Temporal trends in the prevalence of metabolic syndrome among middle-aged and elderly adults from 2011 to 2015 in China: The China Health and Retirement Longitudinal Study (CHARLS)
<|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:'AbstractBackground: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases. The objective of the study was to evaluate the updated prevalence of MetS and provide a comprehensive illustration of the possible temporal changes in MetS prevalence in China from 2011 to 2015.Methods: The data for this study are from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). CHARLS is a nationally representative survey targeting populations aged 45 and above from 28 provinces in mainland China. A total of 11847 and 13013 participants were eligible for data analysis at the two time points.Results: The estimated prevalence of MetS in 2015 was 20.41% (95% CI: 19.02%-21.8%) by the ATP III criteria, 34.77% (95% CI: 33.12%-36.42%) by the International Diabetes Federation (IDF) criteria, 39.68% (95' . 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" : ["Metabolic syndrome","Prevalence","Trends","Epidemiology","China"]} <|eot_id|>
 Here is the Description of a dataset. Description:'AbstractBackground: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases. The objective of the study was to evaluate the updated prevalence of MetS and provide a comprehensive illustration of the possible temporal changes in MetS prevalence in China from 2011 to 2015.Methods: The data for this study are from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). CHARLS is a nationally representative survey targeting populations aged 45 and above from 28 provinces in mainland China. A total of 11847 and 13013 participants were eligible for data analysis at the two time points.Results: The estimated prevalence of MetS in 2015 was 20.41% (95% CI: 19.02%-21.8%) by the ATP III criteria, 34.77% (95% CI: 33.12%-36.42%) by the International Diabetes Federation (IDF) criteria, 39.68% (95' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
AbstractBackground: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases. The objective of the study was to evaluate the updated prevalence of MetS and provide a comprehensive illustration of the possible temporal changes in MetS prevalence in China from 2011 to 2015.Methods: The data for this study are from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). CHARLS is a nationally representative survey targeting populations aged 45 and above from 28 provinces in mainland China. A total of 11847 and 13013 participants were eligible for data analysis at the two time points.Results: The estimated prevalence of MetS in 2015 was 20.41% (95% CI: 19.02%-21.8%) by the ATP III criteria, 34.77% (95% CI: 33.12%-36.42%) by the International Diabetes Federation (IDF) criteria, 39.68% (95
Metabolic syndrome; Prevalence; Trends; Epidemiology; China