Loading…
Continuous metabolic syndrome severity score and the risk of CVD and all‐cause mortality
Background The dualistic diagnostic criteria for metabolic syndrome overlooked the severity of metabolic syndrome, and the relationships between the severity of metabolic syndrome and adverse health conditions are poorly characterized. We therefore aimed to investigate the associations of metabolic...
Saved in:
Published in: | European journal of clinical investigation 2022-09, Vol.52 (9), p.e13817-n/a |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443 |
---|---|
cites | cdi_FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443 |
container_end_page | n/a |
container_issue | 9 |
container_start_page | e13817 |
container_title | European journal of clinical investigation |
container_volume | 52 |
creator | Tang, Xiaoya Wu, Mingyang Wu, Shouling Tian, Yaohua |
description | Background
The dualistic diagnostic criteria for metabolic syndrome overlooked the severity of metabolic syndrome, and the relationships between the severity of metabolic syndrome and adverse health conditions are poorly characterized. We therefore aimed to investigate the associations of metabolic syndrome severity with incident cardiovascular disease (CVD)/all‐cause mortality.
Methods
A total of 116,772 participants from the Kailuan study were followed up biennially between 2006 and 2018. The severity of metabolic syndrome was evaluated using a continuous metabolic syndrome severity score (MetS score). Cox proportional hazards model was used to examine the association between MetS score and the risk of CVD and all‐cause mortality. Restricted cubic spline analyses were performed to explore the dose–response associations.
Results
We found that the risk of CVD and all‐cause mortality increased consistently with the MetS score. In the multivariable‐adjusted model, the hazard ratios of CVD and all‐cause mortality were 2.05 (95% CI 1.86–2.25) and 1.45 (95% CI 1.35–1.56), respectively, in those subjects>75th percentile compared with those |
doi_str_mv | 10.1111/eci.13817 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2667787091</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2667787091</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443</originalsourceid><addsrcrecordid>eNp1kM1O3DAQx62qqCy0h75AZYlLOWTxR_yRY5UudCUkLtBDL5bjTNTQJKZ2QpVbH4Fn5EnwbigHpM5lpNFvfpr5I_SRkjVNdQauXVOuqXqDVpRLkTEu2Vu0IoTmGSsUO0RHMd4SQjTl7B065EIUCZcr9KP0w9gOk58i7mG0le9ah-M81MH3gCPcQ2jHGUfnA2A71Hj8CTi08Rf2DS6_f93PbNc9_n1wdoqAex9G26Wd9-igsV2ED8_9GN2cb67Lb9nl1cW2_HKZOS64ymQNtmEil6oGXjW6YdwVNheNJLTQULma1URUrNFO6loQWfCK65woC9rlec6P0efFexf87wniaPo2Oug6O0B6yzApldKKFDShJ6_QWz-FIV1nmCKskIqLnfB0oVzwMQZozF1oextmQ4nZBW5S4GYfeGI_PRunqof6hfyXcALOFuBP28H8f5PZlNtF-QRTtIpi</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2702967354</pqid></control><display><type>article</type><title>Continuous metabolic syndrome severity score and the risk of CVD and all‐cause mortality</title><source>Wiley</source><creator>Tang, Xiaoya ; Wu, Mingyang ; Wu, Shouling ; Tian, Yaohua</creator><creatorcontrib>Tang, Xiaoya ; Wu, Mingyang ; Wu, Shouling ; Tian, Yaohua</creatorcontrib><description>Background
The dualistic diagnostic criteria for metabolic syndrome overlooked the severity of metabolic syndrome, and the relationships between the severity of metabolic syndrome and adverse health conditions are poorly characterized. We therefore aimed to investigate the associations of metabolic syndrome severity with incident cardiovascular disease (CVD)/all‐cause mortality.
Methods
A total of 116,772 participants from the Kailuan study were followed up biennially between 2006 and 2018. The severity of metabolic syndrome was evaluated using a continuous metabolic syndrome severity score (MetS score). Cox proportional hazards model was used to examine the association between MetS score and the risk of CVD and all‐cause mortality. Restricted cubic spline analyses were performed to explore the dose–response associations.
Results
We found that the risk of CVD and all‐cause mortality increased consistently with the MetS score. In the multivariable‐adjusted model, the hazard ratios of CVD and all‐cause mortality were 2.05 (95% CI 1.86–2.25) and 1.45 (95% CI 1.35–1.56), respectively, in those subjects>75th percentile compared with those <25th percentile. Additionally, a J‐shaped dose–response relationship was found between MetS score and the risk of all‐cause mortality (pnonlinearity <.001), while a linear relationship between MetS score and the risk of CVD was observed in this study (pnonlinearity = .737).
Conclusions
This study suggests significant dose–response relationships between MetS score and the risk of CVD/mortality. Subjects without metabolic syndrome but with a relatively high MetS score should raise their awareness and pay more attention to the possible increased risk of CVD events.</description><identifier>ISSN: 0014-2972</identifier><identifier>EISSN: 1365-2362</identifier><identifier>DOI: 10.1111/eci.13817</identifier><identifier>PMID: 35598176</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>all‐cause mortality ; cardiovascular disease ; Cardiovascular diseases ; Cohort analysis ; cohort study ; Health hazards ; Heart diseases ; Metabolic disorders ; Metabolic syndrome ; metabolic syndrome severity ; Mortality ; Risk ; Statistical models</subject><ispartof>European journal of clinical investigation, 2022-09, Vol.52 (9), p.e13817-n/a</ispartof><rights>2022 Stichting European Society for Clinical Investigation Journal Foundation. Published by John Wiley & Sons Ltd.</rights><rights>This article is protected by copyright. All rights reserved.</rights><rights>Copyright © 2022 Stichting European Society for Clinical Investigation Journal Foundation</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443</citedby><cites>FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443</cites><orcidid>0000-0002-9853-6991</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35598176$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tang, Xiaoya</creatorcontrib><creatorcontrib>Wu, Mingyang</creatorcontrib><creatorcontrib>Wu, Shouling</creatorcontrib><creatorcontrib>Tian, Yaohua</creatorcontrib><title>Continuous metabolic syndrome severity score and the risk of CVD and all‐cause mortality</title><title>European journal of clinical investigation</title><addtitle>Eur J Clin Invest</addtitle><description>Background
The dualistic diagnostic criteria for metabolic syndrome overlooked the severity of metabolic syndrome, and the relationships between the severity of metabolic syndrome and adverse health conditions are poorly characterized. We therefore aimed to investigate the associations of metabolic syndrome severity with incident cardiovascular disease (CVD)/all‐cause mortality.
Methods
A total of 116,772 participants from the Kailuan study were followed up biennially between 2006 and 2018. The severity of metabolic syndrome was evaluated using a continuous metabolic syndrome severity score (MetS score). Cox proportional hazards model was used to examine the association between MetS score and the risk of CVD and all‐cause mortality. Restricted cubic spline analyses were performed to explore the dose–response associations.
Results
We found that the risk of CVD and all‐cause mortality increased consistently with the MetS score. In the multivariable‐adjusted model, the hazard ratios of CVD and all‐cause mortality were 2.05 (95% CI 1.86–2.25) and 1.45 (95% CI 1.35–1.56), respectively, in those subjects>75th percentile compared with those <25th percentile. Additionally, a J‐shaped dose–response relationship was found between MetS score and the risk of all‐cause mortality (pnonlinearity <.001), while a linear relationship between MetS score and the risk of CVD was observed in this study (pnonlinearity = .737).
Conclusions
This study suggests significant dose–response relationships between MetS score and the risk of CVD/mortality. Subjects without metabolic syndrome but with a relatively high MetS score should raise their awareness and pay more attention to the possible increased risk of CVD events.</description><subject>all‐cause mortality</subject><subject>cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cohort analysis</subject><subject>cohort study</subject><subject>Health hazards</subject><subject>Heart diseases</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>metabolic syndrome severity</subject><subject>Mortality</subject><subject>Risk</subject><subject>Statistical models</subject><issn>0014-2972</issn><issn>1365-2362</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kM1O3DAQx62qqCy0h75AZYlLOWTxR_yRY5UudCUkLtBDL5bjTNTQJKZ2QpVbH4Fn5EnwbigHpM5lpNFvfpr5I_SRkjVNdQauXVOuqXqDVpRLkTEu2Vu0IoTmGSsUO0RHMd4SQjTl7B065EIUCZcr9KP0w9gOk58i7mG0le9ah-M81MH3gCPcQ2jHGUfnA2A71Hj8CTi08Rf2DS6_f93PbNc9_n1wdoqAex9G26Wd9-igsV2ED8_9GN2cb67Lb9nl1cW2_HKZOS64ymQNtmEil6oGXjW6YdwVNheNJLTQULma1URUrNFO6loQWfCK65woC9rlec6P0efFexf87wniaPo2Oug6O0B6yzApldKKFDShJ6_QWz-FIV1nmCKskIqLnfB0oVzwMQZozF1oextmQ4nZBW5S4GYfeGI_PRunqof6hfyXcALOFuBP28H8f5PZlNtF-QRTtIpi</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Tang, Xiaoya</creator><creator>Wu, Mingyang</creator><creator>Wu, Shouling</creator><creator>Tian, Yaohua</creator><general>Blackwell Publishing Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9853-6991</orcidid></search><sort><creationdate>202209</creationdate><title>Continuous metabolic syndrome severity score and the risk of CVD and all‐cause mortality</title><author>Tang, Xiaoya ; Wu, Mingyang ; Wu, Shouling ; Tian, Yaohua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>all‐cause mortality</topic><topic>cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cohort analysis</topic><topic>cohort study</topic><topic>Health hazards</topic><topic>Heart diseases</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>metabolic syndrome severity</topic><topic>Mortality</topic><topic>Risk</topic><topic>Statistical models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Xiaoya</creatorcontrib><creatorcontrib>Wu, Mingyang</creatorcontrib><creatorcontrib>Wu, Shouling</creatorcontrib><creatorcontrib>Tian, Yaohua</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical investigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Xiaoya</au><au>Wu, Mingyang</au><au>Wu, Shouling</au><au>Tian, Yaohua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Continuous metabolic syndrome severity score and the risk of CVD and all‐cause mortality</atitle><jtitle>European journal of clinical investigation</jtitle><addtitle>Eur J Clin Invest</addtitle><date>2022-09</date><risdate>2022</risdate><volume>52</volume><issue>9</issue><spage>e13817</spage><epage>n/a</epage><pages>e13817-n/a</pages><issn>0014-2972</issn><eissn>1365-2362</eissn><abstract>Background
The dualistic diagnostic criteria for metabolic syndrome overlooked the severity of metabolic syndrome, and the relationships between the severity of metabolic syndrome and adverse health conditions are poorly characterized. We therefore aimed to investigate the associations of metabolic syndrome severity with incident cardiovascular disease (CVD)/all‐cause mortality.
Methods
A total of 116,772 participants from the Kailuan study were followed up biennially between 2006 and 2018. The severity of metabolic syndrome was evaluated using a continuous metabolic syndrome severity score (MetS score). Cox proportional hazards model was used to examine the association between MetS score and the risk of CVD and all‐cause mortality. Restricted cubic spline analyses were performed to explore the dose–response associations.
Results
We found that the risk of CVD and all‐cause mortality increased consistently with the MetS score. In the multivariable‐adjusted model, the hazard ratios of CVD and all‐cause mortality were 2.05 (95% CI 1.86–2.25) and 1.45 (95% CI 1.35–1.56), respectively, in those subjects>75th percentile compared with those <25th percentile. Additionally, a J‐shaped dose–response relationship was found between MetS score and the risk of all‐cause mortality (pnonlinearity <.001), while a linear relationship between MetS score and the risk of CVD was observed in this study (pnonlinearity = .737).
Conclusions
This study suggests significant dose–response relationships between MetS score and the risk of CVD/mortality. Subjects without metabolic syndrome but with a relatively high MetS score should raise their awareness and pay more attention to the possible increased risk of CVD events.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>35598176</pmid><doi>10.1111/eci.13817</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-9853-6991</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0014-2972 |
ispartof | European journal of clinical investigation, 2022-09, Vol.52 (9), p.e13817-n/a |
issn | 0014-2972 1365-2362 |
language | eng |
recordid | cdi_proquest_miscellaneous_2667787091 |
source | Wiley |
subjects | all‐cause mortality cardiovascular disease Cardiovascular diseases Cohort analysis cohort study Health hazards Heart diseases Metabolic disorders Metabolic syndrome metabolic syndrome severity Mortality Risk Statistical models |
title | Continuous metabolic syndrome severity score and the risk of CVD and all‐cause mortality |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T20%3A26%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Continuous%20metabolic%20syndrome%20severity%20score%20and%20the%20risk%20of%20CVD%20and%20all%E2%80%90cause%20mortality&rft.jtitle=European%20journal%20of%20clinical%20investigation&rft.au=Tang,%20Xiaoya&rft.date=2022-09&rft.volume=52&rft.issue=9&rft.spage=e13817&rft.epage=n/a&rft.pages=e13817-n/a&rft.issn=0014-2972&rft.eissn=1365-2362&rft_id=info:doi/10.1111/eci.13817&rft_dat=%3Cproquest_cross%3E2667787091%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3537-6deaf25467de3bf8f23c9a45f60198ebcd2d05b2f8c68d50693b38407ae8c4443%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2702967354&rft_id=info:pmid/35598176&rfr_iscdi=true |