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:

Injury surveillance of female adult Zumba ® dancers We sought to describe the patterns of injury and to establish the injury incidence rates associated with Zumba ®. Zumba ® dancers were invited to complete an anonymous web-based survey containing 13 demographic background and 14 (1 yr retrospective) injury history questions. Inclusion criteria stated that the respondents had to be aged 18 - 64 yr and currently involved in group -based classes of Zumba ®, either as a registered instructor or class participant. Binomial logistic regression analysis was used to predict the odds of injury during Zumba ® and Mann-Whitney tests were employed to ascertain differences between groups. The survey response rate was 74%. The final sample of respondents (N = 138; female = 100%) included 19 registered instructors and 119 class participants, of which 58% and 16%, respectively, sustained ≥ 1 injury during Zumba ® in the past year. The odds of injury was 7 (95% CI 2 - 19) times greater (p < 0.01) for registered instructors than for class participants. Zumba ® dancers had a 17 (95% CI 7 - 28) % greater (p < 0.01) odds of injury for every 1 h of non- Zumba ®- related moderate to vigorous physical activity (MVPA) engagement per week. The injury incidence rate for registered instructors and class participants was 5.7 (95% CI 3.1 - 8.2) and 3.9 (95% CI 2.5 - 5.3) injuries per 1000 h of exposure, respectively. Zumba ® presents a low risk of injury; for registered instructors, the increased risk of injury is likely due to the high total volume of MVPA participated in weekly.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": [], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": [], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": ["injury", "injuries"], "IntellectualProduct": ["class", "questions", "classes", "Mann-Whitney tests", "survey"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["participants", "groups", "participant", "respondents", "group"], "ProfessionalOrOccupationalGroup": ["registered instructors", "registered instructor", "dancers"], "ResearchActivity": [], "SpatialConcept": ["patterns"], "Virus": []}