User-Perceived Negative Respiratory Symptoms Associated with Electronic Cigarette Use.

INTRODUCTION: Electronic cigarettes (ECIGs) expose users to an aerosol containing chemicals, which could affect the respiratory system negatively. This study examined negative respiratory symptoms associated with ECIG use. METHODS: In 2019, adult current ECIG users from 24 US states who reported experiencing negative respiratory symptoms from ECIG use (n = 49; 44.9% women; mean age = 35.2, SD = 11.5) completed an online survey and brainstormed statements that completed the prompt: "A specific negative effect or symptom related to my breathing, nose, mouth, throat, or lungs that I have experienced from vaping/using my e-cigarette is..." Participants sorted the final list of 56 statements into groups of similar content and rated statements on how true they were for them. Multidimensional scaling analysis identified thematic clusters. RESULTS: Eight ECIG use respiratory symptom clusters identified in analysis included Mucus and Congestion, Fatigue, Throat Symptoms, Breathing Problems, Mouth Symptoms, Chest Symptoms, Illness Symptoms, and Nose and Sinus Symptoms. Highly rated (ie, most common) symptoms included dry throat or mouth, fatigue during physical activity, coughing, shortness of breath, excessive phlegm, and bad taste in mouth. Mean cluster ratings did not differ based on lifetime cigarette smoking status (100 lifetime cigarettes smoked), but current cigarette smokers (ie, dual users) rated the Fatigue, Breathing Problems, Mucus and Congestion, and Nose and Sinus Symptoms clusters higher than noncurrent cigarette smokers. CONCLUSIONS: Participant-identified respiratory symptoms perceived to be ECIG related, many similar to cigarette smoking symptoms. Future research should assess if these symptoms are associated with other negative health outcomes. IMPLICATIONS: ECIG use exposes users to chemicals that may have negative health impacts on the respiratory system. Limited research has examined the broad range of negative respiratory symptoms associated with e-cigarette use. This study identified that ECIG-cigarette users perceive their ECIG use to be associated with negative respiratory symptoms. Many e-cigarette user-reported negative respiratory symptoms are similar to those associated with cigarette smoking, though some appear unique to e-cigarette use. Future research should continue to monitor respiratory symptoms reported by ECIG users and whether these are associated with health outcomes over time.

Cigarette, waterpipe, and electronic cigarette use among college fraternity and sorority members and athletes in the United States.

OBJECTIVE: To examine the association between fraternity/sorority membership and athlete status with tobacco use by tobacco product type. Participants: Undergraduate college students who participated in the Spring 2017 National College Health Assessment-II Survey (n = 47,821). Methods: Prevalence of current (past-30 day) cigarette smoking, waterpipe tobacco smoking (WTS), and e-cigarette (ECIG) use was examined. Logistic regressions examined associations between fraternity/sorority membership and participation in collegiate athletics with tobacco use. Results: Fraternity/sorority members had the highest current use rates for cigarettes, waterpipe tobacco, and ECIGs and were nearly twice as likely to report cigarette smoking, WTS, and ECIG use relative to non-fraternity/sorority members. Relative to non-varsity athletes, varsity athletes were less likely to report cigarette smoking and WTS, but not ECIG use. Conclusions: Fraternity/sorority members appear to be at risk for use of multiple tobacco products. Varsity athlete status may be protective for some tobacco products, but does not appear no for ECIG use. ECIGs may appeal to groups typically at low risk for other tobacco products.

"I cannot live without my vape": Electronic cigarette user-identified indicators of vaping dependence.

BACKGROUND: Limited research has examined indicators of electronic cigarette (ECIG) dependence. Researchers have adapted ECIG dependence measures from cigarette smoking dependence measures, but few have examined unique aspects of ECIG dependence. This study used concept mapping, a mixed-methods approach to examine ECIG user-identified indicators of ECIG dependence. METHODS: In 2019, we recruited current ECIG users (n = 75; 52.9 % women; mean age = 33.2, SD = 9.9) from 25 states to complete an online study. Participants completed a brief survey and brainstormed statements (n = 216) completing the prompt: "Something specific that makes me think I am addicted to using my electronic cigarette/vaping device is…" After duplicate content was removed, participants sorted the final list of 93 statements by content similarity and rated statements on how true statements were for them (1 - Definitely NOT true to 7 - Definitely true). Multidimensional scaling analysis identified ECIG dependence thematic clusters. RESULTS: We identified ten themes: Craving, Negative Affect, Vaping as a Necessity, Therapeutic Effects, Preparedness, Attachment to Device, Impact on Daily Activity, Physical Withdrawal Symptoms, Monetary Cost, and Shame or Embarrassment. Those who had higher ECIG dependence scores and those who reported more frequent ECIG use had higher mean cluster ratings than those with lower ECIG dependence scores and who reported less frequent ECIG use. (ps<.05). CONCLUSIONS: ECIG dependence has similarities to cigarette smoking dependence, but dependence indicators appear to be unique to ECIG use. Health professionals and the public should be aware of ECIG dependence risk and indicators.