Development of a Risk Score to Predict Short-term Smoking Relapse Following an Inpatient Smoking Cessation Intervention
- Authors
- Shin, Hwang Sik; Park, Yoon Hyung; Lee, Sung Soo; Cho, Yong Jin; Kwon, Jun Tack; Chang, Youngs; Lee, Mee-Ri; Hwangbo, Young
- Issue Date
- May-2024
- Publisher
- SAGE PUBLICATIONS INC
- Keywords
- smoking cessation; risk factors; prediction
- Citation
- ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH, v.36, no.4, pp 329 - 336
- Pages
- 8
- Journal Title
- ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH
- Volume
- 36
- Number
- 4
- Start Page
- 329
- End Page
- 336
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/26434
- DOI
- 10.1177/10105395241240949
- ISSN
- 1010-5395
1941-2479
- Abstract
- This study aimed to investigate the factors affecting smoking relapse and to develop predictive models among Korean national 5-day smoking cessation program participants. The subjects were 518 smokers and follow-up was continued for 6 months after discharge. A predictive logistic model and risk score were developed from the multivariate logistic models and compared using the area under the receiver operating characteristic curve (area under the curve [AUC]). The smoking relapse rate within 6 months after program participation was 38.4%. The AUCs of the logistic regression model and risk score model were similar (odds ratio [OR] = 0.69, 95% confidence interval [CI] [0.64, 0.75]; 0.69, 95% CI [0.63, 0.74], respectively) in the development data set, and those of the risk score model were similar between the development and validation data sets (OR = 0.68, 95% CI [0.59, 0.77]). The risk score used by the six risk factors could predict smoking relapse among participants who attended a 5-day inpatient smoking cessation program.
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Collections - College of Medicine > Department of Preventive Medicine > 1. Journal Articles
- College of Medicine > Department of Clinical Pharmacology > 1. Journal Articles
- College of Medicine > Department of Family Medicine > 1. Journal Articles
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