Literature DB >> 36211245

Exposure to e-cigarette advertising and provaping websites, and the social acceptability of their use among nicotine users.

Inti Barrientos-Gutierrez1, Katia Gallegos-Carrillo2, Lizeth Cruz-Jimenez1, Rosibel Rodriguez-Bolaños3, Edna Arillo-Santillán3, James F Thrasher4.   

Abstract

Objectives: To evaluate the prevalence of exposure to Internet communications on and advertising of electronic cigarettes (e-cigarettes) and their association with perceptions of the social acceptability of e-cigarettes in Mexico.
Methods: Data were analyzed from eight surveys (2018-2021) of an online sample of Mexican adult (> 18 years) smokers and dual users (of combustible and electronic cigarettes). Self-reported exposure to e-cigarette advertising across various marketing channels was assessed, as well as visits to e-cigarette websites. Logistic regression analysis was used to evaluate the association between perceptions of the social acceptability of e-cigarette use and level of advertising exposure and visits to e-cigarette websites.
Results: The Internet and outside e-cigarette stores were where exposure to advertising most occurred, as reported by 47.4% and 46.8% of respondents, respectively. Respondents who noticed e-cigarette advertisements on the Internet (adjusted odds ratio (OR) 1.43, 95% confidence intervals (CI) 1.25, 1.63), outside e-cigarette stores (adjusted OR 1.31, 95% CI 1.14, 1.50), and in temporary outlets (adjusted OR 1.16, 95% CI 1.01, 1.34), and those who visited e-cigarette websites (adjusted OR 1.48, 95% CI 1.25, 1.76) were more likely to perceive e-cigarettes as socially acceptable. Noticing advertisements across more channels was also associated with higher perceived social acceptability of e-cigarette use. Conclusions: Being exposed to e-cigarette marketing, either online or through traditional marketing channels, is associated with perceived social acceptability of e-cigarette use, as is contact with provaping sites. Regulatory options to avoid the proliferation of promotional websites disguised as opinion or user sites need to be considered.

Entities:  

Keywords:  Electronic nicotine delivery systems; Mexico; advertising; marketing; vaping

Year:  2022        PMID: 36211245      PMCID: PMC9534350          DOI: 10.26633/RPSP.2022.87

Source DB:  PubMed          Journal:  Rev Panam Salud Publica        ISSN: 1020-4989


In most countries, electronic cigarettes (e-cigarettes) still comprise a relatively small segment of the nicotine market, yet e-cigarette use (referred to as vaping) has grown steadily around the world, especially among young people (1). Favorable public perceptions of these new nicotine products have been essential in expanding the e-cigarette market. While the scientific community continues to debate the potential public health impact of the availability of these devices, consumer decisions about their use often depend on information they obtain through social media (2). The impact of online information and other marketing efforts on the perceived social acceptability of these products has not been explored in low- and middle-income countries. Perceived social acceptability, defined as how much someone thinks that a behavior or product is accepted by others – especially family, friends, and peers – can influence consumers’ intentions to use these products. Previous studies have shown that perceived social acceptability is especially important among teenagers and young adults who place a great value on peer acceptance (3, 4). Traditionally, media advertising and promotions reinforce the perceived social acceptability and normalization of innovative products (5). However, since marketing of tobacco and nicotine products through traditional media has become increasingly restricted or even banned, most marketing is done through the Internet or in physical locations such as stores, bars, or events (6). As in many low- and middle-income countries, e-cigarettes are banned in Mexico but the illegal market provides relatively easy access to these products through online and physical stores as well as vending machines (7). Difficulties in enforcing regulations on these products have enabled these physical locations, online advertising, and social media influencers to promote these products as risk-free or almost risk-free, accessible, and desirable (8). In addition, provaping websites and profiles (primarily advocates of vaping but also vending sites that have information sections or blogs) often contain favorable information about these products, presented as purely informational or benefiting public health (9). This study aimed to evaluate Mexican nicotine users’ (smokers and dual users (those who smoke and use other nicotine products, especially e-cigarettes)) self-reported exposure to e-cigarette advertising in physical outlets or through the Internet, including provaping websites, as well as their associations with perceived social acceptability of e-cigarette use. Because e-cigarettes are banned in Mexico, we hypothesized that online exposure would be higher than in physical outlets. Furthermore, we hypothesized that higher exposure to advertising, as well as visiting provaping websites, would be positively associated with perceptions of e-cigarettes as socially acceptable. Our results should inform future approaches to assessing the influence of different advertising or information outlets and their impact on public perceptions, as well as regulatory efforts to target these exposures.

METHODS

Study sample and data collection

This was a cross-sectional study of an open cohort of Mexican adult smokers and/or e-cigarette users, recruited from a marketing research consumer panel, who completed online surveys on exposure to communications on and advertising of electronic cigarettes. The surveys were self-administered and eight consecutive surveys were conducted every 4 months with about 1 500 participants (November 2018, n = 1 501; March 2019, n = 1 035; July 2019, n = 799; November 2019, n = 703; March 2020, n = 631; July 2020, n = 667; November 2020, n = 684; and March 2021, n = 814). According to this design new participants were able to take part in each survey, while a proportion of them who were interested in the study were followed through all the waves of the study. We only used data from participants responding to the survey for the first time and excluded 857 participants who did not respond to the marketing part of the questionnaire; thus our final analytic sample comprised 5 977 participants. Participants had to be older than 18 years and have smoked or used e-cigarettes in the previous month. We used quotas for education (i.e., at least 500 respondents with high school or lower education) and current e-cigarette use in the previous month (at least 500 respondents), thus oversampling respondents who use e-cigarettes. Surveys were administered in Spanish using questions from the International Tobacco Control survey (10) and took about 21.49 (median) minutes to complete. Respondents provided consent before completing the survey and data from each respondent were anonymized – the survey company provided a database with only consecutive identification numbers to identify participants along the surveys. The survey company also provided a standard incentive for participation to all respondents. All study procedures were approved by the Institutional Review Board and Ethics Committee of the National Institute of Public Health of Mexico (CI 1572).

Smoking and e-cigarette use

Participants were asked to report how often they smoked cigarettes (“How often do you currently smoke cigarettes?”). All participants were current smokers (i.e., they had smoked in the previous 30 days). Data on the number of cigarettes smoked per day (CPD) were used to classify participants’ smoking frequency as: (a) non-daily smoker (reference category); (b) daily smoker, ≤ 5 CPD; and (c) daily smoker, > 5 CPD. Among daily smokers, 5 CPD is the median among Mexican smokers (11). Information on the frequency of e-cigarette use (“In a typical week, how many days do you vape?”) was combined with frequency of combustible cigarette smoking for information on the consumption of both products. Respondents who reported that they had used both combustible cigarettes and e-cigarettes in the previous 30 days were classified as dual users. A variable called e-cigarette use frequency was created with the following categories: a) only current and exclusive smoker (reference category); b) occasional dual user (1–2 days a week of e-cigarette use); and c) frequent dual user (3 days a week to every day of e-cigarette use).

Dependent variable

The perception of smokers and e-cigarette users of the social acceptability of e-cigarettes was assessed through the following question: “What do you think is the general public’s attitude towards e-cigarette use?” Responses were dichotomized to reflect positive perceptions: high disapproval, some disapproval, neither approval nor disapproval, don’t know (reference category), and some approval or high approval.

Exposure to e-cigarette marketing

Exposure to e-cigarette marketing and advertisements was measured by asking participants about the traditional channels through which they had noticed any e-cigarette advertisements in the previous 30 days: mail; pubs and bars; advertisements inside e-cigarette stores; advertisements outside e-cigarette stores; festivals, sports events, or concerts; and temporary outlets. Because of concerns about collinearity, responses to this series of questions were used to derive a summary index with four levels: no exposure (reference), one or two channels, three or four channels, and five or more channels. Participants also reported whether they had noticed marketing through online advertisements in the previous 20 days, namely: e-mail and social media (Facebook, Twitter, YouTube, Instagram, or Snapchat). These two variables were used to derive a dichotomous measure of exposure to online advertisement: no (reference category) or yes. The third measurement about e-cigarettes marketing included two questions on searching for and visiting websites with e-cigarette information online in the previous 30 days. Respondents were classified into three groups: No, I have not searched or visited websites or don’t remember (reference category); Yes, I have searched for information; and Yes, I have visited websites. These last two categories are not mutually exclusive.

Demographic variables

Participants provided information on the following demographic variables: their sex (female (reference category), male); age (18–29 years (reference category); 30–39 years; 40–49 years; 50+ years); and education (middle school or lower (reference category); high school, technical studies or some college; and university or higher). In addition, household income estimated in Mexican pesos (MXN) was categorized as: < 8 000 MXN a month (reference category); 8 001–15 000 MXN a month; 15 001–20 000 MXN a month; > 20 000 MXN a month; and I don’t know. Information about the period when the data of each participant were collected (designated as a wave of the study, with one to eight waves) was recorded.

Statistical analysis

Univariate analysis was used to determine characteristics of the study population including description of the channels through which participants reported seeing advertisements about e-cigarettes. The prevalence of exposure to advertising through each channel was estimated according to frequency of smoking and e-cigarette use (i.e., exclusive smoker; occasional dual user/1–2 days a week of e-cigarette use; and frequent dual user/3 days a week to every day of e-cigarette use). Crude and adjusted logistic regression analysis was used to evaluate the association between perceived social acceptability and exposure to online and traditional e-cigarette advertisements through each channel. Adjusted models controlled for exposure through all other channels and for smoking, e-cigarette use behavior, and sociodemographic covariates. These models were then re-estimated using the summary index with four levels of exposure, controlling for the same covariates. The associations (odds ratios (OR)) were considered statistically significant at a p-value < 0.05, with a two-tailed 95% confidence intervals (CI). Stata version 15 (StataCorp, College Station, TX, USA) was used for all the analyses.

RESULTS

The sample comprised 5 977 Mexican smokers and e-cigarette users: 51.9% were male and 36.5% were aged 18–29 years (Table 1). More than half (59.1%) of the participants had a high school/technical school/some college education and 31.5% had a university degree or higher. Just over half of the respondents (56.1%) were non-daily smokers, while 23.2% were daily smokers who smoked more than 5 CPD. A third of the participants (34.0%) were dual users; 13.2% were frequent dual users, using e-cigarettes 3 days a week to every day. With regard to the use of e-cigarettes by family and friends, 37.3% of participants’ family members and/or partners used e-cigarettes as did 23.8% of their friends.
TABLE 1.

Characteristics of smokers and e-cigarette users, Mexico, 2018–2021

Characteristic

% (n = 5 977)

Sex

  Female

48.1

  Male

51.9

Age group, in years

  18–29

36.5

  30–39

30.2

  40–49

16.7

  ≥ 50

16.6

Education

  University or higher

31.5

  Middle school or lower

9.4

  High school/technical school/some college

59.1

Frequency and intensity of smoking

  Non-daily

56.1

  Daily ≤ 5 cigarettes

20.7

  Daily > 5 cigarettes

23.2

Frequency and intensity of smoking/e-cigarette use

  Smoker only

66.1

  Occasional dual user/e-cigarette use 1–2 days a week

20.8

  Frequent dual user/e-cigarette use 3 days a week to every day

13.2

Use of e-cigarettes by partner/family

  No

62.7

  Yes

37.3

Use of e-cigarettes by friends

  No

76.2

  Yes

23.8

Noticed e-cigarette and e-liquid print advertising in the following place in the previous 30 days

  Mail

13.6

  Internet (social media, Facebook, Twitter, YouTube, Instagram, Snapchat)

47.4

  E-mail

14.0

  Pubs and bars

25.7

  Inside stores that sell cigarettes

37.1

  Outside stores that sell e-cigarette devices and e-liquids

46.8

  Festivals, sports events, and concerts

23.5

  Temporary outlets

30.7

Characteristic % (n = 5 977) Sex Female 48.1 Male 51.9 Age group, in years 18–29 36.5 30–39 30.2 40–49 16.7 ≥ 50 16.6 Education University or higher 31.5 Middle school or lower 9.4 High school/technical school/some college 59.1 Frequency and intensity of smoking Non-daily 56.1 Daily ≤ 5 cigarettes 20.7 Daily > 5 cigarettes 23.2 Frequency and intensity of smoking/e-cigarette use Smoker only 66.1 Occasional dual user/e-cigarette use 1–2 days a week 20.8 Frequent dual user/e-cigarette use 3 days a week to every day 13.2 Use of e-cigarettes by partner/family No 62.7 Yes 37.3 Use of e-cigarettes by friends No 76.2 Yes 23.8 Noticed e-cigarette and e-liquid print advertising in the following place in the previous 30 days Mail 13.6 Internet (social media, Facebook, Twitter, YouTube, Instagram, Snapchat) 47.4 E-mail 14.0 Pubs and bars 25.7 Inside stores that sell cigarettes 37.1 Outside stores that sell e-cigarette devices and e-liquids 46.8 Festivals, sports events, and concerts 23.5 Temporary outlets 30.7 Self-reported exposure to advertisements for e-cigarettes and e-liquids (see Table 1) was highest for the Internet (reported by 47.4% of respondents) and outside stores that sell e-cigarette devices and e-liquids (46.8% of respondents). Exposure was less common through email (14.0% of respondents) and the postal service (13.6% of respondents). The prevalence of exposure to e-cigarette advertising varied by frequency of e-cigarette use, with a higher prevalence among frequent dual users for exposure to advertisements on the Internet (72.7%) and outside the stores that sell e-cigarettes and e-liquids (73.1%) (Figure 1, panel a). Except for mail and e-mail, participants aged 18–29 years reported a higher prevalence of exposure (Figure 1, panel b). Across all advertising channels, exposure to advertisements was higher among males than females (Figure 1, panel c). When assessing the number of channels through which participants reported exposure to advertising by frequency of e-cigarette use, 44.4% of exclusive smokers reported that they had not noticed any advertisements, while only 8.8% of frequent dual users had not noticed any advertisements (Figure 2). In addition, 21.7% of frequent dual users, 10.2% of occasional dual user, and 5.1 % of exclusive smokers had noticed advertisements for these products in five or more places in the previous 30 days.
FIGURE 1.

Prevalence of exposure to e-cigarette and e-liquid advertising from different sources (n = 5 977) by a) type of smoking, b) age group, and c) sex, Mexico, 2018–2021

FIGURE 2.

Proportion of exclusive smokers, occasional dual users, and frequent dual users who noticed e-cigarette advertising, by number of places advertising was noticed (n = 5 977), Mexico, 2018–2021

Table 2 shows the results of the regression analysis of the association between perception of the social acceptability of e-cigarette use and exposure to advertisements through different channels. Overall, 32.4% of respondents perceived that the public approved of e-cigarette use.
TABLE 2.

Perception of smokers and e-cigarette users about the public’s attitude towards e-cigarettes according to exposure to advertising about e-cigarettes in different media, Mexico, 2018–2021

In the previous 30 days, have you noticed print advertising of e-cigarettes and e-liquids in the following places?

Some or high disapproval/neither approval nor disapproval/don’t know (n = 4 041, 67.6%)

Some or high approval (n = 1936, 32.4%)

 

 

n

%

%

OR (95% CI)

Adjusted OR[a] (95% CI)

Mail

  Yes (n = 811)

449

55.4

44.6

1.83 (1.58, 2.13)[**]

1.01 (0.83, 1.21)

Internet (social media, Facebook, Twitter, YouTube, Instagram or Snapchat)

  Yes (n = 2 831)

1 673

59.1

40.9

2.10 (1.88, 2.35)[**]

1.43 (1.25, 1.63)[**]

E-mail

  Yes (n = 838)

467

55.7

44.3

1.81 (1.56, 2.10)[**]

1.03 (0.85, 1.24)

Pubs and bars

  Yes (n = 1 536)

885

57.6

42.4

1.80 (1.60, 2.03)[**]

1.13 (0.98, 1.31)

Inside stores that sell cigarettes

  Yes (n = 2 219)

1 329

59.9

40.1

1.73 (1.55, 1.93)[**]

1.05 (0.92, 1.21)

Outside stores that sell e-cigarette devices and e-liquids

  Yes (n = 2 798)

1 654

59.1

40.9

2.08 (1.86,2.32)[**]

1.31 (1.14, 1.50)[**]

Festival, sports events, and concerts

  Yes (n = 1 407)

816

58.0

42.0

1.73 (1.53, 1.96)[**]

1.10 (0.95, 1.28)

Temporary outlets

  Yes (n = 1 834)

1 080

58.9

41.1

1.74 (1.55, 1.96)[**]

1.16 (1.01, 1.34)[*]

Adjusted for all variables in the table and sex, age, education, smoking and vaping frequency, use of e-cigarettes by partner, family and friends, and wave.

p < 0.05,

p < 0.001.

In the previous 30 days, have you noticed print advertising of e-cigarettes and e-liquids in the following places? Some or high disapproval/neither approval nor disapproval/don’t know (n = 4 041, 67.6%) Some or high approval (n = 1936, 32.4%) n % % OR (95% CI) Adjusted OR[a] (95% CI) Mail Yes (n = 811) 449 55.4 44.6 1.83 (1.58, 2.13)[**] 1.01 (0.83, 1.21) Internet (social media, Facebook, Twitter, YouTube, Instagram or Snapchat) Yes (n = 2 831) 1 673 59.1 40.9 2.10 (1.88, 2.35)[**] 1.43 (1.25, 1.63)[**] E-mail Yes (n = 838) 467 55.7 44.3 1.81 (1.56, 2.10)[**] 1.03 (0.85, 1.24) Pubs and bars Yes (n = 1 536) 885 57.6 42.4 1.80 (1.60, 2.03)[**] 1.13 (0.98, 1.31) Inside stores that sell cigarettes Yes (n = 2 219) 1 329 59.9 40.1 1.73 (1.55, 1.93)[**] 1.05 (0.92, 1.21) Outside stores that sell e-cigarette devices and e-liquids Yes (n = 2 798) 1 654 59.1 40.9 2.08 (1.86,2.32)[**] 1.31 (1.14, 1.50)[**] Festival, sports events, and concerts Yes (n = 1 407) 816 58.0 42.0 1.73 (1.53, 1.96)[**] 1.10 (0.95, 1.28) Temporary outlets Yes (n = 1 834) 1 080 58.9 41.1 1.74 (1.55, 1.96)[**] 1.16 (1.01, 1.34)[*] Adjusted for all variables in the table and sex, age, education, smoking and vaping frequency, use of e-cigarettes by partner, family and friends, and wave. p < 0.05, p < 0.001. Perception of the social acceptability of e-cigarettes was significantly higher among participants who noticed advertisements about e-cigarettes and e-liquids on the Internet (adjusted OR yes vs no 1.43, 95% CI 1.25, 1.63), outside stores that sell e-cigarettes and e-liquids ( adjusted OR yes vs no 1.31, 95% CI 1.14, 1.50), and in temporary outlets (adjusted OR yes vs no 1.16, 95% CI 1.01, 1.34), after adjustment for covariates, including all other channels of exposure to e-cigarette advertisements (Table 2). In a separate model that included the number of channels through which participants were exposed to e-cigarette advertisements (Table 3), participants who noticed advertisements in more places were more likely to perceive e-cigarettes use as socially acceptable. The magnitude of the association increased as the respondents noticed more traditional advertising (adjusted OR 1–2 places vs none 1.46, 95% CI 1.24, 1.72; adjusted OR 3–4 places vs none 1.58, 95% CI 1.31, 1.91; and adjusted OR ≥ 5 places vs none 1.72, 95% CI 1.33, 2.21). This positive association was also observed among participants who reported having noticed online marketing about e-cigarettes and e-liquids (adjusted OR yes vs no 1.28, 95% CI 1.11, 1.48). In addition, respondents who searched online for information about e-cigarettes (adjusted OR yes, I have searched vs no, I have not searched or visited 1.50, 95% CI 1.28, 1.75) and visited websites about e-cigarette use (adjusted OR yes, I have visited websites vs no, I have not searched or visited 1.48, 95% CI 1.25, 1.76) were more likely to perceive public approval of e-cigarette use.
TABLE 3.

Perception of smokers and e-cigarette users about the public’s attitude towards e-cigarette use according to sociodemographic characteristics, smoking frequency, and marketing exposure, Mexico, 2018–2021

Variable

Some or high disapproval/neither approval nor disapproval/don’t know (n = 4 041, 67.6%)

Some or high approval (n = 1936, 32.4%)

OR (95% CI)

Adjusted OR (95% CI)

%

%

 

 

Sex

  Female (n = 2 785)

69.0

31.0[*]

Reference

Reference

  Male (n = 3 005)

66.4

33.6

1.09 (0.94, 1.26)

1.07 (0.95. 0.82)

Age group, in years

  18–29 (n = 2 073)

63.5

36.5[**]

Reference

Reference

  30–39 (n = 1 771)

65.3

34.7

0.92 (0.77, 1.10)

0.95 (0.82, 1.10)

  40–49 (n = 973)

71.5

28.5

0.60 (0.49, 0.75)[**]

0.83 (0.66, 1.00)[*]

  ≥ 50 (n = 973)

77.0

23.0

0.48 (0.39, 0.60)[**]

0.74 (0.61, 0.90)[*]

Education

  University of higher (n = 1 829)

63.0

37.0[**]

Reference

Reference

  Middle school or less (n = 550)

71.6

28.4

0.98 (0.74, 1.30)

1.07 (0.85, 1.34)

  High school/technical school/some college (n = 3 411)

69.5

30.5

0.89 (0.77, 1.04)

0.96 (0.84, 1.10)

Frequency and intensity of smoking

  Non-daily (n = 3247)

69.1

30.9[*]

Reference

Reference

  Daily ≤ 5 cigarettes (n = 1 200)

66.0

34.0

1.39 (1.15, 1.68)[*]

1.20 (1.03, 1.40)[*]

  Daily > 5 cigarettes (n = 1 343)

65.8

34.3

1.27 (1.06, 1.52)[*]

1.20 (1.03, 1.39)[*]

Frequency and intensity smoking/e-cigarette use

  Smoker only (n = 3318)

74.6

25.4[**]

Reference

Reference

  Occasional dual user/e-cigarette use 1–2 days a week (n = 1 552)

62.4

37.6

1.87 (1.63, 2.15)[**]

1.14 (0.97, 1.34)

  Frequent dual user/e-cigarette use 3 days a week to every day (n = 842)

50.5

49.5

2.96 (2.52, 3.47)[**]

1.47 (1.20, 1.79)[**]

Use of e-cigarettes by partner/family

  No (n = 4 417)

71.6

28.4[**]

Reference

Reference

  Yes (n = 1 373)

54.8

45.2

1.22 (1.05, 1.43)[*]

1.24 (1.07, 1.44)[*]

Use of e-cigarettes by friends

  No (n = 3 641)

73.7

26.3[**]

Reference

Reference

  Yes (n = 2 149)

57.5

42.5

1.59 (1.35, 1.88)[**]

1.14 (0.99, 1.31)

In the previous 30 days, in how many places have you noticed e-cigarette and e-liquid print advertising (e.g., stores, events, concerts and temporary outlets)?

  None (n = 1 939)

79.8

20.2[**]

Reference

Reference

  1–2 (n = 1 998)

65.7

34.3

1.50 (1.25, 1.81)[**]

1.46 (1.24, 1.72)[**]

  3–4 (n = 1 366)

58.8

41.2

1.88 (1.54, 2.29)[**]

1.58 (1.31, 1.91)[**]

  ≥ 5 (n = 487)

52.2

47.8

2.05 (1.58, 2.66)[**]

1.72 (1.33, 2.21)[**]

In the previous 30 days, have you noticed e-cigarette and e-liquid online advertising through e-mail or social media (e.g., Facebook, Twitter)?

  No (n = 2 896)

76.1

23.9[**]

Reference

Reference

  Yes (n = 2 894)

59.2

40.8

1.75 (1.51, 2.02)[**]

1.28 (1.11, 1.48)[*]

In the previous 30 days, have you searched for information on and visited websites about e-cigarettes?

  No, I have not searched or visited/don’t know (n = 2613)

77.9

22.1[**]

Reference

Reference

  Yes, I have searched for information (n = 1455)

64.3

35.7

1.63 (1.36, 1.95)[**]

1.50 (1.28, 1.75)[**]

  Yes, I have visited websites (n = 1 722)

54.9

45.1

2.41 (2.03, 2.86)[**]

1.48 (1.25, 1.76)[**]

p < 0.05,

p < 0.001.

Variable Some or high disapproval/neither approval nor disapproval/don’t know (n = 4 041, 67.6%) Some or high approval (n = 1936, 32.4%) OR (95% CI) Adjusted OR (95% CI) % % Sex Female (n = 2 785) 69.0 31.0[*] Reference Reference Male (n = 3 005) 66.4 33.6 1.09 (0.94, 1.26) 1.07 (0.95. 0.82) Age group, in years 18–29 (n = 2 073) 63.5 36.5[**] Reference Reference 30–39 (n = 1 771) 65.3 34.7 0.92 (0.77, 1.10) 0.95 (0.82, 1.10) 40–49 (n = 973) 71.5 28.5 0.60 (0.49, 0.75)[**] 0.83 (0.66, 1.00)[*] ≥ 50 (n = 973) 77.0 23.0 0.48 (0.39, 0.60)[**] 0.74 (0.61, 0.90)[*] Education University of higher (n = 1 829) 63.0 37.0[**] Reference Reference Middle school or less (n = 550) 71.6 28.4 0.98 (0.74, 1.30) 1.07 (0.85, 1.34) High school/technical school/some college (n = 3 411) 69.5 30.5 0.89 (0.77, 1.04) 0.96 (0.84, 1.10) Frequency and intensity of smoking Non-daily (n = 3247) 69.1 30.9[*] Reference Reference Daily ≤ 5 cigarettes (n = 1 200) 66.0 34.0 1.39 (1.15, 1.68)[*] 1.20 (1.03, 1.40)[*] Daily > 5 cigarettes (n = 1 343) 65.8 34.3 1.27 (1.06, 1.52)[*] 1.20 (1.03, 1.39)[*] Frequency and intensity smoking/e-cigarette use Smoker only (n = 3318) 74.6 25.4[**] Reference Reference Occasional dual user/e-cigarette use 1–2 days a week (n = 1 552) 62.4 37.6 1.87 (1.63, 2.15)[**] 1.14 (0.97, 1.34) Frequent dual user/e-cigarette use 3 days a week to every day (n = 842) 50.5 49.5 2.96 (2.52, 3.47)[**] 1.47 (1.20, 1.79)[**] Use of e-cigarettes by partner/family No (n = 4 417) 71.6 28.4[**] Reference Reference Yes (n = 1 373) 54.8 45.2 1.22 (1.05, 1.43)[*] 1.24 (1.07, 1.44)[*] Use of e-cigarettes by friends No (n = 3 641) 73.7 26.3[**] Reference Reference Yes (n = 2 149) 57.5 42.5 1.59 (1.35, 1.88)[**] 1.14 (0.99, 1.31) In the previous 30 days, in how many places have you noticed e-cigarette and e-liquid print advertising (e.g., stores, events, concerts and temporary outlets)? None (n = 1 939) 79.8 20.2[**] Reference Reference 1–2 (n = 1 998) 65.7 34.3 1.50 (1.25, 1.81)[**] 1.46 (1.24, 1.72)[**] 3–4 (n = 1 366) 58.8 41.2 1.88 (1.54, 2.29)[**] 1.58 (1.31, 1.91)[**] ≥ 5 (n = 487) 52.2 47.8 2.05 (1.58, 2.66)[**] 1.72 (1.33, 2.21)[**] In the previous 30 days, have you noticed e-cigarette and e-liquid online advertising through e-mail or social media (e.g., Facebook, Twitter)? No (n = 2 896) 76.1 23.9[**] Reference Reference Yes (n = 2 894) 59.2 40.8 1.75 (1.51, 2.02)[**] 1.28 (1.11, 1.48)[*] In the previous 30 days, have you searched for information on and visited websites about e-cigarettes? No, I have not searched or visited/don’t know (n = 2613) 77.9 22.1[**] Reference Reference Yes, I have searched for information (n = 1455) 64.3 35.7 1.63 (1.36, 1.95)[**] 1.50 (1.28, 1.75)[**] Yes, I have visited websites (n = 1 722) 54.9 45.1 2.41 (2.03, 2.86)[**] 1.48 (1.25, 1.76)[**] p < 0.05, p < 0.001. Respondents who smoked daily, whether fewer (adjusted OR daily ≤ 5 CPD vs non-daily 1.20, 95% CI 1.03, 1.40) or more than 5 CPD (adjusted OR daily > 5 CPD vs non-daily 1.20, 95% CI 1.03, 1.39), were more likely to perceive public approval of e-cigarette use compared to non-daily smokers. In addition, perceived social acceptability of e-cigarette use was higher among dual users who used e-cigarettes most often compared to exclusive smokers (adjusted OR frequent dual user vs exclusive smoker 1.47, 95% CI 1.20, 1.79) and among respondents who had a family member or partner who used e-cigarettes (adjusted OR family/partner e-cigarette use vs non-use of e-cigarettes 1.24, 95% CI 1.07, 1.44). Only age group was independently associated with perceived social acceptability of e-cigarette use, with older respondents less likely to perceive their use as socially acceptable (adjusted OR 30–39 years vs 18–29 years 0.83, 95% CI 0.66, 1.00) and (adjusted OR 40–49 years vs 18–29 years 0.74, 95% CI 0.61, 0.90).

DISCUSSION

This study of smokers and dual users of combustible cigarettes and e-cigarettes in Mexico, a low- and middle-income country where e-cigarettes are banned, found that self-reported exposure to e-cigarette advertising was highest for online channels (social media such as Facebook, Twitter, YouTube, or Instagram) and outside e-cigarette stores, followed by tobacco stores and temporary outlets. Three of these outlets (online channels, outside e-cigarette stores, and temporary outlets) were also the only channels of exposure to advertising that were significantly associated with a higher likelihood of perceiving e-cigarettes as socially acceptable. Compared with dual users, a higher percentage of exclusive smokers did not notice any e-cigarette advertising (44.4%). Among dual users who occasionally used e-cigarettes, the number of channels through which they were exposed to advertisements was one or two (38.7%) and among frequent dual users, 36.9% noticed advertisements in three or four channels. When exposure to traditional advertisements was treated as a summary index, a significant dose–response association was found with a greater likelihood of perceiving e-cigarettes as socially acceptable, the greater the exposure. How a technology is perceived within a social context, i.e., its social acceptability, has an important role in its acceptance and use (12). Those who perceive a positive attitude to a behavior are more likely to engage in and maintain the behavior, including consumption of a product. Exposure to e-cigarette advertisements plays a major role in the awareness, popularity, and perception of these products (13). Our results show that the greater the number of physical channels where e-cigarette advertisements were noticed, the more positive the perception of the acceptability of their use. This finding is consistent with a study in a cohort of university students (20–24 years) in the United Kingdom of Great Britain and Northern Ireland which found that exposure to e-cigarette advertisements increased the social acceptability of both e-cigarette use and smoking (14). Previous research has shown that e-cigarette advertisements as lifestyle marketing tend to be more effective when the advertisements feature characters who are similar to a person’s peers (15), and such advertising could increase how socially acceptable or desirable these devices are, thus increasing their use or even functioning as a gateway to smoking initiation (16, 17). E-cigarettes and their use have been widely promoted on the Internet, and e-cigarette users employ social media as an important information-sharing platform (18). We found that having noticed e-cigarette advertising on social media or receiving this type of advertising via email was positively associated with perceived social acceptability of e-cigarette use. These results concur with those of an Australian study, which found that people who searched for information on social media or who were exposed to e-cigarette advertising were more likely to report past or current e-cigarette use (19). Similar results have been found in the depiction of other psychoactive substances in social media, especially where celebrities’ activities endorse the consumption of these substances (20). Our results also show that searching for information online about e-cigarettes and visiting provaping websites are positively associated with perceived social acceptability of e-cigarette use. Similar associations were found in a study of young adults, which showed that the existence of provaping information in the public communication environment combined with information-seeking shapes the opinion of the seeker, creates curiosity, and leads to use (2). A meta-analysis in 2019 showed that online e-cigarette marketing affects the perception and trial of these devices; however, few studies have examined the effects of exposure to misleading or inaccurate information (21). We found that visiting provaping websites was the second strongest correlate of perceiving e-cigarette use as socially acceptable. This finding may be related to the composition of our sample; nicotine users as tobacco users appear more prone to exposure to e-cigarette information (13). Another possible reason for the association between visiting provaping sites and perceiving e-cigarette use as socially acceptable is the engagement generated by the provaping information and spokespersons, both for parasocial (feeling an actual interaction with media characters such as influencers, close enough to consider them as peers or close friends) and cultural or entertainment reasons (22). Finally, it is possible that these searches were based on positive expectancy about e-cigarette use that would be reinforced by the information found at provaping sites (23). This study has several limitations. As a cross-sectional study, it is not possible to determine the direction of the associations we assessed. In particular, we were not able to determine if e-cigarette users were exposed to more advertising because they are more likely to seek out and listen to such advertising, or whether they started using e-cigarettes because of the advertising. However, our correlation study serves as a starting point for future studies on the impact of advertising on nicotine consumption behavior over time. Furthermore, our convenience sample comes from a non-probabilistic sample recruited from an online marketing research panel that over-represents people from higher social economic strata; our sample also included quotas to oversample e-cigarette users. This sampling strategy was necessary to study e-cigarette users as they represent a relatively small population segment (1.2% of the general population, and 4.5% of smokers) (24). Therefore, our results probably cannot be generalized to the broader Mexican population. However, our approach gave us the statistical power required to study in greater detail the perception of e-cigarette users, a group that is difficult to study given its low prevalence, and who may be most influenced by advertising.

Conclusion

Being exposed to e-cigarette marketing, through online or regular channels, may positively affect and reinforce perceptions of the social acceptability of these products. However, searching for information on e-cigarettes and visiting provaping sites have a stronger association. More research is therefore needed on the impact of the information available to those seeking to learn about e-cigarettes and these activities in starting or increasing the use of these devices. Given that the social acceptability of these products may be related to less support for restrictions on their sale and consumption, especially in measures such as smoke-free spaces, the possible impact of this advertising on public health should be studied. Similarly, it is necessary to consider regulatory options to avoid the proliferation of promotional websites disguised as opinion or user sites, as well as the use of influencers and celebrities in the promotion of e-cigarettes.

Disclaimer.

The authors hold sole responsibility for the views expressed in the manuscript, which may not necessarily reflect the opinion or policy of the Revista Panamericana de Salud Pública / Pan American Journal of Public Health and/or those of the Pan American Health Organization.
  19 in total

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Authors:  Eleanor L S Leavens; Elise M Stevens; Emma I Brett; Thad R Leffingwell; Theodore L Wagener
Journal:  Addict Behav       Date:  2019-07-09       Impact factor: 3.913

Review 2.  E-Cigarette Marketing and Communication: How E-Cigarette Companies Market E-Cigarettes and the Public Engages with E-cigarette Information.

Authors:  Lauren Collins; Allison M Glasser; Haneen Abudayyeh; Jennifer L Pearson; Andrea C Villanti
Journal:  Nicotine Tob Res       Date:  2019-01-01       Impact factor: 4.244

3.  Effects of e-Cigarette Advertisements on Adolescents' Perceptions of Cigarettes.

Authors:  Minji Kim; Lucy Popova; Bonnie Halpern-Felsher; Pamela M Ling
Journal:  Health Commun       Date:  2017-12-13

4.  Exposure to e-cigarette information and advertising in social media and e-cigarette use in Australia: A mixed methods study.

Authors:  Samia Amin; Adam G Dunn; Liliana Laranjo
Journal:  Drug Alcohol Depend       Date:  2020-06-13       Impact factor: 4.492

Review 5.  Youth vaping: a review and update on global epidemiology, physical and behavioral health risks, and clinical considerations.

Authors:  Timothy D Becker; Timothy R Rice
Journal:  Eur J Pediatr       Date:  2021-08-15       Impact factor: 3.860

Review 6.  Vaping as a Catalyst for Smoking? An Initial Model on the Initiation of Electronic Cigarette Use and the Transition to Tobacco Smoking Among Adolescents.

Authors:  Sven Schneider; Katharina Diehl
Journal:  Nicotine Tob Res       Date:  2015-09-18       Impact factor: 4.244

7.  E-cigarette vending machines: a new access channel for youth in Guatemala City.

Authors:  Sophia Mus; Jose Monzon; James F Thrasher; Joaquin Barnoya
Journal:  Tob Control       Date:  2022-01-21       Impact factor: 6.953

8.  Does Seeking e-Cigarette Information Lead to Vaping? Evidence from a National Longitudinal Survey of Youth and Young Adults.

Authors:  Qinghua Yang; Jiaying Liu; Kirsten Lochbuehler; Robert Hornik
Journal:  Health Commun       Date:  2017-12-13

9.  Vaping Expectancies: A Qualitative Study among Young Adult Nonusers, Smokers, Vapers, and Dual Users.

Authors:  Paul T Harrell; Thomas H Brandon; Kelli J England; Tracey E Barnett; Laurel O Brockenberry; Vani N Simmons; Gwendolyn P Quinn
Journal:  Subst Abuse       Date:  2019-08-19

10.  Electronic Cigarette Advertising Impacts Adversely on Smoking Behaviour Within a London Student Cohort: A Cross-Sectional Structured Survey.

Authors:  C Ratneswaran; J Steier; K Reed; T K Khong
Journal:  Lung       Date:  2019-08-28       Impact factor: 2.584

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