Health‐adjusted neuropsychological test norms based on 463 older Swedish car drivers

There is a need for improved normative information in particular for older persons. The present study provides neuropsychological test norms on seven cognitive tests used in a sample representing the general older driving population, when uncontrolled and controlled for physical health. A group of 463 healthy Swedish car drivers, aged 65 to 84 years, participated in a medical and neuropsychological examination. The latter included tests of visual scanning, mental shifting, visual spatial function, memory, reaction time, selective attention, and simultaneous capacity. Hierarchical regression analyses demonstrated that, when uncontrolled for health, old age was associated with significant impairment on all seven tests. Education was associated with a significant advantage for all tests except most reaction time subtests. Women outperformed men on selective attention. Controlling for health did not consistently change the associations with education, but generally weakened those with age, indicating rises in normative scores of up to 0.36 SD (residual). In terms of variance explained, impaired health predicted on average 2.5%, age 2.9%, education 2.1% and gender 0.1%. It was concluded (1) that individual regression‐based predictions of expected values have the advantage of allowing control for the impact of health on normative scores in addition to the adjustment for various demographic and performance‐related variables and (2) that health‐adjusted norms have the potential to classify functional status more accurately, to the extent that these norms diverge from norms uncontrolled for physical health.     

影响儿童至老年人“位置法”记忆训练效果的因素探析

１１８名儿童、少年、青年、中年和老年被试参加＂位置法＂记忆训练,在训练前后对被试进行了一些认知功能的测查,以探讨被试的年龄及认知能力诸因素对记忆训练效果的影响及其预测性。结果表明：①训练前字词和图形记忆成绩、＂数字符号＂测验成绩与训练后记忆成绩相关极其显著,＂词汇＂测验成绩和想象力与训练后记忆成绩的相关也达到显著性水平;②年龄与训练后记忆效果的关系是非线性的;③除＂词汇＂成绩外,各项认知成绩均可预测训练后字词记忆成绩,训练后的图形记忆迁移效果可由＂数字符号＂测验成绩预测。     

A New Multilevel CART Algorithm for Multilevel Data with Binary Outcomes

The multilevel logistic regression model (M-logit) is the standard model for modeling multilevel data with binary outcomes. However, many assumptions and restrictions should be considered when applying this model for unbiased estimation. To overcome these limitations, we proposed a multilevel CART (M-CART) algorithm which combines the M-logit and single level CART (S-CART) within the framework of the expectation-maximization. Simulation results showed that the proposed M-CART provided substantial improvements on classification accuracy, sensitivity, and specific over the M-logit, S-CART, and single level logistic regression model when modeling multilevel data with binary outcomes. This benefit of using M-CART was consistently found across different conditions of sample size, intra-class correlation, and when relationships between predictors and outcomes were nonlinear and nonadditive.     

Support gaps in parent‐emerging adult dyads: The role of support quality

This study used a support gap approach to examine parental support to college‐going emerging adults. Based on data from 156 parent–child dyads, this study investigated whether discrepancies between the amounts of support that children received from parents and what they desired would be associated with both persons’ perceived support quality and individual and relational well‐being. Using polynomial regressions with response surface modeling, analyses demonstrated that, generally, support deficits (i.e., receiving less support than desired) were associated with poorer outcomes. However, support surpluses (i.e., receiving more support than desired) were not necessarily problematic, and children and parents exhibited different viewpoints regarding support surpluses. In addition, child‐reported support quality mediated several associations between support gaps and relationship satisfaction reported by both persons.     

Linking property crime using offender crime scene behaviour: A comparison of methods

This study compared the ability of seven statistical models to distinguish between linked and unlinked crimes. The seven models utilised geographical, temporal, and modus operandi information relating to residential burglaries (n = 180), commercial robberies, (n = 118), and car thefts (n = 376). Model performance was assessed using receiver operating characteristic analysis and by examining the success with which the seven models could successfully prioritise linked over unlinked crimes. The regression‐based and probabilistic models achieved comparable accuracy and were generally more accurate than the tree‐based models tested in this study. The Logistic algorithm achieved the highest area under the curve (AUC) for residential burglary (AUC = 0.903) and commercial robbery (AUC = 0.830) and the SimpleLogistic algorithm achieving the highest for car theft (AUC = 0.820). The findings also indicated that discrimination accuracy is maximised (in some situations) if behavioural domains are utilised rather than individual crime scene behaviours and that the AUC should not be used as the sole measure of accuracy in behavioural crime linkage research.     

FROM EXTENSION TO REVOLUTIONARY CHANGE IN CLINICAL PSYCHOANALYSIS: THE RADICAL INFLUENCE OF BION AND WINNICOTT

This paper addresses the radical departure of late Bion's and Winnicott's clinical ideas and practices from traditional psychoanalytic work, introducing a revolutionary change in clinical psychoanalysis. The profound significance and implications of their thinking are explored, and in particular Bion's conception of transformation in O and Winnicott's clinical‐technical revision of analytic work, with its emphasis on regression in the treatment of more disturbed patients. The author specifically connects the unknown and unknowable emotional reality‐O with unthinkable breakdown (Winnicott) and catastrophe (Bion). The author suggests that the revolutionary approach introduced by the clinical thinking of late Bion and Winnicott be termed quantum psychoanalysis. She thinks that this approach can coexist with classical psychoanalysis in the same way that classical physics coexists with quantum physics.     

青少年友谊关系质量与社交焦虑的相互影响:一项交叉滞后分析

采用问卷法和追踪设计,通过交叉滞后回归分析,考察初中三年期间698名青少年的友谊关系质量与社交焦虑的相互影响及其动态变化。结果发现,初二到初三期间,青少年友谊关系质量的喜爱-满意维度显著负向预测社交焦虑;初中三年期间,青少年社交焦虑显著负向预测友谊关系质量的喜爱-满意维度;但友谊关系质量的冲突维度与社交焦虑的相互预测作用不显著。这些结果表明,青少年友谊关系的喜爱-满意维度与其社交焦虑之间存在相互影响,而且该相互作用存在一定程度的动态变化。     

《黄帝内经》阴阳二十五人分型的数学建模

目的:应用数学建模的方法探索<黄帝内经>阴阳二十五人分型的相应关系.方法:根据<黄帝内经>理论对阴阳(X1)、五行(X2)、五音(X3)和阴阳二十五人健康状态(Y)进行量化,通过SAS循环程序进行数据模拟,建立多元回归模型.结果:多元线性回归方程为Y=7452.24162+625 X1+25X2+0.09832X3.结论:方程揭示了阴阳、五行和五音与阴阳二十五人健康状态的理论关系,为进一步求证阴阳、五行、五音与健康的关系提供了一个数学模型.