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Experimental and Therapeutic Medicine logoLink to Experimental and Therapeutic Medicine
. 2013 Dec 27;7(3):716–720. doi: 10.3892/etm.2013.1463

Effectiveness of individual counseling for smoking cessation in smokers with chronic obstructive pulmonary disease and asymptomatic smokers

JUAN CHEN 1,*, YAN CHEN 2,*, PING CHEN 2,, ZHIJUN LIU 2, HONG LUO 2, SHAN CAI 2
PMCID: PMC3919914  PMID: 24520273

Abstract

Few studies have examined the effect of individual counseling for smoking cessation in China. The present study evaluated the efficacy of individual counseling in patients with chronic obstructive pulmonary disease (COPD) and asymptomatic smokers. This prospective randomized study evaluated 85 smokers with COPD and 105 asymptomatic smokers with normal lung function. The individuals were randomly allocated to intervention and control groups. Subjects in the intervention group were provided with individual cognitive counseling based on face-to-face individual consultation, self-help materials and nine telephone follow-ups. Subjects in the control group were provided with simple smoking cessation advice. The smoking status for all subjects and the St. George’s Respiratory Questionnaire (SGRQ) for COPD patients were assessed at baseline, week 4 and month 6. The COPD patient exacerbations during the 6 months were recorded. In the total study population, individual counseling resulted in higher abstinence rates compared with those in the control: Intervention vs. control, 23.4 vs. 10.4% (P=0.007), respectively. Similar results were observed in the smokers with COPD: Intervention vs. control, 40.5 vs. 18.6% (P=0.027), respectively. However, for asymptomatic smokers, the effect of individual counseling was identified to be statistically insignificant: Intervention vs. control, 9.6 vs. 3.8% (P=0.230), respectively. SGRQ scores and COPD exacerbations were significantly improved in patients who abstained from smoking compared with those in the patients who failed to stop smoking. Airway obstruction, quitting motivation and individual counseling were predictors associated with smoking cessation. Airway obstruction was the most significant predictor of smoking cessation (odds ratio, 4.215; 95% confidence interval, 2.215–7.865). The results of the present study show that individual counseling is an effective method for smoking cessation, particularly in COPD patients. However, its efficacy in asymptomatic smokers requires confirmation in further studies.

Keywords: smoking cessation, individual counseling, chronic obstructive pulmonary disease

Introduction

Smoking is one of the leading causes of mortality worldwide. Over half of long-term smokers succumb to tobacco-related diseases (1). In 2010, an estimated 28.1% of adults in China (301 million; 52.9% males and 2.4% females) were current smokers and 91.8% of the smokers who attempted to quit did not use any method to assist with smoking cessation (2). Only 2.5% of males and 3.5% of females were successful at remaining abstinent for ≥24 months (3). One-third of the male population in China is likely to succumb to tobacco-related mortalities if high smoking rates persist (4). There are specific smoking cessation medications available in China; however, few smokers (5.6%) use these since there is little concern with regard to the health effects of smoking (5). Thus, the identification of an effective method to aid smoking cessation in China is urgent and cognitive intervention may be useful.

Chronic obstructive pulmonary disease (COPD) is a global health crisis with smoking as its most causative factor. Almost 50% of older smokers develop COPD (6). The prevalence of COPD in residents ≥40 years old is 8.2% in China (7). Smoking cessation is the most significant intervention in COPD management and is recommended by the Global initiative for Chronic Obstructive Lung Diseases (GOLD) (8), as it may slow down disease progression (9).

Studies from developed countries show that cognitive counseling is a cost-effective treatment for motivation and behavior-based smoking cessation (1012). The effects shown in various groups of individuals remain ambiguous. Specific individuals consider cognitive counseling to be more effective in smokers with airway obstruction (13), while others do not consider it to be effective at all (14). Few studies concerning individual counseling for smoking cessation have been conducted in China, particularly in patients with COPD. The present prospective randomized study evaluated the efficacy of individual counseling for smoking cessation in COPD patients and asymptomatic smokers in China.

Materials and methods

Participants

Smoking subjects with or without COPD were recruited by residential area advertisements or from the pulmonary outpatient clinic and Physical Examination Center of the Second Xiangya Hospital (Changsha, China) over a six-month period between March 2010 and September 2010. All subjects underwent standard lung function tests with measurements of forced vital capacity (FVC) and forced expiratory volume in 1 sec (FEV1). COPD was defined according to the GOLD criteria (FEV1/FVC <70% following bronchodilatation) (8). Asymptomatic smokers were defined as smokers without respiratory symptoms (i.e., cough, sputum production or dyspnea) and with normal lung function. Enrolled subjects were >18 years-old and had smoked one or more cigarettes/day for a minimum of 100 days. Subjects with experience of smoking cessation medication and those with a history of asthma, asbestosis, silicosis, bronchiectasis or lung cancer were excluded from the study. All subjects provided informed consent approved by the medical ethics committee of the Second Xiangya Hospital.

Study design

It is generally accepted that the motivation to quit is one of the most significant factors associated with smoking cessation (15). The smokers (COPD and asymptomatic) were divided into four categories according to their motivation to quit: No desire to quit, indifference, hoping to quit and hoping very much to quit. Smokers in each category were assigned to the intervention or control group according to the randomized digital table, where the quitting motivations were comparable between the two groups.

The intervention group was provided with individual cognitive counseling based on face-to-face individual counseling (performed at the baseline), self-help materials, as well as nine telephone calls at weeks 1, 2, 3, 4, 6 and 8 and at months 3, 4 and 5. The face-to-face individual counseling, which lasted for 20 min, was based on the five ‘A’s’ method. This relates to the harm of smoking, possible benefits of smoking cessation, methods of quitting, methods of handling withdrawal symptoms and prevention of relapses (16). For smokers with COPD, the counseling content focused on the correlation between smoking habits and COPD. The self-help materials included specific smoking cessation handbooks with smoking cessation tips. Each telephone call lasted for >10 min and was designed to further promote smoking cessation and help smokers conquer issues that occurred during smoking cessation. The control group was provided with smoking cessation advice. All interventions were conducted by two doctors with experience of professional smoking cessation treatment.

The main assessments were performed at the baseline, week 4 and month 6. Nicotine dependence was assessed using the Fagerström Test for Nicotine Dependence (FTND). The St. George Respiratory Questionnaire (SGRQ) for measuring health-related quality of life and exacerbation times during the 6 months was recorded for COPD patients. An exacerbation was defined according to the GOLD parameter, specifically associated with acute events characterized by a worsening of the patient’s respiratory symptoms beyond normal day-to-day variations, leading to a change in medication (8). The abstinence was defined as a self-reported sustained abstinence from week 4 to month 6. The self-reported abstinence at week 4 and month 6 was verified by an exhaled carbon monoxide level of <10 ppm.

Statistical analysis

The minimum total sample was 152 participants. The expected to the success rates were 25% for the intervention group, compared with 5% for the control group, with a two tailed significance level of 0.05 and a power of 80%. Statistical analyses were performed using SPSS 17.0 statistical software (SPSS, Inc. Chicago, IL, USA). P<0.05 was considered to indicate a statistically significant difference. The normally distributed quantitative data was analyzed using t-tests, non-normally distributed data with Wilcoxon Mann-Whitney U-tests and categorical variable data with χ2 tests. Predictors of outcome were analyzed with multinomial logistic regression.

Results

Baseline characteristics

A total of 85 COPD patients and 105 asymptomatic smokers were included in the study. Twelve smokers (5 COPD and 7 asymptomatic) withdrew during the 6-month period. The most common reason for withdrawal was attributed to poor compliance. The withdrawers were regarded as smokers and were included in the outcome analyses. Table I lists the baseline characteristics of all subjects. The baseline characteristics were kept well-balanced between the intervention and the control groups; they were also balanced between the intervention and the control group for COPD and asymptomatic smokers. There were certain significant differences in baseline characteristics between the COPD patients and asymptomatic smokers. Age, pack-years and quitting motivations were significantly higher in COPD patients than in asymptomatic smokers and the educational level in the COPD patients was lower than that in asymptomatic smokers. The severity of COPD was classified according to the predicted FEV1 percentage. The following percentages were observed in terms of COPD grading: 11% subjects were mild (FEV1 ≥80% predicted), 46% were moderate (FEV1 ≥50–80% predicted), 33% were severe (FEV1 ≥30–50% predicted) and 10% were very severe (FEV1 <30% predicted). A full representation is shown in Table II.

Table I.

Participant characteristics.

COPD Asymptomatic smokers


Characteristics Intervention group, n=94 Control group, n=96 Intervention group, n=42 Control group, n=43 Intervention group, n=52 Control group, n=53
Age, years 50.8±13.9 50.3±13.2 61.4±8.6 61.6±7.7 41.7±10.1a 41.6±9.8b
Male:female 91:3 93:3 41:1 41:2 50:2 52:1
Pack-years 31.6±18.8 32.6±20.4 40.2±18.2 44.3±15.9 23.7±15.4a 24.0±19.4b
Daily cigarettes 19.0±10.3 20.6±12.7 17.5±8.4 17.2±9.6 22.4±10.6 23.6±13.9
Carbon monoxide, ppm 15.1±8.2 16.1±8.2 14.2±7.3 14.1±8.5 17.5±8.4 18.3±9.2
FTND, points 4.1±2.4 4.2±2.3 4.0±2.0 4.1±2.5 4.2±2.1 4.3±2.4
Education, n
 Junior high school or less 40 34 28 20 12 14
 Senior high school 23 23 10 14 13 9
 College or more 31 39 4 9 27 30
Quitting motivation, n
 No desire to quit 17 18 3 3 14 15
 Indifference 27 26 5 5 22 21
 Hoping to quit 37 39 23 24 14 15
 Hoping very much to quit 13 13 11 11 2 2
a

P<0.05, vs. COPD intervention group;

b

P<0.05, vs. COPD control group.

Pack-years were calculated by multiplying the number of packs of cigarettes smoked per day by the number of years the individual had smoked. COPD, chronic obstructive pulmonary disease; FTND, Fagerström Test for Nicotine Dependence.

Table II.

Abstinence rates stratified by baseline spirometric results.

COPD

Variable Normal All Mild Moderate Severe Very severe
Subjects 105 85 9 39 29 8
Abstainers 7 25 2 10 9 4
Abstinence rates, % 6.7 29.4 22.2 25.6 31.0 50.0
P-value <0.001a 0.540b
a

P-value compares abstinence rates between asymptomatic smokers and COPD patients;

b

P-value compares abstinence rates among various grades of COPD patients.

COPD, chronic obstructive pulmonary disease.

Smoking cessation outcomes

Fig. 1 lists smoking cessation outcomes. When smokers with and without COPD were considered together, the abstinence rates were higher in the intervention group than in the control group (23.4 vs. 10.4%; P=0.007). The result is similar to that based exclusively on smokers with COPD (40.5 vs. 18.6%; P=0.027). However, the effect of individual counseling in asymptomatic smokers was statistically insignificant (9.6 vs. 3.8%; P=0.230). Table II lists the various abstinence rates in smokers who have different spirometric results. Smokers with COPD were more likely to quit smoking (29.4%) than those with normal spirometry (6.7%; P<0.001). Although higher COPD grades correlated with a higher abstinence rate, the differences in abstinence rates among the mild, moderate, severe and very severe COPD groups were statistically insignificant (22.2, 25.6, 31.0, 50.0%, respectively; P=0.540).

Figure 1.

Figure 1

Abstinence rates in various groups. *P<0.05, as indicated. TC, total smokers control; TI, total smokers intervention; CC, COPD control; CI, COPD intervention; AC, asymptomatic control; AI, asymptomatic intervention; COPD, chronic obstructive pulmonary disease.

Health outcomes

This analysis was based on the COPD participants. Only the proportion of patients who had an improvement of four or more SGRQ score units was used in the calculation, as this group showed significant clinical changes in the quality of life. Of the COPD patients who abstained from smoking, 36.0% had significant improvements in the SGRQ total scores; this was significantly higher than the 13.3% in patients who failed to stop smoking (P=0.037). During the six-month period, there was an average of 0.61 exacerbations in the COPD patients who abstained from smoking, compared with 1.21 exacerbations in the patients who continued to smoke (Z, −3.32; P<0.001).

Predictors of smoking cessation outcomes

Multinomial logistic regression was used to analyze whether the abstinence outcome was associated with various predictors (Table III). Individual counseling, COPD and quitting motivation were found to be independent predictors of abstinence, where COPD was the most significant (odds ratio, 4.215; 95% confidence interval, 2.215–7.865). Other factors, including age, gender, daily cigarettes, pack-years, FTND, educational background and SGRQ, were included in the initial regression model. However, they were not found to have a statistically significant association with abstinence.

Table III.

Predictors of smoking cessation in the logistic regression model.

Predictors B P-value OR 95% CI
Airway obstruction 1.652 0.000 4.217 2.215–7.865
Individual counseling 1.133 0.007 3.104 1.369–7.042
Quitting motivation 1.146 0.000 3.145 1.780–5.557

OR, odds ratio; CI, confidence interval.

Discussion

The present study is, to the best of our knowledge, the first randomized controlled trial in China that has demonstrated the efficacy of individual counseling for smoking cessation in smokers with COPD and asymptomatic smokers. The most significant observation was that individual counseling was an effective method for smoking cessation. This was particularly true in smokers with COPD.

The results of the present study correlated with previous studies evaluating the efficiency of individual counseling for smoking cessation in developed countries. Bednarek et al (13), in Poland, recruited 4,494 smokers; all these smokers received simple smoking cessation advice while 1,177 subjects with airway obstruction were informed that they had COPD and that smoking cessation would halt the lung disease progression. One year later, the sustained smoking cessation rate in those with airway obstruction was 16.3%, compared with 12.0% in those with normal spirometric parameters (P=0.0003) (12). Stratelis et al (17), in Sweden, obtained a similar result. In this study, 512 smokers enrolled and received annual spirometry and brief smoking cessation advice, followed up by a personal letter from a physician. Three years later, 25% of smokers with COPD were smoke-free for ≥1 year, compared with 7% of smokers with normal lung function (P<0.001). These studies and the results of the present study indicate that individual counseling is efficacious in helping smokers to quit and its efficiency in COPD patients was more marked. However, a study by Willemse et al (14) in the Netherlands used group meetings for smoking cessation and reported a 42% (16/38) abstinence rate in COPD patient smokers, in comparison to a 68% (17/25) abstinence rate in healthy smokers. The authors did not offer the statistical analysis for these results. One explanation may be that the healthy smokers that were recruited had a higher motivation for smoking cessation. The authors did not assess the motivation of their subjects. Toljamo et al (15), in Finland, enrolled 584 smokers; the study provided individual counseling to all individuals. The study reported a 5.4% sustained abstinence rate in smokers without COPD, compared with 10.6% in patients with COPD (P=0.125); success in quitting was not identified to be associated with airway obstruction. However, there was a clear difference between their study and the present study. Spirometry was conducted at the end of their study. Therefore, the COPD patients were not informed of their illness. In comparison, the patients in the present study, who received counseling, found that an awareness of the correlation between smoking habits and COPD may be useful for smoking cessation.

Improved cessation rates were found in smokers who had COPD. The factors leading to this result included several components. First, the quitting motivations were higher in COPD patients than in general smokers. The majority of patients with COPD suffered from a cough and dyspnea, which are widely considered to be harmful effects of smoking. Concern for personal health was the most popular reason for considering smoking cessation in China (5). Secondly, positive spirometric results and a COPD diagnosis show patients the harmful effects of smoking and the necessity of smoking cessation. The United States National Lung Health Education Program previously recommended spirometric testing for increasing the motivation of smokers to quit (18). Parkes et al (19) used ‘lung age’, according to spirometric results, in order to encourage smoking cessation; their study reported that independently verified rates of quitting at 12 months in the intervention and control groups were 13.6 and 6.4% (P=0.005), respectively. In addition, smoking is a social behavior in China. Individuals often share cigarettes with each other, making it difficult for asymptomatic smokers to stop smoking. Smokers with COPD may reject cigarettes offered to them due to their disease.

The goals of clinical control for COPD patients included improvement of exercise tolerance, emotional function, prevention of disease progression and minimization of symptoms, all of which may lead to an increased quality of life (8). Despite continuous airway inflammation in ex-smokers with COPD (20), smoking cessation is an effective method of reducing the progress of the disease by slowing down the annual FEV1 decline rate (9) and it may result in an increase of quality-adjusted life-years for COPD patients (10). The dyspnea and cough symptoms that COPD patients often experience may be improved following smoking cessation (21). The health outcomes in the present study demonstrate statistically significant improvements in SGRQ total scores and COPD exacerbations in patients with COPD who abstained from smoking, demonstrating that smoking cessation may result in increased health benefits for COPD patients.

A number of factors are involved in smoking cessation. Studies from Western countries have shown that health status and economic reasons are the most commonly associated factors (22,23). In addition, smoking abstinence is associated with old age, male gender, high income, high levels of education, low nicotine dependence and smoke-free family policies (15,24). A study from South Africa showed that clinical interventions and smoke-free family policies may increase the rate of smoking cessation (25). Previous studies in China observed that the interest in quitting among smokers is affected by past quitting experiences, nicotine dependence, health concerns and attitudes towards smoking (26,27). The observations of the present study confirmed previous observations showing that motivation and health status were the most significant factors affecting the result of smoking cessation. It was found that individual counseling was another significant factor. Demographic characteristics and nicotine dependence were not identified to be independent factors for smoking cessation, possibly owing to the small sample size.

There are several limitations in the present study. The majority of COPD patients were recruited from the outpatient clinic and therefore possibly had more severe clinical symptoms than the typical patient with COPD. Thus, the patients may be more motivated to quit smoking. In addition, the majority of the subjects in this study were from Hunan Province in China. Hence, the study population may not be a true representation of all smokers in China.

In conclusion, individual smoking cessation counseling is an effective method for helping COPD patients to quit and may result in increased health benefits. Health professionals should provide cognitive counseling to smokers to help them quit smoking. Quitting motivation, healthy status factors and individual counseling are significant factors associated with smoking cessation results. The individual counseling efficiency for asymptomatic smokers remains uncertain and further nationwide multicenter studies are required to investigate this further in the future.

Acknowledgements

This study was supported by grants from the Chinese National Natural Science Foundation (nos. 81070039 and 81270100) and the Chronic Respiratory Diseases Research Fund of the Chinese Medical Association (no. 08020520130).

References

  • 1.World Health Organization. [Accessed March 31, 2010];WHO Report on the Global Tobacco Epidemic. 2008 http://www.who.int/tobacco/mpower/mpower_report_full_2008.pdf.
  • 2.Li Q, Hsia J, Yang G. Prevalence of smoking in China in 2010. N Engl J Med. 2011;364:2469–2470. doi: 10.1056/NEJMc1102459. [DOI] [PubMed] [Google Scholar]
  • 3.Qian J, Cai M, Gao J, Tang S, Xu L, Critchley JA. Trends in smoking and quitting in China from 1993 to 2003: National Health Service Survey data. Bull World Health Organ. 2010;88:769–776. doi: 10.2471/BLT.09.064709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dobson R. One third of Chinese men will be killed by tobacco if high smoking rates persist. BMJ. 2009;338:b302. [Google Scholar]
  • 5.Jiang Y, Elton-Marshall T, Fong GT, Li Q. Quitting smoking in China: findings from the ITC China Survey. Tob Control. 2010;19(Suppl 2):i12–i17. doi: 10.1136/tc.2009.031179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lundbäck B, Lindberg A, Lindstrõm M, et al. Obstructive Lung Disease in Northern Sweden Studies. Not 15 but 50% of smokers develop COPD? - Report from the Obstructive Lung Disease in Northern Sweden Studies. Respir Med. 2003;97:115–122. doi: 10.1053/rmed.2003.1446. [DOI] [PubMed] [Google Scholar]
  • 7.Zhong N, Wang C, Yao W, et al. Prevalence of chronic obstructive pulmonary disease in China: a large, population-based survey. Am J Respir Crit Care Med. 2007;176:753–760. doi: 10.1164/rccm.200612-1749OC. [DOI] [PubMed] [Google Scholar]
  • 8.Global Initiative for Chronic Obstructive Lung Disease (GOLD) [Accessed March 31, 2010];Global Strategy for the Diagnosis, Management and Prevention of COPD. 2010 http://www.goldcopd.org/uploads/users/files/GOLD_Pocket_2010Mar31.pdf.
  • 9.Lee PN, Fry JS. Systematic review of the evidence relating FEV1 decline to giving up smoking. BMC Med. 2010;8:84. doi: 10.1186/1741-7015-8-84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Atsou K, Chouaid C, Hejblum G. Simulation-based estimates of effectiveness and cost-effectiveness of smoking cessation in patients with chronic obstructive pulmonary disease. PLoS One. 2011;6:e24870. doi: 10.1371/journal.pone.0024870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bao Y, Duan N, Fox SA. Is some provider advice on smoking cessation better than no advice? An instrumental variable analysis of the 2001 National Health Interview Survey. Health Serv Res. 2006;41:2114–2135. doi: 10.1111/j.1475-6773.2006.00592.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Schuck K, Otten R, Kleinjan M, Bricker JB, Engels RC. Effectiveness of proactive telephone counselling for smoking cessation in parents: study protocol of a randomized controlled trial. BMC Public Health. 2011;11:732. doi: 10.1186/1471-2458-11-732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bednarek M, Gorecka D, Wielgomas J, et al. Smokers with airway obstruction are more likely to quit smoking. Thorax. 2006;61:869–873. doi: 10.1136/thx.2006.059071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Willemse B, Lesman-Leegte I, Timens W, Postma D, ten Hacken N. High cessation rates of cigarette smoking in subjects with and without COPD. Chest. 2005;128:3685–3687. doi: 10.1378/chest.128.5.3685. [DOI] [PubMed] [Google Scholar]
  • 15.Toljamo T, Kaukonen M, Nieminen P, Kinnula VL. Early detection of COPD combined with individualized counselling for smoking cessation: a two-year prospective study. Scand J Prim Health Care. 2010;28:41–46. doi: 10.3109/02813431003630105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.The Tobacco Use and Dependence Clinical Practice Guideline Panel, Staff, and Consortium Representatives. A clinical practice guideline for treating tobacco use and dependence: A US Public Health Service report. JAMA. 2000;283:3244–3254. [PubMed] [Google Scholar]
  • 17.Stratelis G, Mölstad S, Jakobsson P, Zetterström O. The impact of repeated spirometry and smoking cessation advice on smokers with mild COPD. Scand J Prim Health Care. 2006;24:133–139. doi: 10.1080/02813430600819751. [DOI] [PubMed] [Google Scholar]
  • 18.Ferguson GT, Enright PL, Buist AS, Higgins MW. Office spirometry for lung health assessment in adults: A consensus statement from the National Lung Health Education Program. Chest. 2000;117:1146–1161. doi: 10.1378/chest.117.4.1146. [DOI] [PubMed] [Google Scholar]
  • 19.Parkes G, Greenhalgh T, Griffin M, Dent R. Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial. BMJ. 2008;336:598–600. doi: 10.1136/bmj.39503.582396.25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Willemse BW, ten Hacken NH, Rutgers B, Lesman-Leegte IG, Postma DS, Timens W. Effect of 1-year smoking cessation on airway inflammation in COPD and asymptomatic smokers. Eur Respir J. 2005;26:835–845. doi: 10.1183/09031936.05.00108904. [DOI] [PubMed] [Google Scholar]
  • 21.Papadopoulos G, Vardavas CI, Limperi M, Linardis A, Georgoudis G, Behrakis P. Smoking cessation can improve quality of life among COPD patients: validation of the clinical COPD questionnaire into Greek. BMC Pulm Med. 2011;11:13. doi: 10.1186/1471-2466-11-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sieminska A, Buczkowski K, Jassem E, Lewandowska K, Ucinska R, Chelminska M. Patterns of motivations and ways of quitting smoking among Polish smokers: a questionnaire study. BMC Public Health. 2008;8:274. doi: 10.1186/1471-2458-8-274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hyland A, Li Q, Bauer JE, Giovino GA, Steger C, Cummings KM. Predictors of cessation in a cohort of current and former smokers followed over 13 years. Nicotine Tob Res. 2004;6(Suppl 3):S363–S369. doi: 10.1080/14622200412331320761. [DOI] [PubMed] [Google Scholar]
  • 24.Lee CW, Kahende J. Factors associated with successful smoking cessation in the United States, 2000. Am J Public Health. 2007;97:1503–1509. doi: 10.2105/AJPH.2005.083527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ayo-Yusuf OA, Szymanski B. Factors associated with smoking cessation in South Africa. S Afr Med J. 2010;100:175–179. doi: 10.7196/samj.3842. [DOI] [PubMed] [Google Scholar]
  • 26.Feng G, Jiang Y, Li Q, et al. Individual-level factors associated with intentions to quit smoking among adult smokers in six cities of China: findings from the ITC China Survey. Tob Control. 2010;19(Suppl 2):i6–i11. doi: 10.1136/tc.2010.037093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Yang T, Abdullah AS, Mustafa J, Chen B, Yang X, Feng X. Factors associated with smoking cessation among Chinese adults in rural China. Am J Health Behav. 2009;33:125–134. doi: 10.5993/ajhb.33.2.2. [DOI] [PubMed] [Google Scholar]

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