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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
Main Authors: 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
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cited_by cdi_FETCH-LOGICAL-c396t-783368554ee57e64f111101dce713f8ab5a9c2540f5de83ab5395c64f6d6ae053
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creator Mamudu, Hadii M.
Jones, Antwan
Paul, Timir K.
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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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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. 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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. 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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. ; 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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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ispartof Journal of diabetes and its complications, 2021-04, Vol.35 (4), p.107851-107851, Article 107851
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1873-460X
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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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