Neighborhood racial &amp; ethnic diversity as a predictor of child welfare system involvement

Klein, Sacha; Merritt, Darcey H.

doi:10.1016/j.childyouth.2014.03.009

Cited by 65 publications

(46 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Finally, the present study did not assess whether non-malleable neighborhood characteristics such as racial heterogeneity have a direct impact on risk for substantiated maltreatment or moderate relations between neighborhood disadvantage and risk for maltreatment. Klein and Merritt (2014) found that while neighborhood impoverishment and residential instability were related to referral rates for White and Hispanic children, only housing stress was relevant for Black children. Barboza (2016) found that greater racial segregation was associated with increased risk for substantiated child maltreatment in neighborhoods with higher social vulnerability.…”

Section: Discussionmentioning

confidence: 92%

Connecting Child Maltreatment Risk With Crime and Neighborhood Disadvantage Across Time and Place: A Bayesian Spatiotemporal Analysis

et al. 2018

View full text Add to dashboard Cite

Child maltreatment is a major public health problem. Although maltreatment rates vary over time and are influenced by neighborhood characteristics, the unique effects of crime and disadvantage on risk are not well understood. This study utilized a Bayesian spatio-temporal approach to examine risk factors for substantiated child abuse and neglect over a 9-year period across zip codes in Davidson County, Tennessee. Risk for child sexual and physical abuse decreased from 2008 to 2016. In contrast, risk for child neglect increased from 2011 to 2014, followed by a rapid decrease in risk. Whereas higher percentages of families living in poverty were associated with higher risk for all maltreatment subtypes, higher unemployment rates were uniquely associated with risk for child neglect. Crime rates were positively associated with risk for child physical and sexual abuse but not neglect. Results have implications for tailoring prevention strategies according to geographic area and maltreatment subtype.

show abstract

Section: Discussionmentioning

confidence: 92%

Connecting Child Maltreatment Risk With Crime and Neighborhood Disadvantage Across Time and Place: A Bayesian Spatiotemporal Analysis

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Des résultats encore peu nombreux, mais cohérents, suggèrent que la diversité ethnoculturelle des habitants d'un territoire est liée aux probabilités de mauvais traitements. Par exemple, la récente étude de Klein et Merritt 37 établie par une analyse GLS que, même quand les indicateurs de désorganisation sociale sont contrôlés (p. ex. : pauvreté et instabilité résidentielle), une forte hétérogénéité ethnoculturelle dans leur secteur de recensement constitue un facteur de risque de signalement pour les enfants des trois groupes étudiés (Noirs, Hispanophones et Blancs).…”

Section: Discussionunclassified

Spatial Relationships between Neighbourhood Characteristics and Rates of Children from Ethnocultural Communities Reported to Child Protective Services

Dufour

Lavergne

Ramos

2015

Can J Public Health

View full text Add to dashboard Cite

RÉSUMÉOBJECTIFS : Les objectifs de cette étude étaient de 1) cartographier la distribution spatiale des taux d'enfants de groupes ethnoculturels signalés à la protection de la jeunesse (enfants noirs, d'autres minorités visibles et non issus des minorités visibles) et 2) estimer la contribution relative de diverses caractéristiques territoriales à ces taux selon les groupes.MÉTHODE : Cinq cent cinq secteurs de recensement montréalais sont étudiés. Les taux d'enfants signalés selon les groupes (variables dépendantes) et des caractéristiques territoriales comme la pauvreté (variables indépendantes) sont cartographiés puis soumis à des régressions linéaires multiples et géographiquement pondérés (GWR); des résultats GWR sont finalement cartographiés.RÉSULTATS : La distribution spatiale et les taux d'enfants signalés sont très différents selon les groupes, les Noirs présentant le taux moyen d'enfants signalés le plus élevé. Si, en considérant les relations spatiales, les caractéristiques territoriales permettent d'expliquer 51 % de la variance pour les enfants non issus des minorités visibles, elles s'avèrent nettement moins efficaces dans la prédiction des taux d'enfants noirs (18 %) et d'autres minorités (18 %).CONCLUSION : Les facteurs de risque territoriaux des signalements, déjà bien connus, sont à l'oeuvre à Montréal. Cependant, ils n'agissent pas avec la même intensité selon le secteur de recensement ni, surtout, selon les groupes ethnoculturels. Lorsqu'on s'intéresse seulement à la distribution et la prédiction des signalements de l'ensemble des enfants, on dilue donc des différences importantes. Pourtant, l'accès et l'adéquation des services offerts aux familles vulnérables, dont celles de minorités visibles, peuvent être bonifiés par une meilleure compréhension des dynamiques locales.MOTS CLÉS : abus à l'égard des enfants; violence familiale; cartographie géographique; facteurs de risque; épidémiologieThe translation of the Abstract appears at the end of this article. A translation of the article in its entirety is available on the journal website as a supplementary file in ARTICLE TOOLS.

show abstract

“…For example, Shuey and Leventhal (2017) using multilevel path models found that wealthier neighborhoods were "indirectly associated with mothers' lower reports of physical aggression with their children via more neighborhood services for children" (p. 52). Klein and Merritt (2014) found that risk of referral to child protection services increased for Black, White and Hispanic US children if they lived in multicultural, as opposed to ethnically homogenous, neighborhoods. Molnar et al (2016) showed that social neighborhood processes such as intergenerational closure, collective efficacy and social networks were correlated with lower rates of all types of abuse substantiations.…”

Section: Child Welfare Research Using An Inequalities Frameworkmentioning

confidence: 98%

Inequalities and Child Protection System Contact in Aotearoa New Zealand: Developing a Conceptual Framework and Research Agenda

Keddell

Davie

2018

Social Sciences

View full text Add to dashboard Cite

There is a growing movement to integrate conceptual tools from the health inequalities field into research that examines the relationship between inequalities and chances of child protection system contact. This article outlines the key concepts of an inequalities perspective, and discusses how these apply to inequalities in child protection in the Aotearoa New Zealand context. Drawing on existing research, this article shows that while there is evidence of links between deprivation, ethnicity, location and system contact, a more systematic research agenda shaped by an inequalities perspective would contribute to understanding more fully the social determinants of contact with the child protection system. An inequalities perspective provides balance to the current 'social investment' policy approach that targets individuals and families for service provision, with little attention to how structural inequalities impact on system contact. Directions for research are discussed, with some specific questions suggested. These include questions relating to the relationships between social inequalities and various decision points in the child protection system; if a social gradient exists and how steep it is; the interrelationship between ethnicity, deprivation and patterns of system contact; and how similarly deprived children in different locations compare with each other in relation to child protection system contact, that is, is there an 'inverse intervention law' operating?

show abstract

Neighborhood racial & ethnic diversity as a predictor of child welfare system involvement

Cited by 65 publications

References 45 publications

Connecting Child Maltreatment Risk With Crime and Neighborhood Disadvantage Across Time and Place: A Bayesian Spatiotemporal Analysis

Connecting Child Maltreatment Risk With Crime and Neighborhood Disadvantage Across Time and Place: A Bayesian Spatiotemporal Analysis

Spatial Relationships between Neighbourhood Characteristics and Rates of Children from Ethnocultural Communities Reported to Child Protective Services

Inequalities and Child Protection System Contact in Aotearoa New Zealand: Developing a Conceptual Framework and Research Agenda

Contact Info

Product

Resources

About