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潜在剖面分析在自杀或自伤研究中的应用进展

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潜在剖面分析(LPA)对识别群体异质性具有重要作用,其方法学特点为以个体为中心、对变量类型不作要求、不受类别数量的限制.文章对LPA在自杀或自伤研究中的应用进行分析,发现自杀或自伤的影响因素包括个体因素(心理状态、精神疾病)、环境因素(网络环境因素、社会文化因素)及个体与环境因素的共同影响;自杀或自伤的特征包括自杀意念情况、自杀未遂情况、自伤频率及行为等.LPA可为自杀或自伤人群的分类和个性化干预提供有效的工具,但对个体的风险评估目前尚存困难.
Latent Profile Analysis in Suicide or Self-injury:a Review
Latent profile analysis(LPA)plays an important role in identifying group heterogeneity and is characterized by its methodological features of being individual-centered,having no requirement for the type of variable,and being unrestricted by the number of categories.This paper reviews the application of LPA in the study of suicide or self-injury,and finds that the influencing factors of suicide or self-injury include individual factors(psychological state,mental illness),environmental factors(online environmental factors,sociocultural factors),and the joint influences of individual and environmental factors;suicide or self-injury is characteristic of suicidal ideation,suicide attempt,self-injurious frequency and behaviors.LPA can be an effective tool for classifying and providing personalized interventions for suicidal or self-injurious populations,but it is currently difficult to assess the risk of individuals.

latent profile analysissuicideself-injuryinfluencing factorsclassification

段文静、谢煜相、羊姝、胡达振、王璐、黄鹏

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南昌大学公共卫生学院循证医学中心

疾病预防与公共卫生江西省重点实验室,南昌 330006

潜在剖面分析 自杀 自伤 影响因素 分类

江西省研究生创新基金项目

YC2023-s177

2024

实用临床医学
南昌大学

实用临床医学

影响因子:0.818
ISSN:1009-8194
年,卷(期):2024.25(5)
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