Associations between trying to control weight, weight control behaviors and current electronic cigarette usage in middle and high school students: A cross-sectional study in Zhejiang Province, China

Systematic review on e-cigarette and its effects on weight gain and adipocytes

Smoking and obesity are leading causes of morbidity and mortality worldwide. E-cigarette which was first introduced in 2000s is perceived as an effective alternative to conventional tobacco smoking. Limited knowledge is available regarding the risks and benefits of e-cigarettes. This study systematically reviews the current literature on the effects of e-cigarettes on body weight changes and adipocytes. The search was performed using OVID Medline and Scopus databases and studies meeting the inclusion criteria were independently assessed. This review included all English language, empirical quantitative and qualitative papers that investigated the effects of e-cigarettes on bodyweight or lipid accumulation or adipocytes. Literature searches identified 4965 references. After removing duplicates and screening for eligibility, thirteen references which involve human, in vivo and in vitro studies were reviewed and appraised. High prevalence of e-cigarette was reported in majority of the cross sectional studies conducted among respondent who are obese or overweight. More conclusive findings were identified in in vivo studies with e-cigarette causing weight decrease. However, these observations were not supported by in vitro data. Hence, the effect of e-cigarette on body weight changes warrants further investigations. Well-designed population and molecular studies are needed to further elucidate the role of e-cigarettes in obesity.

E-Cigarette Dependence and Weight-Related Attitudes/Behaviors Associated With Eating Disorders in Adolescent Girls

Background: Although numerous motivations for vaping have been identified in adolescents, no study to date has examined a possible link between vaping and attitudes/behaviors that are associated with eating disorders in adolescent females. Examining this question in adolescent females is especially relevant given the higher prevalence of eating disorders in adolescent girls and women compared to adolescent boys and men. Methods: We recruited 299 girls (between 13 to 17 years old) via Facebook advertisement to complete a REDCap survey, which included the Electronic Cigarette Dependence Index (ECDI), Minnesota Eating Behavior Survey (MEBS), and demographic questions. Data were analyzed using nonparametric Spearman rank correlation test in R. Results: Electronic Cigarette Dependence Index (ECDI) scores were correlated with weight preoccupation (WP), binge eating (BE) and compensatory behavior (CB), but not body dissatisfaction (BD). The following were the results of Spearman correlation tests: (1) WP: rho = 0.13, p = 0.02; (2) BD: rho = 0.06, p = 0.28; (3) BE: rho = 0.15, p = 0.0095; (4) CB: rho = 0.021, p = 0.00027. Conclusion: The present study adds to the current literature examining motivations for e-cigarette use in adolescent girls. As eating disorders and e-cigarette dependence are significant public health concerns, our results highlight the need for intervention development.

Awareness and use of e-cigarettes among university students in Shanghai, China

INTRODUCTION

The use of electronic cigarettes (e-cigarettes) in adults is increasing globally, and similar trends may be observed in the young population. Our objective was to estimate the awareness and use of e-cigarettes among the students from two comprehensive universities in Shanghai, China, and to identify the factors that may influence their decision to use e-cigarettes and their possible adverse effects.

METHODS

An online cross-sectional survey was conducted among the students of Shanghai Jiao Tong University and Fudan University. A total of 869 students (412 males and 457 females), mean age 21.09 years (SD=2.44), were recruited in 2018. Multivariate binary logistic regression analyses were performed to explore the associations between ever e-cigarette use and influencing factors.

RESULTS

Of the responding students, 88.4% were aware of e-cigarettes, 4.6% had used e-cigarettes at least once in their lifetime, and 1.7% were current e-cigarettes users. Males and smokers were more likely to use e-cigarettes (ever used e-cigarettes even once) than females (OR=3.51; 95% CI: 1.69–7.27; p=0.001) and non-smokers (OR=28.58; 95% CI: 14.03–58.20; p<0.001). University students were easily motivated to use e-cigarettes when their peers also used them, and the risk ratio was 4.15 (95% CI: 2.11–8.19) compared with if their peers never used e-cigarettes. The major factors found to motivate university students to use e-cigarettes were the belief that e-cigarettes were less harmful or not harmful (55.0%) and the perception that e-cigarettes were helpful to quit smoking (37.5%). The survey also indicated that 72.4% of the respondents heard about e-cigarettes from television advertisements, 42.7% from websites online, and 41.2% from their parents and friends.

CONCLUSIONS

University students who were males, cigarette smokers and whose peers used e-cigarettes were more likely to use e-cigarettes. The use of traditional cigarettes should be controlled strictly in order to reduce the likelihood of e-cigarette use among university students.