Latent Profile Analysis of Self-Stigma Among Individuals With Schizophrenia and Its Relationship With Illness Perception

精神疾病 柱头(植物学) 社会心理的 临床心理学 心理学 心理干预 精神科 感知 精神分裂症(面向对象编程) 心理健康 神经科学
作者
Miao Lu,Jianhua Li,Qiufeng Wu,Ying Zhang,Huimin Sun
出处
期刊:Journal of Psychosocial Nursing and Mental Health Services [Slack Incorporated (United States)]
卷期号:62 (12): 27-36
标识
DOI:10.3928/02793695-20240813-03
摘要

Purpose To investigate self-stigma among individuals with schizophrenia, identify potential categories of self-stigma, and analyze the association between self-stigma categories and dimensions of disease perception. Method Convenience sampling was used to select individuals with schizophrenia ( N = 216) in psychiatric hospitals. A General Demographic Information Questionnaire, the Internalized Stigma of Mental Illness Inventory, and Brief Illness Perception Questionnaire were used for data collection. A latent profile analysis was performed on self-stigma characteristics of participants, and potential categories of influencing factors and their relationship with illness perception were examined. Results Participants were classified into three potential categories: low self-stigma–low resistance (19.4%), medium self-stigma (55.6%), and high self-stigma–high discrimination (25%). Compared with the low self-stigma–low resistance group, those with higher illness representation and illness understanding scores were more likely to be classified as medium self-stigma, and emotional representation was the strongest predictor for high self-stigma–high discrimination. Conclusion Self-stigma among participants was mostly medium to high. Self-stigma of individuals with schizophrenia demonstrates group heterogeneity; therefore, nurses should formulate targeted interventions based on the characteristics of each category to achieve precise interventions and reduce self-stigma. [ Journal of Psychosocial Nursing and Mental Health Services, 62 (12), 27–36.]
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
明亮依波完成签到,获得积分10
1秒前
randylch完成签到,获得积分0
1秒前
Tan完成签到,获得积分10
1秒前
跳跃靖发布了新的文献求助10
2秒前
美满的雁桃完成签到 ,获得积分10
2秒前
2秒前
asd完成签到,获得积分10
2秒前
凶狠的璎完成签到,获得积分10
3秒前
4秒前
宁静完成签到,获得积分10
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
甜甜的以筠完成签到 ,获得积分10
4秒前
tym完成签到,获得积分10
4秒前
FashionBoy应助ljj722采纳,获得10
5秒前
依依完成签到 ,获得积分10
5秒前
机灵赛凤发布了新的文献求助10
6秒前
kk关闭了kk文献求助
6秒前
梨懵懵完成签到,获得积分10
7秒前
微笑的友梅完成签到,获得积分20
7秒前
请勿继续完成签到,获得积分10
8秒前
跳跃靖完成签到,获得积分20
8秒前
liao应助Tan采纳,获得10
8秒前
gyh应助fangmuyi采纳,获得20
9秒前
9秒前
9秒前
10秒前
10秒前
10秒前
10秒前
10秒前
10秒前
10秒前
10秒前
袁大头发布了新的文献求助10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6051497
求助须知:如何正确求助?哪些是违规求助? 7861178
关于积分的说明 16268314
捐赠科研通 5196551
什么是DOI,文献DOI怎么找? 2780704
邀请新用户注册赠送积分活动 1763614
关于科研通互助平台的介绍 1645677