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:

Social capital and healthy ageing in Indonesia A large international literature has found a positive association between social capital and measures of physical and mental health. However, there is a paucity of research on the links between social capital and healthy ageing in a developing country environment, where universal social security coverage is absent and health infrastructure is poor. In this paper, we develop and empirically test a model of the linkages between social capital and the health outcomes for older adults in Indonesia, using data from the Indonesian Family Life Survey-East (IFLS-East), conducted in 2012. Using multivariate regression analysis, we examine whether social capital plays a role in mitigating poor health among older individuals aged 50 years and above in Indonesia 's most vulnerable provinces. We test the robustness of these social capital variables across different health measures (self-assessed health, Activities of Daily Living (ADL), measures of chronic illness and mental health measures), as well as across different demographic groups, after controlling for an array of socio-economic, demographic and geographic characteristics. Our findings show that access to better social capital (using measures of neighbourhood trust and community participation) is associated with a higher degree of physical mobility, independence, and mental well-being among older individuals but has no influence on chronic illnesses. These results are consistent when we estimate samples disaggregated by gender, rural / urban residence, and by age categories. From a policy perspective these results point to the importance of social capital measures in moderating the influence of poor health, particularly in the Activities of Daily Living.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["chronic illnesses", "ageing", "chronic illness", "mental health", "mental well-being"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["rural", "findings", "physical", "positive"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": ["policy", "categories", "literature", "IFLS-East", "Indonesian Family Life Survey-East", "multivariate regression analysis", "linkages", "model"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["older adults", "neighbourhood", "older", "individuals"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["research"], "SpatialConcept": ["Indonesia", "residence", "geographic", "access", "array", "environment", "vulnerable provinces"], "Virus": []}