Objectives The aim of this study was to determine the predisposing, enabling and reinforcing factors associated with electronic cigarette (e-cigarette) use among high school students in Jakarta, Indonesia. Methods This cross-sectional study took place in eight high schools in Jakarta, Indonesia. A total of 767 students were recruited by multistage cluster random sampling. Bivariate and multivariate statistical analyses were employed to determine the associations between socio-demographic, predisposing, reinforcing and enabling factors and e-cigarette use. Results Respondents were 54.1% male and the mean age was 16 years old [standard deviation (SD): 1.02]. In this sample, 32.2% of students (n = 247) had ever used e-cigarettes and 11.8% of students were e-cigarette users (n = 90). Several measured factors were positively associated with e-cigarette use, including: current smoking of conventional cigarettes [odds ratio (OR): 2.06]; perception that e-cigarettes are less addictive than conventional cigarettes (OR: 1.98); perception that e-cigarettes do not cause cancer (OR: 2.38); parental acceptance of e-cigarette use (OR: 3.80); and having enough money to buy e-cigarettes (OR: 3.24). The only variable found that was negatively associated with e-cigarette use was teacher’s use of e-cigarettes (OR: 0.34). Conclusions This study found that student social influences, perceptions about and accessibility to e-cigarettes were significantly positively associated with e-cigarette use among high school students in Jakarta, Indonesia. This study highlights the importance of educating students, their parents and teachers regarding safety and potential health hazards of using e-cigarettes. Efforts to implement and enforce youth access restrictions on e-cigarettes in Indonesia are crucial to preventing further uptake of these products.
Little is known about differences between adolescents’ and adults’ exposure to e-cigarette advertising in various media channels, such as retail establishments, print, television, radio, and digital marketing. We examined the exposure to e-cigarette advertising in these channels amongst adolescents (13–17), young adults (18–25), and older adults (26+). Adolescents (N = 1124), young adults (N = 809), and adults (N = 4186) were recruited through two nationally representative phone surveys from 2014–2015. Lifetime e-cigarette advertising exposure was prevalent (84.5%). Overall, older adult males and older adult cigarette smokers reported the highest exposure to e-cigarette advertising (p < 0.001). Television was the largest source of exposure for all age groups. Adolescents and young adults had higher odds than older adults of exposure through television and digital marketing. However, adolescents had lower odds than young adults and older adults of exposure through retailers and print media. Although e-cigarette advertising appears to be reaching the intended audience of adult smokers, vulnerable populations are being exposed at high rates via television and digital marketing. Regulations aimed at curbing exposure through these media channels are needed, as are counter advertising and prevention campaigns.
Vape shops represent a new type of retailer for tobacco products. Vape shops have potential to promote e-cigarettes for smoking cessation but also sometimes provide inaccurate information and mislabelled products. Given their spatial patterning, vape shops may perpetuate inequities in tobacco use. The growing literature on vape shops is complicated by researchers using different definitions of vape shops (eg, exclusively selling e-cigarettes vs also selling traditional tobacco products).
Exposing people to a new policy through implementation could increase public support for that policy by increasing perceived effectiveness and by prompting conversations about the policy. Reactance may partially weaken the effect of policy exposure on public support.
Adolescents and young adults smoke waterpipe tobacco (WT) and cigarillos, at least in part, based on erroneous beliefs that these products are safer than cigarettes. To address this challenge, we used a systematic, three-phase process to develop a health communication campaign to discourage WT and cigarillo smoking among at-risk (tobacco users and susceptible non-users) 16- to 25-year-olds. In Phase 1, we used a national phone survey (N = 896) to determine salient message beliefs. Participants reported constituents (i.e., harmful chemicals) emitted by the products were worrisome. In Phase 2, we developed and evaluated four message executions, with varying imagery, tone, and unappealing products with the same constituents, using focus groups (N = 38). Participants rated one execution highly, resulting in our development of a campaign where each message: (1) identified a tobacco product and constituent in the smoke; (2) included an image of an unappealing product containing the constituent (e.g., pesticides, gasoline) to grab attention; and (3) used a humorous sarcastic tone. In Phase 3, we tested the campaign messages (17 intervention and six control) with a nationally representative online survey (N = 1,636). Participants rated intervention and control messages highly with few differences between them. Exposure to messages resulted in significant increases in all risk beliefs from pre to post (p< 0.05). For WT, intervention messages increased beliefs about addiction more than control messages (p < 0.05). This systematic, iterative approach resulted in messages that show promise for discouraging WT and cigarillo use.
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