Exercise and Smoking Cessation

Smoking is a public health crisis, leading to a multitude of health complications. Exercise is associated with numerous health benefits and is accepted by health professionals and smokers as a potentially effective smoking cessation aid. This chapter discusses the extant literature on the relation between exercise and smoking, including cross-sectional studies, experiments, and randomized clinical trials. There is robust evidence for exercise's efficacy in reducing cigarette craving, tobacco withdrawal symptoms, and negative affect. Further, exercise-based interventions appear to boost short-term abstinence yet may fall short of facilitating long-term abstinence. Methodological limitations of extant work are reviewed. We conclude with a discussion of the next steps in this line of work to fine-tune exercise interventions and their application for smoking cessation.

Exercise interventions for smoking cessation

BACKGROUND

Taking regular exercise, whether cardiovascular-type exercise or resistance exercise, may help people to give up smoking, particularly by reducing cigarette withdrawal symptoms and cravings, and by helping to manage weight gain.

OBJECTIVES

To determine the effectiveness of exercise-based interventions alone, or combined with a smoking cessation programme, for achieving long-term smoking cessation, compared with a smoking cessation intervention alone or other non-exercise intervention.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies, using the term 'exercise' or 'physical activity' in the title, abstract or keywords. The date of the most recent search was May 2019.

SELECTION CRITERIA

We included randomised controlled trials that compared an exercise programme alone, or an exercise programme as an adjunct to a cessation programme, with a cessation programme alone or another non-exercise control group. Trials were required to recruit smokers wishing to quit or recent quitters, to assess abstinence as an outcome and have follow-up of at least six months.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Smoking cessation was measured after at least six months, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of comparison, as either smoking cessation or relapse prevention. We carried out meta-analyses where appropriate, using Mantel-Haenszel random-effects models.

MAIN RESULTS

We identified 24 eligible trials with a total of 7279 adult participants randomised. Two studies focused on relapse prevention among smokers who had recently stopped smoking, and the remaining 22 studies were concerned with smoking cessation for smokers who wished to quit. Eleven studies were with women only and one with men only. Most studies recruited fairly inactive people. Most of the trials employed supervised, group-based cardiovascular-type exercise supplemented by a home-based exercise programme and combined with a multi-session cognitive behavioural smoking cessation programme. The comparator in most cases was a multi-session cognitive behavioural smoking cessation programme alone. Overall, we judged two studies to be at low risk of bias, 11 at high risk of bias, and 11 at unclear risk of bias. Among the 21 studies analysed, we found low-certainty evidence, limited by potential publication bias and by imprecision, comparing the effect of exercise plus smoking cessation support with smoking cessation support alone on smoking cessation outcomes (RR 1.08, 95% CI 0.96 to 1.22; I² = 0%; 6607 participants). We excluded one study from this analysis as smoking abstinence rates for the study groups were not reported. There was no evidence of subgroup differences according to the type of exercise promoted; the subgroups considered were: cardiovascular-type exercise alone (17 studies), resistance training alone (one study), combined cardiovascular-type and resistance exercise (one study) and type of exercise not specified (two studies). The results were not significantly altered when we excluded trials with high risk of bias, or those with special populations, or those where smoking cessation intervention support was not matched between the intervention and control arms. Among the two relapse prevention studies, we found very low-certainty evidence, limited by risk of bias and imprecision, that adding exercise to relapse prevention did not improve long-term abstinence compared with relapse prevention alone (RR 0.98, 95% CI 0.65 to 1.47; I² = 0%; 453 participants).

AUTHORS' CONCLUSIONS

There is no evidence that adding exercise to smoking cessation support improves abstinence compared with support alone, but the evidence is insufficient to assess whether there is a modest benefit. Estimates of treatment effect were of low or very low certainty, because of concerns about bias in the trials, imprecision and publication bias. Consequently, future trials may change these conclusions.

Self-rated physical fitness and estimated maximal oxygen uptake in relation to all-cause and cause-specific mortality

This study investigated the longitudinal associations of self-rated physical fitness and estimated maximal oxygen uptake (VO2max) with all-cause and cause-specific mortality. A total of 59 741 participants in the Finnish National FINRISK Study Cohort had data on self-rated physical fitness and covariates. A subsample of 4823 participants had estimated VO2max data. Follow-up ranged from 3 to 38 years. Associations of self-rated physical fitness and VO2max with mortality were analyzed using multivariate Cox proportional hazard models. The study showed that poor self-rated physical fitness was related to all-cause mortality (hazard ratio [HR] 1.9; 95% confidence interval [CI] 1.8-2.0) and mortality due to cardiovascular (HR 2.0, 95% CI 1.9-2.2), cerebrovascular (HR 1.9, 95% CI 1.6-2.2) and respiratory diseases (HR 2.1, 95% CI 1.9-2.4), trauma (HR 1.7, 95% CI 1.3-2.0), infections (HR 1.8, 95% CI 1.3-2.7), dementia (HR 1.9, 95% CI 1.6-2.3), and cancer (HR 1.7, 95% CI 1.5-1.9). Coexisting higher age, physical inactivity, male gender, and severe chronic conditions further increased the risk. In men, higher VO2max was associated with a lower risk of lung cancer mortality (HR 0.8, 95% CI 0.7-0.96). Based on the results, self-rated physical fitness reflects a combination of unfavorable biological and lifestyle-related factors, which increase mortality risk. A simple question about perceived physical fitness may reveal at-risk individuals who would benefit from more intensive treatment of chronic conditions and other interventions aiming to promote better fitness and well-being.

Physical activity, smoking, and the incidence of clinically diagnosed insomnia

OBJECTIVE

This study was designed to examine the independent and combined associations of physical activity and smoking on the incidence of doctor-diagnosed insomnia using a nationally representative sample over seven years, taking into account other relevant covariates.

METHODS

Participants aged 18 years or older in the 2005 Taiwan National Health Interview Survey (NHIS) with links to National Health Insurance (NHI) claim data between 2005 and 2012 and without diagnosed insomnia before 2005, were selected into this study (n = 12,728). Participants were classified as having insomnia with International Classification of Diseases, Ninth Revision (ICD-9) CM codes 307.41, 307.42, or 780.52. Self-reported smoking status and frequency, duration, and types of leisure-time and non-leisure-time physical activities were collected. Metabolic equivalent (MET) intensity levels for each activity were assigned, and weekly energy expenditure of each activity was calculated and summed.

RESULTS

Inactive participants had a higher risk of incident insomnia [hazard ratio (HR) = 1.22, 95% confidence interval (CI) = 1.06-1.42, p = 0.007] than the active group, and ever-smokers were more likely to have incident insomnia than never smokers (HR = 1.45, 95% CI = 1.20-1.76, p < 0.001). Compared with the nonsmoker/active group, the ever-smoker/inactive group had a higher risk of incident insomnia (HR = 1.78, 95% CI = 1.41-2.25, p < 0.001). Sensitivity analyses excluding individuals diagnosed with other sleep disorders or mental disorders yielded similar results, with the ever-smoker/inactive group having the highest risk of insomnia.

CONCLUSIONS

Inactive adults and smokers are at higher risk for incident insomnia, highlighting the importance of a healthy lifestyle and pointing to strategies such as encouraging smoking cessation and physical activity to avoid insomnia among adults.

The period prevalence of risk behavior co-occurrence among Canadians

INTRODUCTION

While the benefits of complying with health recommendations is well documented, a considerable proportion of Canadians engage in multiple modifiable risk behaviors. The purpose of this multi-wave longitudinal study was to identify the individual period prevalence and co-occurrence of multiple modifiable risk behaviors, particularly excessive alcohol consumption, physical inactivity, and tobacco use, within a nationally representative sample of Canadians.

METHODS

Secondary data analysis was conducted on the first seven cycles of the National Population Health Survey. This longitudinal sample included 15,167 Canadians aged 12years of age or older. Gender-specific criteria were employed to define excessive alcohol consumption. Individuals expending <3.0kcal/kg/day during their leisure-time and smoking cigarettes (daily or occasionally) met the criteria for physical inactivity and tobacco use, respectively.

RESULTS

The period prevalence of the Canadian general population that participated in multiple risk behaviors was 21.5% in cycle 7. The most common pairwise combination of co-occurring risk behaviors was physical inactivity and smoking. The proportion of Canadians reporting the co-occurrence of all three risk behaviors in cycle 7 was 2.6%.

CONCLUSIONS

Understanding patterns of modifiable risk behaviors is an initial step in developing and implementing public health interventions. The co-occurrence of these three risk behaviors is a viable concern for one in five Canadians. For these individuals, the likelihood of encountering premature morbidity and mortality is escalated. As the majority of Canadians reported being physically inactive, allocating limited resources towards enhancing leisure-time physical activity levels could have significant population-level implications for improving the health of Canadians.

Body image emotions, perceptions, and cognitions distinguish physically active and inactive smokers

Objectives

To determine if body image emotions (body-related shame and guilt, weight-related stress), perceptions (self-perceived overweight), or cognitions (trying to change weight) differ between adolescents characterized by smoking and physical activity (PA) behavior.

Methods

Data for this cross-sectional analysis were collected in 2010–11 and were available for 1017 participants (mean (SD) age = 16.8 (0.5) years). Participants were categorized according to smoking and PA status into four groups: inactive smokers, inactive non-smokers, active smokers and active non-smokers. Associations between body image emotions, perceptions and cognitions, and group membership were estimated in multinomial logistic regression.

Results

Participants who reported body-related shame were less likely (OR (95% CI) = 0.52 (0.29–0.94)) to be in the active smoker group than the inactive smoker group; those who reported body-related guilt and those trying to gain weight were more likely (2.14 (1.32–3.48) and 2.49 (1.22–5.08), respectively) to be in the active smoker group than the inactive smoker group; those who were stressed about weight and those perceiving themselves as overweight were less likely to be in the active non-smoker group than the inactive smoker group (0.79 (0.64–0.97) and 0.41 (0.19–0.89), respectively).

Conclusion

Body image emotions and cognitions differentiated the active smoker group from the other three groups.

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We examined body image in physically active adolescent smokers.

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Body-related shame and guilt were related to being a physically active smoker.

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Trying to gain weight was also associated with being a physically active smoker.

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Body image emotions and cognitions differentiate physically active smokers.

Cigarette smoking is associated with unhealthy patterns of food consumption, physical activity, sleep impairment, and alcohol drinking in Chinese male adults

OBJECTIVES

According to a recent national survey, tobacco use is a critical public health issue in China, with more than two-thirds of Chinese males smoking. Findings in Western populations suggest that smoking may cluster with other health-risk behaviors. To explore these relationships in Chinese male adults, we utilized baseline data from the China Seven Cities Study (CSCS).

METHODS

Male adults (n = 12,122) were included. Smoking status was defined as never smokers, ex-smokers, current smokers, and current heavy smokers. Logistic regression was employed to investigate the association of cigarette smoking and patterns of food consumption, physical activity, and alcohol drinking.

RESULTS

After controlling for age, socioeconomic status, and city residence, heavy smokers consumed significantly less vegetables, fruits, milk and other dairy products, spent significantly more time watching television, slept and exercised less, and got drunk or engaged in binge drinking more frequently compared to never, ex-, or current smokers (p < 0.05).

CONCLUSIONS

Findings suggest significant associations of heavy cigarette smoking with other health-risk behaviors in Chinese male adults, underscoring the need for tobacco control interventions for Chinese males.

Factors that influence physical function and emotional well-being among Medicare-Medicaid enrollees

Dually enrolled Medicare-Medicaid older adults are a vulnerable population. We tested House's Conceptual Framework for Understanding Social Inequalities in Health and Aging in Medicare-Medicaid enrollees by examining the extent to which disparities indicators, which included race, age, gender, neighborhood poverty, education, income, exercise (e.g., walking), and physical activity (e.g., housework) influence physical function and emotional well-being. This secondary analysis included 337 Black (31%) and White (69%) older Medicare-Medicaid enrollees. Using path analysis, we determined that race, neighborhood poverty, education, and income did not influence physical function or emotional well-being. However, physical activity (e.g., housework) was associated with an increased self-report of physical function and emotional well-being of β = .23, p < .001; β = .17, p < .01, respectively. Future studies of factors that influence physical function and emotional well-being in this population should take into account health status indicators such as allostatic load, comorbidity, and perceived racism/discrimination.

Exercise interventions for smoking cessation

BACKGROUND

Taking regular exercise may help people give up smoking by moderating nicotine withdrawal and cravings, and by helping to manage weight gain.

OBJECTIVES

To determine whether exercise-based interventions alone, or combined with a smoking cessation programme, are more effective than a smoking cessation intervention alone.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register in April 2014, and searched MEDLINE, EMBASE, PsycINFO, and CINAHL Plus in May 2014.

SELECTION CRITERIA

We included randomized trials which compared an exercise programme alone, or an exercise programme as an adjunct to a cessation programme, with a cessation programme (which we considered the control in this review). Studies were required to recruit smokers or recent quitters and have a follow-up of six months or more. Studies that did not meet the full inclusion criteria because they only assessed the acute effects of exercise on smoking behaviour, or because the outcome was smoking reduction, are summarised but not formally included.

DATA COLLECTION AND ANALYSIS

We extracted data on study characteristics and smoking outcomes. Because of differences between studies in the characteristics of the interventions used we summarized the results narratively, making no attempt at meta-analysis. We assessed risk of selection and attrition bias using standard methodological procedures expected by The Cochrane Collaboration.

MAIN RESULTS

We identified 20 trials with a total of 5,870 participants. The largest study was an internet trial with 2,318 participants, and eight trials had fewer than 30 people in each treatment arm. Studies varied in the timing and intensity of the smoking cessation and exercise programmes offered. Only one included study was judged to be at low risk of bias across all domains assessed. Four studies showed significantly higher abstinence rates in a physically active group versus a control group at end of treatment. One of these studies also showed a significant benefit for exercise versus control on abstinence at the three-month follow-up and a benefit for exercise of borderline significance (p = 0.05) at the 12-month follow-up. Another study reported significantly higher abstinence rates at six month follow-up for a combined exercise and smoking cessation programme compared with brief smoking cessation advice. One study showed significantly higher abstinence rates for the exercise group versus a control group at the three-month follow-up but not at the end of treatment or 12-month follow-up. The other studies showed no significant effect for exercise on abstinence.

AUTHORS' CONCLUSIONS

Only two of the 20 trials offered evidence for exercise aiding smoking cessation in the long term. All the other trials were too small to reliably exclude an effect of intervention, or included an exercise intervention which may not have been sufficiently intense to achieve the desired level of exercise. Trials are needed with larger sample sizes, sufficiently intense interventions in terms of both exercise intensity and intensity of support being provided, equal contact control conditions, and measures of exercise adherence and change in physical activity in both exercise and comparison groups.