메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Background: Enquiry into smoking status and recommendations for smoking cessation is an essential preventiveservice. However, there are few studies comparing self-reported (SR) and cotinine-verified (CV) smoking statuses,using medical check-up data. The rates of discrepancy and under-reporting are unknown. Methods: We performed a cross-sectional study using health examination data from Healthcare System GangnamCenter, Seoul National University Hospital in 2013. We analyzed SR and CV smoking statuses and discrepancies betweenthe two in relation to sociodemographic variables. We also attempted to ascertain the factors associated witha discrepant smoking status among current smokers. Results: In the sample of 3,477 men, CV smoking rate was 11.1% higher than the SR rate. About 1 in 3 participantseither omitted the smoking questionnaire or gave a false reply. The ratio of CV to SR smoking rates was 1.49 (95%confidence interval [CI], 1.38–1.61). After adjusting for confounding factors, older adults (≥60 years) showed an increasedadjusted odds ratio (aOR) for discrepancy between SR and CV when compared to those in their twentiesand thirties (aOR, 5.43; 95% CI, 2.69–10.96). Educational levels of high school graduation or lower (aOR, 2.33; 95%CI, 1.36–4.01), repeated health check-ups (aOR, 1.45; 95% CI, 1.03–2.06), and low cotinine levels of <500 ng/mL(aOR, 2.03; 95% CI, 1.33–3.09), were also associated with discordance between SR and CV smoking status. Conclusion: Omissions and false responses impede the accurate assessment of smoking status in health check-upparticipants. In order to improve accuracy, it is suggested that researcher pay attention to participants with greaterdiscrepancy between SR and CV smoking status, and formulate interventions to improve response rates.

목차

등록된 정보가 없습니다.

참고문헌 (22)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0