Background: The third Netherlands' Prevalence study of Maltreatment of children and youth (NPM-2017) continues the tradition of periodically mapping the national prevalence of child maltreatment... Show moreBackground: The third Netherlands' Prevalence study of Maltreatment of children and youth (NPM-2017) continues the tradition of periodically mapping the national prevalence of child maltreatment.Objective: The NPM-2017 provides an update of the current prevalence rates of child maltreatment and of changes in its prevalence over the last 12 years. In addition, risk factors for child maltreatment and its co-occurrence with domestic violence were investigated.Participants and Setting: Prevalence data were based on cases reported to 'Safe at Home' organizations (former CPS agencies) and observations of professionals working with children (sentinels).Methods: Sentinels (N = 785) filled out a form for each case of suspected child maltreatment that they observed within their professional sample during a three-month period.Results: An overall prevalence estimate of child maltreatment in the Netherlands in 2017 of 26-37 per 1000 children was computed. The most important risk factors for child maltreatment were low parental education (RR = 4.95), parental unemployment (RR = 3.64), immigrant status (RR = 3.61), and single parenthood (RR = 2.29). Neither prevalence rates nor risk factors changed significantly between 2005, 2010, and 2017. Finally, in 46 % of the reported families child maltreatment occurred in a context of domestic violence.Conclusions: The prevalence of co-occurring domestic violence may indicate that family violence observed within one dyad could be a marker for dysfunctional functioning of the family system. Child maltreatment remains a considerable problem in the Netherlands with a stable prevalence over the last 12 years and stability in characteristics that make families vulnerable for child maltreatment. Show less
Vrijhof, C.I.; Euser, S.; Bakermans-Kranenburg, M.J.; Bulk, B.G. van den; Bosdriesz, J.R.; Linting, M.; ... ; Van IJzendoorn, M.H. 2019
Child-driven genetic factors can contribute to negative parenting and may increase the risk of being maltreated. Experiencing childhood maltreatment may be partly heritable, but results of twin... Show moreChild-driven genetic factors can contribute to negative parenting and may increase the risk of being maltreated. Experiencing childhood maltreatment may be partly heritable, but results of twin studies are mixed. In the current study, we used a cross-sectional extended family design to estimate genetic and environmental effects on experiencing child maltreatment. The sample consisted of 395 individuals (225 women; M-age = 38.85 years, range(age) = 7-88 years) from 63 families with two or three participating generations. Participants were oversampled for experienced maltreatment. Self-reported experienced child maltreatment was measured using a questionnaire assessing physical and emotional abuse, and physical and emotional neglect. All maltreatment phenotypes were partly heritable with percentages for h(2) ranging from 30% (SE = 13%) for neglect to 62% (SE = 19%) for severe physical abuse. Common environmental effects (c(2)) explained a statistically significant proportion of variance for all phenotypes except for the experience of severe physical abuse (c(2) = 9%, SE = 13%, p = .26). The genetic correlation between abuse and neglect was rho(g) = .73 (p = .02). Common environmental variance increased as socioeconomic status (SES) decreased (p = .05), but additive genetic and unique environmental variances were constant across different levels of SES. Show less
Pittner, K.; Bakermans-Kranenburg, M.J.; Alink, L.R.A.; Buisman, R.S.M.; Berg, L.J.M. van den; Block, L.H.C.G.C.C.; ... ; IJzendoorn, M.H. van 2019
Child-driven genetic factors can contribute to negative parenting and may increase the risk of being maltreated. Experiencing childhood maltreatment may be partly heritable, but results of twin... Show moreChild-driven genetic factors can contribute to negative parenting and may increase the risk of being maltreated. Experiencing childhood maltreatment may be partly heritable, but results of twin studies are mixed. In the current study, we used a cross-sectional extended family design to estimate genetic and environmental effects on experiencing child maltreatment. The sample consisted of 395 individuals (225 women; M-age = 38.85 years, range(age) = 7-88 years) from 63 families with two or three participating generations. Participants were oversampled for experienced maltreatment. Self-reported experienced child maltreatment was measured using a questionnaire assessing physical and emotional abuse, and physical and emotional neglect. All maltreatment phenotypes were partly heritable with percentages for h(2) ranging from 30% (SE = 13%) for neglect to 62% (SE = 19%) for severe physical abuse. Common environmental effects (c(2)) explained a statistically significant proportion of variance for all phenotypes except for the experience of severe physical abuse (c(2) = 9%, SE = 13%, p = .26). The genetic correlation between abuse and neglect was rho(g) = .73 (p = .02). Common environmental variance increased as socioeconomic status (SES) decreased (p = .05), but additive genetic and unique environmental variances were constant across different levels of SES. Show less
Ginkel, J.R. van; Linting, M.; Rippe, R.C.A.; Voort, A. van der 2019
Missing data is a problem that occurs frequently in many scientific areas. The most sophisticatedmethod for dealing with this problem is multiple imputation. Contrary to other methods, like... Show moreMissing data is a problem that occurs frequently in many scientific areas. The most sophisticatedmethod for dealing with this problem is multiple imputation. Contrary to other methods, like listwise deletion, this method does not throw away information, and partly repairs the problem ofsystematic dropout. Although from a theoretical point of view multiple imputation is consideredto be the optimal method, many applied researchers are reluctant to use it because of persistentmisconceptions about this method. Instead of providing an(other) overview of missing data methods, or extensively explaining how multiple imputation works, this article aims specifically atrebutting these misconceptions, and provides applied researchers with practical arguments supporting them in the use of multiple imputation. Show less
Alink, L.; Prevoo, M.; Berkel, S.R. van; Linting, M.; Klein Velderman, M.; Pannebakker, F. 2019
