Testing a self-determination theory process model for promoting glycemic control through diabetes self-management.

A longitudinal study tested the self-determination theory (SDT) process model of health behavior change for glycemic control within a randomized trial of patient activation versus passive education. Glycosylated hemoglobin for patients with Type 2 diabetes (n=159) was assessed at baseline, 6 months, and 12 months. Autonomous motivation and perceived competence were assessed at baseline and 6 months, and the autonomy supportiveness of clinical practitioners was assessed at 3 months. Perceptions of autonomy and competence were promoted by perceived autonomy support, and changes in perceptions of autonomy and competence, in turn, predicted change in glycemic control. Self-management behaviors mediated the relation between change in perceived competence and change in glycemic control. The self-determination process model fit the data well.     

A Content Analysis of Female Body Imagery in Video Games

The 150 top-selling video games sold in the U.S. across nine platforms were content analyzed to study representations of female bodies. All human females in the games were captured via screenshot and body parts measured. These measurements were then compared to actual anthropometric data drawn from a representative sample of 3,000 American women. The results show that female video game characters at low levels of photorealism are systematically larger than the average American woman whereas female characters at the highest level of photorealism are systematically thinner. This study also found that games rated for children featured females that are thinner than characters in games rated for adults. These findings are discussed in terms of cultivation theory.     

Further Evidence of the Reliability and Validity of the Multidimensional Anxiety

The psychometric properties of the Multidimensional Anxiety Scale for Children (MASC) were examined in adolescent psychiatric inpatient samples. In Study 1 (n = 287), confirmatory factor analyses provided satisfactory fit for the four-factor (comparative fit index; CFI = 0.856) and higher-order (CFI = 0.854) solutions. Using parcels as items, the fit of the four-factor model was improved substantially (CFI = 0.935). Next, in the bifactor analyses, support was attained for a model that included a general factor and four domain specific subfactors. In Study 2 (n = 195 inpatient youths), the MASC showed good scale reliability and concurrent validity. Results of the receiver operating characteristic curve and binary logistic regression analyses provided adequate evidence for discriminative validity. In Study 3 (n = 40), test–retest reliability of scores on the MASC-10 scale over a 3-week period was adequate (r _tt = 0.83, p < 0.001) for children ages 8 to 11 years.     

Individual differences, intelligence, and behavior analysis

Despite its avowed goal of understanding individual behavior, the field of behavior analysis has largely ignored the determinants of consistent differences in level of performance among individuals. The present article discusses major findings in the study of individual differences in intelligence from the conceptual framework of a functional analysis of behavior. In addition to general intelligence, we discuss three other major aspects of behavior in which individuals differ: speed of processing, working memory, and the learning of three-term contingencies. Despite recent progress in our understanding of the relations among these aspects of behavior, numerous issues remain unresolved. Researchers need to determine which learning tasks predict individual differences in intelligence and which do not, and then identify the specific characteristics of these tasks that make such prediction possible.     

The Role of Small and Medium-Sized African-American Churches in Promoting Healthy Life Styles

The issues of poor health care, poverty, crime, and HIV infection make it more difficult for minority communities to combat substance abuse and other diseases that are prevalent in the African-American community. Faith communities in general, and African-American churches in particular, are a largely untapped, but potent, resource to reduce the toll of substance abuse and other health issues. Information about ministers' knowledge, attitudes, and behaviors regarding leading health indicators, the frequency with which they discuss these issues from the pulpit, and organizational readiness to develop and implement interventions can be the foundation of clergy training and health intervention efforts.