Abstract
INTRODUCTION
The widespread popularity of e-cigarettes is considered an important public health concern. However, only some studies have investigated the prevalence of e-cigarette use in Shanghai, China. Research on the perceived harmfulness of e-cigarettes and public support for e-cigarette regulations in China is limited. This study aimed to estimate e-cigarette awareness, prevalence, and associated factors among adults in Shanghai, China.
METHODS
This study used data from a representative survey conducted in Shanghai, China, in 2019. The survey was conducted at 64 surveillance points in Shanghai, China, using a multistage, stratified, cluster-randomized sampling design, recruiting community-based Chinese adults aged ≥15 years. Based on the principles outlined in the Global Adult Tobacco Survey (GATS) China Project, data were collected by conducting face-to-face interviews in households. Of the 3200 selected households, 3060 people completed the individual survey. The overall response rate was 97.4%.
RESULTS
In all, 72.3% of the respondents had heard of e-cigarettes. The respondents who had used e-cigarettes at some point in their life, used them in the last 12 months, and used them currently were 5.8%, 2.6%, and 1.3%, respectively. Among adult residents who had heard of e-cigarettes, 38.2% thought they were less harmful than traditional cigarettes. The respondents who perceived e-cigarettes as more harmful than traditional cigarettes were less likely to have ever used e-cigarettes (AOR=0.2; 95% CI: 0.1–0.5, p=0.0015) and more likely to support incorporating e-cigarettes into the regulation of smoking control (AOR=3.9; 95% CI: 1.8–8.6, p=0.0008).
CONCLUSIONS
Our findings reveal that the awareness about e-cigarettes was high, and the prevalence of e-cigarette use was similar to the findings from previous studies in China. The harmful perception of e-cigarettes warrants further attention from public health practitioners.
Keywords: e-cigarettes, perception, adult, China, smoke
INTRODUCTION
Electronic cigarettes, also known as ‘e-cigarettes’, are the most common Electronic Nicotine Delivery Systems (ENDS). They are battery-powered devices that deliver smoke-like aerosol (i.e. vapor) that the user inhales1,2. E-cigarette sales worldwide are expected to grow to US$28.2 billion by 20273.
Although the long-term health effects of e-cigarettes remain unclear, sufficient evidence suggests that they are unsafe4-6. Chronic exposure to e-cigarette aerosol during pregnancy has potentially harmful developmental effects on offspring7,8. Growing evidence from clinical and epidemiological studies indicates that e-cigarettes and their aerosol constituents can adversely affect the cardiovascular, brain development, and respiratory systems9-13.
E-cigarettes have become popular as they are perceived to be safer compared to traditional cigarette smoking. This public perception of safety have gained popularity among non-smokers9.
In China, national survey data showed that e-cigarette use among adults remains low but has increased substantially from 2015 to 201814. Zhao et al.15 identified a significant increase in e-cigarette use among urban populations between 2015 and 2019. Two recent studies used city-level representative data to assess the awareness and use of e-cigarettes among urban residents in China16,17. However, these studies have yet to report data on e-cigarette use among adults in Shanghai, China. Shanghai is a municipality under the direct administration of the Chinese government. According to the 2020 population census in China, the population of Shanghai was 24.87 million18. The studies conducted in Shanghai may contribute to a better understanding of e-cigarette awareness and use among adult Chinese residents.
Various e-cigarette regulations have been implemented worldwide to reduce the potential risks of e-cigarettes. A total of 32 countries have banned ENDS1. If e-cigarettes are not banned, they must be regulated. The Regulation of the Shanghai Municipality on smoking control in public places was officially implemented on 1 March 2010 and was the first domestic tobacco control regulation promulgated by the Provincial People’s Congress. The first amendment to the regulations was implemented on 1 March 2017. Additionally, smoking is prohibited in indoor public places, workplaces, and public transport facilities in Shanghai. On 28 October 2022 inclusion of e-cigarettes within the scope of smoking prohibition in public places in Shanghai was approved and implemented. However, knowledge regarding the characteristics of e-cigarette prevalence and trends in e-cigarette use in Shanghai before e-cigarettes were incorporated into regulations remains limited.
Based on the knowledge and understanding outlined above, this study aimed to estimate e-cigarette awareness, prevalence, and associated factors among adults in Shanghai. Additionally, we examined the perceived harm and public support for incorporating e-cigarettes into the Regulation of Shanghai Municipality on smoking control to provide important baseline data before the implementing e-cigarette regulation in Shanghai.
METHODS
Study population and settings
We conducted a cross-sectional household survey in Shanghai, China, from June 2019 to September 2019. Eligible subjects were Chinese residents aged ≥15 years who resided in the selected household in the month prior to the survey date, excluding those collectively living in student dormitories, nursing homes, military camps, prisons, or hospitals14,16-17. A stratified four-stage cluster sampling design was implemented to produce representative citywide data based on the principles outlined in the GATS Sample Design Manual19,20.
In the first stage, 64 streets or towns were selected using the probability proportionate to size (PPS) sampling method. The measure of size (MOS) was the number of households. In the second stage, one urban neighborhood community (Ju-Wei-Hui in Mandarin) or rural village was selected from each of the selected streets or towns using the PPS method. The selected secondary sampling unit was partitioned into segments of around 750–1500 households, if the selected unit was of above 1500 households. One segment was randomly selected thereafter. In the third stage, 50 households from each neighborhood community or selected segment, were randomly selected from the household sampling frame created by mapping and listing. The total number of designated households was 3200. In the last stage, one individual was randomly selected from each of the 3200 participating households using simple random sampling.
The questionnaire was based on the Global Adults Tobacco Survey China Project14, with additional questions on the perception of e-cigarette harmfulness and support to incorporate e-cigarettes into the regulation of Shanghai Municipality on smoking control.
Measures
Sociodemographic characteristics
Assessed sociodemographic characteristics included: gender, age group (15–24, 25–44, 45–64, ≥65 years), educational level (primary school or lower, junior high school, senior high school, college degree or higher), occupation (government employee, teacher, healthcare provider; factory, business, agriculture, and service industry employee; and not in the labor force, which included the unemployed, students, homemakers, and retired)16, annual household income in RMB (<30000, 30000–49999, 50000–99999, ≥100000) and smoking status (never tobacco smoker, current tobacco smoker, former tobacco smoker).
Measures about e-cigarettes
Awareness of e-cigarettes was measured by the question: ‘Have you ever heard of e-cigarettes?’. If the answer was ‘yes’, then they were asked ‘Where did you hear about electronic cigarettes?’14. Among those who had ever heard of e-cigarettes, the perception of harm around e-cigarettes was measured by the question: ‘Compared with traditional cigarettes, do you think e-cigarettes are less harmful, just as harmful, or more harmful?’. The question: ‘Do you agree with the incorporation of e-cigarettes into the Regulation of Shanghai Municipality on smoking control?’ was asked to learn about the support for e-cigarette regulation in smoke-free venues.
Questions such as ‘Have you ever used an electronic cigarette?’, ‘Have you ever used an electronic cigarette during the past 12 months?’ and ‘Do you use e-cigarettes currently?’ were asked to measure ever use, past 12 months use, and current use of e-cigarettes14.
Statistical analysis
SAS V.9.4 was used for data processing and analysis. Owing to the complex sample design of the survey, each responding unit was assigned a unique survey weight that was used to produce estimates of the population parameters19. Population data from the Shanghai Municipal Bureau of Statistics were used for the post-stratification calibration adjustment. Descriptive statistics of percentages, including point estimates and 95% confidence intervals (CI), were calculated overall and by sociodemographic characteristics. Rao-Scott chi-squared tests and univariate logistic regression were conducted to compare the outcome variables by sociodemographic characteristics. Multivariable logistic regression was conducted to explore factors associated with awareness and ever use of e-cigarettes. Adjusted odds ratios (AORs) controlled for sociodemographic characteristics, including age, gender, education level, occupation, income, and smoking status, in the analysis of factors associated with awareness of e-cigarettes among all samples. Two models were built to assess factors related to the ever use of e-cigarettes. One model was the same as the AOR analysis of awareness of e-cigarettes. Another model was adjusted for the perceived harmfulness of e-cigarettes compared to traditional cigarettes among respondents who had heard of e-cigarettes, in addition to the factors adjusted in the preceding model. A two-tailed p<0.05 was considered statistically significant.
RESULTS
Demographic characteristics
Of the 3200 selected households, 59 empty households were eliminated, 3093 households completed the survey, and 3060 people completed the individual survey. The overall response rate was 97.4%. The weighted percentage estimate of people with senior high school education accounted for 26.5% and those with a college degree or higher were 37.7%. The current smoking prevalence was 19.7% (Table 1).
Table 1.
Demographic characteristics among adult residents in Shanghai, China, 2019 (N=3060)
| Demographic characteristics | Unweighted number n | % | 95 % CI | Weighted number n |
|---|---|---|---|---|
| Overall | 3060 | 100 | 21979700 | |
| Gender | ||||
| Male | 1346 | 51.6 | 48.8–54.3 | 11332500 |
| Female | 1714 | 48.4 | 45.7–51.2 | 10647200 |
| Age (years ) | ||||
| 15–24 | 106 | 12.8 | 10.1–15.5 | 2816300 |
| 25–44 | 849 | 41.4 | 38.1–44.7 | 9095700 |
| 45–64 | 1094 | 32.3 | 29.5–35.0 | 7091100 |
| ≥65 | 1011 | 13.5 | 11.2–15.9 | 2976600 |
| Education level | ||||
| Primary school or lower | 559 | 10.3 | 8.2–12.4 | 2261512 |
| Junior high school | 902 | 25.5 | 22.4–28.6 | 5582055 |
| Senior high school | 741 | 26.5 | 23.6–29.4 | 5805034 |
| College degree or higher | 848 | 37.7 | 33.3–42.1 | 8259009 |
| Occupation | ||||
| Government employee, teacher, healthcare provider | 238 | 11.0 | 8.1–13.9 | 2409634 |
| Factory, business, service industry employee | 1102 | 45.2 | 39.9–50.6 | 9899667 |
| Not in the labor force | 1707 | 43.7 | 38.7–48.8 | 9571064 |
| Income (RMB ) | ||||
| <30000 | 456 | 8.4 | 5.9–10.8 | 1841797 |
| 30000–49999 | 575 | 12.0 | 9.6–14.5 | 2639449 |
| 50000–99999 | 990 | 30.9 | 26.6–35.1 | 6787537 |
| ≥100000 | 751 | 35.1 | 30.3–39.9 | 7714346 |
| Unwilling to disclose | 288 | 13.6 | 9.0–18.2 | 2996571 |
| Smoking status | ||||
| Never smoker | 2259 | 72.8 | 70.1–75.5 | 15996813 |
| Current smoker | 530 | 19.7 | 17.4–21.9 | 4326771 |
| Former smoker | 271 | 7.5 | 6.2–8.8 | 1656116 |
RMB: 1000 Chinese Renminbi about US$140.
Awareness of e-cigarettes among adult residents in Shanghai
A total of 72.3% of adults aged ≥15 years had heard of e-cigarettes (Table 2). Awareness of e-cigarettes was higher among adults aged <65 years, males, participants with education level higher than primary school, and those with an annual household income above RMB 50000. Current smokers were also more aware of e-cigarettes.
Table 2.
Awareness, ever use, past 12 months use, and current use of e-cigarettes among adult residents in Shanghai, China, 2019 (N=3060)
| Variable | Awareness of e-cigarettes | Ever use of e-cigarettes | Past 12 months use of e-cigarettes | Current use of e-cigarettes | ||||
|---|---|---|---|---|---|---|---|---|
| % (9 5 % CI ) | ||||||||
| Overall | 72.3 | 68.7–75.8 | 5.8 | 4.5–7.1 | 2.6 | 1.7–3.6 | 1.3 | 0.6–1.9 |
| Gender | ||||||||
| Male | 78.5 | 74.8–82.3 | 10.5 | 8.0–13.0 | 4.6 | 2.8–6.4 | 2.2 | 1.0–3.4 |
| Female | 65.6 | 61.3–70.0 | 0.8 | 0.3–1.4 | 0.6 | 0.0–1.1 | 0.3 | 0.0–0.8 |
| Age (years) | ||||||||
| 15–24 | 87.9 | 81.2–94.6 | 8.5 | 1.8–15.2 | 5.3 | 0.6–10.0 | 4.1 | 0.0–8.2 |
| 25–44 | 84.0 | 79.4–88.6 | 7.8 | 5.6–10.0 | 4.0 | 2.3–5.7 | 1.3 | 0.4–2.2 |
| 45–64 | 62.2 | 57.4–67.0 | 3.9 | 2.7–5.1 | 0.9 | 0.2–1.6 | 0.6 | 0.0–1.2 |
| ≥65 | 45.8 | 39.6–52.1 | 1.7 | 0.9–2.6 | 0.3 | 0.0–0.6 | 0.3 | 0.0–0.6 |
| Education level | ||||||||
| Primary school or lower | 25.4 | 20.4–30.3 | 2.6 | 0.4–4.9 | 0.0 | - | 0.0 | - |
| Junior high school | 63.5 | 58.6–68.3 | 5.7 | 2.1–9.4 | 1.9 | 0.1–3.8 | 0.7 | 0.0–1.8 |
| Senior high school | 79.4 | 75.2–83.7 | 6.3 | 4.0–8.6 | 2.7 | 0.7–4.7 | 1.6 | 0.1–3.1 |
| College degree or higher | 86.2 | 81.9–90.5 | 6.4 | 4.1–8.7 | 3.8 | 2.0–5.5 | 1.8 | 0.5–3.1 |
| Occupation | ||||||||
| Government employee, teacher, healthcare provider | 82.2 | 74.9–89.6 | 4.1 | 0.9–7.4 | 2.9 | 0.0–6.0 | 1.3 | 0.1–2.5 |
| Factory, business, service industry employee | 76.5 | 71.7–81.3 | 8.1 | 5.5–10.6 | 3.4 | 1.7–5.0 | 1.6 | 0.4–2.8 |
| Not in the labor force | 65.6 | 61.0–70.2 | 4.0 | 2.6–5.4 | 1.8 | 0.4–3.2 | 1.0 | 0.1–1.9 |
| Income (RMB) | ||||||||
| <30000 | 50.2 | 40.8–59.6 | 4.0 | 0.3–7.7 | 0.5 | 0.0–1.4 | 0.5 | 0.0–1.4 |
| 30000–49999 | 58.1 | 49.8–66.3 | 5.0 | 2.6–7.4 | 1.0 | 0.0–2.2 | 0.4 | 0.0–0.9 |
| 50000–99999 | 73.4 | 69.3–77.4 | 4.3 | 2.5–6.0 | 2.1 | 0.8–3.4 | 0.9 | 0.1–1.7 |
| ≥100000 | 80.5 | 76.5–84.6 | 7.2 | 4.6–9.9 | 3.5 | 1.8–5.3 | 1.5 | 0.5–2.5 |
| Unwilling to disclose | 74.5 | 68.8–80.2 | 7.6 | 2.9–12.3 | 4.3 | 0.0–8.8 | 3.0 | 0.0–6.8 |
| Smoking status | ||||||||
| Never smoker | 69.7 | 65.7–73.7 | 0.7 | 0.1–1.3 | 0.6 | 0.0–1.2 | 0.2 | 0.0–0.5 |
| Current smoker | 82.9 | 78.4–87.5 | 23.7 | 18.5–28.9 | 10.8 | 6.7–15.0 | 5.6 | 2.6–8.7 |
| Former smoker | 69.3 | 63.1–75.5 | 8.5 | 4.5–12.6 | 1.1 | 0.0–2.2 | 0.4 | 0.0–1.2 |
RMB: 1000 Chinese Renminbi about US$140.
After controlling for demographic characteristics and smoking status in Model A, the age groups of 15–24 and 25–44 years were associated with a higher rate of awareness of e-cigarettes. Residents with higher educational level were more likely to be aware of e-cigarette use. Respondents with household incomes ≥50000 had greater odds of being aware of e-cigarettes than those with incomes <30000. Current and former smokers were more likely to be aware of e-cigarettes than non-smokers. There was no association between e-cigarette awareness and gender or occupation (Table 3).
Table 3.
Factors associated with awareness and ever use of e-cigarettes among adult residents of Shanghai, China, 2019
| Variable | Awareness of e-cigarettes (N=3060) | Ever use of e-cigarettes (N=3060) | Ever use of e-cigarettes (N=1896) | |||
|---|---|---|---|---|---|---|
| AORa | 95% CI | AORa | 95% CI | AORb | 95 % CI | |
| Gender | ||||||
| Male | 1.1 | 0.8–1.6 | 1.1 | 0.3–3.7 | 1.0 | 0.3–3.6 |
| Female (Ref.) | ||||||
| Age (years) | ||||||
| 15–24 | 4.3 | 2.2–8.6 | 12.9 | 3.8–43.4 | 4.4 | 1.2–16.0 |
| 25–44 | 2.6 | 1.6–4.4 | 5.9 | 2.5–13.9 | 3.8 | 1.6–9.1 |
| 45–64 | 1.3 | 1.0–1.6 | 1.6 | 0.7–3.5 | 1.3 | 0.6–2.8 |
| ≥65 (Ref. ) | ||||||
| Education level | ||||||
| Primary school or lower (Ref.) | ||||||
| Junior high school | 3.9 | 2.9–5.3 | 1.4 | 0.5–4.3 | 0.8 | 0.3–2.8 |
| Senior high school | 7.4 | 5.3–10.3 | 1.0 | 0.4–3.0 | 0.7 | 0.2–2.3 |
| College degree or higher | 9.5 | 6.3–14.5 | 1.2 | 0.4–3.8 | 0.7 | 0.2–2.4 |
| Occupation | ||||||
| Government employee, teacher, healthcare provider | 0.8 | 0.4–1.5 | 0.6 | 0.2–1.7 | 0.6 | 0.2–1.7 |
| Factory, business, service industry employee | 0.9 | 0.6–1.2 | 1.0 | 0.5–1.9 | 0.9 | 0.5–1.8 |
| Not in the labor force (Ref.) | ||||||
| Income (RMB) | ||||||
| <30000 (Ref.) | ||||||
| 30000–49999 | 1.3 | 0.8–1.9 | 1.2 | 0.4–3.9 | 1.2 | 0.3–4.1 |
| 50000–99999 | 1.8 | 1.2–2.6 | 1.0 | 0.3–3.0 | 0.9 | 0.3–2.9 |
| ≥100000 | 1.8 | 1.2–2.7 | 1.6 | 0.6–4.9 | 1.3 | 0.5–3.7 |
| Unwilling to disclose | 1.5 | 1.0–2.2 | 1.9 | 0.6–6.2 | 1.9 | 0.5–7.0 |
| Smoking status | ||||||
| Never smoker (Ref.) | ||||||
| Current smoker | 2.7 | 1.7–4.2 | 62.9 | 19.2–206.0 | 63.5 | 18.5–217.4 |
| Former smoker | 1.8 | 1.2–2.7 | 29.7 | 7.9–112.0 | 26.0 | 7.0–95.9 |
| Perceived harmfulness compared with traditional cigarettes | ||||||
| E-cigarettes less harmful (Ref.) | ||||||
| E-cigarettes similarly harmful | 0.5 | 0.3–1.0 | ||||
| E-cigarettes more harmful | 0.2 | 0.1–0.5 | ||||
| Do not know | 0.3 | 0.1–0.5 | ||||
AOR: adjusted odds ratio.
All samples, adjusted for gender, age, education, occupation, income, and smoking status.
Among respondents who had heard of e-cigarettes, adjusted for gender, age, education level, occupation, income, smoking status, and perceived harmfulness. RMB: 1000 Chinese Renminbi about US$140.
Regarding the information sources about e-cigarettes, the most common source was friends (56.3%), followed by the internet (44.9%) and television (40.7%). The residents who were younger, employed, and had higher level of education were more likely to learn about e-cigarettes on the internet (p<0.0001).
Perception of e-cigarette harmfulness and support to incorporate e-cigarettes into the regulation of Shanghai Municipality on smoking control
Among the adult residents who had heard of e-cigarettes, 38.2% thought that e-cigarettes were less harmful than traditional cigarettes, 24.8% thought they were similarly harmful, and 27.2% were unaware of their harmfulness (Table 4 and Figure 1). More e-cigarette users (54.5%) than never e-cigarette users (36.8%) perceived e-cigarettes as less harmful than traditional cigarettes (p=0.006). The perception of e-cigarette harmfulness differed among age groups (p<0.0001). The rate of perceiving e-cigarettes as less harmful than traditional cigarettes ranged from 55.6% among participants aged 15–24 years to 27.6% among participants aged ≥65 years.
Table 4.
Perception of e-cigarettes and support for e-cigarette use regulation by ever use of e-cigarettes among respondents who had heard of e-cigarettes in Shanghai, China, 2019 (N=1896)
| Items | Ever use of e-cigarettes (N=117) | Never use of e-cigarettes (N=1779) | Total | p | |||
|---|---|---|---|---|---|---|---|
| % (95% CI) | |||||||
| Perceived harmfulness compared with traditional cigarettes | |||||||
| E-cigarettes less harmful | 54.5 | 44.2–64.8 | 36.8 | 32.8–40.8 | 38.2 | 34.4–42.0 | 0.006 |
| E-cigarettes similarly harmful | 22.5 | 13.8–31.3 | 25.0 | 21.9–28.1 | 24.8 | 21.9–27.8 | |
| E-cigarettes more harmful | 7.9 | 2.9–12.8 | 9.9 | 7.8–12.0 | 9.7 | 7.9–11.6 | |
| Do not know | 15.1 | 7.3–22.9 | 28.3 | 24.9–31.6 | 27.2 | 24.1–30.3 | |
| Support to incorporate e-cigarettes into Regulation of Shanghai Municipality on smoking control | |||||||
| Support | 81.0 | 71.0–90.9 | 86.1 | 83.5–88.6 | 85.7 | 83.2–88.2 | 0.264 |
| Do not support/do not know | 19.0 | 9.1–29.0 | 13.9 | 11.4–16.5 | 14.3 | 11.8–16.8 | |
Figure 1.
Perceived harm of e-cigarettes relative to traditional cigarettes by ever use of e-cigarettes in Shanghai, China, 2019 (N=1896)
Among the respondents who had heard of e-cigarettes, 85.7% supported the incorporation of e-cigarettes into the regulation of the Shanghai Municipality on smoking control (Table 4). There was no statistically significant difference in the support rate between ever and never e-cigarette users (p=0.264). Controlling for gender, age, education level, occupation, income, smoking status, and perceived harmfulness, the adjusted odds ratio of support to incorporate e-cigarettes into the regulation of Shanghai Municipality on smoking control was greater among those perceiving ‘e-cigarettes and traditional cigarettes are similarly harmful’ (AOR=2.2; 95% CI: 1.4–3.5, p=0.0016) and ‘e-cigarettes are more harmful’ (AOR=3.9; 95% CI: 1.8–8.6, p=0.0008) than those who responded, ‘e-cigarettes are less harmful’.
Use of e-cigarettes among adult residents in Shanghai
An estimated 1.3% (95% CI 0.6–1.9) of adults aged ≥15 years currently used e-cigarettes, with 2.2% of males and 0.3% of females (p=0.0045). Among the current e-cigarette users, 85.8% used both e-cigarettes and traditional cigarettes. Younger residents were more likely to use e-cigarettes, ranging from 4.1% among people aged 15–24 years to 0.3% among people aged ≥65 years (p=0.0006). Current smokers were more likely to use e-cigarettes than never smokers (p=0.0001) (Table 2).
The prevalence of ever use of e-cigarettes was 5.8% (95% CI: 4.5–7.1), and the prevalence of e-cigarette use in the past 12 months was 2.6% (95% CI: 1.7–3.6), both of which were higher among males than females (p<0.0001). Younger residents were more likely to have used e-cigarettes in the last 12 months and have ever used e-cigarettes (p=0.0001, p=0.002). Current and former smokers were more likely to have used e-cigarettes than never smokers (p<0.0001) (Table 2). After controlling for demographic characteristics and smoking status, being aged 15–24 and 25–44 years was associated with a higher rate of e-cigarette ever use. Compared to never smokers, current smokers and former smokers had, respectively, 62.9 (95% CI: 19.2–206.0) and 29.7 (95% CI: 7.9–112.0) times greater odds of having ever used e-cigarettes. After controlling for demographic characteristics, smoking status, and perceived harmfulness, respondents who perceived e-cigarettes as more harmful than traditional cigarettes were less likely to have ever used e-cigarettes compared to those who perceived e-cigarettes as less harmful (AOR=0.2; 95% CI: 0.1–0.5, p=0.0015) (Table 3).
DISCUSSION
To the best of our knowledge, this is the first study to report e-cigarette awareness and prevalence among adults in Shanghai. Perceived harm and public support for incorporating e-cigarettes into the regulation of smoking control in the Shanghai Municipality were also explored. Our study also provides baseline data for evaluating the effect of the amended regulations of Shanghai Municipality on smoking control in public places. The key finding of this study was that those who perceived e-cigarette use as more harmful were less likely to be e-cigarette ever users and more likely to support incorporating e-cigarettes into the regulation of smoking control, compared to individuals who perceived e-cigarette use as less harmful than traditional cigarettes.
More than 70% of participants in our study were aware of e-cigarette use. The rates of current e-cigarette use, use in the last 12 months, and ever use were 1.3%, 2.6%, and 5.8%, respectively. The prevalence of e-cigarette use in our study was similar to the findings of previous studies in China but lower than the reported prevalence in some developed countries14,16,21,22. Our study showed a higher level of awareness of e-cigarettes. In the 2018 China Global Adult Tobacco Survey (GATS), the rate of e-cigarette awareness, the prevalence of current e-cigarette use, in the last 12 months, and ever use among urban residents was 56.3%, 1.1%, 2.5%, and 5.3%, respectively14. Results from five representative citywide surveys conducted from 2017 to 2018 revealed that awareness of e-cigarette products was 51.3% among urban adults in five cities, ranging from 45.0% in Chongqing to 58.7% in Xi’an. Furthermore, 4.8% of respondents reported using e-cigarettes, ranging from 3.7% in Wuhan to 6.6% in Xi’an. Approximately 0.9% reported using e-cigarettes in the past 30 days, ranging from 0.6% in Chongqing to 1.7% in Xi’an16. Our study found that among current users of electronic cigarettes, 85.8% were dual users. It was consistent with findings from previous studies in China14,17, but much higher than that in western populations22,23. The most likely reason for using e-cigarettes was smoking cessation14.
Our study found that the rates of e-cigarette awareness and use were higher among people aged <45 years than among other age groups, similar to the results of previous studies14,16,17. These results raise public health concerns among young adults. A report commissioned by Public Health England reveals that 61.9% of youth perceive e-cigarettes as less harmful than cigarettes24. A meta-analysis study showed that, in comparison to non-users, young people who were ever e-cigarette users were two times more likely to perceive e-cigarettes as less harmful than tobacco cigarettes (OR=2.01; 95% CI: 1.47–2.75)25. Furthermore, growing research indicates that the use of e-cigarettes may be associated with an increased risk of progression to conventional cigarette smoking in never smokers26,27. A previous study among university students in Shanghai showed that the most common reason for e-cigarette ever use was ‘less harmful than traditional cigarettes’ (55.0%)28. Our results reveal that the rate of perceiving e-cigarettes as less harmful than traditional cigarettes among young people aged 15–24 years was 55.6%. Moreover, our study found that adult residents who perceived e-cigarettes as more harmful than traditional cigarettes were less likely to have used e-cigarettes than those who perceived e-cigarettes as less harmful. A meta-analysis involving 91051 adolescents and young adults showed that e-cigarette use was associated with a higher risk of smoking intentions27. Another meta-analysis based on 89076 participants showed that the AOR of smoking initiation among e-cigarette users at baseline compared with non-e-cigarette users at baseline was 3.37 (95% CI: 2.68–4.24)29. Previous evidence indicates gateway effects from e-cigarette smoking to conventional cigarette smoking. This suggests that public health practitioners should be concerned about the perception of harm from e-cigarettes to reduce the potential hazards of e-cigarette use.
The media is the most accessible information source for the public, shaping their perceptions of health issues30,31. Content analysis of the full text of 639 news articles in mainland Chinese newspapers from 2004 to 2019 found that ‘e-cigarettes are less harmful than traditional cigarettes’ is the dominant argument compared with the opposite argument that ‘e-cigarettes are as harmful or more harmful than traditional cigarettes’ within the topics of relative health impact compared to cigarettes31. A previous mixed-methods study on adult e-cigarette users in China found that some participants received e-cigarette related information from news reported by the official media. Some participants saw television or internet news reports stating that e-cigarettes were harmful, thus raising doubts about e-cigarette safety32. Consistent with previous research, our study found that public media, such as the Internet and television, are the main information sources of e-cigarettes in China14,33. These findings suggest that health educators should provide the public with updated health knowledge about e-cigarettes through popular social media platforms.
Government policies significantly influence Chinese media coverage of relevant issues. The increased reporting of policies unfavorable to e-cigarettes aligns with the growing number of regulations restricting e-cigarettes31. Currently, the Shanghai Municipality Regulation on smoking control in public places, bans e-cigarette use in smoke-free venues. Our findings provide strong public support for a ban on e-cigarette use in smoke-free venues in Shanghai. However, more efforts are needed to reinforce the governance of e-cigarette use. Media reports on the harmfulness of e-cigarettes and policies regarding e-cigarettes may underpin the strong support for regulation.
Limitations
This study has several limitations. First, our survey was a household survey, excluding those who lived collectively in places such as student dormitories, nursing homes, and military camps; there may be a few college students covered by the survey14. The prevalence of e-cigarette use among people aged 15–24 years, as shown in our study, may have been underestimated. Second, this was a cross-sectional survey, which precludes causal inferences. Third, this study did not assess the factors associated with current e-cigarette use, considering the sample size. Finally, given that the data used in this study were collected in 2019, temporal differences may exist.
CONCLUSIONS
Our findings revealed that awareness of e-cigarettes was high, and the prevalence of e-cigarette use in our study was similar to findings from previous studies in China. The harmful perceptions of e-cigarettes warrant further attention from public health practitioners. Our study provides baseline data for the evaluation of the effect of the amended Regulation of the Shanghai Municipality on smoking control in public places. Future studies on e-cigarette use in Shanghai are critical for examining trends in prevalence and the potential effects of regulations.
ACKNOWLEDGEMENTS
We acknowledge the tobacco control office of Chinese Center for Disease Control and Prevention for providing technical support. We gratefully thank the health education department of Center for Disease Control and Prevention in all districts of Shanghai and all the staff involved in the investigation. Our appreciation also goes to Editage (www.editage.cn) for English language editing.
CONFLICTS OF INTEREST
The authors have each completed and submitted an ICMJE form for disclosure of potential conflicts of interest. The authors declare that they have no competing interests, financial or otherwise, related to the current work. All the authors report that since the initial planning of the work they received support from Discipline-Construction Project of Three-year Action Plan for Shanghai Public Health System Construction - health education and health communication (GWV-10.1-XK14), from Tobacco-free kids international grant (CHINA-29-11) and National Basic Public Health Service Project (provided by the Chinese Central Government).
FUNDING
This research was supported by the Discipline-Construction Project of Three-year Action Plan for Shanghai Public Health System Construction - health education and health communication (Grant number: GWV-10.1-XK14), the Tobacco-free kids international grant (Grant number: CHINA-29-11), and National Basic Public Health Service Project.
ETHICAL APPROVAL AND INFORMED CONSENT
Ethical approval was obtained from the Institutional Review Board of Chinese Center for Disease Control and Prevention (Approval number: 201711; Date: 13 October 2017). Participants provided informed consent.
DATA AVAILABILITY
The data supporting this research are available from the authors on reasonable request.
AUTHORS’ CONTRIBUTIONS
JW carried out data analysis and drafted the manuscript. CCX, XXJ and ZYG took responsibility of the literature review. JW, KX and YQS were involved in data collection and organization. JRG, YD and ZYH provided administrative support. DC supervised the whole process and provided suggestions on the manuscript. All authors read and approved the final manuscript submitted.
PROVENANCE AND PEER REVIEW
Not commissioned; externally peer reviewed.
REFERENCES
- 1.World Health Organization . WHO report on the global tobacco epidemic 2021: addressing new and emerging products. WHO; 2021. Accessed February 25, 2022. https://www.who.int/teams/health-promotion/tobacco-control/global-tobacco-report-2021. [Google Scholar]
- 2.Grana R, Benowitz N, Glantz SA. E-cigarettes: a scientific review. Circulation. 2014;129(19):1972–1986. doi: 10.1161/CIRCULATIONAHA.114.007667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Conway J. Revenue of the e-cigarettes industry Worldwide 2017-2027. Statista; 2023. Accessed July 6, 2023. https://www.statista.com/statistics/493214/global-e-cigarettes-dollar-sales/ [Google Scholar]
- 4.National Health Commission of the People’s Republic of China . 2020 Report on Health Hazards of Smoking in China. In Chinese. People’s medical publishing house; 2021. [Google Scholar]
- 5.Jia X, Xie C, Gong Z, et al. Research advances on health risk of e-cigarettes. J Environ Occup Med. 2021;38(4):438–45. doi: 10.13213/j.cnki.jeom.2021.20460. [DOI] [Google Scholar]
- 6.Kennedy CD, van Schalkwyk MCI, McKee M, Pisinger C. The cardiovascular effects of electronic cigarettes: a systematic review of experimental studies. Prev Med. 2019;127:105770. doi: 10.1016/j.ypmed.2019.105770. [DOI] [PubMed] [Google Scholar]
- 7.Nguyen T, Li GE, Chen H, Cranfield CG, McGrath KC, Gorrie CA. Maternal e-cigarette exposure results in cognitive and epigenetic alterations in offspring in a mouse model. Chem Res Toxicol. 2018;31(7):601–611. doi: 10.1021/acs.chemrestox.8b00084. [DOI] [PubMed] [Google Scholar]
- 8.Orzabal MR, Lunde-Young ER, Ramirez JI, et al. Chronic exposure to e-cig aerosols during early development causes vascular dysfunction and offspring growth deficits. Transl Res. 2019;207:70–82. doi: 10.1016/j.trsl.2019.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Buchanan ND, Grimmer JA, Tanwar V, Schwieterman N, Mohler PJ, Wold LE. Cardiovascular risk of electronic cigarettes: a review of preclinical and clinical studies. Cardiovasc Res. 2020;116(1):40–50. doi: 10.1093/cvr/cvz256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wills TA, Pagano I, Williams RJ, Tam EK. E-cigarette use and respiratory disorder in an adult sample. Drug Alcohol Depend. 2019;194:363–370. doi: 10.1016/j.drugalcdep.2018.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Tobore TO. On the potential harmful effects of E-Cigarettes (EC) on the developing brain: the relationship between vaping-induced oxidative stress and adolescent/young adults social maladjustment. J Adolesc. 2019;76:202–209. doi: 10.1016/j.adolescence.2019.09.004. [DOI] [PubMed] [Google Scholar]
- 12.Bayly JE, Bernat D, Porter L, Choi K. Secondhand exposure to aerosols from electronic nicotine delivery systems and asthma exacerbations among youth with asthma. Chest. 2019;155(1):88–93. doi: 10.1016/j.chest.2018.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Alnajem A, Redha A, Alroumi D, et al. Use of electronic cigarettes and secondhand exposure to their aerosols are associated with asthma symptoms among adolescents: a cross-sectional study. Respir Res. 2020;21(1):300. doi: 10.1186/s12931-020-01569-9. Published 2020 Nov 16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Xiao L, Yin X, Di X, et al. Awareness and prevalence of e-cigarette use among Chinese adults: policy implications. Tob Control. 2022;31(4):498–504. doi: 10.1136/tobaccocontrol-2020-056114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhao Z, Zhang M, Wu J, et al. E-cigarette use among adults in China: findings from repeated cross-sectional surveys in 2015-16 and 2018-19. Lancet Public Health. 2020;5(12):e639–e649. doi: 10.1016/S2468-2667(20)30145-6. [DOI] [PubMed] [Google Scholar]
- 16.Huang J, Duan Z, Wang Y, Redmon PB, Eriksen MP. Use of Electronic Nicotine Delivery Systems (ENDS) in China: evidence from citywide representative surveys from five Chinese cities in 2018. Int J Environ Res Public Health. 2020;17(7):2541. doi: 10.3390/ijerph17072541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhao L, Mbulo L, Palipudi K, Wang J, King B. Awareness and use of e-cigarettes among urban residents in China. Tob Induc Dis. 2019;17:53. doi: 10.18332/tid/109904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.National Bureau of Statistics of China, Office of the Leading Group of the State Council for the Seventh National Population Census . Communiqué of the Seventh National Population Census (No. 3) National Bureau of Statistics of China; 2021. Accessed March 3, 2023. http://www.stats.gov.cn/english/PressRelease/202105/t20210510_1817188.html. [Google Scholar]
- 19.Kalsbeek WD, Bowling JM, Hsia J, Mirza S, Palipudi KM, Asma S. The Global Adult Tobacco Survey (GATS): sample design and related methods. SRMS; 2010. Accessed July 6, 2023. http://www.asasrms.org/Proceedings/y2010/Files/307559_58832.pdf. [Google Scholar]
- 20.Palipudi KM, Morton J, Hsia J, et al. Methodology of the Global Adult Tobacco Survey - 2008-2010. Glob Health Promot. 2016;23(2 Suppl):3–23. doi: 10.1177/1757975913499800. [DOI] [PubMed] [Google Scholar]
- 21.Dai H, Leventhal AM. Prevalence of e-cigarette use among adults in the United States, 2014-2018. JAMA. 2019;322(18):1824–1827. doi: 10.1001/jama.2019.15331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Gallus S, Lugo A, Stival C, et al. Electronic cigarette use in 12 European countries: results from the TackSHS Survey. J Epidemiol. 2023;33(6):276–284. doi: 10.2188/jea.JE20210329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kasza KA, Ambrose BK, Conway KP, et al. Tobacco-product use by adults and youths in the United States in 2013 and 2014. N Engl J Med. 2017;376(4):342–353. doi: 10.1056/NEJMsa1607538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mcneill A, Brose LS, Calder R, Bauld L, Robson D. Evidence review of e-cigarettes and heated tobacco products 2018: a report commissioned by Public Health England. PHE; 2018. Accessed March 14, 2023. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/684963/Evidence_review_of_e-cigarettes_and_heated_tobacco_products_2018.pdf. [Google Scholar]
- 25.Aly AS, Mamikutty R, Marhazlinda J. Association between harmful and addictive perceptions of e-cigarettes and e-cigarette use among adolescents and youth-a systematic review and meta-analysis. Children (Basel) 2022;9(11):1678. doi: 10.3390/children9111678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Soneji S, Barrington-Trimis JL, Wills TA, et al. Association between initial use of e-cigarettes and subsequent cigarette smoking among adolescents and young adults: a systematic review and meta-analysis. JAMA Pediatr. 2017;171(8):788–797. doi: 10.1001/jamapediatrics.2017.1488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhong J, Cao S, Gong W, Fei F, Wang M. Electronic cigarettes use and intention to cigarette smoking among never-smoking adolescents and young adults: a meta-analysis. Int J Environ Res Public Health. 2016;13(5):465. doi: 10.3390/ijerph13050465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wang W, Lu M, Cai Y, Feng N. Awareness and use of e-cigarettes among university students in Shanghai, China. Tob Induc Dis. 2020;18:76. doi: 10.18332/tid/125748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Adermark L, Galanti MR, Ryk C, Gilljam H, Hedman L. Prospective association between use of electronic cigarettes and use of conventional cigarettes: a systematic review and meta-analysis. ERJ Open Res. 2021;7(3):00976–2020. doi: 10.1183/23120541.00976-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lyu JC, Wang D, Mao Z, Ling PM. Evolution of media frames about e-cigarettes from 2004 to 2019: a content analysis of newspapers in China. Health Educ Res. 2022;36(4):456–466. doi: 10.1093/her/cyab019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lyu JC, Huang P, Ling PM. Electronic cigarette related topics with conflicting arguments in Chinese newspapers. Tob Induc Dis. 2022;20:25. doi: 10.18332/tid/145929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zhao D, Zuo Y, Urmi DS, et al. Perception of e-cigarette use among adult users in China: a mixed-method study. Int J Environ Res Public Health. 2020;17(8):2754. doi: 10.3390/ijerph17082754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wang X, Zhang X, Xu X, Gao Y. Perceptions and use of electronic cigarettes among young adults in China. Tob Induc Dis. 2019;17:17. doi: 10.18332/tid/102788. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data supporting this research are available from the authors on reasonable request.