Smoking-related weight and appetite concerns and use of electronic cigarettes among daily cigarette smokers

Exploring Vaping Patterns and Weight Management-Related Concerns among Adolescents and Young Adults: A Systematic Review

Background: Electronic cigarettes or vapes are battery-operated devices that heat a liquid, often containing nicotine and flavouring substances, to produce an inhalable aerosol. Despite being used as an alternative to traditional smoking, many studies have reported their health risks and ineffectiveness in smoking cessation. The impact of e-cigarettes on weight control behaviours, a known effect of traditional cigarette smoking, is unclear. Herein, a systematic review was conducted to explore the relationship between e-cigarette use and body weight changes in adolescents and young adults. Methods: The existing literature from databases such as PubMed, Cochrane Library, Embase, Science Direct, Web of Science, Scopus, and Google Scholar until October 2023 was searched and included in the review. The methodological quality of all selected studies was assessed using the Joanna Briggs Institute's (JBI) Critical Appraisal Checklists for Studies. Results: Out of 5117 citations, 20 publications featuring cross-sectional studies with adolescent participants were qualitatively analysed. The high rates of e-cigarette usage seemed to correlate with increased weight concerns, particularly among females. Regular e-cigarette users who reported being overweight and used calorie restriction for weight reduction were more likely to view vaping as a weight loss or control strategy. Young adults (<24 years) may consume more flavoured e-cigarettes than older users (>25 years). Conclusions: This study revealed a significant use of e-cigarettes among high school students, driven by taste preferences, weight management, and perceived harm reduction. Particularly among girls facing body image pressures, vaping serves as a weight control method. This highlights the need to assess cardiovascular risks and advocate for further research, including longitudinal studies, to inform public health strategies effectively.

Efficacy of the QuitSure App for Smoking Cessation in Adult Smokers: Cross-Sectional Web Survey

BACKGROUND

Cigarette smoking remains one of the leading causes of preventable death worldwide. A worldwide study by the World Health Organization concluded that more than 8 million people die every year from smoking, tobacco consumption, and secondhand smoke. The most effective tobacco cessation programs require personalized human intervention combined with costly pharmaceutical supplementation, making them unaffordable or inaccessible to most tobacco users. Thus, digital interventions offer a promising alternative to these traditional methods. However, the leading smartphone apps available in the market today have either not been studied in a clinical setting or are unable to match the smoking cessation success rates of their expensive offline counterparts. We would like to understand whether QuitSure, a novel smoking cessation app built by Rapidkart Online Private Limited, is able to bridge this efficacy gap and deliver affordable and effective smoking cessation at scale.

OBJECTIVE

Our objective was to do an initial exploration into the engagement, efficacy, and safety of QuitSure based on the self-reported experiences of its users. Outcomes measured were program completion, the effect of program completion on smoking behavior, including self-reported cessation outcomes, and negative health events from using the app.

METHODS

All QuitSure registered users who created their accounts on the QuitSure app between April 1, 2021, and February 28, 2022, were sent an anonymized web-based survey. The survey results were added to their engagement data on the app to evaluate the feasibility and efficacy of the app as a smoking cessation intervention. The data were analyzed using descriptive statistics (frequencies and percentages) and the χ2 test of independence.

RESULTS

In total, 1299 users who had completed the QuitSure program submitted the survey and satisfied the inclusion criteria of the study. Of these, 1286 participants had completed the program more than 30 days before filling out the survey, and 1040 (80.1%, 95% CI 79.1%-82.6%) of them had maintained prolonged abstinence for at least 30 days after program completion. A majority of participants (770/891, 86.4%) who were still maintaining abstinence at the time of submitting the survey did not experience any severe nicotine withdrawal symptoms, while 41.9% (373/891) experienced no mild withdrawal symptoms either. Smoking quantity prior to completing the program significantly affected quit rates (P<.001), with heavy smokers (>20 cigarettes per day) having a lower 30-day prolonged abstinence rate (relative risk=0.91; 95% CI 90.0%-96.2%) compared to lighter smokers. No additional adverse events outside of known nicotine withdrawal symptoms were reported.

CONCLUSIONS

The nature of web-based surveys and cohort selection allows for extensive unknown biases. However, the efficacy rates of survey respondents who completed the program were high and provide a case for further investigation in the form of randomized controlled trials on the QuitSure tobacco cessation program.

Indirect Effects of Body Mass Index and Sweet Taste Responsiveness on E-Cigarette Dependence: The Role of E-Cigarette Motives

Background: Recent research has shown obesity to be associated with e-cigarette use and appeal, but models have yet to examine how weight status may be related to e-cigarette dependence among e-cigarette users. Objectives: To increase our understanding of pathways from body mass index (BMI) to e-cigarette dependence, the present cross-sectional observational study investigated a model in which BMI, sweet taste responsiveness, and the interaction of BMI and sweet taste responsiveness are associated with e-cigarette dependence indirectly via seven conceptually-distinct motives for e-cigarette use. Data from several e-cigarette clinical laboratory research studies were pooled and analyzed; only current e-cigarette users were included in the analyses (N=330). Structural equation modeling was used to analyze the hypothesized model. Results: BMI was positively associated with lower social/environmental goad motives and higher weight control motives, and BMI x sweet taste interaction terms found that sweet taste responsiveness strengthened the association of BMI and weight control motives. BMI was not directly or indirectly associated with e-cigarette dependence nor was there a bivariate association between BMI and e-cigarette dependence. Sweet taste responsiveness was positively associated with greater affiliative attachment motives, cognitive enhancement motives, cue exposure-associative process motives, weight control motives, and affect enhancement motives. Sweet taste responsiveness was bivariately associated with e-cigarette dependence and mediation paths show indirect relations to e-cigarette dependence via three of the seven motives. Conclusions: The findings suggest that sweet taste responsiveness, opposed to BMI, is associated with a wider range of e-cigarette use motives and indirectly relates to e-cigarette dependence via several e-cigarette use motives.

Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial

BACKGROUND

Digital therapies, especially smartphone apps for active and continuous smoking cessation support, are strongly emerging as an alternative smoking cessation therapy. In the Indian context, there is a growing interest in the use of app-based smoking cessation programs; however, there is limited evidence regarding their effectiveness in achieving long-term continuous abstinence.

OBJECTIVE

This study aimed to evaluate the long-term abstinence effect (up to 30-d abstinence postprogram completion) of a smartphone app, QuitSure, for smoking cessation in active smokers from India.

METHODS

In this prospective single-arm study, participants who signed up for the QuitSure app were enrolled in this study. The primary end point was the prolonged abstinence (PA) rate from weeks 1 to 4 (day 7 to day 30). Furthermore, data for withdrawal symptoms, relapse reasons, and reasons for not continuing the program were also assessed.

RESULTS

The quit rate was calculated considering only the participants who followed up and completed the survey sent to them (per protocol) at day 7 and at day 30, respectively. The PA rate at day 7 was found to be 64.5% (111/172; 95% CI 56% to 72%), and the PA rate at day 30 was found to be 55.8% (72/129; 95% CI 45% to 65%). Within the 7-day abstinence period, 60.4% (67/111) of the participants did not have any withdrawal symptoms. The most common mild withdrawal symptoms were mild sleep disturbance (21/111, 18.9%), mild digestive changes (19/111, 17.1%), and coughing (17/111, 15.3%). Severe withdrawal symptoms were rare, with only 5.4% (6/111) experiencing them. For those achieving 30-day postprogram abstinence, 85% (61/72) had no mild withdrawal symptoms, and 99% (71/72) had no severe withdrawal symptoms. Among successful quitters at day 7, a total of 72.1% (80/111) reported minimal to no cravings, which increased to 88% (63/72) at day 30. Furthermore, 78% (56/72) of those with PA at day 30 reported no change in weight or reduced weight. Among participants experiencing relapse, 48% (28/58) cited intense cravings, 28% (16/58) mentioned facing a tragedy, and 26% (15/58) reported relapsing due to alcohol consumption. The PA rates as a result of the QuitSure program were found to be better than those reported in the results of other smoking-cessation app programs' studies.

CONCLUSIONS

The QuitSure app yields high PA rates and ameliorates symptoms associated with smoking cessation. In order to obtain conclusive evidence regarding the effectiveness and efficacy of the QuitSure program, future research should include appropriate control measures. Nevertheless, the QuitSure program can serve as a valuable adjunct to a conventional smoking cessation treatment program to aid sustained abstinence.

Association of serum leptin and ghrelin levels with smoking status on body weight: a systematic review and meta-analysis

Background and aims

Smoking cigarettes is a major global health problem that affects appetite and weight. The aim of this systematic review was to determine how smoking affected plasma leptin and ghrelin levels.

Methods

A comprehensive search of PubMed, Scopus, Web of Science, and Ovid was conducted using a well-established methodology to gather all related publications.

Results

A total of 40 studies were included in the analysis of 11,336 patients. The overall effect showed a with a mean difference (MD) of -1.92[95%CI; -2.63: -1.20] and p = 0.00001. Subgroup analysis by study design revealed significant differences as well, but with high heterogeneity within the subgroups (I2 of 82.3%). Subgroup by sex showed that there was a significant difference in mean difference between the smoking and non-smoking groups for males (MD = -5.75[95% CI; -8.73: -2.77], p = 0.0002) but not for females (MD = -3.04[95% CI; -6.6:0.54], p = 0.10). Healthy, pregnant, diabetic and CVD subgroups found significant differences in the healthy (MD = -1.74[95% CI; -03.13: -0.35], p = 0.01) and diabetic (MD = -7.69[95% CI, -1.64: -0.73], p = 0.03). subgroups, but not in the pregnant or cardiovascular disease subgroups. On the other hand, the meta-analysis found no statistically significant difference in Ghrelin serum concentration between smokers and non-smokers (MD = 0.52[95% CI, -0.60:1.63], p = 0.36) and observed heterogeneity in the studies (I2 = 68%).

Conclusion

This study demonstrates a correlation between smoking and serum leptin/ghrelin levels, which explains smoking's effect on body weight.

Systematic review registration

https://www.crd.york.ac.uk/ prospero/display_record.php, identifier (Record ID=326680).

Unhealthy Dietary Patterns and Their Associations with Sociodemographic Factors as Predictors among Underweight and Overweight Adolescents in Southern Thailand

(1) Background: Adolescence is a critical developmental phase; dietary intake and nutritional status significantly impact health outcomes. (2) Objective: This cross-sectional study investigated dietary patterns (DPs) and the association between sociodemographic factors and unhealthy DPs among adolescents in Thailand. (3) Methods: A multi-stage sampling selected 1480 participants from three public high schools in Nakhon Si Thammarat province. A food frequency questionnaire assessed dietary habits, and principal component analysis was used to identify DPs. Multinomial logistic regression examined the association between sociodemographic factors and DPs. (4) Results: The findings show that 25.9% of adolescents were underweight, 14.7% were overweight, and 5.8% were obese. Three DPs were identified: a healthy 'protein and vegetables' pattern and two unhealthy patterns: 'snacks' and 'processed foods', which explained 12.49%, 10.37%, and 7.07% of the dietary variance, respectively. Among underweight adolescents, higher snack consumption was associated with being younger (odds ratio (OR) = 3.24) and receiving a higher daily allowance (OR = 3.43). Additionally, female adolescents who engaged in frequent exercise had a 2.15 times higher intake of processed foods. Among overweight adolescents, higher snack intake was linked to being younger (OR = 8.65) and having larger families (OR = 6.37). Moreover, an increased daily allowance was associated with higher consumption of processed foods (OR = 11.47). (5) Conclusion: This study underscores the socio-demographic influence on unhealthy DPs. Insights can guide targeted interventions to foster healthier dietary habits during adolescence.

Effects of night eating and binge eating disorders on general health in university students in Lebanon

BACKGROUND

Eating disorders (EDs) have an important impact on both physical and mental wellbeing, especially in a young population. There is a lack in research about EDs in the Middle East, and especially in Lebanon, where the co-occurring obesity is a widespread health problem.

AIM

Our study aims to assess the relation between night eating syndrome (NES) with binge eating disease (BED) and obesity (BMI) on one hand, and between NES and general health on the other hand, in university students.

MATERIALS AND METHODS

An observational cross-sectional study was conducted on 460 university students in Lebanon. Data collection was carried out using an online questionnaire. Socio-demographic and general health characteristics, BMI, Arabic validated General Health Questionnaire (GHQ-12), Arabic validated Binge Eating Scale (BES) and the Night Eating Diagnostic Questionnaire (NEDQ). Statistical analysis was accomplished on SPSS.

RESULTS

Participants having highest income showed highest NEDQ score. Females and participants with a history of eating disorders were more likely to have BED. A significant correlation was also found between having an ED history and negative impact on general health. BMI was correlated with both NEDQ and BES. Having NES was associated with also having BED. Furthermore, those with NES showed higher scores regarding GHQ-12.

CONCLUSION

Relatively high prevalence of NES and BED was noted in university students in Lebanon. This was correlated to a household income, general health, and BMI. The repercussion on both physical and mental morbidities highlights the importance for stepping up of the Lebanese organizational system to perform periodic screening.

Intention to lose weight and use of electronic cigarettes among adolescents

Electronic cigarette use among American adolescents is a major public health concern given the negative health consequences of nicotine in youth. Recent literature has shown that weight control may be one motivation for use in this population. This study examined associations between intention to lose weight and e-cigarette use among adolescents having overweight or obesity from an ethnically diverse sample of Texas youth by gender. We performed a cross-sectional analysis of a state representative sample of 9056 eighth and eleventh grade students from the 2015-2016 Texas School Physical Activity and Nutrition (Texas SPAN) study. Validated survey items assessed weight intentions and e-cigarette use. Staff collected anthropometric measures. Logistic regression analysis was conducted to assess the relationship between e-cigarette use and weight intentions with gender interaction, adjusting for grade, race/ethnicity, economic status, weight-behaviors and stratified by BMI class. More than half (50.9%) of the weighted sample were Hispanic and 12.5% were Non-Hispanic Black; 8.5% used e-cigarettes; and 50.0% intended to lose weight. Of the 40.2% of the sample having overweight or obesity, 82.9% intended to lose weight. Among respondents with obesity, use of e-cigarettes was significantly higher among males intending to lose weight than among females intending to lose weight (12% versus 6%, p = 0.007). These findings contrast with previous research suggesting that e-cigarette use in females is more likely to be motivated by an intent to lose weight. The ethnic diversity of the Texas SPAN population may explain this discrepancy.

Body esteem, weight-control outcome expectancies, and e-cigarette use among young adults

INTRODUCTION

Evidence is still scarce regarding the use of e-cigarettes by young people for weight-control reasons. This study aimed to test a model in which the prospective association between negative body esteem and e-cigarette use is mediated by weight-control outcome expectancies for e-cigarette use. The model was tested across genders.

METHODS

Data were collected at three time points, 6 months apart, from 2327 young adults (mean age = 21.2; SD = 2.2; 54% women). Self-reported data were collected on demographics, body mass index, body esteem, weight-control outcome expectancies for e-cigarette use, and current e-cigarette use and cigarette smoking.

RESULTS

Among women, we found a significant indirect effect of lower body esteem on higher likelihood of current e-cigarette use 1 year later, mediated by higher weight-control outcome expectancies at 6-month follow-up, adjusting for demographics, body mass index, and baseline e-cigarette use and cigarette smoking. Among men, body esteem was not found to have significant effect on either weight-control expectancies or e-cigarette use.

CONCLUSIONS

Based on the current findings, young adult women who have higher negative body esteem are at increased risk for using e-cigarettes for weight-control motives.

IMPLICATIONS

The current findings are some of the first to show prospective associations among weight-control motives and e-cigarette use among young adults. These findings suggest that a group of vulnerable young women may be using e-cigarettes to lose or control weight. More research is needed to understand their choice of flavors, nicotine concentration, and device type. In addition, research is needed to understand whether e-cigarettes are being marketed, directly or indirectly, as being useful for weight loss or control. There may be a need for health promotion strategies that provide healthier alternatives to young women struggling with low body esteem who use e-cigarettes for weight loss or control.

Obesity is associated with lack of access to dental care and physical activity among older adults: a cross-sectional study

OBJECTIVE: This study evaluated the prevalence of obesity and associated factors among older adults. METHODS: This was a household-based cross-sectional study involving 282 individuals aged ≥ 60 years recruited in the city of Veranópolis, Brazil, using random probabilistic sampling. Participants underwent a clinical oral examination and completed a structured questionnaire. Obesity was determined based on body mass index (BMI). Individuals were divided into two groups based on the presence (BMI ≥ 30 kg/m2) or absence of obesity (BMI < 30 kg/m2). Uni- and multivariate analyses were performed using Poisson regression with robust variance. RESULTS: The prevalence of obesity was 34% (n = 96). Each 1-year increase in age resulted in a 3.09% decrease in the likelihood of being classified as having obesity (prevalence ratio [PR] = 0.969; 95% confidence interval [95%CI] 0.949 – 0.989). Older adults that reported walking < 5 or ≥ 5 times per week were 39.65 and 37.20% less likely to be classified as obese. The PRs of obesity in former and non-smokers were 4.40 and 5 times higher, respectively, than in current smokers (p < 0.05). Older adults with no access to dental care were 51.72% (p = 0.013) more likely to present with obesity. CONCLUSIONS: There was a high prevalence of obesity among older adults. Obesity was associated with lower age, smoking status, no access to dental care, and a lack of physical activity.

Use of Tobacco for Weight Control across Products among Young Adults in the U.S. Military

BACKGROUND

Approximately 17% of young adults currently use tobacco, most commonly cigarettes and/or electronic cigarettes (e-cigarettes), followed by other products (i.e., cigarillos, pipe/hookah, smokeless tobacco). Cigarettes have been historically used to control weight. Little is known about use of non-cigarette products for weight control, particularly among non-college young adults. Tobacco use in the military is higher than civilians, and personnel have increased motivation for weight control due to military fitness standards. This population might be vulnerable to use tobacco for this purpose. Purpose: Exploring prevalence, as well as demographic and behavioral correlates, of using tobacco products for weight control, among a large, diverse sample of military young adults. Methods: U.S. Air Force recruits (N = 24,543) completed a questionnaire about tobacco use. Among users of tobacco products, recruits reported if they had ever used that product to maintain their weight. Results: Smokeless tobacco was most commonly used for weight control (12.2%), followed by cigarettes (7.3%), e-cigarettes (5.5%), cigarillos (3.3%), and hookah/pipe (3.2%). Using tobacco for weight control was associated with fewer harm beliefs and more regular use of that product. Among e-cigarette users, having a higher BMI and a lower educational background was associated with ever using this product for weight control. Conclusions: The belief that a tobacco product helps control one's weight might increase the prevalence, and frequency of use, of that product among military young adults. Tobacco cessation programs should assess for this motivation of use and provide education about tobacco harm and alternative strategies for weight maintenance.

Pilot feasibility trial of dual contingency management for cigarette smoking cessation and weight maintenance among weight-concerned female smokers

Many women who smoke cigarettes report that concern about weight gain is a barrier to quitting. Indeed, most quitters gain weight and some attribute relapses to weight gain concern. Contingency management (CM), which refers to reinforcing a target behavior with financial incentives, has been demonstrated effective for promoting smoking abstinence and weight management independently. We conducted a pilot trial to establish the feasibility of dual CM, in which both smoking cessation and weight maintenance were incentivized, as a smoking cessation intervention for female weight-concerned smokers. Participants (N = 10) received a 12-week intervention during which they earned financial incentives for smoking abstinence, verified by breath carbon monoxide (CO) testing, and for maintaining their weight (larger incentives for gaining less than five pounds, smaller incentives for 5-10 pound gain) while abstaining from smoking. They attended an end of intervention visit at week 13 and a follow-up visit at week 26. Total compensation was up to $550 ($255 for participation independent of smoking and weight, $145 for smoking abstinence incentives, and $150 for weight maintenance incentives). Results indicated that five of the 10 participants (50%) were continuously abstinent for at least 4 weeks and received at least 2 weight maintenance incentives. Three participants (33%) were abstinent at every visit they attended from quit date through week 26; 2 of these 3 had gained more than 10 pounds by week 26. Additional formative research to test alternative incentive schedules and modalities should be conducted before CM-W is evaluated in a larger trial. (PsycInfo Database Record (c) 2020 APA, all rights reserved).