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:

Gambling disorders, gambling type preferences, and psychiatric comorbidity among the Thai general population: Results of the 2013 National Mental Health Survey Background and aims To estimate the prevalence of problem and pathological gambling, gender and age-group differences in gambling types, and comorbidities with other psychiatric disorders among the Thai general population. Methods Analysis was conducted on 4,727 participants of Thailand's 2013 National Mental Health Survey, a multistage stratified cluster survey, using the Composite International Diagnostic Interview. Diagnoses of problem and pathological gambling and other psychiatric disorders were based on the DSM-IV-TR criteria with the following additional criteria for gamblers: more than 10 lifetime gambling episodes and a single year loss of at least 365 USD from gambling. Results The estimated lifetime prevalence rates of pathological and problem gambling were 0.90% [95% confidence interval (CI): 0.51-1.29] and 1.14% (95% CI: 0.58-1.70), respectively. The most popular type of gambling was playing lotteries [69.5%, standard error (SE) = 1.9], the prevalence of which was significantly higher among females and older age groups. The most common psychiatric disorders seen among pathological gamblers were alcohol abuse (57.4%), nicotine dependence (49.5%), and any drug use disorder (16.2%). Pathological gambling was highly prevalent among those who ever experienced major depressive episodes (5.5%), any drug dependence (5.1%), and intermittent explosive disorder (4.8%). The association between pathological gambling was strongest with a history of major depressive episode [adjusted odds ratio (AOR) = 10.4, 95% CI: 2.80-38.4]. Conclusion The study confirms the recognition of gambling disorders as a public health concern in Thailand and suggests a need for culturally specific preventive measures for pathological gamblers and those with a history of substance use disorders or major depression.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["gambling disorders", "major depressive episode", "pathological gambling", "recognition", "intermittent explosive disorder", "pathological gamblers", "Gambling disorders", "drug dependence", "substance use disorders", "nicotine dependence", "major depression", "pathological", "psychiatric disorders", "Pathological gambling", "drug use disorder", "major depressive episodes", "alcohol abuse"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["Diagnoses"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": ["Composite International Diagnostic Interview", "multistage stratified cluster survey", "DSM-IV-TR criteria", "public health"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["Thai general population", "participants", "older age groups"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": ["Thailand", "Thailand\u0027s"], "Virus": []}