School of Forensic Sciences, Center for Health Sciences, Oklahoma State University, Tulsa, OK, United States.
Department of Psychiatry and Behavioral Sciences, Center for Health Sciences, Oklahoma State University, Tulsa, OK, United States.
JMIR Public Health Surveill. 2023 Aug 22;9:e45891. doi: 10.2196/45891.
Developmental trauma depending on several factors may lead to later adult health risks and is an increasing public health concern, especially in states with predominantly rural populations. Oklahoma remains one of the states in America with the highest count of adverse childhood experiences (ACEs); therefore, more refined research methods for quantifying ACEs are vital for ensuring proper statewide interventions.
While data sets already exist at the state level measuring specific ACEs like divorce or child abuse, the state currently lacks a single source for specific ACEs that can incorporate regions to allow for the identification of counties where ACEs are especially high. This county identification will allow for assessing trends in adversity prevalence over time to indicate where targeted interventions should be done and which counties experience amplified long-term consequences of high ACE rates. Thus, the model for the Oklahoma Adversity Surveillance Index System (OASIS) was born-a public health tool to map ACEs at the county level and grade them by severity over time.
County-level data for 6 ACEs (mental illness, divorce, neglect, child abuse, domestic violence, and substance use) were collected from the Oklahoma Department of Human Services, Oklahoma State Department of Health, and Oklahoma Community Mental Health Centers for the years 2010 to 2018. First, a potential ACEs score (PAS) was created by standardizing and summing county rates for each ACE. To examine the temporal change in the PAS, a bivariate regression analysis was conducted. Additionally, an ACEs severity index (ASI) was created as a standardized measure of ACE severity across time. This included scoring counties based on severity for each ACE individually and summing the scores to generate an overall ASI for each county, capturing the severity of all ACEs included in the analysis.
Mental illness and substance use showed the highest rates at the state level. Results from the regression were significant (F=5.269; P=.02), showing that county PAS showed an increase over years. The ASI scores ranged from 0 to 6, and 4 Oklahoma counties (Adair, McCurtain, Muskogee, and Pittsburg) received a score of 6.
OASIS involves the identification of counties where ACEs are most prevalent, allowing for the prioritization of interventions in these "hot spot" counties. In addition, regression analysis showed that ACEs increased in Oklahoma from 2010 to 2018. Future efforts should center on adding additional ACEs to the ASI and correlating adverse outcome rates (such as violence and medical disorder prevalence) at the county level with high ASI scores.
发展性创伤可能受多种因素影响,会导致成年后健康风险增加,这也是日益受到关注的公共卫生问题,尤其在农村人口为主的州更是如此。俄克拉荷马州仍然是全美经历过不良童年经历(ACEs)人数最多的州之一;因此,对于量化 ACEs 的更精细的研究方法至关重要,这将确保全州范围内采取适当的干预措施。
虽然州一级已经存在衡量离婚或儿童虐待等特定 ACEs 的数据集,但该州目前缺乏一个可纳入各地区的特定 ACEs 的单一来源,以便确定 ACEs 特别高的县。这种县一级的识别将能够评估逆境流行率随时间的变化趋势,以确定应在哪里进行有针对性的干预,以及哪些县经历了 ACE 率高的长期放大后果。因此,诞生了俄克拉荷马州逆境监测指数系统(OASIS)模型——一种用于在县一级绘制 ACEs 并随时间按严重程度分级的公共卫生工具。
从俄克拉荷马州人类服务部、俄克拉荷马州卫生部和俄克拉荷马州社区心理健康中心收集了 2010 年至 2018 年期间 6 项 ACEs(精神疾病、离婚、忽视、儿童虐待、家庭暴力和物质使用)的县一级数据。首先,通过对每个 ACE 的县一级比率进行标准化和求和,创建一个潜在 ACEs 评分(PAS)。为了检验 PAS 的时间变化,进行了二元回归分析。此外,创建了 ACEs 严重程度指数(ASI),作为 ACEs 严重程度的标准化衡量标准。这包括根据每个 ACE 的严重程度对各县进行评分,并对每个县的分数求和,生成每个县的总体 ASI,从而捕捉分析中包含的所有 ACEs 的严重程度。
精神疾病和物质使用在州一级的比率最高。回归结果具有统计学意义(F=5.269;P=.02),表明县一级 PAS 随时间呈上升趋势。ASI 评分范围从 0 到 6,俄克拉荷马州的 4 个县(阿代尔、麦柯廷、马斯科吉和皮斯加)得分为 6。
OASIS 涉及识别 ACEs 最普遍的县,以便在这些“热点”县优先进行干预。此外,回归分析显示,2010 年至 2018 年期间,俄克拉荷马州的 ACEs 有所增加。未来的工作应集中在将更多 ACEs 添加到 ASI 中,并将县一级的不良后果(如暴力和医疗疾病流行率)与高 ASI 评分相关联。