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Examining Brief Child Abuse Potential Inventory Profiles within a Randomized Controlled Trial for Toddler-aged Children.

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Title: Examining Brief Child Abuse Potential Inventory Profiles within a Randomized Controlled Trial for Toddler-aged Children.
Authors: Druskin, Lindsay R., Kohlhoff, Jane, Lilly, Christa, Owen, Christopher K., Han, Robin C., Wallace, Nancy, Cibralic, Sara, Morgan, Sue, Hawkins, Erinn, McNeil, Cheryl B.
Source: Journal of Child & Family Studies. Aug2025, Vol. 34 Issue 8, p2220-2232. 13p.
Subjects: Risk assessment, Emotion regulation, Child abuse, Questionnaires, Logistic regression analysis, Parenting, Behavior disorders in children, Odds ratio, Research bias, Psychology of mothers, Psychological stress, Mother-child relationship, Clinics, Medical referrals, Mental depression
Abstract: Child abuse is a significant public health concern that impacts children worldwide. Efforts to connect at-risk parents with prevention and intervention programs require the use of high-quality measures that evaluate child abuse potential. The widely-used Brief Child Abuse Potential Inventory (BCAP) contains response bias indices. Little is known about factors that relate to invalid responses and whether these validity scales aid in identifying high-risk parents. Using a sample of 84 mother-toddler dyads referred for child behavior problems to an Australian outpatient clinic, the current study investigated factors that determined the likelihood of having an invalid profile on the BCAP. Logistic regressions evaluated relations between parent, child, and parent-child relational factors associated with the odds of having an invalid BCAP profile. Results indicated that greater parental dysregulation (OR = 1.047, p < 0.001), stress (OR = 1.043, p = 0.001), depressive symptoms (OR = 1.133, p = 0.021), and negative parenting (OR = 57.629, p = 0.049)) were related to increased odds of an invalid BCAP profile. Invalid BCAP profiles frequently occur. Parents with invalid BCAP profiles are a high-risk subset of parents that should be thoughtfully evaluated for child abuse. As parents with invalid BCAP profiles have historically been overlooked within clinical/research settings, the current research may inform best practices and enhance accuracy in parenting evaluations. Highlights: Parents with invalid BCAP profiles were identified to be high-risk, presenting with a unique constellation of concerning characteristics. Parents with invalid BCAP profiles displayed greater parental emotion dysregulation, stress, depressive symptoms, and observed negative parenting behaviors. A multi-method and multi-informant evaluation should be employed to evaluate parental risk for child abuse. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Child & Family Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Examining Brief Child Abuse Potential Inventory Profiles within a Randomized Controlled Trial for Toddler-aged Children.
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  Data: Child abuse is a significant public health concern that impacts children worldwide. Efforts to connect at-risk parents with prevention and intervention programs require the use of high-quality measures that evaluate child abuse potential. The widely-used Brief Child Abuse Potential Inventory (BCAP) contains response bias indices. Little is known about factors that relate to invalid responses and whether these validity scales aid in identifying high-risk parents. Using a sample of 84 mother-toddler dyads referred for child behavior problems to an Australian outpatient clinic, the current study investigated factors that determined the likelihood of having an invalid profile on the BCAP. Logistic regressions evaluated relations between parent, child, and parent-child relational factors associated with the odds of having an invalid BCAP profile. Results indicated that greater parental dysregulation (OR = 1.047, p &lt; 0.001), stress (OR = 1.043, p = 0.001), depressive symptoms (OR = 1.133, p = 0.021), and negative parenting (OR = 57.629, p = 0.049)) were related to increased odds of an invalid BCAP profile. Invalid BCAP profiles frequently occur. Parents with invalid BCAP profiles are a high-risk subset of parents that should be thoughtfully evaluated for child abuse. As parents with invalid BCAP profiles have historically been overlooked within clinical/research settings, the current research may inform best practices and enhance accuracy in parenting evaluations. Highlights: Parents with invalid BCAP profiles were identified to be high-risk, presenting with a unique constellation of concerning characteristics. Parents with invalid BCAP profiles displayed greater parental emotion dysregulation, stress, depressive symptoms, and observed negative parenting behaviors. A multi-method and multi-informant evaluation should be employed to evaluate parental risk for child abuse. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Journal of Child &amp; Family Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10826-025-03055-6
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        Text: English
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        PageCount: 13
        StartPage: 2220
    Subjects:
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Emotion regulation
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      – SubjectFull: Child abuse
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      – SubjectFull: Questionnaires
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      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Parenting
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      – SubjectFull: Behavior disorders in children
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      – SubjectFull: Odds ratio
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              Text: Aug2025
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