Reciprocal Relationships between Trajectories of Depressive Symptoms and Screen Media Use during Adolescence

Adolescents are constantly connected with each other and the digital landscape through a myriad of screen media devices. Unprecedented access to the wider world and hence a variety of activities, particularly since the introduction of mobile technology, has given rise to questions regarding the impact of this changing media environment on the mental health of young people. Depressive symptoms are one of the most common disabling health issues in adolescence and although research has examined associations between screen use and symptoms of depression, longitudinal investigations are rare and fewer still consider trajectories of change in symptoms. Given the plethora of devices and normalisation of their use, understanding potential longitudinal associations with mental health is crucial. A sample of 1,749 (47% female) adolescents (10–17 years) participated in six waves of data collection over two years. Symptoms of depression, time spent on screens, and on separate screen activities (social networking, gaming, web browsing, TV/passive) were self-reported. Latent growth curve modelling revealed three trajectories of depressive symptoms (low-stable, high-decreasing, and low-increasing) and there were important differences across these groups on screen use. Some small, positive associations were evident between depressive symptoms and later screen use, and between screen use and later depressive symptoms. However, a Random Intercept Cross Lagged Panel Model revealed no consistent support for a longitudinal association. The study highlights the importance of considering differential trajectories of depressive symptoms and specific forms of screen activity to understand these relationships.     

Comparing Public and Private Managers' Leadership Styles: Understanding the Role of Job Context

ABSTRACT

Comparing public and private managers is a major subject in the public management literature, but there have been only a few empirical studies of the differences in their respective leadership styles. Traditionally, leadership style is explained by the characteristics of the manager, the employees, and their job. This study explains leadership by the manager's job context: the degree of job complexity, role clarity, and job autonomy. We argue that differences in job context explain the use of different leadership styles in the public and private sector. To clearly specify the importance of sector, the study investigates direct, mediating, and moderating effects. Based on a survey of Danish public and private managers with 949 respondents, this article shows that job context variables vary significantly between public and private sector managers. The article provides some explanations for why public managers use more participative leadership, while private ones use more directive leadership.