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农村地区中国儿童和青少年不良童年经历的潜在类别分析及其与抑郁和自杀意念的关联。

The Latent Class Analysis of Adverse Childhood Experiences among Chinese Children and Early Adolescents in Rural Areas and Their Association with Depression and Suicidal Ideation.

机构信息

School of Humanities and Social Sciences, Chinese University of Hong Kong-Shenzhen, Shenzhen 518172, China.

Department of Education Policy Studies, Pennsylvania State University, State College, PA 16801, USA.

出版信息

Int J Environ Res Public Health. 2022 Nov 30;19(23):16031. doi: 10.3390/ijerph192316031.

Abstract

Exposure to adverse childhood experiences (ACEs) is a global public health concern that is detrimental to the psychological outcomes of Chinese children in rural areas due to the lack of public awareness of ACEs and mental health resources. The objective of this study was to identify the patterns of ACEs and the impact of ACE patterns on depression and suicidal ideation among 4683 students (mean age = 10.08 years, SD = 0.99; 48.17% female students) from 63 elementary schools in rural areas in Guizhou Province, China. Latent class analysis was conducted to identify the best class pattern. A three-step approach was undertaken to explore the association between the class patterns and demographic covariates and depression and suicidal thoughts. An overall three-class pattern of ACEs was identified, which was: (1) high ACEs, (2) high verbal abuse and emotional neglect and low household dysfunction, and (3) low ACEs. The results also showed that children in the high ACEs class tended to show higher depression rates and more frequent suicidal ideation across the three groups. Being female and younger and having a lower socioeconomic status were risk factors. Our study identified a class pattern that was not found in previous research, which is high verbal abuse and emotional neglect and low household dysfunction.

摘要

遭受不良的儿童期经历(ACEs)是一个全球性的公共卫生关注点,由于缺乏对 ACEs 和心理健康资源的公众认识,农村地区的中国儿童的心理健康结果受到影响。本研究的目的是确定 ACEs 的模式,以及 ACE 模式对贵州省 63 所农村小学的 4683 名学生(平均年龄=10.08 岁,标准差=0.99;48.17%为女生)的抑郁和自杀意念的影响。采用潜在类别分析来确定最佳类别模式。采用三步法探讨类别模式与人口统计学协变量和抑郁及自杀意念之间的关联。确定了 ACEs 的总体三类别模式,即:(1)高 ACEs,(2)高言语虐待和情感忽视以及低家庭功能障碍,和(3)低 ACEs。研究结果还表明,高 ACEs 组的儿童在三组中抑郁发生率更高,自杀意念更频繁。女性、年龄较小和社会经济地位较低是风险因素。我们的研究确定了一个以前研究中没有发现的类别模式,即高言语虐待和情感忽视以及低家庭功能障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68a/9738574/972e17a5b8d4/ijerph-19-16031-g001.jpg

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