Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study
Although socioeconomic status (SES) is considered a risk factor for cardio-cerebrovascular diseases (CCVDs), few studies have examined this association. In this cross-sectional study, we aimed to assess the prevalence and trends of CCVDs across different SES groups over a 12-year period in a represe...
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creator | Roh, Ji Woong Bae, SungA Kim, Moon-Hyun Park, Je-Wook Heo, Seok-Jae Kim, Minkwan Lee, Oh-Hyun Kim, Yongcheol Im, Eui Uhm, Jae-Sun Jung, In Hyun Cho, Deok-Kyu Choi, Donghoon |
description | Although socioeconomic status (SES) is considered a risk factor for cardio-cerebrovascular diseases (CCVDs), few studies have examined this association. In this cross-sectional study, we aimed to assess the prevalence and trends of CCVDs across different SES groups over a 12-year period in a representative Korean population.
We analysed 47 745 economically active adults aged ≥30 and 30 increased, whereas CCVD prevalence did not change significantly (P = 0.410) over the study period. Low education (odds ratio (OR) = 1.24; 95% confidence interval (CI) = 1.04-1.47, P |
doi_str_mv | 10.7189/jogh.14.04210 |
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We analysed 47 745 economically active adults aged ≥30 and <65 years from 97 622 patients in the Korean National Health and Nutrition Examination Survey (2007-18), where a new independent sample of the population was examined each year. We categorised the participants into four groups based on education level and income. The prevalence of hypertension, diabetes mellitus, dyslipidaemia, and CCVD, including angina, myocardial infarction, and stroke, was analysed at four-year intervals.
Average age, urban residence, white-collar occupation, and body mass index >30 increased, whereas CCVD prevalence did not change significantly (P = 0.410) over the study period. Low education (odds ratio (OR) = 1.24; 95% confidence interval (CI) = 1.04-1.47, P < 0.001) and low income (OR = 1.14; 95% CI = 1.02-1.28, P = 0.017) were significant determinants of CCVD in addition to existing traditional risk factors. CCVD prevalence was significantly higher in both the low-education and low-income groups compared to the high-education and high-income groups every four years, with no significant change in this gap over the study period (P = 0.239).
Despite the increase in the elderly population and the prevalence of obesity, the incidence of CCVDs in Korea has remained unchanged. Individuals with low education or low income had a significantly higher prevalence of CCVD, with the lowest SES group, defined by both low education and low income, consistently having the highest prevalence of CCVDs.</description><identifier>ISSN: 2047-2978</identifier><identifier>ISSN: 2047-2986</identifier><identifier>EISSN: 2047-2986</identifier><identifier>DOI: 10.7189/jogh.14.04210</identifier><identifier>PMID: 39388680</identifier><language>eng</language><publisher>Scotland: Edinburgh University Global Health Society</publisher><subject>Adult ; Cardiovascular Diseases - epidemiology ; Cerebrovascular Disorders - epidemiology ; Cross-Sectional Studies ; Education ; Exercise ; Female ; Health insurance ; Health Status Disparities ; Humans ; Hypertension ; Industrialized nations ; Low income groups ; Male ; Medical screening ; Middle Aged ; Myocardial infarction ; Nutrition ; Nutrition Surveys ; Obesity ; Prevalence ; Republic of Korea - epidemiology ; Risk Factors ; Social Class ; Socioeconomic Disparities in Health ; Socioeconomic Factors ; Socioeconomics ; Trends</subject><ispartof>Journal of global health, 2024-10, Vol.14, p.04210, Article 04210</ispartof><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved.</rights><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c302t-4b8c34b2853b5b10c569a04f399e924477fda0ab395947e18da9e4a87fe8b0833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466497/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466497/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39388680$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roh, Ji Woong</creatorcontrib><creatorcontrib>Bae, SungA</creatorcontrib><creatorcontrib>Kim, Moon-Hyun</creatorcontrib><creatorcontrib>Park, Je-Wook</creatorcontrib><creatorcontrib>Heo, Seok-Jae</creatorcontrib><creatorcontrib>Kim, Minkwan</creatorcontrib><creatorcontrib>Lee, Oh-Hyun</creatorcontrib><creatorcontrib>Kim, Yongcheol</creatorcontrib><creatorcontrib>Im, Eui</creatorcontrib><creatorcontrib>Uhm, Jae-Sun</creatorcontrib><creatorcontrib>Jung, In Hyun</creatorcontrib><creatorcontrib>Cho, Deok-Kyu</creatorcontrib><creatorcontrib>Choi, Donghoon</creatorcontrib><title>Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study</title><title>Journal of global health</title><addtitle>J Glob Health</addtitle><description>Although socioeconomic status (SES) is considered a risk factor for cardio-cerebrovascular diseases (CCVDs), few studies have examined this association. In this cross-sectional study, we aimed to assess the prevalence and trends of CCVDs across different SES groups over a 12-year period in a representative Korean population.
We analysed 47 745 economically active adults aged ≥30 and <65 years from 97 622 patients in the Korean National Health and Nutrition Examination Survey (2007-18), where a new independent sample of the population was examined each year. We categorised the participants into four groups based on education level and income. The prevalence of hypertension, diabetes mellitus, dyslipidaemia, and CCVD, including angina, myocardial infarction, and stroke, was analysed at four-year intervals.
Average age, urban residence, white-collar occupation, and body mass index >30 increased, whereas CCVD prevalence did not change significantly (P = 0.410) over the study period. Low education (odds ratio (OR) = 1.24; 95% confidence interval (CI) = 1.04-1.47, P < 0.001) and low income (OR = 1.14; 95% CI = 1.02-1.28, P = 0.017) were significant determinants of CCVD in addition to existing traditional risk factors. CCVD prevalence was significantly higher in both the low-education and low-income groups compared to the high-education and high-income groups every four years, with no significant change in this gap over the study period (P = 0.239).
Despite the increase in the elderly population and the prevalence of obesity, the incidence of CCVDs in Korea has remained unchanged. Individuals with low education or low income had a significantly higher prevalence of CCVD, with the lowest SES group, defined by both low education and low income, consistently having the highest prevalence of CCVDs.</description><subject>Adult</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cerebrovascular Disorders - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Education</subject><subject>Exercise</subject><subject>Female</subject><subject>Health insurance</subject><subject>Health Status Disparities</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Industrialized nations</subject><subject>Low income groups</subject><subject>Male</subject><subject>Medical screening</subject><subject>Middle Aged</subject><subject>Myocardial infarction</subject><subject>Nutrition</subject><subject>Nutrition Surveys</subject><subject>Obesity</subject><subject>Prevalence</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk Factors</subject><subject>Social Class</subject><subject>Socioeconomic Disparities in Health</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Trends</subject><issn>2047-2978</issn><issn>2047-2986</issn><issn>2047-2986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtLxDAUhYMoKurSrRTcuOmYV5vEjYj4AsGFug636a1m6DRj0ir-e1sfg5pNws3H4Zx7CNlndKaYNsfz8PQ8Y3JGJWd0jWxzKlXOjS7XV2-lt8heSnM6HsUE1-Um2RJGaF1quk3gPjgf0IUuLLzLap-WEH3vMWXQ1ZmDWPuQO4xYxfAKyQ0txAlDSJhOsrOsg96H7s3XmLkYUsoTumkCbZb6oX7fJRsNtAn3vu8d8nh58XB-nd_eXd2cn93mTlDe57LSTsiK60JURcWoK0oDVDbCGDRcSqWaGihUwhRGKmS6BoMStGpQV1QLsUNOv3SXQ7XA2mHXR2jtMvoFxHcbwNu_P51_tk_h1TImy1IaNSocfSvE8DJg6u3CJ4dtCx2GIVnBWCGN0VSO6OE_dB6GOGaeKD4GGt3zkcq_qM_FRGxWbhi1U4F2KtAyaT8LHPmD3xFW9E9d4gPU8piz</recordid><startdate>20241011</startdate><enddate>20241011</enddate><creator>Roh, Ji Woong</creator><creator>Bae, SungA</creator><creator>Kim, Moon-Hyun</creator><creator>Park, Je-Wook</creator><creator>Heo, Seok-Jae</creator><creator>Kim, Minkwan</creator><creator>Lee, Oh-Hyun</creator><creator>Kim, Yongcheol</creator><creator>Im, Eui</creator><creator>Uhm, Jae-Sun</creator><creator>Jung, In Hyun</creator><creator>Cho, Deok-Kyu</creator><creator>Choi, Donghoon</creator><general>Edinburgh University Global Health Society</general><general>International Society of Global Health</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>EHMNL</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20241011</creationdate><title>Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study</title><author>Roh, Ji Woong ; Bae, SungA ; Kim, Moon-Hyun ; Park, Je-Wook ; Heo, Seok-Jae ; Kim, Minkwan ; Lee, Oh-Hyun ; Kim, Yongcheol ; Im, Eui ; Uhm, Jae-Sun ; Jung, In Hyun ; Cho, Deok-Kyu ; Choi, Donghoon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c302t-4b8c34b2853b5b10c569a04f399e924477fda0ab395947e18da9e4a87fe8b0833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cerebrovascular Disorders - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Education</topic><topic>Exercise</topic><topic>Female</topic><topic>Health insurance</topic><topic>Health Status Disparities</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Industrialized nations</topic><topic>Low income groups</topic><topic>Male</topic><topic>Medical screening</topic><topic>Middle Aged</topic><topic>Myocardial infarction</topic><topic>Nutrition</topic><topic>Nutrition Surveys</topic><topic>Obesity</topic><topic>Prevalence</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk Factors</topic><topic>Social Class</topic><topic>Socioeconomic Disparities in Health</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomics</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roh, Ji Woong</creatorcontrib><creatorcontrib>Bae, SungA</creatorcontrib><creatorcontrib>Kim, Moon-Hyun</creatorcontrib><creatorcontrib>Park, Je-Wook</creatorcontrib><creatorcontrib>Heo, Seok-Jae</creatorcontrib><creatorcontrib>Kim, Minkwan</creatorcontrib><creatorcontrib>Lee, Oh-Hyun</creatorcontrib><creatorcontrib>Kim, Yongcheol</creatorcontrib><creatorcontrib>Im, Eui</creatorcontrib><creatorcontrib>Uhm, Jae-Sun</creatorcontrib><creatorcontrib>Jung, In Hyun</creatorcontrib><creatorcontrib>Cho, Deok-Kyu</creatorcontrib><creatorcontrib>Choi, Donghoon</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>UK & Ireland Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roh, Ji Woong</au><au>Bae, SungA</au><au>Kim, Moon-Hyun</au><au>Park, Je-Wook</au><au>Heo, Seok-Jae</au><au>Kim, Minkwan</au><au>Lee, Oh-Hyun</au><au>Kim, Yongcheol</au><au>Im, Eui</au><au>Uhm, Jae-Sun</au><au>Jung, In Hyun</au><au>Cho, Deok-Kyu</au><au>Choi, Donghoon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study</atitle><jtitle>Journal of global health</jtitle><addtitle>J Glob Health</addtitle><date>2024-10-11</date><risdate>2024</risdate><volume>14</volume><spage>04210</spage><pages>04210-</pages><artnum>04210</artnum><issn>2047-2978</issn><issn>2047-2986</issn><eissn>2047-2986</eissn><abstract>Although socioeconomic status (SES) is considered a risk factor for cardio-cerebrovascular diseases (CCVDs), few studies have examined this association. In this cross-sectional study, we aimed to assess the prevalence and trends of CCVDs across different SES groups over a 12-year period in a representative Korean population.
We analysed 47 745 economically active adults aged ≥30 and <65 years from 97 622 patients in the Korean National Health and Nutrition Examination Survey (2007-18), where a new independent sample of the population was examined each year. We categorised the participants into four groups based on education level and income. The prevalence of hypertension, diabetes mellitus, dyslipidaemia, and CCVD, including angina, myocardial infarction, and stroke, was analysed at four-year intervals.
Average age, urban residence, white-collar occupation, and body mass index >30 increased, whereas CCVD prevalence did not change significantly (P = 0.410) over the study period. Low education (odds ratio (OR) = 1.24; 95% confidence interval (CI) = 1.04-1.47, P < 0.001) and low income (OR = 1.14; 95% CI = 1.02-1.28, P = 0.017) were significant determinants of CCVD in addition to existing traditional risk factors. CCVD prevalence was significantly higher in both the low-education and low-income groups compared to the high-education and high-income groups every four years, with no significant change in this gap over the study period (P = 0.239).
Despite the increase in the elderly population and the prevalence of obesity, the incidence of CCVDs in Korea has remained unchanged. Individuals with low education or low income had a significantly higher prevalence of CCVD, with the lowest SES group, defined by both low education and low income, consistently having the highest prevalence of CCVDs.</abstract><cop>Scotland</cop><pub>Edinburgh University Global Health Society</pub><pmid>39388680</pmid><doi>10.7189/jogh.14.04210</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Cardiovascular Diseases - epidemiology Cerebrovascular Disorders - epidemiology Cross-Sectional Studies Education Exercise Female Health insurance Health Status Disparities Humans Hypertension Industrialized nations Low income groups Male Medical screening Middle Aged Myocardial infarction Nutrition Nutrition Surveys Obesity Prevalence Republic of Korea - epidemiology Risk Factors Social Class Socioeconomic Disparities in Health Socioeconomic Factors Socioeconomics Trends |
title | Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study |
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