Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: the EPIDEMCA study
Objective Data on peripheral artery disease in Africa are sparse and limited to urban areas. Given the urban/rural socio-economical gradient in these countries, we sought to determine the prevalence and risk factors of peripheral artery disease in urban and rural areas of two countries in Central Af...
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| Veröffentlicht in: | European journal of preventive cardiology 2015-11, Vol.22 (11), p.1462-1472 |
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| creator | Desormais, Ileana Aboyans, Victor Guerchet, Maëlenn Ndamba-Bandzouzi, Bébène Mbelesso, Pascal Dantoine, Thierry Mohty, Dania Marin, Benoît Preux, Pierre Marie Lacroix, Philippe |
| description | Objective
Data on peripheral artery disease in Africa are sparse and limited to urban areas. Given the urban/rural socio-economical gradient in these countries, we sought to determine the prevalence and risk factors of peripheral artery disease in urban and rural areas of two countries in Central Africa.
Methods
Individuals ≥65 years old living in two urban and rural areas of the Republic of Central Africa (ROC) and the Central African Republic (CAR) were invited. Demographic, clinical and biological data were collected. Ankle-brachial index ≤0.90 defined peripheral artery disease.
Results
Among the 1871 participants (age 73 years, 62% female) the prevalence of peripheral artery disease was 14.8%, higher in ROC than in CAR (17.4% vs. 12.2%, p = 0.007) and higher in females than males (16.6% vs. 11.9%, p = 0.012). The prevalence of peripheral artery disease increased with age, respectively at 10.9%, 14.9%, 15.1% and 22.2% for age bands of 65–69, 70–74, 75–79 and 80+years (p |
| doi_str_mv | 10.1177/2047487314557945 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01204817v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_2047487314557945</sage_id><sourcerecordid>1722425633</sourcerecordid><originalsourceid>FETCH-LOGICAL-c437t-e030f1e30309d8691ab7ad7b2e9b779234ba8d2cdfe5b35c569a5c9989eed37b3</originalsourceid><addsrcrecordid>eNp1kc1v1DAQxS0EolXpnRPyEQ4Bf8Y2t9V2oZUW0QOcrUk8YVNlk2AnlfbGn45Dyh6Q8GWsN-_9DvMIec3Ze86N-SCYMsoayZXWxin9jFwuUqGs5c_PfyMvyHVKDyy_kglh7UtyIbQ0pVXmkvy6j_gIHfY10qGhI8Z2PGCEjkKcMJ5oaBNCQtr2dDogxS5g7E50HMa5g6kd-mUzxwp6Cn2gcV6zObPwtthPi7BpYlvDxz-I3f3dze7LdkPTNIfTK_KigS7h9dO8It8_7b5tb4v91893282-qJU0U4FMsoajzMMFWzoOlYFgKoGuMsYJqSqwQdShQV1JXevSga6dsw4xSFPJK_Ju5R6g82NsjxBPfoDW3272ftEYzxez3Dzy7H27esc4_JwxTf7Yphq7Dnoc5uS5EUIJXUqZrWy11nFIKWJzZnPml5r8vzXlyJsn-lwdMZwDf0vJhmI1JPiB_mGYY58v83_gbzVimVY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1722425633</pqid></control><display><type>article</type><title>Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: the EPIDEMCA study</title><source>Access via SAGE</source><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Alma/SFX Local Collection</source><creator>Desormais, Ileana ; Aboyans, Victor ; Guerchet, Maëlenn ; Ndamba-Bandzouzi, Bébène ; Mbelesso, Pascal ; Dantoine, Thierry ; Mohty, Dania ; Marin, Benoît ; Preux, Pierre Marie ; Lacroix, Philippe</creator><creatorcontrib>Desormais, Ileana ; Aboyans, Victor ; Guerchet, Maëlenn ; Ndamba-Bandzouzi, Bébène ; Mbelesso, Pascal ; Dantoine, Thierry ; Mohty, Dania ; Marin, Benoît ; Preux, Pierre Marie ; Lacroix, Philippe ; EPIDEMCA investigators</creatorcontrib><description>Objective
Data on peripheral artery disease in Africa are sparse and limited to urban areas. Given the urban/rural socio-economical gradient in these countries, we sought to determine the prevalence and risk factors of peripheral artery disease in urban and rural areas of two countries in Central Africa.
Methods
Individuals ≥65 years old living in two urban and rural areas of the Republic of Central Africa (ROC) and the Central African Republic (CAR) were invited. Demographic, clinical and biological data were collected. Ankle-brachial index ≤0.90 defined peripheral artery disease.
Results
Among the 1871 participants (age 73 years, 62% female) the prevalence of peripheral artery disease was 14.8%, higher in ROC than in CAR (17.4% vs. 12.2%, p = 0.007) and higher in females than males (16.6% vs. 11.9%, p = 0.012). The prevalence of peripheral artery disease increased with age, respectively at 10.9%, 14.9%, 15.1% and 22.2% for age bands of 65–69, 70–74, 75–79 and 80+years (p < 0.001). Higher rates of peripheral artery disease were found in urban areas in ROC (20.7% vs. 14.4% in rural areas, p = 0.011), but not in CAR (11.5% vs. 12.9%, p = NS). In multivariate analysis, peripheral artery disease was significantly associated with age (odds ratio (OR): 1.03; p = 0.004), dyslipidaemia (OR: 1.88; p = 0.003), smoking (OR: 1.78; p = 0.003), obesity (OR: 1.98; p = 0.034) and underweight (OR: 1.49; p = 0.023). Regular alcohol drinking was associated with decreased risk of peripheral artery disease (OR: 0.73; p = 0.044).
Conclusion
The prevalence of peripheral artery disease in the elderly is high in Africa, especially in females. In ROC, with a higher urban-rural socio-economic gradient, peripheral artery disease is more frequent in the urban areas.</description><identifier>ISSN: 2047-4873</identifier><identifier>EISSN: 2047-4881</identifier><identifier>DOI: 10.1177/2047487314557945</identifier><identifier>PMID: 25376847</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Africa, Central - epidemiology ; Age Distribution ; Age Factors ; Aged ; Aged, 80 and over ; Ankle Brachial Index ; Comorbidity ; Cross-Sectional Studies ; Female ; Humans ; Life Sciences ; Life Style ; Logistic Models ; Male ; Multivariate Analysis ; Odds Ratio ; Peripheral Arterial Disease - diagnosis ; Peripheral Arterial Disease - epidemiology ; Prevalence ; Risk Assessment ; Risk Factors ; Rural Health ; Santé publique et épidémiologie ; Sex Distribution ; Sex Factors ; Socioeconomic Factors ; Time Factors ; Urban Health</subject><ispartof>European journal of preventive cardiology, 2015-11, Vol.22 (11), p.1462-1472</ispartof><rights>The European Society of Cardiology 2014</rights><rights>The European Society of Cardiology 2014.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-e030f1e30309d8691ab7ad7b2e9b779234ba8d2cdfe5b35c569a5c9989eed37b3</citedby><cites>FETCH-LOGICAL-c437t-e030f1e30309d8691ab7ad7b2e9b779234ba8d2cdfe5b35c569a5c9989eed37b3</cites><orcidid>0000-0002-0470-5556 ; 0000-0002-2171-2977 ; 0000-0001-8857-0910</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/2047487314557945$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/2047487314557945$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>230,314,780,784,885,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25376847$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://unilim.hal.science/hal-01204817$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Desormais, Ileana</creatorcontrib><creatorcontrib>Aboyans, Victor</creatorcontrib><creatorcontrib>Guerchet, Maëlenn</creatorcontrib><creatorcontrib>Ndamba-Bandzouzi, Bébène</creatorcontrib><creatorcontrib>Mbelesso, Pascal</creatorcontrib><creatorcontrib>Dantoine, Thierry</creatorcontrib><creatorcontrib>Mohty, Dania</creatorcontrib><creatorcontrib>Marin, Benoît</creatorcontrib><creatorcontrib>Preux, Pierre Marie</creatorcontrib><creatorcontrib>Lacroix, Philippe</creatorcontrib><creatorcontrib>EPIDEMCA investigators</creatorcontrib><title>Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: the EPIDEMCA study</title><title>European journal of preventive cardiology</title><addtitle>Eur J Cardiovasc Prev Rehabil</addtitle><description>Objective
Data on peripheral artery disease in Africa are sparse and limited to urban areas. Given the urban/rural socio-economical gradient in these countries, we sought to determine the prevalence and risk factors of peripheral artery disease in urban and rural areas of two countries in Central Africa.
Methods
Individuals ≥65 years old living in two urban and rural areas of the Republic of Central Africa (ROC) and the Central African Republic (CAR) were invited. Demographic, clinical and biological data were collected. Ankle-brachial index ≤0.90 defined peripheral artery disease.
Results
Among the 1871 participants (age 73 years, 62% female) the prevalence of peripheral artery disease was 14.8%, higher in ROC than in CAR (17.4% vs. 12.2%, p = 0.007) and higher in females than males (16.6% vs. 11.9%, p = 0.012). The prevalence of peripheral artery disease increased with age, respectively at 10.9%, 14.9%, 15.1% and 22.2% for age bands of 65–69, 70–74, 75–79 and 80+years (p < 0.001). Higher rates of peripheral artery disease were found in urban areas in ROC (20.7% vs. 14.4% in rural areas, p = 0.011), but not in CAR (11.5% vs. 12.9%, p = NS). In multivariate analysis, peripheral artery disease was significantly associated with age (odds ratio (OR): 1.03; p = 0.004), dyslipidaemia (OR: 1.88; p = 0.003), smoking (OR: 1.78; p = 0.003), obesity (OR: 1.98; p = 0.034) and underweight (OR: 1.49; p = 0.023). Regular alcohol drinking was associated with decreased risk of peripheral artery disease (OR: 0.73; p = 0.044).
Conclusion
The prevalence of peripheral artery disease in the elderly is high in Africa, especially in females. In ROC, with a higher urban-rural socio-economic gradient, peripheral artery disease is more frequent in the urban areas.</description><subject>Africa, Central - epidemiology</subject><subject>Age Distribution</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Ankle Brachial Index</subject><subject>Comorbidity</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Life Style</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Multivariate Analysis</subject><subject>Odds Ratio</subject><subject>Peripheral Arterial Disease - diagnosis</subject><subject>Peripheral Arterial Disease - epidemiology</subject><subject>Prevalence</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Rural Health</subject><subject>Santé publique et épidémiologie</subject><subject>Sex Distribution</subject><subject>Sex Factors</subject><subject>Socioeconomic Factors</subject><subject>Time Factors</subject><subject>Urban Health</subject><issn>2047-4873</issn><issn>2047-4881</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1v1DAQxS0EolXpnRPyEQ4Bf8Y2t9V2oZUW0QOcrUk8YVNlk2AnlfbGn45Dyh6Q8GWsN-_9DvMIec3Ze86N-SCYMsoayZXWxin9jFwuUqGs5c_PfyMvyHVKDyy_kglh7UtyIbQ0pVXmkvy6j_gIHfY10qGhI8Z2PGCEjkKcMJ5oaBNCQtr2dDogxS5g7E50HMa5g6kd-mUzxwp6Cn2gcV6zObPwtthPi7BpYlvDxz-I3f3dze7LdkPTNIfTK_KigS7h9dO8It8_7b5tb4v91893282-qJU0U4FMsoajzMMFWzoOlYFgKoGuMsYJqSqwQdShQV1JXevSga6dsw4xSFPJK_Ju5R6g82NsjxBPfoDW3272ftEYzxez3Dzy7H27esc4_JwxTf7Yphq7Dnoc5uS5EUIJXUqZrWy11nFIKWJzZnPml5r8vzXlyJsn-lwdMZwDf0vJhmI1JPiB_mGYY58v83_gbzVimVY</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Desormais, Ileana</creator><creator>Aboyans, Victor</creator><creator>Guerchet, Maëlenn</creator><creator>Ndamba-Bandzouzi, Bébène</creator><creator>Mbelesso, Pascal</creator><creator>Dantoine, Thierry</creator><creator>Mohty, Dania</creator><creator>Marin, Benoît</creator><creator>Preux, Pierre Marie</creator><creator>Lacroix, Philippe</creator><general>SAGE Publications</general><general>Sage Publications</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>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-0470-5556</orcidid><orcidid>https://orcid.org/0000-0002-2171-2977</orcidid><orcidid>https://orcid.org/0000-0001-8857-0910</orcidid></search><sort><creationdate>20151101</creationdate><title>Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: the EPIDEMCA study</title><author>Desormais, Ileana ; Aboyans, Victor ; Guerchet, Maëlenn ; Ndamba-Bandzouzi, Bébène ; Mbelesso, Pascal ; Dantoine, Thierry ; Mohty, Dania ; Marin, Benoît ; Preux, Pierre Marie ; Lacroix, Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-e030f1e30309d8691ab7ad7b2e9b779234ba8d2cdfe5b35c569a5c9989eed37b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Africa, Central - epidemiology</topic><topic>Age Distribution</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Ankle Brachial Index</topic><topic>Comorbidity</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Life Style</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Multivariate Analysis</topic><topic>Odds Ratio</topic><topic>Peripheral Arterial Disease - diagnosis</topic><topic>Peripheral Arterial Disease - epidemiology</topic><topic>Prevalence</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Rural Health</topic><topic>Santé publique et épidémiologie</topic><topic>Sex Distribution</topic><topic>Sex Factors</topic><topic>Socioeconomic Factors</topic><topic>Time Factors</topic><topic>Urban Health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Desormais, Ileana</creatorcontrib><creatorcontrib>Aboyans, Victor</creatorcontrib><creatorcontrib>Guerchet, Maëlenn</creatorcontrib><creatorcontrib>Ndamba-Bandzouzi, Bébène</creatorcontrib><creatorcontrib>Mbelesso, Pascal</creatorcontrib><creatorcontrib>Dantoine, Thierry</creatorcontrib><creatorcontrib>Mohty, Dania</creatorcontrib><creatorcontrib>Marin, Benoît</creatorcontrib><creatorcontrib>Preux, Pierre Marie</creatorcontrib><creatorcontrib>Lacroix, Philippe</creatorcontrib><creatorcontrib>EPIDEMCA investigators</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>European journal of preventive cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Desormais, Ileana</au><au>Aboyans, Victor</au><au>Guerchet, Maëlenn</au><au>Ndamba-Bandzouzi, Bébène</au><au>Mbelesso, Pascal</au><au>Dantoine, Thierry</au><au>Mohty, Dania</au><au>Marin, Benoît</au><au>Preux, Pierre Marie</au><au>Lacroix, Philippe</au><aucorp>EPIDEMCA investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: the EPIDEMCA study</atitle><jtitle>European journal of preventive cardiology</jtitle><addtitle>Eur J Cardiovasc Prev Rehabil</addtitle><date>2015-11-01</date><risdate>2015</risdate><volume>22</volume><issue>11</issue><spage>1462</spage><epage>1472</epage><pages>1462-1472</pages><issn>2047-4873</issn><eissn>2047-4881</eissn><abstract>Objective
Data on peripheral artery disease in Africa are sparse and limited to urban areas. Given the urban/rural socio-economical gradient in these countries, we sought to determine the prevalence and risk factors of peripheral artery disease in urban and rural areas of two countries in Central Africa.
Methods
Individuals ≥65 years old living in two urban and rural areas of the Republic of Central Africa (ROC) and the Central African Republic (CAR) were invited. Demographic, clinical and biological data were collected. Ankle-brachial index ≤0.90 defined peripheral artery disease.
Results
Among the 1871 participants (age 73 years, 62% female) the prevalence of peripheral artery disease was 14.8%, higher in ROC than in CAR (17.4% vs. 12.2%, p = 0.007) and higher in females than males (16.6% vs. 11.9%, p = 0.012). The prevalence of peripheral artery disease increased with age, respectively at 10.9%, 14.9%, 15.1% and 22.2% for age bands of 65–69, 70–74, 75–79 and 80+years (p < 0.001). Higher rates of peripheral artery disease were found in urban areas in ROC (20.7% vs. 14.4% in rural areas, p = 0.011), but not in CAR (11.5% vs. 12.9%, p = NS). In multivariate analysis, peripheral artery disease was significantly associated with age (odds ratio (OR): 1.03; p = 0.004), dyslipidaemia (OR: 1.88; p = 0.003), smoking (OR: 1.78; p = 0.003), obesity (OR: 1.98; p = 0.034) and underweight (OR: 1.49; p = 0.023). Regular alcohol drinking was associated with decreased risk of peripheral artery disease (OR: 0.73; p = 0.044).
Conclusion
The prevalence of peripheral artery disease in the elderly is high in Africa, especially in females. In ROC, with a higher urban-rural socio-economic gradient, peripheral artery disease is more frequent in the urban areas.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>25376847</pmid><doi>10.1177/2047487314557945</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0470-5556</orcidid><orcidid>https://orcid.org/0000-0002-2171-2977</orcidid><orcidid>https://orcid.org/0000-0001-8857-0910</orcidid></addata></record> |
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| source | Access via SAGE; MEDLINE; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Africa, Central - epidemiology Age Distribution Age Factors Aged Aged, 80 and over Ankle Brachial Index Comorbidity Cross-Sectional Studies Female Humans Life Sciences Life Style Logistic Models Male Multivariate Analysis Odds Ratio Peripheral Arterial Disease - diagnosis Peripheral Arterial Disease - epidemiology Prevalence Risk Assessment Risk Factors Rural Health Santé publique et épidémiologie Sex Distribution Sex Factors Socioeconomic Factors Time Factors Urban Health |
| title | Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: the EPIDEMCA study |
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