Bifulco, Antonia (2020). Computerised life assessment record: measuring stressful life events, 2015-2016. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-852774
Stress is a major contributor to illness. It has both objective properties (adverse life events and difficulties) and subjective responses (physical or emotional illness). Objective stressors include unemployment, housing or finance events, as well as inter-personal events for example in partner or parenting roles. Personal context is key to understanding the harmful impacts on health. These latter are psychological (eg depression), or physical (eg cardiovascular disease). A new approach, Computerised Life Assessment Record (CLEAR), using latest online digital technology has been designed to mimic the existing ‘gold standard’ Life Events and Difficulties Schedule to enable a more cost effective measurement approach.
CLEAR has been tested and delivered online using latest web-based data capture technology. Reliability and validity of the CLEAR instrument have been determined and its association with health outcomes in an existing Depression and Case Control sample (DeCC n=250), and new first year undergraduate students (n=125) established. Analysis confirms the comparability of 30 online CLEAR versus LEDS interviews, has tested CLEAR response stability over time and tested stressful events in relation to depression, physical illness and student academic performance. An International Scientific Advisory Board has been offered use of the tool in existing longitudinal health research studies and practice.
Data description (abstract)
This data collection results from the Computerised Life Assessment Record (CLEAR) project that aimed to develop an online measure of life stress that captures objective features of life events across a wide range of classifications, recorded by date and sequence over a 12 month period. This was validated against the face-to-face interview the Life Events and Difficulties Schedule (LEDS).
The data files comprise the derived variables relating to severe life events and long term problems (LTPs) for 325 participants comprising three sampled groups based on an existing national midlife sample, the Depression and Case Control (DeCC): (1) DeCC clinical, (2) DeCC control and (3) students. The target DeCC group were those with clinically assessed recurrent episodes of major depression when last studied 10 years earlier. The control was a matched no-depression control group. Students were mostly first year Psychology undergraduates.
Three categories of date files exist: Main sample analysis data, Reliability data and Validity data. The main sample analysis comprises the life change and psychological characteristics for all 325 respondents. The variables included cover demographic characteristics, summed life events ratings, long term problem ratings, depression, wellbeing, insecurity, anxious and avoidant categories and health characteristics.
Reliability data includes data from a subset of 60 individuals from each group that completed the CLEAR on two occasions, four weeks apart. THis aimed to test whether CLEAR was reliable in terms of test-retest one month apart. This is arranged in three files: demographics, life events and long term problems.
Validity data comprises data from 30 respondents from their LEDS interview and CLEAR. The data is matched on the basis of the event descriptor.
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Sponsors: | Economic and Social Research Council | ||||||
Grant reference: | ES/K00638X/1 | ||||||
Topic classification: | Psychology | ||||||
Keywords: | life events, depression, education, ill health, ASSESSMENT, STRESS (PSYCHOLOGICAL) | ||||||
Project title: | Stress online: Developing a reliable and valid interactive online method for measuring stressful life events and difficulties. | ||||||
Alternative title: | CLEAR online stress data | ||||||
Grant holders: | Antonia Bifulco, Helen Fisher, Georgina Mayling Hosang, Mathew Taylor, Anne Farmer | ||||||
Project dates: |
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Date published: | 14 May 2020 07:30 | ||||||
Last modified: | 14 May 2020 07:30 | ||||||
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Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |