Unassisted Smoking Cessation Research Articles

Is unassisted smoking cessation choice and success associated with high mental stress? Evidence from six cities in China.

Unassisted smoking cessation (USC) is a method of quitting smoking driven by self-determination without the support of professional cessation assistance. This approach may contribute to a potential decrease in overall smoking prevalence within a population. However, the factors potentially influencing smokers' choice of USC and their success remain unclear. This study examined the associations between mental stress and USC choice and success. Between June and September 2016, a cross-sectional multistage sampling design was used to interview subjects from six selected cities in China. A standardized questionnaire was used to obtain information on sociodemographic characteristics, USC choice, and success. Mental stress was measured by the Chinese version of the Perceived Stress Scale (CPSS). Multivariate logistic regression models were used to examine the association between mental stress, USC choice, and success, with adjustments for relevant covariates. Among 1647 smokers who had attempted or had quit, 91.6% (95% CI: 90.9-97.5) reported that they had done so without assistance, and 42.1% (95% CI: 32.4-61.3) of them achieved abstinence. While mental stress was not significantly associated with USC success (χ2=2.02, p=0.1547), smokers experiencing high levels of mental stress were 0.34 times less likely (95% CI: 0.23-0.50) to attempt USC compared to those with low levels of mental stress. Moreover, a significant negative linear association was observed between varying levels of mental stress and the prevalence of USC use (R2=0.910, p<0.001). The study findings should help to understand USC and its role in reducing smoking prevalence in the Chinese population. These findings can inform future tobacco control programs and policies in China. Government and social agencies should prioritize understanding smokers' preferences for USC and providing USC services to promote success within the population.

Utilization of Smoking Cessation Support Among Adults - 18 PLADs, China, 2020.

In 2018, unassisted smoking cessation (USC) was the predominant method for quitting smoking among Chinese adult smokers, accounting for 90.1% of cases. The utilization of professional smoking cessation support was comparatively low in this population. In 2020, the prevalence of USC methods increased to 93.1%. Concurrently, there was a slight increase in the utilization of pharmaceuticals (from 4.6% in 2018 to 5.5% in 2020) and counseling and quit line services (from 3.2% in 2018 to 7.5% in 2020). On the other hand, the use of e-cigarettes as a cessation aid decreased from 14.9% in 2018 to 9.8% in 2020. Smokers aged 15-24 years old were more likely to rely on pharmaceutical interventions (7.9%), and less likely to choose USC methods (79.0%). The promotion of professional cessation support is essential for enhancing smoking cessation rates.

Quitting is such a sweet sorrow: a grounded theory study of unassisted smoking cessation among Filipino adult smokers

Quitting is such a sweet sorrow: a grounded theory study of unassisted smoking cessation among Filipino adult smokers

Real-world unassisted quit success and related contextual factors: a population-based study of Chinese male smokers

ObjectivesTo examine the association of exposure to secondhand smoke (SHS) and tobacco advertising with unassisted smoking cessation among Chinese male smokers.MethodsA questionnaire was administered to 6500 male adult smokers from...

Tobacco Advertising, Anti-Tobacco Information Exposure, Environmental Smoking Restrictions, and Unassisted Smoking Cessation Among Chinese Male Smokers: A Population-Based Study.

The study examined the prevalence of unassisted smoking cessation among Chinese urban male smokers and factors important in the decision to quit. A cross-sectional survey employing multistage sampling involving 5,782 participants in six cities in China was conducted. Survey respondents reported their smoking cessation status and related individual and environmental variables. Among current smokers 1,112 or 35.0% (95% CI [31.0%, 40.8%]) had attempted to quit and of those who had made such an attempt 87.6% reported that they had done so without assistance. Of all former smokers (3,389), most (97.6%; 95% CI [96.7%, 98.5%]) quit without assistance. Logistic regression analysis showed those who engaged in physical exercise and who had more belief in their ability to quit were more than twice as likely to make a quit attempt and be successful than those in comparable reference groups. Exposure to tobacco advertising was negatively associated with both unassisted quit attempts and success. By contrast, exposure to anti-tobacco information was positively associated with unassisted quit attempts while household and workplace smoking restrictions were negatively associated with unassisted attempts to quit. Most attempts to quit smoking among Chinese males are unassisted. Unassisted attempts to quit smoking and success rates are highly influenced by the presence of environmental smoking restrictions, tobacco advertising, and exposure to anti-tobacco information. Smoking cessation programs and policies in China need to pay greater attention to the social and cultural norms, which perpetuate high levels of smoking.

Effective Factors on Unassisted Smoking Cessation

Effective Factors on Unassisted Smoking Cessation

A Qualitative Study on Unassisted Smoking Cessation Among Chinese Canadian Immigrants

It is well-known that majority of smokers worldwide quit smoking without any assistance. This is even more evident among Chinese smokers. The aim of this qualitative study was to explore how Chinese Canadian immigrant men who smoked cigarettes perceived smoking cessation aids and services and how they used any form of the smoking cessation assistance to help them quit smoking. The study was conducted in British Columbia, Canada. Twenty-two Chinese immigrants were recruited by internet advertisement and through connections with local Chinese communities. Ten of the 22 participants were current smokers and the other 12 had quit smoking in the past 5 years. Data were collected using semistructured interviews. Although all participants, including both the ex-smokers and current smokers, had made more than one quit attempt, they rarely used cessation aids or services even after they had immigrated to Canada. The barriers to seeking the cessation assistance were grouped into two categories: practical barriers and cultural barriers. The practical barriers included "Lack of available information on smoking cessation assistance" and "Difficulty in accessing smoking cessation assistance," while cultural barriers included "Denial of physiological addiction to nicotine," "Mistrust in the effectiveness of smoking cessation assistance," "Tendency of self-reliance in solving problems," and "Concern of privacy revelation related to utilization of smoking cessation assistance." The findings revealed Chinese immigrants' unwillingness to use smoking cessation assistance as the result of vulnerability as immigrants and culturally cultivated masculinities of self-control and self-reliance.

Effects of depressive symptoms on antecedents of lapses during a smoking cessation attempt: an ecological momentary assessment study

To investigate pathways through which momentary negative affect and depressive symptoms affect risk of lapse during smoking cessation attempts. Ecological momentary assessment was carried out during 2 weeks after an unassisted smoking cessation attempt. A 3-month follow-up measured smoking frequency. Data were collected via mobile devices in German-speaking Switzerland. A total of 242 individuals (age 20-40, 67% men) reported 7112 observations. Online surveys assessed baseline depressive symptoms and nicotine dependence. Real-time data on negative affect, physical withdrawal symptoms, urge to smoke, abstinence-related self-efficacy and lapses. A two-level structural equation model suggested that on the situational level, negative affect increased the urge to smoke and decreased self-efficacy (β = 0.20; β = -0.12, respectively), but had no direct effect on lapse risk. A higher urge to smoke (β = 0.09) and lower self-efficacy (β = -0.11) were confirmed as situational antecedents of lapses. Depressive symptoms at baseline were a strong predictor of a person's average negative affect (β = 0.35, all P < 0.001). However, the baseline characteristics influenced smoking frequency 3 months later only indirectly, through influences of average states on the number of lapses during the quit attempt. Controlling for nicotine dependence, higher depressive symptoms at baseline were associated strongly with a worse longer-term outcome. Negative affect experienced during the quit attempt was the only pathway through which the baseline depressive symptoms were associated with a reduced self-efficacy and increased urges to smoke, all leading to the increased probability of lapses.

Quitting Smoking Unassisted

Smoking cessation research today is dominated by the development and evaluation of interventions to improve the odds of quitting successfully. Yet little attention has been paid to the large majority of ex-smokers who quit without recourse to any formal assistance. To many, these unassisted quitters are of little interest other than as a comparator population against which to test the efficacy or effectiveness of pharmaceutical or behavioral interventions. The effect of this neglect is compounded by the preference for reporting intervention success as rates rather than as the numbers of ex-smokers generated across populations through such interventions. In so doing, researchers have insulated those in policy and practice from the importance of unassisted smoking cessation and the unparalleled contribution it has made and will continue to make to reducing smoking prevalence.

Large-scale unassisted smoking cessation over 50 years: lessons from history for endgame planning in tobacco control

In the 50 years since the twentieth century's smoking epidemic began to decline from the beginning of the 1960s, hundreds of millions of smokers around the world have stopped smoking...

Distinct coping strategies differentially predict urge levels and lapses in a smoking cessation attempt

This study analysed mechanisms through which stress-coping and temptation-coping strategies were associated with lapses. Furthermore, we explored whether distinct coping strategies differentially predicted reduced lapse risk, lower urge levels, or a weaker association between urge levels and lapses during the first week of an unassisted smoking cessation attempt. Participants were recruited via the internet and mass media in Switzerland. Ecological momentary assessment (EMA) with mobile devices was used to assess urge levels and lapses. Online questionnaires were used to measure smoking behaviours and coping variables at baseline, as well as smoking behaviour at the three-month follow-up. The sample consisted of 243 individuals, aged 20 to 40, who reported 4199 observations. Findings of multilevel regression analyses show that coping was mainly associated with a reduced lapse risk and not with lower urge levels or a weaker association between urge levels and lapses. ‘Calming down’ and ‘commitment to change’ predicted a lower lapse risk and also a weaker relation between urge levels and lapses. ‘Stimulus control’ predicted a lower lapse risk and lower urge levels. Conversely, ‘task-orientation’ and ‘risk assessment’ were related to higher lapse risk and ‘risk assessment’ also to higher urge levels. Disengagement coping i.e. ‘eating or shopping’, ‘distraction’, and ‘mobilising social support’ did not affect lapse risk. Promising coping strategies during the initial stage of smoking cessation attempt are targeted directly at reducing the lapse risk and are characterised by engagement with the stressor or one's reactions towards the stressor and a focus on positive consequences instead of health risks.

Quitlines and Nicotine Replacement for Smoking Cessation: Do We Need to Change Policy?

In the past 20 years, public health initiatives on smoking cessation have increased substantially. Randomized trials indicate that pharmaceutical cessation aids can increase success by 50% among heavier smokers who seek help, and use of these aids has increased markedly. Quitlines provide a portal through which smokers can seek assistance to quit and are promoted by tobacco control programs. Randomized trials have demonstrated that telephone coaching following a quitline call can also increase quitting, and a combination of quitlines, pharmaceutical aids and physician monitoring can help heavier smokers to quit. While quit attempts have increased, widespread dissemination of these aids has not improved population success rates. Pharmaceutical marketing strategies may have reduced expectations of the difficulty of quitting, reducing success per attempt. Some policies actively discourage unassisted smoking cessation despite the documented high success rates of this approach. There is an urgent need to revisit public policy on smoking cessation.

Identifying Distinct Quitting Trajectories after an Unassisted Smoking Cessation Attempt: An Ecological Momentary Assessment Study

Objectives: This study aimed at identifying distinct quitting trajectories over 29 days after an unassisted smoking ces- sation attempt by ecological momentary assessment (EMA). In order to validate these trajectories we tested if they predict smoking frequency up to six months later. Methods: EMA via mobile phones was used to collect real time data on smoking (yes/no) after an unassisted quit attempt over 29 days. Smoking frequency one, three and six months after the quit attempt was assessed with online questionnaires. Latent class growth modeling was used to analyze the data of 230 self-quitters. Results: Four different quitting trajectories emerged: quitter (43.9%), late quitter (11.3%), returner (17%) and persistent smoker (27.8%). The quitting trajectories predicted smoking frequency one, three and six months after the quit attempt (all p < 0.001). Conclusions: Outcome after a smoking cessation attempt is better described by four distinct trajectories instead of a binary variable for abstinence or relapse. In line with the relapse model by Marlatt and Gordon, late quitter may have learned how to cope with lapses during one month after the quitting attempt. This group would have been allocated to the relapse group in traditional outcome studies.

The Global Research Neglect of Unassisted Smoking Cessation: Causes and Consequences

As with problem drinking, gambling, and narcotics use [1]–[9] population studies show consistently that a large majority of smokers who permanently stop smoking do so without any form of assistance [10]–[15]. In 2003, some 20 years after the introduction of cessation pharmacotherapies, smokers trying to stop unaided in the past year were twice as numerous as those using pharmacotherapies and only 8.8% of US quit attempters used a behavioural treatment [16]. Moreover, despite the pharmaceutical industry's efforts to promote pharmacologically mediated cessation and numerous clinical trials demonstrating the efficacy of pharmacotherapy, the most common method used by most people who have successfully stopped smoking remains unassisted cessation (cold turkey or reducing before quitting [16],[17]). In 1986, the American Cancer Society reported that: “Over 90% of the estimated 37 million people who have stopped smoking in this country since the Surgeon General's first report linking smoking to cancer have done so unaided.” [18]. Today, unassisted cessation continues to lead the next most successful method (nicotine replacement therapy [NRT]) by a wide margin [15],[16]. Yet, paradoxically, the tobacco control community treats this information as if it was somehow irresponsible or subversive and ignores the potential policy implications of studying self-quitters. Unassisted cessation is seldom emphasised in advice to smokers [19]. We know of no campaigns that highlight the fact that most ex-smokers quit unaided even though hundreds of millions have done just that. Reviews typically give unassisted cessation cursory attention [20], framing it as a challenge to be eroded by persuading more smokers to use pharmacotherapies: “Unfortunately, most smokers …fail to use evidence-based treatments to support their quit attempts” [21]; “If there is a major failing in the UK approach, it is not that it has medicalised smoking, but that it has not done so enough.” [22]. Clinical guidelines also ignore unassisted cessation [8]. Finally, although the US National Center for Health Statistics routinely included a question on “cold turkey” cessation in its surveys between 1983 and 2000, this question disappeared in 2005 [23]. Because of these prevalent attitudes, smoking cessation is becoming increasingly pathologised, a development that risks distortion of public awareness of how most smokers quit to the obvious benefit of pharmaceutical companies. Furthermore, the cessation research literature is preoccupied with the difficulty of stopping. Notably, however, in the rare literature that has bothered to ask [24], many ex-smokers recall stopping as less traumatic than anticipated. For example, in a large British study of ex-smokers in the 1980s, before the advent of pharmacotherapy, 53% of the ex-smokers said that it was “not at all difficult” to stop, 27% said it was “fairly difficult”, and the remainder found it very difficult [25]. We recently hypothesized that research into smoking cessation follows what we call “the inverse impact law of smoking cessation.” This law posits that “the volume of research and effort devoted to professionally and pharmacologically mediated cessation is in inverse proportion to that examining how most ex-smokers actually quit. Research on cessation is dominated by ever-finely tuned accounts of how smokers can be encouraged to do anything but go it alone when trying to quit—exactly opposite of how a very large majority of ex-smokers succeeded.” [26] In this Policy Forum, we test this law and, because a recent review of Cochrane selected randomized controlled trials of NRT [27],[28] found that while 51% of industry-funded trials reported significant cessation effects, only 22% of nonindustry trials did, we also test the hypotheses that research on pharmaceutically mediated cessation is frequently conducted by researchers supported by pharmaceutical companies and that support for research into unassisted cessation and nonpharmaceutical interventions is less common. Throughout this Policy Forum, by assisted cessation, we mean any pharmacotherapy or any individual or group behavioural or cognitive intervention. By unassisted cessation, we mean approaches that involve none of these interventions but instead include interventions such as changes in tobacco tax, smoking restrictions, or public awareness campaigns designed to stimulate cessation. We then consider why research into how most people stop smoking is being neglected and reflect on the potential negative consequences for public health of repeatedly megaphoning the message that “serious” cessation is assisted cessation, a message that implies that unassisted cessation is less worthy of research attention, publicity, and consideration by quitters. Finally, we suggest how the message that smokers are getting about cessation should be adjusted to help more people quit.

Quitting smoking: estimation by meta‐analysis of the rate of unaided smoking cessation

The rates (after 12 months' follow-up) of unassisted smoking cessation reported in the literature have varied from 13.8 per cent to 8.5 per cent. A meta-analysis was conducted of the abstinence rates observed in 14 samples of smokers who presented at primary health settings and received either no intervention aimed at smoking or usual care (which involved no deliberate intervention for smoking cessation). The estimated rate of stopping smoking without intervention, over an average 10-month period, was 7.33 per cent. This rate is consistent with others reported in the literature when motivation to quit is taken into account. The estimate provides a baseline to judge the effects of smoking-cessation interventions.