Personal Recovery With Bipolar Disorder: A Network Analysis

IF 3.2 3区心理学 Q1 PSYCHOLOGY, CLINICAL Clinical psychology & psychotherapy Pub Date : 2024-10-23 DOI:10.1002/cpp.70001

Zoe Glossop, Catriona Campbell, Anastasia Ushakova, Alyson Dodd, Steven Jones

{"title":"Personal Recovery With Bipolar Disorder: A Network Analysis","authors":"Zoe Glossop, Catriona Campbell, Anastasia Ushakova, Alyson Dodd, Steven Jones","doi":"10.1002/cpp.70001","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Personal recovery is valued by people with bipolar disorder (BD), yet its conceptualisation is unclear. Prior work conceptualising personal recovery has focussed on qualitative evidence or clinical factors without considering broader psychosocial factors. This study used a network analysis of Bipolar Recovery Questionnaire (BRQ) responses, aiming to identify (1) independent relationships between items to identify those most “central” to personal recovery and (2) how the relationships between items reflect themes of personal recovery.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The model was developed from BRQ responses (36 items) from 394 people diagnosed with bipolar disorder. The undirected network was based on a partial correlation matrix and was weighted. Strength scores were calculated for each node. Community detection analysis identified potential themes. The accuracy of the network was assessed using bootstrapping.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Two consistent communities were identified: “Access to meaningful activity” and “Learning from experiences.” “I feel confident enough to get involved in things in life that interest me” was the strongest item, although the strength stability coefficient (0.36) suggested strength should be interpreted with caution. The average edge weight was 0.02; however, stronger edges were identified.</p>\n </section>\n \n <section>\n \n <h3> Limitations</h3>\n \n <p>The network showed low stability, possibly due to sample heterogeneity. Future work could incorporate demographic variables, such as time since BD diagnosis or stage of personal recovery, into network estimation.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Network analysis can be applied to personal recovery, not only clinical symptoms of BD. Clinical applications could include tailoring recovery-focussed therapies towards encouraging important aspects of recovery, such as feeling confident to get involved with life.</p>\n </section>\n </div>","PeriodicalId":10460,"journal":{"name":"Clinical psychology & psychotherapy","volume":"31 5","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpp.70001","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical psychology & psychotherapy","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpp.70001","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Personal recovery is valued by people with bipolar disorder (BD), yet its conceptualisation is unclear. Prior work conceptualising personal recovery has focussed on qualitative evidence or clinical factors without considering broader psychosocial factors. This study used a network analysis of Bipolar Recovery Questionnaire (BRQ) responses, aiming to identify (1) independent relationships between items to identify those most “central” to personal recovery and (2) how the relationships between items reflect themes of personal recovery.

Methods

The model was developed from BRQ responses (36 items) from 394 people diagnosed with bipolar disorder. The undirected network was based on a partial correlation matrix and was weighted. Strength scores were calculated for each node. Community detection analysis identified potential themes. The accuracy of the network was assessed using bootstrapping.

Results

Two consistent communities were identified: “Access to meaningful activity” and “Learning from experiences.” “I feel confident enough to get involved in things in life that interest me” was the strongest item, although the strength stability coefficient (0.36) suggested strength should be interpreted with caution. The average edge weight was 0.02; however, stronger edges were identified.

Limitations

The network showed low stability, possibly due to sample heterogeneity. Future work could incorporate demographic variables, such as time since BD diagnosis or stage of personal recovery, into network estimation.

Conclusions

Network analysis can be applied to personal recovery, not only clinical symptoms of BD. Clinical applications could include tailoring recovery-focussed therapies towards encouraging important aspects of recovery, such as feeling confident to get involved with life.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

躁郁症患者的个人康复：网络分析

背景：双相情感障碍（BD）患者重视个人康复，但其概念尚不明确。之前关于个人康复概念的研究主要集中在定性证据或临床因素上，而没有考虑更广泛的社会心理因素。本研究对躁狂症患者康复问卷（Bipolar Recovery Questionnaire，BRQ）的回答进行了网络分析，旨在确定：（1）项目之间的独立关系，以确定那些对个人康复最为 "核心 "的项目；（2）项目之间的关系如何反映个人康复的主题：该模型是根据 394 名躁狂症患者的 BRQ 问卷（36 个项目）建立的。无向网络以部分相关矩阵为基础，并进行了加权处理。每个节点都计算了强度分数。社区检测分析确定了潜在的主题。使用引导法评估了网络的准确性：结果：确定了两个一致的群体："参与有意义的活动 "和 "从经验中学习"。"我有足够的信心参与生活中我感兴趣的事情 "是最强的项目，尽管强度稳定系数（0.36）表明应谨慎解释强度。边缘的平均权重为 0.02，但也发现了更强的边缘：局限性：该网络显示出较低的稳定性，这可能是由于样本的异质性造成的。未来的工作可以将人口统计学变量（如确诊 BD 后的时间或个人康复阶段）纳入网络估算：结论：网络分析不仅适用于 BD 的临床症状，也适用于个人康复。临床应用可包括量身定制以康复为重点的疗法，以鼓励康复的重要方面，如充满信心地投入生活。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Clinical psychology & psychotherapy PSYCHOLOGY, CLINICAL-

CiteScore

6.30

自引率

5.60%

发文量

106

期刊介绍： Clinical Psychology & Psychotherapy aims to keep clinical psychologists and psychotherapists up to date with new developments in their fields. The Journal will provide an integrative impetus both between theory and practice and between different orientations within clinical psychology and psychotherapy. Clinical Psychology & Psychotherapy will be a forum in which practitioners can present their wealth of expertise and innovations in order to make these available to a wider audience. Equally, the Journal will contain reports from researchers who want to address a larger clinical audience with clinically relevant issues and clinically valid research.