An Experimental Investigation of Antisocial Lie-Telling Among Children With Disruptive Behavior Disorders and Typically Developing Children

Children's lie-telling is surprisingly understudied among children with significant behavioral problems. In the present study, experimental paradigms were used to examine antisocial lie-telling among ethnically diverse 5- to 10-year-old children with disruptive behavior disorders (DBD; n = 71) and a typically developing (TD) comparison sample (n = 50) recruited from a southeastern state from 2013 to 2014. Children completed two games that measured the prevalence and skill of their lies: (a) for personal gain and (b) to conceal wrongdoing. Children with DBD were more likely to lie for personal gain than TD children. With age, children were more likely to lie to conceal wrongdoing, but the reverse was true regarding lies for personal gain. Results advance knowledge concerning individual differences in children's lie-telling.     

Let's Talk About Maths: The Role of Observed “Maths‐Talk” and Maths Provisions in Preschoolers' Numeracy

Developmental cognitive neuroscience highlights the importance of interactions between children and their environment. As young children spend increasing time in childcare, it is key to investigate the impact of “maths‐talk” and maths provisions in preschools. Qualitative insights from early educators indicate a greater bias toward counting activities than would be expected given the Early Years curriculum. In addition, we quantified the observed breadth of preschool practitioners' maths language (e.g., place‐value language), setting‐based maths provisions (e.g., quality of maths‐related activities), and their relation with children's early numeracy skills. In settings with greater practitioners' breadth of maths language, children display greater cardinality skills although our data call for the further investigation of parental socioeconomic status and education. We conclude with a discussion on the need to operationalize children's maths learning environments as diversely as possible. Enriching practitioners' skill sets may be an effective and needed way of improving early maths outcomes.     

How the reason for a school move relates to school adjustment

Several authors have suggested reasons for children transferring to new schools, and they have hypothesized that the reasons may affect the nature and tenure of the transition process. The present study investigated the reasons parents of 451 elementary school children gave for changing schools and demonstrated that the reasons influenced children's ability to adjust to their new schools. Specifically, children transferring because their old school closed were more competent academically and had a higher average socioeconomic status than did the other groups. On the other hand, those transferring because of changing households had poorer academic performance and more stressful life events on average than the other groups. Finally, reasons for moving not only vary according to race, but the effects of the reasons are different for each racial group. Implications for school personnel seeking to integrate transfer students into their schools effectively are discussed.     

The effects of arm crank strategy on physiological responses and mechanical efficiency during submaximal exercise

The purpose of this study was to compare submaximal physiological responses and indices of mechanical efficiency between asynchronous and synchronous arm ergometry. Thirteen wheelchair-dependent trained athletes performed eight steady-state incremental bouts of exercise (0 to 140 W), each lasting 4 min, using synchronous and asynchronous arm-cranking strategies. Physiological measures included oxygen uptake (VO2), heart rate, and blood lactate concentration. The power outputs corresponding to fixed whole blood lactate concentrations of 2.0 to 4.0 mmol x l(-1) were calculated using linear interpolation. Mechanical efficiency indices - gross efficiency, net efficiency, and work efficiency - were also calculated. An analysis of variance with repeated measures was applied to determine the effect of crank mode on the physiological parameters. Oxygen uptake was on average 10% lower (P < 0.01), and both net efficiency (P < 0.01) and gross efficiency (P < 0.01) were higher, during the asynchronous strategy at both 60 and 80 W (gross efficiency: 16.9 +/- 2.0% vs. 14.7 +/- 2.4% and 17.5 +/- 1.8% vs. 15.9 +/- 2.6% at 60 and 80 W respectively). There were no differences in heart rate, blood lactate concentration or power output at either of the blood lactate reference points between the asynchronous and synchronous strategies (P > 0.05). In conclusion, test specificity is an important consideration. If a synchronous strategy is to be adopted, it is likely to result in lower efficiency than an asynchronous strategy. The exercise testing scenario may help dictate which method is ultimately chosen.     

Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels

There have been many conflicting observations between the linear or curvilinear decline in maximal heart rate (HR_max) with age. The aim of this study was to determine if linear or curvilinear equations would better describe the decline in HR_max with age in individuals of differing cardiorespiratory fitness (CRF) levels. Treadmill cardiopulmonary exercise test (CPX) results from participants (1510 men and 1134 women; 18–76 years) free of overt cardiovascular disease were retrospectively examined using cross-sectional and longitudinal study designs. Participants completing ≥2 CPX with ≥1 year between test dates were included in the longitudinal analysis (325 men and 150 women). Linear and quadratic regressions were applied to age and HR_max for the whole cohort and respective CRF groups (high, moderate, and low, relative to age and gender normative values). To test for differences among linear, quadratic, and polynomial equations, the change in R² (cross-sectional analysis) and Bayesian information criterion (BIC) (longitudinal analysis) from the linear to the more complex models were calculated. The quadratic or polynomial regression in the cross-sectional analysis, marginally improved the variance in HR_max explained by age compared to the linear regression for the whole cohort (0.2%), moderate fit group (0.3%), and low fit group (0.8%). With no improvements in the high fit group. BIC did not improve for any CRF category in the longitudinal analysis. In conclusion, the minimal differences among linear, quadratic, and polynomial equations in the respective CRF groups, emphasizes the use of linear prediction equations to estimate HR_max.