Abstract
INTRODUCTION
The health risks associated with e-cigarettes are currently the focus of tobacco control efforts and public health initiatives. Given that China and Indonesia have the highest rates of adult smoking worldwide, it is imperative to gain a comprehensive understanding of e-cigarette prevalence among college students in these two nations.
METHODS
From May to June 2023, a cross-sectional study was employed to conduct an online questionnaire survey among college students in three universities located in Kunming (China) and Jakarta (Indonesia), respectively. The chi-squared test was utilized to compare the rates/ratios, while binary logistic regression analysis was applied to examine the factors influencing e-cigarette knowledge, attitude, and practice.
RESULTS
A total of 1327 individuals were included in the investigation. The proportion of Indonesian students (75.6%) with a high level of e-cigarette knowledge was lower than that observed among Chinese students (87.4%) (χ2=29.7, p<0.001). Additionally, the prevalence of e-cigarette use among Indonesian students (9.4%) was higher compared to their Chinese counterparts (3.0%) (χ2=22.32, p<0.001). Binary logistic regression analysis revealed that age, place of residence, studies, gender, and e-cigarette use by friends and family, significantly influenced knowledge levels and attitudes toward e-cigarettes in both countries (p<0.05).
CONCLUSIONS
Despite the positive knowledge, attitudes, and practices towards e-cigarettes among undergraduate students in both countries, a notable knowledge gap exists concerning the harmful effects of e-cigarettes. Chinese students had better e-cigarette knowledge and demonstrated lower usage rates, suggesting that heightened awareness plays a favorable role in preventing e-cigarette use. Furthermore, it becomes imperative for policymakers and health educators to focus on specific factors, such as the influence of close friends and family members, as well as the area of residence.
Keywords: knowledge, attitude, practice, e-cigarettes, China, Indonesia
INTRODUCTION
Tobacco claims the lives of over 8 million individuals annually, with the majority of these deaths occurring in low- and middle-income nations1. Based on data from the World Health Organization (WHO), China and Indonesia are two countries grappling with a high prevalence of smoking worldwide, standing at 26.6% and 34.5% in 2021, respectively2. Despite the persistent prevalence of tobacco smokers, electronic cigarettes (e-cigarettes) have gained popularity among young adults globally in recent years. The result of a study by Tehrani et al.3 showed the lifetime and current prevalence of e-cigarette vaping among adolescents globally were 23% and 11%, respectively3.
E-cigarettes, also known as vapes, are battery-operated devices that deliver nicotine and other substances4. Initially designed and marketed as a smoking cessation aid, e-cigarettes have aroused concerns about whether they are able to facilitate smoking cessation or trigger nicotine addiction, as well as the use of flammable products among young people5-7. Several studies have confirmed the deleterious effects of e-cigarettes, elucidating the presence of toxic and carcinogenic elements in both the liquid [propylene glycol (PG), diethylene glycol (DG) and nicotine], and the devices (chromium, nickel, and aluminum). These elements have been linked to impaired physiological function in various tissues and organs, resulting in acute and chronic diseases, including chronic obstructive pulmonary disease (COPD), cancers, and asthma8-10. Nicotine, in particular, is a highly toxic substance known for its addictive properties and detrimental impact on brain development, affecting the way the synapses are formed, particularly in younger populations11.
Although the health hazards of e-cigarettes have been scientifically established, there remains a significant knowledge and attitude gap among young individuals. Studies conducted in China and Indonesia have revealed prevalent misconceptions, with a substantial proportion of young people underestimating the harmful nature of e-cigarettes12,13. A study conducted in China found that 62.5% of university students who currently use e-cigarettes believed these products to be less addictive than conventional cigarettes, thereby augmenting their inclination toward using e-cigarettes14. Similarly, in Indonesia, 65% of students who currently use e-cigarettes perceived these products as less harmful than conventional cigarettes, which fueled their curiosity to experiment15.
E-cigarettes, originally developed by Hon Lik in China, have positioned the country as the global leader in manufacturing, accounting for approximately 80% of the world’s production in 201516,17. Nevertheless, despite its significant role in production, China exhibits a relatively low prevalence of e-cigarette use among adolescents, estimated to range between 0.9% and 1.6%18. Recognizing the potential public health implications, the Chinese government has enacted strict national regulations since 2018, as evident in the Healthy China Initiative. This initiative seeks to reduce smoking rates by 20% among individuals aged >15 years through comprehensive measures, including the prohibition of e-cigarette sales to teenagers, removal of e-cigarette advertisements from online platforms, restrictions on flavored e-cigarettes, and the prohibition of manufacturing and dissemination of cigarette-like items such as candies and toys19,20.
In contrast, introducing e-cigarettes to the Indonesian market in 2010 marked the commencement of a regulatory landscape characterized by minimal oversight21. Consequently, Indonesia exhibits a higher prevalence of e-cigarette use, ranging from 10.7% to 11.8% in Southeast Asian countries22. This elevated prevalence can be attributed, in part, to the divergent regulatory approach adopted by Indonesia. Notably, Indonesia has not ratified the Framework Convention on Tobacco Control (FCTC) and maintained unrestricted sales of e-cigarettes. The regulatory landscape is further characterized by the absence of a prohibition on the sale, labeling, flavor, or age restrictions pertaining to e-cigarettes, with the sole anticipated regulatory measure being a projected 15% increase in the excise tax rate on liquid vape products by 2023. The differential regulatory approaches between China and Indonesia underscore the need for comprehensive global strategies to address the burgeoning prevalence of e-cigarette use, considering both production and consumption dynamics23.
This is the first comprehensive examination of the knowledge, attitude, and practices associated with electronic cigarette use in adolescents in China and Indonesia. The findings can underscore the need for enhanced regulatory measures and educational programs to mitigate the prevalence of e-cigarette use among undergraduate students in both countries. The disparities identified in both countries will be of considerable importance in providing invaluable, evidence-based insights for researchers, healthcare practitioners, and policymakers, which is paramount to the informed design and implementation of interventions that address the specific needs and challenges associated with e-cigarette use in undergraduates.
METHODS
Research design and sampling
Between May and June 2023, we conducted a cross-sectional study utilizing an online self-administered questionnaire among students. The study sites were selected as Kunming, the capital city of Yunnan province in China, and Jakarta in Indonesia due to their comparable prevalence rates of current smoking among adults (33.7% in Yunnan24 and 32.2% in Jakarta25).
Three universities were randomly selected in each city, comprising one medical university and two non-medical universities from a predetermined list of institutions. Although an initial plan was to employ random sampling, limitations in accessing student enrollment records necessitated adopting a convenience sampling approach, whereby students were conveniently drawn from each university. The selection process ensured a proportional representation of the student population at each chosen institution. The survey targeted undergraduate students aged 18–25 years who were enrolled at their respective universities during data collection.
Previous studies indicated the prevalence of electronic cigarette users at approximately 5.6% in Previous studies indicated the prevalence of electronic cigarette users at approximately 5.6% in Kunming and 5.9% in Jakarta26,27. Therefore, the prevalence was set at 0.056 and the allowable error δ takes half of this value, so δ=0.028. Setting efficiency (deff) at 1.5, α at 0.05 for a two-sided test with Z1-α/2 equal to 1.96, we calculated the sample size required for this study, which resulted in an estimated minimum sample size of 600 participants per country to be recruited as part of our research efforts.
Survey measures
To ensure linguistic accessibility, the survey questionnaire was translated into local Chinese and Bahasa Indonesia. It consisted of four sections: basic information, knowledge about e-cigarettes, attitudes towards e-cigarettes, and personal e-cigarette use.
Basic information
The initial section focused on gathering demographic data encompassing gender, age, year in school (first to fourth), residence area (urban, rural), monthly living cost (≤300 US$, >300 US$), and whether they had family members or close friends engaged in tobacco or e-cigarette use (yes, no).
Knowledge
This section gauged participants’ comprehension of e-cigarettes through nine questions, each utilizing a binary response format (1 for correct and 0 for incorrect responses). A percentage threshold of 75% was established based on previous studies conducted by Aghar et al.28 and Bahiru et al.29. In our study, participants who correctly answered at least 75% (6/9) of the questions were categorized as having good knowledge, while those scoring below 75% were considered to have poor knowledge28,29.
Attitude
This section employed a scale incorporating nine items derived from various sources and tailored to our study’s objectives. Questions about attitudes towards e-cigarettes were framed on a binary scale with ‘agree’ assigned a score of ‘0’ and ‘disagree’ assigned a score of ‘1.’ Analogous to the knowledge section, a positive attitude was defined as scoring above 75% on the attitude scale. Participants who answered 75% (6/9) or more questions positively were classified as having a positive attitude, whereas those scoring below 75% were considered negative28,29. The positive attitudes encompassed the perception that e-cigarettes do not alleviate stress, lack social acceptability, are not intended for pleasure purposes, and are not considered alternative substitutes for tobacco cigarettes. The total scores were calculated by aggregating all responses indicating a positive attitude, with higher scores reflecting a more favorable standpoint of view.
Practice
The final section comprised nine questions assessing the prevalence of e-cigarette use among undergraduate students. Inquiries encompassed current e-cigarette use, smoking duration, frequency of smoking per day, time elapsed before starting to smoke after waking up, expenditure on e-cigarettes, ease of purchase, and preferred purchasing locations. For the item regarding e-cigarette use (yes, no), responses were categorized into two options: ‘currently using’ was scored as ‘1’, while ‘not currently using’ or ‘previously used but not anymore’ was scored as ‘2’.
Reliability test
A self-constructed questionnaire was employed as a measuring instrument for data collection. The reliability of the knowledge scales was assessed by conducting a pretest survey in April 2023 involving 20 students per country. The development of the questionnaire followed an ‘adapt-and-adopt’ approach, which was derived from a previous study on e-cigarette knowledge, attitude and practice (KAP)30. Content validation procedures were implemented, including a review by experts consisting of public health professionals and epidemiologists. The internal consistency of the questionnaire sections was evaluated using Cronbach’s alpha and Kappa techniques, yielding values of 0.99 and 0.69, respectively.
Statistical analysis
SPSS (version 27.0) was utilized for analysis. Descriptive statistics were computed, encompassing mean and standard deviation (SD) for quantitative variables, and frequency and percentage (%) for qualitative data. Chi-squared tests were employed to analyze differences in knowledge, attitude, and practice regarding e-cigarettes among undergraduate students from both countries. Bivariate logistic regression analysis was conducted to investigate the influencing factors of e-cigarette knowledge, attitude, and practice with adjusted odds ratios (AORs), 95% confidence intervals (CIs), and a significance level set at p<0.05. The models were adjusted for potential confounding factors, including gender, age, studies, year in school, residence area, living cost, living with smokers, family members using e-cigarettes, and close friends using e-cigarettes.
RESULTS
Demographic characteristics
This study enrolled 1327 participants, with 736 (55.5%) females and 591 (44.5%) males. Among the participants, 886 (66.8%) were non-medical students and 441 (33.2%) were medical students. A detailed demographic breakdown is presented in Table 1, revealing no significant differences between medical and non-medical students in both countries.
Table 1.
Demographic characteristics of university students from May to June 2023 in China and Indonesia (N=1327)
| Characteristics | Total (N=1327) n (%) | Country | |
|---|---|---|---|
| China (N=625) n (%) | Indonesia (N=702) n (%) | ||
| Sex | |||
| Male | 591 (44.5) | 232 (37.1) | 359 (51.1) |
| Female | 736 (55.5) | 393 (62.9) | 343 (48.9) |
| Age (years) | |||
| ≤20 | 1038 (78.2) | 435 (69.6) | 603 (85.9) |
| >20 | 289 (21.8) | 190 (30.4) | 99 (14.1) |
| Studies | |||
| Medical university | 441 (33.2) | 208 (33.3) | 233 (33.2) |
| Non-medical university | 886 (66.8) | 417 (66.7) | 469 (66.8) |
| Year in School | |||
| First–Second | 1142 (86.1) | 565 (90.4) | 577 (82.2) |
| Third–Fourth | 185 (13.9) | 60 (9.6) | 125 (17.8) |
| Residence | |||
| Urban | 831 (62.6) | 214 (34.2) | 617 (87.9) |
| Rural | 496 (37.4) | 411 (65.8) | 85 (12.1) |
| Monthly living cost (US$) | |||
| ≤300 | 965 (72.7) | 538 (86.1) | 427 (60.8) |
| >300 | 362 (27.3) | 87 (13.9) | 275 (39.2) |
| Smoking tobacco cigarettes | |||
| Yes | 137 (10.3) | 52 (8.3) | 85 (12.1) |
| No | 1190 (89.7) | 573 (91.7) | 617 (87.9) |
| Currently living with smokers | |||
| Yes | 346 (26.1) | 125 (20.0) | 221 (31.5) |
| No | 981 (73.9) | 500 (80.0) | 481 (68.5) |
| Family members ever use tobacco cigarettes | |||
| Yes | 298 (22.5) | 110 (17.6) | 188 (26.8) |
| No | 1029 (77.5) | 515 (82.4) | 514 (73.2) |
| Family members ever use e-cigarettes | |||
| Yes | 79 (6.0) | 43 (6.9) | 36 (5.1) |
| No | 1248 (94.0) | 582 (93.1) | 666 (94.9) |
| Close friends ever use tobacco cigarettes | |||
| Yes | 752 (56.7) | 164 (26.2) | 588 (83.8) |
| No | 575 (43.3) | 461 (73.8) | 114 (16.2) |
| Close friends ever use e-cigarettes | |||
| Yes | 387 (29.2) | 105 (16.8) | 282 (40.2) |
| No | 940 (70.8) | 520 (83.2) | 420 (59.8) |
Among the participants, 8.3% of Chinese students (n=52) and 12.1% of Indonesian students (n=85) reported smoking cigarettes. Furthermore, a substantial majority in both countries indicated that they did not live with smokers: 80.0% for Chinese students and 68.5% for Indonesian students. Regarding close friends who use tobacco cigarettes, the majority of Indonesian students (83.8%) and Chinese students (73%) responded negatively to this question.
Knowledge about e-cigarettes
A total of 1077 (81.2%) students demonstrated a good level of e-cigarette knowledge. Chinese students exhibited a higher level of knowledge about e-cigarettes (87.4%) compared to Indonesian students (75.6%), with a statistical significance (χ2=29.697, p<0.01). Notably, only 68 (5.1%) students were able to correctly answer all questions, with 53 Chinese students (8.5%) and 15 Indonesian students (2.1%), respectively.
The participants’ deficiency in knowledge about e-cigarette smoking became evident through the limited correct responses observed across several questions. Notably, a substantial knowledge gap was observed among the participants, particularly concerning the availability of smoking cessation services. Specifically, more than half of the Chinese students displayed insufficient understanding of the availability of smoking cessation services, with only 240 individuals (32.7%) demonstrating awareness of this crucial topic.
Examining the comprehension of the risk posed by e-cigarettes for cancer, Chinese students exhibited a heightened level of awareness at 50.6%, surpassing their Indonesian counterparts, who demonstrated a recognition rate of 49.4%. Similarly, regarding the perception that e-cigarettes are not less harmful than tobacco cigarettes, Chinese students displayed a higher knowledge level at 52.0%, while Indonesian students presented a corresponding rate of 48.0%. The above findings are summarized in Table 2.
Table 2.
Knowledge regarding e-cigarettes among undergraduate students from May to June 2023 in China and Indonesia (N=1327)
| Variable | Total (N=1327) n (%) | Country | χ2 | p | |
|---|---|---|---|---|---|
| China (N=625) n (%) | Indonesia (N=702) n (%) | ||||
| All answered correctly | 68 (5.1) | 53 (8.5) | 15 (2.1) | 27.36 | <0.001 |
| Knowledge level | 29.7 | <0.001 | |||
| Poor | 250 (18.8) | 79 (12.6) | 171 (24.4) | ||
| Good | 1077 (81.2) | 546 (87.4) | 531 (75.6) | ||
| The questions with the lowest correct response | |||||
| Knowing smoking cessation services | 733 (55.2) | 240 (32.7) | 493 (67.3) | 87.33 | <0.001 |
| Pose a lower risk for cancer | 725 (54.6) | 367 (50.6) | 358 (49.4) | 1.18 | 0.278 |
| Less harmful than tobacco | 766 (57.7) | 398 (52.0) | 368 (48.0) | 0.11 | 0.738 |
Attitude towards e-cigarettes
Our study revealed 87.6% of respondents were favorable toward e-cigarettes, yielding a significant chi-squared value (χ2=18.53, p<0.001). Indonesian students demonstrated a higher positive attitude with 641 individuals (91.3%), compared to their Chinese counterparts, where 522 individuals (83.5%) expressed a favorable attitude. A relatively noteworthy percentage of participants displayed a positive attitude towards some aspects of e-cigarettes.
More than half of students in both countries disagreed with the notion that ‘using e-cigarettes can alleviate stress’ (78.6% in China and 88.6% in Indonesia) (χ2=24.66, p<0.001).
Exploring the household dynamics, approximately 49.1% of the Chinese respondents reported permitting e-cigarette use within their homes. In contrast, an impressive majority of Indonesian participants (77.4%) expressed a prohibition of such activities within their households. This disparity is underscored by a substantial chi-square value of χ2=101.677 and statistical significance at p<0.001.
In terms of governmental regulations on e-cigarette use, both Chinese and Indonesian respondents expressed disagreement and that the government should not regulating the use of e-cigarettes. Specifically, 466 Chinese participants (74.6%) disagreed, while an overwhelming majority (97.6%) of Indonesian students similarly expressed disagreement with this notion (χ2=152.28, p<0.001). For further details see Table 3.
Table 3.
Attitude regarding e-cigarettes among undergraduate students from May to June 2023 in China and Indonesia (N=1327)
| Variable | Total (N=1327) n (%) | Country | χ2 | p | |
|---|---|---|---|---|---|
| China (N=625) n (%) | Indonesia (N=702) n (%) | ||||
| Gain superiority among my friends | |||||
| Agree | 100 (7.5) | 59 (9.4) | 41 (5.8) | 6.15 | 0.013 |
| Disagree | 1227 (92.5) | 566 (90.6) | 661 (94.2) | ||
| Give me more pleasure while using it | |||||
| Agree | 145 (10.9) | 66 (10.6) | 79 (11.3) | 0.16 | 0.686 |
| Disagree | 1182 (89.1) | 559 (89.4) | 623 (88.7) | ||
| Relieve stress after using e-cigarettes | |||||
| Agree | 214 (16.1) | 134 (21.4) | 80 (11.4) | 24.66 | <0.001 |
| Disagree | 1113 (83.9) | 491 (78.6) | 622 (88.6) | ||
| E-cigarettes make me feel fit and cool | |||||
| Agree | 163 (12.3) | 106 (17.0) | 57 (8.1) | 23.98 | <0.001 |
| Disagree | 1164 (87.7) | 519 (83.0) | 645 (91.9) | ||
| Socially acceptable to smoke e-cigarettes | |||||
| Agree | 276 (20.8) | 196 (31.4) | 80 (11.4) | 80 | <0.001 |
| Disagree | 1051 (79.2) | 429 (68.6) | 622 (88.6) | ||
| Allow people to smoke e-cigarettes in your home | |||||
| Agree | 466 (35.1) | 307 (49.1) | 159 (22.6) | 101.68 | <0.001 |
| Disagree | 861 (64.9) | 318 (50.9) | 543 (77.4) | ||
| Someone who uses e-cigarettes is not a smoker | |||||
| Agree | 203 (15.3) | 183 (29.3) | 20 (2.8) | 178.26 | <0.001 |
| Disagree | 1124 (84.7) | 442 (70.7) | 682 (97.2) | ||
| Government should not regulate the use of e-cigarettes | |||||
| Agree | 176 (13.3) | 159 (25.4) | 17 (2.4) | 152.28 | <0.001 |
| Disagree | 1151 (86.7) | 466 (74.6) | 685 (97.6) | ||
| E-cigarettes for pleasure | |||||
| Agree | 145 (10.9) | 118 (18.9) | 27 (3.8) | 76.78 | <0.001 |
| Disagree | 1182 (89.1) | 507 (81.1) | 675 (96.2) | ||
| Attitude level | |||||
| Negative | 164 (12.4) | 103 (16.5) | 61 (8.7) | 18.53 | <0.001 |
| Positive | 1163 (87.6) | 522 (83.5) | 641 (91.3) | ||
Figure 1.
Knowledge level among undergraduate students from May to June 2023 in China and Indonesia (N=1327)
E-cigarette practice
The prevalence of e-cigarette use in Indonesia (9.4%) was found to be higher than that in China (3%). Examining the duration of use within the last seven days, a notable proportion of Indonesian students (56.1%) reported using e-cigarettes for more than five days, while the majority of Chinese students (63.2%) reported only 1–2 days. Both countries demonstrated high frequencies of e-cigarette usage per day, with 47.4% of Chinese students and 68.2% of Indonesian students reporting a use of <20 times a day. Furthermore, over half of the participants in both countries purchased their e-cigarettes from authentic stores (73.7% in China and 81.8% in Indonesia). Notably, respondents in Kunming perceived the purchase of e-cigarettes as challenging (63.2%), whereas the majority in Indonesia found it easy (86.4%).
Concerning expenditure, approximately half of the Chinese students spent between 14–28 US$ on each purchase, while almost half of the Indonesian students spent <14 US$ per purchase. Regarding age at first try, individuals who first experimented with e-cigarettes predominantly occurred before the age of 18 years. Additionally, a significant proportion expressed no desire to quit using e-cigarettes, with 52.6% of students from China and 85.7% from Indonesia falling into this category. Detailed information regarding these findings is presented in Table 4.
Table 4.
Practice regarding e-cigarettes among undergraduate students from May to June 2023 in China and Indonesia (N=1327)
| Variable | Total (N=1327) n (%) | Country | χ2 | p | |
|---|---|---|---|---|---|
| China (N=625) n (%) | Indonesia (N=702) n (%) | ||||
| Currently using e-cigarettes | |||||
| Yes | 85 (6.4) | 19 (3) | 66 (9.4) | 22.32 | <0.001 |
| No | 1242 (93.6) | 606 (97) | 636 (90.6) | ||
| Number of days used within the last 7 days | |||||
| 1–2 | 20 (23.5) | 12 (63.2) | 8 (12.1) | 21.42 | <0.001 |
| 3–4 | 24 (28.3) | 3 (15.8) | 21 (31.8) | ||
| ≥5 | 41 (48.2) | 4 (21) | 37 (56.1) | ||
| Frequency of e-cigarette use per day | |||||
| Not daily | 9 (10.6) | 5 (26.3) | 4 (6.1) | 6.72 | 0.035 |
| <20 | 54 (63.5) | 9 (47.4) | 45 (68.2) | ||
| ≥20 | 22 (25.9) | 5 (26.3) | 17 (25.7) | ||
| Time of initiating use after waking-up | |||||
| Immediately after waking-up | 19 (22.4) | 8 (42.1) | 11 (16.7) | 5.88 | 0.053 |
| After 1–2 hours | 42 (49.4) | 8 (42.1) | 24 (51.5) | ||
| It varies | 24 (28.2) | 3 (15.8) | 21 (31.8) | ||
| Place of purchase of e-cigarettes | |||||
| Online shop | 17 (20) | 5 (26.3) | 12 (18.2) | 0.61 | 0.435 |
| Authentic store | 68 (77.6) | 14 (73.7) | 54 (81.8) | ||
| Ease of purchase | |||||
| Yes | 64 (75.3) | 7 (36.8) | 57 (86.4) | 19.45 | <0.001 |
| No | 21 (24.7) | 12 (63.2) | 9 (13.6) | ||
| Price per purchase (US$) | |||||
| <14 | 38 (44.7) | 6 (31.6) | 32 (48.5) | 2.51 | 0.285 |
| 14–28 | 28 (32.9) | 9 (47.4) | 19 (28.8) | ||
| >28 | 19 (22.4) | 4 (21) | 15 (22.7) | ||
| Price of e-cigarette liquid (US$) | |||||
| <4 | 50 (58.8) | 9 (47.4) | 41 (62.1) | 1.33 | 0.515 |
| 4–5 | 21 (24.7) | 6 (31.6) | 15 (22.7) | ||
| >5 | 14 (16.5) | 4 (21.1) | 10 (15.2) | ||
| Age of first try (years) | |||||
| <18 | 58 (68.2) | 9 (47.4) | 49 (74.2) | 4.92 | 0.027 |
| ≥18 | 27 (31.8) | 10 (52.6) | 17 (25.8) | ||
| Intention to quit | |||||
| Yes | 12 (14.1) | 9 (47.4) | 3 (4.5) | 22.31 | <0.001 |
| No | 73 (85.9) | 10 (52.6) | 63 (95.5) | ||
Factors associated with knowledge, attitude, and practice towards e-cigarettes
Binary logistic regression analysis was conducted to identify significant factors, incorporating three independent variables (knowledge, attitude, and practice) into the logistic regression models. The models were adjusted for potential confounding factors, including gender, age, studies, year in school, residence area, living cost, living with smokers, family members using e-cigarettes, and close friends using e-cigarettes. The same regression model was applied in both countries, and only the model variables that achieved significance after controlling for all covariates are presented in Table 5.
Table 5.
Logistic regression analyses association of sociodemographic factors with knowledge, attitude and practice of e-cigarettes among university students from May to June 2023 in China and Indonesia (N=1327)
| Variable | Influencing factors | Total AOR (95% CI) | Country | |
|---|---|---|---|---|
| China AOR (95% CI) | Indonesia AOR (95% CI) | |||
| Knowledge (Poor vs Good) | Medical (Ref: Non-medical) | 1.72 (1.277–2.321)** | 3.57 (2.36–5.41)** | |
| Living with smokers (Ref: No) | 2.20 (1.536–3.165)** | 3.25 (2.09–5.07)** | ||
| Third–fourth years (Ref: First–Second years) | 0.45 (0.22–0.93)* | |||
| Close friends use e-cigarettes (Ref: No) | 1.39 (1.030–1.894)* | |||
| Attitude (Positive vs negative) | >20 years old (Ref: ≤20 years old) | 0.61 (0.385–0.968)* | ||
| Rural (Ref: Urban) | 0.68 (0.473–0.993)* | |||
| Medical (Ref: Non-medical) | 0.59 (0.36–0.99)* | |||
| Living with smokers (Ref: No) | 2.43 (1.583–3.736)** | 5.29 (2.71–10.32)** | ||
| Practice (Use vs Not use) | Male (Ref: Female) | 3.07 (1.926–4.914)** | 3.82 (1.95–7.5)** | 2.96 (1.49–5.91)* |
| Medical (Ref: Non-medical) | 0.31 (0.19–0.73)* | |||
| Living with smokers (Ref: No) | 3.49 (2.24–5.43)** | 2.34 (1.15–4.8)* | 5.40 (2.92–10.02)** | |
| Family members use e-cigarettes (Ref: No) | 2.98 (1.71–5.2)** | 4.05 (1.67–9.86)* | 2.60 (1.17–5.79)* | |
AOR: adjusted odds ratio.
p<0.05,
p<0.01.
Students who did live with smokers displayed better knowledge about e-cigarettes compared to their counterparts not living with smokers (AOR=2.20; 95% CI: 1.536–3.165). However, students with more favorable attitudes towards e-cigarettes (AOR=2.43; 95% CI: 1.58–3.74) were likely to use e-cigarettes (AOR=3.49; 95% CI: 2.24–5.43). Moreover, medical students exhibited a better knowledge of e-cigarettes when compared to non-medical students (AOR=1.72; 95% CI: 1.28–2.32).
Distinguishing factors influencing e-cigarette knowledge and attitudes exhibited notable variations between the two countries. Chinese medical students exhibited a positive attitude towards the harm caused by e-cigarettes compared with non-medical students (AOR=0.596; 95% CI: 0.358–0.992). A distinctive pattern was observed among medical students in China, revealing a lower likelihood of engaging in e-cigarette use (AOR=0.31; 95% CI: 0.189–0.730), while those living with people who used e-cigarettes were more likely to adopt such behavior themselves (AOR=2.34; 95% CI : 1.15–4.8).
In Indonesia, medical students demonstrated substantial knowledge regarding e-cigarettes (AOR=3.57; 95% CI: 2.36–5.41). Students who lived with smokers displayed better knowledge about e-cigarettes compared to their counterparts not living with smokers (AOR=3.25; 95% CI: 2.09–5.07) and displayed a more positive attitude towards the harm caused by e-cigarettes (AOR=5.29; 95% CI: 2.71–10.32). However, they had an increased likelihood of using e-cigarettes themselves (AOR=5.40; 95% CI: 2.92–10.02). Lastly, Indonesian students in their third–fourth years possessed considerable knowledge about e-cigarettes (AOR=0.45; 95% CI: 0.22–0.93). All statistically significant results are presented in Table 5.
DISCUSSION
E-cigarettes, marketed as a potential harm reduction strategy for tobacco cigarette smoking, raise concerns regarding safety and efficacy, with limited knowledge of their health effects31. Given the escalating prevalence of e-cigarette use among young undergraduate students, this study aimed to investigate the knowledge, attitudes and practices pertaining to e-cigarettes in Kunming (China) and Jakarta (Indonesia).
Our findings highlight the need for students in both countries to receive evidence-based education on e-cigarettes. The study identified variations in e-cigarette knowledge between Indonesia (75.6%) and China (87.4%), surpassing rates reported in previous studies in Hangzhou, China (42.6%)32, and in Indonesia (37.9%)33. This discrepancy may stem from potential differences in health literacy, particularly among the surveyed medical students. Despite generally good knowledge, a substantial portion of students lacked awareness of smoking cessation services (55.2%) and believed e-cigarettes posed a lower cancer risk (54.6%). Additionally, a significant proportion perceived e-cigarettes as safer than traditional cigarettes (57.7%), emphasizing insufficient comprehension of associated health risks. This is consistent with previous research conducted by Canzan et al.24, which revealed that students who were not exposed to information about e-cigarettes were more likely to consume these products due to a lack of knowledge of their chemical makeup34.
The prevalence of e-cigarette use varied between countries, with Chinese students exhibiting lower rates compared to Indonesian students, possibly influenced by nationwide regulations. China’s stringent regulations, including flavor bans and high taxes, contrast with Indonesia’s limited regulations, contributing to the observed differences. Specifically, the Chinese government has implemented regulations on e-cigarettes, such as banning flavored varieties other than tobacco flavor domestically and selling through vending machines and online platforms. Additionally, the Chinese government imposes high taxes on e-cigarettes19,20. On the contrary, in Indonesia, there are no specific regulations regarding e-cigarettes except for an anticipated 15% increase in the excise tax rate on liquid vape by 202323.
Positive attitudes toward e-cigarette use were more prevalent among Indonesian students (91.3%) compared to Chinese students (83.5%), indicating a shift from prior studies. Consistent with existing literature, widespread support for government regulation emphasizes the need for clear policies on e-cigarette use. For instance, Aghar et al.28 reported that 70% of respondents believed that governmental regulations should be imposed on e-cigarettes. Our findings have revealed a significant association between e-cigarette use and factors such as gender, smoking status of friends, cohabitation with smokers, and urban residence. The influence of social factors is crucial in shaping adolescent e-cigarette use, particularly due to their susceptibility to peer and familial influences35. Moreover, urban students who are exposed to social media and have increased accessibility exhibit a higher propensity for experimenting with e-cigarettes. These findings emphasize the need to consider these factors in designing effective intervention strategies36.
The study emphasizes the urgent need for policymakers, particularly in Indonesia, to establish clear regulations and educational programs targeting undergraduate students to curb the rising prevalence of e-cigarette use. Despite participants’ good knowledge and positive attitudes, the alarming increase in usage in Indonesia calls for immediate action. Disparities with prior studies may stem from variations in study populations, as our focus on medical and non-medical students differs from previous research on the general population. Recommendations include tailored educational interventions and regulatory measures to address the evolving landscape of e-cigarette use among young individuals.
Limitations
There are four primary limitations in this study. To enhance the comprehensiveness of the current understanding of e-cigarette use, future surveys should encompass a broader range of universities in both countries to capture a more representative sample of the target population. Secondly, longitudinal data should be considered to establish causal relationships between variables and explore potential confounding factors further. Thirdly, it is essential to conduct extensive research on gender-specific factors and attitudes towards e-cigarette use as they can significantly influence behaviors. Finally, despite employing representative sampling techniques and rigorous quality control throughout the project design and implementation process, incorporating stratified random sampling with precise calculations for sample weights would improve accuracy.
CONCLUSIONS
Despite the positive knowledge, attitudes, and practices towards e-cigarettes among undergraduate students in both countries, a notable knowledge gap exists concerning the harmful effects of e-cigarettes. This gap is consistent with findings from analogous studies, indicating a widespread lack of understanding among participants about the potential risks associated with e-cigarette use. While the current research reveals positive attitudes toward e-cigarettes, a significant proportion of participants still perceive these products as posing a lower risk for cancer and consider them to be safer when compared to traditional cigarettes. Furthermore, disparities in e-cigarette practices are evident, with Indonesia exhibiting a higher prevalence compared to China. In light of these findings, it becomes imperative for policymakers and health educators to focus on specific factors, such as the influence of close friends and family members, as well as the area of residence. Targeting these factors in preventive measures is crucial for controlling the consequences associated with e-cigarette use. This study underscores the necessity for evidence-based education regarding e-cigarettes among students in both countries. Initiating awareness campaigns among students is a crucial first step toward reducing the incidence rate within the healthcare system. Additionally, there is a pressing need for governmental facilitation and promotion of regulations pertaining to e-cigarettes. This is especially pertinent for the Indonesian government, emphasizing the importance of establishing clear regulations on e-cigarettes to safeguard public health.
ACKNOWLEDGMENTS
The authors would like to express their sincere appreciation and gratitude for all those who participated. The authors are grateful to the Kunming Medical University for the technical support provided to publish this study.
Funding Statement
FUNDING This study was supported by a grant from the Philosophy and Social Science Innovation Team of Yunnan Province (2024CX08) and Provincial Talent Program for Young Scholar and Technical Reserve Personnel (202305AC160046).
CONFLICTS OF INTEREST
The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none was reported.
ETHICAL APPROVAL AND INFORMED CONSENT
Ethical approval was obtained from the ethics committee of the Kunming Medical University (Approval number: KMMU2022MEC027). Participants provided informed consent.
DATA AVAILABILITY
Data sharing is not applicable to this article as no new data were created.
AUTHORS’ CONTRIBUTIONS
HR and RD: conceived the study. BTM, YQD, YJS, PL and YYD: acquisition, interpretation and analysis of the data. HR, CFY and YC: drafted the original manuscript. YC and RD: revision of the work. All authors: reviewed, edited, and approved the final version of the manuscript.
PROVENANCE AND PEER REVIEW
Not commissioned; externally peer reviewed.
REFERENCES
- 1.Newan J, Nurfaiza MW. Policy design, non-design, and anti-design: the regulation of e-cigarettes in Indonesia. Policy Studies. 2022:43(2):226-243. doi: 10.1080/01442872.2019.1708887 [DOI] [Google Scholar]
- 2.World Health Organization . WHO report on the global tobacco epidemic, 2021. WHO; 2022. Accessed June 18, 2024. https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/indonesia/indonesia-national-2021----2011-comparison-factsheet.pdf [Google Scholar]
- 3.Tehrani H, Rajabi A, Ghelichi-Ghojogh M, Nejatian M, Jafari A. The prevalence of electronic cigarettes vaping globally: a systematic review and meta-analysis. Arch Public Health. 2022;80(1):240. doi: 10.1186/s13690-022-00998-w [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 4.Klein MD, Sokol NA, Stroud LR. Electronic cigarettes: common questions and answers. Am Fam Physician. 2019;100(4):227-235. [PMC free article] [PubMed] [Google Scholar]
- 5.Goniewicz ML, Knysak J, Gawron M, et al. Levels of selected carcinogens and toxicants in vapour from electronic cigarettes. Tob Control. 2014;23(2):133-139. doi: 10.1136/tobaccocontrol-2012-050859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Besaratinia A, Tommasi S. An opportune and unique research to evaluate the public health impact of electronic cigarettes. Cancer Causes Control. 2017;28:1167–1171. doi: 10.1007/s10552-017-0952-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Eriksen MP, Mackay J, Shafey O, et al. The tobacco atlas. 3rd ed. American Cancer Society; 2012. Accesssed June 18, 2024. www.TobaccoAtlas.org [Google Scholar]
- 8.Christiani DC. Vaping-induced acute lung injury. N Engl J Med. 2020;382(10):960-962. doi: 10.1056/NEJMe1912032 [DOI] [PubMed] [Google Scholar]
- 9.Foxon F, Selya A, Gitchell J, Shiffman S. Population-level counterfactual trend modelling to examine the relationship between smoking prevalence and e-cigarette use among US adults. BMC Public Health. 2022;22(1):1940. doi: 10.1186/s12889-022-14341-z [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 10.Sapru S, Vardhan M, Li Q, Guo Y, Li X, Saxena D. E-cigarettes use in the United States: reasons for use, perceptions, and effects on health. BMC Public Health. 2020;20(1):1518. doi: 10.1186/s12889-020-09572-x [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.World Health Organization . Global adult tobacco survey: Indonesia report 2011. WHO; 2012. Accessed June 18, 2024. https://iris.who.int/handle/10665/205137 [Google Scholar]
- 13.Hairi FM, Goh KT, Driezen P, et al. Reasons for using e-cigarettes and support for e-cigarette regulations: findings from the 2020 ITC Malaysia Survey. Tob Induc Dis. 2022;20:33. doi: 10.18332/tid/146364 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.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]
- 15.Bigwanto M, Nurmansyah IM, Orlan E, et al. Determinants of e-cigarette use among a sample of high school students in Jakarta, Indonesia. International Journal of Adolescent Medicine and Health. 2019;34(3):20190172. doi: 10.1515/ijamh-2019-0172 [DOI] [PubMed] [Google Scholar]
- 16.Duan Z, Wang Y, Huang J, Redmon PB, Eriksen MP. Reasons why chinese smokers prefer not to use electronic cigarettes. Tob Induc Dis. 2020;18:104. doi: 10.18332/tid/130477 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.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]
- 18.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]
- 19.Tan X, Liu X, Shao HJ. Healthy China 2030: a vision for health care. Value in Health Regional Issues. 2017;12:112-114. doi: 10.1016/j.vhri.2017.04.001 [DOI] [PubMed] [Google Scholar]
- 20.Dai L, He Y, Tan Y, Yu Z, Zhu J. Online e-cigarette information exposure and its association with e-cigarette use among adolescents in Shanghai, China. Int J Environ Res Public Health. 2022;19(6):3329. doi: 10.3390/ijerph19063329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pitriyanti L, Wirawan DN, Sari KA, et al. Factors affecting the use of electronic cigarettes in Udayana University students. PHPMA journal. 2018;6(2):88-92. doi: 10.15562/phpma.v6i2.42 [DOI] [Google Scholar]
- 22.Jane Ling MY, Abdul Halim AFN, Ahmad D, Ahmad N, Safian N, Mohammed Nawi A. Prevalence and associated factors of e-cigarette use among adolescents in southeast Asia: a systematic review. Int J Environ Res Public Health. 2023;20(5):3883. doi: 10.3390/ijerph20053883 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bigwanto M, Arumsari I, Fauzi, R. The portrayal of electronic cigarettes in Indonesia: a content analysis of news media. BMC Public Health 2023;23(52). doi: 10.1186/s12889-022-14886-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Liu Z, Li YH, Cui ZY, et al. Prevalence of tobacco dependence and associated factors in China: findings from nationwide China Health Literacy Survey during 2018-19. Lancet Reg Health West Pac. 2022;24:100464. doi: 10.1016/j.lanwpc.2022.100464 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ginawang A. Analisis Determinan Perilaku Merokok Remaja (10-24 Tahun) Pada Masa Pandemi Covid-19 di DKI Jakarta Tahun 2021. Universitas Pembangunan Nasional Veteran Jakarta; 2021. Accessed June 18, 2024. https://repository.upnvj.ac.id/13414/ [Google Scholar]
- 26.Wahidin M, Rini H, Ira MA. Determinan Penggunaan Rokok Elektronik pada Remaja di Jakarta Pusat Tahun 2020. Media Penelitian dan Pengembangan Kesehatan. 2021;31(4):257-266. [Google Scholar]
- 27.He LJ, Huang J. The cognition and use status of electronic cigarettes among college students in Kunming. 2018;37(9):820-824. [Google Scholar]
- 28.Aghar H, El-Khoury N, Reda M, et al. Knowledge and attitudes towards e-cigarette use in Lebanon and their associated factors. BMC Public Health. 2020;20(1):278. doi: 10.1186/s12889-020-8381-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Bahiru A, Molla W, Yizengaw L, Mekonnen SA, Jemberu WT. Knowledge, attitude and practice related to rabies among residents of Amhara region, Ethiopia. Heliyon. 2022;8(11):e11366. doi: 10.1016/j.heliyon.2022.e11366 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Alhajj MN, Al-Maweri SA, Folayan MO, et al. Knowledge, beliefs, attitude, and practices of e-cigarette use among dental students: a multinational survey. PLoS One. 2022;17(10):e0276191. doi: 10.1371/journal.pone.0276191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Hafiz A, Rahman MM, Jantan Z. Factors associated with knowledge, attitude and practice of e-cigarette among adult population in KOSPEN areas of Kuching district, Sarawak, Malaysia. 2019;6(6):2300. doi: 10.18203/2394-6040.ijcmph20192288 [DOI] [Google Scholar]
- 32.Fang J, Ren J, Ren L, Max W, Yao T, Zhao F. Electronic cigarette knowledge, attitudes and use among students at a university in Hangzhou, China. Tob Induc Dis. 2022;20:09. doi: 10.18332/tid/144230 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sunarti S, Sansuwito, TB, Al-Jaberi MA, et al. Factors affecting e-smoking behavior in public health students of University Muhammadiyah Kalimantan Timur. BIO Web Conf. 2022;54. doi: 10.1051/bioconf/20225400008 [DOI] [Google Scholar]
- 34.Canzan F, Finocchio E, Moretti F, et al. Knowledge and use of e-cigarettes among nursing students: results from a cross-sectional survey in north-eastern Italy. BMC Public Health. 2019;19(1):976. doi: 10.1186/s12889-019-7250-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hoffman AC, Salgado RV, Dresler C, et al. Flavour preferences in youth versus adults: a review. Tobacco Control 2016;25:ii32-ii39. doi: 10.1136/tobaccocontrol-2016-053192 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Salafia CC, Joanne D. Social media and vaping in college students: the role of social norms and motives. The Journal of Social Media in Society. 2022;11(1):3-26. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data sharing is not applicable to this article as no new data were created.