Ministers’ Perceptions of Depression: A Model to Understand and Improve Care

While depression is a significant worldwide health problem, fewer than half of individuals seek care. Faith-based communities may play an important role in improving the knowledge of and linkage to depression care. Focus groups of Caucasian and African-American clergy were conducted to explore these issues. Using a grounded theory approach five themes emerged, including explanatory models of depression, barriers and facilitators to care, and recommendations for involving religious communities. A model of depression care pathways was constructed that integrates secular and spiritual approaches. The findings highlight the need for targeted interventions to build trust between clergy and mental health professionals. Teresa L. Kramer, Ph.D., is Chief Psychologist and Associate Professor of Psychiatry in the College of Medicine, University of Arkansas for Medical Sciences in Little Rock. She has conducted research in child, adolescent and adult mental health assessment, outcomes, and quality of care. Her current research on adolescent depression is funded through a Research Career Development Award from the National Institute of Mental Health. She is currently developing faith-based programs to educate ministers and their congregations about depression-related illness. Dean Blevins, Ph.D., teaches in the Department of Psychiatry, College of Medicine, at the university and is associated with the Center for Mental Health & Outcomes Research, Central Arkansas Veterans Healthcare System, and the South Central Mental Illness, Research, and Clinical Center in Little Rock. Terri L. Miller, Ph.D., also teaches in the Department of Psychiatry. Martha Phillips, Ph.D., is at the Department of Human Services in Little Rock. Vanessa Davis and Billy Burris are employed at the Division of Behavioral Health Services, also in Little Rock.     

Voluntary and involuntary attention have different consequences: the effect of perceptual difficulty

We propose that voluntary and involuntary attention affect different mechanisms and have different consequences for performance measured in reaction time. Voluntary attention enhances the perceptual representation whereas involuntary attention affects the tendency to respond to stimuli in one location or another. In a spatial-cueing paradigm, we manipulated perceptual difficulty and compared voluntary and involuntary attention. For the voluntary-attention condition, the spatial cue was predictive of the target location, whereas in the involuntary-attention condition it was not. Increasing perceptual difficulty increased the attention effect with voluntary attention, but decreased it with involuntary attention. Thus voluntary and involuntary attention have different consequences when perceptual difficulty is manipulated and hence are probably caused by different mechanisms.     

Depression,Sociocultural Factors,and African American Women

The authors discuss depression in African American women from a sociocultural perspective, including aspects of oppression and racism that affect symptom manifestation. The authors highlight John Henryism as a coping mechanism, the history and continuing role of the African American church as a safe haven, and strategies for culturally competent practice. Los autores discuten la depresión en mujeres Afroamericanas desde una perspectiva sociocultural, incluyendo los aspectos de opresión y racismo que afectan a la manifestación de los síntomas. Los autores destacan el John Henry‐ismo como mecanismo de afrontamiento, la historia y el papel constante de la iglesia Afroamericana como refugio seguro, y las estrategias para una práctica culturalmente competente.     

More than just another face in the crowd: superior detection of threatening facial expressions in children and adults

Threatening facial expressions can signal the approach of someone or something potentially dangerous. Past research has established that adults have an attentional bias for angry faces, visually detecting their presence more quickly than happy or neutral faces. Two new findings are reported here. First, evidence is presented that young children share this attentional bias. In five experiments, young children and adults were asked to find a picture of a target face among an array of eight distracter faces. Both age groups detected threat‐relevant faces – angry and frightened – more rapidly than non‐threat‐relevant faces (happy and sad). Second, evidence is presented that both adults and children have an attentional bias for negative stimuli overall. All negative faces were detected more quickly than positive ones in both age groups. As the first evidence that young children exhibit the same superior detection of threatening facial expressions as adults, this research provides important support for the existence of an evolved attentional bias for threatening stimuli.     

Face processing at birth: a Thatcher illusion study

The present study was aimed at exploring newborns’ ability to recognize configural changes within real face images by testing newborns’ sensitivity to the Thatcher illusion. Using the habituation procedure, newborns’ ability to discriminate between an unaltered face image and the same face with the eyes and the mouth 180° rotated (i.e. thatcherized) was investigated. Newborns were able to discriminate an unaltered from the thatcherized version of the same face when stimuli were presented in the canonical upright orientation (Experiment 1), but failed to discriminate the same stimuli when they were presented upside‐down (Experiment 2). The results indicate that sensitivity to fine spatial information (defined as second‐order relational information) in processing upright faces is already present at birth.     

Investigating naturalistic decision making in a simulated microworld: What questions should we ask?

Computer-simulated microworlds can provide a controlled method for investigating concepts related to naturalistic decision making (NDM). However, the extent to which these tools can be used to generate meaningful outcomes is unknown. The current study used a microworld called Networked Fire Chief (NFC) to explore the range of skills and knowledge acquired as participants gained practice on the program. The complexity of the NFC NDM environment was also explored. Twenty participants each completed 20 equivalent 5-min scenarios on NFC. Interview data, behavioral data and performance scores were collected across the trials. Results confirmed that NFC provides an environment that promotes appropriate perceptual-cognitive processing for NDM. However, performance improved to only a small extent across the 20 trials in four performance areas: speed, accuracy, efficiency and planning. In addition, the number of personal and situational factors to be considered when decision making on NFC was not comparable with real-world NDM environments. Overall, results indicated that the use of microworlds for research should be regulated by an understanding of the limitations of their applicability.     

The impact of aggressive priming, rumination, and frustration on prison sentencing

We tested the hypothesis that ruminating about a previous aggressive prime interacts with a subsequent minor frustration to augment aggression. Sixty participants watched a video showing a murder during a bank robbery (the aggressive prime). Those in the rumination condition were asked to write about the video for 20 min. In the no rumination condition, participants were given 20 min to complete an irrelevant task. Participants were then either frustrated or not frustrated. Our results supported the main hypothesis. Relative to the control condition, neither rumination nor frustration alone impacted aggression. Rumination, in combination with a minor frustration, however, increased the recommended prison sentence towards the targets. We discuss the implications of our findings.     

On scaling models applied to data from several groups

Statistical methods are presented to facilitate a more complete analysis of results obtained when a scaling model is applied to data from two or more groups. These methods can be used to (a) compare the corresponding estimated latent distributions obtained using the scaling model applied to the different groups, (b) compare the corresponding estimated item reliabilities (or item response error rates) for the different groups, and (c) test whether the scaling model applied to the several groups can be replaced by a more parsimonious scaling model that includes various homogeneity constraints (i.e., constraints that describe which parameters in the model are the same for the several groups). Various kinds of scaling models are considered here in the multiple-group context.Support for this research was provided in part by the National Science Foundation, to Clogg by Grant No. SES-7823759 and to Goodman by Grant No. SES-8303838. Clogg and Goodman were Fellows at the Center for Advanced Study in the Behavioral Sciences when part of the research was done, with financial support provided in part by National Science Foundation grant BNS-8011494 to the Center. The authors are indebted to Mark P. Becker and James W. Shockey for helpful comments.