Department of Family and Community Medicine, Meharry Medical College, United States; Center for Molecular and Behavioral Neuroscience, Meharry Medical College, United States; Department of Psychology, Vanderbilt University, United States.
Department of Social Psychology, University of Valencia, Spain.
Child Abuse Negl. 2019 Apr;90:127-138. doi: 10.1016/j.chiabu.2019.02.004. Epub 2019 Feb 16.
Rates of substantiated child abuse and neglect vary significantly across counties. Despite strong cross-sectional support for links between social-contextual characteristics and abuse and neglect, few longitudinal studies have tested relations between these risk factors and substantiated rates of abuse/neglect. The goal of this study was to identify county-level socioeconomic and crime factors associated with substantiated abuse/neglect rates over 13 years (2004-2016). Annual county-level data for Tennessee, obtained from the KIDS COUNT Data Center, included rates of substantiated child abuse and neglect, children's race and ethnicity, births to unmarried women, teen birth rate, children in families receiving Supplemental Nutrition Assistance Program (SNAP) benefits, and children in families receiving Temporary Assistance for Needy Families. Annual county-level crime report data, obtained from the Tennessee Incident Based Reporting System, included sexual offenses, non-sexual assaults, stalking incidents, thefts, property damage, and drug-related offenses. Bayesian spatio-temporal models indicated that substantiated child abuse and neglect rates were independently and positively associated with teen birth rates, percentages of births to unmarried mothers, drug-related offenses, and percentages of children receiving SNAP benefits. In contrast, substantiated child abuse and neglect rates were negatively associated with percentages of African-American youth. The findings highlighted distinct demographic, socioeconomic, and crime factors associated with substantiated child abuse and neglect rates and have the potential to enhance identification of high-risk counties that could benefit from targeted abuse and neglect prevention efforts.
各县的儿童虐待和忽视率差异显著。尽管有大量横断面研究支持社会环境特征与虐待和忽视之间的联系,但很少有纵向研究检验这些风险因素与虐待/忽视发生率之间的关系。本研究的目的是确定与 13 年来(2004-2016 年)经证实的虐待/忽视率相关的县一级社会经济和犯罪因素。田纳西州的县一级年度数据来自 KIDS COUNT 数据中心,包括经证实的儿童虐待和忽视率、儿童的种族和族裔、未婚妇女的生育率、青少年生育率、接受补充营养援助计划(SNAP)福利的家庭中的儿童以及接受贫困家庭临时援助的家庭中的儿童。田纳西州基于事件的报告系统获得的县一级年度犯罪报告数据包括性犯罪、非性侵犯、跟踪事件、盗窃、财产损失和与毒品有关的犯罪。贝叶斯时空模型表明,经证实的儿童虐待和忽视率与青少年生育率、未婚母亲生育率、与毒品有关的犯罪以及接受 SNAP 福利的儿童比例呈独立正相关。相比之下,经证实的儿童虐待和忽视率与非裔美国青年的比例呈负相关。这些发现突出了与经证实的儿童虐待和忽视率相关的独特人口统计学、社会经济和犯罪因素,有可能增强对高风险县的识别,这些县可能受益于有针对性的虐待和忽视预防工作。