J Prev Med Public Health.  2011 Mar;44(2):84-92. 10.3961/jpmph.2011.44.2.84.

Smoking Relapse and Related Factors Within One Year Among Successes of the Smoking Cessation Clinics of Public Health Centers

• Kim MJ
• Jeong IS

• KMID: 1003043
• DOI: http://doi.org/10.3961/jpmph.2011.44.2.84

Abstract

OBJECTIVES
This study aimed to investigate smoking relapse and the related factors within 1 year after discharge from the smoking cessation clinics (SCCs) of public health centers (PHCs).
METHODS
Data were collected with a structured questionnaire from 395 people who success fully stopped smoking at 4 SCCs in Busan between May and June 2009, and this data were analyzed by Kaplan-Meier survival curves and the Cox proportional hazard model.
RESULTS
The rate of smoking relapse within 1 year after discharge from SCCs was 39.2% and this decreased rapidly over 6 months after discharge. The factors related to smoking relapse within 1 year after discharge from SCCs were being female (HR, 2.11; 95% CI, 1.17 to 3.82), a trial of smoking cessation with any assistants (HR, 1.95; 95% CI, 1.19 to 3.19), more than 7 ppm of exhaled CO2 on the SCCs' registration (HR, 1.81; 95% CI, 1.24 to 2.64), use of pharmacotherapy after discharge from SCCs (HR, 2.00; 95% CI, 1.36 to 2.93), alcohol drinking more than once a week after discharge from SCCs (HR, 3.32; 95% CI, 2.15 to 6.78), and a perceived barrier (HR, 1.21; 95% CI, 1.14 to 1.30) after discharge from the SCCs.
CONCLUSIONS
According to the results, at least 6 months follow-up after discharge from SCCs of public health centers is recommended to reduce the rate smoking relapse. It is also recommended to strengthen the education on how to overcome barriers such as drinking in the course of smoking cessation clinics.

Keyword

Smoking; Relapse; Smoking cessation

MeSH Terms

Aged
Alcohol Drinking
Ambulatory Care Facilities
Female
Follow-Up Studies
Humans
Interviews as Topic
Male
Middle Aged
Patient Education as Topic
Questionnaires
Risk
Smoking/*prevention & control
*Smoking Cessation
Time Factors
Workload