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다층 모형을 통한 금연성공에 영향을 미치는 요인 분석 = A Multilevel Model Analysis on the Determinants of Smoking Cessation Success Rates

제목
다층 모형을 통한 금연성공에 영향을 미치는 요인 분석 = A Multilevel Model Analysis on the Determinants of Smoking Cessation Success Rates
저자

송태민 ; 이주열

키워드
Smoking Cessation ; Public health center ; Multilevel analysis ; HLM
발행연도
2013-03-31
발행기관
보건교육건강증진학회
인용정보
보건교육건강증진학회지, vol. 30, no. 1, pp. 53 - 64
초록
Objectives: In this study, a multilevel analysis model has been designed to investigate the effect of personal characteristics associated with smoking cessation on anti-smoking determinants with a goal of finding out the factors which have influence on smoking cessation among the entrants of smoking cessation clinic in a public health center. Methods: A total of 253,136 male smokers who received smoking cessation services for more than six(6) months in a smoking cessation clinic of public health center from July 16, 2007 to July 15, 2008 were examined. For technical analysis, SPSS Version 2.0 has been used. For multilevel analysis on smoking cessation determinants, in addition, HLM 7.0 has been adopted. Results: According to the unconditional model of multilevel analysis, the success rates of smoking cessation among the entrants of a smoking cessation clinic were 47.3%. In an unconditional slope model test to which regional variables were added, a negative effect was observed in average smoking amount, total smoking period, nicotine dependence and services while a positive effect was found in age, stress and type of social security in terms of the log of the odds of smoking cessation. In a conditional model test, a positive effect was observed in Non-Smoking Campaigns (NSC) and Frequency of Counseling (FC) in terms of the log of the odds of smoking cessation in regional variables. Conclusions: It is important to approach smokers individually and, at the same time, build healthy environment for a local community to increase smoking cessation rates among the entrants of smoking cessation clinic in a public health center.
Fulltext
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001754634
ISSN
1229-4128
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