A Systematic Review of Momentary Social Predictors of Positive Psychosis Experiences

Author:

Irwin Leanne1,Udachina Alisa2,Bell Tobyn1,Carter Lesley‐Anne3,Handerer Fritz4,Berry Katherine14ORCID

Affiliation:

1. Division of Psychology and Mental Health, School of Health Sciences University of Manchester Manchester UK

2. Mersey care NHS Foundation Trust Prescot UK

3. Centre for Biostatistics University of Manchester Manchester UK

4. Greater Manchester Mental Health NHS Foundation Trust Manchester UK

Abstract

ABSTRACTBackgroundSocial factors can play an important role in the development and maintenance of psychosis. Clarifying this relationship is vital for advancing theoretical understanding and development of targeted interventions. Psychosis is increasingly researched with an experience sampling methodology (ESM), which provides an ecologically valid approach, that reduces recall biases. Studies examining momentary associations between social factors and psychosis have not yet been summarised.MethodWe identified 29 ESM studies investigating associations between social factors and positive psychotic experiences through a pre‐registered systematic search of the published literature.ResultsBeing alone did not predict increase in psychosis; however, appraisals and feelings associated with being alone such as feeling socially disconnected, lonely and unwanted did. Being with familiar company was found to reduce psychosis experiences but feeling stressed by the current company increased psychosis.ConclusionsWhile issues with sample size and generalisability mean these results should be interpreted with caution, some putative conclusions can be made. Individuals with psychosis or emerging symptoms should be offered interventions that improve social networks such as peer support, community participation and engagement skills training. These individuals may also benefit from virtual reality or compassion‐based interventions which aim to dampen perceived social threat. Moreover, digital interventions which monitor changes in social variables that predict relapse in symptoms would allow early intervention to prevent mental health crises.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3