The moderation effect of secure attachment on the relationship between positive events and wellbeing.

Positive events can reduce depression as well as enhance wellbeing. The role of secure attachment style in moderating the relationship between positive events and wellbeing is examined to further understand wellbeing models. Participants (n = 490) included two midlife groups and a student group from the UK.

Life events, depression and supportive relationships affect academic achievement in university students.

Students often simultaneously deal with shifting support networks, stressful life changes and psychological distress which may affect academic achievement. 285 students completed the General Health Questionnaire (GHQ-12) to assess depression and the Computerized Life Events Assessment Record (CLEAR), to establish life events and supportive relationships. Module grades were used to measure academic achievement.

Characteristics of severe life events, attachment style, and depression - Using a new online approach.

Objectives: Severe life events are established as provoking agents for depression in combination with vulnerability factors. Identifying features of severe events improves the prediction of disorder but are rarely utilized, mainly because life event research is increasingly dominated by self-report checklists with no capacity for inferring such characteristics. This paper investigates the association of severe life events' features with depression and insecure attachment styles using a new online measure of life events in a clinical and control sample.

Web-Based Measure of Life Events Using Computerized Life Events and Assessment Record (CLEAR): Preliminary Cross-Sectional Study of Reliability, Validity, and Association With Depression.

Background: Given the criticisms of life event checklists and the costs associated with interviews, life event research requires a sophisticated but easy-to-use measure for research and clinical practice. Therefore, the Computerized Life Events and Assessment Record (CLEAR), based on the Life Events and Difficulties Schedule (LEDS), was developed.

Objective: The objective of our study was to test CLEAR's reliability, validity, and association with depression.

Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach.

Background: Severe life events are acknowledged as important etiological factors in the development of clinical disorders, including major depression. Interview methods capable of assessing context and meaning of events have demonstrated superior validity compared with checklist questionnaire methods and arguments for interview approaches have resurfaced because choosing the appropriate assessment tool provides clarity of information about gene-environment interactions in depression. Such approaches also have greater potential for understanding and treating clinical cases or for use in interventions.