Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation

Post-Cessation Weight Gain among Smokers with Depression Predicts Smoking Relapse

Objective: Weight gain (WG) is one of the most widespread consequences of smoking cessation, although there is a great variability of post-cessation weight changes among smokers. Its approach is critical because it depicts an important barrier to trying to quit smoking and because it has been considered as a long-term predictor of relapse. Notwithstanding, little is known about post-cessation WG specifically among depressed smokers. The current study sought to: (1) describe the WG at posttreatment and follow-ups in smokers with depression, (2) examine the predictors of posttreatment WG, and (3) analyze whether post-cessation WG predicts smoking relapse at 6-month follow-up. Methods: The sample was comprised of 125 smokers with depression who achieved tobacco abstinence at posttreatment following a psychological smoking cessation intervention. Smoking abstinence was biochemically verified through carbon monoxide and urine cotinine. Multiple linear and hierarchical logistic regressions were conducted to examine predictors of WG at posttreatment and tobacco relapse at 6-month follow-up, respectively. Results: Abstinent participants gained an average of 3.55 kg at 6-month follow-up compared to 1.49 kg among participants who relapsed. Greater nicotine dependence (β = .372, p = .001) and diastolic pressure at baseline (β = .252, p = .021) predicted higher WG at end of treatment. WG at posttreatment increased the likelihood of relapse 6 months later (B = .303, OR = 1.354; 95% CI [1.006, 1.822]). Limitations: Weight concerns, disordered eating, and BMI were not recorded, and they could be related to the present findings. Conclusions: These results suggest that individuals with depression during treatment for smoking cessation should be regularly screened and offered treatment to prevent WG.

Validation of the Food Purchase Task (FPT) in a clinical sample of smokers with overweight and obesity

Obesity is a major health problem associated with disease burden and mortality. In this context, analyzing food as a powerful reinforcer from a behavioral economics framework could be relevant for the treatment and prevention of obesity. The purposes of this study were to validate a food purchase task (FPT) in a clinical sample of Spanish smokers with overweight and obesity and to assess the internal structure of the FPT. We also analyzed the clinical utility of single-item breakpoint (i.e., commodity price that suppresses demand). A total of 120 smokers [% females: 54.2; M_age = 52.54; SD = 10.34] with overweight and obesity completed the FPT and weight/eating-related variables. Principal component analysis was used to examine the FPT structure, and a set of correlations were used to examine the relationship between the FPT, eating and weight-related variables. The FPT demonstrated robust convergent validity with other measures of eating. Higher food demand was related to higher food craving (r = .33), more binge eating problems (r = 0.39), more weight gain concerns (r = 0.35), higher frequency of both controlled (r = 0.37) and uncontrolled (r = 0.30) grazing, as well as to an eating style in response to emotions (r = 0.34) and external eating (r = 0.34). Of the demand indices, Intensity and O_max showed the highest magnitudes of effects. The FPT factors, persistence and amplitude, do not improve individual FPT indices; and the single-item breakpoint was not related to any eating or weight variable. The FPT is a valid measure of food reinforcement with potential clinical utility in smokers with obesity/overweight.

The COVID-19 lockdown as an opportunity to change lifestyle and body weight in people with overweight/obesity and diabetes: Results from the national French COVIDIAB cohort

BACKGROUND AND AIMS

To analyze lifestyle habits and weight evolution during the COVID-19 pandemic-associated lockdown, in diabetes and overweight/obesity patients (body mass index (BMI) [25-29.9] and ≥30 kg/m², respectively).

METHODS AND RESULTS

We collected information on participants' characteristics and behavior regarding lifestyle before and during the lockdown, through the CoviDIAB web application, which is available freely for people with diabetes in France. We stratified the cohort according to BMI (≥25 kg/m²vs < 25 kg/m²) and examined the determinants of weight loss (WL), WL > 1 kg vs no-WL) in participants with a BMI ≥25 kg/m², in both univariate and multivariate analyses. Of the 5280 participants (mean age, 52.5 years; men, 49%; diabetes, 100% by design), 69.5% were overweight or obese (mean BMI, 28.6 kg/m² (6.1)). During the lockdown, patients often quit or decreased smoking; overweight/obese participants increased alcohol consumption less frequently as compared with normal BMI patients. In addition, overweight/obese patients were more likely to improve other healthy behaviors on a larger scale than patients with normal BMI: increased intake of fruits and vegetables, reduction of snacks intake, and reduction of total dietary intake. WL was observed in 18.9% of people with a BMI ≥25 kg/m², whereas 28.6% of them gained weight. Lifestyle favorable changes characterized patients with WL.

CONCLUSIONS

A significant proportion of overweight/obese patients with diabetes seized the opportunity of lockdown to improve their lifestyle and to lose weight. Identifying those people may help clinicians to personalize practical advice in the case of a recurrent lockdown.