Effects of lifestyle-related factors on ischemic heart disease according to body mass index and fasting blood glucose levels in Korean adults
To investigate the effects of lifestyle-related factors on ischemic heart disease (IHD) according to body mass index (BMI) and fasting blood glucose (FBG) levels among Korean adults. A total of 119,929 men and 89,669 women (from National Sample Cohort version 2.0, National Health Insurance Service)...
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| creator | Shin, Jiae Ham, Dongwoo Shin, Sangah Choi, Seul Ki Paik, Hee-Young Joung, Hyojee |
| description | To investigate the effects of lifestyle-related factors on ischemic heart disease (IHD) according to body mass index (BMI) and fasting blood glucose (FBG) levels among Korean adults.
A total of 119,929 men and 89,669 women (from National Sample Cohort version 2.0, National Health Insurance Service) aged ≥20 years who were examined during 2003-2006 and had no preexisting type 2 diabetes or circulatory diseases were followed until December 2015 to confirm IHD incident cases. Data on lifestyle-related factors (BMI, FBG, diet, smoking, alcohol consumption, and physical activity) were collected at baseline. Lifestyle-related risk factors were defined as mainly vegetable/mainly meat diet, former/current smoking, alcohol consumption ≥3 times/week, and no physical activity. Associations between these factors and IHD were examined using Cox proportional hazards regression models.
High BMI (≥25 kg/m2), high FBG (≥100 mg/dL), mainly meat diet, and former/current smoking were associated with increased risk for IHD. Alcohol consumption ≤twice/week and physical activity ≤twice/week were associated with lower risk of IHD. With increased lifestyle-related risk factors, the risk of IHD also increased in women (hazard ratio [HR] = 3.21, 95% confidence interval [CI] 2.18-4.73) and men (HR = 1.66, 95% CI 1.48-1.85). This increase was larger in women, with a significant sex interaction (p = 0.0001). Significant interactions between BMI and alcohol consumption (p = 0.0002) and between BMI and physical activity (p = 0.0063) were observed. Interactions were seen between FBG level and meal type in both BMI |
| doi_str_mv | 10.1371/journal.pone.0216534 |
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A total of 119,929 men and 89,669 women (from National Sample Cohort version 2.0, National Health Insurance Service) aged ≥20 years who were examined during 2003-2006 and had no preexisting type 2 diabetes or circulatory diseases were followed until December 2015 to confirm IHD incident cases. Data on lifestyle-related factors (BMI, FBG, diet, smoking, alcohol consumption, and physical activity) were collected at baseline. Lifestyle-related risk factors were defined as mainly vegetable/mainly meat diet, former/current smoking, alcohol consumption ≥3 times/week, and no physical activity. Associations between these factors and IHD were examined using Cox proportional hazards regression models.
High BMI (≥25 kg/m2), high FBG (≥100 mg/dL), mainly meat diet, and former/current smoking were associated with increased risk for IHD. Alcohol consumption ≤twice/week and physical activity ≤twice/week were associated with lower risk of IHD. With increased lifestyle-related risk factors, the risk of IHD also increased in women (hazard ratio [HR] = 3.21, 95% confidence interval [CI] 2.18-4.73) and men (HR = 1.66, 95% CI 1.48-1.85). This increase was larger in women, with a significant sex interaction (p = 0.0001). Significant interactions between BMI and alcohol consumption (p = 0.0002) and between BMI and physical activity (p = 0.0063) were observed. Interactions were seen between FBG level and meal type in both BMI<25 kg/m2 (p = 0.0106) and BMI≥25 kg/m2 (p = 0.0281) and between FBG level and alcohol consumption in BMI ≥25 kg/m2 (p = 0.0118).
The impact of lifestyle-related factors on IHD was more pronounced in women than in men and may be modified by BMI and FBG level among Korean adults. This might be taken into account when planning individual interventions to reduce IHD risk.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0216534</identifier><identifier>PMID: 31091295</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Age Distribution ; Alcohol use ; Alcoholic beverages ; Analysis ; Biology and Life Sciences ; Blood ; Blood glucose ; Blood Glucose - analysis ; Body mass ; Body Mass Index ; Body size ; Cardiovascular disease ; Cardiovascular diseases ; Confidence intervals ; Consumption ; Coronary artery disease ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diet ; Drinking (Alcoholic beverages) ; Exercise ; Fasting ; Female ; Glucose ; Hazards ; Health aspects ; Health risk assessment ; Health risks ; Healthy Lifestyle ; Heart diseases ; Humans ; Incidence ; Insurance ; Ischemia ; Levels ; Lifestyles ; Male ; Meat ; Medicine and Health Sciences ; Men ; Middle Aged ; Mortality ; Myocardial ischemia ; Myocardial Ischemia - epidemiology ; National health insurance ; Patient outcomes ; Physical activity ; Physical fitness ; Regression analysis ; Regression models ; Republic of Korea ; Risk analysis ; Risk Assessment ; Risk factors ; Smoking ; Statistical analysis ; Systematic review ; Type 2 diabetes ; Women ; Young Adult</subject><ispartof>PloS one, 2019-05, Vol.14 (5), p.e0216534-e0216534</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Shin 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>2019 Shin et al 2019 Shin et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-b188d5a36c26d83e2af5cfd8e05c24a36f1765c437c676ab8966f74ed7c467e13</citedby><cites>FETCH-LOGICAL-c758t-b188d5a36c26d83e2af5cfd8e05c24a36f1765c437c676ab8966f74ed7c467e13</cites><orcidid>0000-0003-2433-2280 ; 0000-0003-1182-7786 ; 0000-0001-6693-0268</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519900/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519900/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31091295$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Fürnsinn, Clemens</contributor><creatorcontrib>Shin, Jiae</creatorcontrib><creatorcontrib>Ham, Dongwoo</creatorcontrib><creatorcontrib>Shin, Sangah</creatorcontrib><creatorcontrib>Choi, Seul Ki</creatorcontrib><creatorcontrib>Paik, Hee-Young</creatorcontrib><creatorcontrib>Joung, Hyojee</creatorcontrib><title>Effects of lifestyle-related factors on ischemic heart disease according to body mass index and fasting blood glucose levels in Korean adults</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To investigate the effects of lifestyle-related factors on ischemic heart disease (IHD) according to body mass index (BMI) and fasting blood glucose (FBG) levels among Korean adults.
A total of 119,929 men and 89,669 women (from National Sample Cohort version 2.0, National Health Insurance Service) aged ≥20 years who were examined during 2003-2006 and had no preexisting type 2 diabetes or circulatory diseases were followed until December 2015 to confirm IHD incident cases. Data on lifestyle-related factors (BMI, FBG, diet, smoking, alcohol consumption, and physical activity) were collected at baseline. Lifestyle-related risk factors were defined as mainly vegetable/mainly meat diet, former/current smoking, alcohol consumption ≥3 times/week, and no physical activity. Associations between these factors and IHD were examined using Cox proportional hazards regression models.
High BMI (≥25 kg/m2), high FBG (≥100 mg/dL), mainly meat diet, and former/current smoking were associated with increased risk for IHD. Alcohol consumption ≤twice/week and physical activity ≤twice/week were associated with lower risk of IHD. With increased lifestyle-related risk factors, the risk of IHD also increased in women (hazard ratio [HR] = 3.21, 95% confidence interval [CI] 2.18-4.73) and men (HR = 1.66, 95% CI 1.48-1.85). This increase was larger in women, with a significant sex interaction (p = 0.0001). Significant interactions between BMI and alcohol consumption (p = 0.0002) and between BMI and physical activity (p = 0.0063) were observed. Interactions were seen between FBG level and meal type in both BMI<25 kg/m2 (p = 0.0106) and BMI≥25 kg/m2 (p = 0.0281) and between FBG level and alcohol consumption in BMI ≥25 kg/m2 (p = 0.0118).
The impact of lifestyle-related factors on IHD was more pronounced in women than in men and may be modified by BMI and FBG level among Korean adults. This might be taken into account when planning individual interventions to reduce IHD risk.</description><subject>Adult</subject><subject>Adults</subject><subject>Age Distribution</subject><subject>Alcohol use</subject><subject>Alcoholic beverages</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Blood</subject><subject>Blood glucose</subject><subject>Blood Glucose - analysis</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Confidence intervals</subject><subject>Consumption</subject><subject>Coronary artery disease</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diet</subject><subject>Drinking (Alcoholic beverages)</subject><subject>Exercise</subject><subject>Fasting</subject><subject>Female</subject><subject>Glucose</subject><subject>Hazards</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Healthy Lifestyle</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Incidence</subject><subject>Insurance</subject><subject>Ischemia</subject><subject>Levels</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Meat</subject><subject>Medicine and Health Sciences</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Myocardial ischemia</subject><subject>Myocardial Ischemia - epidemiology</subject><subject>National health insurance</subject><subject>Patient outcomes</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Republic of Korea</subject><subject>Risk analysis</subject><subject>Risk Assessment</subject><subject>Risk factors</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Systematic review</subject><subject>Type 2 diabetes</subject><subject>Women</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</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>eNqNk1trFDEUxwdRrFa_gWhAEH3YNZdJJvMilFK1WCh4ew2Z5GQ3JTupSaa0H8LvbMZuS1f6IIFJOOd3_pmcS9O8IHhJWEfen8UpjTosz-MIS0yJ4Kx90DwhPaMLQTF7eOe81zzN-QxjzqQQj5s9RnBPaM-fNL-PnANTMooOBe8gl6sAiwRBF7DIaVNiqs4R-WzWsPEGrUGngqzPoDMgbUxM1o8rVCIaor1CG50z8qOFS6THWSKX2T2EGC1ahcnEGhbgAsKMoS8xgR6RtlMo-VnzyOmQ4fl2329-fDz6fvh5cXL66fjw4GRhOi7LYiBSWq6ZMFRYyYBqx42zEjA3tK12RzrBTcs6IzqhB9kL4boWbGda0QFh-82ra93zELPaZjIrSimXVPayq8TxNWGjPlPnyW90ulJRe_XXENNK1TR4E0ABwU6LwWCpaeuEGDjFuqWUDYz1sn72mw_b26ZhA9bAWJIOO6K7ntGv1SpeKMFJ32NcBd5uBVL8NdUaqU0tB4SgR4jT_N-MYtKRTlb09T_o_a_bUitdH-BHF-u9ZhZVB1xyzljXiUot76HqsnMj1LZzvtp3At7tBFSmwGVZ6Slndfzt6_-zpz932Td32NqAoaxzDFPxccy7YHsNmhRzTuBuk0ywmqfmJhtqnhq1nZoa9vJugW6DbsaE_QEeMxO0</recordid><startdate>20190515</startdate><enddate>20190515</enddate><creator>Shin, Jiae</creator><creator>Ham, Dongwoo</creator><creator>Shin, Sangah</creator><creator>Choi, Seul Ki</creator><creator>Paik, Hee-Young</creator><creator>Joung, Hyojee</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>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><orcidid>https://orcid.org/0000-0003-2433-2280</orcidid><orcidid>https://orcid.org/0000-0003-1182-7786</orcidid><orcidid>https://orcid.org/0000-0001-6693-0268</orcidid></search><sort><creationdate>20190515</creationdate><title>Effects of lifestyle-related factors on ischemic heart disease according to body mass index and fasting blood glucose levels in Korean adults</title><author>Shin, Jiae ; Ham, Dongwoo ; Shin, Sangah ; Choi, Seul Ki ; Paik, Hee-Young ; Joung, Hyojee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-b188d5a36c26d83e2af5cfd8e05c24a36f1765c437c676ab8966f74ed7c467e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Age Distribution</topic><topic>Alcohol use</topic><topic>Alcoholic beverages</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Blood</topic><topic>Blood glucose</topic><topic>Blood Glucose - analysis</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Confidence intervals</topic><topic>Consumption</topic><topic>Coronary artery disease</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diet</topic><topic>Drinking (Alcoholic beverages)</topic><topic>Exercise</topic><topic>Fasting</topic><topic>Female</topic><topic>Glucose</topic><topic>Hazards</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Healthy Lifestyle</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Incidence</topic><topic>Insurance</topic><topic>Ischemia</topic><topic>Levels</topic><topic>Lifestyles</topic><topic>Male</topic><topic>Meat</topic><topic>Medicine and Health Sciences</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Myocardial ischemia</topic><topic>Myocardial Ischemia - epidemiology</topic><topic>National health insurance</topic><topic>Patient outcomes</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Republic of Korea</topic><topic>Risk analysis</topic><topic>Risk Assessment</topic><topic>Risk factors</topic><topic>Smoking</topic><topic>Statistical analysis</topic><topic>Systematic review</topic><topic>Type 2 diabetes</topic><topic>Women</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shin, Jiae</creatorcontrib><creatorcontrib>Ham, Dongwoo</creatorcontrib><creatorcontrib>Shin, Sangah</creatorcontrib><creatorcontrib>Choi, Seul Ki</creatorcontrib><creatorcontrib>Paik, Hee-Young</creatorcontrib><creatorcontrib>Joung, Hyojee</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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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>Shin, Jiae</au><au>Ham, Dongwoo</au><au>Shin, Sangah</au><au>Choi, Seul Ki</au><au>Paik, Hee-Young</au><au>Joung, Hyojee</au><au>Fürnsinn, Clemens</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of lifestyle-related factors on ischemic heart disease according to body mass index and fasting blood glucose levels in Korean adults</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-05-15</date><risdate>2019</risdate><volume>14</volume><issue>5</issue><spage>e0216534</spage><epage>e0216534</epage><pages>e0216534-e0216534</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To investigate the effects of lifestyle-related factors on ischemic heart disease (IHD) according to body mass index (BMI) and fasting blood glucose (FBG) levels among Korean adults.
A total of 119,929 men and 89,669 women (from National Sample Cohort version 2.0, National Health Insurance Service) aged ≥20 years who were examined during 2003-2006 and had no preexisting type 2 diabetes or circulatory diseases were followed until December 2015 to confirm IHD incident cases. Data on lifestyle-related factors (BMI, FBG, diet, smoking, alcohol consumption, and physical activity) were collected at baseline. Lifestyle-related risk factors were defined as mainly vegetable/mainly meat diet, former/current smoking, alcohol consumption ≥3 times/week, and no physical activity. Associations between these factors and IHD were examined using Cox proportional hazards regression models.
High BMI (≥25 kg/m2), high FBG (≥100 mg/dL), mainly meat diet, and former/current smoking were associated with increased risk for IHD. Alcohol consumption ≤twice/week and physical activity ≤twice/week were associated with lower risk of IHD. With increased lifestyle-related risk factors, the risk of IHD also increased in women (hazard ratio [HR] = 3.21, 95% confidence interval [CI] 2.18-4.73) and men (HR = 1.66, 95% CI 1.48-1.85). This increase was larger in women, with a significant sex interaction (p = 0.0001). Significant interactions between BMI and alcohol consumption (p = 0.0002) and between BMI and physical activity (p = 0.0063) were observed. Interactions were seen between FBG level and meal type in both BMI<25 kg/m2 (p = 0.0106) and BMI≥25 kg/m2 (p = 0.0281) and between FBG level and alcohol consumption in BMI ≥25 kg/m2 (p = 0.0118).
The impact of lifestyle-related factors on IHD was more pronounced in women than in men and may be modified by BMI and FBG level among Korean adults. This might be taken into account when planning individual interventions to reduce IHD risk.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31091295</pmid><doi>10.1371/journal.pone.0216534</doi><tpages>e0216534</tpages><orcidid>https://orcid.org/0000-0003-2433-2280</orcidid><orcidid>https://orcid.org/0000-0003-1182-7786</orcidid><orcidid>https://orcid.org/0000-0001-6693-0268</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2019-05, Vol.14 (5), p.e0216534-e0216534 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2225828987 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Adults Age Distribution Alcohol use Alcoholic beverages Analysis Biology and Life Sciences Blood Blood glucose Blood Glucose - analysis Body mass Body Mass Index Body size Cardiovascular disease Cardiovascular diseases Confidence intervals Consumption Coronary artery disease Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diet Drinking (Alcoholic beverages) Exercise Fasting Female Glucose Hazards Health aspects Health risk assessment Health risks Healthy Lifestyle Heart diseases Humans Incidence Insurance Ischemia Levels Lifestyles Male Meat Medicine and Health Sciences Men Middle Aged Mortality Myocardial ischemia Myocardial Ischemia - epidemiology National health insurance Patient outcomes Physical activity Physical fitness Regression analysis Regression models Republic of Korea Risk analysis Risk Assessment Risk factors Smoking Statistical analysis Systematic review Type 2 diabetes Women Young Adult |
| title | Effects of lifestyle-related factors on ischemic heart disease according to body mass index and fasting blood glucose levels in Korean adults |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T13%3A29%3A51IST&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=Effects%20of%20lifestyle-related%20factors%20on%20ischemic%20heart%20disease%20according%20to%20body%20mass%20index%20and%20fasting%20blood%20glucose%20levels%20in%20Korean%20adults&rft.jtitle=PloS%20one&rft.au=Shin,%20Jiae&rft.date=2019-05-15&rft.volume=14&rft.issue=5&rft.spage=e0216534&rft.epage=e0216534&rft.pages=e0216534-e0216534&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0216534&rft_dat=%3Cgale_plos_%3EA585533776%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=2225828987&rft_id=info:pmid/31091295&rft_galeid=A585533776&rft_doaj_id=oai_doaj_org_article_e10fa6bc08a24f66b520a4223b3398b3&rfr_iscdi=true |