Background: This study was developed to determine whether a machine learning model could be developed to assess blood pressure with accuracy comparable to arm cuff measurements.
Methods: A deep learning model was developed based on the UK Biobank dataset and was trained to detect both systolic and diastolic pressure. The hypothesis was formulated after data collection and before the development of the model.
This review outlines the literature concerning the impact of adverse childhood experiences (ACEs) on parenting, focusing on how childhood trauma in parents might impede the development of adaptive parental mentalizing skills. Non-adaptive parental mentalizing may lead to non-mentalizing cycles between parents and children, which can put the child's mental health at risk. When parents who have endured ACEs have to cope with their children's mental health problems, they may have to deal with a double dose of parental stress related to their own traumatic history and their children's emotional difficulties.
View Article and Find Full Text PDFIntroduction: Children of mothers with a history of adverse childhoods are at greater risk of behavior problems. However, the mechanisms through which a mother's early adverse experiences (ACEs) are transmitted to her children need further study. Our goal was to examine a conceptual mediational model linking mothers' ACEs, maternal psychopathology symptoms, and parenting behaviors with children's internalizing and externalizing behaviors sequentially.
View Article and Find Full Text PDFResearch has suggested adverse childhood experiences (ACEs) as a transdiagnostic risk factor for a variety of affective disorders. They are also linked with a parent's tendency toward affect dysregulation and hyperarousal, which may interfere with parenting and children's wellbeing. On the other hand, maternal mentalization can serve as a moderating factor that can help parents regulate their arousal, shielding children during adverse circumstances.
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