INTRODUCTION
Tobacco use contributes to 6.4 million deaths globally each year1 and most tobacco smokers begin smoking during adolescence2. Smoking during adolescence causes health problems, such as increased number and severity of respiratory illness, and lifelong smoking also causes cancer and cardiovascular disease3. Therefore, preventing tobacco use among youth is a critical strategy to reduce overall tobacco use2,4. Adolescence may represent an opportune time for tobacco cessation with the goal of preventing more established or long-term tobacco use3. A recent report found that, in 40 of 51 countries, >50% of current tobacco smoking students aged 13–15 years want to quit5. Helping or advising youth tobacco smokers to quit smoking may lead to increased quit attempts, reduced likelihood of lifelong tobacco use, and reductions in morbidity and mortality.
This brief report describes self-reported receipt of help or advice to stop smoking among current tobacco smoking youth aged 13–15 years enrolled in school from 56 countries, chosen by criteria specified below.
METHODS
Data
Data came from the Global Youth Tobacco Survey (GYTS), a nationally representative school-based, paper and pencil, cross-sectional survey of students in school grades associated with ages 13–15 years. Classes within selected schools are randomly selected and all students in selected classes are eligible to participate in the survey. The GYTS uses a two-stage cluster sample design with schools selected at the first stage with probability proportional to the enrollment size followed by classes chosen randomly within selected schools. The data were weighted to reflect country specific prevalence estimates and were adjusted for school and class clustering as well as for non-response and post-stratification relative to grade and sex6. For this report, countries were included if they met the following criteria: 1) nationally representative data were available for students aged 13–15 years; 2) latest year for which data were collected and available was within the period 2012–2015, to allow calculation of recent prevalence estimates; and 3) unweighted sample size, for number of current tobacco smokers with non-missing responses to the item asking about ever receiving help or advice to stop smoking, was ≥35. Based on these criteria, 56 countries were selected for analyses. Overall response rates ranged from 60.3% in Nicaragua to 99.2% in Sudan. The analytic sample size ranged from 55 in Gabon to 950 in Bulgaria.
Measures
Consistent with the existing literature, current tobacco smoking among students aged 13–15 years, was defined as having smoked a cigarette or other smoked tobacco product in the past 30 days2. Current tobacco smoking students responded to an item asking: ‘Have you ever received help or advice to help you stop smoking?’. Respondents could only choose from the following sources of support: 1) from a program or professional, 2) from a friend, 3) from a family member, or 4) from both programs or professionals and friend or family member. A response option of ‘No’, indicating that the student had not received advice to quit smoking, was also included. All responses are mutually exclusive. Responses for friend and family members were combined into a single answer choice. In addition, we created a composite variable for receiving any advice or help that combined professional/program and friend/family member. Students who reported no current tobacco smoking were excluded.
Analysis
To account for the complex sampling procedures of GYTS, STATA © 14.2 software was used to generate country-specific weighted prevalence estimates and 95% confidence intervals for receiving help or advice to stop smoking among student tobacco smokers. Estimates with a relative standard error >0.3 are not reported.
RESULTS
In 53 of 56 countries, the estimated point prevalence of reporting receiving any help or advice to quit smoking was >50%. Across all countries, the median estimated prevalence of receiving any help or advice to quit smoking among students aged 13–15 years was 72.7% (range=39.9% San Marino to 96.9% Timor-Leste). The median estimated prevalences of help or advice to quit smoking were: 1) 52.5% (range=37.2% Bahamas to 69.9% Montenegro) from a friend or family member only, 2) 8.8% (range=3.7% Latvia to 34.2% Togo) from a professional or program only, and 3) 9.9% (range=2.9% Romania to 31.4% Kenya) from both (Table 1).
Table 1
WHO Region/Country | Overall sample size (unweighted) | Number of current tobacco smokers (unweighted) | Any advice (weighted) | Advice from friend/family only (weighted) | Advice from program/professional only (weighted) | Advice from both friend/family and program/professional (weighted) |
---|---|---|---|---|---|---|
% (95% CIa) | % (95% CI) | % (95% CI) | % (95% CI) | |||
African Region | ||||||
Algeria (2013) | 4023 | 289 | 80.2 (74.8, 84.7) | 58.1 (51.1, 64.9) | 7.0 (3.8, 12.6) | 15.0 (10.4, 21.3) |
Cameroon (2014) | 1873 | 136 | 71.5 (56.4, 83.0) | 56.0 (43.0, 68.2) | 8.3 (4.4, 15.1) | -b |
Comoros (2015) | 1551 | 127 | 81.8 (61.1, 92.8) | 44.6 (30.7, 59.5) | 29.5 (20.7, 40.1) | - |
Gabon (2014) | 788 | 55 | 72.7 (61.2, 81.8) | 47.5 (27.1, 68.8) | 19.7 (11.8, 31.1) | - |
Kenya (2013) | 1326 | 84 | 83.4 (69.8, 91.6) | 45.6 (35.0, 56.7) | - | 31.4 (21.0, 44.0) |
Mozambique (2013) | 3062 | 158 | 82.8 (67.6, 91.7) | 61.0 (46.4, 73.9) | - | - |
Seychelles (2015) | 1525 | 278 | 71.4 (65.0, 77.1) | 54.2 (48.3, 59.9) | 8.2 (5.3, 12.5) | 9.0 (5.3, 14.8) |
Togo (2013) | 2801 | 182 | 90.4 (83.5, 94.5) | 52.2 (43.1, 61.2) | 34.2 (25.8, 43.8) | - |
Zimbabwe (2014) | 5114 | 530 | 81.7 (65.3, 91.4) | 59.5 (40.8, 75.7) | 14.5 (7.9, 25.1) | 7.7 (4.5, 12.9) |
Eastern Mediterranean Region | ||||||
Bahrain (2015) | 2465 | 305 | 86.1 (78.0, 91.5) | 59.6 (51.6, 67.2) | 11.2 (6.4, 18.8) | 15.2 (10.8, 21.0) |
Djibouti (2013) | 1361 | 130 | 64.4 (47.4, 78.4) | 43.3 (30.3, 57.3) | 16.4 (9.5, 26.9) | - |
Egypt (2014) | 2141 | 202 | 88.1 (78.2, 93.9) | 62.3 (40.5, 80.1) | - | - |
Iraq (2014) | 1266 | 139 | 87.5 (79.0, 92.8) | 64.4 (56.7, 71.4) | 18.9 (12.0, 28.6) | - |
Jordan (2014) | 1889 | 416 | 73.8 (66.6, 79.9) | 55.3 (48.0, 62.3) | 8.9 (5.5, 14.1) | 9.5 (6.2, 14.3) |
Pakistan (2013) | 5832 | 334 | 77.4 (65.1, 86.3) | 54.7 (44.2, 64.8) | - | 7.0 (4.3, 11.2) |
Qatar (2013) | 1716 | 202 | 75.8 (69.3, 81.4) | 50.1 (39.9, 60.2) | 11.4 (7.3, 17.5) | 14.3 (10.4, 19.5) |
Sudan (2014) | 1450 | 105 | 86.8 (72.7, 94.2) | 48.5 (36.3, 60.9) | 31.7 (21.8, 43.7) | - |
United Arab Emirates (2013) | 3376 | 320 | 71.2 (64.2, 77.4) | 50.5 (43.5, 57.4) | 7.4 (4.2, 12.5) | 13.3 (9.1, 19.2) |
Yemen (2014) | 1634 | 212 | 82.1 (72.5, 88.8) | 60.0 (50.0, 69.2) | 14.1 (7.6, 24.7) | - |
European Region | ||||||
Albania (2015) | 3482 | 319 | 65.4 (57.5, 72.5) | 47.4 (38.6, 56.4) | 8.3 (5.0, 13.4) | 9.7 (6.3, 14.5) |
Belarus (2015) | 2428 | 213 | 67.6 (58.2, 75.8) | 47.4 (39.0, 56.0) | 10.0 (5.7, 17.0) | - |
Bulgaria (2015) | 3532 | 950 | 65.1 (59.2, 70.5) | 53.1 (47.8, 58.2) | 5.1 (3.0, 8.4) | 7.0 (5.0, 9.5) |
Georgia (2014) | 962 | 86 | 72.9 (61.8, 81.7) | 58.8 (47.9, 68.9) | - | - |
Greece (2013) | 4096 | 535 | 58.8 (53.8, 63.6) | 46.0 (40.6, 51.6) | - | 9.9 (6.6, 14.5) |
Italy (2014) | 1428 | 313 | 47.6 (41.2, 54.0) | 40.1 (34.3, 46.2) | - | 6.5 (4.3, 9.8) |
Kyrgyzstan (2014) | 3468 | 170 | 70.3 (57.9, 80.4) | 46.2 (35.6, 57.3) | - | - |
Latvia (2014) | 4025 | 861 | 50.9 (44.0, 57.9) | 41.7 (35.8, 48.0) | 3.7 (2.1, 6.5) | 5.5 (3.7, 8.0) |
Lithuania (2014) | 3113 | 736 | 57.7 (52.0, 63.2) | 39.5 (35.3, 43.8) | 8.4 (6.1, 11.4) | 9.8 (7.3, 13.1) |
Moldova (2013) | 3548 | 285 | 77.6 (71.0, 83.1) | 60.7 (53.4, 67.6) | - | 11.4 (7.6, 16.8) |
Montenegro (2014) | 3692 | 342 | 75.9 (52.2, 90.1) | 69.9 (43.6, 87.5) | - | - |
Portugal (2013) | 7600 | 902 | 59.9 (55.0, 64.5) | 44.7 (40.1, 49.3) | 4.9 (2.8, 8.7) | 10.3 (7.0, 14.7) |
Romania (2013) | 3328 | 348 | 59.1 (52.1, 65.7) | 47.6 (40.5, 54.8) | 8.5 (5.0, 14.3) | 2.9 (1.7, 5.0) |
San Marino (2014) | 534 | 77 | 39.9 (28.0, 53.1) | 38.1 (26.4, 51.3) | - | - |
Serbia (2013) | 3076 | 460 | 63.3 (57.7, 68.7) | 55.7 (50.1, 61.2) | 4.1 (2.2, 7.3) | - |
Region of the Americas | ||||||
Argentina (2012) | 2069 | 355 | 65.5 (58.1, 72.2) | 57.6 (5.0, 64.9) | 4.6 (2.8, 7.6) | - |
Bahamas (2013) | 1033 | 108 | 54.0 (39.3, 68.1) | 37.2 (26.7, 49.1) | 7.1 (2.7, 17.2) | 9.7 (3.8, 22.8) |
Barbados (2013) | 1306 | 155 | 50.1 (41.6, 58.6) | 37.7 (28.8, 47.6) | - | - |
Belize (2014) | 1273 | 131 | 70.9 (58.4, 80.9) | 52.1 (42.8, 61.4) | - | 9.8 (5.9, 15.8) |
Costa Rica (2013) | 2158 | 171 | 46.0 (38.8, 53.4) | 37.9 (30.2, 46.3) | - | - |
El Salvador (2015) | 2567 | 302 | 78.9 (72.9, 83.8) | 59.0 (53.0, 64.8) | 8.8 (5.4, 14.2) | 11.0 (8.1, 14.8) |
Guatemala (2015) | 3351 | 479 | 59.7 (53.2, 65.8) | 48.0 (41.5, 54.6) | 7.7 (4.4, 13.1) | 4.0 (2.6, 6.1) |
Guyana (2015) | 1000 | 105 | 83.2 (74.8, 89.2) | 52.8 (40.6, 64.7) | - | 11.8 (6.8, 19.7) |
Nicaragua (2014) | 3006 | 394 | 78.7 (71.7, 84.4) | 61.5 (54.0, 68.5) | 9.9 (6.1, 15.5) | 7.4 (5.1, 10.4) |
Panama (2012) | 4077 | 316 | 72.2 (64.7, 78.6) | 52.7 (43.9, 61.3) | 9.2 (4.5, 17.8) | 10.4 (6.4, 16.3) |
Paraguay (2014) | 5153 | 331 | 57.2 (44.1, 69.4) | 44.9 (32.2, 58.3) | - | - |
Peru (2014) | 2299 | 229 | 68.7 (46.1, 84.9) | 46.4 (31.8, 61.6) | - | 13.9 (7.6, 23.9) |
Uruguay (2014) | 3256 | 312 | 72.6 (65.4, 78.8) | 54.8 (47.9, 61.5) | 8.1 (5.1, 12.6) | 9.7 (6.5, 14.3) |
South-East Asian Region | ||||||
Bhutan (2013) | 1378 | 206 | 89.1 (82.5, 93.3) | 63.7 (57.6, 69.5) | - | 19.1 (13.8, 25.9) |
Indonesia (2014) | 4317 | 691 | 90.7 (88.0, 92.7) | 67.3 (61.8, 72.4) | 5.6 (4.2, 7.5) | 17.7 (13.5, 23.0) |
Thailand (2015) | 1721 | 218 | 83.3 (76.0, 88.7) | 54.0 (47.0, 60.7) | 15.7 (10.2, 23.3) | 13.6 (8.7, 20.8) |
Timor-Leste (2013) | 1908 | 529 | 96.9 (94.7, 98.2) | 65.4 (54.3, 75.0) | 14.0 (8.9, 21.3) | 17.5 (9.9, 29.0) |
Western Pacific Region | ||||||
Brunei Darussalam (2013) | 917 | 80 | 81.9 (67.7, 90.8) | 49.0 (35.2, 63.0) | - | - |
Mongolia (2014) | 6178 | 399 | 58.5 (51.8, 65.0) | 46.0 (39.1, 53.1) | - | 7.3 (4.7, 11.3) |
Philippines (2015) | 5885 | 711 | 86.6 (81.8, 90.3) | 52.9 (45.8, 59.9) | 21.1 (11.9, 34.6) | 12.6 (9.4, 16.8) |
South Korea (2013) | 3437 | 186 | 63.0 (55.6, 69.8) | 45.1 (39.5, 50.8) | 8.8 (5.1, 14.6) | 9.1 (5.1, 15.8) |
Vietnam (2014) | 3430 | 110 | 88.1 (79.0, 93.6) | 61.0 (47.5, 73.0) | - | - |
MEDIAN | 2516 | 281.5 | 72.7 (69.2, 76.1) | 52.5 (50.3, 54.6) | 8.8 (6.3, 11.3) | 9.9 (8.1, 11.6) |
DISCUSSION
Our research shows that in 53 out of 56 countries surveyed, more than half of current tobacco smoking students reported receiving some help or advice to quit. Tobacco smoking students’ family and friends were the most common sources of help or advice to quit. In contrast, public health programs and health professionals were the least common sources. These data show that more than five out of ten current tobacco smoking students seek help or advice from only non-evidence based sources in 32 countries. These students may be receiving incorrect information about how to quit smoking tobacco, which may result in poorer cessation outcomes and longer-term tobacco smoking. These findings indicate that opportunities exist to enhance promotion of evidence-based tobacco prevention and control strategies, such as advice from health professionals, in addition to populationlevel education on the dangers of tobacco smoking among youth. While our study was unable to assess whether current tobacco smoking students received advice or help from other sources, such as social media and internet-based intervention, some of these interventions are discussed in the literature as potential ways to provide important services to students7,8. Important considerations are that any smoking cessation program/intervention needs to be age-appropriate and meet the needs of youth as well as being culturally appropriate. New technologies, such as mobile phones and social media platforms, could offer new opportunities to expand cessation services to youth, but these may not be feasible in low resource settings, which would include 40 low and middle income countries in this study at time of survey administration. Future research is needed at individual country levels to inform evidence-based leveraging of health communication related to tobacco prevention and cessation.
The World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) treaty, which, as of December 2017, 55 of 56 countries in this analysis have ratified, focuses on evidence-based measures that help keep people safe from tobacco9. Specific Articles outlined in FCTC include warning on the dangers of tobacco use (Article 12) and highlighting the benefits of tobacco cessation (Article 14)9. To help countries implement FCTC, WHO developed the MPOWER demand reduction strategies10; when these strategies are implemented as part of a comprehensive tobacco control approach, they can help prevent and reduce youth tobacco use2,11,12. Additional components of a comprehensive approach can also include sub-national efforts by health professionals and tobacco control programs. For example, health professionals could use the ‘5As’ method as a practical framework to identify and assist youth who smoke tobacco8. Trainings and tools for health professional, such as Treatment and Beyond13, are available in the Internet that may help increase their capacity to provide tobacco cessation advice and counseling, and enhance their knowledge and understanding of tobacco prevention and control strategies. Additionally, tobacco control programs could implement youth-oriented campaigns that warn about the dangers of tobacco smoking to help reduce youth smoking2,11.
Limitations
This report has some limitations. First, data were self-reported by students, which might result in misreporting of smoking behavior and/or receipt of help or advice to quit. Second, the data are from those who were enrolled in school, which limits generalizability to all youths. Third, low response rates in some countries, and the use of complete case analysis, might have resulted in non-response bias. Finally, GYTS only assesses receipt of help or advice to quit smoking from programs or professionals, from friends, and from family members, and does not assess use of social networks, social media, or internet access and use. These could potentially be important considerations for developing school-based cessation or other types of advice and cessation services for youth.
CONCLUSIONS
To our knowledge, this is the first study using GYTS data to assess current tobacco smoking students who reported receiving help or advice to stop smoking; previous findings revealed that many current tobacco smoking students report a desire to quit5. The desire to quit smoking among students presents potential opportunities to develop programs and cessation strategies that could assist students in stopping a behavior that has lifelong consequences to wellbeing and health. Implementing evidence-based strategies outlined in WHO MPOWER, as part of a comprehensive tobacco control approach, can help prevent and reduce tobacco use among youth10, and may help countries to move towards a tobacco-free generation.