Replication Data for: Impact of neighbourhood-level socioeconomic status, traditional coronary risk factors, and ancestry on age at myocardial infarction onset: A population-based register study
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains the data on which the conclusions of the study 'Impact of neighbourhood-level socioeconomic status, traditional coronary risk factors, and ancestry on age at myocardial infarction onset: A population-based register study' rely. We collected data registered in the Norwegian Myocardial Infarction Register for all patients admitted to Diakonhjemmet Hospital with a non-ST elevation myocardial infarction (NSTEMI) in 2014-2017 (n=840). Using the patients' registered postal codes, we identified in which city district in Oslo, Norway the patients were residing. Patients from districts other than Frogner, Vestre Aker, Ullern, Stovner, Grorud, and Alna were excluded (n=60), and the remaining patients were grouped according to whether they were residing in the western (high neighbourhood-level socioeconomic status (SES)) or' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Acute myocardial infarction","Ancestry","Coronary risk factors","Ethnicity","Non-ST-elevation myocardial infarction","Socioeconomic disadvantage","Socioeconomic status"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains the data on which the conclusions of the study 'Impact of neighbourhood-level socioeconomic status, traditional coronary risk factors, and ancestry on age at myocardial infarction onset: A population-based register study' rely. We collected data registered in the Norwegian Myocardial Infarction Register for all patients admitted to Diakonhjemmet Hospital with a non-ST elevation myocardial infarction (NSTEMI) in 2014-2017 (n=840). Using the patients' registered postal codes, we identified in which city district in Oslo, Norway the patients were residing. Patients from districts other than Frogner, Vestre Aker, Ullern, Stovner, Grorud, and Alna were excluded (n=60), and the remaining patients were grouped according to whether they were residing in the western (high neighbourhood-level socioeconomic status (SES)) or' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains the data on which the conclusions of the study 'Impact of neighbourhood-level socioeconomic status, traditional coronary risk factors, and ancestry on age at myocardial infarction onset: A population-based register study' rely. We collected data registered in the Norwegian Myocardial Infarction Register for all patients admitted to Diakonhjemmet Hospital with a non-ST elevation myocardial infarction (NSTEMI) in 2014-2017 (n=840). Using the patients' registered postal codes, we identified in which city district in Oslo, Norway the patients were residing. Patients from districts other than Frogner, Vestre Aker, Ullern, Stovner, Grorud, and Alna were excluded (n=60), and the remaining patients were grouped according to whether they were residing in the western (high neighbourhood-level socioeconomic status (SES)) or
Acute myocardial infarction; Ancestry; Coronary risk factors; Ethnicity; Non-ST-elevation myocardial infarction; Socioeconomic disadvantage; Socioeconomic status