ArticleJournal of the Endocrine Society2024
Decadal Trends in the Prevalence of Metabolic Syndrome in Economically Developed Regions in China.
Article in Journal of the Endocrine Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Burden trends and disparities of metabolic risk-attributable peripheral arterial disease in China (1990-2035): a comparative analysis with G20 countries.International journal of public health · 2026Article
- Construction and validation of a risk prediction model for metabolic syndrome: a cross-sectional study based on randomized sampling.Frontiers in endocrinology · 2025Article
- Machine Learning-Driven Metabolic Syndrome Prediction: An International Cohort Validation Study.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To estimate decadal trends in the prevalence of metabolic syndrome (MetS) in economically developed regions in China and its association with city economic levels. Methods: Using a comprehensive Chinese healthcare database, repeated cross-sectional studies were conducted on adults who had annual health check-ups from 2012 to 2021 in 4 economically developed cities. MetS was defined by the criteria of the Chinese Diabetes Society in 2013. The crude prevalence of MetS adjusted for sex and age was reported. The association between prevalence, calendar year, and city gross domestic product (GDP) per capita was analyzed by regression model. Results: 158 274 participants aged 18 years and older were included. The unadjusted prevalence of MetS increased from 15.5% (95% CI: 14.2%-16.8%) to 20.0% (95% CI: 19.5%-20.5%) from 2012 to 2021. The adjusted overall prevalence has increased steadily from 12.8% to 20.8% after controlling age and sex ( Conclusion: The MetS prevalence increased steadily in the economically developed regions in China among the health check-up population during 2012-2021. The MetS prevalence is shown to be negatively associated with GDP per capita in the study population.
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