Normal-Weight Central Obesity and Mortality Risk in Older Adults With Coronary Artery Disease
Abstract Objective To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD). Patients and Methods We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist ci...
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| Veröffentlicht in: | Mayo Clinic proceedings 2016-03, Vol.91 (3), p.343-351 |
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| creator | Sharma, Saurabh, MD Batsis, John A., MD Coutinho, Thais, MD Somers, Virend K., MD, PHD Hodge, David O., MS Carter, Rickey E., PhD Sochor, Ondrej, MD Kragelund, Charlotte, MD, PhD Kanaya, Alka M., MD Zeller, Marianne, PhD Park, Jong-Seon, MD Køber, Lars, MD, PhD Torp-Pedersen, Christian, MD, PhD Lopez-Jimenez, Francisco, MD, MSc |
| description | Abstract Objective To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD). Patients and Methods We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist circumference (WC) or waist-hip ratio (WHR) in patients with CAD from January 1, 1980, to December 31, 2008. Normal weight, overweight, and obesity were defined using standard BMI cutoffs. High WHR was defined as 0.85 or more for women and 0.90 or more for men. High WC was defined as 88 cm or more for women and 102 cm or more for men. Separate models examined WC or WHR in combination with BMI (6 categories each) as the primary predictor (referent = normal BMI and normal WC or WHR). Cox proportional hazards models investigated the relationship between these obesity categories and mortality. Results Patients' mean age was 73.0±6.0 years (3741 [53%] women). The median censor time was 7.1 years. A normal BMI with central obesity (high WHR or high WC) demonstrated highest mortality risk (hazard ratio [HR], 1.29; 95% CI, 1.14-1.46; HR, 1.29; 95% CI, 1.12-1.50, respectively). High WHR was also predictive of mortality in the overall (HR, 2.14; 95% CI, 1.93-2.38) as well as in the sex-specific cohort. In the overall cohort, high WC was not predictive of mortality (HR, 1.04; 95% CI, 0.97-1.12); however, it predicted higher risk in men (HR, 1.12; 95% CI, 1.01-1.24). Conclusion In older adults with CAD, normal-weight central obesity defined using either WHR or WC is associated with high mortality risk, highlighting a need to combine measures in adiposity-related risk assessment. |
| doi_str_mv | 10.1016/j.mayocp.2015.12.007 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01579094v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A448569600</galeid><els_id>S0025619615009957</els_id><sourcerecordid>A448569600</sourcerecordid><originalsourceid>FETCH-LOGICAL-c582t-827954c9ae691eeb017db4851773ebbfcab226dc2af766d3af79258c114f459d3</originalsourceid><addsrcrecordid>eNqNkl2L1DAUhoso7jr6D0QKguhFa5Jp0uZmYRg_Vhgd8IO9kpCmpzuZTZMxSRfm35vSddW9UXJxyOE5J-e8ebPsKUYlRpi93peDPDp1KAnCtMSkRKi-l51iXpGC0ordz04RIrRgmLOT7FEIe5QIzquH2QlhDUO0QafZ90_OD9IUF6AvdzFfg41emnzbQtDxmEvb5R-dj9JMt886XOXa5lvTgc9X3WhiyC903OVr552V_pivfIQU3ugAMsDj7EEvTYAnN3GRfXv39uv6vNhs339YrzaFog2JRUNqTivFJTCOAVqE666tGorreglt2yvZEsI6RWRfM9YtU-CENgrjqq8o75aL7NXcdyeNOHg9pFGEk1qcrzZiyiWJao54dY0T-3JmD979GCFEMeigwBhpwY1B4AmkPOn4H2iNmqZCHCX0-R1070Zv09IThTFqeFpmkZUzdSkNCG17l9RW6XQwaOUs9DrlV1XanXGGprYv_ijYgTRxF5wZo3Y2_A1WM6i8C8FDfysDRmLyi9iL2S9i8ovARCQ3pLJnN2OP7QDdbdEvgyTgbAYgfd-1Bi-C0mAVdNqDiqJz-l8v3G2gjLZaSXMFRwi_VRIhFYgvk2cny2KKEOe0Xv4EHDnkPA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1771108977</pqid></control><display><type>article</type><title>Normal-Weight Central Obesity and Mortality Risk in Older Adults With Coronary Artery Disease</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Sharma, Saurabh, MD ; Batsis, John A., MD ; Coutinho, Thais, MD ; Somers, Virend K., MD, PHD ; Hodge, David O., MS ; Carter, Rickey E., PhD ; Sochor, Ondrej, MD ; Kragelund, Charlotte, MD, PhD ; Kanaya, Alka M., MD ; Zeller, Marianne, PhD ; Park, Jong-Seon, MD ; Køber, Lars, MD, PhD ; Torp-Pedersen, Christian, MD, PhD ; Lopez-Jimenez, Francisco, MD, MSc</creator><creatorcontrib>Sharma, Saurabh, MD ; Batsis, John A., MD ; Coutinho, Thais, MD ; Somers, Virend K., MD, PHD ; Hodge, David O., MS ; Carter, Rickey E., PhD ; Sochor, Ondrej, MD ; Kragelund, Charlotte, MD, PhD ; Kanaya, Alka M., MD ; Zeller, Marianne, PhD ; Park, Jong-Seon, MD ; Køber, Lars, MD, PhD ; Torp-Pedersen, Christian, MD, PhD ; Lopez-Jimenez, Francisco, MD, MSc</creatorcontrib><description>Abstract Objective To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD). Patients and Methods We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist circumference (WC) or waist-hip ratio (WHR) in patients with CAD from January 1, 1980, to December 31, 2008. Normal weight, overweight, and obesity were defined using standard BMI cutoffs. High WHR was defined as 0.85 or more for women and 0.90 or more for men. High WC was defined as 88 cm or more for women and 102 cm or more for men. Separate models examined WC or WHR in combination with BMI (6 categories each) as the primary predictor (referent = normal BMI and normal WC or WHR). Cox proportional hazards models investigated the relationship between these obesity categories and mortality. Results Patients' mean age was 73.0±6.0 years (3741 [53%] women). The median censor time was 7.1 years. A normal BMI with central obesity (high WHR or high WC) demonstrated highest mortality risk (hazard ratio [HR], 1.29; 95% CI, 1.14-1.46; HR, 1.29; 95% CI, 1.12-1.50, respectively). High WHR was also predictive of mortality in the overall (HR, 2.14; 95% CI, 1.93-2.38) as well as in the sex-specific cohort. In the overall cohort, high WC was not predictive of mortality (HR, 1.04; 95% CI, 0.97-1.12); however, it predicted higher risk in men (HR, 1.12; 95% CI, 1.01-1.24). Conclusion In older adults with CAD, normal-weight central obesity defined using either WHR or WC is associated with high mortality risk, highlighting a need to combine measures in adiposity-related risk assessment.</description><identifier>ISSN: 0025-6196</identifier><identifier>EISSN: 1942-5546</identifier><identifier>DOI: 10.1016/j.mayocp.2015.12.007</identifier><identifier>PMID: 26860580</identifier><identifier>CODEN: MACPAJ</identifier><language>eng</language><publisher>England: Elsevier Inc</publisher><subject>Age Factors ; Aged ; Aged, 80 and over ; Analysis ; Body Mass Index ; Care and treatment ; Cause of Death ; Cohort Studies ; Complications and side effects ; Coronary Artery Disease - epidemiology ; Coronary Artery Disease - mortality ; Coronary heart disease ; Denmark - epidemiology ; Female ; France - epidemiology ; Health aspects ; Human health and pathology ; Humans ; Internal Medicine ; Life Sciences ; Male ; Obesity ; Obesity, Abdominal - epidemiology ; Obesity, Abdominal - mortality ; Proportional Hazards Models ; Risk Factors ; Sex Factors ; United States - epidemiology</subject><ispartof>Mayo Clinic proceedings, 2016-03, Vol.91 (3), p.343-351</ispartof><rights>Mayo Foundation for Medical Education and Research</rights><rights>2016</rights><rights>Copyright © 2016. Published by Elsevier Inc.</rights><rights>COPYRIGHT 2016 Frontline Medical Communications Inc.</rights><rights>Copyright Mayo Foundation for Medical Education and Research Mar 2016</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c582t-827954c9ae691eeb017db4851773ebbfcab226dc2af766d3af79258c114f459d3</citedby><cites>FETCH-LOGICAL-c582t-827954c9ae691eeb017db4851773ebbfcab226dc2af766d3af79258c114f459d3</cites><orcidid>0000-0002-5763-4579 ; 0000-0003-2892-6131 ; 0000-0002-6635-1466</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26860580$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://u-bourgogne.hal.science/hal-01579094$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Sharma, Saurabh, MD</creatorcontrib><creatorcontrib>Batsis, John A., MD</creatorcontrib><creatorcontrib>Coutinho, Thais, MD</creatorcontrib><creatorcontrib>Somers, Virend K., MD, PHD</creatorcontrib><creatorcontrib>Hodge, David O., MS</creatorcontrib><creatorcontrib>Carter, Rickey E., PhD</creatorcontrib><creatorcontrib>Sochor, Ondrej, MD</creatorcontrib><creatorcontrib>Kragelund, Charlotte, MD, PhD</creatorcontrib><creatorcontrib>Kanaya, Alka M., MD</creatorcontrib><creatorcontrib>Zeller, Marianne, PhD</creatorcontrib><creatorcontrib>Park, Jong-Seon, MD</creatorcontrib><creatorcontrib>Køber, Lars, MD, PhD</creatorcontrib><creatorcontrib>Torp-Pedersen, Christian, MD, PhD</creatorcontrib><creatorcontrib>Lopez-Jimenez, Francisco, MD, MSc</creatorcontrib><title>Normal-Weight Central Obesity and Mortality Risk in Older Adults With Coronary Artery Disease</title><title>Mayo Clinic proceedings</title><addtitle>Mayo Clin Proc</addtitle><description>Abstract Objective To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD). Patients and Methods We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist circumference (WC) or waist-hip ratio (WHR) in patients with CAD from January 1, 1980, to December 31, 2008. Normal weight, overweight, and obesity were defined using standard BMI cutoffs. High WHR was defined as 0.85 or more for women and 0.90 or more for men. High WC was defined as 88 cm or more for women and 102 cm or more for men. Separate models examined WC or WHR in combination with BMI (6 categories each) as the primary predictor (referent = normal BMI and normal WC or WHR). Cox proportional hazards models investigated the relationship between these obesity categories and mortality. Results Patients' mean age was 73.0±6.0 years (3741 [53%] women). The median censor time was 7.1 years. A normal BMI with central obesity (high WHR or high WC) demonstrated highest mortality risk (hazard ratio [HR], 1.29; 95% CI, 1.14-1.46; HR, 1.29; 95% CI, 1.12-1.50, respectively). High WHR was also predictive of mortality in the overall (HR, 2.14; 95% CI, 1.93-2.38) as well as in the sex-specific cohort. In the overall cohort, high WC was not predictive of mortality (HR, 1.04; 95% CI, 0.97-1.12); however, it predicted higher risk in men (HR, 1.12; 95% CI, 1.01-1.24). Conclusion In older adults with CAD, normal-weight central obesity defined using either WHR or WC is associated with high mortality risk, highlighting a need to combine measures in adiposity-related risk assessment.</description><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Body Mass Index</subject><subject>Care and treatment</subject><subject>Cause of Death</subject><subject>Cohort Studies</subject><subject>Complications and side effects</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary Artery Disease - mortality</subject><subject>Coronary heart disease</subject><subject>Denmark - epidemiology</subject><subject>Female</subject><subject>France - epidemiology</subject><subject>Health aspects</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Obesity</subject><subject>Obesity, Abdominal - epidemiology</subject><subject>Obesity, Abdominal - mortality</subject><subject>Proportional Hazards Models</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>United States - epidemiology</subject><issn>0025-6196</issn><issn>1942-5546</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkl2L1DAUhoso7jr6D0QKguhFa5Jp0uZmYRg_Vhgd8IO9kpCmpzuZTZMxSRfm35vSddW9UXJxyOE5J-e8ebPsKUYlRpi93peDPDp1KAnCtMSkRKi-l51iXpGC0ordz04RIrRgmLOT7FEIe5QIzquH2QlhDUO0QafZ90_OD9IUF6AvdzFfg41emnzbQtDxmEvb5R-dj9JMt886XOXa5lvTgc9X3WhiyC903OVr552V_pivfIQU3ugAMsDj7EEvTYAnN3GRfXv39uv6vNhs339YrzaFog2JRUNqTivFJTCOAVqE666tGorreglt2yvZEsI6RWRfM9YtU-CENgrjqq8o75aL7NXcdyeNOHg9pFGEk1qcrzZiyiWJao54dY0T-3JmD979GCFEMeigwBhpwY1B4AmkPOn4H2iNmqZCHCX0-R1070Zv09IThTFqeFpmkZUzdSkNCG17l9RW6XQwaOUs9DrlV1XanXGGprYv_ijYgTRxF5wZo3Y2_A1WM6i8C8FDfysDRmLyi9iL2S9i8ovARCQ3pLJnN2OP7QDdbdEvgyTgbAYgfd-1Bi-C0mAVdNqDiqJz-l8v3G2gjLZaSXMFRwi_VRIhFYgvk2cny2KKEOe0Xv4EHDnkPA</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Sharma, Saurabh, MD</creator><creator>Batsis, John A., MD</creator><creator>Coutinho, Thais, MD</creator><creator>Somers, Virend K., MD, PHD</creator><creator>Hodge, David O., MS</creator><creator>Carter, Rickey E., PhD</creator><creator>Sochor, Ondrej, MD</creator><creator>Kragelund, Charlotte, MD, PhD</creator><creator>Kanaya, Alka M., MD</creator><creator>Zeller, Marianne, PhD</creator><creator>Park, Jong-Seon, MD</creator><creator>Køber, Lars, MD, PhD</creator><creator>Torp-Pedersen, Christian, MD, PhD</creator><creator>Lopez-Jimenez, Francisco, MD, MSc</creator><general>Elsevier Inc</general><general>Frontline Medical Communications Inc</general><general>Elsevier Limited</general><general>Elsevier</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>3V.</scope><scope>4U-</scope><scope>7RV</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-5763-4579</orcidid><orcidid>https://orcid.org/0000-0003-2892-6131</orcidid><orcidid>https://orcid.org/0000-0002-6635-1466</orcidid></search><sort><creationdate>20160301</creationdate><title>Normal-Weight Central Obesity and Mortality Risk in Older Adults With Coronary Artery Disease</title><author>Sharma, Saurabh, MD ; Batsis, John A., MD ; Coutinho, Thais, MD ; Somers, Virend K., MD, PHD ; Hodge, David O., MS ; Carter, Rickey E., PhD ; Sochor, Ondrej, MD ; Kragelund, Charlotte, MD, PhD ; Kanaya, Alka M., MD ; Zeller, Marianne, PhD ; Park, Jong-Seon, MD ; Køber, Lars, MD, PhD ; Torp-Pedersen, Christian, MD, PhD ; Lopez-Jimenez, Francisco, MD, MSc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c582t-827954c9ae691eeb017db4851773ebbfcab226dc2af766d3af79258c114f459d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Body Mass Index</topic><topic>Care and treatment</topic><topic>Cause of Death</topic><topic>Cohort Studies</topic><topic>Complications and side effects</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary Artery Disease - mortality</topic><topic>Coronary heart disease</topic><topic>Denmark - epidemiology</topic><topic>Female</topic><topic>France - epidemiology</topic><topic>Health aspects</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Obesity</topic><topic>Obesity, Abdominal - epidemiology</topic><topic>Obesity, Abdominal - mortality</topic><topic>Proportional Hazards Models</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Saurabh, MD</creatorcontrib><creatorcontrib>Batsis, John A., MD</creatorcontrib><creatorcontrib>Coutinho, Thais, MD</creatorcontrib><creatorcontrib>Somers, Virend K., MD, PHD</creatorcontrib><creatorcontrib>Hodge, David O., MS</creatorcontrib><creatorcontrib>Carter, Rickey E., PhD</creatorcontrib><creatorcontrib>Sochor, Ondrej, MD</creatorcontrib><creatorcontrib>Kragelund, Charlotte, MD, PhD</creatorcontrib><creatorcontrib>Kanaya, Alka M., MD</creatorcontrib><creatorcontrib>Zeller, Marianne, PhD</creatorcontrib><creatorcontrib>Park, Jong-Seon, MD</creatorcontrib><creatorcontrib>Køber, Lars, MD, PhD</creatorcontrib><creatorcontrib>Torp-Pedersen, Christian, MD, PhD</creatorcontrib><creatorcontrib>Lopez-Jimenez, Francisco, MD, MSc</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>University Readers</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Nursing & Allied Health Premium</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>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Mayo Clinic proceedings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Saurabh, MD</au><au>Batsis, John A., MD</au><au>Coutinho, Thais, MD</au><au>Somers, Virend K., MD, PHD</au><au>Hodge, David O., MS</au><au>Carter, Rickey E., PhD</au><au>Sochor, Ondrej, MD</au><au>Kragelund, Charlotte, MD, PhD</au><au>Kanaya, Alka M., MD</au><au>Zeller, Marianne, PhD</au><au>Park, Jong-Seon, MD</au><au>Køber, Lars, MD, PhD</au><au>Torp-Pedersen, Christian, MD, PhD</au><au>Lopez-Jimenez, Francisco, MD, MSc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Normal-Weight Central Obesity and Mortality Risk in Older Adults With Coronary Artery Disease</atitle><jtitle>Mayo Clinic proceedings</jtitle><addtitle>Mayo Clin Proc</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>91</volume><issue>3</issue><spage>343</spage><epage>351</epage><pages>343-351</pages><issn>0025-6196</issn><eissn>1942-5546</eissn><coden>MACPAJ</coden><abstract>Abstract Objective To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD). Patients and Methods We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist circumference (WC) or waist-hip ratio (WHR) in patients with CAD from January 1, 1980, to December 31, 2008. Normal weight, overweight, and obesity were defined using standard BMI cutoffs. High WHR was defined as 0.85 or more for women and 0.90 or more for men. High WC was defined as 88 cm or more for women and 102 cm or more for men. Separate models examined WC or WHR in combination with BMI (6 categories each) as the primary predictor (referent = normal BMI and normal WC or WHR). Cox proportional hazards models investigated the relationship between these obesity categories and mortality. Results Patients' mean age was 73.0±6.0 years (3741 [53%] women). The median censor time was 7.1 years. A normal BMI with central obesity (high WHR or high WC) demonstrated highest mortality risk (hazard ratio [HR], 1.29; 95% CI, 1.14-1.46; HR, 1.29; 95% CI, 1.12-1.50, respectively). High WHR was also predictive of mortality in the overall (HR, 2.14; 95% CI, 1.93-2.38) as well as in the sex-specific cohort. In the overall cohort, high WC was not predictive of mortality (HR, 1.04; 95% CI, 0.97-1.12); however, it predicted higher risk in men (HR, 1.12; 95% CI, 1.01-1.24). Conclusion In older adults with CAD, normal-weight central obesity defined using either WHR or WC is associated with high mortality risk, highlighting a need to combine measures in adiposity-related risk assessment.</abstract><cop>England</cop><pub>Elsevier Inc</pub><pmid>26860580</pmid><doi>10.1016/j.mayocp.2015.12.007</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5763-4579</orcidid><orcidid>https://orcid.org/0000-0003-2892-6131</orcidid><orcidid>https://orcid.org/0000-0002-6635-1466</orcidid></addata></record> |
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| ispartof | Mayo Clinic proceedings, 2016-03, Vol.91 (3), p.343-351 |
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| language | eng |
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| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Age Factors Aged Aged, 80 and over Analysis Body Mass Index Care and treatment Cause of Death Cohort Studies Complications and side effects Coronary Artery Disease - epidemiology Coronary Artery Disease - mortality Coronary heart disease Denmark - epidemiology Female France - epidemiology Health aspects Human health and pathology Humans Internal Medicine Life Sciences Male Obesity Obesity, Abdominal - epidemiology Obesity, Abdominal - mortality Proportional Hazards Models Risk Factors Sex Factors United States - epidemiology |
| title | Normal-Weight Central Obesity and Mortality Risk in Older Adults With Coronary Artery Disease |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T08%3A06%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Normal-Weight%20Central%20Obesity%20and%20Mortality%20Risk%20in%20Older%20Adults%20With%20Coronary%20Artery%20Disease&rft.jtitle=Mayo%20Clinic%20proceedings&rft.au=Sharma,%20Saurabh,%20MD&rft.date=2016-03-01&rft.volume=91&rft.issue=3&rft.spage=343&rft.epage=351&rft.pages=343-351&rft.issn=0025-6196&rft.eissn=1942-5546&rft.coden=MACPAJ&rft_id=info:doi/10.1016/j.mayocp.2015.12.007&rft_dat=%3Cgale_hal_p%3EA448569600%3C/gale_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1771108977&rft_id=info:pmid/26860580&rft_galeid=A448569600&rft_els_id=S0025619615009957&rfr_iscdi=true |