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다층모형을 통한 금연성공에 영향을 미치는 요인 분석

A Multilevel Model Analysis on the Determinants of Smoking Cessation Success Rates

송태민|이주열
한국보건교육건강증진학회 (Korean Society for Health Education and Promotion)|2013.03|보건교육건강증진학회지 (KOREAN JOURNAL OF HEALTH EDUCATION AND PROMOTION)|제30권 제1호|pp. 53-64

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참고문헌

키워드

Smoking cessationHLMMultilevel analysisPublic health center
주제분류예방의학/직업환경의학

초록

Objectives: In this study, a multilevel analysis model has been designed to investigate the effect of personal characteristics associated withsmoking cessation on anti-smoking determinants with a goal of finding out the factors which have influence on smoking cessation amongthe entrants of smoking cessation clinic in a public health center. Methods: A total of 253,136 male smokers who received smoking cessationservices 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 7.0has been adopted. Results: According to the unconditional model of multilevel analysis, the success rates of smoking cessation among theentrants of a smoking cessation clinic were 47.3%. In an unconditional slope model test to which regional variables were added, a negativeeffect was observed in average smoking amount, total smoking period, nicotine dependence and services while a positive effect was foundin 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 effectwas observed in Non-Smoking Campaigns (NSC) and Frequency of Counseling (FC) in terms of the log of the odds of smoking cessationin regional variables. Conclusions: It is important to approach smokers individually and, at the same time, build healthy environment fora local community to increase smoking cessation rates among the entrants of smoking cessation clinic in a public health center.

Abstract

Objectives: In this study, a multilevel analysis model has been designed to investigate the effect of personal characteristics associated withsmoking cessation on anti-smoking determinants with a goal of finding out the factors which have influence on smoking cessation amongthe entrants of smoking cessation clinic in a public health center. Methods: A total of 253,136 male smokers who received smoking cessationservices 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 7.0has been adopted. Results: According to the unconditional model of multilevel analysis, the success rates of smoking cessation among theentrants of a smoking cessation clinic were 47.3%. In an unconditional slope model test to which regional variables were added, a negativeeffect was observed in average smoking amount, total smoking period, nicotine dependence and services while a positive effect was foundin 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 effectwas observed in Non-Smoking Campaigns (NSC) and Frequency of Counseling (FC) in terms of the log of the odds of smoking cessationin regional variables. Conclusions: It is important to approach smokers individually and, at the same time, build healthy environment fora local community to increase smoking cessation rates among the entrants of smoking cessation clinic in a public health center.

참고문헌 (45)

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