Weight Gain After Quitting: Attitudes, Beliefs and Counselling Strategies of Cessation Counsellors

Weight Gain After Smoking Cessation and Risk of Major Chronic Diseases and Mortality

IMPORTANCE

Smoking cessation is frequently followed by weight gain; however, whether weight gain after quitting reduces the health benefits of quitting is unclear.

OBJECTIVE

To examine the association between weight change after smoking cessation and the risk of cardiovascular diseases (CVD), type 2 diabetes, cancer, chronic obstructive pulmonary disease (COPD), and all-cause mortality.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study analyzed data from a nationally representative sample of Australian adults aged 18 years or older who were studied between 2006 and 2014. Smoking status and anthropometric measurements were self-reported annually. Cox proportional hazards regressions were used to determine the hazard ratios (HRs) for the association between changes in weight and body mass index (BMI) and the risk of CVD, type 2 diabetes, cancer, COPD, and mortality. Data were analyzed in January 2019.

EXPOSURES

Annual self-reported smoking status; years since quitting.

MAIN OUTCOMES AND MEASURES

Weight gain after quitting, incident CVD, type 2 diabetes, cancer, COPD, and all-cause mortality.

RESULTS

Of a total 16 663 participants (8082 men and 8581 women; mean [SD] age, 43.7 [16.3] years), those who quit smoking had greater increases in weight (mean difference [MD], 3.14 kg; 95% CI, 1.39-4.87) and BMI (MD, 0.82; 95% CI, 0.21-1.44) than continuing smokers. Compared with continuing smokers, the HRs for death were 0.50 (95% CI, 0.36-0.68) among quitters who lost weight, 0.79 (95% CI, 0.51-0.98) among quitters without weight change, 0.33 (95% CI, 0.21-0.51) among quitters who gained 0.1 to 5.0 kg, 0.24 (95% CI, 0.11-0.53) among quitters who gained 5.1 to 10 kg, and 0.36 (95% CI, 0.16-0.82) among quitters who gained more than 10 kg. The HRs for death were 0.61 (95% CI, 0.45-0.83) among quitters who lost BMI, 0.86 (95% CI, 0.51-1.44) among quitters without change in BMI, 0.32 (95% CI, 0.21-0.50) among quitters who gained up to 2 in BMI, and 0.26 (95% CI, 0.16-0.45) among quitters who gained more than 2 in BMI.

CONCLUSIONS AND RELEVANCE

This cohort study found that smoking cessation was accompanied by a substantial weight gain; however, this was not associated with an increased risk of chronic diseases or an attenuation of the mortality benefit of cessation.

Food Addiction Does Not Explain Weight Gain in Smoking Cessation

Introduction: Weight gain during smoking cessation is a major concern. The relationship between smoking and weight is complex and not well understood. There is interest in substitution of nicotine with food.

Aims: This study investigates whether the development of food addiction explains weight gain following a quit smoking attempt.

Methods: This study was a subset of a larger study investigating smoking cessation in New Zealand. Participants were assessed on five visits over a 1-year period. Using validated instruments, measurements for smoking, weight, food intake, craving and food addiction were taken.

Results: Among the 256 participants, 54.7% attended at least one follow-up. Food addiction prevalence at baseline was 0.8%. 14.5% were quit at early follow-up and 14.8% at late follow-up. Weight gain was found in abstainers compared to those still smoking. No increase in food addiction was detected.

Conclusion: The development of food addiction does not play a prominent role in post quit weight gain. Further research is needed to elucidate the underlying weight gain mechanisms.

Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century

BACKGROUND

What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC.

OBJECTIVE

The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion.

METHODS

We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results.

RESULTS

We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems.

CONCLUSIONS

We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems.

Weight gain and smoking: perceptions and experiences of obese quitline participants

Background

Weight gain that commonly accompanies smoking cessation can undermine a person’s attempt to quit and increase the risk for metabolic disorders. Research indicates that obese smokers have more weight concerns and gain more weight after quitting than non-obese smokers, yet little is known about possible reasons for these outcomes. We sought to gain an understanding of obese smokers’ experiences of quitting and their attitudes and beliefs about the association between smoking and weight gain.

Methods

In-depth semi-structured interviews were conducted with obese smokers who called a state tobacco quitline. Interviewers elicited discussion of obese smokers’ thoughts about smoking, the effects of quitting on change in weight, challenges they faced with quitting, and how quitlines might better serve their needs.

Results

Participants (n = 29) discussed their fear of gaining weight after quitting, their beliefs about smoking and their weight and significant experiences related to quitting. Participants’ awareness of weight gain associated with quitting was based on prior experience or observation of others who quit. Most viewed cessation as their primary goal and discussed other challenges as being more important than their weight, such as managing stress or coping with a chronic health condition. Although weight gain was viewed as less important than quitting, many talked about changes they had made to mitigate the anticipated weight gain.

Conclusions

Weight gain is a concern for obese smokers interested in quitting. Understanding the relative importance of body weight and other challenges related to smoking cessation can help tailor interventions for the specific group of smokers who are obese and interested in smoking cessation.

Impact of baseline weight on smoking cessation and weight gain in quitlines

BACKGROUND

The use and effectiveness of tobacco quitlines by weight is still unknown.

PURPOSE

This study aims to determine if baseline weight is associated with treatment engagement, cessation, or weight gain following quitline treatment.

METHODS

Quitline participants (n = 595) were surveyed at baseline, 3 and 6 months.

RESULTS

Baseline weight was not associated with treatment engagement. In unadjusted analyses, overweight smokers reported higher quit rates and were more likely to gain weight after quitting than obese or normal weight smokers. At 3 months, 40 % of overweight vs. 25 % of normal weight or obese smokers quit smoking (p = 0.01); 42 % of overweight, 32 % of normal weight, and 33 % of obese quitters gained weight (p = 0.05). After adjusting for covariates, weight was not significantly related to cessation (approaching significance at 6 months, p = 0.06) or weight gain.

CONCLUSIONS

In the first quitline study of this kind, we found no consistent patterns of association between baseline weight and treatment engagement, cessation, or weight gain.