ArticleChild abuse & neglect2020
Longitudinal Understanding of Child Maltreatment Report Risks.
Article in Child abuse & neglect, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Benefits of longitudinally linked national records of child maltreatment report and foster care.Child abuse & neglect · 2025Article
- Community food insecurity predicts child maltreatment report rates across Illinois zip codes, 2011-2018.Annals of epidemiology · 2022Article
- Safeguarding children and young people requiring kidney replacement therapy: challenges and potential opportunities.Pediatric nephrology (Berlin, Germany) · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundChild maltreatment reports (CMR) are both common and strongly associated with various negative outcomes.
objectiveTo examine CMR risks by child age, early childhood context, current/cumulative economic status (welfare receipt), race, and other risk factors with a longitudinal dataset. PARTICIPANTS AND
settingThe CAN sample included 2,111 children having a CMR ≤ age 3, suggestive of a harmful early childhood context. The AFDC sample included 1,923 children having AFDC but no CMR ≤ age 3, suggestive of early childhood protective factors despite poverty.
methodsWe estimated the CMR likelihood at each age from 1-17 years based on various risk factors while following up children from 1995-2009.
resultsDuring follow-up, CMR likelihoods were substantially higher for the CAN sample than for the AFDC sample. The age-CMR relationship was strongly negative for the CAN sample (OR = 0.87, 95% CI = 0.86-0.88). This relationship was weaker for the AFDC sample (OR = 0.92, 0.89-0.95) and became non-significant for children who exited welfare. Current welfare receipt remained a strong predictor of CMR likelihoods for both CAN (OR = 2.32, 1.98-2.71) and AFDC (OR = 2.08, 1.61-2.68) samples. Prior welfare receipt moderately increased CMR likelihoods among those not currently on welfare. Controlling for other risk factors, White children had the highest likelihood of CMR. Other child and parent level vulnerabilities also increased CMR risk over time.
conclusionsThis study highlights the importance of longitudinal analytic approaches and the utility of cross-sector administrative data in improving our ability to understand and predict CMRs over time.
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