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Childhood sexual abuse and lifetime depressive symptoms: the importance of type and timing of childhood emotional maltreatment.

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Title: Childhood sexual abuse and lifetime depressive symptoms: the importance of type and timing of childhood emotional maltreatment.
Authors: Hutson, Lauren M. (AUTHOR), Dan, Rotem (AUTHOR), Brown, Aliza R. (AUTHOR), Esfand, Shiba M. (AUTHOR), Ruberto, Valerie (AUTHOR), Johns, Emily (AUTHOR), Null, Kaylee E. (AUTHOR), Ohashi, Kyoko (AUTHOR), Khan, Alaptagin (AUTHOR), Du, Fei (AUTHOR), Teicher, Martin H. (AUTHOR), Pizzagalli, Diego A. (AUTHOR)
Source: Psychological Medicine. Nov2024, Vol. 54 Issue 15, p1-11. 11p.
Subjects: Child sexual abuse & psychology, Mental depression risk factors, Risk assessment, Self-evaluation, Random forest algorithms, Research funding, Descriptive statistics, Analysis of covariance, Women's health, Comparative studies, Machine learning, Data analysis software, Time, Mental depression, Algorithms
Abstract: Background Childhood sexual abuse (CSA) and emotional maltreatment are salient risk factors for the development of major depressive disorder (MDD) in women. However, the type- and timing-specific effects of emotional maltreatment experienced during adolescence on future depressive symptomatology in women with CSA have not been explored. The goal of this study was to fill this gap. Methods In total, 203 women (ages 20–32) with current depressive symptoms and CSA (MDD/CSA), remitted depressive symptoms and CSA (rMDD/CSA), and current depressive symptoms without CSA (MDD/no CSA) were recruited from the community and completed self-report measures. Depressive symptoms were assessed using the Beck Depression Inventory (BDI-II) and a detailed maltreatment history was collected using the Maltreatment and Abuse Chronology of Exposure (MACE). Differences in maltreatment exposure characteristics, including multiplicity and severity of maltreatment, as well as the chronologies of emotional maltreatment subtypes were compared among groups. A random forest machine-learning algorithm was utilized to assess the impact of exposure to emotional maltreatment subtypes at specific ages on current depressive symptoms. Results MDD/CSA women reported greater prevalence and severity of emotional maltreatment relative to rMDD/CSA and MDD/no CSA women [ F (2,196) = 9.33, p < 0.001], specifically from ages 12 to 18. The strongest predictor of current depressive symptoms was parental verbal abuse at age 18 for both MDD/CSA women (variable importance [VI] = 1.08, p = 0.006) and MDD/no CSA women (VI = 0.68, p = 0.004). Conclusions Targeting emotional maltreatment during late adolescence might prove beneficial for future intervention efforts for MDD following CSA. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Medicine is the property of Cambridge University Press 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: Childhood sexual abuse and lifetime depressive symptoms: the importance of type and timing of childhood emotional maltreatment.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Psychological+Medicine%22&quot;&gt;Psychological Medicine&lt;/searchLink&gt;. Nov2024, Vol. 54 Issue 15, p1-11. 11p.
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– Name: Abstract
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  Data: Background Childhood sexual abuse (CSA) and emotional maltreatment are salient risk factors for the development of major depressive disorder (MDD) in women. However, the type- and timing-specific effects of emotional maltreatment experienced during adolescence on future depressive symptomatology in women with CSA have not been explored. The goal of this study was to fill this gap. Methods In total, 203 women (ages 20–32) with current depressive symptoms and CSA (MDD/CSA), remitted depressive symptoms and CSA (rMDD/CSA), and current depressive symptoms without CSA (MDD/no CSA) were recruited from the community and completed self-report measures. Depressive symptoms were assessed using the Beck Depression Inventory (BDI-II) and a detailed maltreatment history was collected using the Maltreatment and Abuse Chronology of Exposure (MACE). Differences in maltreatment exposure characteristics, including multiplicity and severity of maltreatment, as well as the chronologies of emotional maltreatment subtypes were compared among groups. A random forest machine-learning algorithm was utilized to assess the impact of exposure to emotional maltreatment subtypes at specific ages on current depressive symptoms. Results MDD/CSA women reported greater prevalence and severity of emotional maltreatment relative to rMDD/CSA and MDD/no CSA women [ F (2,196) = 9.33, p &lt; 0.001], specifically from ages 12 to 18. The strongest predictor of current depressive symptoms was parental verbal abuse at age 18 for both MDD/CSA women (variable importance [VI] = 1.08, p = 0.006) and MDD/no CSA women (VI = 0.68, p = 0.004). Conclusions Targeting emotional maltreatment during late adolescence might prove beneficial for future intervention efforts for MDD following CSA. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Psychological Medicine is the property of Cambridge University Press 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=182283796
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        Value: 10.1017/S003329172400268X
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        Text: English
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        PageCount: 11
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    Subjects:
      – SubjectFull: Child sexual abuse & psychology
        Type: general
      – SubjectFull: Mental depression risk factors
        Type: general
      – SubjectFull: Risk assessment
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      – SubjectFull: Self-evaluation
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      – SubjectFull: Random forest algorithms
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      – SubjectFull: Research funding
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Analysis of covariance
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      – SubjectFull: Women's health
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      – SubjectFull: Comparative studies
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      – SubjectFull: Machine learning
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      – SubjectFull: Mental depression
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              Text: Nov2024
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