6 research outputs found

    Impacts of Childhood Trauma and How Schools Can Help

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    Plan BMany children are affected by adverse childhood experiences (ACEs). If left untreated, ACEs can lead to childhood traumatization. The impact of trauma on children’s academic performance and social functioning is significant. Children spend a lot of their time in the school setting growing up. Most students receive mental health services in the school, but there are still many schools that are not trauma-informed. School staff may not be aware of how trauma impacts children in a school setting. As a result, traumatized children are either not identified or are mislabeled with an incorrect diagnosis. Trauma-informed practices may help school staff understand the impacts of trauma, recognize trauma in their students, and support students who have been exposed to trauma. Schools can be a safe and supportive environment where children can get help in times of need. Creating trauma-sensitive schools can benefit all children regardless of their trauma history and enable all children to succeed

    Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk

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    BACKGROUND: Manual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitative measures of TDLU involution in normal breast tissue. We assessed the associations of these automated measures with breast cancer risk factors and risk. METHODS: We obtained eight quantitative measures from whole slide images from a benign breast disease (BBD) nested case-control study within the Nurses' Health Studies (287 breast cancer cases and 1,083 controls). Qualitative assessments of TDLU involution were available for 177 cases and 857 controls. The associations between risk factors and quantitative measures among controls were assessed using analysis of covariance adjusting for age. The relationship between each measure and risk was evaluated using unconditional logistic regression, adjusting for the matching factors, BBD subtypes, parity, and menopausal status. Qualitative measures and breast cancer risk were evaluated accounting for matching factors and BBD subtypes. RESULTS: Menopausal status and parity were significantly associated with all eight measures; select TDLU measures were associated with BBD histologic subtype, body mass index, and birth index (P 0.05). Neither quantitative nor qualitative measures were associated with breast cancer risk. CONCLUSIONS: Among Nurses' Health Studies women diagnosed with BBD, TDLU involution is not a biomarker of subsequent breast cancer. IMPACT: TDLU involution may not impact breast cancer risk as previously thought
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