Dataset Information

Exploratory assessment of parental physical disease categories as predictors of documented physical child abuse.

ABSTRACT: Improved prediction of physical child abuse could aid in developing preventive measures. Parental physical disease has been tested previously as a predictor of documented physical child abuse but in broad categories and with differing results. No prior studies have tested clinically recognizable categories of parental disease in a high-powered dataset. Using Danish registries, data on children and their parents from the years 1997-2018 were used to explore several parental physical disease categories' associations with documented physical child abuse. For each disease category, survival analysis using pseudovalues was applied. When a parent of a child was diagnosed or received medication that qualified for a category, this family and five comparison families not in this disease category were included, creating separate cohorts for each category of disease. Multiple analyses used samples drawn from 2,705,770 children. Estimates were produced for 32 categories of physical diseases. Using Bonferroni-corrected confidence intervals (CIc), ischemic heart disease showed a relative risk (RR) of 1.44 (CIc 1.13-1.84); peripheral artery occlusive disease, RR 1.39 (CIc 1.01-1.90); stroke, RR 1.19 (1.01-1.41); chronic pulmonary disease, RR 1.33 (CIc 1.18-1.51); ulcer/chronic gastritis, RR 1.27 (CIc 1.08-1.49); painful condition, 1.17 (CIc 1.00-1.37); epilepsy, RR 1.24 (CIc 1.00-1.52); and unspecific somatic symptoms, RR 1.37 (CIc 1.21-1.55). Unspecific somatic symptoms were present in 71.87% of families at some point during the study period.

Conclusion

Most parental physical disease categories did not show statistically significant associations, but some showed predictive ability. Further research is needed to explore preventive potential.

What is known

• Few and broad categories of parental physical disease have been examined as risk factors for severe physical child abuse; no prior study has used several categories as predictors.

What is new

• Unspecific symptoms, ischemic heart disease, peripheral artery occlusive disease, stroke, chronic pulmonary disease, stomach ulcer/chronic gastritis, painful condition, and epilepsy all showed to be potential predictors, with unspecific symptoms being the most prevalent.

SUBMITTER: Græsholt-Knudsen T

PROVIDER: S-EPMC10912441 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Exploratory assessment of parental physical disease categories as predictors of documented physical child abuse.

Græsholt-Knudsen Troels T Rask Charlotte Ulrikka CU Lucas Steven S Bech Bodil Hammer BH

European journal of pediatrics 20231113 2

Improved prediction of physical child abuse could aid in developing preventive measures. Parental physical disease has been tested previously as a predictor of documented physical child abuse but in broad categories and with differing results. No prior studies have tested clinically recognizable categories of parental disease in a high-powered dataset. Using Danish registries, data on children and their parents from the years 1997-2018 were used to explore several parental physical disease categ ...[more]

PMID: 37955746

Similar Datasets

Project description:Successful prevention of physical child abuse is dependent on improvements in risk assessment. The risk of abuse is assumed to increase when family stressors overcome resources. Severe physical disease can increase stress, and parental physical disease has been studied as a risk factor for physical child abuse, but with heterogeneous definitions. This study evaluated the relation between parental physical disease severity and severe documented physical child abuse. Models were based on data on children aged 0-17 years in Denmark between 1997 and 2018, and their parents. Severe documented physical child abuse was modeled as violence against a child registered by either health authorities in treatment or mortality registries, or police authorities in cases confirmed by the courts. Parental physical disease severity was modeled as the sum of Charlson Comorbidity Index scores for the child's parents. The causal connection was examined in two model types: a survival model comparing exposed with non-exposed children, adjusted for covariates at baseline, and a G-model, taking time-varying covariates, including income and parental psychiatric disease into account. Neither model showed an association between parental physical disease severity and severe documented physical child abuse, with RR 0.99 and 95% CI (0.93-1.05) for the survival model and RR 1.08 for the G-model (CI not calculated). Conclusion: In the model studied, parental physical disease severity was not a risk factor for severe documented physical child abuse. Individual categories of physical disease remain to be examined. Trial registration: The study was pre-registered on Open Science Framework, https://osf.io/fh2sr . What is Known: • Parental physical disease severity has been studied previously as a risk indicator of physical child abuse, but based on heterogeneous definitions. • Previous studies have not studied parental physical disease severity preceding physical child abuse. What is New: • Parental severe physical disease was not prospectively associated with severe documented physical child abuse in a survival model, a G-model and a number of sensitivity analyses, respectively. • Results should be replicated in samples from populations without universal health care, and using different categories of disease.

Project description:BackgroundAcross Ohio, parental substance abuse has contributed to a marked increase in the number of children in foster care. Children exposed to parental substance use have a higher likelihood of physical abuse and neglect, and consequently a variety of physical, psychological and cognitive problems. The Enhancing Permanency in Children and Families (EPIC) program is a collaborative effort between the Ohio State University College of Social Work, two county offices of the Ohio Department of Job and Family Services, two juvenile courts and local behavioral health agencies. The goal of EPIC is to use three evidence-based and evidence-informed practices to reduce abusive and neglectful parenting, reduce addiction severity in parents, and improve permanency outcomes for families involved with the child welfare system due to substance abuse.MethodsEPIC is a quasi-experimental study. Under the program, child welfare-involved adults who screen positive for substances are matched with a peer recovery supporter. Participants are also incentivized to participate in family treatment drug court, medications for opioid use disorders and home-based parenting supports. Participating adults (N = 250) are matched with comparison groups from counties participating in a separate intervention (Ohio START) and to those receiving treatment as usual, resulting in a final sample of 750 adults. Primary outcomes including addiction severity, child trauma symptoms, resilience, and attachment are assessed at baseline and at program completion. Additional outcomes include timely access to treatment services, length of placement in out-of-home care and recidivism into the child welfare system.DiscussionThis intervention formalizes cross-system collaboration between child welfare, behavioral health and juvenile courts to support families affected by addiction. The use of three evidence-based or evidence-informed strategies presents the opportunity to determine specific strategies that are most effective for reducing addiction severity. Lastly, the intervention combines several sources of funding to bolster sustainability beyond the life of the Regional Partnership Grant (RPG).Trial registrationNCT04700696 . Registered January 7, 2021-retrospectively registered.

Dataset Information

Exploratory assessment of parental physical disease categories as predictors of documented physical child abuse.

Conclusion

What is known

What is new

Publications

Exploratory assessment of parental physical disease categories as predictors of documented physical child abuse.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets