{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Xu X"],"funding":["National Key R&amp;D Program of China","Tianfu Famous Doctor Fund"],"pagination":["e052457"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8977785"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(4)"],"pubmed_abstract":["<h4>Objectives</h4>This study explored the prevalence of and individual influencing factors for metabolic syndrome (MS) as well as associated socioeconomic factors and regional aggregation.<h4>Design</h4>Four cross-sectional surveys were analysed for trends in MS and associations with socioeconomic and individual factors through multilevel logistic regression analyses. The risk associated with nutrient intake was also assessed through a dietary survey in 2015.<h4>Setting</h4>From 2010 to 2018, 8-15 counties/districts of West China were included.<h4>Participants</h4>A total of 28 274 adults were included in the prevalence analysis. A total of 23 708 adults were used to analyse the related factors.<h4>Results</h4>The overall prevalence of MS ranged from 21.4% to 27.8% over the 8 years, remai"],"journal":["BMJ open"],"pubmed_title":["Prevalence of metabolic syndrome among the adult population in western China and the association with socioeconomic and individual factors: four cross-sectional studies."],"pmcid":["PMC8977785"],"funding_grant_id":["2018YFC1311401","N/A（The fund did not have a grant number)"],"pubmed_authors":["Zhou M","Dong T","Zhang L","Zhou X","Cheng S","Yang W","Li Y","Zhang X","Zeng J","Niu L","Xu X","Yi G","Deng Y","Wu X"],"additional_accession":[]},"is_claimable":false,"name":"Prevalence of metabolic syndrome among the adult population in western China and the association with socioeconomic and individual factors: four cross-sectional studies.","description":"<h4>Objectives</h4>This study explored the prevalence of and individual influencing factors for metabolic syndrome (MS) as well as associated socioeconomic factors and regional aggregation.<h4>Design</h4>Four cross-sectional surveys were analysed for trends in MS and associations with socioeconomic and individual factors through multilevel logistic regression analyses. The risk associated with nutrient intake was also assessed through a dietary survey in 2015.<h4>Setting</h4>From 2010 to 2018, 8-15 counties/districts of West China were included.<h4>Participants</h4>A total of 28 274 adults were included in the prevalence analysis. A total of 23 708 adults were used to analyse the related factors.<h4>Results</h4>The overall prevalence of MS ranged from 21.4% to 27.8% over the 8 years, remai","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2026-03-13T10:20:03.312Z","creation":"2025-04-25T18:04:21.953Z"},"accession":"S-EPMC8977785","cross_references":{"pubmed":["35365515"],"doi":["10.1136/bmjopen-2021-052457"]}}