INTRODUCTION

Tobacco smoking is a major risk factor for disability, chronic diseases, multiple cancers and premature mortality1. Globally, tobacco use constitutes a public health challenge, causing more than seven million preventable deaths each year2. Although control strategies have contributed to an 8.7-percentage-point reduction in tobacco use between 2007 and 20233, new devices have emerged on the market as substitutes for conventional cigarettes4. These devices, commonly referred to as electronic nicotine (ENDS) and non-nicotine (ENNDS) delivery systems, including e-cigarettes, nicotine pouches and heated tobacco products, have been introduced in high-income countries since 20075. Their uptake has been driven by perceptions of reduced harm compared with combustible cigarettes and their potential role in supporting smoking cessation6. However, existing evidence suggests that the use of e-cigarettes may be associated with adverse effects on respiratory, cardiovascular, neurological, gastrointestinal and oral health7.

In recent years, the use of e-cigarettes has increased markedly among adolescents and young adults, including those without a prior history of conventional cigarette smoking8. Globally, an estimated 16.8% of young people report ever using e-cigarettes and 4.8% report current use, although prevalence varies by sex, region and sociocultural context9-11. E-cigarettes are portable, battery-powered devices that replicate the behavioral and physiological features of conventional cigarettes. They deliver nicotine, often in its protonated form, together with solvents, flavorings and other toxic compounds that may independently or synergistically harm health and increase addictive potential7,12,13. Adolescents are particularly at risk, as exposure during this critical developmental stage may be associated with medium- and long-term health effects and an increased risk of subsequent conventional cigarette use14,15. Recent increases in dual use (i.e. concurrent smoking cigarettes and e-cigarettes) further indicate escalating nicotine dependence and underscore the urgency of public health action16.

In response to the increasing use of e-cigarettes among adolescents, the World Health Organization has reinforced its MPOWER strategy (Monitor tobacco use and prevention policies, Protecting people from tobacco smoke, Offering help to quit tobacco use, Warning about the dangers of tobacco, Enforcing bans on advertising, promotion and sponsorship and Raising taxes on tobacco)3. The latest report indicates that 133 countries regulate e-cigarettes in some form, including sales bans, health warnings and advertising restrictions, etc.3. However, many countries still lack regulation or systematic monitoring of e-cigarette use3. Adolescents remain a critical focus of these efforts, as targeted advertising, perceptions of reduced harm and the widespread availability of appealing flavors continue to drive uptake in this age group17. In Latin America and the Caribbean, available studies from Guatemala, Mexico, Ecuador, Colombia and Argentina estimate an overall prevalence of e-cigarette use of 18.9%18. Within the region, current use ranges from 2.9% in Guatemala to 15.8% among Colombian adolescents, underscoring substantial variation across countries18. Although several Latin American countries have reported data on e-cigarette prevalence, Peru lacks such evidence, limiting the ability to design context-specific policies18.

Therefore, this study addresses the research gap in Peru by analyzing population-based data on school-aged adolescents’ e-cigarette use patterns, including current, ever and dual use. In addition, the reasons for using and accessing e-cigarettes were assessed. Given the higher prevalence among boys10, sex-disaggregated analyses were undertaken.

METHODS

Study design and data sources

We conducted a secondary data analysis using data from the 2024 National survey on drug use in secondary school students, implemented in Peru by the National Commission for Development and Life Without Drugs (DEVIDA, in Spanish)19. The survey aimed to characterize current patterns of licit, illicit, and medicinal substance use among the school population. We collected data between August and September 2024 in urban areas with 30000 or more inhabitants19. The questionnaire used in the survey comprised 30 sections and a total of 138 questions. The instrument was piloted in two public schools and one private school in Lima, involving 353 students in first through fifth years of secondary education.

Although a formal psychometric validation was not performed, the questionnaire underwent a content review, internal testing of the optical answer sheet and a pilot study to ensure clarity, feasibility and consistency before national implementation19. The survey covered the 24 regions of the country and the Constitutional Province of Callao, with territorial representation across the three main geographical domains: coast, highlands and jungle.

Study population and sample

The target population comprised students in the first to fifth years of secondary education, enrolled in public or private schools located in urban areas19. A stratified two-stage probabilistic sampling design, independent by region, was applied. In the first stage, schools were randomly selected, followed by the random selection of classes within each chosen school19. According to the official technical report, 406 schools (272 public and 134 private) across 72 cities were initially included in the sampling frame19. The final fieldwork collected data from 402 schools and 2004 classes, yielding a total of 45345 participants19. After applying expansion factors, these participants represent a total population of 1925076 secondary school students nationwide. The sampling design incorporated correction factors and adjustments for non-response rates19.

Of the 45345 participants included in the database, 45089 provided a valid response to the question on lifetime e-cigarette use. A total of 256 participants (0.56%) did not respond to this question and were therefore excluded from the analytical sample of the present study.

Variables

For the present analysis, we considered outcomes related to e-cigarette and tobacco use, as well as sociodemographic variables to characterize the study population. The outcomes are defined in Table 1.

Table 1

Outcomes used to determine the prevalence and patterns of e-cigarette use among school-aged adolescents

OutcomesDescription
E-cigarette
Age of initiation of e-cigarette useAge (in years) at first e-cigarette use
Ever e-cigarette userUse of an e-cigarette at least once in lifetime (yes, no)
12-month e-cigarette userUse of an e-cigarette in the past 12 months (yes, no)
Frequency of e-cigaretteNumber of days of e-cigarette use in the past 12 months, classified as 1–5, 6–19, or ≥20 days
Current e-cigarette userUse of an e-cigarette in the past 30 days (yes, no)
Nicotine content in the e-cigaretteWhether the e-cigarette used contained nicotine (yes, no)
Conventional cigarette
Age of initiation of conventional cigarette useAge (in years) at first conventional cigarette use
Frequency of conventional cigaretteNumber of days of conventional cigarette use in the past 12 months, classified as 1–5, 6–19, or ≥20 days
Dual use
Dual user in the past 30 daysConcurrent use of e-cigarettes and conventional cigarettes in the past 30 days (yes, no)
Dual user in the past 12 monthsConcurrent use of e-cigarettes and conventional cigarettes in the past 12 months (yes, no)
Other
Sources of accessReported sources of e-cigarette acquisition: corner stores/neighborhood shops, convenience stores, supermarkets, liquor stores, gas station shops, specialized shops, your own home, friends’ homes, relatives’ homes, home delivery
Motivations for e-cigarette useReported reasons for e-cigarette use: easy to carry, ease of use, because of the flavor, healthier alternative to conventional cigarettes, less odor than conventional cigarettes, curiosity, influence of friends or family, to manage stress or anxiety, more socially accepted than smoking conventional cigarettes

Sociodemographic variables

Sociodemographic variables included age, recorded in completed years at the time of the survey and categorized as 11–13, 14–16 and 17–21 years; school grade (first to fifth year of secondary education); and type of school (public or private). In addition, we recorded participants’ school shift (morning, afternoon, or full-day), geographical location (Metropolitan Lima or the rest of the country) and nationality (Peruvian, Venezuelan, or other). Prevalence estimates for e-cigarette and tobacco outcomes, as well as sociodemographic characteristics, were disaggregated by sex (boys, girls), as recorded through interviewer observation in the DEVIDA survey.

Statistical analysis

Analyses were conducted using Stata/SE 18.0 (StataCorp LLC, College Station, TX, USA) and a p<0.05 was considered statistically significant. The svyset command for survey analysis was applied to account for the complex sampling design and sampling weights. Standard errors were estimated using the Taylor series linearization method and the centered option was used to handle primary sampling units with a single stratum.

Weighted means and standard deviations (SD) were calculated for age and proportions with 95% confidence intervals (CI) were estimated for categorical variables, both for the total sample and disaggregated by sex. Mean differences between groups and their 95% confidence intervals were calculated using the lincom command after adjusting for survey design. An additional analysis was conducted to assess access to and reasons for e-cigarette use by school type (public, private). Group comparisons were performed using a t-test for continuous variables and the Rao–Scott corrected chi-squared test to examine differences in use patterns. Subpopulation analyses were conducted with the subpop option to ensure valid estimates under the complex survey design.

RESULTS

We included a total of 45089 respondents in the analysis. Of them, 50% were girls (n=22534) and the mean age was 14.4 years (SD=1.5). Most participants were in the first (21.3%) or second (21.7%) year of secondary school, attended public schools (68.0%) in the morning shift (62.3%) and 36.5% were located in Metropolitan Lima. There are sex differences in specific sociodemographic characteristics. Girls had a higher proportion of Venezuelan origin (p=0.003) and were more likely to enroll in full-day schools (p<0.001), whereas boys had a higher proportion aged 17–21 years (p<0.001) and were more likely to attend public schools (p<0.001). Further details of sociodemographic characteristics by sex are shown in Table 2.

Table 2

Sociodemographic characteristics of participants in the 2024 National Survey on Drug Use in Secondary School Students, Peru (N=45089)

CharacteristicsTotal
(n=45089)
Boys
(n=22555)
Girls
(n=22534)
p
nWeighted %
(95% CI)
nWeighted %
(95% CI)
nWeighted %
(95 % CI)
Age (years), mean (SD)4508914.4 (1.5)2255514.5 (1.5)2253414.4 (1.5)0.001
Age (years)
11–131370731.0 (30.4–31.7)666230.0 (29.0–30.9)704532.1 (31.2–33.0)<0.001
14–162800861.4 (60.7–62.1)1401761.8 (60.8–62.8)1399161.0 (60.0–61.9)
17–2133747.6 (7.2–8.0)18768.2 (7.7–8.8)14986.9 (6.5–7.4)
Nationality
Peruvian4334795.4 (95.1–95.7)2163795.2 (94.7–95.6)2171095.7 (95.2–96.1)0.003
Venezuelan6562.1 (1.9–2.3)3112.0 (1.7–2.3)3452.2 (1.9–2.6)
Other10862.5 (2.3–2.7)6072.8 (2.5–3.2)4792.1 (1.8–2.4)
Grade
First945821.3 (20.7–21.9)471521.2 (20.4–22.1)474321.4 (20.6–22.2)0.085
Second943421.7 (21.1–22.3)468721.9 (21.1–22.8)474721.5 (20.8–22.4)
Third905419.7 (19.2–20.3)446319.5 (18.7–20.3)459119.9 (19.1–20.7)
Fourth892918.7 (18.2–19.3)446118.1 (17.4–18.9)446819.3 (18.5–20.1)
Fifth821418.6 (18.0–19.1)422919.2 (18.4–20.0)398517.9 (17.2–18.7)
Type of school
Public3267568.0 (67.3–68.7)1611366.0 (64.9–67.0)1656270.0 (69.0–71.0)<0.001
Private1241432.0 (31.3–32.7)644234.0 (33.0–35.1)597230.0 (29.0–31.0)
School shift
Morning2602062.3 (61.6–62.9)1309762.8 (61.9–63.7)1292361.7 (60.8–62.6)<0.001
Afternoon1243125.9 (25.3–26.4)622626.7 (25.9–27.5)620525.1 (24.3–25.9)
Full day663811.9 (11.5–12.3)323210.5 (10.0–11.0)340613.2 (12.6–13.8)
Location
Metropolitan Lima401136.5 (35.7–37.3)198436.5 (35.3–37.6)202736.6 (35.5–37.7)0.885
Rest of the country4107863.5 (62.7–64.3)2057163.5 (62.4–64.7)2050763.4 (62.3–64.5)

[i] Percentages and 95% confidence intervals are weighted and account for the complex survey design. Group comparisons by sex were performed using Student’s t-test for continuous variables and Rao–Scott chi-squared test for categorical variables.

In the overall sample, the mean age of initiation was 14.9 years (SD=1.5) for conventional cigarette use and 14.9 years (SD=1.4) for e-cigarette use. When disaggregated by sex, girls had a younger mean age of initiation for conventional cigarette use (14.7 [SD=1.4] vs 15.0 [SD=1.6]; mean age difference: 0.28; 95% CI: 0.18–0.39) and for e-cigarette use (14.7 [SD=1.3] vs 15.0 [SD=1.4]; mean age difference: 0.26; 95% CI: 0.16–0.36) compared with boys. The prevalence of ever e-cigarette use was 16.0% (95% CI: 15.5–16.6). This prevalence was higher among girls than among boys, with a 2.1 percentage-point difference (17.1% vs 15.0%, p<0.001). In addition, the prevalence of 12-month e-cigarette use was 10.9% (95% CI: 10.5–11.3), with a higher prevalence among girls than among boys (11.5% vs 10.3%, p=0.015). For this outcome, most participants (71.6%) reported e-cigarette use on 1–5 days in the past 12 months, whereas a smaller proportion reported use on ≥20 days. No differences were observed by sex (Table 3).

Table 3

Prevalence, age of initiation, and patterns of e-cigarette and conventional cigarette use among Peruvian secondary school students, 2024 (n=45089)

CharacteristicsTotal
(n=45089)
Boys
(n=22555)
Girls
(n=22534)
p
nWeighted %
(95% CI)
nWeighted %
(95% CI)
nWeighted %
(95 % CI)
Age of initiation of e-cigarette use (years), mean (SD)649314.9 (1.4)315915.0 (1.4)333414.7 (1.3)<0.001
Age of initiation of conventional cigarette use (years), mean (SD)597914.9 (1.5)322815.0 (1.6)275114.7 (1.4)<0.001
Ever e-cigarette user649316.0 (15.5–16.6)315915.0 (14.3–15.8)333417.1 (16.3–17.8)<0.001
12-month e-cigarette user441610.9 (10.5–11.3)217610.3 (9.7–11.0)224011.5 (10.8–12.1)0.015
Frequency of use (days)
1–5312771.6 (69.6–73.6)150770.5 (67.5–73.3)162072.6 (69.8–75.2)0.199
6–1956812.7 (11.3–14.2)26812.2 (10.2–14.5)30013.1 (11.2–15.2)
≥2066615.7 (14.2–17.4)36717.3 (15.0–19.8)29914.3 (12.3–16.7)
Current e-cigarette user27796.9 (6.6–7.3)13986.8 (6.3–7.3)13817.0 (6.5–7.6)0.508
Type of e-cigarette
No nicotine122545.3 (42.5–48.1)62145.7 (41.8–49.6)60444.9 (41.0–48.9)0.802
With nicotine136554.7 (51.9–57.5)69154.3 (50.4–58.2)67455.1 (51.1–59.0)
Dual user in the past 12 months21785.1 (4.8–5.4)11905.4 (5.0–5.9)9884.8 (4.4–5.3)0.057
Frequency of e-cigarette use (days)
1–5148970.0 (67.1–72.7)79168.5 (64.6–72.2)69871.6 (67.4–75.6)0.529
6–1929712.2 (10.5–14.2)16512.8 (10.4–15.6)13211.5 (9.1–14.4)
≥2036317.8 (15.6–20.4)21218.7 (15.7–22.1)15116.8 (13.5–20.7)
Frequency of cigarette use (days)
1–5145369.1 (66.2–71.9)76265.4 (61.3–69.2)69173.4 (69.1–77.4)0.023
6–1927413.2 (11.3–15.5)15314.7 (11.9–18.1)12111.5 (9.0–14.6)
≥2036817.6 (15.4–20.1)24019.9 (16.9–23.2)12815.0 (11.9–18.9)
Dual user in the past 30 days11642.7 (2.4–2.9)6533.0 (2.6–3.3)5112.3 (2.1–2.6)0.005
Type of e-cigarette
No nicotine44638.9 (35.0–42.9)25539.4 (34.1–44.9)19138.2 (32.5–44.3)0.773
With nicotine67561.1 (57.1–65.0)37760.6 (55.1–65.9)29861.8 (55.7–67.5)

[i] Percentages and 95% confidence intervals are weighted and account for the complex survey design. Group comparisons by sex were performed using Student’s t-test for continuous variables and Rao–Scott chi-squared test for categorical variables.

For current e-cigarette use, the prevalence was 6.9% (95% CI: 6.6–7.3) in the overall sample, with no differences by sex. Of these users, more than half reported using nicotine-containing e-cigarettes (54.7%). Moreover, the prevalence of dual use in the last 12 months (i.e. concurrent use of cigarette smoking and e-cigarette) was 5.1% (95% CI: 4.8–5.4). For this outcome, the most common frequency of use for conventional cigarettes and e-cigarettes was 1–5 days (69.1% and 70.0%, respectively), whereas a smaller proportion reported use on ≥20 days (17.8% and 17.6%, respectively). No differences were observed by sex in the pattern of dual use or in the frequency of use. In the past 30 days, the prevalence of dual use was 2.7% (95% CI: 2.4–2.9), with a higher proportion of students reporting nicotine-containing e-cigarette use (61.1% vs 38.9%). Boys had a higher prevalence of this pattern compared with girls (3.0% vs 2.3%, p=0.005), whereas the proportion of nicotine-containing e-cigarette use was similar in both sexes (Table 3).

Sociodemographic characteristics for each outcome are shown in Supplementary file Table S1. The mean age was 14.9 years for ever, 12-month and current e-cigarette use and 15.0 years for dual use patterns. Dual use patterns included a higher proportion of adolescents aged 17–21 years. Across all outcomes, more than 90% of participants were Peruvian. Most adolescents attended public schools, predominantly in the morning shift and 30–40% were located in Metropolitan Lima. The distribution across grades of secondary education was broadly similar, with proportions gradually increasing from the first to the fifth grade across all outcomes. When the prevalence of current e-cigarette use and dual use in the past 30 days was examined by education level, a clear upward pattern was observed among males, whereas no consistent pattern was apparent among females (Figure 1).

Figure 1

Prevalence of current e-cigarette users and dual users in the last 30 days among secondary school students in Peru, 2024: A) Current e-cigarette use among boys; B) Current e-cigarette use among girls; C) Dual use (cigarettes and electronic cigarettes) among boys; D) Dual use among girls. Bars represent

https://www.tobaccoinduceddiseases.org/f/fulltexts/218168/TID-24-80-g001_min.jpg

Regarding access to e-cigarettes, the main sources were convenience stores (29.7%), corner or neighborhood shops (18.1%) and friends’ homes (11.5%). Other sources included liquor stores (9.6%), supermarkets (8.6%) and specialized shops (7.6%). When disaggregated by sex, the pattern of access differed. For both boys and girls, the main sources were convenience stores (28.9% in boys vs 30.5% in girls) and corner or neighborhood shops (18.9% in boys vs 17.4% in girls). However, boys more frequently obtained e-cigarettes from liquor stores (11.0% in boys vs 8.3% in girls), whereas girls more often reported access through friends’ homes (8.4% in boys vs 14.5% in girls). The main reasons for e-cigarette use in the overall sample were the flavor of e-liquids (30.8%), curiosity (20.4%) and managing stress and anxiety (12.9%). Other reasons included that the devices were easy to carry (9.0%), easy to use (8.6%) and perceived as a healthier alternative to conventional cigarettes (7.3%). Among both boys and girls, the main reasons for e-cigarette use were flavor (31.3% in boys vs 30.4% in girls) and curiosity (18.8% in boys vs 22.0% in girls). Boys reported using e-cigarettes because they were easy to carry (12.2% in boys vs 5.9% in girls) and perceived as a healthier alternative to conventional cigarettes (9.1% in boys vs 5.2% in girls), whereas girls more frequently cited stress and anxiety management (8.2% in boys vs 17.5% in girls) (Table 4).

Table 4

Sources of access to e-cigarettes and motivations for their use in the past 30 days among Peruvian secondary school students, 2024

CharacteristicsTotalBoysGirlsp
nWeighted %
(95% CI)
nWeighted %
(95% CI)
nWeighted %
(95 % CI)
Sources of access to e-cigarettes251912781241
Corner stores/neighborhood shops40918.1 (15.9–20.6)21418.9 (15.7–22.6)19517.4 (14.5–20.7)0.005
Convenience stores63029.7 (27.1–32.4)31628.9 (25.4–32.8)31430.5 (26.8–34.5)
Supermarkets2458.6 (7.3–10.2)1419.8 (8.0–12.0)1047.4 (5.6–9.8)
Liquor stores2619.6 (8.0–11.5)15411.0 (8.8–13.7)1078.3 (6.1–11.0)
Gas station shops953.7 (2.8–4.8)594.6 (3.3–6.5)362.7 (1.8–4.2)
Specialized shops2627.6 (6.4–9.0)1478.4 (6.7–10.6)1156.8 (5.3–8.7)
Your own home742.9 (2.0–4.0)322.0 (1.2–3.2)423.7 (2.4–5.8)
Friends’ homes31811.5 (9.4–13.6)1088.4 (6.4–11.0)21014.5 (12.0–17.4)
Relatives’ homes451.8 (1.1–2.7)211.5 (0.7–2.9)242.1 (1.3–3.6)
Home delivery1806.5 (5.3–8.0)866.4 (4.8–8.6)946.6 (5.0–8.7)
Motivations for e-cigarette use254112891252
Easy to carry2429.0 (7.4–10.8)17112.2 (9.6–15.4)715.9 (4.3–7.9)<0.001
Ease of use2148.6 (7.1–10.3)1127.9 (5.9–10.5)1029.2 (7.1–11.9)
Because of the flavor78230.8 (28.3–33.5)40331.3 (27.8–35.0)37930.4 (26.8–34.3)
Healthier alternative to conventional cigarettes1897.3 (5.8–8.7)1119.1 (7.0–11.8)785.2 (3.8–7.0)
Less odor than conventional cigarettes1625.9 (4.8–7.3)976.9 (5.2–9.3)654.9 (3.6–6.7)
Curiosity49820.4 (18.1–22.8)22518.8 (15.8–22.2)27322.0 (18.7–25.6)
Influence of friends or family873.4 (2.6–4.5)373.1 (2.1–4.6)503.7 (2.6–5.4)
To manage stress or anxiety31112.9 (11.0–15.0)968.2 (6.2–10.7)21517.5 (14.5–20.9)
More socially accepted than smoking conventional cigarettes561.9 (1.3–2.7)372.5 (1.6–4.0)191.3 (0.8–2.3)

[i] Percentages and 95% confidence intervals are weighted and account for the complex survey design. Group comparisons by sex were performed Rao–Scott chi-squared test.

Access to, and reasons for, e-cigarette use by type of school (public, private) are presented in Supplementary file Table S2. No differences were found in access to e-cigarettes. In both groups, the main sources were convenience stores, corner or neighborhood shops and friends’ homes. Regarding reasons for e-cigarette use, adolescents from public schools more often reported flavor (33.0% in public vs 26.1% in private) and ease of carrying (10.2% in public vs 6.3% in private) as the main motives, whereas those from private schools more frequently cited curiosity (17.9% in public vs 25.8% in private), managing stress and anxiety (12.1% in public vs 14.6% in private) and the influence of friends and family (2.1% in public vs 6.3% in private).

DISCUSSION

This study examined the prevalence of e-cigarette use patterns among 45089 school-aged adolescents in Peru. Across all outcomes, the proportion of adolescents increased steadily from first to fifth grade. Among outcomes assessed in the past 30 days, most adolescents reported consumption of nicotine-containing e-cigarettes. Sex-disaggregated analyses showed that girls initiated e-cigarette use at an earlier age and had a higher prevalence of ever and 12-month use, whereas boys had a higher prevalence of dual use in the past 30 days. On the other hand, we explored the main sources of access and reasons for e-cigarette use. Convenience stores, corner or neighborhood shops and friends’ homes were the predominant points of access, while the most frequently reported reasons were the flavor of e-liquids, curiosity and managing stress and anxiety. Among boys, easy to carry and the perception of being a healthier alternative to conventional cigarettes were more frequently reported, whereas girls more often cited stress and anxiety management. In addition, students from public schools more often reported flavor and ease of carrying as the main motives, whereas those from private schools more frequently cited curiosity, managing stress and anxiety and the influence of friends and family.

These findings are consistent with the existing literature on e-cigarette use patterns. For example, the prevalence of ever and current e-cigarette use in our study was similar to estimates from analyses of Global Youth Tobacco Survey data, which reported prevalence in Peru of 13.4% and 6.9%, respectively20. Moreover, when comparing our results with data from 13 countries in Latin America and the Caribbean, we found that the prevalence of ever and current e-cigarette use among Peruvian adolescents falls within the regional range for both patterns of use18. Although existing evidence suggests that both patterns are more common in boys than in girls10, our study observed that girls had a higher prevalence of ever and 12-month e-cigarette use. This finding contrasts with previously reported sex differences in cigarette smoking1. However, existing research suggests that flavored e-cigarette marketing may disproportionately attract girls, which could help explain our finding, further supported by their earlier age of initiation compared with boys in our study21. Among adolescents who reported current e-cigarette use, most used devices containing nicotine. Since nicotine is one of the most widely used drugs worldwide, its addictive potential and associated health harms, particularly among adolescents, make e-cigarette use in this age group an emerging public health concern that should be addressed in the development of health policies14,23. In line with this, our study found that the mean age of initiation of e-cigarette use was 14.9 years. Such early initiation increases the likelihood of lifelong nicotine dependence and subsequent cigarette smoking, which remains one of the leading contributors to disability and premature mortality15. An additional key finding was that the proportion of adolescents reporting each outcome, rose progressively from the first to the fifth grade, a trend consistent with results from other settings23,24. As students move to higher grades in secondary school, their growing social interactions with peers, heightened autonomy and reduced perception of risk, may contribute to this upward pattern25.

One of the emerging patterns in this population is the concurrent use of conventional cigarettes and e-cigarettes (i.e. dual use). This pattern is of particular public health importance, as adolescents are simultaneously exposed to the toxic health effects of conventional cigarettes and the harmful effects of e-cigarettes26. The results related to dual use in the past 30 days are comparable with studies using Global Youth Tobacco Survey data, in which the prevalence of this pattern ranges from 0.1% to 13.6%11. At the regional level, our estimates are lower than those reported in European countries and South Africa27,28, underscoring that the prevalence of dual use varies by region. Moreover, our results show that most adolescents who reported dual use in the past 30 days used nicotine-containing e-cigarettes. Considering this finding, dual use is likely to be associated not only with greater nicotine dependence but also with additional health risks arising from the concurrent use of both products. Existing research reports that dual use is associated with increased odds of cardiovascular disease, metabolic dysfunction, asthma, chronic obstructive pulmonary disease and oral disease compared with individuals who smoke cigarettes only or do not use either product29. Therefore, understanding the prevalence of this pattern and the fact that boys show a higher prevalence may help inform targeted public health strategies for controlling tobacco and e-cigarette use.

The main sources of access to e-cigarettes were convenience stores, corner or neighborhood shops and friends’ homes. Other sources identified in our study included liquor stores, supermarkets and specialized shops. These findings are consistent with existing evidence. A study conducted in the United States reported that the main sources of access to e-cigarettes among adolescents aged 13–17 years were retail stores, vape shops, gas stations and convenience stores30. Moreover, this age group often obtained e-cigarettes from people they knew30. Although the sale of these devices is legally restricted to adults in Peru, the main sources of access were convenience and neighborhood stores, which might reflect a lack of age verification in these establishments31. In addition, our study highlights sex differences. Boys were more likely to access these devices independently, whereas girls more often obtained them through people they knew32. On the other hand, the main reasons for using e-cigarettes were the flavor of e-liquids, curiosity and managing stress and anxiety. Similar results have been reported among US adolescents, who use e-cigarettes for various reasons such as curiosity, product characteristics and the influence of friends or family33. In a recent systematic review, similar motives were reported, including low perceived risk and appealing flavors17. These motives differed by sex and by type of school (public vs private) in our study. With regard to sex, previous research shows that boys are more likely to perceive e-cigarettes as less harmful than conventional cigarettes, which may partly explain their greater susceptibility to use34. In addition, the differences observed by school type suggest that contextual and social environments shape adolescents’ motives. Students in public schools more often emphasized product characteristics, whereas those in private schools highlighted social and emotional drivers. These reasons appear consistent across contexts, underscoring the need for targeted public health interventions and regulatory measures to reduce the appeal of e-cigarettes among adolescents. School-based control policies, irrespective of school type, have also demonstrated benefits in lowering e-cigarette use, reinforcing the value of multi-level strategies35.

From a health policy perspective, our findings provide an evidence base to adapt and strengthen existing strategies, although longitudinal studies are still needed to better understand use trajectories and long-term outcomes. In Peru, governmental institutions have introduced control measures for e-cigarettes, including bans on sales to minors, restrictions on use in enclosed public spaces and public transport, and prohibitions on advertising36. However, these measures were implemented without context-specific data and their effectiveness may therefore be limited. Based on our findings, these strategies should be reinforced. Preventive mechanisms are needed to control the prevalence of e-cigarette and dual use. Strategies to be considered include stricter enforcement at key points of access, such as convenience stores and neighborhood shops, to ensure compliance with age-of-sale restrictions. In addition, school- and community-based campaigns should deliver tailored educational programs on the risks of nicotine and e-cigarettes, using age-appropriate and engaging strategies. These programs could be integrated into school curricula, reinforced through extracurricular activities and complemented by parental involvement at home. Moreover, a crucial aspect of access to and use of e-cigarettes in Peru could be addressed through the implementation of specific taxes on e-cigarettes, similar to those applied to conventional cigarettes. This measure has proven to be an important component of MPOWER strategies to reduce tobacco consumption3. Therefore, strengthening fiscal and educational policies could play a key role in curbing e-cigarette use among adolescents.

Limitations

The results of our study are not without limitations. First, the descriptive design does not allow for the establishment of associations between study variables and instead aims to describe patterns of e-cigarette use among Peruvian adolescents using a population-based survey. Second, device-related characteristics such as generation, nicotine concentration, flavor of e-liquids, number of vaping episodes per day and weekly frequency of use were not available, limiting further characterization of use patterns in the study population. Third, patterns of e-cigarette use are subject to misclassification bias, as all data were self-reported. Nevertheless, reliance on past 30-day outcomes reduces bias and increases the reliability of these measures. Fourth, the use of self-reported behaviors might also be subject to social desirability bias. Fifth, we did not estimate age-adjusted prevalence because most participants were aged 12–17 years and only a small proportion were aged 11 years or 18–21 years. As data were collected exclusively from schools in urban areas, the representativeness of populations in towns with fewer than 30000 inhabitants and in rural settings may be limited. However, little is known about the prevalence of e-cigarette use in rural or remote areas, particularly given the challenges these settings face in terms of availability and access to e-cigarettes37. Furthermore, our findings are derived from a single country with distinct cultural and behavioral characteristics, which restricts the generalizability of the results to other contexts. An additional outcome evaluated in our study was dual use in the past 12 months. Although this outcome showed a higher prevalence than dual use in the past 30 days, it has some limitations. Because of the longer timeframe, the cross-sectional design makes it difficult to determine whether adolescents used both products concurrently and the measure might be subject to misclassification bias. Nevertheless, this outcome could be further explored in longitudinal studies to assess a potential dose-response relationship between the duration of dual use and the development of several diseases.

CONCLUSIONS

This population-based study of Peruvian adolescents found that e-cigarette use begins at an early age. Sex differences were evident, with ever and 12-month use more frequent among girls, whereas dual use in the past 30 days was more common among boys. Across all outcomes, the proportion of adolescents reporting e-cigarette use increased progressively with advancing secondary school grades. The main sources of access were convenience stores, neighborhood shops and friends’ homes, while the most frequently reported reasons were the flavor of e-liquids, curiosity and managing stress and anxiety. Differences in reasons for use by sex and type of school underscore the need for tailored prevention strategies. Existing measures should be reinforced through stricter enforcement at points of sale, school- and community-based educational campaigns and the introduction of specific taxes on e-cigarettes. In parallel, longitudinal studies are needed to assess use trajectories and long-term health outcomes.