Internet-based Control Recruitment for a Case-Control Study of Major Risk Factors for Stroke in Korea: Lessons from the Experience
- Authors
- Park, Jong-Moo; Cho, Yong-Jin; Lee, Kyung Bok; Park, Tai Hwan; Lee, Soo Joo; Han, Moon-Ku; Ko, Youngchai; Lee, Jun; Cha, Jae-Kwan; Lee, Byung-Chul; Yu, Kyung-Ho; Oh, Mi-Sun; Lee, Ji Sung; Lee, Juneyoung; Bae, Hee-Joon
- Issue Date
- 11월-2014
- Publisher
- ELSEVIER
- Keywords
- Case-control study; internet-based study; risk factors; stroke
- Citation
- JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, v.23, no.10, pp.2559 - 2565
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF STROKE & CEREBROVASCULAR DISEASES
- Volume
- 23
- Number
- 10
- Start Page
- 2559
- End Page
- 2565
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/97009
- DOI
- 10.1016/j.jstrokecerebrovasdis.2014.05.026
- ISSN
- 1052-3057
- Abstract
- This 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.
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Collections - College of Medicine > Department of Medical Science > 1. Journal Articles
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