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Statistical Conceptualisation of Mood Instability: A Systematic Review
Iona Cairns1, Kim Wright1, Gordon Taylor2
1Department of Psychology, Faculty of Health and Life Sciences, University of Exeter, Washington Singer Labs, Perry Road, Exeter EX4 4QG, UK.
None:
Background/Objectives: Our understanding of mood instability as a clinically important feature of many psychiatric conditions has been increasing over the last decade, but there remains a lack of clarity around the optimal ways to calculate mood instability in real time. We conducted a systematic review in order to describe the statistical methods used in studies investigating mood instability that collected mood data using ESM (Experience Sampling Methodology). Results: From a total of 229 papers, we found 15 discrete statistical methods were used a total of 319 times. In 76 (33%) studies, more than one statistical method was used, and 39 (17%) studies employed distinct statistical methods for particular aspects of affect dynamics. Conclusions: Based on our findings, we recommend standardisation of statistical methods to strengthen future research on mood instability and ultimately support better clinical outcomes for individuals with mood difficulties.
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