‐involved families receiving supportive housing was comparable to that for families entering public housing without services, but significantly higher than the rate of reunification for families entering shelter. Taken together, the findings from both studies contribute to the evidence underscoring the importance of housing assistance to homeless families involved in the child welfare system.     

Selling Innovations Like Soap: The Interactive Systems Framework and Social Marketing

Despite the popularity and noted utility of Wandersman and colleagues' (2008) Interactive Systems Framework, the literature currently provides a primary focus on delivery organizations’ and supportive stakeholders’ capacities and strategies to implement innovations, presenting a critical gap in understanding. Unfortunately, reflective of a larger void in community dissemination and implementation efforts, there is a more limited focus on the dissemination of innovations. This paper presents the social marketing literature as a supplement to the Prevention Synthesis and Translation System (PSTS), the system responsible for dissemination. The study and practice of innovation synthesis and translation is examined in the literature; and based on the conclusions drawn, social marketing theory is used to provide a systematic approach to improving dissemination within the Interactive Systems Framework. Specifically, three gaps related to the PSTS are identified in the literature that align with and can be filled using social marketing. Social marketing is defined and presented as a supplement by providing theory and practices, within a systems context, for effectively communicating and influencing change. By blending social marketing with the Interactive Systems Framework, the aim is to improve the understanding of strategic communication and its role in the effective dissemination, and subsequent implementation, of innovations.     

Partial replication of two rumination-related candidate gene studies

Two recent papers associated candidate genes with brooding rumination, a possible cognitive endophenotype for depression, in children ages 8–14 years. Stone et al. reported that BDNF val66met polymorphism predicted brooding in adolescence. Woody et al. reported that children carrying at least one copy of a CRHR1 TAT haplotype reported less brooding than their peers in the presence of maternal depression. We attempted to replicate and extend these findings in a sample of twins aged 12–16 years. We analyzed the BDNF val66met (rs6265) polymorphism and two (rs242924 and rs7209436) out of three single nucleotide polymorphisms (SNPs) that Woody et al. used to create a CRHR1 haplotype. We controlled for maternal history of depression and clustering within families. Unlike Stone et al., we found higher brooding among BDNF Met carriers. This main effect was qualified by an interaction with pubertal status, with the effect driven by more physically mature participants. Similar to Woody et al., we found an interaction between CRHR1 SNPs and maternal depression, with the homozygous minor genotype acting as a protective factor against brooding in the presence of maternal depression. Findings provide partial support for the influence of candidate genes in two environmentally sensitive systems on brooding.