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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Current smokers who received an SCSPS score of 45 and above (area under the curve (AUC)=0.768; p
📌 3 Key Takeaways
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Objective & Hypothesis:This prospective study aimed to establish a cut-off score associated with a prediction of treatment success based on the smoking cessation success prediction scale (SCSPS) in daily smokers who were admitted to family medicine clinics of a tertiary hospital between August and November 2019.
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Key Findings & Data:In this study, 48% of the 319 smok-ers who completed a 3-month control after smoking cessation treatment revealed the quit success.
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Conclusion & Impact:Current smokers who received an SCSPS score of 45 and above (area under the curve (AUC)=0.768; p
🔬Design:Research Article
📍Scope:2019 Verileri
⚙️Variables:Domain Parameters
Abstract
This prospective study aimed to establish a cut-off score associated with a prediction of treatment success based on the smoking cessation success prediction scale (SCSPS) in daily smokers who were admitted to family medicine clinics of a tertiary hospital between August and November 2019. In this study, 48% of the 319 smok-ers who completed a 3-month control after smoking cessation treatment revealed the quit success. The Cron-bach alpha coefficient of the scale was found at 0.723. Current smokers who received an SCSPS score of 45 and above (area under the curve (AUC)=0.768; p
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Cite This Article
BAŞPINAR, M. M., BASAT, O., TANIMLI, E. (2022). A Cut-off Level to Predict Quit Smoking Basedon Smoking Cessation Success Prediction Scale(SCSPS): A Preliminary Study. Addicta: The Turkish Journal on Addictions, Cilt: 7 - Sayı: 4, 248–252. https://ajindex.com/articles/856987