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:

Habitual physical activity is associated with improved anthropometric and androgenic profile in PCOS: a cross-sectional study To examine the effect of habitual physical activity (PA) on the metabolic and hormonal profiles of women with polycystic ovary syndrome. Anthropometric, metabolic and hormonal assessment and determination of habitual PA levels with a digital pedometer were evaluated in 84 women with PCOS and 67 age- and body mass index (BMI)-matched controls. PA status was defined according to number of steps (≥7500 steps, active, or <7500 steps, sedentary). BMI was lower in active women from both groups. Active PCOS women presented lower waist circumference (WC) and lipid accumulation product (LAP) values versus sedentary PCOS women. In the control group, active women also had lower WC, lower values for fasting and 120-min insulin, and lower LAP than sedentary controls. In the PCOS group, androgen levels were lower in active versus sedentary women (p = 0.001). In the control group, free androgen index (FAI) was also lower in active versus sedentary women (p = 0.018). Homeostasis model assessment of insulin resistance and 2000 daily step increments were independent predictors of FAI. Each 2000 daily step increment was associated with a decrease of 1.07 in FAI. Habitual PA was associated with a better anthropometric and androgenic profile in PCOS.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["metabolic", "PCOS", "polycystic ovary syndrome", "insulin resistance"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["androgen", "androgenic", "insulin"], "ClinicalAttribute": ["waist circumference", "body mass index", "WC", "BMI"], "Eukaryote": [], "Finding": ["FAI", "free androgen index"], "Food": [], "HealthCareActivity": ["hormonal profiles", "Homeostasis model assessment", "hormonal assessment", "profile"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": ["digital pedometer"], "Organization": [], "PopulationGroup": ["women", "sedentary women"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["cross-sectional study"], "SpatialConcept": [], "Virus": []}