Lived Experience at the Core: A Classification System for Risk-Taking Behaviours in Bipolar, 2022

Harvey, Daisy (2024). Lived Experience at the Core: A Classification System for Risk-Taking Behaviours in Bipolar, 2022. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-857253

Individuals living with bipolar disorder are likely to engage in behaviours which can be risky for themselves or others. This includes increased prevalence of suicide and self-harm, excessive spending, alcohol or drug use and risky sexual behaviour. Understanding more about this behaviour is crucial as with the right help people living with bipolar "have the potential to return to normal function with optimal treatment". Current psychological models of bipolar explain risky behaviour as an attempt to avoid low mood, a response to mood elevation or to impulsivity/sensitivity to reward. These approaches have informed the development of psychological interventions to improve coping strategies for mood change. However, the effectiveness of such approaches is mixed and evidence is lacking for improvements in the functional and recovery outcomes which qualitative research has shown are valued. Current research has relied on questionnaire measures of hypothesised processes, which limits what can be learnt about the subjective experiences of people living with bipolar. For instance, they tell us little about how such individuals define risk, why they chose to engage in some such behaviours and how socially normative such behaviour might be. It is clear therefore, that a mixed method approach is needed to understand the processes which underpin risk in bipolar. This should combine in-depth qualitative approaches with methods that explore how people describe their experiences in natural language, not constrained by typical research or clinical settings. This is particularly important for risky behaviour that is likely to have been stigmatised.

Data description (abstract)

Clinical observations suggest that individuals with a diagnosis of bipolar face difficulties regulating emotions and impairments to their cognitive processing, which can contribute to high-risk behaviours. However, there are few studies which explore the types of risk-taking behaviour that manifest in reality and evidence suggests that there is currently not enough support for the management of these behaviours. This study examined the types of risk-taking behaviours described by people who live with bipolar and their access to support for these behaviours. Semi-structured interviews were conducted with n=18 participants with a lived experience of bipolar and n=5 healthcare professionals. The interviews comprised open ended questions and a Likert-item questionnaire. The responses to the interview questions were analysed using content analysis and corpus linguistic methods to develop a classification system of risk-taking behaviours. The Likert-item questionnaire was analysed statistically and insights from the questionnaire were incorporated into the classification system. Our classification system includes 39 reported risk-taking behaviours which we manually inferred into six domains of risk-taking. Corpus linguistic and qualitative analysis of the interview data demonstrate that people need more support for risk-taking behaviours and that aside from suicide, self-harm, and excessive spending, many behaviours are not routinely monitored. This study shows that that people living with bipolar report the need for improved access to psychologically informed care, and that a standardised classification system or risk-taking questionnaire could act as a useful elicitation tool for guiding conversations around risk-taking to ensure that opportunities for intervention are not missed. We have also presented a novel methodological framework which demonstrates the utility of computational linguistic methods for the analysis of health research data.

Data creators:
Creator Name Affiliation ORCID (as URL)
Harvey Daisy Lancaster University
Sponsors: Economic and Social Research Council
Grant reference: ES/P000665/1
Topic classification: Media, communication and language
Psychology
Keywords: LINGUISTIC ANALYSIS, INTERVIEWS (DATA COLLECTION), BEHAVIOURAL DISORDERS, MENTAL DISORDERS
Project title: Understanding how people living with bipolar disorder talk about risk on social media
Grant holders: Daisy Harvey, Steven Jones, Fiona Lobban, Paul Rayson, Jasper Pamier-Claus
Project dates:
FromTo
1 October 202031 December 2024
Date published: 12 Jun 2024 16:23
Last modified: 12 Jun 2024 16:27

Available Files

Data

Documentation

Downloads

data downloads and page views since this item was published

View more statistics

Altmetric

No resources to display

Edit item (login required)

Edit Item Edit Item