Perceived racism and mental health among Black American adults: a meta-analytic review

The literature indicates that perceived racism tends to be associated with adverse psychological and physiological outcomes; however, findings in this area are not yet conclusive. In this meta-analysis, we systematically reviewed 66 studies (total sample size of 18,140 across studies), published between January 1996 and April 2011, on the associations between racism and mental health among Black Americans. Using a random-effects model, we found a positive association between perceived racism and psychological distress (r = .20). We found a moderation effect for psychological outcomes, with anxiety, depression, and other psychiatric symptoms having a significantly stronger association than quality of life indicators. We did not detect moderation effects for type of racism scale, measurement precision, sample type, or type of publication. Implications for research and practice are discussed.     

Life events and personality predicting loneliness among centenarians: findings from the Georgia Centenarian Study

Regarding the purpose of this study, the researchers analyzed the roles that both life events (life-time positive events and life-time negative events) and personality (Neuroticism, Extraversion, Trust, Competence, and Ideas) played in participants of the Georgia Centenarian Study. The researchers analyzed these variables to determine whether they predicted loneliness. Analyses indicated that life-time negative events significantly predicted loneliness. In essence, the higher was the number of life-time negative life events, the higher was the loneliness score. Moreover, Neuroticism, Competence, and Ideas were all significant predictors of loneliness. The higher was the level of Neuroticism and intellectual curiosity, the higher was the level of loneliness, whereas the lower was the level of Competence, the higher was the level of loneliness. In addition, both life-time positive and life-time negative life events were significant predictors of Neuroticism. The higher was the number of life-time positive events, the lower was the level of Neuroticism, and the higher was the number of life-time negative events, the greater was the level of Neuroticism. These results indicated that life-time negative events indirectly affect loneliness via Neuroticism. Last, our results indicated that the Competence facet mediated the relationship between lifetime negative life events and loneliness. Life-time negative life events significantly affected centenarians' perceived competence, and Competence in turn significantly affected the centenarians' loneliness. These results as a whole not only add to our understanding of the link between personality and loneliness, but also provide new insight into how life events predict loneliness.     

Functional Multiple-Set Canonical Correlation Analysis

We propose functional multiple-set canonical correlation analysis for exploring associations among multiple sets of functions. The proposed method includes functional canonical correlation analysis as a special case when only two sets of functions are considered. As in classical multiple-set canonical correlation analysis, computationally, the method solves a matrix eigen-analysis problem through the adoption of a basis expansion approach to approximating data and weight functions. We apply the proposed method to functional magnetic resonance imaging (fMRI) data to identify networks of neural activity that are commonly activated across subjects while carrying out a working memory task.     

Developing a Prevention Synthesis and Translation System to Promote Science‐Based Approaches to Teen Pregnancy,HIV and STI Prevention

The Interactive Systems Framework for Dissemination and Implementation (ISF) is a multi‐system framework that can guide research‐to‐practice efforts by building and supporting the work of three interacting systems: the Prevention Delivery, Support, and Synthesis and Translation Systems. The Synthesis and Translation system is vital to bridging science and practice, yet how to develop it and train support system partners to use it is under‐researched. This article bridges this gap by offering a case example of the planning, development, and use of a synthesis and translation product called Promoting Science‐based Approaches to Teen Pregnancy Prevention using Getting To Outcomes. The case presented documents the process used for developing the synthesis and translation product, reports on efforts to engage the Prevention Support system to use the product, and how we approached building interaction between the Synthesis and Translation System and the Support System partners. Practice‐oriented evaluation data are also presented. Implications for practice, policy and research are discussed. Special Issue: Advances in Bridging Research and Practice Using the Interactive System Framework for Dissemination and Implementation; Guest Editors: Abraham Wandersman, Paul Flaspohler, Catherine A. Lesesne, Richard Puddy; Action Editor: Emilie Phillips Smith     

Effects of the KiVa Anti-bullying Program on Adolescents’ Depression, Anxiety, and Perception of Peers

The present study investigated the effects of the KiVa antibullying program on students’ anxiety, depression, and perception of peers in Grades 4–6. Furthermore, it was investigated whether reductions in peer-reported victimization predicted changes in these outcome variables. The study participants included 7,741 students from 78 schools who were randomly assigned to either intervention or control condition, and the program effects were tested with structural equation modeling. A cross-lagged panel model suggested that the KiVa program is effective for reducing students’ internalizing problems and improving their peer-group perceptions. Finally, changes in anxiety, depression, and positive peer perceptions were found to be predicted by reductions in victimization. Implications of the findings and future directions for research are discussed.     

Intractability and the use of heuristics in psychological explanations

Many cognitive scientists, having discovered that some computational-level characterization f of a cognitive capacity ${\phi}$ is intractable, invoke heuristics as algorithmic-level explanations of how cognizers compute f. We argue that such explanations are actually dysfunctional, and rebut five possible objections. We then propose computational-level theory revision as a principled and workable alternative.     

Dynamic GSCA (Generalized Structured Component Analysis) with Applications to the Analysis of Effective Connectivity in Functional Neuroimaging Data

We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSCA by incorporating a multivariate autoregressive model to account for the dynamic nature of data taken over time. Dynamic GSCA also incorporates direct and modulating effects of input variables on specific latent variables and on connections between latent variables, respectively. An alternating least square (ALS) algorithm is developed for parameter estimation. An improved bootstrap method called a modified moving block bootstrap method is used to assess reliability of parameter estimates, which deals with time dependence between consecutive observations effectively. We analyze synthetic and real data to illustrate the feasibility of the proposed method.     

Age-related declines in the fidelity of newly acquired category representations

We present a theory suggesting that the ability to build category representations that reflect the nuances of category structures in the environment depends upon clustering mechanisms instantiated in an MTL-PFC-based circuit. Because function in this circuit declines with age, we predict that the ability to build category representations will be impaired in older adults. Consistent with this prediction, we find that older adults are impaired relative to younger adults at learning nuanced category structures that contain exceptions to the rule. Model-based analysis reveals that this deficit arises from older adults' failure to engage clustering mechanisms to separate exception and rule-following items in memory.     

Cognitive and affective correlates of decisional balance regarding screening mammography in older women

Participation in screening mammography remains suboptimal. This research aimed to improve understanding of ways to facilitate screening mammography attendance. One hundred and forty-two women from Gold Coast, Australia, aged 50-75, participated in the study. Social cognitive variables were assessed as potential predictors of mammography attendance. Most participants (79%) were maintaining regular screening mammography. Greater knowledge of breast cancer was the strongest predictor of decisional balance in favor of attending screening. Women who had relapsed from screening had significantly lower breast cancer worry than those contemplating attending for the first time. The results were consistent with previous research and point to factors screening services could consider to increase uptake.