Early weight gain after stopping smoking: a predictor of overall large weight gain? A single-site retrospective cohort study

Body weight change during a smoking cessation intervention for individuals with overweight or obesity

INTRODUCTION

A more comprehensive understanding of the factors regarding weight control in individuals with overweight or obesity after quitting smoking is needed. The study aimed to analyze the changes of in-treatment variables during a smoking cessation intervention and examine their impact on weight.

METHODS

A total of 120 individuals who smoke with overweight or obesity (MBMI = 31.75 ± 4.31; 54.16 % female) participated in a cognitive-behavioral therapy for smoking cessation and weight control or the same treatment plus contingency management. Weight, smoking variables (cotinine and continuous abstinence), eating behaviors (appetite, grazing), exercise, and sleep were assessed weekly throughout the treatment.

RESULTS

More participants gained weight over time with reduced nicotine use or abstinence. There was a tendency during treatment to increase appetite and exercise time, while grazing episodes and sleeping hours remained stable. Higher baseline weight (p < .001), greater cotinine reduction (p = .021) and time (p = .009) were associated with greater weight gain, while more hours of exercise (p = .003), no appetite changes (p = .003) and diminished appetite (p < .001) were associated with less gain over the treatment. Both treatment conditions showed similar results in all in-treatment variables.

DISCUSSION

Individuals with overweight and obesity with higher baseline weight and higher baseline cotinine levels during smoking cessation interventions may require special attention to improve weight outcomes. Exercise and appetite regulation may be useful for mitigating weight gain in smoking cessation interventions for individuals with overweight or obesity.

Determination of the Level of Cardiovascular Risk in 172,282 Spanish Working Women

Introduction, objectives: Although cardiovascular events have been traditionally associated mainly with men, some data reflect an increase in women, which may even exceed their male counterparts, constituting the leading cause of death in working women in Spain. The objective of this present study was to analyze the level of cardiovascular risk in Spanish working women by assessing the influence of age, type of work, and tobacco consumption.

MATERIAL, METHODS

A descriptive cross-sectional study was carried out in 172,282 working women from different Spanish geographical areas and from different companies between January 2018 and June 2020. A range of variables and risk factors were assessed and various cardiovascular risk scales were used to analyze the data.

RESULTS

An increase in cardiovascular risk was observed in the least qualified work groups, mainly corresponding to blue-collar workers, when using the SCORE or REGICOR risk equation. The prevalence of altered values for all the parameters analyzed (overweight and obesity, hypertension, dyslipidemia, diabetes, fatty liver, hepatic fibrosis, atherogenic indexes, and cardiovascular risk scales) was higher among blue-collar women. Age was the only factor that influenced all the cardiovascular risk scales studied, increasing risk when comparing the group of women aged 50 years and older with the others.

CONCLUSIONS

Aging and belonging to the blue-collar job category meant worse results in the cardiovascular risk scales and in all the parameters analyzed. This is in line with numerous studies that argue that age and zip code are more influential than genetic code.

Age of Smoking Initiation in Relation to Multiple Health Risk Factors among US Adult Smokers: National Health Interview Survey (NHIS) Data (2006-2018)

The adverse effects of multiple health risk factors have been well-documented; however, still understudied are the effects of early smoking in the context of multiple health risk factors. This study aimed to examine the role of early smoking initiation in relation to several health risk factors, including heavy drinking, physical inactivity, and obesity in later life among ever smokers in the USA. The National Health Interview Survey (NHIS) data from 2006 through 2018 were analyzed. The primary dependent variables were presence of three other risk factors: heavy drinking, physical inactivity, and obesity. The independent variable was the age of smoking initiation. Logit regression models were constructed to evaluate the association between smoking initiation and multiple health risk factors. All analyses were done in 2022. Among US adult smokers, 18.2% started smoking before age 15 (early initiators), 55.9% at ages 15-18 (middle initiators), and 25.9% at age 20 or later (late initiators). Compared to late smoking initiators, the odds of engaging in additional health risk factors increased by 37.3% among early initiators (OR = 1.373, 95% CI = 1.316, 1.432) and 7.7% among middle initiators (OR = 1.077, 95% CI= 1.041, 1.116). Additionally, current smoking was associated with higher odds (OR = 1.369, 95% CI = 1.322, 1.417) of having additional health risk factors compared to former smoking, with one exception: current smokers had lower odds of obesity (OR = 0.566, 95% CI = 0.537, 0.597). Tobacco control programs to prevent adolescents from initiating smoking may have the potential to prevent other health risk factors in adulthood.

Slim larks and overweight owls? A two years dietary intervention in shift workers

Previous studies have shown that shift workers are more prone to non-communicable diseases. The aim of the present crossover study is to investigate whether it is possible to improve the health status of shift workers. Nineteen male shift workers (38.5 years ± 7.4) received every other month a dietary counseling for one year. All subjects kept a seven-day diet diary during a night shift, received bioelectrical impedance analysis, and a laboratory examination was performed at the beginning of the study, after one year and at the end of the study. The laboratory blood test included the main metabolic parameters, melatonin and serotonin. Beside subjects were also motivated to incorporate more physical training into their daily routine. After the intervention period, participants reduced energy intake, mean portion size, table salt, consumption of sugar and saturated fat. C-reactive protein (CRP), mean corpuscular volume (MCV), liver enzymes, triglycerides, and uric acid decreased, while melatonin level increased. Participants lost body weight and reduced waist circumference after the intervention. Lifestyle modification and dietary information could contribute to the health of shift workers. However, further studies are needed to investigate whether this can prevent disease and whether melatonin production can be influenced by diet.

Cardiometabolic profile of 15057 elderly Spanish workers: association of sociodemographic variables and tobacco consumption

Background

Aging of the world population is one of the most significant demographic changes of our time. Populations older than 60 years are heterogeneous, and age is an independent cardiovascular risk factor aggravated by frailty, obesity, and diabetes, and influenced by several factors, including sex and socioeconomic status. The objective of this study was to calculate cardiovascular risk in workers of both sexes over 60 years of age and to assess whether there are difference s by sex, social class, smoking, and type of job.

Methods

A cross-sectional study was carried out in 15,057 elderly Spanish workers from different autonomous communities in Spain and with different labor occupations. Anthropometric, sociodemographic, clinical, and laboratory values were determined. People were classified according to age from 60 to 64 years inclusive and from 65 to 69 years, smokers and non-smokers, and both blue-collar and white-collar workers. Subsequently, a multivariate analysis was carried out.

Results

Men, blue-collar workers, smokers, and aging were factors that influenced cardiovascular risk: with an OR of 3.27 (95% CI: 2.64–4.05) in people 65 years of age or older versus the younger group, and an OR of 3.15 (95% CI: 2.69–3.69) in smokers versus non-smokers. A stronger independent association was found between smoking, age, and cardiovascular risk. The risk of developing non-alcoholic fatty liver and liver fibrosis was much higher in men than in women, with an OR of 4.06 (95% CI: 3.66–4.50) for the former and an OR of 2.10 (95% CI: 1.95–2.26) for the BARD index.

Conclusions

The highest risk groups were observed in male subjects with a history of smoking and blue-collar workers and, as such, should be considered for cardiovascular risk screening programs.

The Effect of Smoking Cessation on Body Weight and Other Metabolic Parameters with Focus on People with Type 2 Diabetes Mellitus

Smokers with diabetes mellitus substantially lower their risks of microvascular and macrovascular diabetic complications, in particular cardiovascular disease, by quitting smoking. However, subsequent post-smoking-cessation weight gain may attenuate some of the beneficial effects of smoking cessation and discourage attempts to quit. Weight gain can temporarily exacerbate diabetes and deteriorate glycemic control and metabolic profile. The molecular mechanisms by which quitting smoking leads to weight gain are largely associated with the removal of nicotine's effects on the central nervous system. This review addresses mechanisms of post-smoking-cessation weight gain, by reviewing the effects of nicotine on appetite, food intake, eating behaviour, energy expenditure, fat oxidation and appetite-regulating peptides. We also highlight correlations between post-cessation weight gain and risk of type 2 diabetes, consequences of weight gain in people with type 2 diabetes and the role of pharmacotherapies, which combine treatment of nicotine addiction and promotion of weight control.

Association of weight change following smoking cessation with the risk of tuberculosis development: A nationwide population-based cohort study

Background

Smoking or weight loss is a risk of tuberculosis (TB) development. However, the impact of weight change after smoking cessation on the occurrence of TB remains elusive. We aimed to determine the relationship between weight change after smoking cessation and the risk of TB development.

Methods

We conducted a population-based cohort study using the national database in Republic of Korea. Of the 10,490,491 subjects who underwent health check-up in 2009, we enrolled 9,953,124 subjects without a previous TB history and followed them until 2017. We divided all study participants into the following three groups: never, former, and current smokers. The primary endpoint was newly developed TB.

Results

Among 9,953,124 subjects analyzed, 5,922,845 (59.5%) were never smokers, 1,428,209 (14.4%) were former smokers, and 2,602,080 (26.1%) were current smokers. The risk of TB development was significantly higher in current smokers than in never smokers (adjusted hazard ratio (aHR) 1.158; 95% confidence interval [CI] 1.131–1.186). Among current smokers, individuals who stopped smoking and maintained weight after baseline evaluation had a significantly lower risk of TB development compared with those who continued to smoke (aHR 0.771; 95% CI 0.741–0.892). However, even after smoking cessation, individuals who lost weight were at a significantly higher risk of TB development compared with those who continued to smoke (aHR 1.327; 95% CI 1.119–1.715).

Conclusions

Our findings suggest that smoking is a risk factor for TB and weight maintenance (neither gaining or losing) after quitting smoking might reduce the risk of TB development.

Association between post-cessation weight gain and eating behavior changes

OBJECTIVE:

Fear of post-cessation weight gain may be a barrier to cessation therapy or may lead to smoking relapse. This study aimed to evaluate the relationship between the change in eating behavior and post-cessation weight gain.

METHODS:

A prospective study that included 103 cigarette smokers, who visited the family medicine clinics of a training and research hospital for smoking cessation treatment between June 2018 and December 2018, was planned. A face to face survey (including Turkish version of Dutch Eating Behaviour Questionnaire-DEBQ and weight measures) was applied to all individuals at first and the final visits for the assessment of restrained, emotional, and external eating behaviors. Statistical analyses were completed using the IBM SPSS Statistics 22 program.

RESULTS:

Of 103 patients screened (M age=38.3 years SD=9.28), 58.3% were male, and 40.8% were in heavy nicotine dependence level (NDL) group. The mean weight increased by 4.74±2.63 kg in three months of smoking cessation. In the high NDL group, three subscales score (restrained p<0.001, emotional p=0.007, external p=0.005) of the DEBQ increased. Weight gain was significative associated with NDL (p=0.01). There was a positive correlation between Fagerstrom score and weight (kg) gain (r: 0.34; p=0.001). Weight change according to the emotional eating behavior was significantly different by gender (female p=0.005; male p=0.04). Women had a higher difference in emotional eating behavior score than men. Obese smokers had a higher initial restrained eating score than non-obese smokers (p=0.009). Weight gain of nicotine replacement therapy group had a similar result in the pharmacotherapy (varenicline) group (p=0.26). Both of treatment types concluded with a significant weight change (p=0.001).

CONCLUSION:

This study obtained that post-cessation weight gain is related to high nicotine dependence, and quit smoking causes increased scores of emotional, restrained, external eating behavior subscales. Post-cessation eating behavior is negatively affected by quit smoking.