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7.7 Environmental and biopsychosocial factors that influence quitting
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Greenhalgh, EM|Jenkins, S|Stillman, S|Ford, C. 7.7 Environmental and biopsychosocial factors that influence quitting. In Greenhalgh, EM|Scollo, MM|Winstanley, MH [editors]. Tobacco in Australia: Facts and issues. Melbourne : Cancer Council Victoria; 2019. Available from https://www.tobaccoinaustralia.org.au/chapter-7-cessation/7-7-environmental-and-biopsychosocial-factors-that-influence-quitting
Last updated: September 2026

7.7 Environmental and biopsychosocial factors that influence quitting

There are many factors that can influence the success or failure of quit attempts,1-5 including:1,2

  • physiological (e.g. level of nicotine dependence, withdrawal symptoms)
  • behavioural (e.g. slip-ups, pattern of smoking)
  • environmental (e.g. living or working with people who smoke, having friends who smoke, home or workplace smokefree policies or seeing tobacco products displayed)
  • psychological or emotional/affective (e.g. stress, depression, anxiety, psychiatric disorders)
  • cognitive (e.g. knowledge, attitudes, self-exempting beliefs, motivation, self-efficacy)
  • access to interventions (e.g. affordable quitting medications, treatment programs)
  • social context or life circumstances that may make quitting smoking a low priority (e.g. poverty, social isolation, lack of perceived safety, social norms).

Of all these factors, greater nicotine dependence is the factor most consistently predictive of failure in quitting.6,7 Social smoking cues and a recently failed quit attempt are also important predictors.8,9 Some of these factors are examined in more detail below.

7.7.1 Individual differences that predict success or failure in quit attempts

While factors associated with quitting vary between studies and individuals, there are some reasonably consistent findings. The focus of most studies has been on individual psychological and demographic factors associated with success or failure in quitting. Some of these factors can also influence how satisfied a person feels with quitting.10 There are large changes in a person’s beliefs, experiences and expectations in the days and weeks after quitting.11,12 Lower abstinence self-efficacy (i.e. belief in their own ability to stay quit) and higher frequency of urges to smoke can predict subsequent relapse,13,14 as can deficits in impulse control.12 Differences have been observed in factors affecting cessation among younger compared with older people, and men compared with women; these are detailed in 7.19 Interventions tailored for age and/or gender.

7.7.1.1 Duration of smoking

Evidence on the relationship between age and cessation is inconsistent.1,6,7,15 Several international studies indicate a trend for people who start smoking at a later age to be more likely to quit.15-21 Based on these findings, interventions that at least delay the onset of smoking by adolescents could theoretically increase their likelihood of later quitting,18 however there is no longitudinal evidence to show that such an approach is effective.

Younger people who smoke are more likely to make a quit attempt.6,22 Older people who smoke may be unwilling to try to quit because of mistaken beliefs that it is too late as damage has already been done, that they have the genetic make-up to protect them from the harm of smoking, or that they will not benefit much from quitting.23

The evidence on whether age improves success in quitting is mixed; older studies found that older people were more likely to succeed in quitting, however more recent studies have found that younger people have greater success or no differences between age groups. One study found that the higher quit success observed among younger people was largely explained by their lower levels of nicotine dependence.22

7.7.1.2 Level of dependence (heaviness, time to first cigarette)

People with a higher level of nicotine dependence are less likely to make an attempt to quit and also to find it more difficult,6-8,15,24-27 particularly in the early stages of a quit attempt.28 This may reflect more severe withdrawal symptoms, more pronounced neuro-adaptation (changes to the brain from nicotine exposure), a greater constitutional need for nicotine, a more highly learned and deeply ingrained habit, or possibly a physical or social environment that discourages staying quit (i.e. one with more cues and opportunities to smoke).3,6,29,30 There is also evidence that people who are more dependent experience greater negative affect and craving pre- and post-quit regardless of their cessation status and that these factors are associated with relapse.31,32 Getting out of bed to smoke during the night is an indicator of nicotine dependence, and there is some evidence that people who smoke at night report significant sleep disturbance and may be at particular risk of relapse when they try to quit.33,34 A longitudinal study in California found that people with higher nicotine dependence started smoking earlier in life, highlighting the importance of preventing nicotine use among young people.21 Another study found that lower nicotine dependence was associated with quitting success only among younger adults.35 Data from the Californian Quitline shows that dependent people often make numerous attempts to quit before they are successful, suggesting that those who are unsuccessful on any one attempt should be encouraged to try again.36,35 There is also evidence that people who smoke both cigarettes and other tobacco products, such as cigars, pipes and waterpipes, are less likely to successfully quit smoking.37

See Chapter 6 for further information on addiction to tobacco and measures of nicotine dependence.

7.7.1.3 Severity of withdrawal symptoms

One of the main motives for continued smoking is to relieve nicotine withdrawal syndrome3 (discussed more fully in Chapter 6). The major symptoms of nicotine withdrawal syndrome include mood changes such as irritability, aggression, anxiety and depression; restlessness; poor concentration; increased appetite; cravings/urges to smoke; disturbed sleep; decreased heart rate; and decreased levels of adrenaline and cortisol.38 Withdrawal symptoms are generally most intense in the first week after quitting, and last a further two to four weeks.38 However, withdrawal symptoms can be highly variable, both between persons and over time.39 In some people symptoms can be chaotic; they may fall and rise, or they may not decline for a number of weeks.29,38,40 In one study tracking withdrawal symptoms in real time, reports of recent smoking, exposure to someone smoking, and stress were all associated with worse cravings, negative affect, and greater experiences of other withdrawal symptoms in the weeks after quitting, but individual responses varied greatly.41 Although withdrawal can last several weeks or more, prolonged withdrawal states beyond six months do not appear to occur with cigarette cessation.38 Relapse is often related to greater severity of symptoms, greater day-to-day symptom volatility, increases in symptoms over time, and a greater degree of symptom relief associated with re-uptake of smoking.40,42

Urges to smoke/cravings are a core component of withdrawal and a powerful predictor of relapse.3,13,15,32,43,44 Nicotine replacement products can help reduce their severity.3,29,45 Cravings appear to be related to negative affect.31 However, urges to smoke can also be triggered by cues associated with smoking, even, in some cases, months or years after quitting.46-48

7.7.1.4 Genetic influences

Building on earlier observations that smoking and quitting rates are more similar among monozygotic (identical) than dizygotic twins,49 modern research has identified robust genetic influences on nicotine dependence.50,51 Multiple large-scale meta-analyses have supported the relationship between certain genetic variants and smoking heaviness (defined by cigarettes per day) and quitting success/smoking persistence.52-57 Carrying a high-risk genetic variant seems to be an important predictor of how heavily a person will smoke, their level of addiction, and the probability of relapse after attempting to quit.56,58

Genetic influences have been estimated to account for about half of the variance in risk for unsuccessful smoking cessation,59 and along with level of dependence, genetic variants can also influence the effectiveness of pharmacologic cessation therapies—see Section 7.16. Variants in another gene have been shown to affect the rate of nicotine metabolism. Fast metabolisers are less likely to quit smoking,60 this may be because when their nicotine levels drop rapidly, they experience more cravings.61 Studies indicate that individuals with slow nicotine metabolism are more likely to quit smoking using NRT patches than those with fast or normal nicotine metabolism.62 One study also found that varenicline was more effective compared to NRT patches among normal/fast metabolisers.63 Taken together, these findings have prompted suggestions that developing personalised smoking cessation interventions based on a person’s genetic risk factors could lead to greater success in smoking cessation interventions.61,62,64

 A cohort study of people who smoke in the UK found that attributing smoking to genetic factors is associated with lower levels of perceived control over smoking but not lower quit rates, suggesting that learning of one's genetic predisposition to smoking as part of a personalised smoking cessation intervention may not deter quitting.65

7.7.1.5 History of previous failed quit attempts

Research indicates that previous attempts at quitting, and the recency and duration of quit attempts predicts making another quit attempt.6,17 People who have made recent attempts to quit are more likely to try again, and those whose previous attempts have lasted longer are more likely to successfully stop.6,66-68 Results from a longitudinal study of adults who smoke from Canada, the US, the UK, and Australia (the ITC-4 study) showed that ever having made a quit attempt, especially within the previous year, strongly predicted subsequent quit attempts. The likelihood of subsequent attempts decreased with time since last quit attempt, suggesting that rather than being demoralised by failed attempts, people may instead be motivated to try again. However, findings also showed that the likelihood of achieving sustained abstinence was reduced for people with a failed quit attempt within the last year, and even more so for those with two or more failed attempts.9 Multiple failed attempts can result in cessation fatigue. Another ITC-4 study similarly found that people reporting cessation fatigue were more likely to make a quit attempt, but less likely to sustain abstinence.69 People who repeatedly try to quit, but fail, may therefore need tailored support in order to stay quit.9 Nonetheless, even unsuccessful quit attempts can be beneficial; people who relapse are more likely to reduce consumption compared to those not making a quit attempt,70 which can be a useful step toward complete cessation.71 Many Australians who successfully quit smoking also report that insights gained from past quit attempts contributed to their eventual success.72

7.7.1.6 Confidence and self-efficacy

Self-efficacy is the belief or confidence that one has the capacity to perform a behaviour, and that the action will achieve its desired outcome. Self-efficacy is an important tenet of social cognitive theory (see Section 7.3), and is often thought to underpin motivation and to be a requirement for behaviour change, along with having actual skills, knowledge and opportunity.73,74 According to the theory, behaviour change comprises a number of phases, each affected by self-efficacy beliefs.74 In the context of smoking cessation, these can include considering quitting, motivation to stop smoking, persevering with the change, being vulnerable to relapse, recovering after a setback, and adjusting to and maintaining a non-smoking lifestyle. One study has shown that self-efficacy judgements and expectations are predicted by a person’s smoking behaviour and quitting history.75

In general, high self-efficacy is a predictor of success at smoking cessation in the short to medium term.13,76-78 Self-efficacy is reinforced by success,73 but tends to decrease following relapse.79 Self-efficacy may therefore reflect recent smoking behaviour change rather than solely cause it.80 Evidence suggests that drops in self-efficacy are associated with progression from one lapse to the next.81 Some additional factors can also affect a person’s self-efficacy; in one study, self-efficacy for quitting tended to be lower in people from low socio-economic backgrounds,82 while in another, people who were experiencing pain had reduced self-efficacy for future smoking abstinence.83 One ITC-4 study also found that quit efficacy was associated with abstinence only among older people (aged 40 or older).35

There is some evidence that self-efficacy may be less influential than previously thought, and that its importance may have been overestimated by failing to appropriately control for smoking behaviour at the time of self-efficacy assessment.84 The predictive power of people’s self-efficacy beliefs may be limited by their limited understanding of the challenges associated with quitting, or influenced by the phase of change they are in at the time of measuring self-efficacy. For example, if a person bases their self-efficacy beliefs on his or her confidence at resisting temptations to smoke immediately after quitting, but does not consider the need to adjust to a non-smoking lifestyle in the longer term, then self-efficacy may not have as much value for predicting long-term success.76,85-87 Further, self-efficacy beliefs based on past quitting experience may be better informed than pre-quitting expectations.77 Nonetheless, a number of studies have affirmed self-efficacy as an important predictor of quitting behaviours and maintaining abstinence.88-91

7.7.1.7 Impulsivity, sensation seeking, and time perspective

Impulsivity and sensation seeking are related, individual differences that have been linked to risky behaviour, including smoking.92 Sensation seeking refers to a person’s tendency to seek out and engage in thrilling activities, while impulsivity is a person’s tendency to act in haste, without sufficient reflection or restraint.93 Several studies have found that people with higher sensation seeking and/or impulsivity scores are less likely to succeed in quitting smoking.94-100 Several studies using data from the ITC-4 study found that the related construct of time perspective is also an important determinant of smoking cessation; people with a stronger future orientation at baseline (i.e., a tendency to consider future outcomes, and value them more highly than more immediate happenings) were more likely to have tried to quit at follow-up.92,99,101 People with stronger future orientation were also more likely to have quit at follow-up and this relationship was largely explained by an greater tendency to try to quit among future-oriented people.92 However future-orientated people were more likely to relapse after making a quit attempt. This relationship appeared to be moderated by financial stress, with greater future-orientation increasing the likelihood of successful quitting among people who were financially distressed, but reducing the likelihood of abstinence among people who were not financially distressed.99

In an attempt to better understand the mechanisms underlying these relationships, one study found that higher sensation seeking predicted lower compliance with NRT and cessation strategies, which in turn reduced the odds of abstinence.94 Researchers have theorised that people high in sensation seeking may be less able to engage in non-automatic planned strategies (such as making plans for high risk situations, thinking about the benefits of quitting, or avoiding situations that could trigger smoking) that would help them to avoid relapse. They suggest that people high in sensation seeking might therefore benefit from behavioural rehearsal of cessation strategies and emphasis on compliance, in order to alleviate the effects of strategic processing deficits among such people.94 Similarly, results from the ITC-4 study suggest that encouraging people who smoke to adopt a future-oriented time perspective, and emphasising the importance of maintaining engagement in the quit cycle by making repeated cessation attempts over time, may be useful components of a tailored intervention.92

7.7.1.8 Concern about weight gain

Fear of weight gain is a significant factor in discouraging quitting and provoking relapse.5,102-110 Researchers that developed a specific measure of smoking-related weight concerns found that four factors—smoking to suppress appetite, smoking to prevent overeating, smoking to cope with body dissatisfaction, and withdrawal-related appetite increases—predicted smoking frequency, eating pathology, and body image concerns.111 Some evidence suggests that weight gain after quitting is of greater concern to younger women.112 Concerns about weight when trying to quit is associated with higher body mass index, intention to quit, more previous quit attempts, and less support for quitting.113 Such concerns can also attenuate the effectiveness of tobacco control policies—including cigarette price increases, smokefree laws, or anti-tobacco messaging—on quit attempts.114

See Section 7.1.2 for further information on the effects of cessation on weight. See Chapter 3, Section 3.29 for information on the health effects of smoking in conjunction with and compared with the health effects of obesity. See Section 7.8.5 for information on strategies for managing concerns about weight gain.

7.7.1.9 Disturbances of mood

Negative affect is a core component of withdrawal, and an important predictor of craving,31,115 urge to smoke, and relapse.32,116,117 Compared to sustained quitters, those who relapse are more likely to report symptoms of emotional distress24 and negative mood.14 There is evidence that smoking may decrease happiness and stopping may increase it.118 Research also suggests that anhedonia (an affective dimension related to the inability to experience pleasure) is associated with poor smoking cessation outcomes.119 For those who have quit smoking, positive experiences—such as the capacity to enjoy life’s simple pleasures, ability to calm down when stressed or upset, and ability to control negative emotions—increase over time.12

Stress and negative affect

People who smoke frequently perceive smoking to be a way of managing stress. However, individual’s understanding of how smoking relates to stress can vary.120 Smoking is commonly perceived to promote relaxation, calmness or ease.3,120 It is sometimes used as a distraction from problems, or in an attempt to convey to others that the person is under stress.120

Negative affect is the tendency to experience more negative emotions, such as anger, sadness, nervousness, rejection, and guilt.121 Findings on the relationship between negative affect, stress and smoking have been mixed and suggest a complex association.122,123 People who smoke report more stress and negative affect relative to non-smokers.122,124-127 In Australia in 2022-23, people who smoke daily were twice as likely to have high/very high levels of psychological distress compared with people who had never smoked and were also twice as likely to have been diagnosed or treated for a mental health condition.128 It is possible that smoking itself, withdrawal symptoms, or a combination of the two create higher stress levels among people who smoke.122

Researchers have tried to determine whether nicotine genuinely improves mood or merely relieves withdrawal symptoms. The strongest evidence suggests that the interplay between stress, negative affect, and smoking can be explained by withdrawal escape (i.e., the relief of withdrawal symptoms).122 The daily mood changes of people who smoke show a normal pattern during smoking, but a worsening mood pattern between cigarettes.3,129 Withdrawal symptoms include irritability, anger, frustration, anxiety and depressive symptoms,38,130 which are generally experienced within two hours of last smoking,41,123,131 and are relieved by smoking. After repeated experiences of alleviating these withdrawal mood symptoms, negative affect may become a cue for smoking even when it occurs independently of nicotine withdrawal.122

Despite people commonly citing relief from negative affect as a motive for smoking, real-time studies have found little correlation between affect and smoking behaviour during regular smoking.40 However, during smoking cessation there appears a strong connection between stress, negative affect and lapses to smoking, particularly first lapses.12,40,122 This relationship may be partly explained by coping self-efficacy, with a study finding that people who perceived that their ability to cope with stress had worsened since quitting were more likely to relapse.132 Another study found that negative affect and concentration difficulty during early withdrawal, most notably anxiety, predicted poorer quit attempt outcomes.133 Conversely, people with a positive outlook are more likely to succeed in quitting and have less desire to smoke again.126 Further, lapses appear to mostly result in increases in negative affect, particularly guilt and discouragement and a decrease in self-efficacy.122,125 One study found that compared with people who relapsed, people who remained abstinent reported lower withdrawal symptoms, craving, and negative affect.134 Evidence also suggests that people with more financial stress are less likely to quit135 and more likely to relapse.136,137 Individuals who are high in personality traits such as hostility and anger also seem to experience greater negative affect and severe symptoms during quit attempts.138-140

Quitting generally results in lower stress and negative affect over time. Although people usually experience an increase in stress and negative affect in the weeks after they quit, these symptoms eventually diminish to levels lower than when they smoked.3,122,141

Depression

Smoking and depression often co-occur. Compared to non-smokers, people who smoke  report more depressive symptoms, more frequent and severe episodes of depression and higher rates of suicidal ideation and suicide.142

Having a history of depression, in itself, does not seem to substantially jeopardise successful quitting.143-145 However, depressive symptoms may increase the likelihood of relapse.146,147

See Section 9A.3.5.1 for further information on how best to encourage and support smoking cessation among those with depression.

Anxiety sensitivity

Studies have consistently shown that high anxiety sensitivity (i.e., fear of anxiety-related sensations) plays an important role in smoking maintenance and cessation failure. People who smoke with high anxiety sensitivity are more likely to perceive and experience smoking as effective in reducing negative affect148,149 and anxiety.150 Such people also perceive quitting as more difficult compared with those low in anxiety sensitivity,151 experience more intense withdrawal symptoms,152 and have greater odds of early smoking lapse153 and relapse.154 A 2014 experimental study found that anxiety sensitivity amplified the effects of acute abstinence on nicotine withdrawal symptoms and smoking urges, which may help explain the greater likelihood of relapse among people who score highly on this measure.155 See Section 9A.3 for further information.

7.7.1.10 Motivation

Many Australians who have quit smoking attribute their success to being ‘serious’ about quitting. Threats to personal identity or existential concerns, such as a desire to be a good parent or confronting potential consequences of smoking such as death, illness or disability, often contributed to becoming ‘serious’ about quitting.72 See Section 7.4 for further information on what motivates people to quit. Motivation to quit appears to predict quit attempts, but findings regarding its effect on sustained abstinence are inconsistent.8,156-158 A study using data from the ITC-4 survey found that motivation and plans to quit were positively associated with abstinence among younger people, though the inverse relationship was found among older people, among whom motivation and plans to quit were negatively associated with abstinence.22,159

7.7.1.11 Alcohol use

The evidence as to whether alcohol consumption affects relapse is mixed. A study of NRT cessation program participants found heavy, hazardous drinking was associated with lower odds of successful quitting. While, an ITC-4 study found that in the first year of abstinence, those who drank moderately or heavily had lower relapse risk compared to never or low-level drinkers. However, after a year of abstinence their risk of relapse was higher.160 See Section 9A.3.5.5 for more information on substance use disorders and cessation  

7.7.2 Environmental factors that predict success or failure in quit attempts

External factors that increase the difficulty of staying quit include environmental ‘cues’ to smoke. Cue reactivity, which refers to peoples’ heightened physiological and subjective reactions to smoking-related stimuli, is increasingly being studied in relation to cessation.161,162,163-165 The roles of cue reactivity, social factors, and tobacco advertising and promotion in promoting cravings and underminin

7.7.2.1 Social factors

A person’s environment plays an important role in his or her likelihood of achieving abstinence from smoking.166 Many Australians who quit smoking report that timing and circumstances, such as changes to social circles, workplaces or legislative changes, contributed to their success in quitting.72

People whose social contexts include a greater number of people who smoke may be exposed to more positive norms toward smoking and more cues to smoke,167 which can make quitting more difficult.30 The smell of other people’s smoke can cause a general urge to smoke, which relates to relapse.168 An ITC-4 study found that quitters whose closest friends smoked or who gained friends that smoked while quit were nearly 5 times more likely to relapse.169 Conversely, people who lose smoking friends over time are more likely to intend to quit, attempt to quit, and succeed in their quit attempts.167 While quitting is associated with less contact with people who smoke over time, overall it appears to widen a person’s social circle, rather than narrow it.170

People often report that receiving support from close others was an integral part of achieving successful cessation.171 Among a sample of women who smoke in the US, increased social support appeared to act as a buffer from the harmful effects of cessation-related withdrawal symptoms, which in turn improved cessation outcomes.172

The smoking status of a person’s partner can substantially influence smoking persistence and behaviour change,173,174 with partners of people who currently smoke being significantly less likely to quit and more likely to relapse than those with non-smoking partners.175-177 People who smoke tend to be less supportive than non-smokers of their partner’s quit attempt.178 Living in a smokefree home, where friends and family members do not smoke, also increases the likelihood of successful quitting.179

A person’s working environment can also affect their desire to quit or success in quitting. Working long hours can increase the chances that people will relapse, reduce the chances that people will quit, and increase cigarette consumption among people who regularly smoke, particularly for people who usually work very long hours (50 or more hours a week).180 Being unemployed, or having an unemployed partner, also predict greater odds of smoking.181 A Japanese study found that people who work remotely were more likely to be tobacco dependent.182 

People leaving smokefree-free institutions, such as prisons, hospital and inpatient mental health treatment facilities, are at an increased risk of smoking relapse, though interventions can reduce this risk.183 See Section 9A.5 People experiencing incarceration and 7.10 Role of health professionals and social services.

7.7.2.2 Cue reactivity

A robust body of research shows that people who smoke experience increases in self-reported craving, and moderate changes in autonomic reactivity (e.g., heart rate, skin conductance, blood pressure) when they are exposed to smoking-related stimuli, which is known as cue reactivity.184 Cues commonly include environmental stimuli such as cigarettes, matches, ashtrays, the smell of smoke, seeing another person smoking or alcohol, but can also include feelings such as stress or negative affect.185,186 One study found that people who smoke also have an attentional bias for smoking cues in movies, such as seeing actors smoke or showing an ashtray on screen.187 Point-of-purchase cigarette displays act as cues to smoke, even among those not explicitly intending to buy cigarettes and those trying to avoid smoking.188 People who smoke can also experience cravings in response to environments where cigarette cues are not present, but normally are (such as in convenience stores, even when no smoking-related stimuli is visible).189 Cue-induced cravings in turn predict smoking behaviours, such as lapses in quit attempts, shorter latency to smoke, as well as increased number of puffs and puff volume.190,191 This reactivity occurs similarly among men and women,192 and among intermittent, daily,193 and nondependent people who smoke.194

Environmental cues, such as embarrassment, cost of cigarettes, and messages in the media, can prompt quit attempts.195 People who formerly smoked often intentionally avoid smoking cues, which can help them maintain abstinence.196 There are a number of promising cessation interventions that are informed by cue reactivity research, such as training people who smoke to preferentially attend to non-smoking related cues,197 and using behavioural techniques to extinguish the learned responses between smoking-related stimuli and cravings.198

7.7.2.3 Tobacco marketing

Exposure to tobacco advertising can reduce motivation to quit among people who smoke and increase likelihood of relapse among people who formerly smoked. (See Chapter 11, Section 11.1.) For example, displays of tobacco products at the point-of-sale (now banned in Australia) can create temptation and lead to impulse purchases, increase a person’s chances of relapse,199-202 and make quitting more difficult.200 (See Chapter 11, Section 11.9). AnITC-4 study shows that implementing POS tobacco display bans does result in lower exposure to tobacco marketing and less frequent impulse purchasing of cigarettes.203

7.7.3 The impact of the COVID-19 pandemic on smoking behaviours

The global pandemic of coronavirus disease 2019 (COVID-19) created unprecedented social and economic disruption globally, as lockdowns, isolation, social distancing measures and closures of schools, workplaces and other venues were imposed to stop the spread of COVID-19.204 Evidence suggests that the COVID-19 pandemic had mixed effects on smoking behaviour, with meta-analyses and reviews finding evidence of increased smoking, decreased smoking, and increased intention and attempts to quit.205-208 The COVID-19 pandemic led to an increase in mental health conditions, particularly depression and anxiety, as well as greater stress, frustration and loneliness,209,210 which are known to share a strong relationship with smoking (see Section 9A.3). Studies indicated that these psychological impacts and COVID-19 pandemic-specific stress and anxiety were associated with increased smoking.211-214 Note that many studies from this period are at a high risk of bias due to the use of non-representative samples, non-response bias and use of non-validated questions due to the restrictions of the pandemic, therefore findings should be interpreted with caution.207 Section 3.9.12 details the research on the relationship between smoking and COVID-19 risk.

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References

1. Ockene JK, Emmons KM, Mermelstein RJ, Perkins KA, Bonollo DS, et al. Relapse and maintenance issues for smoking cessation. Health Psychology, 2000; 19(1S):17-31. Available from: https://www.ncbi.nlm.nih.gov/pubmed/10709945

2. Abrams D, Niaura R, and Brown R, The tobacco dependence treatment handbook. A Guide to best practices. New York: Guilford; 2003. Available from: http://www.books-by-isbn.com/1-57230/1572308494-The-Tobacco-Dependence-Treatment-Handbook-A-Guide-to-Best-Practices-1-57230-849-4.html.

3. Royal College of Physicians of London. Nicotine addiction in Britain. A report of the Tobacco Advisory Group of the Royal College of Physicians. London: Royal College of Physicians of London, 2000. Available from: https://shop.rcplondon.ac.uk/products/nicotine-addiction-in-britain?variant=6633984645

4. Trotter L, Mullins R, Boulter J, and Borland R. Key findings of the 1996 and 1997 household surveys, in Quit Evaluation Studies 9. The Anti-Cancer Council of Victoria; 1998. p 1–26.

5. Filozof C, Fernandez Pinilla MC, and Fernandez-Cruz A. Smoking cessation and weight gain. Obesity Reviews, 2004; 5(2):95-103. Available from: https://www.ncbi.nlm.nih.gov/pubmed/15086863

6. Hyland A, Borland R, Li Q, Yong HH, McNeill A, et al. Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey. Tobacco Control, 2006; 15 Suppl 3(Suppl 3):iii83-94. Available from: https://www.ncbi.nlm.nih.gov/pubmed/16754952

7. Vangeli E, Stapleton J, Smit E, Borland R, and West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review. Addiction, 2011; 106(12):2110–21. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21752135

8. Zhou X, Nonnemaker J, Sherrill B, Gilsenan AW, Coste F, et al. Attempts to quit smoking and relapse: factors associated with success or failure from the ATTEMPT cohort study. Addictive Behaviors, 2009; 34(4):365-73. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19097706

9. Partos TR, Borland R, Yong H-H, Hyland A, and Cummings KM. The Quitting Rollercoaster: How Recent Quitting History Affects Future Cessation Outcomes (Data From the International Tobacco Control 4-Country Cohort Study). Nicotine & Tobacco Research, 2013; 15(9):1578–87. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23493370

10. Baldwin AS, Rothman AJ, Hertel AW, Keenan NK, and Jeffery RW. Longitudinal associations between people's cessation-related experiences and their satisfaction with cessation. Psychol Health, 2009; 24(2):187-201. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20186651

11. Herd N and Borland R. The natural history of quitting smoking: findings from the International Tobacco Control (ITC) Four Country Survey. Addiction, 2009; 104(12):2075-87. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19922573

12. Yong HH, Borland R, Cooper J, and Cummings KM. Postquitting experiences and expectations of adult smokers and their association with subsequent relapse: findings from the International Tobacco Control (ITC) Four Country Survey. Nicotine and Tobacco Research, 2010; 12 Suppl(Suppl 1):S12-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20889476

13. Herd N, Borland R, and Hyland A. Predictors of smoking relapse by duration of abstinence: findings from the International Tobacco Control (ITC) Four Country Survey. Addiction, 2009; 104(12):2088-99. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19922574

14. Cofta-Woerpel L, McClure JB, Li Y, Urbauer D, Cinciripini PM, et al. Early cessation success or failure among women attempting to quit smoking: trajectories and volatility of urge and negative mood during the first postcessation week. Journal of Abnormal Psychology, 2011; 120(3):596-606. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21574667

15. Hyland A, Li Q, Bauer JE, Giovino GA, Steger C, et al. Predictors of cessation in a cohort of current and former smokers followed over 13 years. Nicotine and Tobacco Research, 2004; 6 Suppl 3(Suppl 3):S363-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/15799599

16. Armstrong BK, de Klerk NH, Shean RE, Dunn DA, and Dolin PJ. Influence of education and advertising on the uptake of smoking by children. Medical Journal of Australia, 1990; 152(3):117-24. Available from: https://www.ncbi.nlm.nih.gov/pubmed/2405239

17. Hellman R, Cummings K, Haughey B, Zielezny M, and O'Shea R. Predictors of attempting and succeeding at smoking cessation. Health Education Research, 1991; 6(1):77–86. Available from: http://her.oxfordjournals.org/cgi/reprint/6/1/77

18. Breslau N and Peterson E. Smoking cessation in young adults: age at initiation of cigarette smoking and other suspected influences. American Journal of Public Health, 1996; 86(2):214–20. Available from: http://www.ajph.org/cgi/reprint/86/2/214

19. Chen J and Millar WJ. Age of smoking initiation: implications for quitting. Health Reports, 1998; 9(4):39-46(Eng); 39-48(Fre). Available from: https://www.ncbi.nlm.nih.gov/pubmed/9836879

20. Khuder SA, Dayal HH, and Mutgi AB. Age at smoking onset and its effect on smoking cessation. Addictive Behaviors, 1999; 24(5):673–7. Available from: http://www.sciencedirect.com/science/article/pii/S0306460398001130

21. Walker JF and Loprinzi PD. Longitudinal examination of predictors of smoking cessation in a national sample of U.S. adolescent and young adult smokers. Nicotine and Tobacco Research, 2014; 16(6):820-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24520129

22. Arancini L, Borland R, Le Grande M, Mohebbi M, Dodd S, et al. Age as a predictor of quit attempts and quit success in smoking cessation: findings from the International Tobacco Control Four-Country survey (2002-14). Addiction, 2021; 116(9):2509-20. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33651412

23. Yong HH, Borland R, and Siahpush M. Quitting-related beliefs, intentions, and motivations of older smokers in four countries: findings from the International Tobacco Control Policy Evaluation Survey. Addictive Behaviors, 2005; 30(4):777-88. Available from: https://www.ncbi.nlm.nih.gov/pubmed/15833581

24. Augustson EM, Wanke KL, Rogers S, Bergen AW, Chatterjee N, et al. Predictors of sustained smoking cessation: a prospective analysis of chronic smokers from the alpha-tocopherol Beta-carotene cancer prevention study. American Journal of Public Health, 2008; 98(3):549-55. Available from: https://www.ncbi.nlm.nih.gov/pubmed/17600267

25. Van Zundert R, Nijhof L, and Engels R. Testing Social Cognitive Theory as a theoretical framework to predict smoking relapse among daily smoking adolescents. Addictive Behaviors, 2009; 34(3):281–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19059732

26. Cox LS, Wick JA, Nazir N, Cupertino AP, Mussulman LM, et al. Predictors of early versus late smoking abstinence within a 24-month disease management program. Nicotine and Tobacco Research, 2011; 13(3):215-20. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21233256

27. Japuntich SJ, Leventhal AM, Piper ME, Bolt DM, Roberts LJ, et al. Smoker characteristics and smoking-cessation milestones. American Journal of Preventive Medicine, 2011; 40(3):286-94. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21335259

28. Yong HH, Borland R, Balmford J, Hyland A, O'Connor RJ, et al. Heaviness of smoking predicts smoking relapse only in the first weeks of a quit attempt: findings from the International Tobacco Control Four-Country Survey. Nicotine and Tobacco Research, 2014; 16(4):423-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24158228

29. Piasecki TM, Jorenby DE, Smith SS, Fiore MC, and Baker TB. Smoking withdrawal dynamics: III. Correlates of withdrawal heterogeneity. Experimental and Clinical Psychopharmacology, 2003; 11(4):276-85. Available from: https://www.ncbi.nlm.nih.gov/pubmed/14599261

30. Siahpush M, Borland R, and Scollo M. Factors associated with smoking cessation in a national sample of Australians. Nicotine and Tobacco Research, 2003; 5(4):597-602. Available from: https://www.ncbi.nlm.nih.gov/pubmed/12959798

31. Robinson JD, Lam CY, Carter BL, Minnix JA, Cui Y, et al. A multimodal approach to assessing the impact of nicotine dependence, nicotine abstinence, and craving on negative affect in smokers. Experimental and Clinical Psychopharmacology, 2011; 19(1):40-52. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21341922

32. Piper ME, Schlam TR, Cook JW, Sheffer MA, Smith SS, et al. Tobacco withdrawal components and their relations with cessation success. Psychopharmacology, 2011; 216(4):569-78. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21416234

33. Riemerth A, Kunze U, and Groman E. Nocturnal sleep-disturbing nicotine craving and accomplishment with a smoking cessation program. Wiener Medizinische Wochenschrift, 2009; 159(1-2):47-52. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19225735

34. Peters EN, Fucito LM, Novosad C, Toll BA, and O'Malley SS. Effect of night smoking, sleep disturbance, and their co-occurrence on smoking outcomes. Psychology of Addictive Behaviors, 2011; 25(2):312-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21443301

35. Le Grande M, Borland R, Yong HH, McNeill A, Fong G, et al. Age-Related Interactions on Key Theoretical Determinants of Smoking Cessation: Findings from the ITC Four Country Smoking and Vaping Surveys (2016-2020). Nicotine and Tobacco Research, 2022; 24(5):679-89. Available from: https://www.ncbi.nlm.nih.gov/pubmed/34755869

36. Zhu S-H, Differential cessation rates across populations: what explains it and how to reduce it. Smokefree Oceania. Tobacco Control Conference. From vision to reality. September, Handbook  4-7 Auckland, New Zealand 2007.

37. Li L, Borland R, Cummings KM, Hyland A, Le Grande M, et al. Non-cigarette combustible tobacco use and its associations with subsequent cessation of smoking among daily cigarette smokers: findings from the International Tobacco Control Four Country Smoking and Vaping Surveys (2016-20). Addiction, 2023; 118(1):140-8. Available from: https://www.ncbi.nlm.nih.gov/pubmed/35938219

38. Hughes JR. Effects of abstinence from tobacco: valid symptoms and time course. Nicotine and Tobacco Research, 2007; 9(3):315-27. Available from: https://www.ncbi.nlm.nih.gov/pubmed/17365764

39. Perkins KA, Briski J, Fonte C, Scott J, and Lerman C. Severity of tobacco abstinence symptoms varies by time of day. Nicotine and Tobacco Research, 2009; 11(1):84-91. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19246445

40. Piasecki TM. Relapse to smoking. Clinical Psychology Review, 2006; 26(2):196-215. Available from: https://www.ncbi.nlm.nih.gov/pubmed/16352382

41. McCarthy D, Piasecki T, Fiore M, and Baker T. Life before and after quitting smoking: an electronic diary study. Journal of Abnormal Psychology, 2006; 115(3):454–66. Available from: http://psycnet.apa.org/index.cfm?fa=main.landing

42. Piasecki TM, Jorenby DE, Smith SS, Fiore MC, and Baker TB. Smoking withdrawal dynamics: II. Improved tests of withdrawal-relapse relations. Journal of Abnormal Psychology, 2003; 112(1):14-27. Available from: https://www.ncbi.nlm.nih.gov/pubmed/12653410

43. Javitz HS, Swan GE, and Lerman C. The dynamics of the urge-to-smoke following smoking cessation via pharmacotherapy. Addiction, 2011; 106(10):1835-45. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21561501

44. Aguirre CG, Madrid J, and Leventhal AM. Tobacco withdrawal symptoms mediate motivation to reinstate smoking during abstinence. Journal of Abnormal Psychology, 2015; 124(3):623-34. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25961814

45. Doherty K, Kinnunen T, Militello FS, and Garvey AJ. Urges to smoke during the first month of abstinence: relationship to relapse and predictors. Psychopharmacology, 1995; 119(2):171-8. Available from: https://www.ncbi.nlm.nih.gov/pubmed/7659764

46. US Department of Health and Human Services. Reducing tobacco use: a report of the Surgeon General. Atlanta, Georgia: US Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2000. Available from: http://www.cdc.gov/tobacco/data_statistics/sgr/2000/complete_report/index.htm

47. International Agency for Research on Cancer. Reversal of risk after quitting smoking. IARC handbooks of cancer prevention, Tobacco Control, 11 Lyon, France: IARC, 2007. Available from: https://publications.iarc.fr/Book-And-Report-Series/Iarc-Handbooks-Of-Cancer-Prevention/Tobacco-Control-Reversal-Of-Risk-After-Quitting-Smoking-2007

48. US Department of Health and Human Services. The Health Consequences of Smoking: Nicotine Addiction. A report of the Surgeon General. Rockville, Maryland: US Department of Health and Human Services, Public Health Service, Centers for Disease Control, Center for Health Promotion and Education, Office on Smoking and Health, 1988. Available from: https://stacks.cdc.gov/view/cdc/22014/cdc_22014_DS1.pdf

49. Uhl GR, Drgon T, Johnson C, Walther D, David SP, et al. Genome-wide association for smoking cessation success: participants in the Patch in Practice trial of nicotine replacement. Pharmacogenomics, 2010; 11(3):357-67. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20235792

50. Chen LS and Bierut LJ. Genomics and personalized medicine: CHRNA5-CHRNA3-CHRNB4 and smoking cessation treatment. J Food Drug Anal, 2013; 21(4):S87-S90. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25214750

51. Minica CC, Mbarek H, Pool R, Dolan CV, Boomsma DI, et al. Pathways to smoking behaviours: biological insights from the Tobacco and Genetics Consortium meta-analysis. Molecular Psychiatry, 2017; 22(1):82-8. Available from: https://www.ncbi.nlm.nih.gov/pubmed/27021816

52. Liu JZ, Tozzi F, Waterworth DM, Pillai SG, Muglia P, et al. Meta-analysis and imputation refines the association of 15q25 with smoking quantity. Nature Genetics, 2010; 42(5):436-40. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20418889

53. Saccone NL, Culverhouse RC, Schwantes-An T-H, Cannon DS, Chen X, et al. Multiple independent loci at chromosome 15q25. 1 affect smoking quantity: a meta-analysis and comparison with lung cancer and COPD. PLoS Genetics, 2010; 6(8):e1001053. Available from: http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1001053

54. Tobacco and Genetics C. Genome-wide meta-analyses identify multiple loci associated with smoking behavior. Nature Genetics, 2010; 42(5):441-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20418890

55. Thorgeirsson TE, Gudbjartsson DF, Surakka I, Vink JM, Amin N, et al. Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior. Nature Genetics, 2010; 42(5):448-53. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20418888

56. Zhao H, Xiong S, Li Z, Wu X, and Li L. Meta-analytic method reveal a significant association of theBDNF Val66Met variant with smoking persistence based on a large samples. Pharmacogenomics Journal, 2020; 20(3):398-407. Available from: https://www.ncbi.nlm.nih.gov/pubmed/31787753

57. Jones SK, Wolf BJ, Froeliger B, Wallace K, Carpenter MJ, et al. A systematic review of genetic variation within nicotinic acetylcholine receptor genes and cigarette smoking cessation. Drug and Alcohol Dependence, 2022; 239:109596. Available from: https://www.ncbi.nlm.nih.gov/pubmed/35981468

58. No authors listed. The science of tobacco addiction and cessation. Cancer Discov, 2014; 4(1):12-3. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24402931

59. Xian H, Scherrer JF, Madden PA, Lyons MJ, Tsuang M, et al. The heritability of failed smoking cessation and nicotine withdrawal in twins who smoked and attempted to quit. Nicotine and Tobacco Research, 2003; 5(2):245-54. Available from: https://www.ncbi.nlm.nih.gov/pubmed/12745498

60. Jones SK, Wolf BJ, Froeliger B, Wallace K, Carpenter MJ, et al. Nicotine Metabolism Predicted by CYP2A6 Genotypes in Relation to Smoking Cessation: A Systematic Review. Nicotine and Tobacco Research, 2022; 24(5):633-42. Available from: https://www.ncbi.nlm.nih.gov/pubmed/34478556

61. Chen LS, Bloom AJ, Baker TB, Smith SS, Piper ME, et al. Pharmacotherapy effects on smoking cessation vary with nicotine metabolism gene (CYP2A6). Addiction, 2014; 109(1):128-37. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24033696

62. Xie Y, Gao Y, Zhou X, Ji T, Liu Z, et al. Role of nicotine metabolite ratio in pharmacological interventions on smoking cessation: a systematic review and meta-analyses of randomized controlled trials. Drug and Alcohol Dependence, 2026:113294. Available from: https://www.sciencedirect.com/science/article/pii/S0376871626002759

63. Lerman C, Schnoll RA, Hawk LW, Jr., Cinciripini P, George TP, et al. Use of the nicotine metabolite ratio as a genetically informed biomarker of response to nicotine patch or varenicline for smoking cessation: a randomised, double-blind placebo-controlled trial. Lancet Respir Med, 2015; 3(2):131-8. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25588294

64. Chen LS, Baker TB, Piper ME, Breslau N, Cannon DS, et al. Interplay of genetic risk factors (CHRNA5-CHRNA3-CHRNB4) and cessation treatments in smoking cessation success. American Journal of Psychiatry, 2012; 169(7):735-42. Available from: https://www.ncbi.nlm.nih.gov/pubmed/22648373

65. Wright AJ, Aveyard P, Guo B, Murphy M, and Brown K. Is attributing smoking to genetic causes associated with a reduced probability of quit attempt success? A cohort study. Addiction, 2007; 102(10):1657–64. Available from: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1360-0443.2007.01937.x

66. Etter JF and Sutton S. Assessing 'stage of change' in current and former smokers. Addiction, 2002; 97(9):1171-82. Available from: https://www.ncbi.nlm.nih.gov/pubmed/12199833

67. Abrams DB, Herzog TA, Emmons KM, and Linnan L. Stages of change versus addiction: a replication and extension. Nicotine and Tobacco Research, 2000; 2(3):223-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/11082822

68. Farkas AJ, Pierce JP, Zhu SH, Rosbrook B, Gilpin EA, et al. Addiction versus stages of change models in predicting smoking cessation. Addiction, 1996; 91(9):1271-80; discussion 81-92. Available from: https://www.ncbi.nlm.nih.gov/pubmed/8854358

69. Cea CM, Yong HH, Borland R, Sheffer CE, Nottage MK, et al. Does Self-Reported smoking cessation fatigue predict making quit attempts and sustained abstinence among adults who smoke Regularly? Addictive Behaviors, 2025; 160:108171. Available from: https://www.ncbi.nlm.nih.gov/pubmed/39321719

70. Yong H, Borland R, Hyland A, and Siahpush M. How does a failed quit attempt among regular smokers affect their cigarette consumption? Findings from the International Tobacco Control Four-Country Survey (ITC-4). Nicotine and Tobacco Research, 2008; 10(5):897–905. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469947/

71. Begh R, Lindson-Hawley N, and Aveyard P. Does reduced smoking if you can't stop make any difference? BMC Medicine, 2015; 13:257. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26456865

72. Smith AL. Being serious about quitting: a qualitative analysis of Australian ex-smokers' explanations of their quitting success. Int J Drug Policy, 2020; 86:102942. Available from: https://www.ncbi.nlm.nih.gov/pubmed/32992119

73. Walker M, Burnham D, and Borland R, Psychology. Brisbane, QLD: John Wiley & Sons; 1994.

74. Bandura A. Self-efficacy in health functioning, in Cambridge handbook of psychology, health and medicine.  2nd edition.  Ayers S, et al., Editors. Cambridge UK: Cambridge University Press; 2007.

75. Dijkstra A and DeVries H. Self-efficacy expectations with regard to different tasks in smoking cessation. Psychology and Health, 2000; 15(4):501–11. Available from: http://www.tandfonline.com/doi/abs/10.1080/08870440008402009

76. Borland R and Balmford J. Perspectives on relapse prevention: an exploratory study. Psychology & Health, 2005; 20(5):661–71. Available from: http://www.informaworld.com/smpp/content~content=a723893197~db=all

77. Stuart K, Borland R, and McMurray N. Self-efficacy, health locus of control, and smoking cessation. Addictive Behaviors, 1994; 19(1):1-12. Available from: https://www.ncbi.nlm.nih.gov/pubmed/8197887

78. Betts JM, Klemperer EM, Baker TB, Loh WY, Coleman SRM, et al. Treating those not ready to quit smoking: Doing harm while trying to help? Addictive Behaviors, 2026; 176:108632. Available from: https://www.ncbi.nlm.nih.gov/pubmed/41650518

79. Gwaltney CJ, Liu KS, Gnys M, Hickcox M, and Paton SM. Dynamic effects of self-efficacy on smoking lapse and relapse. Health Psychology, 2000; 19(4):315–23. Available from: http://www.ncbi.nlm.nih.gov/pubmed/10907649

80. Perkins KA, Parzynski C, Mercincavage M, Conklin CA, and Fonte CA. Is self-efficacy for smoking abstinence a cause of, or a reflection on, smoking behavior change? Experimental and Clinical Psychopharmacology, 2012; 20(1):56-62. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21910550

81. Kirchner TR, Shiffman S, and Wileyto EP. Relapse dynamics during smoking cessation: recurrent abstinence violation effects and lapse-relapse progression. Journal of Abnormal Psychology, 2012; 121(1):187-97. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21787035

82. Siahpush M, McNeill A, Borland R, and Fong GT. Socioeconomic variations in nicotine dependence, self-efficacy, and intention to quit across four countries: findings from the International Tobacco Control (ITC) Four Country Survey. Tobacco Control, 2006; 15(Suppl 3):iii71–5. Available from: http://tc.bmjjournals.com/cgi/content/abstract/15/suppl_3/iii71

83. Zale EL, Ditre JW, Dorfman ML, Heckman BW, and Brandon TH. Smokers in pain report lower confidence and greater difficulty quitting. Nicotine and Tobacco Research, 2014; 16(9):1272-6. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24827790

84. Gwaltney CJ, Metrik J, Kahler CW, and Shiffman S. Self-efficacy and smoking cessation: a meta-analysis. Psychology of Addictive Behaviors, 2009; 23(1):56-66. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19290690

85. Segan CJ, Borland R, and Greenwood KM. Do transtheoretical model measures predict the transition from preparation to action in smoking cessation? Psychology and Health 2002; 17(4):417–35. Available from: http://www.tandfonline.com/doi/abs/10.1080/0887044022000004911

86. Segan CJ, Do Transtheoretical Model measures predict stage transitions for smoking cessation? Studies of callers to a quitline. PhD thesis. Department of Psychological Science, La Trobe University Melbourne 2003.

87. Segan S and Borland R, 'It’s all in the head': working with the mind in smoking cessation. Keynote presentation New Zealand Smokefree Conference, 9-10 September. Auckland 2002.

88. Castro Y, Cano MA, Businelle MS, Correa-Fernandez V, Heppner WL, et al. A cross-lagged path analysis of five intrapersonal determinants of smoking cessation. Drug and Alcohol Dependence, 2014; 137:98-105. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24529688

89. Lee HS, Catley D, and Harris KJ. Improving understanding of the quitting process: psychological predictors of quit attempts versus smoking cessation maintenance among college students. Substance Use and Misuse, 2014; 49(10):1332-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24758706

90. Li S, Fang L, Zhou Y, Pan L, Yang X, et al. Mediation of smoking abstinence self-efficacy on the association of nicotine dependence with smoking cessation. European Journal of Public Health, 2015; 25(2):200-4. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25395394

91. Smit ES, Hoving C, Schelleman-Offermans K, West R, and de Vries H. Predictors of successful and unsuccessful quit attempts among smokers motivated to quit. Addictive Behaviors, 2014; 39(9):1318-24. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24837754

92. Hall PA, Fong GT, and Meng G. Time perspective as a determinant of smoking cessation in four countries: Direct and mediated effects from the International Tobacco Control (ITC) 4-Country Surveys. Addictive Behaviors, 2014; 39(7):1183-90. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24747807

93. VandenBos GR, APA Dictionary of Psychology. American Psychological Association; 2007.

94. Kahler CW, Spillane NS, Metrik J, Leventhal AM, and Monti PM. Sensation seeking as a predictor of treatment compliance and smoking cessation treatment outcomes in heavy social drinkers. Pharmacology, Biochemistry and Behavior, 2009; 93(3):285-90. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19593843

95. Brook JS, Zhang C, Balka EB, Seltzer N, and Brook DW. Personality characteristics in the mid-forties predict women's smoking cessation in their mid-sixties. Psychological Reports, 2013; 113(3):921-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24693821

96. Lopez-Torrecillas F, Perales JC, Nieto-Ruiz A, and Verdejo-Garcia A. Temperament and impulsivity predictors of smoking cessation outcomes. PLoS ONE, 2014; 9(12):e112440. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25474540

97. Lipkus IM, Barefoot JC, Williams RB, and Siegler IC. Personality measures as predictors of smoking initiation and cessation in the UNC Alumni Heart Study. Health Psychology, 1994; 13(2):149. Available from: http://www.ncbi.nlm.nih.gov/pubmed/8020458

98. Syan SK, Gonzalez-Roz A, Amlung M, Sweet LH, and MacKillop J. Delayed Reward Discounting as a Prognostic Factor for Smoking Cessation Treatment Outcome: A Systematic Review. Nicotine and Tobacco Research, 2021; 23(10):1636-45. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33772298

99. Borland R, Le Grande M, Heckman BW, Fong GT, Bickel WK, et al. The Predictive Utility of Valuing the Future for Smoking Cessation: Findings from the ITC 4 Country Surveys. International Journal of Environmental Research and Public Health, 2022; 19(2). Available from: https://www.ncbi.nlm.nih.gov/pubmed/35055452

100. Viola NM, Lundine JP, Kirihara S, and Nemeth J. The role of executive functioning in smoking cessation: A scoping review. Drug and Alcohol Review, 2025; 44(2):626-39. Available from: https://www.ncbi.nlm.nih.gov/pubmed/39689911

101. Hall PA, Fong GT, Yong HH, Sansone G, Borland R, et al. Do time perspective and sensation-seeking predict quitting activity among smokers? Findings from the International Tobacco Control (ITC) Four Country Survey. Addictive Behaviors, 2012; 37(12):1307-13. Available from: https://www.ncbi.nlm.nih.gov/pubmed/22958863

102. Pomerleau CS and Saules K. Body image, body satisfaction, and eating patterns in normal-weight and overweight/obese women current smokers and never-smokers. Addictive Behaviors, 2007; 32(10):2329-34. Available from: https://www.ncbi.nlm.nih.gov/pubmed/17320305

103. Pomerleau CS, Zucker AN, and Stewart AJ. Characterizing concerns about post-cessation weight gain: results from a national survey of women smokers. Nicotine and Tobacco Research, 2001; 3(1):51-60. Available from: https://www.ncbi.nlm.nih.gov/pubmed/11260811

104. Brouwer RJ and Pomerleau CS. "Prequit attrition" among weight-concerned women smokers. Eating Behaviors, 2000; 1(2):145-51. Available from: https://www.ncbi.nlm.nih.gov/pubmed/15001057

105. Copeland AL, Martin PD, Geiselman PJ, Rash CJ, and Kendzor DE. Predictors of pretreatment attrition from smoking cessation among pre- and postmenopausal, weight-concerned women. Eating Behaviors, 2006; 7(3):243-51. Available from: https://www.ncbi.nlm.nih.gov/pubmed/16843227

106. Alberg AJ, Carter CL, and Carpenter MJ. Weight gain as an impediment to cigarette smoking cessation: a lingering problem in need of solutions. Preventive Medicine, 2007; 44(4):296-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/17316778

107. White MA, McKee SA, and O'Malley S S. Smoke and mirrors: magnified beliefs that cigarette smoking suppresses weight. Addictive Behaviors, 2007; 32(10):2200-10. Available from: https://www.ncbi.nlm.nih.gov/pubmed/17428615

108. Fiore M, Bailey W, Cohen S, and Dorfman S. Smoking cessation clinical practice guideline no. 18. Agency for Health Care Policy and Research, US Department of Health and Human Services, Public Health Service, 1996.

109. Fiore M, Bailey W, and Cohen S, et al. Treating tobacco use and dependence. Clinical practice guideline. Rockville MD: US Department of Health and Human Services. Public Health Service., 2000. Available from: https://pubmed.ncbi.nlm.nih.gov/11054899/

110. Farley AC, Hajek P, Lycett D, and Aveyard P. Interventions for preventing weight gain after smoking cessation. Cochrane Database of Systematic Reviews, 2012. Available from: http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006219.pub3/abstract

111. Adams CE, Baillie LE, and Copeland AL. The Smoking-Related Weight and Eating Episodes Test (SWEET): development and preliminary validation. Nicotine and Tobacco Research, 2011; 13(11):1123-31. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21849410

112. Grogan S, Fry G, Gough B, and Conner M. Smoking to stay thin or giving up to save face? Young men and women talk about appearance concerns and smoking. British Journal of Health Psychology, 2008; 14(1):175–86. Available from: http://onlinelibrary.wiley.com/doi/10.1348/135910708X327617/abstract

113. Collins BN, Nair U, Hovell MF, and Audrain-McGovern J. Smoking-related weight concerns among underserved, black maternal smokers. American Journal of Health Behavior, 2009; 33(6):699-709. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19320618

114. Shang C, Chaloupka FJ, Fong GT, Thompson M, Siahpush M, et al. Weight control belief and its impact on the effectiveness of tobacco control policies on quit attempts: findings from the ITC 4 Country Survey. Tobacco Control, 2015; 24 Suppl 3(0 3):iii41-iii7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25646173

115. Vinci C, Copeland AL, and Carrigan MH. Exposure to negative affect cues and urge to smoke. Experimental and Clinical Psychopharmacology, 2012; 20(1):47-55. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21875222

116. Lopez Khoury EN, Litvin EB, and Brandon TH. The effect of body image threat on smoking motivation among college women: mediation by negative affect. Psychology of Addictive Behaviors, 2009; 23(2):279-86. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19586144

117. Leventhal AM. Do individual differences in reinforcement smoking moderate the relationship between affect and urge to smoke? Behavioral Medicine, 2010; 36(1):1-6. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20185395

118. Shahab L and West R. Differences in happiness between smokers, ex-smokers and never smokers: cross-sectional findings from a national household survey. Drug and Alcohol Dependence, 2012; 121(1-2):38-44. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21906891

119. Leventhal AM, Waters AJ, Kahler CW, Ray LA, and Sussman S. Relations between anhedonia and smoking motivation. Nicotine and Tobacco Research, 2009; 11(9):1047-54. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19571250

120. Carter S, Borland R, and Chapman C. Finding the Strength to Kill Your Best Friend–Smokers talk about smoking and quitting. Sydney: Australian Smoking Cessation Consortium and GlaxoSmithKline Consumer Healthcare, 2001. Available from: http://tobacco.health.usyd.edu.au/site/supersite/resources/pdfs/killbestfriend.pdf

121. Watson D and Clark LA. Negative affectivity: the disposition to experience aversive emotional states. Psychological Bulletin, 1984; 96(3):465-90. Available from: https://www.ncbi.nlm.nih.gov/pubmed/6393179

122. Kassel JD, Stroud LR, and Paronis CA. Smoking, stress, and negative affect: correlation, causation, and context across stages of smoking. Psychological Bulletin, 2003; 129(2):270-304. Available from: https://www.ncbi.nlm.nih.gov/pubmed/12696841

123. Kalman D. The subjective effects of nicotine: methodological issues, a review of experimental studies, and recommendations for further research. Nicotine and Tobacco Research, 2002; 4(1):25–70. Available from: http://www.ncbi.nlm.nih.gov/pubmed/11906682

124. Kassel JD and Unrod M. Smoking, anxiety, and attention: support for the role of nicotine in attentionally mediated anxiolysis. Journal of Abnormal Psychology, 2000; 109(1):161-6. Available from: https://www.ncbi.nlm.nih.gov/pubmed/10740949

125. van der Deen FS, Carter KN, Wilson N, and Collings S. The association between failed quit attempts and increased levels of psychological distress in smokers in a large New Zealand cohort. BMC Public Health, 2011; 11(1):598. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21798059

126. Grassi MC, Alessandri G, Pasquariello S, Milioni M, Enea D, et al. Association between positivity and smoking cessation. Biomed Res Int, 2014; 2014:780146. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24967403

127. Akbari M, Hasani J, and Seydavi M. Negative affect among daily smokers: A systematic review and meta-analysis. Journal of Affective Disorders, 2020; 274:553-67. Available from: https://www.ncbi.nlm.nih.gov/pubmed/32663988

128. Australian Institute of Health and Welfare. National Drug Strategy Household Survey 2022–2023. Canberra: AIHW, 2024. Available from: https://www.aihw.gov.au/reports/illicit-use-of-drugs/national-drug-strategy-household-survey

129. Parrott AC. Stress modulation over the day in cigarette smokers. Addiction, 1995; 90(2):233-44. Available from: https://www.ncbi.nlm.nih.gov/pubmed/7703817

130. Patterson F, Kerrin K, Wileyto EP, and Lerman C. Increase in anger symptoms after smoking cessation predicts relapse. Drug and Alcohol Dependence, 2008; 95(1-2):173-6. Available from: https://www.ncbi.nlm.nih.gov/pubmed/18328642

131. US Department of Health and Human Services. The health benefits of smoking cessation. A report of the Surgeon General. Atlanta, GA: Centers for Disease Control, Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 1990. Available from: https://stacks.cdc.gov/view/cdc/84624

132. Gorniak B, Yong HH, Borland R, Cummings KM, Thrasher JF, et al. Do post-quitting experiences predict smoking relapse among former smokers in Australia and the United Kingdom? Findings from the International Tobacco Control Surveys. Drug and Alcohol Review, 2022; 41(4):883-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/34882878

133. Hendricks PS, Delucchi KL, Benowitz NL, and Hall SM. Clinical significance of early smoking withdrawal effects and their relationships with nicotine metabolism: preliminary results from a pilot study. Nicotine and Tobacco Research, 2014; 16(5):615-20. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24353342

134. Nakajima M and al'Absi M. Patterns of change in affect and adrenocortical activity over an extended period of smoking abstinence. Psychology of Addictive Behaviors, 2013; 27(4):1189-95. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24128290

135. Reitzel LR, Langdon KJ, Nguyen NT, and Zvolensky MJ. Financial strain and smoking cessation among men and women within a self-guided quit attempt. Addictive Behaviors, 2015; 47:66-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25879712

136. Siahpush M and Carlin JB. Financial stress, smoking cessation and relapse: results from a prospective study of an Australian national sample. Addiction, 2006; 101(1):121-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/16393198

137. Siahpush M, Yong H, Borland R, Reid J, and Hammond D. Smokers with financial stress are more likely to want to quit but less likely to try or succeed: findings from the International Tobacco Control (ITC) Four Country Survey. Addiction, 2009; 104(8):1382–90. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1360-0443.2009.02599.x/full

138. Quinn A, Sekimura S, Pang R, Trujillo M, Kahler CW, et al. Hostility as a predictor of affective changes during acute tobacco withdrawal. Nicotine and Tobacco Research, 2014; 16(3):335-42. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24113928

139. Cougle JR, Hawkins KA, Macatee RJ, Zvolensky MJ, and Sarawgi S. Multiple facets of problematic anger among regular smokers: exploring associations with smoking motives and cessation difficulties. Nicotine and Tobacco Research, 2014; 16(6):881-5. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24692669

140. Cougle JR, Hawkins KA, Macatee RJ, Zvolensky MJ, and Sarawgi S. Trait hostility and hostile interpretation biases in daily smokers: associations with reasons for smoking, motivation to quit, and early smoking lapse. Psychology of Addictive Behaviors, 2014; 28(3):907-11. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25222177

141. Piper ME, Kenford S, Fiore MC, and Baker TB. Smoking cessation and quality of life: changes in life satisfaction over 3 years following a quit attempt. Annals of Behavioral Medicine, 2012; 43(2):262-70. Available from: https://www.ncbi.nlm.nih.gov/pubmed/22160762

142. Wilhelm K, Wedgwood L, Niven H, and Kay-Lambkin F. Smoking cessation and depression: current knowledge and future directions. Drug and Alcohol Review, 2006; 25(1):97–107. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16492582

143. Hughes J. Depression during tobacco abstinence. Nicotine & Tobacco Research, 2007; 9(4):443–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17454698

144. Hitsman B, Borrelli B, McChargue DE, Spring B, and Niaura R. History of depression and smoking cessation outcome: a meta-analysis. Journal of Consulting and Clinical Psychology, 2003; 71(4):657–63. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12924670

145. Hitsman B, Spring B, Borelli B, McChargue D, and Niaura R. Response to Covey. Nicotine & Tobacco Research 2004; 6(4):747–9. Available from: http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1288&context=psychfacpub

146. Burgess ES, Brown RA, Kahler CW, Niaura R, Abrams DB, et al. Patterns of change in depressive symptoms during smoking cessation: who's at risk for relapse? Journal of Consulting and Clinical Psychology, 2002; 70(2):356–61. Available from: http://www.ncbi.nlm.nih.gov/pubmed/11952193

147. Cooper J, Borland R, Yong HH, and Fotuhi O. The impact of quitting smoking on depressive symptoms: Findings from the International Tobacco Control Four-Country Survey. Addiction, 2016. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26918680

148. Johnson KA, Farris SG, Schmidt NB, Smits JA, and Zvolensky MJ. Panic attack history and anxiety sensitivity in relation to cognitive-based smoking processes among treatment-seeking daily smokers. Nicotine and Tobacco Research, 2013; 15(1):1-10. Available from: https://www.ncbi.nlm.nih.gov/pubmed/22544839

149. Wong M, Krajisnik A, Truong L, Lisha NE, Trujillo M, et al. Anxiety sensitivity as a predictor of acute subjective effects of smoking. Nicotine and Tobacco Research, 2013; 15(6):1084-90. Available from: https://www.ncbi.nlm.nih.gov/pubmed/23144083

150. Evatt DP and Kassel JD. Smoking, arousal, and affect: the role of anxiety sensitivity. Journal of Anxiety Disorders, 2010; 24(1):114-23. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19819669

151. Zvolensky MJ, Vujanovic AA, Miller MO, Bernstein A, Yartz AR, et al. Incremental validity of anxiety sensitivity in terms of motivation to quit, reasons for quitting, and barriers to quitting among community-recruited daily smokers. Nicotine and Tobacco Research, 2007; 9(9):965-75. Available from: https://www.ncbi.nlm.nih.gov/pubmed/17763114

152. Johnson KA, Stewart S, Rosenfield D, Steeves D, and Zvolensky MJ. Prospective evaluation of the effects of anxiety sensitivity and state anxiety in predicting acute nicotine withdrawal symptoms during smoking cessation. Psychology of Addictive Behaviors, 2012; 26(2):289-97. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21644805

153. Brown RA, Kahler CW, Zvolensky MJ, Lejuez CW, and Ramsey SE. Anxiety sensitivity: relationship to negative affect smoking and smoking cessation in smokers with past major depressive disorder. Addictive Behaviors, 2001; 26(6):887-99. Available from: https://www.ncbi.nlm.nih.gov/pubmed/11768550

154. Assayag Y, Bernstein A, Zvolensky MJ, Steeves D, and Stewart SS. Nature and role of change in anxiety sensitivity during NRT-aided cognitive-behavioral smoking cessation treatment. Cognitive Behaviour Therapy, 2012; 41(1):51-62. Available from: https://www.ncbi.nlm.nih.gov/pubmed/22375732

155. Zvolensky MJ, Farris SG, Guillot CR, and Leventhal AM. Anxiety sensitivity as an amplifier of subjective and behavioral tobacco abstinence effects. Drug and Alcohol Dependence, 2014; 142:224-30. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25015688

156. Vangeli E, Stapleton J, Smit ES, Borland R, and West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review. Addiction, 2011; 106(12):2110-21. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21752135

157. Klemperer EM, Mermelstein R, Baker TB, Hughes JR, Fiore MC, et al. Predictors of Smoking Cessation Attempts and Success Following Motivation-Phase Interventions Among People Initially Unwilling to Quit Smoking. Nicotine and Tobacco Research, 2020; 22(9):1446-52. Available from: https://www.ncbi.nlm.nih.gov/pubmed/32236417

158. de Granda-Orive JI, Pascual-Lledo JF, Asensio-Sanchez S, Solano-Reina S, Garcia-Rueda M, et al. Is the motivation to quit smoking a predictor of abstinence maintenance? Tob Prev Cessat, 2021; 7:48. Available from: https://www.ncbi.nlm.nih.gov/pubmed/34239998

159. Li L, Borland R, Cummings KM, McNeill A, Heckman BW, et al. Are health conditions and concerns about health effects of smoking predictive of quitting? Findings from the ITC 4CV Survey ( 2016-2018 ). Tob Prev Cessat, 2020; 6:60. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33163706

160. Snelling S, Yong HH, Kasza K, and Borland R. Does alcohol consumption elevate smoking relapse risk of people who used to smoke? Differences by duration of smoking abstinence. J Subst Use Addict Treat, 2024; 159:209260. Available from: https://www.ncbi.nlm.nih.gov/pubmed/38103834

161. Bonitz VS and Gordon RD. Attention to smoking-related and incongruous objects during scene viewing. Acta Psychologica, 2008; 129(2):255-63. Available from: https://www.ncbi.nlm.nih.gov/pubmed/18804752

162. Ferrer-Garcia M, Garcia-Rodriguez O, Gutierrez-Maldonado J, Pericot-Valverde I, and Secades-Villa R. Efficacy of virtual reality in triggering the craving to smoke: its relation to level of presence and nicotine dependence. Studies in Health Technology and Informatics, 2010; 154:123-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20543283

163. Heishman SJ, Lee DC, Taylor RC, and Singleton EG. Prolonged duration of craving, mood, and autonomic responses elicited by cues and imagery in smokers: Effects of tobacco deprivation and sex. Experimental and Clinical Psychopharmacology, 2010; 18(3):245-56. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20545389

164. Wray JM, Godleski SA, and Tiffany ST. Cue-reactivity in the natural environment of cigarette smokers: the impact of photographic and in vivo smoking stimuli. Psychology of Addictive Behaviors, 2011; 25(4):733-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21553947

165. Litvin EB and Brandon TH. Testing the influence of external and internal cues on smoking motivation using a community sample. Experimental and Clinical Psychopharmacology, 2010; 18(1):61-70. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20158295

166. Macy J, Seo D, Chassin L, Presson C, and Sherman S. Prospective predictors of long-term abstinence versus relapse among smokers who quit as young adults. American Journal of Public Health, 2007; 97(8):1470–5. Available from: http://www.ajph.org/cgi/reprint/97/8/1470

167. Hitchman SC, Fong GT, Zanna MP, Thrasher JF, and Laux FL. The relation between number of smoking friends, and quit intentions, attempts, and success: findings from the International Tobacco Control (ITC) Four Country Survey. Psychology of Addictive Behaviors, 2014; 28(4):1144-52. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24841185

168. McRobbie H, Hajek P, and Locker J. Does the reaction of abstaining smokers to the smell of other people's cigarettes predict relapse? Addiction, 2008; 103(11):1883–7. Available from: www.ncbi.nlm.nih.gov/pubmed/19032537

169. Zhao Y, Yong HH, Borland R, Cummings KM, Thrasher JF, et al. Do number of smoking friends and changes over time predict smoking relapse? Findings from the International Tobacco Control Four-Country Survey. Journal of Substance Abuse Treatment, 2022; 138:108763. Available from: https://www.ncbi.nlm.nih.gov/pubmed/35317960

170. Bray BC, Smith RA, Piper ME, Roberts LJ, and Baker TB. Transitions in Smokers’ Social Networks After Quit Attempts: A Latent Transition Analysis. Nicotine & Tobacco Research, 2016. Available from: http://ntr.oxfordjournals.org/content/early/2016/07/29/ntr.ntw173.abstract

171. Andersen JS and Owen DC. Helping relationships for smoking cessation: grounded theory development of the process of finding help to quit. Nursing Research, 2014; 63(4):252-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24977722

172. Creswell KG, Cheng Y, and Levine MD. A test of the stress-buffering model of social support in smoking cessation: is the relationship between social support and time to relapse mediated by reduced withdrawal symptoms? Nicotine and Tobacco Research, 2015; 17(5):566-71. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25257978

173. Falba T and Sindelar J. Spousal concordance in health behavior change. Health Services Research, 2008; 43(1):96–116. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18211520

174. Rohrbaugh M, Shoham V, Butler E, Hasler B, and Berman J. Affective synchrony in dual- and single-smoker couples: further evidence of "symptom-system fit"? Family Process, 2009; 48(1):55–67. Available from: http://www3.interscience.wiley.com/journal/122221810/abstract

175. Cobb LK, McAdams-DeMarco MA, Huxley RR, Woodward M, Koton S, et al. The association of spousal smoking status with the ability to quit smoking: the Atherosclerosis Risk in Communities Study. American Journal of Epidemiology, 2014; 179(10):1182–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24699782

176. Margolis R and Wright L. Better Off Alone Than With a Smoker: The Influence of Partner's Smoking Behavior in Later Life. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 2016; 71(4):687-97. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25693998

177. Saxby K, Ireland A, Ghijben P, Sweeney R, Sia KL, et al. Household Composition and Smoking Behavior in a Prospective Longitudinal Australian Cohort. Nicotine and Tobacco Research, 2023; 25(5):859-66. Available from: https://www.ncbi.nlm.nih.gov/pubmed/36449396

178. vanDellen MR, Boyd SM, Ranby KW, MacKillop J, and Lipkus IM. Willingness to provide support for a quit attempt: A study of partners of smokers. J Health Psychol, 2016; 21(9):1840-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25603929

179. Mersha AG, Eftekhari P, Kennedy M, and Gould GS. Factors associated with quitting among smoking cessation medication-assisted smokers and ex-smokers: A cross-sectional study in Australia. Prev Med Rep, 2023; 32:102168. Available from: https://www.ncbi.nlm.nih.gov/pubmed/36922959

180. Angrave D, Charlwood A, and Wooden M. Working time and cigarette smoking: evidence from Australia and the United Kingdom. Social Science and Medicine, 2014; 112:72-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24814228

181. Arcaya M, Glymour MM, Christakis NA, Kawachi I, and Subramanian SV. Individual and spousal unemployment as predictors of smoking and drinking behavior. Social Science and Medicine, 2014; 110:89-95. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24727666

182. Sonoda K, Okawa S, and Tabuchi T. Association of remote work with tobacco and alcohol use: a cross-sectional study in Japan. BMC Public Health, 2025; 25(1):103. Available from: https://www.ncbi.nlm.nih.gov/pubmed/39780114

183. Shoesmith E, Huddlestone L, Lorencatto F, Shahab L, Gilbody S, et al. Supporting smoking cessation and preventing relapse following a stay in a smoke-free setting: a meta-analysis and investigation of effective behaviour change techniques. Addiction, 2021; 116(11):2978-94. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33620737

184. Carter BL and Tiffany ST. Meta-analysis of cue-reactivity in addiction research. Addiction, 1999; 94(3):327-40. Available from: https://www.ncbi.nlm.nih.gov/pubmed/10605857

185. Payne TJ, Schare ML, Levis DJ, and Colletti G. Exposure to smoking-relevant cues: effects on desire to smoke and topographical components of smoking behavior. Addictive Behaviors, 1991; 16(6):467-79. Available from: https://www.ncbi.nlm.nih.gov/pubmed/1801570

186. Ritchie EV, Fitzpatrick C, Ronksley PE, Leung AA, Seidel S, et al. The Effect of Alcohol Cue Exposure on Tobacco-Related Cue Reactivity: A Systematic Review. Alcohol and Alcoholism, 2022; 57(1):104-12. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33589917

187. Lochbuehler K, Voogd H, Scholte RH, and Engels RC. Attentional bias in smokers: exposure to dynamic smoking cues in contemporary movies. J Psychopharmacol, 2011; 25(4):514-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21098549

188. Wakefield M, Durkin S, Spittal M, Siahpush M, Scollo M, et al. Impact of tobacco control policies and mass media campaigns on monthly adult smoking prevalence: time series analysis. American Journal of Public Health, 2008; 98:1443–50,. Available from: http://www.ajph.org/cgi/content/abstract/98/8/1443

189. Paris MM, Carter BL, Traylor AC, Bordnick PS, Day SX, et al. Cue reactivity in virtual reality: the role of context. Addictive Behaviors, 2011; 36(7):696-9. Available from: https://www.ncbi.nlm.nih.gov/pubmed/21349649

190. Conklin CA, Vella EJ, Joyce CJ, Salkeld RP, Perkins KA, et al. Examining the relationship between cue-induced craving and actual smoking. Experimental and Clinical Psychopharmacology, 2015; 23(2):90-6. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25730416

191. Perski O, Kwasnicka D, Kale D, Schneider V, Szinay D, et al. Within-person associations between psychological and contextual factors and lapse incidence in smokers attempting to quit: A systematic review and meta-analysis of Ecological Momentary Assessment studies. Addiction, 2023. Available from: https://www.ncbi.nlm.nih.gov/pubmed/36807443

192. Wray JM, Gray KM, McClure EA, Carpenter MJ, Tiffany ST, et al. Gender differences in responses to cues presented in the natural environment of cigarette smokers. Nicotine and Tobacco Research, 2015; 17(4):438-42. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25762753

193. Shiffman S, Dunbar MS, Kirchner TR, Li X, Tindle HA, et al. Cue reactivity in converted and native intermittent smokers. Nicotine and Tobacco Research, 2015; 17(1):119-23. Available from: https://www.ncbi.nlm.nih.gov/pubmed/25168030

194. Wray JM, Gass JC, and Tiffany ST. The magnitude and reliability of cue-specific craving in nondependent smokers. Drug and Alcohol Dependence, 2014; 134:304-8. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24309295

195. Hughes JR, Naud S, Fingar JR, Callas PW, and Solomon LJ. Do environmental cues prompt attempts to stop smoking? A prospective natural history study. Drug and Alcohol Dependence, 2015; 154:146-51. Available from: https://www.ncbi.nlm.nih.gov/pubmed/26190558

196. Peuker AC and Bizarro L. Attentional avoidance of smoking cues in former smokers. Journal of Substance Abuse Treatment, 2014; 46(2):183-8. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24074848

197. Lopes FM, Pires AV, and Bizarro L. Attentional bias modification in smokers trying to quit: a longitudinal study about the effects of number of sessions. Journal of Substance Abuse Treatment, 2014; 47(1):50-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24666812

198. Unrod M, Drobes DJ, Stasiewicz PR, Ditre JW, Heckman B, et al. Decline in cue-provoked craving during cue exposure therapy for smoking cessation. Nicotine and Tobacco Research, 2014; 16(3):306-15. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24078760

199. Carter O, Mills B, and Donovan R. The effect of retail cigarette pack displays on unplanned purchases: results from immediate post-purchase interviews. Tobacco Control, 2009; 18(3):218–21. Available from: http://tobaccocontrol.bmj.com/content/18/3/218.full

200. Germain D, McCarthy M, and Wakefield M. Smoker sensitivity to retail tobacco displays and quitting: a cohort study. Addiction, 2010; 105(1):159-63. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19804457

201. Hoek J, Gifford H, Pirikahu G, Thomson G, and Edwards R. How do tobacco retail displays affect cessation attempts? Findings from a qualitative study. Tobacco Control, 2010; 19(4):334-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20671091

202. Clattenburg EJ, Elf JL, and Apelberg BJ. Unplanned cigarette purchases and tobacco point of sale advertising: a potential barrier to smoking cessation. Tobacco Control, 2013; 22(6):376-81. Available from: https://www.ncbi.nlm.nih.gov/pubmed/23138525

203. Li L, Borland R, Fong GT, Thrasher JF, Hammond D, et al. Impact of point-of-sale tobacco display bans: findings from the International Tobacco Control Four Country Survey. Health Education Research, 2013; 28(5):898-910. Available from: https://www.ncbi.nlm.nih.gov/pubmed/23640986

204. Javed B, Sarwer A, Soto EB, and Mashwani ZU. The coronavirus (COVID-19) pandemic's impact on mental health. International Journal of Health Planning and Management, 2020; 35(5):993-6. Available from: https://www.ncbi.nlm.nih.gov/pubmed/32567725

205. Chun HR, Cheon E, and Hwang JE. Systematic review of changed smoking behaviour, smoking cessation and psychological states of smokers according to cigarette type during the COVID-19 pandemic. BMJ Open, 2022; 12(6):e055179. Available from: https://www.ncbi.nlm.nih.gov/pubmed/35701057

206. Bakaloudi DR, Evripidou K, Siargkas A, Breda J, and Chourdakis M. Impact of COVID-19 lockdown on smoking and vaping: systematic review and meta-analysis. Public Health, 2023; 218:160-72. Available from: https://www.ncbi.nlm.nih.gov/pubmed/37043948

207. Sarich P, Cabasag CJ, Liebermann E, Vaneckova P, Carle C, et al. Tobacco smoking changes during the first pre-vaccination phases of the COVID-19 pandemic: A systematic review and meta-analysis. EClinicalMedicine, 2022; 47:101375. Available from: https://www.ncbi.nlm.nih.gov/pubmed/35434579

208. Gravely S, Craig LV, Cummings KM, Ouimet J, Loewen R, et al. Smokers' cognitive and behavioural reactions during the early phase of the COVID-19 pandemic: Findings from the 2020 ITC Four Country Smoking and Vaping Survey. PLoS ONE, 2021; 16(6):e0252427. Available from: https://www.ncbi.nlm.nih.gov/pubmed/34086706

209. World Health Organization. Mental Health and COVID-19: Early evidence of the pandemic’s impact: Scientific brief.  2022. Available from: https://www.who.int/publications/i/item/WHO-2019-nCoV-Sci_Brief-Mental_health-2022.1

210. Serafini G, Parmigiani B, Amerio A, Aguglia A, Sher L, et al. The psychological impact of COVID-19 on the mental health in the general population. QJM, 2020; 113(8):531-7. Available from: https://www.ncbi.nlm.nih.gov/pubmed/32569360

211. Stanton R, To QG, Khalesi S, Williams SL, Alley SJ, et al. Depression, Anxiety and Stress during COVID-19: Associations with Changes in Physical Activity, Sleep, Tobacco and Alcohol Use in Australian Adults. International Journal of Environmental Research and Public Health, 2020; 17(11):4065. Available from: https://www.ncbi.nlm.nih.gov/pubmed/32517294

212. Tzu-Hsuan Chen D. The psychosocial impact of the COVID-19 pandemic on changes in smoking behavior: Evidence from a nationwide survey in the UK. Tob Prev Cessat, 2020; 6:59. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33163705

213. Han MA and Kim HR. Smoking Behavior Changes during COVID-19 among Korean Adults. American Journal of Health Behavior, 2021; 45(6):1031-40. Available from: https://www.ncbi.nlm.nih.gov/pubmed/34969414

214. Koopmann A, Georgiadou E, Reinhard I, Muller A, Lemenager T, et al. The Effects of the Lockdown during the COVID-19 Pandemic on Alcohol and Tobacco Consumption Behavior in Germany. European Addiction Research, 2021; 27(4):242-56. Available from: https://www.ncbi.nlm.nih.gov/pubmed/33902030

Intro
Chapter 2