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Stress exposure and reactivity models were examined as explanations for why girls exhibit greater levels of depressive symptoms than boys. In a multiwave, longitudinal design, adolescents' depressive symptoms, alcohol usage, and occurrence of stressors were assessed at baseline, 6, and 12 months later (N=538; 54.5% female; ages 13-18, average 14.9). Daily stressors were coded into developmentally salient domains using a modified contextual-threat approach. Girls reported more depressive symptoms and stressors in certain contexts (e.g., interpersonal) than boys. Sex differences in depression were partially explained by girls reporting more stressors, especially peer events. The longitudinal direction of effects between depression and stressors varied depending on the stressor domain. Girls reacted more strongly to stressors in the form of depression. 相似文献
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Elysia Poggi Davis Benjamin L. Hankin Laura M. Glynn Kevin Head Dae Jin Kim Curt A. Sandman 《Child development》2020,91(2):e432-e450
Prenatal maternal stress predicts subsequent elevations in youth depressive symptoms, but the neural processes associated with these links are unclear. This study evaluated whether prenatal maternal stress is associated with child brain development, and adolescent depressive symptoms using a prospective design with 74 mother child pairs (40 boys). Maternal stress was assessed during pregnancy, child cortical thickness at age 7, and depressive symptoms at age 12. Prenatal maternal stress was associated with less cortical thickness primarily in frontal and temporal regions and with elevated depressive symptoms; child cortical thickness additionally correlated with adolescent depressive symptoms. The observed associations are consistent with the possibility that cortical thickness in superior frontal regions links associations between prenatal maternal stress and adolescent depressive symptoms. 相似文献
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The neck is not only one of the more challenging anatomical regions to dissect but also has important application to clinical conditions, diseases, and procedures. In this study, we describe two simple modifications for dissection of the neck that (1) aid in the identification and preservation of the cutaneous branches of the cervical plexus and the accessory nerve, and (2) provide wide exposure of the root of the neck. The cutaneous branches of the cervical plexus can be identified with relative ease at the nerve point of the neck, where they are largest. To accomplish this, the skin and platysma are reflected beginning from the anterior border of trapezius and proceeding anteriorly to the midline of the neck, rather than the conventional approach of reflecting the skin from the anterior midline. The accessory nerve is identified by its relationship to the nerve point and its course to the trapezius muscle. To achieve wide exposure of the root of the neck and its contents, the acromioclavicular and sternoclavicular joints are disarticulated, and then the clavicle removed completely, rather than the more common approach of removing only the middle section of the clavicle. These modified procedures can be readily performed by first‐year medical students and integrate well with methods described in widely used anatomy dissection manuals. Anat Sci Educ 2:186–192, 2009. © 2009 American Association of Anatomists. 相似文献
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Ovidiu Șerban Nicholas Thapen Brendan Maginnis Chris Hankin Virginia Foot 《Information processing & management》2019,56(3):1166-1184
Interest in real-time syndromic surveillance based on social media data has greatly increased in recent years. The ability to detect disease outbreaks earlier than traditional methods would be highly useful for public health officials. This paper describes a software system which is built upon recent developments in machine learning and data processing to achieve this goal. The system is built from reusable modules integrated into data processing pipelines that are easily deployable and configurable. It applies deep learning to the problem of classifying health-related tweets and is able to do so with high accuracy. It has the capability to detect illness outbreaks from Twitter data and then to build up and display information about these outbreaks, including relevant news articles, to provide situational awareness. It also provides nowcasting functionality of current disease levels from previous clinical data combined with Twitter data.The preliminary results are promising, with the system being able to detect outbreaks of influenza-like illness symptoms which could then be confirmed by existing official sources. The Nowcasting module shows that using social media data can improve prediction for multiple diseases over simply using traditional data sources. 相似文献
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