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