Obsessive Compulsive Symptoms Predict Posttraumatic Growth: A Longitudinal Study

Although posttraumatic growth (PTG) has received growing attention, the relationship between PTG and distress remains unclear. This longitudinal study examines the relationship between posttraumatic obsessive-compulsive (OC) symptoms and PTG. Israeli veterans were followed over 17 years using self-report questionnaires of OC symptoms, posttraumatic stress disorder (PTSD), and PTG. Hierarchical regression analyses demonstrated that OC symptoms predicted PTG, even when initial PTG levels and PTSD symptoms were controlled for in the combatants group. These preliminary findings suggest that OC symptoms may play an important role in facilitating psychological growth. Future research is warranted to explore the mechanisms responsible for this relationship.     

Ethnoracial comparisons in anxiety and depression outcomes among Native Hawaiian and Pacific Islander college students

We explored differences in distress scores at intake as well as the change in anxiety and depression scores over the course of 12 therapy sessions for Native Hawaiian and Pacific Islander (NHPI) college students. Data were collected from the Center for Collegiate Mental Health (N = 256,242). Results support the notion that NHPI college students experience anxiety and depression in therapy differently from other ethnic groups with moderate-to-large magnitudes of effect.     

A New Multilevel CART Algorithm for Multilevel Data with Binary Outcomes

The multilevel logistic regression model (M-logit) is the standard model for modeling multilevel data with binary outcomes. However, many assumptions and restrictions should be considered when applying this model for unbiased estimation. To overcome these limitations, we proposed a multilevel CART (M-CART) algorithm which combines the M-logit and single level CART (S-CART) within the framework of the expectation-maximization. Simulation results showed that the proposed M-CART provided substantial improvements on classification accuracy, sensitivity, and specific over the M-logit, S-CART, and single level logistic regression model when modeling multilevel data with binary outcomes. This benefit of using M-CART was consistently found across different conditions of sample size, intra-class correlation, and when relationships between predictors and outcomes were nonlinear and nonadditive.     

The Multilevel Relationships of HIV‐Related Stigma to Child and Caregiver Mental Health among HIV‐Affected Households in South Africa

HIV/AIDS‐related (HAR) stigma is still a prevalent problem in Sub‐Saharan Africa, and has been found to be related to mental health of HIV‐positive individuals. However, no studies in the Sub‐Saharan African context have yet examined the relationship between HAR stigma and mental health among HIV‐negative, HIV‐affected adults and families; nor have any studies in this context yet examined stigma as an ecological construct predicting mental health outcomes through supra‐individual (setting level) and individual levels of influence. Multilevel modeling was used to examine multilevel, ecological relationships between HAR stigma and mental health among child and caregiver pairs from a systematic, community‐representative sample of 508 HIV‐affected households nested within 24 communities in KwaZulu‐Natal, South Africa. Two distinct dimensions of HAR stigma were measured: individual stigmatizing attitudes, and perceptions of community normative stigma. Findings suggest that individual‐level HAR stigma significantly predicts individual mental health (depression and anxiety) among HIV‐affected adults; and that community‐level HAR stigma significantly predicts both individual‐level mental health outcomes (anxiety) among HIV‐affected adults, and mental health outcomes (PTSD and externalizing behavior scores) among HIV‐affected children. Differentiated patterns of relationships were found using the two different stigma measures. These findings of unique relationships identified when utilizing two conceptually distinct stigma measures, at two levels of analysis (individual and community) suggest that HAR stigma in this context should be conceptualized as a multilevel, multidimensional construct. These findings have important implications both for mental health interventions and for interventions to reduce HAR stigma in this context.     

To hangover or not: trajectories of job satisfaction in adolescent workforce newcomers

The development of job satisfaction during the first months on the job often indicates a honeymoon hangover, with high levels of job satisfaction gradually declining. This effect is often explained by disappointed expectations that are informed by previous job experiences. However, research has not established whether a hangover pattern could also be observed in individuals without previous work experience. We explored the development of job satisfaction with 4 assessment points across the first 4 months after starting vocational training among 357 Swiss adolescents. On average, a hangover pattern in job satisfaction was confirmed. Using person-centred growth mixture modelling, we identified two groups with distinct trajectories. Although a majority showed a hangover pattern, a third of participants showed stable, high job satisfaction. We presumed that adolescents with more contextual and personal resources (i.e., perceived social support, occupational self-efficacy, core self-evaluations, and perceived person–job fit) would be more likely to avoid a hangover pattern. Results confirmed that the two groups differed significantly in all these resources, with the high stable satisfaction group showing higher resources. The results illustrate the importance of a diverse set of resources to facilitate a positive trajectory of job satisfaction at the beginning of work life.     

Religious coping,general coping strategies,perceived social support,PTSD symptoms,resilience, and posttraumatic growth among survivors of the 2010 earthquake in Haiti

This study examines the relationships between coping strategies, perceived social support, resilience, PTSD symptoms, and posttraumatic growth (PTG) in a sample of 256 survivors of the 2010 Haiti earthquake. The results of the bivariate analysis suggested a significant positive correlation between PTG and resilience, PTSD symptoms, perceived social support, positive religious coping, and active coping. There was a significant positive relationship between perceived social support and resilience and between resilience and active coping. PTSD symptoms were positively correlated with both positive and negative religious coping. Results of the multiple regression analysis indicated that positive religious coping, active coping, perceived social support, resilience, and PTSD symptoms accounted for 34% of the variance in the participants’ PTG. The strongest predictor of PTG was positive religious coping, followed by active coping, perceived social support, resilience, PTSD symptoms, and negative religious coping. Implications and recommendations for future research were discussed.     

Law,discipline and governance based on cognitive process simulation – analysis of legal forms in the modern rights relationship

People are becoming more and more humanized in the process of understanding the law. According to the right to discipline, the law has its own core setting factors, while some limits can't reach people's desire. Therefore, the legal and illegal mode of transcending rights is very important. In order to analyze the legal form of modern rights, in this paper, the cognitive learning and memory process of human brain were simulated through the artificial neural network and the understanding of human brain structure, and the role of law, discipline and governance was reflected. In the study, the structure and algorithm of the model neural network were optimized, the memory forgetting curve mechanism that can simulate the human brain was introduced, and thus the network recognition rate was improved. And in the algorithm, the calculation of matching degree was avoided, and the computational complexity was reduced to the sample. Then the sample was compared with the SOM, ART1, and PNN algorithms. The experimental simulation results show that the recognition speed of this sample is 1.9 times faster than that of ART1, 58 times than that of SOM, and 1.5 times than that of the PNN network.     

团队领导组织公民行为的有效性：以双维认同为中介的多层次模型检验

本研究旨在考察团队领导组织公民行为对团队员工角色内绩效的影响及其以团队员工的共享团队认同和领导认同为中介的作用机制。采用团队领导—团队员工匹配问卷的调查方法,使用29个团队的样本数据对相应的多层次模型进行检验。结果显示：团队领导组织公民行为对团队员工角色内绩效有显著的正向影响;团队员工的共享团队认同和领导认同分别和同时在团队领导组织公民行为与团队员工角色内绩效之间起到完全的跨层次中介作用。     

Working alliance as a predictor of change in depression during blended cognitive behaviour therapy

Blended Cognitive Behaviour Therapy (bCBT) is a new form of treatment, mixing internet-based modules and face-to-face therapist sessions. How participants rate the therapeutic alliance in bCBT has not yet been thoroughly explored, and neither is it clear whether therapist- and patient-rated alliances are predictors of change in depression during treatment. Depression and alliance ratings from 73 participants in a treatment study on bCBT (part of the E-COMPARED project) were analysed using growth curve models. Alliance, as rated by both patients and therapists, was high. The therapist-rated working alliance was predictive of subsequent changes in depression scores during treatment, whereas the patient-rated alliance was not. A therapeutic alliance can be established in bCBT. The role of the therapist-rated alliance seems to be of particular importance and should be carefully considered when collecting data in future studies on bCBT.