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Segregating Suspected Child Maltreatment from Non-Child Maltreatment Injuries

A Population-Based Case-Control Study in Taiwan

Bibliographic Data

ID15470537
AuthorsYo-Ting Jin (Fu Jen Catholic University), Chin‐Mi Chen (0000-0001-5419-7820, Fu Jen Catholic University), Yao-Ching Huang (0000-0001-6360-3958, National Taipei University of Technology), Chi‐Hsiang Chung (0000-0002-4576-9900, Tri-Service General Hospital), Chien‐An Sun (0000-0001-9041-0537, Fu Jen Catholic University), Shi-Hao Huang (0000-0002-9304-3418, Tri-Service General Hospital), Wu‐Chien Chien (0000-0002-3286-0780, Tri-Service General Hospital, corresponding author), Gwo‐Jang Wu (0000-0001-5360-8018, Fu Jen Catholic University, corresponding author), Gwo-Jang Wu (Fu Jen Catholic University)
Year2022
Volume19
Issue8
Pages4591-4591
Publication date2022-04-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19084591
PMID35457455
OpenAlexW4223435710
LanguageEN
References cited24

Objective: To identify the differential patient characteristics, injury types, and treatment outcomes between hospitalized child abuse and non-child abuse injuries in Taiwan. Methods: Using the data from the National Health Insurance Research Database, we selected a total of 1525 patients under the age of 18 that were diagnosed with child abuse, as well as an additional 6100 patients as a comparison group. Chi-square test, Fisher exact test, and independent samples t-test were used to compare the differences between the abused children and the non-abuse-related injured children. The multivariate conditional logistic regression was performed to measure the risk factor of child maltreatment in injured children. Results: Intracranial injury was more frequent in the child abuse group than it was in the non-child abuse group (35.0% vs. 8.2%; p < 0.001). Children in the child abuse group tended to stay longer in the hospital and incur higher medical expenses (8.91 days vs. 4.41 days and USD 2564 vs. USD 880, respectively). In multivariate analysis, the Adjusted Odds Ratio (Adjusted OR) of abuse resulting in an injury for children in low-income families is 1.965 times higher than those in non-low-income families (p < 0.001). Children living in high urbanization areas had a significantly higher probability of being abused than those living in low urbanization areas (p < 0.001). Conclusion: Children under the age of 1 who were hospitalized with severe intracranial injuries are highly at risk for child maltreatment. Moreover, numerous high-risk environmental factors were observed in child abuse cases, including living in urban areas, families with low income, and seasonality, as child maltreatment cases occur more frequently in autumn

Child abuse · Environmental health · Injury prevention · Logistic regression · Multivariate analysis · Occupational safety and health · Odds ratio · Physical abuse · Poison control · Population · Psychiatry · Child Abuse and Related Trauma · Child Abuse and Trauma · Demography · Homicide, Infanticide, and Child Abuse · Medicine · Internal Medicine · Pediatrics

  • Income Inequality and Child Maltreatment in the United States

    John Eckenrode, Elliott G Smith et al.•PEDIATRICS•2014

  • A longitudinal analysis of risk factors for child maltreatment

    Open Access•J F Brown, Jocelyn Brown et al.•Child Abuse & Neglect•1998

  • A new method of classifying prognostic comorbidity in longitudinal studies

    Open Access•Mary E Charlson, Peter Pompei et al.•Journal of Chronic Diseases•1987

  • A nationwide, population-based, long-term follow-up study of repeated self-harm in Taiwan

    Open Access•Chi‐Hsiang Chung, Chi-Hsiang Chung et al.•BMC Public Health•2012

  • Income, family structure, and child maltreatment risk

    Open Access•Lawrence M Berger•Children and Youth Services Review•2004

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