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

Prevalence of Obesity Among Electronic Cigarette and Tobacco Users in the United States: Results from the 2018 Wave of the Behavioral Risk Factor Surveillance System

Objective: Tobacco use and obesity are leading causes of preventable death in the U.S. E-cigarette use is on the rise; however, obesity prevalence among e-cigarette users is unknown. The present study characterized obesity prevalence among e-cigarette and tobacco users in a national sample of U.S. adults. Method: Data were obtained from the 2018 Behavioral Risk Factor Surveillance System. Approximately 249,726 participants provided data on e-cigarette and tobacco use, height, weight, and demographics, and were categorized as follows: Ever vaped, ever smoked; Ever vaped, never smoked; Never vaped, ever smoked; Never vaped, never smoked. Results: Obesity prevalence (BMI ≥30 kg/m2) differed significantly across groups: 33.0% (ever vaped, ever smoked); 27.7% (ever vaped, never smoked); 33.1% (never vaped, ever smoked); 32.1% (never vaped, never smoked), p < .001. Groups also differed demographically. Logistic regressions adjusted for demographics revealed subjects in the never vaped, ever smoked group were significantly more likely to have obesity relative to those in the never vaped, never smoked group (p < 0.001) with vaping status having no main effect. Secondary analyses using never smokers as the reference found current smokers were less likely to have obesity and former smokers were more likely to have obesity, p < .001. Discussion: The present study is the first to characterize U.S. obesity prevalence among e-cigarette and tobacco users. Obesity prevalence was lower in the ever vaped, never smoked group; however, this finding appears to be attributable to demographic variables. As e-cigarette use becomes more common, future research should examine the development and maintenance of obesity among users.

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.

Comorbidity between body dissatisfaction and nicotine vaping among young adults in college: a daily diary study

Objective: The purpose of this study was to elucidate comorbidity between body dissatisfaction and nicotine vaping. Participants: Participants were 121 college students (M age = 20.51 years; 75.0% female; 75.2% White) who participated in a 14-day daily diary study. Methods: Logistic regression was used to test links between baseline trait body dissatisfaction and vaping frequency across 14 days. Multilevel logistic regression was used to test within-person, daily links between body dissatisfaction and nicotine vaping. Results: Each additional unit of trait body dissatisfaction increased the odds of frequent vaping by 33% (95% CI [1.00, 1.77]) and daily vaping by 54% (95% CI [1.10, 2.15]). Within-person, daily associations between body dissatisfaction and vaping were nonsignificant. Conclusions: Body dissatisfaction may increase college students' risk for engaging in frequent nicotine vaping. However, daily changes in body dissatisfaction may not predict same- or next-day vaping. College students with body dissatisfaction may benefit from nicotine interventions.

E-cigarette weight and appetite control beliefs and e-cigarette initiation in young adults

E-cigarette use has increased among young adults, and emerging research suggests a subset of young adults report using e-cigarettes for appetite control/weight loss. The current article examined the association of e-cigarette weight control beliefs with subsequent e-cigarette initiation. Data were collected via online surveys from a prospective cohort study of young adults in Southern California (N = 1,368) at baseline (May-October 2020; M [SD]age = 21.2 [0.4]) and 6 months later (January-May 2021). Binary logistic regression models were used to evaluate the association of e-cigarette weight control beliefs (i.e., perceptions that e-cigarettes help people lose weight and satisfy hunger and desire to eat unhealthy foods) with new onset e-cigarette use at follow-up. All models were adjusted for sociodemographic characteristics. Among individuals who had never used e-cigarettes at baseline, those who agreed (vs. disagreed) that e-cigarettes help people lose weight had more than three times the odds of initiating e-cigarette use by follow-up (OR [95% CI]: 3.24 [1.52, 6.62]). Similarly, those who agreed (vs. disagreed) that vaping certain e-cigarette flavors help satisfy hunger and desire to eat unhealthy foods had more than twice the odds of initiating e-cigarette use by follow-up (OR [95% CI]: 2.40 [1.15, 4.82]). Findings highlight that e-cigarette weight control beliefs are an important risk factor for vaping initiation. Future interventions and policies aiming to prevent vaping among young adults should address e-cigarette weight control beliefs and long-term health consequences from related use. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Measuring vaping-related expectancies in young adults: Psychometric evaluation of the Electronic Nicotine Vaping Outcomes (ENVO) scale

OBJECTIVE

Electronic cigarettes are the most commonly used tobacco products by young adults. Measures of beliefs about outcomes of use (i.e., expectancies) can be helpful in predicting use, as well as informing and evaluating interventions to impact use.

METHODS

We surveyed young adult students (N = 2296, Mean age=20.0, SD=1.8, 64 % female, 34 % White) from a community college, a historically black university, and a state university. Students answered ENDS expectancy items derived from focus groups and expert panel refinement using Delphi methods. Factor Analysis and Item Response Theory (IRT) methods were used to understand relevant factors and identify useful items.

RESULTS

A 5-factor solution [Positive Reinforcement (consists of Stimulation, Sensorimotor, and Taste subthemes, α = .92), Negative Consequences (Health Risks and Stigma, α = .94), Negative Affect Reduction (α = .95), Weight Control (α = .92), and Addiction (α = .87)] fit the data well (CFI=0.95; TLI=0.94; RMSEA=0.05) and was invariant across subgroups. Factors were significantly correlated with relevant vaping measures, including vaping susceptibility and lifetime vaping. Hierarchical linear regression demonstrated factors were significant predictors of lifetime vaping after controlling for demographics, vaping ad exposure, and peer/family vaping. IRT analyses indicated that individual items tended to be related to their underlying constructs (a parameters ranged from 1.26 to 3.18) and covered a relatively wide range of the expectancies continuum (b parameters ranged from -0.72 to 2.47).

CONCLUSIONS

A novel ENDS expectancy measure appears to be a reliable measure for young adults with promising results in the domains of concurrent validity, incremental validity, and IRT characteristics. This tool may be helpful in predicting use and informing future interventions.

IMPLICATIONS

Findings provide support for the future development of computerized adaptive testing of vaping beliefs. Expectancies appear to play a role in vaping similar to smoking and other substance use. Public health messaging should target expectancies to modify young adult vaping behavior.

The developmental course of the link between weight concerns and cigarette use across adolescence: Differences by gender

OBJECTIVE

This study aimed to illuminate developmental changes and gender differences in the link between weight concerns and cigarette use across adolescence. Specifically, we examined whether and how the strength of the association between weight concerns and cigarette use changed across adolescence, and whether patterns of association differed between boys and girls.

METHOD

Participants were 397 predominately White adolescents ages 11-18 years (50.5% female) from a longitudinal observational study conducted in the United States.

RESULTS

Time-varying effect modeling revealed that even after adjusting for BMI, the association between weight concerns and cigarette use was positive and significant for girls from age 11.3 to 15.9, with the strongest association at 12.7 years. For boys, this association was non-significant throughout adolescence.

DISCUSSION

Results suggest a sensitive period in early- to mid-adolescence during which girls with weight concerns may be at heightened risk for cigarette use. Findings have implications for the developmental timing of interventions to prevent cigarette use and weight concerns and suggest that tailored interventions for girls may be warranted.

Social media's influence on e-cigarette use onset and escalation among young adults: What beliefs mediate the effects?

As an extension of a previous cross-sectional study, this study employed prospective data to test positive outcome expectancy beliefs as mediators of social media's influence on e-cigarette use progression among young adults. Self-report data were collected from 2327 young adult college students (Mean age = 21.2; SD = 2.1; 54% women) between 2017 and 2019, every 6-month, at 3 time-points. Structural equation modeling was used to test the mediational models. Among baseline never e-cigarette users, higher affect regulation expectancies-e.g., beliefs that e-cigarette use results in feeling good, reduced boredom and stress-mediated the effects of higher baseline social media e-cigarette exposure on e-cigarette use onset one year later. Among baseline lifetime e-cigarette users, higher positive sensory, positive "smoking" experience, and affect regulation expectancy beliefs mediated the effects of higher social media e-cigarette exposure at baseline on increased current e-cigarette use one year later. E-cigarette content on social media may persuade young adults to try e-cigarettes by imparting the sense that e-cigarettes make one feel good and help reduce stress. E-cigarette content on social media that promote e-cigarette flavors and e-cigarettes as cleaner and a socially more acceptable alternative to cigarettes may work to escalate e-cigarette use among experimenters. Efforts to prevent e-cigarette use onset and escalation may need to target the outcome expectancy beliefs influenced by social media.

Nicotine' actions on energy balance: Friend or foe?

Obesity has reached pandemic proportions and is associated with severe comorbidities, such as type 2 diabetes mellitus, hepatic and cardiovascular diseases, and certain cancer types. However, the therapeutic options to treat obesity are limited. Extensive epidemiological studies have shown a strong relationship between smoking and body weight, with non-smokers weighing more than smokers at any age. Increased body weight after smoking cessation is a major factor that interferes with their attempts to quit smoking. Numerous controlled studies in both humans and rodents have reported that nicotine, the main bioactive component of tobacco, exerts a marked anorectic action. Furthermore, nicotine is also known to modulate energy expenditure, by regulating the thermogenic activity of brown adipose tissue (BAT) and the browning of white adipose tissue (WAT), as well as glucose homeostasis. Many of these actions occur at central level, by controlling the activity of hypothalamic neuropeptide systems such as proopiomelanocortin (POMC), or energy sensors such as AMP-activated protein kinase (AMPK). However, direct impact of nicotine on metabolic tissues, such as BAT, WAT, liver and pancreas has also been described. Here, we review the actions of nicotine on energy balance. The relevance of this interaction is interesting, because considering the restricted efficiency of obesity treatments, a possible complementary approach may focus on compounds with known pharmacokinetic profile and pharmacological actions, such as nicotine or nicotinic acetylcholine receptors signaling.