Effect of treatments for depression on quality of life: a meta-analysis*

Cognitive-behavioral therapy (CBT) and selective serotonin reuptake inhibitors (SSRIs) are the two first-line treatments for depression, but little is known about their effects on quality of life (QOL). A meta-analysis was conducted to examine changes in QOL in adults with major depressive disorder who received CBT (24 studies examining 1969 patients) or SSRI treatment (13 studies examining 4286 patients) for their depression. Moderate improvements in QOL from pre to post-treatment were observed in both CBT (Hedges’ g = .63) and SSRI (Hedges’ g = .79) treatments. The effect size remained stable over the course of the follow-up period for CBT. No data were available to examine follow-ups in the SSRI group. QOL effect sizes decreased linearly with publication year, and greater improvements in depression were significantly associated with greater improvements in QOL for CBT, but not for SSRIs. CBT and SSRIs for depression were both associated with moderate improvements in QOL, but are possibly caused by different mechanisms.     

Creating state of the art,next-generation Virtual Reality exposure therapies for anxiety disorders using consumer hardware platforms: design considerations and future directions

Decades of research and more than 20 randomized controlled trials show that Virtual Reality exposure therapy (VRET) is effective in reducing fear and anxiety. Unfortunately, few providers or patients have had access to the costly and technical equipment previously required. Recent technological advances in the form of consumer Virtual Reality (VR) systems (e.g. Oculus Rift and Samsung Gear), however, now make widespread use of VRET in clinical settings and as self-help applications possible. In this literature review, we detail the current state of VR technology and discuss important therapeutic considerations in designing self-help and clinician-led VRETs, such as platform choice, exposure progression design, inhibitory learning strategies, stimuli tailoring, gamification, virtual social learning and more. We illustrate how these therapeutic components can be incorporated and utilized in VRET applications, taking full advantage of the unique capabilities of virtual environments, and showcase some of these features by describing the development of a consumer-ready, gamified self-help VRET application for low-cost commercially available VR hardware. We also raise and discuss challenges in the planning, development, evaluation, and dissemination of VRET applications, including the need for more high-quality research. We conclude by discussing how new technology (e.g. eye-tracking) can be incorporated into future VRETs and how widespread use of VRET self-help applications will enable collection of naturalistic “Big Data” that promises to inform learning theory and behavioral therapy in general.     

A measure of perceived pain and tobacco smoking interrelations: pilot validation of the pain and smoking inventory

Mounting evidence indicates that pain can motivate cigarette smoking behavior, smokers have reliably endorsed the use of tobacco to cope with pain, and there is reason to suspect that pain may impede smoking cessation. Smoking-related outcome expectancies are among the best predictors of cigarette consumption and relapse, and the goal of this pilot study was to develop a standardized measure of how tobacco smokers perceive their pain and smoking behavior to be interrelated (i.e. pain as a motivator of smoking, expectancies for smoking as a means of coping with pain, and pain as a barrier to quitting). Participants (N = 75) completed an online survey that was designed to assess interrelations between pain and tobacco smoking. The nine-item Pain and Smoking Inventory (PSI) demonstrated excellent internal consistency (α = .95). As expected, PSI scores were higher among smokers with chronic pain (vs. no pain), and were positively associated with established indices of both pain and tobacco smoking dependence. These results corroborate the notion that smokers can effectively communicate perceptions of interrelations between their pain and smoking behavior. Future research is needed to establish reliability and validity of the PSI among larger, more diverse samples of smokers with varying levels of pain. Future work should also examine PSI scores as predictors of smoking cessation outcomes, and whether PSI data may usefully inform the development of tailored interventions for smokers in pain.     

Right visual-field advantage in the attentional blink: Asymmetry in attentional gating across time and space

When two targets are presented in a rapid serial visual presentation (RSVP), recognition of the second target (T2) is usually reduced when presented 150–500 ms after the first target, demonstrating an attentional blink (AB). Previous studies have shown a left visual-field (LVF) advantage in T2 recognition, when T2 was embedded in one of two streams, demanding top-down attention for its recognition. Here, we explored the impact of bottom-up saliency on spatial asymmetry in the AB. When T2 was spatially shifted outside from the RSVP, creating an abrupt onset of T2, right T2s showed a right visual-field (RVF) advantage. In lag-1 trials, right T2s were not only better recognized, but also showed a low T1-T2 order error rate. In contrast, recognized left T2s exhibited high order error rate. Without abrupt onset, symmetrical AB was found and order error rate was similarly low in both sides. Follow-up experiments showed that, while RVF advantage was related to bottom-up saliency, order errors were affected by T1 mask. The discrepancy between LVF and RVF advantage in the AB could be resolved in terms of two mechanisms of attentional gating: top-down attentional gating, which is biased towards LVF, and bottom-up attentional gating, which is biased towards RVF.     

Double Decomposition of Level-1 Variables in Multilevel Models: An Analysis of the Flynn Effect in the NSLY Data

This paper introduces an extension of cluster mean centering (also called group mean centering) for multilevel models, which we call “double decomposition (DD).” This centering method separates between-level variance, as in cluster mean centering, but also decomposes within-level variance of the same variable. This process retains the benefits of cluster mean centering but allows for context variables derived from lower level variables, other than the cluster mean, to be incorporated into the model. A brief simulation study is presented, demonstrating the potential advantage (or even necessity) for DD in certain circumstances. Several applications to multilevel analysis are discussed. Finally, an empirical demonstration examining the Flynn effect (Flynn, 1987 Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171. https://doi.org/10.1037/h0090408.[Crossref], [Web of Science ®] , [Google Scholar]), our motivating example, is presented. The use of DD in the analysis provides a novel method to narrow the field of plausible causal hypotheses regarding the Flynn effect, in line with suggestions by a number of researchers (Mingroni, 2014 Mingroni, M. A. (2014). Future efforts in Flynn effect research: Balancing reductionism with holism. Journal of Intelligence, 2(4), 122. https://doi.org/10.3390/jintelligence2040122.[Crossref] , [Google Scholar]; Rodgers, 2015 Rodgers, J. L. (2015). Methodological issues associated with studying the Flynn effect: Exploratory and confirmatory efforts in the past, present, and future. Journal of Intelligence, 3(4), 111. https://doi.org/10.3390/jintelligence3040111. [Crossref] , [Google Scholar]).     

Motivating emotional intelligence: A reinforcement sensitivity theory (RST) perspective

Trait emotional intelligence (trait EI) is generally associated with positive outcomes and can inform clinical and social interventions. We investigated the sub-factors of trait EI: Wellbeing, Self-control, Emotionality, and Sociability, in the context of the reinforcement sensitivity theory (RST) of motivation. In Study 1, participants (N?=?247) completed Carver and White’s (J Personal Soc Psychol 67:319–333; Carver, White, Journal of Personality and Social Psychology 67:319–333, 1994) BIS/BAS scales and a measure of trait EI. All EI sub-factors were positively associated with BAS Drive and negatively with BIS. Study 2 (N?=?382) employed a new questionnaire based on revised RST (Corr and Cooper, Psychol Assess 28:1427–1440; Corr, Cooper, Psychological Assessment 28:1427–1440, 2016). All trait EI factors were positively associated with BAS Goal-Drive Persistence and Reward Interest, and negatively with the BIS. Self-control showed negative associations with BAS Impulsivity and was the only factor not to correlate with BAS Reward Reactivity. Results suggest that high trait EI individuals are goal driven, sensitive to reward and lower in avoidance motivation and negative emotion. This motivational basis to trait EI further explicates its structure.     

Emotion dysregulation and threat-related attention bias variability

Although theory suggests that a bias for attending to threat information (ABT) may be a biobehavioral process underlying the transdiagnostic vulnerability factor of emotion dysregulation, there is a paucity of empirical evidence showing direct associations between emotion dysregulation and ABT. The purpose of the present study was to examine the relation between ABT and emotion dysregulation. Participants (N?=?200) completed a battery of self-report questionnaires and a modified dot-probe task with both neutral and threat stimuli and four stimulus presentation durations. Task response times were used to examine traditionally calculated ABT scores, as well as attention bias variability (ABV). As predicted, those with greater emotion dysregulation exhibited greater ABV. Importantly, emotion dysregulation was not associated with response time variability on trials for which only neutral stimuli were presented, thus increasing confidence that emotion dysregulation-related ABV is specific to the presence of threat stimuli and not merely a function of general variability in response times. Results suggest that those with greater emotion dysregulation exhibit attentional dyscontrol in the presence of perceived threat that is characterized by dynamic shifts between vigilance and avoidance.     

Crossover,Degendering, or…? A Multidimensional Approach to Life-Span Gender Development

Inspired by Sandra Bem and subsequent theorists, we examine gender as a multidimensional construct that differs across adulthood to test claims made by two different theories of life-span gender development—that men and women cross over and become more like the other gender with age, and that aging involves degendering or viewing gender as a less central aspect of the self. Self-report survey data from a U.S. sample of men and women recruited from Amazon’s Mechanical Turk (25–89 years, M age?=?47.38, SD?=?14.05) were used to investigate the extent to which stereotypically masculine traits; stereotypically feminine traits; androgyny; gender identification (i.e., identifying with one’s gender group and viewing this as a positive part of the self); and gender typicality (i.e., viewing oneself as a typical member of one’s gender group) differ between younger (i.e., under age 40), middle-aged (i.e., ages 40–59), and older men and women (i.e., age 60 and older) and by marital status. Results indicate that gender differences in stereotypically masculine and feminine personality traits exist, and that marital status moderates age and gender differences in traits. Among older men, those who are married are more likely to endorse stereotypically masculine traits, but also have higher androgyny scores than unmarried men. With age, both men and women perceive themselves as more typical examples of their gender group. Results are discussed as providing limited support for crossover theory, but not degendering.