Cortisol Rhythm in Preschoolers: Relations with Maternal Depression and Child Temperament

Evidence supports associations between deviations from the normative daily cortisol rhythm and depression. We examined associations between multiple indices of daily cortisol in 146 preschool-aged children and two well-established risk factors for depression: maternal depression and early child temperament (negative emotionality/NE and positive emotionality/PE). Offspring of mothers with current depression demonstrated lower waking cortisol and lower total post-awakening cortisol. Child PE was negatively associated with waking cortisol. The combination of maternal depression history and high child NE was associated with higher levels of evening cortisol. Findings suggest that an interplay between familial risk for depression and child temperamental vulnerability may be related to neuroendocrine functioning in young children and highlight important methodological considerations in the assessment of children’s basal cortisol activity. It will be critical for future research to map the developmental progression from early disruptions in children’s cortisol rhythm to the emergence of psychopathology.     

Searching for two categories of target in dynamic visual displays impairs monitoring ability

Target onsets in dynamically changing displays can be predicted when contingencies exist between different stimulus states over time. In the present study, we examined predictive monitoring when participants searched dynamically changing displays of numbers and colored squares for a color target, a number target, or both. Stimuli were presented in both contiguous and discrete spatial configurations. Response time (RT) and accuracy were recorded, and evidence of predictive monitoring was assessed via first fixations and refixations of target‐predictive stimuli. RTs to target onsets and evidence of predictive monitoring were reduced in dual‐target, relative to single‐target, conditions. Further, predictive monitoring did not speed RTs but was influenced by display configuration. In particular, discrete displays impaired monitoring for number targets in the dual‐target condition. Implications exist for real‐world visual tasks involving multiple target categories and for visual display design.     

Test-potentiated learning: three independent replications,a disconfirmed hypothesis,and an unexpected boundary condition

Arnold and McDermott [(2013). Test-potentiated learning: Distinguishing between direct and indirect effects of testing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 940–945] isolated the indirect effects of testing and concluded that encoding is enhanced to a greater extent following more versus fewer practice tests, referred to as test-potentiated learning. The current research provided further evidence for test-potentiated learning and evaluated the covert retrieval hypothesis as an alternative explanation for the observed effect. Learners initially studied foreign language word pairs and then completed either one or five practice tests before restudy occurred. Results of greatest interest concern performance on test trials following restudy for items that were not correctly recalled on the test trials that preceded restudy. Results replicate Arnold and McDermott (2013) by demonstrating that more versus fewer tests potentiate learning when trial time is limited. Results also provide strong evidence against the covert retrieval hypothesis concerning why the effect occurs (i.e., it does not reflect differential covert retrieval during pre-restudy trials). In addition, outcomes indicate that the magnitude of the test-potentiated learning effect decreases as trial length increases, revealing an unexpected boundary condition to test-potentiated learning.     

The left digit effect in a complex judgment task: Evaluating hypothetical college applicants

A left digit effect has been broadly observed across judgment and decision-making contexts ranging from product evaluation to medical treatment decisions to number line estimation. For example, $3.00 is judged to be a much greater cost than $2.99, and “801” is estimated strikingly too far to the right of “798” on a number line. Although the consequences of the effects for judgment and decision behavior have been documented, the sources of the effects are not well established. The goal of the current work is to extend investigations of the left digit effect to a new complex judgment activity and to assess whether the magnitude of the effect at the individual level can be predicted from performance on a simpler number skills task on which the left digit effect has also recently been observed. In three experiments (N = 434), adults completed a judgment task in which they rated the strength of hypothetical applicants for college admission and a self-paced number line estimation task. In all experiments, a small or medium left digit effect was found in the college admissions task, and a large effect was found in number line estimation. Individual-level variation was observed, but there was no relationship between the magnitudes of the effects in the two tasks. These findings provide evidence of a left digit effect in a novel multiattribute judgment task but offer no evidence that such performance can be predicted from a simple number skills task such as number line estimation.     

Impact of Language on Behavior Assessment Outcomes

Conducting a functional analysis is the “gold standard” of behavior assessment with best practices recommending identification of idiosyncratic variables as essential to valid results. One potential variable that might impact assessment results is language of assessment. For individuals who operate in environments with multiple languages (e.g., English and Spanish), the language of assessment might differentially impact assessment results. Therefore, there is a need to evaluate if language of assessment affects identified function. The current study presents the results of 10 cases in which the experimenters conducted assessments (i.e., functional analysis) in both the Spanish and English language. Participants were nine children with autism who engaged in problem behavior and whose parents reported Spanish as the primary home language. Result indicates correspondence of function for eight of the ten cases. Discussion of results and recommendations for practice and future research are presented.

     

Impact of End-of-Life Circumstances on the Adjustment of Bereaved Siblings of Children Who Died from Cancer

The aim of this study was to examine the impact of end-of-life (EoL) circumstances on grief and internalizing symptoms among bereaved siblings. Bereaved families (N?=?88) were recruited from three sites 3–12 months (M?=?11.57, SD?=?3.48) after their child’s death from cancer. One sibling per family aged 8–17 years (M?=?12.41, SD?=?2.64) was randomly selected to participate. Families completed measures of siblings’ grief and internalizing symptoms, as well as a structured interview about circumstances surrounding the death. Mother and sibling reports of EoL circumstances were generally concordant, except there was a discrepancy between mothers and children about whether or not children expected their sibling’s death (t(75)?=?1.52, p?=?.018). Mother reports of sibling internalizing symptoms were above the normative mean (t(83)?=?4.44, p?≤?.001 (M?=?56.01?±?12.48), with 39% (n?=?33) in the borderline/clinical range. Sibling opportunity to say goodbye was associated with greater grief-related growth (t(79)?=?? 1.95, p?=?.05). Presence at the death and wishing they had done something differently were both associated with greater grief (t(80)?=?? 2.08, p?=?.04 and t(80)?=?? 2.24, p?=?.028, respectively) and grief-related growth (t(80)?=?? 2.01, p?=?.048 and t(80)?=?? 2.31, p?=?.024, respectively). However, findings were primarily unique to sibling report, with few mother-reported effects. The adjustment of bereaved siblings may be affected by certain modifiable circumstances surrounding the death of their brother or sister. A proportion of bereaved siblings had elevated internalizing symptoms irrespective of circumstances at EoL. Further work is needed to understand predictors of adjustment among bereaved siblings to provide better support and optimize their outcomes.

     

Physical Activity Among Urban Children with Asthma: Does Sleep Matter?

Journal of Clinical Psychology in Medical Settings - The present study examined associations between sleep and physical activity among a diverse sample of 97 urban children (ages 7–9) with...     

Parenting Characteristics Protective Against Substance Use and Deviant Peer Involvement in High-Risk Neighborhoods

Robust research shows that poor parenting practices are related to adverse outcomes among adolescents; however, few have examined the interaction between parenting variables and adolescent outcomes within the context of exposure to relentless crime. The current study examined the combined effects of parental monitoring and discipline on marijuana involvement and deviant peer affiliation among adolescent males living in Los Angeles neighborhoods with concentrated crime. For this study, areas with higher-than-average crime rates were selected based on census data, published statistics, and law-enforcement data. The study included 349 males between 13 and 17 years of age, mostly Latino (70.2%) and African American (28.4%). Data were collected using questionnaires to interview participants and analyzed using logistic regression. Results suggest that among adolescent males in geographic areas of high violence and crime, the interaction between parental monitoring and discipline was significantly related to marijuana involvement and deviant peer affiliation. Follow-up analyses showed parental monitoring was only an effective tool at higher levels of consistent parental discipline. In the absence of consistent discipline, good parental monitoring was ineffective at preventing marijuana involvement and affiliation with deviant peers. Results suggest that if time and resources are limited, clinicians should consider focusing on the use of consistent discipline with parents residing in high-crime neighborhoods.

     

Association rule learning in neuropsychological data analysis for Alzheimer’s disease

Efficient methods of analysis readily available for clinicians continue to be limited within neuropsychological assessment at the raw data level. Here, a novel approach for generating predictive response patterns and analysing neuropsychological raw data is offered. In order to assess the usefulness of association rule learning as an analysis tool for neuropsychological raw data, Frequent Pattern Growth (FP-Growth) was used to mine patterns from the Consortium to Establish a Registry for Alzheimer’s Disease Neuropsychological Battery (CERAD-NB) database. Complete assessment data for 84 post-mortem confirmed Alzheimer’s disease (AD) cases and 294 age, race, and education matched controls were analysed across baseline and one-year follow-up using FP-Growth, for the purpose of assessing the clinical utility of a finer analysis at the raw data level and the feasibility of predicting response patterns for clinical/control groups. Output from FP-Growth, in terms of the number of frequent itemsets retained across both evaluation timepoints, was discernable between controls, mild, and moderate to severe Alzheimer’s disease cases (p < .001, and η² = .488). Patterns within raw data scores, both in terms of frequent itemsets and predictive association rules, appear to be differentiable across groups within neuropsychological analysis, which indicates that FP-Growth is applicable as a supplementary analysis tool for neuropsychological assessment by means of offering an additional level of data analysis, predictive item response capabilities, and aiding in clinical decision making.