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:

Consumption of fruits and vegetables associated with other risk behaviors among adolescents in Northeast Brazil To determine the prevalence of consumption of fruits and vegetables and identify the association with low level of physical activity, exposure to sedentary behavior, consumption of soft drinks and overweight / obesity in adolescents. This is a cross-sectional school-based study with a representative sample of 3992 students aged 14-19 years from the state of Sergipe, Brazil. The outcome was low consumption of fruits and vegetables (<5 servings/day). Independent variables were: level of physical activity, sedentary behavior, consumption of soft drinks, and overweight / obesity. Global Student Health Survey questionnaire and body mass and height measurements were used, as well as chi-square test and crude and adjusted binary logistic regression. The significance level adopted was 5%. The prevalence of inadequate consumption of fruits and vegetables was high - 88.6% (95% CI =87.6-89.5). Higher likelihood of low consumption of fruits and vegetables was verified among boys who were exposed to sedentary behavior (OR =1.63; 95% CI =1.18-2.24), who consumed soft drinks (OR =3.04; 95% CI =2.10-4.40), with insufficiently physical activity (OR =1.98; 95% CI =1.43-2.73) and girls who consumed soft drinks (OR =1.88; 95% CI =1.43-2.47) and those with overweight / obesity (OR =1.63; 95% CI =1.19-2.23). There is a need of public policies aimed at encouraging the consumption of healthy foods among adolescents.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["obesity", "Consumption of fruits and vegetables", "consumption of fruits and vegetables"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["overweight"], "Food": ["soft drinks"], "HealthCareActivity": ["body mass"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Global Student Health Survey questionnaire", "chi-square test"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["students"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["cross-sectional school-based study", "crude and adjusted binary logistic regression", "significance level"], "SpatialConcept": ["Brazil", "state of Sergipe", "Northeast Brazil"], "Virus": []}