The focus of this study was on the question of whether or not children with a number of disabilities and long-term illnesses are at increased risk of child maltreatment (mental violence, disciplinary violence, and serious violence). This study was based on the Child Victim Survey of 2013 (FSD2943). The data consist of a nationally representative sample of pupils in Finland in sixth grade (12–13 years of age) and ninth grade (15–16 years of age). The sampling was undertaken as a stratified cluster by province, municipality type, and school size. The total number of respondents was 11,364. According to the logistic regression analyses, the children with at least three disabilities or long-term illnesses had an increased risk of violence compared with children with no disability: The risk of mental violence increased by 2.96 times, the risk of disciplinary violence by 4.30 times, and the risk of serious violence by 3.53 times. The effect of the category of at least three disabilities and illnesses remained statistically significant, although the analysis also accounted for several confounding factors. Thus, a child’s multiple morbidity (in the case of three or more disabilities and illnesses) can be categorized as one of the major risk factors for child maltreatment. The study complements the results of previous studies concerning the effect of children’s disabilities and long-term illnesses and their impact on child maltreatment. The results underline the importance of employees of health and social care having knowledge of multiple morbidity and its importance as a key factor regarding child maltreatment.
Previous studies have found mixed results about the effects of family support services within the child protection system. The purpose of the study is to examine whether family support services are associated with the need for child removals at the community level. The material of the study consists of Finnish municipalities (N = 292) and their child protection indicators. Linear regression analysis was conducted to analyse the associations between the dependent variable (child removals) and the main predictors (child welfare notifications and family support services). It was found that family support services are associated with child removals. The more children there are in family support services, the more there are also child removals in a municipality. The key finding of the analysis is that a higher rather than lower proportion of clients in family support services buffers the increased effect of demand (child welfare notifications) on child removals better. In this sense, the demand for child removals is not only associated with the characteristics of children and families but may be partly explained by the role of family support services in a municipality. The present study underlines the significance of a system-level approach to child protection.
This study explored in the Finnish context whether additional income support for economically insecure households reduces the demand for child protection services at the municipality level. The data were retrieved from the Official Statistics of Finland from 294 municipalities in 2017–2019. Mediation and moderation analyses were used for testing the hypotheses. According to the results, household economic insecurity was associated with the demand for child protection services. The more economically insecure households there were in a municipality, the greater the demand for child protection services. On the other hand, additional income support has a buffering effect between household economic insecurity and the demand for child protection services. However, the effect of additional income support depends on the proportion of economically insecure households in a municipality. The degree of buffering effect was increasing when the proportion of household economic insecurity was also increasing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.