ABSTRACT
Child maltreatment is a devastating type of adverse childhood experience that encompasses neglect and emotional, physical, and sexual abuse (including sex trafficking). Adverse childhood experiences are exposures to maltreatment or household dysfunction during crucial developmental periods that disrupt neurodevelopment and can result in lifelong physical and psychological harm, altering the child's behavior and disease risk into adulthood. Maltreatment can affect patients of any gender identity and from all racial and ethnic backgrounds, socioeconomic statuses, and community settings. Use of the validated five-item Pediatric Hurt-Insult-Threaten-Scream-Sex screening tool to identify victims of child abuse is recommended. All suspected cases of child abuse must be reported to Child Protective Services. A trauma-informed approach to care requires that team members be mindful of the potential for traumatic stress, recognize and appropriately respond to the symptoms and signs of trauma, and prevent retraumatization. Prevention through education and anticipatory guidance provided during routine well-child visits and community partnerships can foster awareness and resiliency in children. Although caring for victims of child maltreatment may be among the most challenging professional situations encountered by physicians, advocating for these endangered patients can save lives and help prevent revictimization and chronic sequelae associated with adverse childhood experiences.
Subject(s)
Adverse Childhood Experiences , Child Abuse , Adult , Child , Child Abuse/diagnosis , Child Abuse/prevention & control , Child Abuse/psychology , Emotions , Female , Gender Identity , Humans , Male , Mass Screening , Surveys and QuestionnairesSubject(s)
Actinomycosis/complications , Actinomycosis/diagnosis , Lung Diseases/complications , Lung Diseases/diagnosis , Thoracic Diseases/complications , Thoracic Diseases/diagnosis , Actinomycosis/drug therapy , Anti-Bacterial Agents/therapeutic use , Biopsy , Child , Contrast Media , Diagnosis, Differential , Female , Flank Pain/drug therapy , Flank Pain/etiology , Flank Pain/microbiology , Humans , Image Enhancement , Lung/microbiology , Lung/pathology , Lung Diseases/drug therapy , Magnetic Resonance Imaging , Penicillins/therapeutic use , Thoracic Diseases/drug therapy , Thorax/microbiology , Thorax/pathology , Tomography, X-Ray ComputedABSTRACT
Non-consumptive effects (NCES) frequently lead to non-independent effects of multiple predators. While such emergent predator effects are ubiquitous in natural communities, the strength of these effects varies among studies and systems, making it difficult to predict a priory how changes in predator diversity influence prey suppression. Thus, identifying general scaling rules which can explain this variation of non-independent effects is vital for modelling natural communities and how they respond to biodiversity loss. Body size is a key trait determining the nature and strength of ecological interactions. While great progress has been made using allometric relationships to predict the interaction strength of predator-prey pairs, it is unknown whether similar relationships explain variation in the strength of NCEs, and how they are related to consumptive effects. Here, we experimentally manipulate the relative size difference of multiple predators to determine whether NCEs follow general allometric scaling relationships in an aquatic multi-predator system. Results demonstrate that the presence and strength of NCEs can vary dramatically across predator combinations. However, this variation scaled predictably with the size ratio of predators, increasing the size difference among predators increased NCEs. This pattern was driven by a size-mediated shift in 'food web motif' from competition to intraguild predation and a positive correlation of NCEs and intraguild predation rate. Results indicate that models which assume that consumers have independent effects are particularly likely to make erroneous predictions when predators differ substantially in size, but simple allometric relationships of NCEs could be used to correct this bias.