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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Veröffentlicht in:PloS one 2014-02, Vol.9 (2), p.e89161-e89161
Hauptverfasser: 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
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container_title PloS one
container_volume 9
creator 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
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.
doi_str_mv 10.1371/journal.pone.0089161
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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><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. 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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 - 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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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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
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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
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