The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city
The American Heart Association has recently established seven ideal cardiovascular health metrics for cardiovascular health promotion and disease reduction (i.e., non-smoking, normal body mass index, physically active, healthy diet, and normal levels of cholesterol, blood pressure and fasting blood...
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description | The American Heart Association has recently established seven ideal cardiovascular health metrics for cardiovascular health promotion and disease reduction (i.e., non-smoking, normal body mass index, physically active, healthy diet, and normal levels of cholesterol, blood pressure and fasting blood glucose). The present study seeks to evaluate how well these metrics predict mortality from all causes and cardiovascular diseases in adult Chinese living in a northern industrial city.
Data of 95,429 adults who participated in the Kailuan cohort study from June 2006 to October 2007 was analyzed. All participants underwent questionnaire assessment, clinical examination, laboratory assessments and were followed up biannually. During a median follow-up of 4.02 years, 1,843 deaths occurred, with 597 deaths resulting from cardiovascular diseases. Lower mortality rates from all causes and cardiovascular diseases were observed among the subjects who met a higher number of the ideal health metrics. Compared to the participants who met none or one ideal health metric, those meeting ≥5 ideal health metrics had a lower risk of all-cause mortality by 30% (adjusted hazard ratio, 0.70; 95% confidence interval, 0.56-0.88) and a lower risk of mortality from cardiovascular diseases by 39% (adjusted hazard ratio, 0.61; 95% confidence interval, 0.41-0.89) . Four metrics (smoking status, physical activity, blood pressure and fasting blood glucose) were significantly associated with all-cause mortality. Three metrics (physical activity, blood pressure and fasting blood glucose) were significantly associated with mortality from cardiovascular diseases.
The number of ideal health metrics is negatively associated with mortality rates from all causes and cardiovascular diseases among adults in a Northern Chinese industrial city. The data supports the AHA recommendation of ideal health metrics for adults from Northern China. |
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Data of 95,429 adults who participated in the Kailuan cohort study from June 2006 to October 2007 was analyzed. All participants underwent questionnaire assessment, clinical examination, laboratory assessments and were followed up biannually. During a median follow-up of 4.02 years, 1,843 deaths occurred, with 597 deaths resulting from cardiovascular diseases. Lower mortality rates from all causes and cardiovascular diseases were observed among the subjects who met a higher number of the ideal health metrics. Compared to the participants who met none or one ideal health metric, those meeting ≥5 ideal health metrics had a lower risk of all-cause mortality by 30% (adjusted hazard ratio, 0.70; 95% confidence interval, 0.56-0.88) and a lower risk of mortality from cardiovascular diseases by 39% (adjusted hazard ratio, 0.61; 95% confidence interval, 0.41-0.89) . Four metrics (smoking status, physical activity, blood pressure and fasting blood glucose) were significantly associated with all-cause mortality. Three metrics (physical activity, blood pressure and fasting blood glucose) were significantly associated with mortality from cardiovascular diseases.
The number of ideal health metrics is negatively associated with mortality rates from all causes and cardiovascular diseases among adults in a Northern Chinese industrial city. The data supports the AHA recommendation of ideal health metrics for adults from Northern China.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0089161</identifier><identifier>PMID: 24586562</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adults ; Alcohol ; Analysis ; Asian People ; Blood ; Blood glucose ; Blood Glucose - physiology ; Blood pressure ; Blood Pressure - physiology ; Body mass ; Body mass index ; Body size ; Cardiology ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - mortality ; Cholesterol ; Cohort Studies ; Confidence intervals ; Diseases ; Exercise ; Fasting ; Fatalities ; Female ; Glucose ; Health promotion ; Health Promotion - methods ; Health risks ; Heart attacks ; Heart diseases ; Hospitals ; Humans ; Laboratories ; Life Style ; Male ; Medical research ; Medicine ; Middle Aged ; Mortality ; Mortality risk ; Motor Activity - physiology ; Nutrition research ; Physical activity ; Physical fitness ; Population ; Prognosis ; Public health ; Risk Factors ; Smoking ; Smoking - adverse effects ; Social and Behavioral Sciences ; Stroke ; Surveys</subject><ispartof>PloS one, 2014-02, Vol.9 (2), p.e89161-e89161</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Liu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Liu et al 2014 Liu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-246bad891fed7744cfcda138c30be12ecd04b434b9ce0e07234799a97b2647f13</citedby><cites>FETCH-LOGICAL-c692t-246bad891fed7744cfcda138c30be12ecd04b434b9ce0e07234799a97b2647f13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933417/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933417/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24586562$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Weili</contributor><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Chi, Hong-jie</creatorcontrib><creatorcontrib>Cui, Liu-fu</creatorcontrib><creatorcontrib>Yang, Xin-chun</creatorcontrib><creatorcontrib>Wu, Yun-tao</creatorcontrib><creatorcontrib>Huang, Zhe</creatorcontrib><creatorcontrib>Zhao, Hai-yan</creatorcontrib><creatorcontrib>Gao, Jing-sheng</creatorcontrib><creatorcontrib>Wu, Shou-ling</creatorcontrib><creatorcontrib>Cai, Jun</creatorcontrib><title>The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The American Heart Association has recently established seven ideal cardiovascular health metrics for cardiovascular health promotion and disease reduction (i.e., non-smoking, normal body mass index, physically active, healthy diet, and normal levels of cholesterol, blood pressure and fasting blood glucose). The present study seeks to evaluate how well these metrics predict mortality from all causes and cardiovascular diseases in adult Chinese living in a northern industrial city.
Data of 95,429 adults who participated in the Kailuan cohort study from June 2006 to October 2007 was analyzed. All participants underwent questionnaire assessment, clinical examination, laboratory assessments and were followed up biannually. During a median follow-up of 4.02 years, 1,843 deaths occurred, with 597 deaths resulting from cardiovascular diseases. Lower mortality rates from all causes and cardiovascular diseases were observed among the subjects who met a higher number of the ideal health metrics. Compared to the participants who met none or one ideal health metric, those meeting ≥5 ideal health metrics had a lower risk of all-cause mortality by 30% (adjusted hazard ratio, 0.70; 95% confidence interval, 0.56-0.88) and a lower risk of mortality from cardiovascular diseases by 39% (adjusted hazard ratio, 0.61; 95% confidence interval, 0.41-0.89) . Four metrics (smoking status, physical activity, blood pressure and fasting blood glucose) were significantly associated with all-cause mortality. Three metrics (physical activity, blood pressure and fasting blood glucose) were significantly associated with mortality from cardiovascular diseases.
The number of ideal health metrics is negatively associated with mortality rates from all causes and cardiovascular diseases among adults in a Northern Chinese industrial city. The data supports the AHA recommendation of ideal health metrics for adults from Northern China.</description><subject>Adults</subject><subject>Alcohol</subject><subject>Analysis</subject><subject>Asian People</subject><subject>Blood</subject><subject>Blood glucose</subject><subject>Blood Glucose - physiology</subject><subject>Blood pressure</subject><subject>Blood Pressure - physiology</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cholesterol</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Diseases</subject><subject>Exercise</subject><subject>Fasting</subject><subject>Fatalities</subject><subject>Female</subject><subject>Glucose</subject><subject>Health promotion</subject><subject>Health Promotion - methods</subject><subject>Health risks</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Life Style</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Mortality risk</subject><subject>Motor Activity - physiology</subject><subject>Nutrition research</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Population</subject><subject>Prognosis</subject><subject>Public health</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Smoking - adverse effects</subject><subject>Social and Behavioral Sciences</subject><subject>Stroke</subject><subject>Surveys</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99vFCEQxzdGY2v1PzBKYmL04U5Y2N3jxaS5-KNJYxOtvhIWZu9oWLgCW72_yn9Rtndtuk0fDA-Q4TPfGYaZonhJ8JzQhny48ENw0s433sEc4wUnNXlUHBJOy1ldYvr4zvmgeBbjBcYVXdT10-KgZNWirurysPh7vgZkNEiLlAza-CsZ1WBlQOtsS2vUQwpGRSRj9MrIBBoZdwUhgt2i32YkfEjSmrRFXfA9knaUGiJkH6d3tnvS2kSQ10Dv3QpJPdgUsyyS6FsWW0NwaLk2DmLOzekh5hTGBHOM58WTTtoIL_b7UfHz86fz5dfZ6dmXk-Xx6UzVvEyzktWt1LkmHeimYUx1SktCF4riFkgJSmPWMspargADbkrKGs4lb9qyZk1H6FHxeqe7sT6Kfa2jIBXOZaYNbzJxsiO0lxdiE0wvw1Z4acS1wYeVkCEZZUGA5nnVvKtoy9q6bBcqf0DJadW1TJc6a33cRxvaHrQCl4K0E9HpjTNrsfJXgnJKGRmTebcXCP5ygJhEb6ICa6UDP1znzUhFOasy-uYe-vDr9tRK5gcY1_kcV42i4pg1i4YzUuNMzR-g8tLQG5UbszPZPnF4P3HITII_aZX7JYqTH9__nz37NWXf3mF3rRu9HZLxLk5BtgNV8DEG6G6LTLAY5-qmGmKcK7Gfq-z26u4H3TrdDBL9B_NPIi4</recordid><startdate>20140224</startdate><enddate>20140224</enddate><creator>Liu, Yan</creator><creator>Chi, Hong-jie</creator><creator>Cui, Liu-fu</creator><creator>Yang, Xin-chun</creator><creator>Wu, Yun-tao</creator><creator>Huang, Zhe</creator><creator>Zhao, Hai-yan</creator><creator>Gao, Jing-sheng</creator><creator>Wu, Shou-ling</creator><creator>Cai, Jun</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140224</creationdate><title>The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city</title><author>Liu, Yan ; Chi, Hong-jie ; Cui, Liu-fu ; Yang, Xin-chun ; Wu, Yun-tao ; Huang, Zhe ; Zhao, Hai-yan ; Gao, Jing-sheng ; Wu, Shou-ling ; Cai, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-246bad891fed7744cfcda138c30be12ecd04b434b9ce0e07234799a97b2647f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adults</topic><topic>Alcohol</topic><topic>Analysis</topic><topic>Asian People</topic><topic>Blood</topic><topic>Blood glucose</topic><topic>Blood Glucose - physiology</topic><topic>Blood pressure</topic><topic>Blood Pressure - physiology</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cholesterol</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Diseases</topic><topic>Exercise</topic><topic>Fasting</topic><topic>Fatalities</topic><topic>Female</topic><topic>Glucose</topic><topic>Health promotion</topic><topic>Health Promotion - methods</topic><topic>Health risks</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Life Style</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Mortality risk</topic><topic>Motor Activity - physiology</topic><topic>Nutrition research</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Population</topic><topic>Prognosis</topic><topic>Public health</topic><topic>Risk Factors</topic><topic>Smoking</topic><topic>Smoking - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yan</au><au>Chi, Hong-jie</au><au>Cui, Liu-fu</au><au>Yang, Xin-chun</au><au>Wu, Yun-tao</au><au>Huang, Zhe</au><au>Zhao, Hai-yan</au><au>Gao, Jing-sheng</au><au>Wu, Shou-ling</au><au>Cai, Jun</au><au>Zhang, Weili</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-02-24</date><risdate>2014</risdate><volume>9</volume><issue>2</issue><spage>e89161</spage><epage>e89161</epage><pages>e89161-e89161</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The American Heart Association has recently established seven ideal cardiovascular health metrics for cardiovascular health promotion and disease reduction (i.e., non-smoking, normal body mass index, physically active, healthy diet, and normal levels of cholesterol, blood pressure and fasting blood glucose). The present study seeks to evaluate how well these metrics predict mortality from all causes and cardiovascular diseases in adult Chinese living in a northern industrial city.
Data of 95,429 adults who participated in the Kailuan cohort study from June 2006 to October 2007 was analyzed. All participants underwent questionnaire assessment, clinical examination, laboratory assessments and were followed up biannually. During a median follow-up of 4.02 years, 1,843 deaths occurred, with 597 deaths resulting from cardiovascular diseases. Lower mortality rates from all causes and cardiovascular diseases were observed among the subjects who met a higher number of the ideal health metrics. Compared to the participants who met none or one ideal health metric, those meeting ≥5 ideal health metrics had a lower risk of all-cause mortality by 30% (adjusted hazard ratio, 0.70; 95% confidence interval, 0.56-0.88) and a lower risk of mortality from cardiovascular diseases by 39% (adjusted hazard ratio, 0.61; 95% confidence interval, 0.41-0.89) . Four metrics (smoking status, physical activity, blood pressure and fasting blood glucose) were significantly associated with all-cause mortality. Three metrics (physical activity, blood pressure and fasting blood glucose) were significantly associated with mortality from cardiovascular diseases.
The number of ideal health metrics is negatively associated with mortality rates from all causes and cardiovascular diseases among adults in a Northern Chinese industrial city. The data supports the AHA recommendation of ideal health metrics for adults from Northern China.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24586562</pmid><doi>10.1371/journal.pone.0089161</doi><tpages>e89161</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adults Alcohol Analysis Asian People Blood Blood glucose Blood Glucose - physiology Blood pressure Blood Pressure - physiology Body mass Body mass index Body size Cardiology Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - mortality Cholesterol Cohort Studies Confidence intervals Diseases Exercise Fasting Fatalities Female Glucose Health promotion Health Promotion - methods Health risks Heart attacks Heart diseases Hospitals Humans Laboratories Life Style Male Medical research Medicine Middle Aged Mortality Mortality risk Motor Activity - physiology Nutrition research Physical activity Physical fitness Population Prognosis Public health Risk Factors Smoking Smoking - adverse effects Social and Behavioral Sciences Stroke Surveys |
title | The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T02%3A17%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20ideal%20cardiovascular%20health%20metrics%20associated%20inversely%20with%20mortality%20from%20all%20causes%20and%20from%20cardiovascular%20diseases%20among%20adults%20in%20a%20Northern%20Chinese%20industrial%20city&rft.jtitle=PloS%20one&rft.au=Liu,%20Yan&rft.date=2014-02-24&rft.volume=9&rft.issue=2&rft.spage=e89161&rft.epage=e89161&rft.pages=e89161-e89161&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0089161&rft_dat=%3Cgale_plos_%3EA478794160%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1501613797&rft_id=info:pmid/24586562&rft_galeid=A478794160&rft_doaj_id=oai_doaj_org_article_ed9d9d69f53b4b62b8c4582935fb4d2d&rfr_iscdi=true |