{"title":"儿童虐待热点与邻里一级干预措施之间的相关性","authors":"Seonga Cho, Sewon Kim, Bong Joo Lee","doi":"10.1007/s12187-024-10161-2","DOIUrl":null,"url":null,"abstract":"<p>Child maltreatment, which seriously impacts children’s well-being, is influenced by characteristics of neighborhood. Notably, previous studies have neglected the role of neighborhood spatial features in child maltreatment. Hence, we aimed to determine the distribution of child maltreatment occurrence by city, county, and district in South Korea; whether high child maltreatment incidence rates are clustered spatially; and the neighborhood factors that affect child maltreatment incidence. We analyzed 26,354 child maltreatment cases from 225 regions for 2020 using data from the National Child Abuse Database System. Data analysis procedures followed a three-tiered approach: ordinary least squares regression, Jarque–Bera and Breusch–Pagan tests, and geographically weighted regression. We identified concentrated hotspots and found that child maltreatment incidences were spatially autocorrelated. Key neighborhood characteristics that increased child maltreatment were the number of child community centers, the number of vacant houses, the number of multicultural households, and the number of single-parent households. Financial independence of local governments, the size of the older-adult population, and population density are the key neighborhood characteristics that decrease child maltreatment. Our findings reveal that prioritizing socioeconomically vulnerable regions is critical to alleviating child maltreatment. This study provides a valuable reference for identifying areas at high risk of child maltreatment and for implementing cost-effective, neighborhood-level interventions to reduce child maltreatment.</p>","PeriodicalId":47682,"journal":{"name":"Child Indicators Research","volume":"4 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlations between Hotspots of Child Maltreatment and Neighborhood-Level Interventions\",\"authors\":\"Seonga Cho, Sewon Kim, Bong Joo Lee\",\"doi\":\"10.1007/s12187-024-10161-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Child maltreatment, which seriously impacts children’s well-being, is influenced by characteristics of neighborhood. Notably, previous studies have neglected the role of neighborhood spatial features in child maltreatment. Hence, we aimed to determine the distribution of child maltreatment occurrence by city, county, and district in South Korea; whether high child maltreatment incidence rates are clustered spatially; and the neighborhood factors that affect child maltreatment incidence. We analyzed 26,354 child maltreatment cases from 225 regions for 2020 using data from the National Child Abuse Database System. Data analysis procedures followed a three-tiered approach: ordinary least squares regression, Jarque–Bera and Breusch–Pagan tests, and geographically weighted regression. We identified concentrated hotspots and found that child maltreatment incidences were spatially autocorrelated. Key neighborhood characteristics that increased child maltreatment were the number of child community centers, the number of vacant houses, the number of multicultural households, and the number of single-parent households. Financial independence of local governments, the size of the older-adult population, and population density are the key neighborhood characteristics that decrease child maltreatment. Our findings reveal that prioritizing socioeconomically vulnerable regions is critical to alleviating child maltreatment. This study provides a valuable reference for identifying areas at high risk of child maltreatment and for implementing cost-effective, neighborhood-level interventions to reduce child maltreatment.</p>\",\"PeriodicalId\":47682,\"journal\":{\"name\":\"Child Indicators Research\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Child Indicators Research\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1007/s12187-024-10161-2\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child Indicators Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s12187-024-10161-2","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Correlations between Hotspots of Child Maltreatment and Neighborhood-Level Interventions
Child maltreatment, which seriously impacts children’s well-being, is influenced by characteristics of neighborhood. Notably, previous studies have neglected the role of neighborhood spatial features in child maltreatment. Hence, we aimed to determine the distribution of child maltreatment occurrence by city, county, and district in South Korea; whether high child maltreatment incidence rates are clustered spatially; and the neighborhood factors that affect child maltreatment incidence. We analyzed 26,354 child maltreatment cases from 225 regions for 2020 using data from the National Child Abuse Database System. Data analysis procedures followed a three-tiered approach: ordinary least squares regression, Jarque–Bera and Breusch–Pagan tests, and geographically weighted regression. We identified concentrated hotspots and found that child maltreatment incidences were spatially autocorrelated. Key neighborhood characteristics that increased child maltreatment were the number of child community centers, the number of vacant houses, the number of multicultural households, and the number of single-parent households. Financial independence of local governments, the size of the older-adult population, and population density are the key neighborhood characteristics that decrease child maltreatment. Our findings reveal that prioritizing socioeconomically vulnerable regions is critical to alleviating child maltreatment. This study provides a valuable reference for identifying areas at high risk of child maltreatment and for implementing cost-effective, neighborhood-level interventions to reduce child maltreatment.
期刊介绍:
Child Indicators Research is an international, peer-reviewed quarterly that focuses on measurements and indicators of children''s well-being, and their usage within multiple domains and in diverse cultures. The Journal will present measures and data resources, analysis of the data, exploration of theoretical issues, and information about the status of children, as well as the implementation of this information in policy and practice. It explores how child indicators can be used to improve the development and well-being of children. Child Indicators Research will provide a unique, applied perspective, by presenting a variety of analytical models, different perspectives, and a range of social policy regimes. The Journal will break through the current ‘isolation’ of academicians, researchers and practitioners and serve as a ‘natural habitat’ for anyone interested in child indicators. Unique and exclusive, the Journal will be a source of high quality, policy impact and rigorous scientific papers. Readership: academicians, researchers, government officials, data collectors, providers of funding, practitioners, and journalists who have an interest in children’s well-being issues.