Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients
Neighborhood-level socioeconomic status (SES) is associated with health outcomes, including cardiovascular disease and diabetes, but these associations are rarely studied across large, diverse populations. We used Ward's Hierarchical clustering to define eight neighborhood clusters across North...
Gespeichert in:
Veröffentlicht in: | The American heart journal 2022-01, Vol.243, p.201-209 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 209 |
---|---|
container_issue | |
container_start_page | 201 |
container_title | The American heart journal |
container_volume | 243 |
creator | Weaver, Anne M. McGuinn, Laura A. Neas, Lucas Devlin, Robert B. Dhingra, Radhika Ward-Caviness, Cavin K. Cascio, Wayne E. Kraus, William E. Hauser, Elizabeth R. Diaz-Sanchez, David |
description | Neighborhood-level socioeconomic status (SES) is associated with health outcomes, including cardiovascular disease and diabetes, but these associations are rarely studied across large, diverse populations.
We used Ward's Hierarchical clustering to define eight neighborhood clusters across North Carolina using 11 census-based indicators of SES, race, housing, and urbanicity and assigned 6992 cardiac catheterization patients at Duke University Hospital from 2001 to 2010 to clusters. We examined associations between clusters and coronary artery disease index > 23 (CAD), history of myocardial infarction, hypertension, and diabetes using logistic regression adjusted for age, race, sex, body mass index, region of North Carolina, distance to Duke University Hospital, and smoking status.
Four clusters were urban, three rural, and one suburban higher-middle-SES (referent). We observed greater odds of myocardial infarction in all six clusters with lower or middle-SES. Odds of CAD were elevated in the rural cluster that was low-SES and plurality Black (OR 1.16, 95% CI 0.94-1.43) and in the rural cluster that was majority American Indian (OR 1.31, 95% CI 0.91-1.90). Odds of diabetes and hypertension were elevated in two urban and one rural low- and lower-middle SES clusters with large Black populations.
We observed higher prevalence of cardiovascular disease and diabetes in neighborhoods that were predominantly rural, low-SES, and non-White, highlighting the importance of public health and healthcare system outreach into these communities to promote cardiometabolic health and prevent and manage hypertension, diabetes and coronary artery disease. |
doi_str_mv | 10.1016/j.ahj.2021.09.013 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8633144</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S000287032100243X</els_id><sourcerecordid>2602992476</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3943-ca8e18313bf04e79fa3a029dbf87ebba0508a7ec574d2aefa263cfa3cd53d9e53</originalsourceid><addsrcrecordid>eNp9UU1rFEEQbUQxm-gP8CINXjNjf8zOB4IQglEh4EXPTU13TaaX3e61uzdh89P8ddZmY9CLp6Ko9169qsfYGylqKWT7flXDvKqVULIWQy2kfsYWUgxd1XZN85wthBCq6juhT9hpzitqW9W3L9mJblopVK8X7NdFztF6KD6GzEcsd4iBB_Q38xjTHKPjh3lEG0PceMvtepcLJg7B8Xm_xVQwZCKfc-eB-JjP-WYfLSTq19yHCZItD4ADxcYUA6Q9ByJScT4jZOR3vsw-cCDAHFPhceJHCdoIZSbd5O8fXPItFQwlv2IvJlhnfP1Yz9iPq0_fL79U198-f728uK6sHhpdWehR9lrqcRINdsMEGoQa3Dj1HY4jiKXooUO77BqnACdQrbYEsm6p3YBLfcY-HnW3u3GDztLuBGuzTX5Dh5gI3vw7CX42N_HW9K3WsmlI4N2jQIo_d5iLWcVdCuTZqJasDKrpWkLJI8qmmHPC6WmDFOYQt1kZitsc4jZiMBQ3cd7-be2J8SdfAnw4ApAedOsxmWzpeRadT2iLcdH_R_43yY7DDA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2602992476</pqid></control><display><type>article</type><title>Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><source>ProQuest Central UK/Ireland</source><creator>Weaver, Anne M. ; McGuinn, Laura A. ; Neas, Lucas ; Devlin, Robert B. ; Dhingra, Radhika ; Ward-Caviness, Cavin K. ; Cascio, Wayne E. ; Kraus, William E. ; Hauser, Elizabeth R. ; Diaz-Sanchez, David</creator><creatorcontrib>Weaver, Anne M. ; McGuinn, Laura A. ; Neas, Lucas ; Devlin, Robert B. ; Dhingra, Radhika ; Ward-Caviness, Cavin K. ; Cascio, Wayne E. ; Kraus, William E. ; Hauser, Elizabeth R. ; Diaz-Sanchez, David</creatorcontrib><description>Neighborhood-level socioeconomic status (SES) is associated with health outcomes, including cardiovascular disease and diabetes, but these associations are rarely studied across large, diverse populations.
We used Ward's Hierarchical clustering to define eight neighborhood clusters across North Carolina using 11 census-based indicators of SES, race, housing, and urbanicity and assigned 6992 cardiac catheterization patients at Duke University Hospital from 2001 to 2010 to clusters. We examined associations between clusters and coronary artery disease index > 23 (CAD), history of myocardial infarction, hypertension, and diabetes using logistic regression adjusted for age, race, sex, body mass index, region of North Carolina, distance to Duke University Hospital, and smoking status.
Four clusters were urban, three rural, and one suburban higher-middle-SES (referent). We observed greater odds of myocardial infarction in all six clusters with lower or middle-SES. Odds of CAD were elevated in the rural cluster that was low-SES and plurality Black (OR 1.16, 95% CI 0.94-1.43) and in the rural cluster that was majority American Indian (OR 1.31, 95% CI 0.91-1.90). Odds of diabetes and hypertension were elevated in two urban and one rural low- and lower-middle SES clusters with large Black populations.
We observed higher prevalence of cardiovascular disease and diabetes in neighborhoods that were predominantly rural, low-SES, and non-White, highlighting the importance of public health and healthcare system outreach into these communities to promote cardiometabolic health and prevent and manage hypertension, diabetes and coronary artery disease.</description><identifier>ISSN: 0002-8703</identifier><identifier>EISSN: 1097-6744</identifier><identifier>DOI: 10.1016/j.ahj.2021.09.013</identifier><identifier>PMID: 34610283</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Body mass ; Body mass index ; Body size ; Cardiac Catheterization ; Cardiovascular disease ; Cardiovascular diseases ; Catheterization ; Cluster analysis ; Clustering ; Coronary artery ; Coronary artery disease ; Coronary Artery Disease - epidemiology ; Coronary vessels ; Demographics ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Dormitories ; Health care ; Heart attacks ; Heart diseases ; Housing ; Humans ; Hypertension ; Hypertension - epidemiology ; Intubation ; Medical records ; Myocardial infarction ; Myocardial Infarction - epidemiology ; Native North Americans ; Neighborhoods ; Nursing homes ; Outdoor air quality ; Patients ; Population ; Populations ; Public health ; Race ; Residence Characteristics ; Rural areas ; Social Class ; Sociodemographics ; Socioeconomic Factors ; Socioeconomics ; Suburban areas ; Urban areas ; Vein & artery diseases</subject><ispartof>The American heart journal, 2022-01, Vol.243, p.201-209</ispartof><rights>2021</rights><rights>Published by Elsevier Inc.</rights><rights>Copyright Elsevier Limited Jan 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3943-ca8e18313bf04e79fa3a029dbf87ebba0508a7ec574d2aefa263cfa3cd53d9e53</citedby><cites>FETCH-LOGICAL-c3943-ca8e18313bf04e79fa3a029dbf87ebba0508a7ec574d2aefa263cfa3cd53d9e53</cites><orcidid>0000-0003-1360-8093 ; 0000-0002-4222-0285 ; 0000-0002-6322-4349 ; 0000-0002-8510-2000 ; 0000-0003-1930-9684 ; 0000-0003-0202-1860</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2602992476?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995,64385,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34610283$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Weaver, Anne M.</creatorcontrib><creatorcontrib>McGuinn, Laura A.</creatorcontrib><creatorcontrib>Neas, Lucas</creatorcontrib><creatorcontrib>Devlin, Robert B.</creatorcontrib><creatorcontrib>Dhingra, Radhika</creatorcontrib><creatorcontrib>Ward-Caviness, Cavin K.</creatorcontrib><creatorcontrib>Cascio, Wayne E.</creatorcontrib><creatorcontrib>Kraus, William E.</creatorcontrib><creatorcontrib>Hauser, Elizabeth R.</creatorcontrib><creatorcontrib>Diaz-Sanchez, David</creatorcontrib><title>Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients</title><title>The American heart journal</title><addtitle>Am Heart J</addtitle><description>Neighborhood-level socioeconomic status (SES) is associated with health outcomes, including cardiovascular disease and diabetes, but these associations are rarely studied across large, diverse populations.
We used Ward's Hierarchical clustering to define eight neighborhood clusters across North Carolina using 11 census-based indicators of SES, race, housing, and urbanicity and assigned 6992 cardiac catheterization patients at Duke University Hospital from 2001 to 2010 to clusters. We examined associations between clusters and coronary artery disease index > 23 (CAD), history of myocardial infarction, hypertension, and diabetes using logistic regression adjusted for age, race, sex, body mass index, region of North Carolina, distance to Duke University Hospital, and smoking status.
Four clusters were urban, three rural, and one suburban higher-middle-SES (referent). We observed greater odds of myocardial infarction in all six clusters with lower or middle-SES. Odds of CAD were elevated in the rural cluster that was low-SES and plurality Black (OR 1.16, 95% CI 0.94-1.43) and in the rural cluster that was majority American Indian (OR 1.31, 95% CI 0.91-1.90). Odds of diabetes and hypertension were elevated in two urban and one rural low- and lower-middle SES clusters with large Black populations.
We observed higher prevalence of cardiovascular disease and diabetes in neighborhoods that were predominantly rural, low-SES, and non-White, highlighting the importance of public health and healthcare system outreach into these communities to promote cardiometabolic health and prevent and manage hypertension, diabetes and coronary artery disease.</description><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiac Catheterization</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Catheterization</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary vessels</subject><subject>Demographics</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Dormitories</subject><subject>Health care</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Housing</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>Intubation</subject><subject>Medical records</subject><subject>Myocardial infarction</subject><subject>Myocardial Infarction - epidemiology</subject><subject>Native North Americans</subject><subject>Neighborhoods</subject><subject>Nursing homes</subject><subject>Outdoor air quality</subject><subject>Patients</subject><subject>Population</subject><subject>Populations</subject><subject>Public health</subject><subject>Race</subject><subject>Residence Characteristics</subject><subject>Rural areas</subject><subject>Social Class</subject><subject>Sociodemographics</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Suburban areas</subject><subject>Urban areas</subject><subject>Vein & artery diseases</subject><issn>0002-8703</issn><issn>1097-6744</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9UU1rFEEQbUQxm-gP8CINXjNjf8zOB4IQglEh4EXPTU13TaaX3e61uzdh89P8ddZmY9CLp6Ko9169qsfYGylqKWT7flXDvKqVULIWQy2kfsYWUgxd1XZN85wthBCq6juhT9hpzitqW9W3L9mJblopVK8X7NdFztF6KD6GzEcsd4iBB_Q38xjTHKPjh3lEG0PceMvtepcLJg7B8Xm_xVQwZCKfc-eB-JjP-WYfLSTq19yHCZItD4ADxcYUA6Q9ByJScT4jZOR3vsw-cCDAHFPhceJHCdoIZSbd5O8fXPItFQwlv2IvJlhnfP1Yz9iPq0_fL79U198-f728uK6sHhpdWehR9lrqcRINdsMEGoQa3Dj1HY4jiKXooUO77BqnACdQrbYEsm6p3YBLfcY-HnW3u3GDztLuBGuzTX5Dh5gI3vw7CX42N_HW9K3WsmlI4N2jQIo_d5iLWcVdCuTZqJasDKrpWkLJI8qmmHPC6WmDFOYQt1kZitsc4jZiMBQ3cd7-be2J8SdfAnw4ApAedOsxmWzpeRadT2iLcdH_R_43yY7DDA</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Weaver, Anne M.</creator><creator>McGuinn, Laura A.</creator><creator>Neas, Lucas</creator><creator>Devlin, Robert B.</creator><creator>Dhingra, Radhika</creator><creator>Ward-Caviness, Cavin K.</creator><creator>Cascio, Wayne E.</creator><creator>Kraus, William E.</creator><creator>Hauser, Elizabeth R.</creator><creator>Diaz-Sanchez, David</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><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>7QO</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1360-8093</orcidid><orcidid>https://orcid.org/0000-0002-4222-0285</orcidid><orcidid>https://orcid.org/0000-0002-6322-4349</orcidid><orcidid>https://orcid.org/0000-0002-8510-2000</orcidid><orcidid>https://orcid.org/0000-0003-1930-9684</orcidid><orcidid>https://orcid.org/0000-0003-0202-1860</orcidid></search><sort><creationdate>20220101</creationdate><title>Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients</title><author>Weaver, Anne M. ; McGuinn, Laura A. ; Neas, Lucas ; Devlin, Robert B. ; Dhingra, Radhika ; Ward-Caviness, Cavin K. ; Cascio, Wayne E. ; Kraus, William E. ; Hauser, Elizabeth R. ; Diaz-Sanchez, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3943-ca8e18313bf04e79fa3a029dbf87ebba0508a7ec574d2aefa263cfa3cd53d9e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiac Catheterization</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Catheterization</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary vessels</topic><topic>Demographics</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Dormitories</topic><topic>Health care</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>Housing</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - epidemiology</topic><topic>Intubation</topic><topic>Medical records</topic><topic>Myocardial infarction</topic><topic>Myocardial Infarction - epidemiology</topic><topic>Native North Americans</topic><topic>Neighborhoods</topic><topic>Nursing homes</topic><topic>Outdoor air quality</topic><topic>Patients</topic><topic>Population</topic><topic>Populations</topic><topic>Public health</topic><topic>Race</topic><topic>Residence Characteristics</topic><topic>Rural areas</topic><topic>Social Class</topic><topic>Sociodemographics</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomics</topic><topic>Suburban areas</topic><topic>Urban areas</topic><topic>Vein & artery diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Weaver, Anne M.</creatorcontrib><creatorcontrib>McGuinn, Laura A.</creatorcontrib><creatorcontrib>Neas, Lucas</creatorcontrib><creatorcontrib>Devlin, Robert B.</creatorcontrib><creatorcontrib>Dhingra, Radhika</creatorcontrib><creatorcontrib>Ward-Caviness, Cavin K.</creatorcontrib><creatorcontrib>Cascio, Wayne E.</creatorcontrib><creatorcontrib>Kraus, William E.</creatorcontrib><creatorcontrib>Hauser, Elizabeth R.</creatorcontrib><creatorcontrib>Diaz-Sanchez, David</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><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>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</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>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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 Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American heart journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weaver, Anne M.</au><au>McGuinn, Laura A.</au><au>Neas, Lucas</au><au>Devlin, Robert B.</au><au>Dhingra, Radhika</au><au>Ward-Caviness, Cavin K.</au><au>Cascio, Wayne E.</au><au>Kraus, William E.</au><au>Hauser, Elizabeth R.</au><au>Diaz-Sanchez, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients</atitle><jtitle>The American heart journal</jtitle><addtitle>Am Heart J</addtitle><date>2022-01-01</date><risdate>2022</risdate><volume>243</volume><spage>201</spage><epage>209</epage><pages>201-209</pages><issn>0002-8703</issn><eissn>1097-6744</eissn><abstract>Neighborhood-level socioeconomic status (SES) is associated with health outcomes, including cardiovascular disease and diabetes, but these associations are rarely studied across large, diverse populations.
We used Ward's Hierarchical clustering to define eight neighborhood clusters across North Carolina using 11 census-based indicators of SES, race, housing, and urbanicity and assigned 6992 cardiac catheterization patients at Duke University Hospital from 2001 to 2010 to clusters. We examined associations between clusters and coronary artery disease index > 23 (CAD), history of myocardial infarction, hypertension, and diabetes using logistic regression adjusted for age, race, sex, body mass index, region of North Carolina, distance to Duke University Hospital, and smoking status.
Four clusters were urban, three rural, and one suburban higher-middle-SES (referent). We observed greater odds of myocardial infarction in all six clusters with lower or middle-SES. Odds of CAD were elevated in the rural cluster that was low-SES and plurality Black (OR 1.16, 95% CI 0.94-1.43) and in the rural cluster that was majority American Indian (OR 1.31, 95% CI 0.91-1.90). Odds of diabetes and hypertension were elevated in two urban and one rural low- and lower-middle SES clusters with large Black populations.
We observed higher prevalence of cardiovascular disease and diabetes in neighborhoods that were predominantly rural, low-SES, and non-White, highlighting the importance of public health and healthcare system outreach into these communities to promote cardiometabolic health and prevent and manage hypertension, diabetes and coronary artery disease.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34610283</pmid><doi>10.1016/j.ahj.2021.09.013</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1360-8093</orcidid><orcidid>https://orcid.org/0000-0002-4222-0285</orcidid><orcidid>https://orcid.org/0000-0002-6322-4349</orcidid><orcidid>https://orcid.org/0000-0002-8510-2000</orcidid><orcidid>https://orcid.org/0000-0003-1930-9684</orcidid><orcidid>https://orcid.org/0000-0003-0202-1860</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0002-8703 |
ispartof | The American heart journal, 2022-01, Vol.243, p.201-209 |
issn | 0002-8703 1097-6744 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8633144 |
source | MEDLINE; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland |
subjects | Body mass Body mass index Body size Cardiac Catheterization Cardiovascular disease Cardiovascular diseases Catheterization Cluster analysis Clustering Coronary artery Coronary artery disease Coronary Artery Disease - epidemiology Coronary vessels Demographics Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Dormitories Health care Heart attacks Heart diseases Housing Humans Hypertension Hypertension - epidemiology Intubation Medical records Myocardial infarction Myocardial Infarction - epidemiology Native North Americans Neighborhoods Nursing homes Outdoor air quality Patients Population Populations Public health Race Residence Characteristics Rural areas Social Class Sociodemographics Socioeconomic Factors Socioeconomics Suburban areas Urban areas Vein & artery diseases |
title | Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T06%3A03%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Associations%20between%20neighborhood%20socioeconomic%20cluster%20and%20hypertension,%20diabetes,%20myocardial%20infarction,%20and%20coronary%20artery%20disease%20within%20a%20cohort%20of%20cardiac%20catheterization%20patients&rft.jtitle=The%20American%20heart%20journal&rft.au=Weaver,%20Anne%20M.&rft.date=2022-01-01&rft.volume=243&rft.spage=201&rft.epage=209&rft.pages=201-209&rft.issn=0002-8703&rft.eissn=1097-6744&rft_id=info:doi/10.1016/j.ahj.2021.09.013&rft_dat=%3Cproquest_pubme%3E2602992476%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2602992476&rft_id=info:pmid/34610283&rft_els_id=S000287032100243X&rfr_iscdi=true |