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The co-existence of diabetes and subclinical atherosclerosis in rural central Appalachia: Do residential characteristics matter?
Aim Disparities exist in cardiovascular diseases (CVD) and diabetes in the United States (U.S.) with Central Appalachia having disproportionate burden. This study examined prevalence and correlates of CVD risk-factors among patients with diabetes/subclinical atherosclerosis in Central Appalachia. Du...
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Published in: | Journal of diabetes and its complications 2021-04, Vol.35 (4), p.107851-107851, Article 107851 |
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container_end_page | 107851 |
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container_start_page | 107851 |
container_title | Journal of diabetes and its complications |
container_volume | 35 |
creator | Mamudu, Hadii M. Jones, Antwan Paul, Timir K. Osedeme, Fenose Stewart, David Alamian, Arsham Wang, Liang Orimaye, Sylvester Bledsoe, James Poole, Amy Blackwell, Gerald Budoff, Mathew |
description | Aim
Disparities exist in cardiovascular diseases (CVD) and diabetes in the United States (U.S.) with Central Appalachia having disproportionate burden. This study examined prevalence and correlates of CVD risk-factors among patients with diabetes/subclinical atherosclerosis in Central Appalachia.
During 2012–2016, 3000 patients from Central Appalachia were screened for subclinical atherosclerosis, using coronary artery calcium (CAC) scores; 419 participants had diabetes. Patients were categorized into four groups, with emphasis on those having subclinical atherosclerosis, CAC score ≥ 1. Descriptive statistics and multilevel multinomial logistic regression were conducted to identify CVD risk and spatial factors associated with co-existence of diabetes and subclinical atherosclerosis.
Among participants, prevalence of CVD risk-factors ranged from 11.7% for current smokers to 69.2% for those with CVD family history. Average BMI was 29.8. Compared to patients with diabetes only, age [RR = 1.07; p ≤ 0.0001], being male [RR = 5.33; p ≤ 0.0001], having hypertension [RR = 2.37; p ≤ 0.05] and being a former smoker were associated with increased likelihood of having diabetes/subclinical atherosclerosis. At the zip-code level, unemployment rate [RR = 1.37; p ≤ 0.05] was significantly associated with having diabetes/subclinical atherosclerosis.
Consistent with clinical guidelines, study results suggest the need to integrate CAC screening into primary care diabetes programs while addressing spatial issues that predispose patients to have diabetes/subclinical atherosclerosis.
•About1 in 3 of the study participant had both diabetes and subclinical atherosclerosis.•Residential factors were associated with coexisting diabetes and subclinical atherosclerosis.•Geographic units are important when working with populations at risk for diabetes. |
doi_str_mv | 10.1016/j.jdiacomp.2021.107851 |
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Disparities exist in cardiovascular diseases (CVD) and diabetes in the United States (U.S.) with Central Appalachia having disproportionate burden. This study examined prevalence and correlates of CVD risk-factors among patients with diabetes/subclinical atherosclerosis in Central Appalachia.
During 2012–2016, 3000 patients from Central Appalachia were screened for subclinical atherosclerosis, using coronary artery calcium (CAC) scores; 419 participants had diabetes. Patients were categorized into four groups, with emphasis on those having subclinical atherosclerosis, CAC score ≥ 1. Descriptive statistics and multilevel multinomial logistic regression were conducted to identify CVD risk and spatial factors associated with co-existence of diabetes and subclinical atherosclerosis.
Among participants, prevalence of CVD risk-factors ranged from 11.7% for current smokers to 69.2% for those with CVD family history. Average BMI was 29.8. Compared to patients with diabetes only, age [RR = 1.07; p ≤ 0.0001], being male [RR = 5.33; p ≤ 0.0001], having hypertension [RR = 2.37; p ≤ 0.05] and being a former smoker were associated with increased likelihood of having diabetes/subclinical atherosclerosis. At the zip-code level, unemployment rate [RR = 1.37; p ≤ 0.05] was significantly associated with having diabetes/subclinical atherosclerosis.
Consistent with clinical guidelines, study results suggest the need to integrate CAC screening into primary care diabetes programs while addressing spatial issues that predispose patients to have diabetes/subclinical atherosclerosis.
•About1 in 3 of the study participant had both diabetes and subclinical atherosclerosis.•Residential factors were associated with coexisting diabetes and subclinical atherosclerosis.•Geographic units are important when working with populations at risk for diabetes.</description><identifier>ISSN: 1056-8727</identifier><identifier>EISSN: 1873-460X</identifier><identifier>DOI: 10.1016/j.jdiacomp.2021.107851</identifier><identifier>PMID: 33468398</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Age ; Appalachia ; Appalachian Region - epidemiology ; Atherosclerosis ; Atherosclerosis - complications ; Atherosclerosis - epidemiology ; Body mass index ; Cardiovascular disease ; Cardiovascular Diseases ; Chronic illnesses ; Clinical practice guidelines ; Coronary Artery Disease - complications ; Coronary Artery Disease - epidemiology ; Coronary vessels ; Diabetes ; Diabetes Mellitus - epidemiology ; Economic conditions ; Economic indicators ; Economic statistics ; Family medical history ; Females ; Food stamps ; Heart rate ; Humans ; Hypertension ; Male ; Medical referrals ; Population ; Public assistance programs ; Risk Factors ; Tobacco ; Unemployment ; Variables</subject><ispartof>Journal of diabetes and its complications, 2021-04, Vol.35 (4), p.107851-107851, Article 107851</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><rights>2021. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-783368554ee57e64f111101dce713f8ab5a9c2540f5de83ab5395c64f6d6ae053</citedby><cites>FETCH-LOGICAL-c396t-783368554ee57e64f111101dce713f8ab5a9c2540f5de83ab5395c64f6d6ae053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33468398$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mamudu, Hadii M.</creatorcontrib><creatorcontrib>Jones, Antwan</creatorcontrib><creatorcontrib>Paul, Timir K.</creatorcontrib><creatorcontrib>Osedeme, Fenose</creatorcontrib><creatorcontrib>Stewart, David</creatorcontrib><creatorcontrib>Alamian, Arsham</creatorcontrib><creatorcontrib>Wang, Liang</creatorcontrib><creatorcontrib>Orimaye, Sylvester</creatorcontrib><creatorcontrib>Bledsoe, James</creatorcontrib><creatorcontrib>Poole, Amy</creatorcontrib><creatorcontrib>Blackwell, Gerald</creatorcontrib><creatorcontrib>Budoff, Mathew</creatorcontrib><title>The co-existence of diabetes and subclinical atherosclerosis in rural central Appalachia: Do residential characteristics matter?</title><title>Journal of diabetes and its complications</title><addtitle>J Diabetes Complications</addtitle><description>Aim
Disparities exist in cardiovascular diseases (CVD) and diabetes in the United States (U.S.) with Central Appalachia having disproportionate burden. This study examined prevalence and correlates of CVD risk-factors among patients with diabetes/subclinical atherosclerosis in Central Appalachia.
During 2012–2016, 3000 patients from Central Appalachia were screened for subclinical atherosclerosis, using coronary artery calcium (CAC) scores; 419 participants had diabetes. Patients were categorized into four groups, with emphasis on those having subclinical atherosclerosis, CAC score ≥ 1. Descriptive statistics and multilevel multinomial logistic regression were conducted to identify CVD risk and spatial factors associated with co-existence of diabetes and subclinical atherosclerosis.
Among participants, prevalence of CVD risk-factors ranged from 11.7% for current smokers to 69.2% for those with CVD family history. Average BMI was 29.8. Compared to patients with diabetes only, age [RR = 1.07; p ≤ 0.0001], being male [RR = 5.33; p ≤ 0.0001], having hypertension [RR = 2.37; p ≤ 0.05] and being a former smoker were associated with increased likelihood of having diabetes/subclinical atherosclerosis. At the zip-code level, unemployment rate [RR = 1.37; p ≤ 0.05] was significantly associated with having diabetes/subclinical atherosclerosis.
Consistent with clinical guidelines, study results suggest the need to integrate CAC screening into primary care diabetes programs while addressing spatial issues that predispose patients to have diabetes/subclinical atherosclerosis.
•About1 in 3 of the study participant had both diabetes and subclinical atherosclerosis.•Residential factors were associated with coexisting diabetes and subclinical atherosclerosis.•Geographic units are important when working with populations at risk for diabetes.</description><subject>Age</subject><subject>Appalachia</subject><subject>Appalachian Region - epidemiology</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - complications</subject><subject>Atherosclerosis - epidemiology</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular Diseases</subject><subject>Chronic illnesses</subject><subject>Clinical practice guidelines</subject><subject>Coronary Artery Disease - complications</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary vessels</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Economic conditions</subject><subject>Economic indicators</subject><subject>Economic statistics</subject><subject>Family medical history</subject><subject>Females</subject><subject>Food stamps</subject><subject>Heart rate</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Male</subject><subject>Medical referrals</subject><subject>Population</subject><subject>Public assistance programs</subject><subject>Risk Factors</subject><subject>Tobacco</subject><subject>Unemployment</subject><subject>Variables</subject><issn>1056-8727</issn><issn>1873-460X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkctu1TAQhiNERUvhFSpLbNjkYMeXOGygKpciVWJTJHaWz3ii4yiJg-1UsOPR6-i0LNjUC8-M55sZa_6qumB0xyhT74bd4LyFMC27hjasPLZasmfVGdMtr4WiP58Xn0pV67ZpT6uXKQ2UUiUle1Gdci6U5p0-q_7eHpBAqPG3TxlnQBJ6UjrvMWMidnYkrXsY_ezBjsTmA8aQYNxun4ifSVxjSQDOebOXy2JHCwdv35NPgURM3pWU35CDjRYyxjLIQyKTzSX48Ko66e2Y8PWDPa9-fPl8e3Vd33z_-u3q8qYG3qlct5pzpaUUiLJFJXpWDmUOsGW813YvbQeNFLSXDjUvMe8kFE45ZZFKfl69PfZdYvi1Yspm8glwHO2MYU2mEW0nGt5IVtA3_6FDWONcfleoTmglVLNR6khB2UWK2Jsl-snGP4ZRs2lkBvOokdk0MkeNSuHFQ_t1P6H7V_YoSgE-HgEs-7jzGE0Cv2njfETIxgX_1Ix78VGnQw</recordid><startdate>202104</startdate><enddate>202104</enddate><creator>Mamudu, Hadii M.</creator><creator>Jones, Antwan</creator><creator>Paul, Timir K.</creator><creator>Osedeme, Fenose</creator><creator>Stewart, David</creator><creator>Alamian, Arsham</creator><creator>Wang, Liang</creator><creator>Orimaye, Sylvester</creator><creator>Bledsoe, James</creator><creator>Poole, Amy</creator><creator>Blackwell, Gerald</creator><creator>Budoff, Mathew</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6X</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>202104</creationdate><title>The co-existence of diabetes and subclinical atherosclerosis in rural central Appalachia: Do residential characteristics matter?</title><author>Mamudu, Hadii M. ; Jones, Antwan ; Paul, Timir K. ; Osedeme, Fenose ; Stewart, David ; Alamian, Arsham ; Wang, Liang ; Orimaye, Sylvester ; Bledsoe, James ; Poole, Amy ; Blackwell, Gerald ; Budoff, Mathew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-783368554ee57e64f111101dce713f8ab5a9c2540f5de83ab5395c64f6d6ae053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Appalachia</topic><topic>Appalachian Region - epidemiology</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - complications</topic><topic>Atherosclerosis - epidemiology</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular Diseases</topic><topic>Chronic illnesses</topic><topic>Clinical practice guidelines</topic><topic>Coronary Artery Disease - complications</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary vessels</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Economic conditions</topic><topic>Economic indicators</topic><topic>Economic statistics</topic><topic>Family medical history</topic><topic>Females</topic><topic>Food stamps</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Male</topic><topic>Medical referrals</topic><topic>Population</topic><topic>Public assistance programs</topic><topic>Risk Factors</topic><topic>Tobacco</topic><topic>Unemployment</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mamudu, Hadii M.</creatorcontrib><creatorcontrib>Jones, Antwan</creatorcontrib><creatorcontrib>Paul, Timir K.</creatorcontrib><creatorcontrib>Osedeme, Fenose</creatorcontrib><creatorcontrib>Stewart, David</creatorcontrib><creatorcontrib>Alamian, Arsham</creatorcontrib><creatorcontrib>Wang, Liang</creatorcontrib><creatorcontrib>Orimaye, Sylvester</creatorcontrib><creatorcontrib>Bledsoe, James</creatorcontrib><creatorcontrib>Poole, Amy</creatorcontrib><creatorcontrib>Blackwell, Gerald</creatorcontrib><creatorcontrib>Budoff, Mathew</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>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>British Nursing Index (BNI) (1985 to Present)</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>British Nursing Index</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>PML(ProQuest Medical Library)</collection><collection>ProQuest_Research Library</collection><collection>Research Library (Corporate)</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>MEDLINE - Academic</collection><jtitle>Journal of diabetes and its complications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mamudu, Hadii M.</au><au>Jones, Antwan</au><au>Paul, Timir K.</au><au>Osedeme, Fenose</au><au>Stewart, David</au><au>Alamian, Arsham</au><au>Wang, Liang</au><au>Orimaye, Sylvester</au><au>Bledsoe, James</au><au>Poole, Amy</au><au>Blackwell, Gerald</au><au>Budoff, Mathew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The co-existence of diabetes and subclinical atherosclerosis in rural central Appalachia: Do residential characteristics matter?</atitle><jtitle>Journal of diabetes and its complications</jtitle><addtitle>J Diabetes Complications</addtitle><date>2021-04</date><risdate>2021</risdate><volume>35</volume><issue>4</issue><spage>107851</spage><epage>107851</epage><pages>107851-107851</pages><artnum>107851</artnum><issn>1056-8727</issn><eissn>1873-460X</eissn><abstract>Aim
Disparities exist in cardiovascular diseases (CVD) and diabetes in the United States (U.S.) with Central Appalachia having disproportionate burden. This study examined prevalence and correlates of CVD risk-factors among patients with diabetes/subclinical atherosclerosis in Central Appalachia.
During 2012–2016, 3000 patients from Central Appalachia were screened for subclinical atherosclerosis, using coronary artery calcium (CAC) scores; 419 participants had diabetes. Patients were categorized into four groups, with emphasis on those having subclinical atherosclerosis, CAC score ≥ 1. Descriptive statistics and multilevel multinomial logistic regression were conducted to identify CVD risk and spatial factors associated with co-existence of diabetes and subclinical atherosclerosis.
Among participants, prevalence of CVD risk-factors ranged from 11.7% for current smokers to 69.2% for those with CVD family history. Average BMI was 29.8. Compared to patients with diabetes only, age [RR = 1.07; p ≤ 0.0001], being male [RR = 5.33; p ≤ 0.0001], having hypertension [RR = 2.37; p ≤ 0.05] and being a former smoker were associated with increased likelihood of having diabetes/subclinical atherosclerosis. At the zip-code level, unemployment rate [RR = 1.37; p ≤ 0.05] was significantly associated with having diabetes/subclinical atherosclerosis.
Consistent with clinical guidelines, study results suggest the need to integrate CAC screening into primary care diabetes programs while addressing spatial issues that predispose patients to have diabetes/subclinical atherosclerosis.
•About1 in 3 of the study participant had both diabetes and subclinical atherosclerosis.•Residential factors were associated with coexisting diabetes and subclinical atherosclerosis.•Geographic units are important when working with populations at risk for diabetes.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33468398</pmid><doi>10.1016/j.jdiacomp.2021.107851</doi><tpages>1</tpages></addata></record> |
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source | ScienceDirect Freedom Collection |
subjects | Age Appalachia Appalachian Region - epidemiology Atherosclerosis Atherosclerosis - complications Atherosclerosis - epidemiology Body mass index Cardiovascular disease Cardiovascular Diseases Chronic illnesses Clinical practice guidelines Coronary Artery Disease - complications Coronary Artery Disease - epidemiology Coronary vessels Diabetes Diabetes Mellitus - epidemiology Economic conditions Economic indicators Economic statistics Family medical history Females Food stamps Heart rate Humans Hypertension Male Medical referrals Population Public assistance programs Risk Factors Tobacco Unemployment Variables |
title | The co-existence of diabetes and subclinical atherosclerosis in rural central Appalachia: Do residential characteristics matter? |
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