(PsycINFO Database Record (c) 2020 APA, all rights reserved).The canonical conclusion from research on age differences in risky choice is that older adults are more risk averse than younger adults, at least in choices involving gains. Most of the evidence for this conclusion derives from studies that used a specific type of choice problem choices between a safe and a risky option. However, safe and risky options differ not only in the degree of risk but also in the amount of information to be processed-that is, in their complexity. In both an online and a lab experiment, we demonstrate that differences in option complexity can be a key driver of age differences in risk attitude. When the complexity of the safe option is increased, older adults no longer seem more risk averse than younger adults (in gains). Using computational modeling, we test mechanisms that potentially underlie the effect of option complexity. The results show that participants are not simply averse to complexity, and that increasing the complexity of safe options does more than simply make responses more noisy. Rather, differences in option complexity affect the processing of attribute information whereas the availability of a simple safe option is associated with the distortion of probability weighting and lower outcome sensitivity, these effects are attenuated when both options are more similar in complexity. We also dissociate these effects of option complexity from an effect of certainty. Our findings may also have implications for age differences in other decision phenomena (e.g., framing effect, loss aversion, immediacy effect). (PsycINFO Database Record (c) 2020 APA, all rights reserved).Maternal depressive symptoms are a robust predictor of children's risk for internalizing symptoms, yet not all children are negatively affected by exposure to their mothers' symptoms. The present study tested children's self-blame appraisals as a moderator of the association between maternal depressive symptoms and children's internalizing symptoms, controlling for children's negative attributional style. We hypothesized that the relation between maternal depressive symptoms and children's internalizing symptoms would be stronger for children who blamed themselves more for their mothers' symptoms. Participants were 129 mother-child dyads (M child age = 13.63, SD = 2.2; 52.7% female; 38.8% White, 31% African American, 22.5% Latinx/Hispanic) recruited from the community. Results indicated that maternal depressive symptoms were associated with higher levels of children's internalizing symptoms for children who reported higher, but not lower, levels of self-blame appraisals. Results were consistent using mothers' or children's reports of their own and each other's symptoms. The findings highlight the importance of assessing children's appraisals about their mothers' depressive symptoms, and suggest that preventive interventions should target children who endorse higher levels of self-blame appraisals. Furthermore, children's self-blame appraisals about mothers' depressive symptoms should be considered as a target of treatment for child internalizing disorders. (PsycINFO Database Record (c) 2020 APA, all rights reserved).This study examined children's insecure representations of the family as a mechanism accounting for the association between coparental discord and children's externalizing problems in a diverse sample of 243 preschool children (mean [M] age = 4.60 years). https://www.selleckchem.com/products/syrosingopine-su-3118.html The results from a multimethod, multi-informant, prospective design indicated that coparental discord was indirectly related to children's externalizing behaviors through their insecure representations of the family. Higher levels of coparental discord were specifically linked with more insecure representations of the family, which in turn predicted higher levels of externalizing behaviors 2 years later. These pathways remained robust even after considering the roles of general family adversity, child gender, and family income per capita as predictors in the analyses. (PsycINFO Database Record (c) 2020 APA, all rights reserved).The post-9/11 conflicts have taken a substantial toll on military families. Although positive effects of reintegration-focused programs are well-documented for service members, less is known about military spouses who are parents of young children. This article examines the outcomes of a formal reflective parenting program developed for military families who have very young children, and whether aspects of informal social support moderate spouse outcomes of anxiety, depression, and parenting stress. Data are drawn from a randomized, clinical trial (RCT) of 103 military families with children ages birth to 5 years of age. Structural equation models examined the main effects of the program and the relationship of 3 social support dimensions (perceived support, social connectedness and dyadic satisfaction) to program outcomes of interest. Analyses revealed a statistically significant reduction in anxiety in the treatment group, with a small effect size. No significant program effects emerged on parenting stress or depression. None of the social support dimensions was significantly associated with outcomes of interest. The interaction of dyadic support and treatment showed a significant moderate effect on parenting stress. Spouses with lower baseline satisfaction who were assigned to the treatment condition reported similar levels of parenting stress at baseline and posttest, whereas their counterparts in the waitlist condition reported significantly higher parenting stress at posttest compared with baseline. Findings suggest a targeted approach to preventive intervention for military spouses who are mothers of young children. (PsycINFO Database Record (c) 2020 APA, all rights reserved).Targeted memory reactivation (TMR) is a methodology employed to manipulate memory processing during sleep. TMR studies have great potential to advance understanding of sleep-based memory consolidation and corresponding neural mechanisms. Research making use of TMR has developed rapidly, with over 70 articles published in the last decade, yet no quantitative analysis exists to evaluate the overall effects. Here we present the first meta-analysis of sleep TMR, compiled from 91 experiments with 212 effect sizes (N = 2,004). Based on multilevel modeling, overall sleep TMR was highly effective (Hedges' g = 0.29, 95% CI [0.21, 0.38]), with a significant effect for two stages of non-rapid-eye-movement (NREM) sleep (Stage NREM 2 Hedges' g = 0.32, 95% CI [0.04, 0.60]; and slow-wave sleep Hedges' g = 0.27, 95% CI [0.20, 0.35]). In contrast, TMR was not effective during REM sleep nor during wakefulness in the present analyses. Several analysis strategies were used to address the potential relevance of publication bias. Additional analyses showed that TMR improved memory across multiple domains, including declarative memory and skill acquisition.