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Use and perceived helpfulness of smoking cessation methods: results from a population survey of recent quitters
© Hung et al; licensee BioMed Central Ltd. 2011
Received: 7 March 2011
Accepted: 27 July 2011
Published: 27 July 2011
Increasing rates of smoking cessation is one of the most effective measures available to improve population health. To advance the goal of increasing successful cessation at the population level, it is imperative that we understand more about smokers' use of cessation methods, as well as the helpfulness of those methods in real-world experiences of quitting. In this survey of recent quitters, we simultaneously examined rates of use and perceived helpfulness of various cessation methods.
Recent quitters (within 12 months; n = 1097) completed a telephone survey including questions relating to 13 cessation methods. Indices of use and perceived helpfulness for each method were plotted in a quadrant analysis. Socio-demographic differences were explored using bivariate and multivariate analyses.
From the quadrant analysis, cold turkey, NRT and gradual reduction before quitting had high use and helpfulness; GP advice had high use and lower helpfulness. Prescribed medication and online programs had low use but high helpfulness. Remaining methods had low use and helpfulness. Younger quitters were more likely to use unassisted methods such as cold turkey; older or less educated quitters were more likely to use assisted methods such as prescribed medication or advice from a general practitioner.
The majority of recent quitters quit cold turkey or cut down before quitting, and reported that these methods were helpful. Efforts to influence population smoking prevalence should attempt to provide support and motivation for smokers choosing these methods, in addition to assessing the effectiveness and accessibility of other methods for smokers who need or choose them.
Cigarette smoking remains the leading preventable cause of death and disease in the developed world [1, 2], and increasing the number of smokers successfully quitting is one of the most effective measures available to improve population health. Cessation activity among smokers is relatively common; more than 40% of current U.S. smokers report having made a serious attempt to quit in the past 12 months  and in the Australian state of New South Wales (NSW) less than 20% of smokers have never tried to quit . However, only about 3% - 5% of smokers maintain abstinence up to one year after quitting . To advance the goal of increasing successful cessation at the population level, it is imperative that we understand how smokers quit, one aspect of which is the use and helpfulness of various cessation methods and aids.
Over the last decade, numerous studies have documented the proportion of smokers using various cessation methods. In the U.S., it is estimated that around one quarter of smokers use pharmacologic treatments such as nicotine replacement therapy (NRT) and bupropion when attempting to quit [3, 6, 7]. The use of behavioural treatments is estimated to be under 8% [3, 7]. Among behavioural treatments, self-help material is the most commonly used, but others include individual, group and telephone counselling . In NSW, the most common aid used in quit attempts is NRT (approximately 33%), followed by bupropion (13.2%), with very small proportions of smokers reporting that they used behavioural aids such as telephone helplines [4, 8]. Despite the increasing availability and marketing of pharmacological and behavioural interventions, population studies consistently show that the largest proportion of smokers who permanently quit smoking do so without any form of assistance [3, 6, 8–12]. That is, the most common method used by people who have successfully stopped smoking remains unassisted cessation (cold turkey or reducing before quitting).
When evaluating cessation methods, it is important to consider not just how often a cessation method is used, but also how helpful it is achieving smoking abstinence. Research investigating the effectiveness of various cessation methods and aids has fallen primarily into two categories - randomized controlled trials and retrospective population surveys. Controlled trials have generally demonstrated the efficacy of behavioural and pharmacological cessation interventions . However, there has been a divergence between the findings from these trials and the results of retrospective population surveys in which smokers who report using behavioural or pharmacologic treatment are less likely to be successful in quitting [3, 8, 11, 14]. Only one recent survey has indicated greater quitting success in individuals who sought assistance than those not seeking assistance . Some researchers have suggested that the inconsistency between the controlled studies and population surveys may be due to selection bias, with heavier or more addicted smokers being more likely to use cessation programs [3, 6, 7, 11], and also being the most likely to relapse .
In the current study, using reports from recent quitters, we take into account both the reported use and perceived helpfulness of different cessation methods. In doing so, we can identify methods which have high impact - those which are used frequently and rated as helpful - as well as those which are rated as helpful, but used less frequently. The latter category could be a target for increased promotion. Conversely, identifying methods which have a low helpfulness rating could inform policy decisions and research priorities. We explore differences in use and perceived helpfulness of cessation methods by quitters who vary by socio-demographic characteristics, as well as by length of abstinence.
Throughout the study period (2007-2009), a range of quitting methods was available to smokers in Australia. A free national telephone cessation helpline (the Quitline) exists and is advertised on all cigarette packets and in media campaigns. NRT has been available over-the-counter since 1997. Bupropion (Zyban®) has been available since 2000 by prescription (with government subsidy since early 2001) and prescribed varenicline (Champix®) has been available with subsidy since January 2008. Additionally, a number of community-outreach groups provide counselling and support, and web-based support is increasingly available.
Participants and Procedure
Data come from the Cancer Institute NSW's Tobacco Tracking Survey (CITTS). The CITTS is a telephone survey of adult smokers and recent quitters (aged 18 years and over) which monitors smoking-related cognitions, intentions and behaviours in the community, as well as responses to tobacco control policies and ongoing anti-smoking media campaigns. Households are recruited to the telephone survey using random digit dialling and participants are recruited using a random selection procedure. Fifty interviews per week are conducted across most weeks of the year; data for this study was collected between April 2007 and December 2009. An overall response rate of 27.4% was achieved for this period (American Association for Public Opinion Research Response Rate #4 ), with a total sample of 7,085 adults (both smokers and recent quitters). Weights were applied to adjust for gender, age and region, according to the NSW population . Analyses for this study are limited to individuals who reported having quit smoking within the last 12 months (recent quitters, n = 1097).
Respondents were asked 'Did you use any of the following to help you quit smoking?'. The cessation methods that respondents were queried about were: NRT (including gum, lozenges, patches or inhalers), prescribed medication, the Quitline, online quit smoking information or programs, other 'how to quit' or 'self-help' materials, cold turkey, cutting down on the amount smoked before quitting (gradual reduction), changing to 'light' cigarettes, advice from dentist, advice from a general practitioner (GP), advice from a pharmacist, advice from another health professional, and natural or alternative therapies (e.g. hypnotherapy, acupuncture, laser therapy). Given that many smokers use one or more methods when quitting [3, 8], respondents could nominate multiple methods. If they answered that they used a cessation method, they were asked whether it had helped them 'a great deal', 'somewhat' or 'not at all' (dichotomised into 'at least somewhat' vs. 'not at all').
Respondents also had the opportunity to report any other aid or method they used or to state that 'none of the above' helped them. Other methods were recorded verbatim, and recoded back into the original list if appropriate. Respondents who answered that they used 'none of the above' and did not specify any other methods (n = 28), or answered 'don't know' (n = 1), were excluded from analyses (resulting weighted sample, n = 1068).
Smoking and Demographic Characteristics
Demographic items measuring age, gender and education level (grouped into high school or less vs some or completed tertiary education) were included in the survey. Respondents were asked how long ago they quit smoking ('in the last two weeks', 'in the last month', 'in the last six months', or 'in the last year'). Postcodes were used with the Socio-Economic Indices for Areas [SEIFA; ] to indicate socio-economic status (quintiles four and five classified as low SES, and quintiles one to three as moderate-high SES).
First, we used a quadrant analysis to simultaneously examine the use and perceived helpfulness of each method . In the quadrant analysis, an index of use for each method was plotted along the x-axis, whilst an index of perceived helpfulness for each method was plotted on the y-axis. First, the proportion of respondents who used a particular cessation method was calculated (x i ). Next, the overall proportion of use of any cessation method (X) was obtained by calculating the weighted average of all x i using the corresponding sample size (n i ) as the weight. Using a weighted average allowed for any method with a larger base sample size to have a greater contribution to the overall proportion of use. An index of use for each method was calculated by dividing x i by X and multiplying by 100, such that a score of 100 was the average. The index of perceived helpfulness was created similarly.
The four quadrants were thus defined: Quadrant I has methods with indices of use and perceived helpfulness both greater than or equal to 100 (high use and high helpfulness); Quadrant II has methods that have an index of use greater than or equal to 100 but an index of helpfulness less than 100 (high use and low helpfulness); Quadrant III has methods that have an index of use less than 100 but an index of helpfulness greater than or equal to 100 (low use but high helpfulness); Quadrant IV has methods with indices of use and helpfulness both less than 100 (low use and low helpfulness).
Next, we conducted bivariate analyses to determine associations between individual characteristics and use or perceived helpfulness of cessation methods, using chi-squared tests or Fisher's Exact test (for two-by-two contingency tables), and assessing linear trend for age. Finally, for each of the most frequently used methods which fell into Quadrants I, II and III, separate multiple logistic regression analyses were used to predict their use and perceived helpfulness. Following Hosmer and Lemeshow's recommendations for logistic regression with a large potential set of predictors , individual characteristics that had at least some degree of association with the outcome variable (p < 0.2) were entered into a backward stepwise logistic regression to predict the outcomes of interest. Only data from respondents who had no missing data on the variables of interest were included in each analysis; missing data on demographic variables reduced sample sizes slightly below the total number of cases available (see ns in tables). All analyses were performed using SPSS version 15 .
The final sample was 54% female. Twenty-four percent of the sample was aged 18-30 years, 41% were 31-50 years, and 35% were over 50 years. Sixty-five percent of these recent quitters had been abstinent less than six months (9% quit in the last 2 weeks; 12% in the last month; 44% more than one month ago but less than 6 months ago; 35% more than 6 months ago). Slightly fewer than half (46%) of the sample had high school or less education, and 36% were classified as low SES.
Use and Perceived Helpfulness of Cessation Methods
Bivariate Associations between Characteristics of Recent Quitters and Use and Perceived Helpfulness of Cessation Methods
Recent quitters' use of cessation methods by socio-demographic and quitting characteristics
USE OF METHODS (%)
Change to light
Male (n = 488)
Female (n = 580)
18-30 (n = 254)
31-50 (n = 436)
51+ (n = 377)
Low (n = 483)
High (n = 573)
Mod-high (n = 657)
Low (n = 373)
0-6 mths (n = 690)
7-12 mths (n = 378)
The use of NRT, pharmacist advice and prescribed medication were each significantly associated with quit duration; use was greater among respondents who had been abstinent six months or less compared to those abstinent more than 6 months. Conversely, cold turkey was used by a significantly larger proportion of quitters who had been abstinent for more than six months. Use of GP advice and prescribed medication was higher among respondents of low SES compared to those of moderate-high SES. However, use of self-help materials and cold turkey was higher among those of moderate-high SES compared to low SES. Use of GP advice and prescribed medication was also higher among respondents with high school or less education compared to those with tertiary education. Use of alternative therapies was higher among those with tertiary education.
Recent quitters' perceived helpfulness of cessation methods by socio-demographic and quitting characteristics
PERCEIVED HELPFULNESS OF METHODS (%)
Unaided methods (n)
Change to light
Multivariate Associations between Characteristics of Recent Quitters and Use and Helpfulness of Cessation Methods
Logistic models predicting recent quitters' use of cold turkey, NRT, GP advice, and prescribed medication
OR (95% CI)
(n = 1028)
(n = 1067)
(n = 1054)
(n = 1055)
In the model predicting quitting cold turkey, being younger in age, having a longer quit duration, or being moderate-high SES were significant predictors. For NRT, recent quitters who were either older in age or had a shorter quit duration were more likely to report using NRT than their respective reference groups. In the model predicting use of GP advice, being less educated, older in age, or having a shorter quit duration were significant predictors. For use of prescribed medication, education, age, and quit duration were retained in the final model. This model had the same set of predictors as the model for GP advice.
When considering multivariate predictors of perceived helpfulness of the methods, only prescribed medication had more than one potential predictor (p < .02). In the logistic regression analysis to predict perceived helpfulness of prescribed medication, gender and SES were retained in the final model, with male quitters marginally more likely to find prescribed medication helpful than females (OR = 4.18, 95% CI[0.94-18.55], p = 0.06) and low SES quitters more likely to find it helpful than moderate-high SES quitters (OR = 13.17, 95% CI[1.57-110.47], p = 0.02).
Consistent with a growing body of literature documenting that the majority of ex-smokers successfully quit without assistance, in the current study, more than two-thirds of recent quitters reported that they had used the cold turkey method to help them quit. Because this study did not explicitly ask about cessation methods used in their last quit attempt, we cannot claim that these smokers finally quit successfully using cold turkey. Nonetheless, our measure of perceived helpfulness for each of the methods provides a good indication that not only is cold turkey used by a large proportion of smokers in quitting and attempting to quit, it is also perceived as being more helpful than any other method. Research shows that smokers often make more than one attempt to quit smoking [22, 23], potentially using a variety of methods either at the same time or over the course of many quit attempts . In this case, the measure of perceived helpfulness is particularly useful, as it allows quitters to make a distinction between the methods that have helped them and those which have not.
Pharmacological aids such as NRT and prescribed medication were also considered helpful by most of the recent quitters who used them. However, NRT was used by less than one third of recent quitters, and prescribed medications less than that. This level of use, despite widespread promotional activity, is consistent with evidence suggesting that, as a population-based strategy, pharmacological aids are unlikely to have as great an impact on lowering smoking prevalence rates as cold turkey [24, 25].
From the quadrant analysis, it was apparent that GP advice, though used relatively frequently, was rated as just below the average level of helpfulness. In 2009, 40% of a sample of NSW smokers had discussed their smoking on their last GP visit, and even more (63%) were open to seeking advice from their doctor . In combination, these findings confirm that physicians' perceptions of patients' disinterest in quitting  should not be a barrier to their engagement in cessation assistance.
From our analysis of individual characteristics associated with use of the various cessation methods, we can develop profile of quitters who used assisted method of quitting. We found that older quitters were more likely to have used GP advice or prescribed medication than younger quitters; less educated quitters were more likely to have used GP advice or prescribed medication than more educated; and individuals who had been quit for less than six months were more likely to have used NRT than those who had been quit for longer. Conversely, the quitters who reported quitting cold turkey were either younger, had been quit for longer, or were of moderate-high SES. Consistent with previous research [3, 6, 7, 11], these findings suggest that more heavily addicted smokers (based quit duration and age) are more likely to use assistance in quitting, while less addicted smokers are more likely to quit cold turkey. These quitting profiles have implications for targeted promotion of assisted cessation services and products.
Emerging research has suggested that internet-based cessation programs might be effective , and this is supported by the relatively high perceived helpfulness of online programs in the current study. However, the overall use of online programs was low. In a recent study, only 24% of 'quit smoking' searches ended at a professional smoking cessation website, with many searches ending at alternative therapy sites , perhaps indicating a paucity of accessible and effective programs. Though the numbers of younger quitters who used online programs in the current study were small, those who did were more likely than older individuals to report that they were helpful. Future research might explore ways to increase young smokers' engagement with effective online support.
This study, along with others [29–31], shows a very low utilisation rate of telephone cessation helplines. In 2009, 81% of ex-smokers and smokers who had tried to quit in NSW were aware of the Quitline but had never called it , suggesting that factors other than awareness might influence use of this service. The low use and perceived helpfulness of the Quitline among NSW quitters suggests that, in its current form, this mode of service may not be an effective population-level strategy for lowering smoking prevalence. Future research might explore how to increase the helpfulness of the service through integration with online support and whether the service may be best promoted to certain subgroups of smokers. The results of this study are also in accordance with accumulating evidence that some cessation aids - such as self-help materials  and natural therapies  - have only marginal helpfulness. Interestingly, of the 105 individuals in this study who reported that 'something else' helped them quit, about 40% of their responses related to advice, support or urging from family and friends. Other researchers have noted this , and it supports recent research indicating that conversations with family and friends might play an important role in the quitting process, and that anti-smoking media campaigns might be helpful in stimulating these kinds of conversations[34, 35].
Strengths of this study are the relatively large sample of recent quitters and the breadth of cessation methods included. However, it relied on retrospective recall of cessation methods, with the possibility that memories of quitting could have become distorted over time. We found an association between duration of quitting and use of cold turkey methods. There are several potential explanations for this. The first is that individuals who have more durable cessation are more likely to have used cold turkey methods, perhaps because they smoked occasionally and did not need more intensive cessation assistance. An alternative explanation is that the longer the duration of cessation, the more likely it is that individuals forget about other methods which may have been helpful such as NRT and instead recall their personal efforts. However, we prompted respondents with each of the different cessation methods in an effort to capture all methods used, rather than simply 'top-of-mind' recall. Our analyses indicated no association between perceived helpfulness of each reported cessation method and duration of quitting. The somewhat low response rate of this survey may have led to some unknown bias, though this rate is comparable with other population surveys which use similarly conservative estimates both in Australia  and the U.S. . Further, the rates of use of the various cessation methods in this study were similar to that in other surveys of NSW smokers [4, 8], suggesting that the sample is representative in this respect. We also note that the survey did not include questions about adherence to any treatment guidelines, details about prior cigarette consumption or quitting history.
Current U.S. Clinical Practice Guidelines recommend that all smokers be advised to use medication and behavioural treatment in quitting . Chapman and Mackenzie raise a potential negative consequence of all smokers being imbued with the message that serious cessation efforts require treatment: they might become disempowered and inhibited in their quit attempts through self-defeating fatalism . Our study confirms that many smokers quit without pharmacological or other interventions and that methods such as quitting cold turkey or gradual reduction are as likely to be rated as helpful as assisted cessation methods. This finding highlights the opportunity for presenting this empowering message to smokers who are ready to try to quit. At the same time, we acknowledge the importance of providing effective support to smokers who need it particularly more heavily nicotine dependent individuals. In addition, population-level strategies such as smoke-free environments , graphic pack warnings , increased cigarette prices , and well funded and effective media campaigns [7, 24], must continue to be emphasised, as they are important sources of motivation and support for smokers - particularly young adults - who make less use of conventional forms of quitting assistance.
This work was not supported by any funding.
The authors thank Professor Melanie Wakefield for her suggestions for further analysis of the data, as well as Professor Simon Chapman, Anita Dessaix and James Kite for their comments on the manuscript. SEIFA data was accessed through the Health Outcomes Information and Statistics Toolkit (HOIST) system, a data access, analysis and reporting facility established and operated by the Centre for Epidemiology and Research, Population Health Division, NSW Department of Health.
- Begg S, Vos T, Barker B, Stevenson C, Stanley L, Lopez A: The burden of disease and injury in Australia 2003. PHE 82. 2007, Canberra: Australian Institute of Health and WelfareGoogle Scholar
- Danaei G, Ding EL, Mozaffarian D, Taylor B, Rehm J, Murray CJL, Ezzati M: The preventable causes of death in the United States: Comparative risk assessment of dietary, lifestyle, and metabollic risk factors. PLoS Medicine. 2009, 6 (4): e1000058-10.1371/journal.pmed.1000058.View ArticlePubMedPubMed CentralGoogle Scholar
- Shiffman S, Brockwell SE, Pillitteri JL, Gitchell JG: Use of smoking-cessation treatments in the United States. Am J Prev Med. 2008, 34 (2): 102-111. 10.1016/j.amepre.2007.09.033.View ArticlePubMedGoogle Scholar
- Cancer Institute NSW: New South Wales Smoking and Health Survey 2009. 2009, Sydney, Australia: Cancer Institute NSWGoogle Scholar
- Hughes JR, Keely J, Naud S: Shape of the relapse curve and long-term abstinence among untreated smokers. Addiction. 2004, 99 (1): 29-38. 10.1111/j.1360-0443.2004.00540.x.View ArticlePubMedGoogle Scholar
- Cokkinides VE, Ward E, Jemal A, Thun MJ: Under-use of smoking-cessation treatments: Results from the National Health Interview Survey, 2000. Am J Prev Med. 2005, 28 (1): 119-122. 10.1016/j.amepre.2004.09.007.View ArticlePubMedGoogle Scholar
- Biener L, Reimer R, Wakefield M, Szczypka G, Rigotti N, Connolly G: Impact of smoking cessation aids and mass media among recent quitters. Am J Prev Med. 2006, 30 (3): 217-224. 10.1016/j.amepre.2005.10.026.View ArticlePubMedGoogle Scholar
- Doran CM, Valenti L, Robinson M, Britt H, Mattick RP: Smoking status of Australian general practice patients and their attempts to quit. Addict Behav. 2006, 31: 758-766. 10.1016/j.addbeh.2005.05.054.View ArticlePubMedGoogle Scholar
- Zhu SH, Melcer T, Sun J, Rosbrook B, Pierce JP: Smoking cessation with and without assistance: A population-based analysis. Am J Prev Med. 2000, 18 (4): 305-311. 10.1016/S0749-3797(00)00124-0.View ArticlePubMedGoogle Scholar
- Walsh RA, Paul CL, Tzelepis F, Stojanovski E: Quit smoking behaviours and intentions and hard-core smoking in New South Wales. Health Promotion Journal of Australia. 2006, 17 (1): 54-60.PubMedGoogle Scholar
- Fiore MC, Novotny TE, Pierce JP, Giovino GA, Hatziandreu EJ, Newcomb PA, Surawicz TS, Davis RM: Methods used to quit smoking in the United States. Do cessation programs help?. J A M A. 1990, 263 (20): 2760-2765. 10.1001/jama.263.20.2760.View ArticlePubMedGoogle Scholar
- Solberg LI, Asche SE, Boyle R, McCarty MC, Thoele MJ: Smoking and cessation behaviors among young adults of various educational backgrounds. Am J Public Health. 2007, 97 (8): 1421-1426. 10.2105/AJPH.2006.098491.View ArticlePubMedPubMed CentralGoogle Scholar
- Stead LF, Perera R, Bullen C, Mant D, Lancaster T: Nicotine replacement therapy for smoking cessation. Cochrane Database of Systematic Reviews. 2008, CD000146-1Google Scholar
- Alberg AJ, Patnaik JL, May JW, Hoffman S, Gitchell J, Comstock G, Helzlsouer KJ: Nicotine replacement therapy use among a cohort of smokers. J Addict Dis. 2005, 24: 101-103.View ArticlePubMedGoogle Scholar
- Hymowitz N, Cummings KM, Hyland A, Lynn WR, Pechacek TF, Hartwell TD: Predictors of smoking cessation in a cohort of adult smokers followed for five years. Tob Control. 1997, 6 (Suppl 2): S57-62. 10.1136/tc.6.suppl_2.S57.View ArticlePubMedPubMed CentralGoogle Scholar
- American Association for Public Opinion Research: Standard definitions: final dispositions of case codes and outcome rates for surveys. 2008, Lenexa, Kansas: AAPORGoogle Scholar
- Australian Bureau of Statistics: Population by age and sex, Australian states and territories, June 2006. 2007, Canberra: Australian Bureau of StatisticsGoogle Scholar
- Australian Bureau of Statistics: 2006 census of population and housing: Socio-economic indexes for area's (SEIFA). 2008, Canberra, Australia: Commonwealth of AustraliaGoogle Scholar
- Dillon WR, Madden TJ, Firtle NH: Marketing Research in a Marketing Environment. 1994, Burr Ridge, Illinois: IrwinGoogle Scholar
- Hosmer DW, Lemeshow S: Applied logistic regression. 2000, New York: Wiley & Sons, 2View ArticleGoogle Scholar
- SPSS Inc.: SPSS For Windows Version 15. 2005, Chicago, IL: SPSS, IncGoogle Scholar
- 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 & Tobacco Research. 2004, 6 (3): S363-369.View ArticleGoogle Scholar
- Fiore MC, Bailey WC, Cohen SJ, Dorfman SF, Goldstein MG, Gritz ER, Heyman RB, Holbrook J, Jaen CR, Kottke TE, et al: Treating tobacco use and dependence: 2008 update. Clinical practice guideline. 2008, Rockville MD: U.S. Department of Health and Human Services, Public Health ServiceGoogle Scholar
- Wakefield MA, Durkin S, Spittal M, Siahpush M, Scollo M, Simpson JA, Chapman S, White V, Hill D: Impact of tobacco control policies and mass media campaigns on monthly adult smoking prevalence. Am J Public Health. 2008, 98 (8): 1443-1450. 10.2105/AJPH.2007.128991.View ArticlePubMedPubMed CentralGoogle Scholar
- Chapman S, Mackenzie R: The global research neglect of unassisted smoking cessation: causes and consequences. PLoS Medicine. 2010, 7 (2): e1000216-10.1371/journal.pmed.1000216.View ArticlePubMedPubMed CentralGoogle Scholar
- Young JM, Ward JE: Implementing guidelines for smoking cessation advice in Australian general practice: opinions, current practices, readiness to change and perceived barriers. Fam Pract. 2001, 18 (1): 14-20. 10.1093/fampra/18.1.14.View ArticlePubMedGoogle Scholar
- Strecher VJ, Shiffman S, West R: Randomized controlled trial of a web-based computer-tailored smoking cessation program as a supplement to nicotine patch therapy. Addiction. 2005, 100 (5): 682-688. 10.1111/j.1360-0443.2005.01093.x.View ArticlePubMedGoogle Scholar
- Cobb N: Online consumer search strategies for smoking-cessation information. Am J Prev Med. 2010, 38 (3 Suppl): S429-S432.View ArticlePubMedGoogle Scholar
- Keller PA, Feltracco MA, Bailey LA, Li Z, Niederdeppe J, Baker TB, Fiore MC: Changes in tobacco quitlines in the United States, 2005-2006. Preventing Chronic Disease: Public Health Research, Practice, and Policy. 2010, 7 (2): 1-6.Google Scholar
- Miller CL, Wakefield M, Roberts L: Uptake and effectiveness of the Australian telephone Quitline service in the context of a mass media campaign. Tob Control. 2003, 12 (Suppl 2): ii53-ii58.PubMedPubMed CentralGoogle Scholar
- Kaufman A, Auguston E, Davis K, Finney Rutton LJ: Awareness and use of tobacco quitlines: Evidence from the Health Information National Trends Survey. Journal of Health Communication. 2010, 15 (Suppl 3): 264-278. 10.1080/10810730.2010.526172.View ArticlePubMedPubMed CentralGoogle Scholar
- Lancaster T, Stead LF: Self-help interventions for smoking cessation. Cochrane Database Systematic Review. 2005, 3: CD001118-Google Scholar
- White AR, Rampes H, Campbell JL: Acupuncture and related interventions for smoking cessation. Cochrane Database of Systematic Reviews. 2006, 1: CD000009-PubMedGoogle Scholar
- Dunlop SM, Wakefield M, Kashima Y: The contribution of anti-smoking advertising to quitting: intra- and inter-personal processes. Journal of Health Communication. 2008, 13 (3): 250-266. 10.1080/10810730801985301.View ArticlePubMedGoogle Scholar
- Durkin S, Wakefield M: Maximising the impact of emotive anti-tobacco advertising: effects of interpersonal discussion and program placement. Social Marketing Quarterly. 2006, 12 (3): 3-14. 10.1080/15245000600851334.View ArticleGoogle Scholar
- Thompson ME, Fong GT, Hammond D, Boudreau C, Driezen P, Hyland A, Borland R, Cummings KM, Hastings GB, Siahpush M, et al: Methods of the International Tobacco Control (ITC) Four Country Survey. Tob Control. 2006, 15 (Suppl 3): iii12-iii18.PubMedPubMed CentralGoogle Scholar
- Cantor D, Coa K, Crystal-Mansour S, Davis T, Dipko S, Sigman RRF: Health information national trends survey (HINTS) 2007: Final report. 2009Google Scholar
- Fichtenberg CM, Glantz SA: Effect of smoke-free workplaces on smoking behaviour: systematic review. Br Med J. 2002, 325: 188-10.1136/bmj.325.7357.188.View ArticleGoogle Scholar
- Borland R, Yong HH, Wilson N, Fong GT, Hammond D, Cummings KM, Hosking W, McNeill A: How reactions to cigarette packet health warnings influence quitting: findings from the ITC Four-Country survey. Addiction. 2009, 104 (4): 669-675. 10.1111/j.1360-0443.2009.02508.x.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/11/592/prepub
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