Older Drivers Retiring From the Road: An Application of the Selection,Optimization, and Compensation Model

Purpose: This study uses the selection, optimization, and compensation (SOC) model to compare older adults who have given up driving, those who still drive, and those who drive less to identify differences in the three groups. Design and Methods: This cross-sectional study of 281 older adults is part of the Naturally Occurring Retirement Community Demonstration Project. Study participants completed interviews that included questions on demographics, health and functioning, mental health, social support, and current levels of engagement in activities including current driving status. Results: Data suggest that driving retirement is a process and that a substantial number of people are in the transitional stage, where they are less functional than those who still drive and more similar to those who have retired from the road. Implications: Given the similarity of those who drive less to those who have given up driving, front-line professionals and policy makers must work together to ease the transition to driving retirement for those without adequate ability to effectively compensate for their inability to continue to drive safely.     

From Provocation and Combustibility Toward Mutuality: Once More with Less Rage,Please

This paper presents a summary and excerpts taken from the psychoanalytic treatment, spanning over 16 years, of a highly disturbed and provocative male patient. Prior to referral, the man had been unsuccessfully treated psychopharmacologically for a depressive illness with severe somatic and affective symptoms and behavioral disturbances. A highlight of the case is the emergence of a therapeutic impasse that developed around the patient's attempt to connect intensely with the analyst; the patient attempted to repair his own damaged phallic narcissism by demanding that the analyst participate in a ritualized sexual enactment, which threatened the destruction of the treatment process. The resolution of the impasse was accomplished through the analyst's reaffirming the frame and recovering his own disrupted composure and ref lectiveness, while maintaining a compassionate and caring attitude toward the patient.     

Gesundheitsförderliches Führungsverhalten bei un- und angelernten, kulturell diversen Belegschaften

One of the most important factors affecting inequitable health opportunities is the work activity. The respective supervisor exerts influence on the subordinates’ health and well-being. This study investigates health-promoting leadership behavior among low-skilled, culturally diverse workforces through interviews with employees and managers of the lowest hierarchical level (N?=?53). Information and approachability as well as appreciative feedback and showing interest of the supervisor are identified as relevant target group specific leadership behavior. Health-promoting effects of work design, learning opportunities as well as strain the supervisors themselves suffer from were also examined.     

Entwickeln im Team – Effekte für den Einzelnen

This study tested the effects of a 2-day team building intervention on team members’ team identification, social support and collective self-efficacy. Members (n?=?32) of three teams from different sectors completed questionnaires before, directly after and six weeks after the team building intervention. Two teams served as control groups. Results showed lasting positive effects of team building on identification, support and collective self-efficacy in the training groups but no changes in the control groups.     

Shared frailty model based on reversed hazard rate for left censored data

Frailty models are used in the survival analysis to account for the unobserved heterogeneity in the individual risks to disease and death. To analyze the bivariate data on related survival times (e.g., matched pairs experiments, twin or family data), the shared frailty models were suggested. In this article, we introduce the shared gamma frailty models with the reversed hazard rate. We develop the Bayesian estimation procedure using the Markov chain Monte Carlo (MCMC) technique to estimate the parameters involved in the model. We present a simulation study to compare the true values of the parameters with the estimated values. We apply the model to a real life bivariate survival dataset.