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
舒心的耷发布了新的文献求助20
1秒前
1秒前
Aeeeeeeon完成签到 ,获得积分10
1秒前
1秒前
思源应助朴实幼荷采纳,获得10
1秒前
李健应助正正采纳,获得10
2秒前
2秒前
扶苏完成签到 ,获得积分10
3秒前
与我常在完成签到,获得积分20
5秒前
华仔应助方方方方方采纳,获得10
5秒前
5秒前
Deathwing关注了科研通微信公众号
6秒前
iphone发布了新的文献求助20
6秒前
6秒前
6秒前
8秒前
酷波er应助盖世小么得采纳,获得10
8秒前
boom完成签到,获得积分10
9秒前
Xavier完成签到 ,获得积分10
9秒前
10秒前
orixero应助lucky采纳,获得10
10秒前
Jane发布了新的文献求助10
11秒前
乐乐发布了新的文献求助10
12秒前
12秒前
汉堡包应助剑履上殿采纳,获得10
12秒前
科研通AI6.1应助51新月采纳,获得10
12秒前
赘婿应助乐观寻双lll采纳,获得10
13秒前
14秒前
跳跃的愫完成签到,获得积分10
14秒前
14秒前
15秒前
岚船发布了新的文献求助10
15秒前
16秒前
16秒前
俊秀的凝阳完成签到,获得积分20
17秒前
LXZ发布了新的文献求助10
17秒前
KINGMach发布了新的文献求助10
17秒前
英姑应助Astro采纳,获得10
18秒前
Zayro发布了新的文献求助10
18秒前
落寞迎梦完成签到 ,获得积分10
18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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Social Work and Social Welfare: An Invitation(7th Edition) 410
Medical Management of Pregnancy Complicated by Diabetes 400
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 6057540
求助须知:如何正确求助?哪些是违规求助? 7890316
关于积分的说明 16294622
捐赠科研通 5202745
什么是DOI,文献DOI怎么找? 2783619
邀请新用户注册赠送积分活动 1766272
关于科研通互助平台的介绍 1646964