| Literature DB >> 34694383 |
Yelena Tarasenko1,2, Angela Ciobanu2, Ranti Fayokun3, Elizaveta Lebedeva2, Alison Commar3, Kristina Mauer-Stender4.
Abstract
BACKGROUND: As new findings on public health implications of electronic cigarette (e-cigarette) use emerge, its surveillance remains of utmost importance. This study examined the latest state of e-cigarette use in youth in 17 European study sites (i.e. 16 countries and the Federation of Bosnia and Herzegovina) using the Global Youth Tobacco Survey (GYTS).Entities:
Mesh:
Year: 2022 PMID: 34694383 PMCID: PMC8807119 DOI: 10.1093/eurpub/ckab180
Source DB: PubMed Journal: Eur J Public Health ISSN: 1101-1262 Impact factor: 3.367
Countries or study sites from the WHO European Region with the latest available data on current use of e-cigarettes from the GYTS and the overall response rates
| Countries or study sites, arranged alphabetically | Latest round of GYTS | Previous round of GYTS | ||||
|---|---|---|---|---|---|---|
| Year | Number of students-survey participants aged 11–17 years | Overall response rate, % | Year | Number of students-survey participants aged 11–17 years | Overall response rate, % | |
| Albania | 2015 | 4672 | 89.3 | – | ||
| Bulgaria | 2015 | 4042 | 86.0 | – | ||
| Croatia | 2016 | 3250 | 95.8 | – | ||
| Georgia | 2017 | 1345 | 78.7 | 2014 | 1379 | 75.4 |
| Italy | 2018 | 1680 | 77.4 | 2014 | 1822 | 77.0 |
| Kyrgyzstan | 2019 | 6145 | 88.8 | – | ||
| Latvia | 2019 | 4226 | 70.7 | 2014 | 4320 | 79.5 |
| Poland | 2016 | 5154 | 81.7 | –a | ||
| Romania | 2017 | 5409 | 88.6 | 2013 | 4801 | 84.6 |
| San Marino | 2018 | 624 | 92.0 | 2014 | 638 | 95.7 |
| Serbia | 2017 | 3861 | 52.2 | – | ||
| Slovakia | 2016 | 3997 | 81.7 | – | ||
| The Czech Republic | 2016 | 3926 | 78.3 | – | ||
| The Federation of Bosnia and Herzegovina | 2019 | 5483 | 83.3 | – | ||
| The Republic of Moldova | 2019 | 4717 | 93.3 | – | ||
| The Republic of North Macedonia | 2016 | 5141 | 86.2 | – | ||
| Ukraine | 2017 | 4065 | 81.6 | – | ||
Questions on current e-cigarette use were not asked in the previous rounds. Hence, these study sites were not included in trend analysis.
Age-adjusted prevalence of e-cigarette use among students aged 11–17 years in the WHO European Region countries selected based on availability of the two latest rounds of GYTS data: comparison overtime
| Countries or study sites | Previous round of GYTS | Latest round of GYTS |
| ||
|---|---|---|---|---|---|
| Unweighted | Weighted % (95% CI) | Unweighted | Weighted % | ||
| current use/total responses | current use/total responses | (95% CI) | |||
| Georgia | 82/1301 | 6.1 | 162/1305 | 12.4 |
|
| 2017 vs. 2014 | (3.7–8.6) | (9.0–16.9) | |||
| Latvia | 461/4306 | 10.3 | 739/4221 | 18.5 |
|
| 2019 vs. 2014 | (8.4–12.2) | (17.0–20.0) | |||
| Italy | 162/1656 | 9.1 | 309/1671 | 18.3 |
|
| 2018 vs. 2014 | (6.9–11.3) | (14.8–21.7) | |||
| Romania | 267/4756 | 5.7 | 409/5359 | 7.6 | 0.113 |
| 2017 vs. 2013 | (4.5–6.8) | (6.5–8.8) | |||
| San Marino | 36/637 | 5.7 | 66/611 | 10.7 | 0.064 |
| 2018 vs. 2014 | (3.6–7.8) | (7.2–14.1) | |||
Note: P-values indicative of statistically significant differences are in bold.
Prevalence of e-cigarette use in male and female students aged 11–17 years in the WHO European Region study sites with the latest available data from GYTS
| Countries | Boys | Girls | ||||
|---|---|---|---|---|---|---|
| or study sites, arranged alphabetically | Unweighted | Crude | Adjusted | Unweighted | Crude | Adjusted |
|
| weighted % | weighted % |
| weighted % | weighted % (95% CI) | |
| (95% CI) | (95% CI) | (95% CI) | ||||
| Albania | 230 | 9.9 | 9.3 | 84 | 3.2 | 3.4 |
| (7.9–12.0) | (7.5–11.2) | (2.1–4.3) | (2.3–4.5) | |||
| Bulgaria | 236 | 12.6 | 12.0 | 190 | 8.9 | 9.3 |
| (9.1–16.0) | (8.8–15.3) | (6.3–11.6) | (6.8–11.8) | |||
| Croatia | 282 | 14.7 | 14.2 | 144 | 6.8 | 6.9 |
| (10.3–19.1) | (10.8–17.6) | (4.6–9.1) | (5.0–8.8) | |||
| Georgia | 114 | 17.5 | 17.1 | 43 | 6.4 | 6.4 |
| (12.5–24.0) | (11.6–22.7) | (4.4–9.2) | (4.1–8.7) | |||
| Italy | 187 | 22.5 | 22.6 | 122 | 13.6 | 13.3 |
| (17.5–27.5) | (17.4–27.8) | (11.4–15.8) | (11.1–15.6) | |||
| Kyrgyzstan | 141 | 4.1 | 4.0 | 59 | 1.6 | 1.5 |
| (2.8–5.4 | (2.8–5.2) | (1.0–2.3) | (0.9–2.2) | |||
| Latvia | 468 | 23.0 | 22.8 | 269 | 13.9 | 14.0 |
| (20.7–25.2) | (21.0–24.6) | (11.5–16.3) | (11.6–16.4) | |||
| Poland | 736 | 31.5 | 30.9 | 560 | 21.8 | 22.2 |
| (28.2–34.9) | (27.6–34.1) | (19.0–24.7) | (19.3–25.1) | |||
| Romania | 252 | 9.6 | 9.4 | 154 | 5.5 | 5.5 |
| (7.8–11.5) | (7.6–11.2) | (4.4–6.5) | (4.4–6.5) | |||
| San Marino | 42 | 12.2 | 11.7 | –b | –b | –b |
| (8.1–16.3) | (7.6–15.8) | |||||
| Serbia | 159 | 8.4 | 8.2 | 103 | 5.6 | 5.8 |
| (6.2–10.6) | (6.5–10.0) | (4.2–7.1) | (4.3–7.3) | |||
| Slovakia | 189 | 9.7 | 9.3 | 121 | 6.2 | 6.4 |
| (7.2–12.3) | (6.9–11.8) | (4.3–8.0) | (4.6–8.3) | |||
| The Czech Republic | 230 | 12.4 | 11.8 | 181 | 9.7 | 10.3 |
| (9.3–15.6) | (9.1–14.5) | (7.7–11.7) | (8.6–12.0) | |||
| The Federation of Bosnia and Herzegovina | 488 | 16.9 | 16.5 | 172 | 6.5 | 6.7 |
| (14.8–19.1) | (14.6–18.4) | (5.1–7.9 | (5.3–8.2) | |||
| The Republic of Moldova | 397 | 17.1 | 16.8 | 209 | 8.4 | 8.5 |
| (14.7–19.5) | (14.8–18.8) | (6.0–10.8) | (6.2–10.7) | |||
| The Republic of North Macedonia | 158 | 6.0 | 5.8 | 50 | 2.1 | 2.1 |
| (4.0–7.9) | (4.1–7.4) | (1.4–2.8) | (1.5–2.8) | |||
| Ukraine | 396 | 21.7 | 21.1 | 221 | 12.8 | 13.3 |
| (17.4–26.1) | (17.0–25.2) | (9.7–15.9) | (10.3–16.3) | |||
The prevalence estimates are adjusted by age, grade and pocket money.
Statistically significant difference between the estimates, P < 0.005.
The unweighted sample size was < 35, resulting in unstable estimates.
Association between pocket money and current e-cigarette use among students aged 11–17 years in the WHO European Region study sites with the latest available GYTS data
| Countries or sites | Less than medium amount | At least medium amount | Adj. PR |
| ||
|---|---|---|---|---|---|---|
| Unweighted | Weighted % (95% CI) | Unweighted | Weighted % (95% CI) | (95% CI) | ||
| Albania | 102 | 4.8 | 212 | 8.5 | 1.4 |
|
| (3.4–6.1) | (6.9–10.0) | (1.0–2.0) | ||||
| Bulgaria | 250 | 9.3 | 178 | 14.4 | 1.5 |
|
| (6.9–11.7) | (9.0–19.8) | (1.1–2.0) | ||||
| Croatia | 60 | 5.7 | 362 | 12.3 | 1.8 |
|
| (3.5–7.9) | (9.0–15.5) | (1.4–2.4) | ||||
| Georgia | 77 | 9.4 | 82 | 17.7 | 1.8 |
|
| (6.7–12.2) | (12.2–23.1) | (1.4–2.5) | ||||
| Italy | 102 | 12.8 | 207 | 23.1 | 1.7 |
|
| (9.5–16.1) | (18.4–27.9) | (1.3–2.3) | ||||
| Latvia | 323 | 15.7 | 414 | 21.6 | 1.3 |
|
| (13.5–18.0) | (19.6–23.5) | (1.1–1.6) | ||||
| Poland | 606 | 22.5 | 692 | 32.3 | 1.3 |
|
| (19.9–25.2) | (29.7–35.0) | (1.2–1.5) | ||||
| Romania | 259 | 6.7 | 147 | 10.1 | 1.4 |
|
| (5.4–8.0) | (8.1–12.1) | (1.1–1.7) | ||||
| Serbia | 149 | 5.5 | 116 | 11.6 | 1.9 |
|
| (4.2–6.7) | (9.1–14.1) | (1.5–2.5) | ||||
| Slovakia | 161 | 6.2 | 150 | 11.7 | 1.6 |
|
| (4.6–7.9) | (8.4–15.0) | (1.3–2.0) | ||||
| The Czech Republic | 321 | 9.7 | 88 | 22.5 | 2.1 |
|
| (7.6–11.7) | (18.5–26.5) | (1.7–2.6) | ||||
| The Federation of Bosnia and Herzegovina | 270 | 9.4 | 402 | 15.7 | 1.6 |
|
| (7.8–11.0) | (13.6–17.8) | (1.3–1.9) | ||||
| The Republic of Moldova | 165 | 8.3 | 434 | 17.7 | 2.0 |
|
| (7.0–9.5) | (15.0–20.3) | (1.7–2.2) | ||||
| The Republic of North Macedonia | 53 | 3.5 | 152 | 4.4 | 1.2 | 0.263 |
| (2.4–4.6) | (2.8–5.9) | (0.9–1.7) | ||||
| Ukraine | 322 | 13.5 | 293 | 25.7 | 1.8 |
|
| (10.0–16.9) | (21.1–30.4) | (1.4–2.3) | ||||
| San Marino | 16 | — | 50 | 16.8 | 2.9 | – |
| (12.9–20.7) | (1.8–4.8) | |||||
| Kyrgyzstan | 82 | 1.9 | 116 | 5.1 | – | – |
| (1.2–2.6) | (3.4–6.7) | |||||
Notes: P-values in bold represent statistically significant differences between prevalence of e-cigarette use among students, aged 11–17 years, who reported having at least medium amount of pocket money vs. no to less than medium amounts.
Adjusted by student’s age, sex and grade.
The insufficient sample size; hence, the resulting estimates may be unstable and are therefore, not reported. The regression coefficients for sex, pocket money and the interaction term between sex and pocket money were statistically significant suggesting differences in statistical effects of having at least medium amount of pocket money on prevalence of e-cigarette use between male and female students compared with having less than medium amount of pocket money.