Robustness of Decision‐Making Competence: Evidence from Two Measures and an 11‐Year Longitudinal Study

Decision‐making competence (DMC) is the ability to follow normative principles when making decisions. In a longitudinal analysis, we examine the robustness of DMC over time, as measured by two batteries of paper‐and‐pencil tasks. Participants completed the youth version (Y‐DMC) at age 19 and/or the adult version (A‐DMC) 11 years later at age 30, as part of a larger longitudinal study. Both measures are composed of tasks adapted from ones used in experimental studies of decision‐making skills. Results supported the robustness of these measures and the usefulness of the construct. Response patterns for Y‐DMC were similar to those observed with a smaller initial sample drawn from the same population. Response patterns for A‐DMC were similar to those observed with an earlier community sample. Y‐DMC and A‐DMC were significantly correlated, for participants who completed both measures, 11 years apart, even after controlling for measures of cognitive ability. Nomological validity was observed in correlations of scores on both tests with measures of cognitive ability, cognitive style, and environmental factors with predicted relationships to DMC, including household socioeconomic status, neighborhood disadvantage, and paternal substance abuse. Higher Y‐DMC and A‐DMC scores were also associated with lower rates of potentially risky and antisocial behaviors, including adolescent delinquency, cannabis use, and early sexual behavior. Thus, the Y‐DMC and A‐DMC measures appear to capture a relatively stable, measurable construct that increases with supportive environmental factors and is associated with constructive behaviors. Copyright © 2017 John Wiley & Sons, Ltd.     

Emotion Regulation of Events Central to Identity and Their Relationship With Concurrent and Prospective Depressive Symptoms

Dispositional emotion regulation is related to the severity and maintenance of depressive symptoms. However, whether emotion regulation specific to an event highly central for an individual’s identity is predictive of depressive symptoms has not been examined. Nonclinical participants (N = 220) reported the extent to which they employed a selection of emotion regulation strategies when recalling low- and high-centrality events. Dispositional emotion regulation and depressive symptoms were also assessed. A 7-week follow-up was conducted. High-centrality events were associated with more emotion regulation efforts. Greater brooding and expressive suppression in relation to high-centrality memories predicted concurrent depressive symptoms after controlling for event valence and dispostional emotion regulation. Effects were absent for low-centrality memories. Emotion regulation in response to high-centrality memories did not predict depressive symptoms at follow-up beyond baseline depressive symptoms. Overall, the findings showed that maladaptive emotion regulation in response to memories of high-centrality events is important for explaining depressive symptomatology.     

Is Jessie right to end her life?

Presupposing that our consideration of ethical issues can be enriched by examining literary works, this paper focuses on Marsha Norman's play ‘night, Mother. The play describes the last hour and a half in the life of Jessie, a young woman who decides to die by suicide. Before ending her life, Jessie explains to her mother her reasons for her suicide. In the context of the play, these are presented as quite weighty and as, perhaps, justifying her decision. Scholarly research on the play has also treated Jessie's suicide favorably. In this paper I argue that Jessie, and people in similar conditions, are wrong to die by suicide. Among other points, I criticize Jessie's arguments from the impossibility to improve life; the assured termination of suffering; the badness of the world; and the right for suicide. I also criticize arguments in the scholarly literature that view Jessie's suicide favorably, such as the arguments from independence, heroism, authenticity, and emotional closeness.     

父母教养方式对青少年心理复原力的影响：自我控制与调节聚焦的链式中介

研究旨在考察青少年自我控制、调节聚焦在父母教养方式与心理复原力关系中的中介效应。使用父母教养方式量表、自我控制量表、调节聚焦量表和心理复原力量表对安徽、江苏、山东四所初高中922名青少年进行调查。结果发现:(1)父母教养方式、青少年自我控制、调节聚焦均能够直接显著预测青少年心理复原力;(2)父母积极教养方式能够通过青少年自我控制、调节聚焦间接正向预测心理复原力;(3)父母消极教养方式能够通过青少年防御聚焦间接负向预测心理复原能力。结论:青少年的自我控制与调节聚焦在父母教养方式与青少年心理复原力之间存在链式中介作用。     

引入眼动注视点的联合-交叉负载多模态认知诊断建模

多模态数据为实现对认知结构的精准诊断及其他认知特征(如, 认知风格)的全面反馈提供了可能性。为实现对题目作答精度、作答时间(RT)和视觉注视点数(FC)的联合分析, 本文基于联合-交叉负载建模法提出3个多模态认知诊断模型。实证研究及模拟研究结果表明: (1)联合分析比分离分析更适用于多模态数据; (2)新模型可直接利用RT和FC中信息提高潜在能力或潜在属性的估计准确性; (3)新模型的参数估计返真性较好; (4)忽略交叉负载所导致的负面结果比冗余考虑交叉负载所导致的更严重。     

Spécificité des stratégies de coping des patients en rémission de la maladie de Crohn : une étude qualitative

IntroductionCrohn's disease (CD), a chronic inflammatory bowel disease, has strong psychological and social repercussions related to the specificity of the symptomatology. To better understand how patients cope with the disease, coping strategies have been studied but without taking into account the specificity of the CD experience.ObjectiveOur objective is to identify the perceived coping strategies used by patients in relation to their illness experience.MethodUsing a qualitative approach, semi-structured interviews and thematic content analysis with 33 CD patients in remission were conducted.ResultsOur results highlight that some of the coping strategies used are not taken into account by the coping scales frequently used in the literature. Indeed, the illness experience appears to be fundamental in the establishment of new strategies based on the experiential knowledge patients use to reduce the stress induced by a potential relapse. Moreover, coping strategies based on positive emotions are also implemented, and they enable patients to make sense of the disease.ConclusionThe coping strategies, i.e., “experiential knowledge” and “positive emotions”, may shed more light on the complexity of the illness experience of CD patients and allow us to make recommendations concerning the psychological support of patients.     

Can we adapt to highly automated vehicles as passengers? The mediating effect of trust and situational awareness on role adaption moderated by automated driving style

The emergence of highly automated driving technology provides safe and convenient travel while also causing user inadaptation. Therefore, based on human factors engineering, it is necessary to study highly automated vehicles (HAVs) that meet different user needs. Thus, this study aims to investigate the relationships between state anxiety, situational awareness, trust, and role adaptation. The adaptation model is constructed to conduct a study on the adaptation of HAVs with different automated styles when user roles change from driver to passenger. Simulated riding was conducted in the HAV experiment (N = 117), collecting scale data after each participant had experienced each automated driving style. A structural equation modeling approach was applied to analyze the adaptation model based on scale data. The results showed that there was a significant correlation between state anxiety, situational awareness, trust, and role adaptation. State anxiety has a significant negative predictive effect on trust, situational awareness, and role adaptation. In addition to its direct impact on role adaptation, state anxiety also has an indirect effect on role adaptation through situational awareness and trust. Furthermore, the automated driving style has been confirmed to have a moderating role in the relationship between the direct and indirect effects of state anxiety and role adaptation. Our findings contribute to multiple streams of the literature and have important implications for designing personalized automated driving to improve user acceptance.     

负性生活事件对大学生抑郁的影响：网络成瘾的中介与5-HTR1A基因rs749098多态性的调节作用

基于抑郁的基因-环境研究范式,以301名大学生为研究对象,探究负性生活事件对大学生抑郁的影响及作用机制。结果表明：(1)负性生活事件、网络成瘾与大学生抑郁两两显著相关;(2)网络成瘾在负性生活事件对大学生抑郁的影响中起部分中介作用;(3) 5-HTR1A基因rs749098多态性在该中介模型的直接路径和中介后半段起调节效应,具体表现为,相比携带C/G和G/G基因型个体,C/C基因型个体负性生活事件对抑郁的负向预测更强,且携带C/C基因型的个体,即使是低水平的网络成瘾的都表现出更高的抑郁情况,而在高水平的网络成瘾的情况下三种基因型都表现出高水平的抑郁。     

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.     

Assessment of apathy in neurological patients using the Apathy Motivation Index caregiver version

Apathy is a common, disabling neuropsychiatric syndrome that occurs across many brain disorders and may be associated with diminished motivation in behavioural, cognitive, emotional and social domains. Assessment is complicated by the variability of symptoms across apathy domains and self-report from patients, which can be misleading due to their lack of insight. Independent evaluation by clinicians also has limitations though if it has to be performed with limited time. Caregiver reports are a viable alternative, but current assessments for them either do not distinguish between different apathy domains or are interview-based and take long to administer. In this study, we developed a brief caregiver questionnaire version of the recently developed Apathy Motivation Index (AMI), which is a self-report tool. We confirmed three apathy factors in this new caregiver measure (AMI-CG) that were also present in the AMI: Behavioural Activation, Emotional Sensitivity and Social Motivation. Furthermore, we validated the scores against more extensive caregiver interviews using the established Lillle apathy rating scale as well as patient self-reports of apathy, measures of depression, anhedonia, cognition, activities of daily living and caregiver burden across four different neurological conditions: Parkinson's disease, Alzheimer's disease, subjective cognitive impairment and limbic encephalitis. The AMI-CG showed good internal reliability, external validity and diagnostic accuracy. It also uncovered cases of social apathy overlooked by traditional instruments. Crucially, patients who under-rated their apathy compared to informants were more likely to have difficulties performing everyday activities and to be a greater burden to caregivers. The findings provide evidence for a multidimensional conceptualization of apathy and an instrument for efficient detection of apathy based on caregiver reports for use in clinical practice.