{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T06:46:18Z","timestamp":1773297978281,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T00:00:00Z","timestamp":1507766400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Stroke Screening and Prevention Engineering Committee of People's Republic of China"},{"name":"Tianjin Health and Family Planning Commission science and technology foundation","award":["2015KZ022"],"award-info":[{"award-number":["2015KZ022"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>To analyze the risk factors of carotid plaque (<jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content>) and carotid common artery intima\u2010media thickening (<jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content>) and the association between the risk factors and <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content> numbers and the side of the <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> in a high\u2010stroke\u2010risk population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Carotid ultrasonography was conducted in 2025 participants with high stroke risk. Participants were divided into different groups according to the results of the ultrasound. The risk factors and blood biochemical indices were recorded.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The presence of <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> were 38.9% and 24.8% respectively. Multivariate logistic regression indicated that the risk factors of <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content> were age, high <jats:styled-content style=\"fixed-case\">LDL<\/jats:styled-content>\u2010C and <jats:styled-content style=\"fixed-case\">FBG<\/jats:styled-content> levels, male gender, stroke, diabetes, hypertension, and tobacco use. Compared with participants without <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content>s, the participants who were male, and older in age, with risk factors of tobacco use, diabetes, high <jats:styled-content style=\"fixed-case\">LDL<\/jats:styled-content>\u2010C levels, and a family history of hypertension were likely to have a single <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content>, whereas the participants with risk factors of tobacco use, diabetes, hypertension, male gender, older age, high <jats:styled-content style=\"fixed-case\">LDL<\/jats:styled-content>\u2010C levels, stroke and <jats:styled-content style=\"fixed-case\">AF<\/jats:styled-content> or valvulopathy were prone to have multiple <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content>s. The risk factors of <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> were male gender, stroke, hypertension, diabetes, <jats:styled-content style=\"fixed-case\">AF<\/jats:styled-content> or valvulopathy, tobacco use and age. Compared with the N\u2010<jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> subgroup, the risk factors of left <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> were tobacco use, diabetes, male gender, and age. The risk factors of right <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> were male gender, high <jats:styled-content style=\"fixed-case\">FBG<\/jats:styled-content> levels, age, <jats:styled-content style=\"fixed-case\">AF<\/jats:styled-content> or valvulopathy. The risk factors of dual <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content> were high frequency of drinking milk, tobacco use, male gender, age, stroke, and hypertension.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>These findings revealed the risk factors of <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content>, and an association between the risk factors and the <jats:styled-content style=\"fixed-case\">CP<\/jats:styled-content> numbers and the side of the <jats:styled-content style=\"fixed-case\">CCAIMT<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1002\/brb3.847","type":"journal-article","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T10:22:39Z","timestamp":1507803759000},"source":"Crossref","is-referenced-by-count":20,"title":["Risk factors of carotid plaque and carotid common artery intima\u2010media thickening in a 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