Bayesian re-analysis special issue on fear generalization - Behavior Therapy v46 issue 5

A reanalysis is planned of the studies described in the special issue on fear generalization that was published in Behavior Therapy (2015)

Generalization and Similarity: own replication

Generalization and Similarity experiment were we set up a task to replicate the findings of Generalization and Similarity: an MDS approach, part I

Greater positive affect change after mental imagery than verbal thinking in a student sample

status: publishe

The Importance of Conditioned Stimuli in Cigarette and E-Cigarette Craving Reduction by E-Cigarettes

This study examined the impact of four variables pertaining to the use of e-cigarettes (e-cigs) on cravings for tobacco cigarettes and for e-cigs after an overnight abstinence period. The four variables were the nicotine level, the sensorimotor component, the visual aspect, and the aroma of the e-cig. In an experimental study, 81 participants without prior vaping experience first got acquainted with using e-cigs in a one-week tryout period, after which they participated in a lab session assessing the effect of five minutes of vaping following an abstinence period of 12 h. A mixed-effects model clearly showed the importance of nicotine in craving reduction. However, also non-nicotine factors, in particular the sensorimotor component, were shown to contribute to craving reduction. Handling cues interacted with the level (presence/absence) of nicotine: it was only when the standard hand-to-mouth action cues were omitted that the craving reducing effects of nicotine were observed. Effects of aroma or visual cues were not observed, or weak and difficult to interpret, respectively

Factors associated with use of restraints on older adults with home care: A secondary analysis of a cross-sectional survey study.

BACKGROUND: Although there is evidence that use of restraints in home care is increasing, research into the factors associated with restraints in this setting is scarce. OBJECTIVE: To gain insight into the factors associated with restraints in older adults receiving home care. DESIGN: A secondary analysis of a cross-sectional survey about restraint use in home care. SETTINGS: Older adults receiving home care in Belgium. PARTICIPANTS: 8000 subjects were randomly selected from a total of 45,700 older adults. The mean age of the sample (n = 6397) was 80.6 years, 66.8% were women and 46.4% lived alone. METHODS: A cross-sectional survey of restraint use on older adults receiving home care from a nursing organisation in Belgium was completed by the patients' primary care nurses. A binary logistic regression model with generalised estimating equations was used to evaluate factors associated with restraint use. Additional analyses focused on the subgroups with and without an informal caregiver and living alone / with others. Data from 6397 participants were analysed in detail. RESULTS: Multivariate logistic regression indicated that restraint use was associated with supervision [OR = 2.433, 95% CI = 1.948-3.038]; dependency in activities of daily living (i.e. eating [OR = 2.181, 95% CI = 1.212-3.925], transfer [OR = 2.131, 95% CI = 1.191-3.812] and continence [OR = 1.436, 95% CI = 0.925-2.231]; perceived risk of falling in the nurses' clinical judgement [OR = 1.994, 95% CI = 1.710-2.324], daily behavioural problems [OR = 1.935, 95% CI = 1.316-2.846] and less than daily behavioural problems [OR = 1.446, 95% CI = 1.048-1.995]; decreased well-being of the informal caregiver [OR = 1.472, 95% CI = 1.126-1.925], the informal caregiver's dissatisfaction with family support [OR = 1.339, 95% CI = 1.003-1.788]; patient's cognitive impairment [OR = 1.398, 95% CI = 1.290-1.515]; and polypharmacy [OR = 1.415, 95% CI = 1.219-1.641]. The nurses' perception of risk of falling, cognitive impairment (observed with the Cognitive Performance Scale) and supervision are the only variables consistently associated with restraint use across all the analyses. CONCLUSION: The study results provide insight into new and context-specific factors associated with restraint use in home care (e.g. supervision, informal caregiver's decreased well-being and dissatisfaction with family support). These insights could support the development of interventions to reduce restraint use in home care.status: publishe

Abstract thinking about negative events in dysphoric students leads to negative generalization

The severity of many psychological disorders is associated with an increasing amount of different stimuli or situations that elicit a maladaptive response. This is known as the process of (over)-generalization and is often characteristic of individuals with emotional disorders. Recently, abstract repetitive thought has been proposed to be a transdiagnostic marker in several disorders (e.g., worry in anxiety; rumination in depression). The present study examined the impact of an abstract thinking style (compared to a more concrete thinking style) as a mechanism that contributes to generalization. Students (N=83) were trained in either an abstract or concrete thinking mode and then completed a learning phase and finally a generalization test phase. High dysphoric students showed more negative generalization in the abstract condition compared to the concrete condition. For low dysphoric participants, the two thinking styles did not result in a difference in generalization. Implications for the transdiagnostic value of an abstract processing style in depression and anxiety are discussed.status: publishe

The Clinical Practice of Assessing Cognitive Function in Adults Receiving Electroconvulsive Therapy: Whom Are We Missing?

Cognition can be affected by electroconvulsive therapy (ECT). Good clinical practice includes neuropsychological assessment, although this is seldom a part of routine clinical practice. It looks like a substantial part of patients fail to complete cognitive assessments. This constitutes a problem in the generalizability of published clinical research on cognitive side effects. Most studies of ECT-related cognitive adverse effects do not discuss this important issue of so-called cognitive test nonparticipants. Recent findings suggest that cognitive test nonparticipants are more severely ill, and probably more vulnerable to cognitive side effects.status: publishe

A new approach for modeling generalization gradients:a case for hierarchical models

A case is made for the use of hierarchical models in the analysis of generalization gradients. Hierarchical models overcome several restrictions that are imposed by repeated measures analysis-of-variance (rANOVA), the default statistical method in current generalization research. More specifically, hierarchical models allow to include continuous independent variables and overcomes problematic assumptions such as sphericity. We focus on how generalization research can benefit from this added flexibility. In a simulation study we demonstrate the dominance of hierarchical models over rANOVA. In addition, we show the lack of efficiency of the Mauchly's sphericity test in sample sizes typical for generalization research, and confirm how violations of sphericity increase the probability of type I errors. A worked example of a hierarchical model is provided, with a specific emphasis on the interpretation of parameters relevant for generalization research

A relationship between verbal aggression and personal network size

Aggression has been associated with negative social consequences. Yet, more adaptive views of aggression hold that it can have beneficial correlates as well. In four studies, we examined the relationship between aggression and personal network size, a property associated with important social benefits. The results pointed to a consistent positive relationship between verbal aggression and social network size. This relationship remained after controlling for third variables like extraversion and when using different measures of network size. The fourth study sought to explain the relationships in terms of mutual relationships with status and power, but found no support for mediation.status: publishe

A new approach for modeling generalization gradients: A case for hierarchical models

A case is made for the use of hierarchical models in the analysis of generalization gradients. Hierarchical models overcome several restrictions that are imposed by repeated measures analysis-of-variance (rANOVA), the default statistical method in current generalization research. More specifically, hierarchical models allow to include continuous independent variables and overcomes problematic assumptions such as sphericity. We focus on how generalization research can benefit from this added flexibility. In a simulation study we demonstrate the dominance of hierarchical models over rANOVA. In addition, we show the lack of efficiency of the Mauchly's sphericity test in sample sizes typical for generalization research, and confirm how violations of sphericity increase the probability of type I errors. A worked example of a hierarchical model is provided, with a specific emphasis on the interpretation of parameters relevant for generalization research.status: publishe