You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Associations between major life events and adherence, glycemic control, and psychosocial characteristics in teens with type 1 diabetes This cross-sectional study assessed the type of major life events occurring in a contemporary sample of teens with type 1 diabetes and the association between event frequency and demographic, diabetes management, and psychosocial characteristics. Parents of 178 teens completed the Life Events Checklist to report major events teens had experienced in the last year: 42% experienced 0 to 1 event (n = 75), 32% experienced 2 to 3 events (n = 57), and 26% experienced 4+ events (n = 46). Teens and parents completed validated measures of treatment adherence, diabetes -specific self-efficacy, quality of life, and diabetes -specific family conflict. Parent-youth interview and chart review provided demographics and diabetes management data. Mean number of events / teen was 2.6 ± 2.7 (range = 0-15). The most common events were " Hospitalization of a family member " (24%), " Getting a bad report card " (20%), "Serious arguments between parents " (19%), and " Serious illness / injury in a family member " (19%). Compared with teens experiencing 0 to 1 event, teens experiencing 4+ events were less likely to have married parents (P = .01) and a parent with a college degree (P = .006). Teen s with 4+ events had significantly poorer adherence (P = .002 teen, P = .02 parent), lower self-efficacy (P = .03 teen, P < .0001 parent), poorer quality of life (P < .0001 teen, P < .0001 parent), and more conflict (P = .006 teen, P = .02 parent) than teens with fewer events. In a multivariate model (R (2) = 0.21, P < .0001) controlling for demographic and diabetes management characteristics, fewer events was associated with lower A1c (P = .0009). Occurrence of more major life events was associated with poorer diabetes care and A1c and more negative psychosocial qualities in teens with type 1 diabetes.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["self-efficacy", "type 1 diabetes", "diabetes"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["A1c"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["family conflict", "Getting a bad report card", "conflict", "Serious illness"], "Food": [], "HealthCareActivity": ["glycemic control,", "diabetes management", "Hospitalization", "chart review", "diabetes care"], "InjuryOrPoisoning": ["injury"], "IntellectualProduct": ["multivariate model", "college degree", "Checklist"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["Teens", "teen", "teens", "Teen"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["cross-sectional study", "demographics"], "SpatialConcept": [], "Virus": []}