Expertise in Deception Detection Involves Actively Prompting Diagnostic Information Rather Than Passive Behavioral Observation

In a proof‐of‐concept study, an expert obtained 100% deception‐detection accuracy over 33 interviews. Tapes of the interactions were shown to N = 136 students who obtained 79.1% accuracy (Mdn = 83.3%, mode = 100%). The findings were replicated in a second experiment with 5 different experts who collectively conducted 89 interviews. The new experts were 97.8% accurate in cheating detection and 95.5% accurate at detecting who cheated. A sample of N = 34 students watched a random sample of 36 expert interviews and obtained 93.6% accuracy. The data suggest that experts can accurately distinguish truths from lies when they are allowed to actively question a potential liar, and nonexperts can obtain high accuracy when viewing expertly questioned senders.     

Psychopathy,frustration, and reactive aggression: The role of ventromedial prefrontal cortex

Psychopathy is a developmental disorder marked by emotional hyporesponsiveness and an increased risk for instrumental and reactive aggression. The increased risk for reactive aggression is the focus of the current paper. It will be argued that the increased risk for reactive aggression does not relate to an increased sensitivity to threatening stimuli since psychopathy is associated with a reduced sensitivity to threat. Instead, it is argued that the increased risk for reactive aggression relates to an increased risk for frustration; i.e., the emotional state following the performance of an action in the expectation of a particular reward and not receiving this reward. Two impairments seen in psychopathy would increase the risk for frustration and consequent potential reactive aggression; impairments in stimulus‐reinforcement learning and reversal learning. It is argued that both are known consequences of impairment in ventromedial prefrontal cortex, one of the regions principally implicated in psychopathy.     

A Comparison of Underage,Young, Middle,and Late Adults in Indicated Prevention Following Impaired Driving

The authors examined age differences in baseline features and program response in individuals completing indicated prevention (Prime For Life^®) for impaired driving. Risk perception, substance use, and support differed by age at baseline and, despite improvements, continued to differ postprogram.     

Childhood Overweight and Obesity: Maternal and Family Factors

Treatment programs for childhood overweight and obesity have highlighted the importance of the family in treatment. Considering this, it is surprising that few studies have examined the role of family factors in the development of childhood overweight and obesity. The objective of this study was to examine which family and maternal factors predict increases in weight in boys and girls during middle to late childhood. This study used longitudinal data from the childhood growth and development (GAD) Study. The GAD Study involved 286 healthy weight, overweight and obese children, aged 6–13 years at baseline, who completed baseline, 1-year follow-up and 2-year follow-up assessments. Overweight/obese children were recruited from clinical and community settings. A broad range of maternal and family factors were assessed. Linear mixed models were used to identify which factors predicted child Body Mass Index (BMI) z-scores over time. For community-based children, maternal BMI and single-parent family structure were significant longitudinal predictors of child BMI z-scores. For the clinical participants, low family income was the only significant multivariate predictor of child BMI z-scores. The strong association between child BMI, maternal BMI and family structure confirms the need to target prevention and intervention efforts for childhood overweight and obesity towards families with overweight parents, particularly single-parent families.