Facial Expressions of Emotion: Are Angry Faces Detected More Efficiently?

The rapid detection of facial expressions of anger or threat has obvious adaptive value. In this study, we examined the efficiency of facial processing by means of a visual search task. Participants searched displays of schematic faces and were required to determine whether the faces displayed were all the same or whether one was different. Four main results were found: (1) When displays contained the same faces, people were slower in detecting the absence of a discrepant face when the faces displayed angry (or sad/angry) rather than happy expressions. (2) When displays contained a discrepant face people were faster in detecting this when the discrepant face displayed an angry rather than a happy expression. (3) Neither of these patterns for same and different displays was apparent when face displays were inverted, or when just the mouth was presented in isolation. (4) The search slopes for angry targets were significantly lower than for happy targets. These results suggest that detection of angry facial expressions is fast and efficient, although does not "pop-out" in the traditional sense.     

Acceptance-based treatment for persons with complex, long standing chronic pain: a preliminary analysis of treatment outcome in comparison to a waiting phase

The concept of acceptance is receiving increased attention as an alternate approach to the suffering that is often associated with persistent and disabling pain. This approach differs from established treatments in that it does not principally focus on reducing pain, but on reducing the distressing and disabling influences of pain as they concern important areas in patients' lives. The present analyses represent a preliminary evaluation of an acceptance-based approach to chronic pain within an interdisciplinary treatment program. One hundred and eight patients with complex chronic pain conditions completed treatment and provided data for the current study. Treatment was conducted in a 3- or 4-week residential or hospital-based format. It included a number of exposure-based, experiential, and other behavior change methods focused on increasing (a) engagement in daily activity regardless of pain and (b) willingness to have pain present without responding to it. Significant improvements in emotional, social, and physical functioning, and healthcare use were demonstrated following treatment. The majority of improvements continued at 3-months post-treatment. Improvements in most outcomes during treatment were correlated with increases in acceptance, supporting the proposed process of treatment.     

The evolution of domain-general mechanisms in intelligence and learning

For both humans and animals, domain-general mechanisms are fallible but powerful tools for attaining evolutionary goals (e.g., resources) in uncertain, novel environments that were not recurrent features of the environment of evolutionary adaptedness. Domain-general mechanisms interact in complex ways with domain-specific, information-encapsulated modules, most importantly by manipulating information obtained from various modules in attempting to solve novel problems. Mechanisms of general intelligence, particularly the executive functions of working memory, underlie analogical reasoning as well as the decontextualization processes that are central to human thought. Although there is a variety of evolved, special purpose learning devices, learning is also characterized by domain-general mechanisms that are able to achieve evolutionary goals by making novel and serendipitous associations with environmental cues.     

Gender differences in leg stiffness and stiffness recruitment strategy during two-legged hopping

The authors compared leg stiffness (K(VERT)), muscle activation, and joint movement patterns between 11 men and 10 women during hopping. Physically active and healthy men and women performed continuous 2-legged hopping at their preferred rate and at 3.0 Hz. Compared with men, women demonstrated decreased K(VERT); however, after the authors normalized for body mass, gender differences in K(VERT) were eliminated. In comparison with men, women also demonstrated increased quadriceps and soleus activity, as well as greater quadriceps-to-hamstrings coactivation ratios. There were no significant gender differences for joint movement patterns (p>.05). The relationship between the observed gender differences in muscle recruitment and the increased risk of anterior cruciate ligament injury in women requires further study.     

An illustration of multilevel factor analysis

The factor analysis of repeated measures psychiatric data presents interesting challenges for researchers in terms of identifying the latent structure of an assessment instrument. Specifically, repeated measures contain both within and between individual sources of variance. Although a number of techniques exist for separating out these 2 sources of variance, all are problematic. Recently, researchers have proposed that exploratory multilevel factor analysis (MFA) be used to appropriately analyze the latent structure of repeated measures data. The chief objective of this report is to provide a didactic step-by-step guide on how MFA may be applied to psychiatric data. In the discussion, we describe difficulties associated with MFA and consider challenges in factor analyzing life event appraisals in psychiatric samples.     

An examination of Euro-American and African-American differences in social physique anxiety among college women

Many studies have examined sex differences in social physique anxiety; however, few researchers have examined possible perceptual differences in such anxiety based on ethnicity. The present purpose was to examine social physique anxiety among college-age women of Euro-American and African-American descent. Participants (N = 91) from physical activity classes at a university located in the southeastern United States completed the Social Physique Anxiety Scale. The participants were 67 Euro-Americans and 24 African Americans. An independent t test yielded a significant difference (p =.01) between groups on Eklund's scale, which supports the hypothesis.     

Correlations among family environment, academic achievement, and academic attainment in a large sample of young Australian adults

In a set of interrelated Australian and Spanish investigations in 2001-2004, relationships were examined among intellectual ability, family environment, and academic achievement. This follow-up study used longitudinal data from young Australian adults (4,397 men, 4,703 women; M age = 20.2 yr., SD = 0.4), to investigate relationships among earlier academic achievement, family influences, and academic attainment. From multiple regression and commonality analyses the findings indicated that earlier achievement and family influences were important as separate variables in explaining differences in later academic attainment (18.6% and 14.8%, respectively, for men; 14.5% and 11.5%, respectively, for women). In addition, earlier achievement and family influences reinforced each other to account for additional shared variance (9.1% for men, 6.3% for women) in young Australian adults' academic attainment.     

Development and validation of a self-report measure of emotional intelligence as a multidimensional trait domain

Psychometric review of 33 peer-reviewed studies of six self-report emotional intelligence (EI) measures supports a multidimensional conceptualization of EI. The nature and number of EI facets, however, and their distinctiveness from more established trait domains is unclear. Building on earlier efforts, three studies were undertaken (Ns = 138, 163, 152) to develop self-report measures of 10 facets of EI proposed by Salovey and Mayer (1990). Results support the reliability (internal consistency, test-retest) and validity (content, criterion, construct, structural) of the proposed scales and their distinctiveness among themselves and with respect to more established trait domains (e.g., personality). Specifically, three satisfaction and four cross-cultural adaptability facets were predicted uniquely by 9 of the 10 proposed subscales, controlling for social desirability, the Big Five, positive and negative affect, and self-monitoring. All told, results confirm that trait-EI can be measured using self-report and conceptualized as a distinct multidimensional domain.     

High-lethality status in patients with borderline personality disorder

Recurrent suicidal behaviors in patients with Borderline Personality Disorder (BPD) are often considered communicative gestures; however, 10% complete suicide. This study seeks to identify risk factors for suicide within a BPD sample by comparing patients with High- and Low-Lethality attempts. BPD attempters (n = 113) were assessed on demographic, diagnostic, and personality variables: clinical symptoms, suicidal behaviors; childhood, family, and treatment histories; social adjustment; and recent life events. Forty-four High-Lethality attempters, defined by a score of 4 or more on Beck's Medical Lethality Scale, were compared to 69 Low-Lethality attempters. Discriminating variables were entered in a multivariate logistic regression model to define predictors of High-Lethality status. High-Lethality attempters were older, with children, less education, and lower socioeconomic class (SES) than Low-Lethality attempters. They were more likely to have Major Depressive Disorder (MDD), co-morbid Antisocial Personality Disorder (ASPD), and family histories of substance abuse. They reported greater intent to die, more lifetime attempts, hospitalizations, and time in the hospital. High-Lethality status was best predicted by low SES, co-morbid ASPD, extensive treatment histories, and greater intent to die. These characteristics resemble profiles of patients who complete suicide, are not specific for BPD, and do not include impulsivity, aggression, or severity of BPD criteria.