Leveraged Resources and Systems Changes in Community Collaboration

Most models of community collaboration emphasize the ability of diverse partners to come together to enact systematic changes that improve the health of individuals and communities. The ability of these groups to leverage resources is thought to be an important marker of successful collaboration and eventual improvements in community health. However, there is a paucity of research addressing linkages between systems change activities and leveraged resources. This study used a sample of collaboratives (N = 157) that received technical assistance and funding through the Georgia Family Connection Partnership (GaFCP) between 2006 and 2007. Data were collected from collaborative report of activities and funding, member ratings of collaborative functioning, and characteristics of the communities served by the collaboratives drawn from US Census data. Cross-lagged regression models tested longitudinal associations between systems change activities and leveraged dollars. The results indicated that systems change activities predict increased leveraging of resources from state/federal and private partners. However, there was no evidence that systems changes were linked with leveraging resources from local groups and agencies. These findings have important implications for providing technical assistance and training to health partnerships. Furthermore, future research should consider the relative strength of different systems change activities in relation to the ability of coalitions to leverage resources.     

Looking back and falling further behind: The moderating role of rumination on the relationship between organizational politics and employee attitudes,well-being,and performance

The current study tested the theoretically relevant, yet previously unexamined, role of rumination on the relationship between politics perceptions and a variety of threat responses. Drawing from Response Styles Theory, it was argued that rumination amplifies the effects of politics by enhancing the influence of negative information on cognition, interfering with problem-solving, and undermining sources of social support. The work stress literature, along with extant politics research, served to identify four variables – job satisfaction, tension, depressed work mood, and employee effort/performance – that served as study outcomes. Across three unique samples, hypothesized relationships were strongly supported, indicating that politics perceptions negatively affected work outcomes of high ruminators, but demonstrate little influence on those who engage in less rumination. Moreover, the nonlinear influences of the focal constructs were considered and the results confirmed atypical relational forms. Contributions, implications for theory and practice, strengths and limitations, and future research directions are described.     

SAwSu: An Integrated Model of Associative and Reinforcement Learning

Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) and reinforcement learning (RL). We contrast the integrated model with standalone AL and RL models in three simulation studies. First, a synthetic grid‐navigation task is employed to highlight performance advantages for the integrated model in an environment where the reward structure is both diverse and dynamic. The second and third simulations contrast the performances of the three models in behavioral experiments, demonstrating advantages for the integrated model in accounting for behavioral data.     

A Clinical Intervention in Chronic Pain and Insomnia with a Combined Model of Treatment: A Test of Concept

Co-occurring chronic pain and insomnia are common in a clinical setting. Cognitive–behavioral theoretical (CBT) frameworks exist for both conditions independently. The purpose of this study was to address the problem of co-occurring chronic pain and insomnia with an integrated CBT model based on empirical support. One-hundred eleven individuals (age range 21–65 years) meeting the general criteria for chronic pain and insomnia were included in this study. Participants completed a demographic form, the Dysfunctional Beliefs and Attitudes about Sleep—16-item version, Insomnia Severity Index, Sleep Hygiene Index, Sleep Associated Monitoring Index, Pain Catastrophizing Scale, Pain Disability Questionnaire, Modified Somatic Perceptions Questionnaire, Hospital Anxiety and Depression Scale, and Multidimensional Scale of Perceived Social Support. Significant positive bivariate relationships were observed for pain catastrophizing (PC) and dysfunctional beliefs and attitudes about sleep (DBAS), as well as somatic awareness and sleep-associated monitoring. Two backward stepwise regression models were utilized to determine a model for predicting insomnia severity and pain disability respectively using a combination of sleep and pain-associated measures. Insomnia severity was predicted by DBAS, PC, and somatic awareness. Pain disability was predicted by PC, DBAS, depression, and social support. Maladaptive thought patterns related to pain and insomnia and associated features appear to have a synergistic effect on both insomnia severity and pain disability and support a combined cognitive–behavioral model.