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Internet-based Control Recruitment for a Case-Control Study of Major Risk Factors for Stroke in Korea: Lessons from the Experience

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dc.contributor.authorPark, Jong-Moo-
dc.contributor.authorCho, Yong-Jin-
dc.contributor.authorLee, Kyung Bok-
dc.contributor.authorPark, Tai Hwan-
dc.contributor.authorLee, Soo Joo-
dc.contributor.authorHan, Moon-Ku-
dc.contributor.authorKo, Youngchai-
dc.contributor.authorLee, Jun-
dc.contributor.authorCha, Jae-Kwan-
dc.contributor.authorLee, Byung-Chul-
dc.contributor.authorYu, Kyung-Ho-
dc.contributor.authorOh, Mi-Sun-
dc.contributor.authorLee, Ji Sung-
dc.contributor.authorLee, Juneyoung-
dc.contributor.authorBae, Hee-Joon-
dc.date.accessioned2021-09-05T03:40:09Z-
dc.date.available2021-09-05T03:40:09Z-
dc.date.created2021-06-15-
dc.date.issued2014-11-
dc.identifier.issn1052-3057-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/97009-
dc.description.abstractThis study aimed to estimate the population-attributable risks (PARs) of 9 major risk factors for stroke in Korea through a case-control study and to test the feasibility and validity of internet-based control recruitment. Methods: From April 2008 to September 2009, controls were enrolled via internet after providing consent for participation through a web-based survey. The cases included patients who were admitted to the participating centers due to acute stroke or transient ischemic attack within 7 days of onset during the study period. Each control was age- and sex-matched with 2 cases. Adjusted odd ratios, age-standardized prevalence, and PARs were estimated for the 9 major risk factors using the prevalence of risk factors in the control group and the age and sex characteristics from Korea's national census data. Results: In total, 1041 controls were matched to 2082 stroke cases. Because of a shortage of elderly controls in the internet-based recruitment, 248 controls were recruited off-line. The PARs were 23.44%, 10.95%, 51.32%, and 6.35% for hypertension, diabetes, smoking, and stroke history, respectively. Hypercholesterolemia, atrial fibrillation, obesity, coronary heart disease, and a family history of stroke were not associated with stroke. Comparison with education and religion of the control group with that mentioned in the national census data showed a notable difference. Conclusions: The study results imply that internet-based control recruitment for a case-control study requires careful selection of risk factors with high self-awareness and effective strategies to facilitate the recruitment of elderly participants.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.subjectISCHEMIC-STROKE-
dc.subjectCASE-FATALITY-
dc.titleInternet-based Control Recruitment for a Case-Control Study of Major Risk Factors for Stroke in Korea: Lessons from the Experience-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Juneyoung-
dc.identifier.doi10.1016/j.jstrokecerebrovasdis.2014.05.026-
dc.identifier.scopusid2-s2.0-84923263773-
dc.identifier.wosid000345650300024-
dc.identifier.bibliographicCitationJOURNAL OF STROKE & CEREBROVASCULAR DISEASES, v.23, no.10, pp.2559 - 2565-
dc.relation.isPartOfJOURNAL OF STROKE & CEREBROVASCULAR DISEASES-
dc.citation.titleJOURNAL OF STROKE & CEREBROVASCULAR DISEASES-
dc.citation.volume23-
dc.citation.number10-
dc.citation.startPage2559-
dc.citation.endPage2565-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalResearchAreaCardiovascular System & Cardiology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.relation.journalWebOfScienceCategoryPeripheral Vascular Disease-
dc.subject.keywordPlusISCHEMIC-STROKE-
dc.subject.keywordPlusCASE-FATALITY-
dc.subject.keywordAuthorCase-control study-
dc.subject.keywordAuthorinternet-based study-
dc.subject.keywordAuthorrisk factors-
dc.subject.keywordAuthorstroke-
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