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:

Trajectories of Health and Behavioral Health Services Use among Community Corrections -Involved Rural Adults This article seeks to establish time-based trajectories of health and behavioral health services utilization for community corrections-involved (CCI) adults and to examine demographic and clinical correlates associated with these trajectories. To accomplish this aim, the authors applied a latent class growth analysis (LCGA) to services use data from a sample of rural CCI adults who reported their medical, mental health, and substance use treatment utilization behavior every 60 days for 1.5 years. LCGA established 1.5-year trajectories and demographic correlates of health services among rural CCI adults. For medical services, three classes emerged (stable-low users, 13%; stable-intermediate users, 40%; and stable-high users, 47%). For mental health and substance use services, three classes emerged (stable-low, 69% and 61%, respectively; low-baseline-increase, 10% and 12%, respectively; high-baseline decline, 21% and 28%, respectively). Employment, gender, medication usage, and depression severity predicted membership across all services. Results underscore the importance of social workers and other community services providers aligning health services access with the needs of the CCI population, and highlight CCI adults as being at risk of underservice in critical prevention and intervention domains.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["mental health", "depression"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["Rural", "rural"], "Food": [], "HealthCareActivity": ["community services", "services", "prevention", "intervention domains", "health services", "Behavioral Health Services", "medical services", "behavioral health services"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["users"], "ProfessionalOrOccupationalGroup": ["providers", "social workers"], "ResearchActivity": ["LCGA", "latent class growth analysis"], "SpatialConcept": ["trajectories", "Trajectories"], "Virus": []}