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扩展不良儿童经历至不平等和种族歧视。

Expanding adverse child experiences to inequality and racial discrimination.

机构信息

College of Public Health and Social Justice, School of Social Work, St. Louis University, St. Louis, MO, United States of America.

USC Center for Artificial Intelligence in Society, United States of America; USC Center for Mindfulness Science, United States of America; USC Institute for Addiction Science, United States of America; Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, United States of America.

出版信息

Prev Med. 2022 Apr;157:107016. doi: 10.1016/j.ypmed.2022.107016. Epub 2022 Mar 15.

DOI:10.1016/j.ypmed.2022.107016
PMID:35301044
Abstract

There is a well-established correlation between health and adverse childhood experiences (ACEs). Arguments have been made to expand ACE scales to include indicators of racism and structural inequalities. In this paper, we use nationally representative data to examine the relationships between latent groups of an expanded adversity scale and a broad range of child health outcomes. Data were obtained from a merger of the 2017 and 2018 National Survey of Children's Health (NSCH) and analyzed in 2021 (n = 52,129). Adversities were defined as violent victimization, violence exposure, a range of parental problems, racial discrimination, food insecurity, and unkempt housing. Latent class analysis (LCA) was used to uncover emergent groups of adversities, and logistic regression was used to assess group relationship to global and diagnosed measures of health. Four groups emerged: high all (3.6%), material and food hardship (11.9%), parental problems (10.3%), and low all (74.2%). Results showed the high all groups at greater odds of almost all outcomes. Compared to low all group, high all had particularly higher odds of any special (OR = 2.29) or complex (OR = 2.53) healthcare need, frequent severe headaches (OR = 2.07), and depression (OR = 3.4) or anxiety (OR = 2.11). Our analysis noted separation of experiences based on additional items related to structural inequalities: food insecurity, poverty, and unkempt housing. However, augmenting existing ACE scales with these indicators may be unnecessary as children most at-risk for poor health were a very small group (1 in 28) that experienced multiple forms of violence and parental problems.

摘要

健康与不良童年经历(ACE)之间存在着明确的相关性。有人提出扩大 ACE 量表,纳入种族主义和结构性不平等的指标。在本文中,我们使用具有全国代表性的数据,研究了扩大的逆境量表的潜在群体与广泛的儿童健康结果之间的关系。数据来自 2017 年和 2018 年全国儿童健康调查(NSCH)的合并,并于 2021 年进行了分析(n=52129)。逆境被定义为暴力受害、暴力暴露、一系列父母问题、种族歧视、粮食不安全和不整洁的住房。潜在类别分析(LCA)用于发现逆境的新兴群体,逻辑回归用于评估群体与全球和诊断性健康测量的关系。结果发现,有四个群体:高所有(3.6%)、物质和粮食困难(11.9%)、父母问题(10.3%)和低所有(74.2%)。结果表明,高所有组的几乎所有结果的可能性都更高。与低所有组相比,高所有组的任何特殊(OR=2.29)或复杂(OR=2.53)医疗需求、频繁严重头痛(OR=2.07)、抑郁(OR=3.4)或焦虑(OR=2.11)的可能性更高。我们的分析注意到,基于与结构性不平等有关的额外项目,经历了分离:粮食不安全、贫困和不整洁的住房。然而,用这些指标来扩充现有的 ACE 量表可能是不必要的,因为最容易出现健康状况不佳的儿童是一个非常小的群体(1/28),他们经历了多种形式的暴力和父母问题。

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