Loading…
Ideal cardiovascular health and risk of death in a large Swedish cohort
Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a...
Saved in:
Published in: | BMC public health 2024-02, Vol.24 (1), p.358-358, Article 358 |
---|---|
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-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853 |
---|---|
cites | cdi_FETCH-LOGICAL-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853 |
container_end_page | 358 |
container_issue | 1 |
container_start_page | 358 |
container_title | BMC public health |
container_volume | 24 |
creator | Ding, Lijie Ponzano, Marta Grotta, Alessandra Adami, Hans-Olov Xue, Fuzhong Lagerros, Ylva Trolle Bellocco, Rino Ye, Weimin |
description | Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort.
A total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death.
Compared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males.
The strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion. |
doi_str_mv | 10.1186/s12889-024-17885-4 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_db2052dcfedd48e19a6b002e64bb20d0</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A782198491</galeid><doaj_id>oai_doaj_org_article_db2052dcfedd48e19a6b002e64bb20d0</doaj_id><sourcerecordid>A782198491</sourcerecordid><originalsourceid>FETCH-LOGICAL-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853</originalsourceid><addsrcrecordid>eNp1kktv1DAUhSMEoqXwB1ggS2xYkGLfOI69HJVSRqrEgsfWcuybGU8z8WAnVPz7OjNDoQhkRY6Ov3PkxymKl4yeMybFu8RASlVS4CVrpKxL_qg4ZbxhJfBaPv7j_6R4ltKG0ozV8LQ4qWRFZQXNaXG1dGh6Yk10PvwwyU69iWSdtXFNzOBI9OmGhI5kLCt-IIZkYoXk8y06n9bEhnWI4_PiSWf6hC-O81nx9cPll4uP5fWnq-XF4rq0oqrGEp2VXdOwprXQGgWOCgCraI1CoUXoWtVQxZBbVJWVtOJKIDDDayuBy7o6K5aHXBfMRu-i35r4Uwfj9V4IcaVNHL3tUbsWaA3Odugcl8iUES2lgIK3ecXRnKUOWekWd1P7IG0Xg9NH_cbPn06oWc0VVCAge9_-1_vef1vsd5ImDSAUFxl_c8Bz7vcJ06i3PlnsezNgmJIGBcDzawmW0dd_oZswxSFf6kzVgtb57X9TK5OP6ocujNHYOVQvGglMSa7mrPN_UHk43HobBux81h8Y4GCwMaQUsbs_GKN6Lp0-lE7n0ul96TTPplfHHU_tFt295VfLqjsS5M93</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2925605186</pqid></control><display><type>article</type><title>Ideal cardiovascular health and risk of death in a large Swedish cohort</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Ding, Lijie ; Ponzano, Marta ; Grotta, Alessandra ; Adami, Hans-Olov ; Xue, Fuzhong ; Lagerros, Ylva Trolle ; Bellocco, Rino ; Ye, Weimin</creator><creatorcontrib>Ding, Lijie ; Ponzano, Marta ; Grotta, Alessandra ; Adami, Hans-Olov ; Xue, Fuzhong ; Lagerros, Ylva Trolle ; Bellocco, Rino ; Ye, Weimin</creatorcontrib><description>Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort.
A total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death.
Compared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males.
The strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-024-17885-4</identifier><identifier>PMID: 38308327</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Age ; Alcohol ; Blood pressure ; Body mass ; Body mass index ; Body size ; Cancer ; Cardiovascular diseases ; Chronic illnesses ; Cohort studies ; Death ; Diabetes ; Diabetes mellitus ; Diet ; Disease prevention ; Dyslipidemia ; Education ; Emigration ; Exercise ; Health promotion ; Hypertension ; Ideal cardiovascular health ; Lipids ; Medicin och hälsovetenskap ; Mortality ; Nutrition research ; Patient outcomes ; Physical activity ; Prevention ; Questionnaires ; Regression analysis ; Regression models ; Risk assessment ; Risk factors ; Self report ; Sensitivity analysis ; Sex differences ; Statistical analysis ; Sweden ; Variables</subject><ispartof>BMC public health, 2024-02, Vol.24 (1), p.358-358, Article 358</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853</citedby><cites>FETCH-LOGICAL-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2925605186?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,37013,44590</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38308327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-226946$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:154923262$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Lijie</creatorcontrib><creatorcontrib>Ponzano, Marta</creatorcontrib><creatorcontrib>Grotta, Alessandra</creatorcontrib><creatorcontrib>Adami, Hans-Olov</creatorcontrib><creatorcontrib>Xue, Fuzhong</creatorcontrib><creatorcontrib>Lagerros, Ylva Trolle</creatorcontrib><creatorcontrib>Bellocco, Rino</creatorcontrib><creatorcontrib>Ye, Weimin</creatorcontrib><title>Ideal cardiovascular health and risk of death in a large Swedish cohort</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort.
A total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death.
Compared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males.
The strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion.</description><subject>Age</subject><subject>Alcohol</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cancer</subject><subject>Cardiovascular diseases</subject><subject>Chronic illnesses</subject><subject>Cohort studies</subject><subject>Death</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diet</subject><subject>Disease prevention</subject><subject>Dyslipidemia</subject><subject>Education</subject><subject>Emigration</subject><subject>Exercise</subject><subject>Health promotion</subject><subject>Hypertension</subject><subject>Ideal cardiovascular health</subject><subject>Lipids</subject><subject>Medicin och hälsovetenskap</subject><subject>Mortality</subject><subject>Nutrition research</subject><subject>Patient outcomes</subject><subject>Physical activity</subject><subject>Prevention</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Self report</subject><subject>Sensitivity analysis</subject><subject>Sex differences</subject><subject>Statistical analysis</subject><subject>Sweden</subject><subject>Variables</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kktv1DAUhSMEoqXwB1ggS2xYkGLfOI69HJVSRqrEgsfWcuybGU8z8WAnVPz7OjNDoQhkRY6Ov3PkxymKl4yeMybFu8RASlVS4CVrpKxL_qg4ZbxhJfBaPv7j_6R4ltKG0ozV8LQ4qWRFZQXNaXG1dGh6Yk10PvwwyU69iWSdtXFNzOBI9OmGhI5kLCt-IIZkYoXk8y06n9bEhnWI4_PiSWf6hC-O81nx9cPll4uP5fWnq-XF4rq0oqrGEp2VXdOwprXQGgWOCgCraI1CoUXoWtVQxZBbVJWVtOJKIDDDayuBy7o6K5aHXBfMRu-i35r4Uwfj9V4IcaVNHL3tUbsWaA3Odugcl8iUES2lgIK3ecXRnKUOWekWd1P7IG0Xg9NH_cbPn06oWc0VVCAge9_-1_vef1vsd5ImDSAUFxl_c8Bz7vcJ06i3PlnsezNgmJIGBcDzawmW0dd_oZswxSFf6kzVgtb57X9TK5OP6ocujNHYOVQvGglMSa7mrPN_UHk43HobBux81h8Y4GCwMaQUsbs_GKN6Lp0-lE7n0ul96TTPplfHHU_tFt295VfLqjsS5M93</recordid><startdate>20240202</startdate><enddate>20240202</enddate><creator>Ding, Lijie</creator><creator>Ponzano, Marta</creator><creator>Grotta, Alessandra</creator><creator>Adami, Hans-Olov</creator><creator>Xue, Fuzhong</creator><creator>Lagerros, Ylva Trolle</creator><creator>Bellocco, Rino</creator><creator>Ye, Weimin</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>ABAVF</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DG7</scope><scope>ZZAVC</scope><scope>DOA</scope></search><sort><creationdate>20240202</creationdate><title>Ideal cardiovascular health and risk of death in a large Swedish cohort</title><author>Ding, Lijie ; Ponzano, Marta ; Grotta, Alessandra ; Adami, Hans-Olov ; Xue, Fuzhong ; Lagerros, Ylva Trolle ; Bellocco, Rino ; Ye, Weimin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age</topic><topic>Alcohol</topic><topic>Blood pressure</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cancer</topic><topic>Cardiovascular diseases</topic><topic>Chronic illnesses</topic><topic>Cohort studies</topic><topic>Death</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diet</topic><topic>Disease prevention</topic><topic>Dyslipidemia</topic><topic>Education</topic><topic>Emigration</topic><topic>Exercise</topic><topic>Health promotion</topic><topic>Hypertension</topic><topic>Ideal cardiovascular health</topic><topic>Lipids</topic><topic>Medicin och hälsovetenskap</topic><topic>Mortality</topic><topic>Nutrition research</topic><topic>Patient outcomes</topic><topic>Physical activity</topic><topic>Prevention</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Self report</topic><topic>Sensitivity analysis</topic><topic>Sex differences</topic><topic>Statistical analysis</topic><topic>Sweden</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Lijie</creatorcontrib><creatorcontrib>Ponzano, Marta</creatorcontrib><creatorcontrib>Grotta, Alessandra</creatorcontrib><creatorcontrib>Adami, Hans-Olov</creatorcontrib><creatorcontrib>Xue, Fuzhong</creatorcontrib><creatorcontrib>Lagerros, Ylva Trolle</creatorcontrib><creatorcontrib>Bellocco, Rino</creatorcontrib><creatorcontrib>Ye, Weimin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>SWEPUB Stockholms universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Stockholms universitet</collection><collection>SwePub Articles full text</collection><collection>Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, Lijie</au><au>Ponzano, Marta</au><au>Grotta, Alessandra</au><au>Adami, Hans-Olov</au><au>Xue, Fuzhong</au><au>Lagerros, Ylva Trolle</au><au>Bellocco, Rino</au><au>Ye, Weimin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ideal cardiovascular health and risk of death in a large Swedish cohort</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2024-02-02</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>358</spage><epage>358</epage><pages>358-358</pages><artnum>358</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort.
A total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death.
Compared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males.
The strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38308327</pmid><doi>10.1186/s12889-024-17885-4</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1471-2458 |
ispartof | BMC public health, 2024-02, Vol.24 (1), p.358-358, Article 358 |
issn | 1471-2458 1471-2458 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_db2052dcfedd48e19a6b002e64bb20d0 |
source | Publicly Available Content Database; PubMed Central |
subjects | Age Alcohol Blood pressure Body mass Body mass index Body size Cancer Cardiovascular diseases Chronic illnesses Cohort studies Death Diabetes Diabetes mellitus Diet Disease prevention Dyslipidemia Education Emigration Exercise Health promotion Hypertension Ideal cardiovascular health Lipids Medicin och hälsovetenskap Mortality Nutrition research Patient outcomes Physical activity Prevention Questionnaires Regression analysis Regression models Risk assessment Risk factors Self report Sensitivity analysis Sex differences Statistical analysis Sweden Variables |
title | Ideal cardiovascular health and risk of death in a large Swedish cohort |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T14%3A56%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ideal%20cardiovascular%20health%20and%20risk%20of%20death%20in%20a%20large%20Swedish%20cohort&rft.jtitle=BMC%20public%20health&rft.au=Ding,%20Lijie&rft.date=2024-02-02&rft.volume=24&rft.issue=1&rft.spage=358&rft.epage=358&rft.pages=358-358&rft.artnum=358&rft.issn=1471-2458&rft.eissn=1471-2458&rft_id=info:doi/10.1186/s12889-024-17885-4&rft_dat=%3Cgale_doaj_%3EA782198491%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c633t-edc8f7717bc2ba92d0622c905e69ece2fb97091e4ce93c803496e21a45c824853%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2925605186&rft_id=info:pmid/38308327&rft_galeid=A782198491&rfr_iscdi=true |