Abstract

Introduction

Smoking is the biggest preventable cause of death and kills about seven million people annually. As smoking prevalence is falling in developed countries, tobacco businesses are turning to low- and middle-income countries (LMICs) to generate new tobacco markets. To prevent young people from initiating smoking and becoming regular smokers, it is important to understand the causes of susceptibility to smoking. In this study, we report a nationwide survey of the prevalence and risk factors of smoking susceptibility among students aged 12–20 years in The Gambia.

Methods

We used two-stage cluster random sampling to select students in secondary schools throughout The Gambia and questionnaire to collect data on demographic characteristics and indicators on susceptibility to initiating smoking.

Results

Among the total sample of 10289 students, 9831 (96%; 55.6% girls and 44.4% boys, aged 12–20 years) nonsmokers were included in the analysis. Of these, 3333 (33.9%) were found to be susceptible to smoking. Smoking susceptibility was more common among students attending grant-aided schools, non-Muslims, who had smoking allowed at home, had family members or friends who smoke, were sent to purchase cigarettes, had poor knowledge of the harmful effects of smoking, noticed point-of-sale tobacco advertisements, and who had positive attitudes towards smoking.

Conclusions

This study shows that susceptibility to smoking is common among students and associated with preventable exposures. Although based on cross-sectional data, these findings suggest that raising students’ awareness of the harmful effects of smoking and reducing the prevalence of adult smoking, extending tobacco advertising restrictions to include point-of-sale, are all important to preventing the uptake of smoking among students.

Implications

This is the first study to provide detailed data on smoking susceptibility and risk factors in a nationally representative sample of young people in The Gambia. Our findings show that susceptibility to smoking is relatively high and associated with preventable measures. Our results also identify an urgent need to broaden the ban on tobacco advertising to explicitly include point-of-sale advertisements. These findings provide valuable information for tobacco control policies and evidence to enable targeted intervention for young people most at risk of initiating smoking.

Introduction

Smoking kills about seven million people annually and is therefore one of the biggest avoidable causes of ill health in the world.1 As smoking prevalence is falling in developed countries, tobacco companies are turning to low- and middle-income countries (LMICs) to generate new growth in tobacco sales.2,3 Such countries represent an attractive market as young people represent the majority of the population.4 Smoking susceptibility has been found to be a strong predictor of smoking experimentation and young people who are susceptible to smoking have been identified to have double the risk of taking up smoking compared with those who are not susceptible.5–7 A number of factors that influence susceptibility to smoking initiation among young people have been identified in the literature. These include sociodemographic, environmental, socioeconomic, and behavioral characteristics.6,8–10 Understanding the factors that influence never smokers to initiate smoking is critical to shaping future smoking prevention program.6,11 However, data on risk factors for and their effects on susceptibility to smoking among young people in the world’s poorest nations, particularly in Sub-Saharan Africa, remain sparse.

In The Gambia, data on tobacco use among young people are limited. In a recent study of a nationally representative sample of Gambian students aged 12–20 years, we reported a prevalence of current smoking of 7.9% in boys and 1.5% in girls and found that shisha use was becoming increasingly popular.12 To our knowledge, data on smoking susceptibility in The Gambia are not available. Therefore, in this study, we report a nationwide survey of the prevalence of smoking susceptibility and the risk factors for susceptibility among young people in The Gambia.

Methods

Study Population and Variables

The study was carried out in a sample of Upper Basic Schools (UBS) and Senior Secondary Schools (SSS) throughout The Gambia, using methods described previously.12 Briefly, two-stage cluster sampling was used to generate a nationally representative sample of students in grades 7 to 12 (aged 12–20 years). In the first stage, schools were randomly selected from a list of schools with a probability proportional to their enrolment size and, in the second stage, classes within the selected schools were randomly selected from the total number of classes in the schools. All students in the selected classes were eligible to participate.

Participating students completed a self-administered questionnaire adapted from the WHO Global Youth Tobacco Survey (GYTS) questionnaire. Data were collected on a range of variables including demographic details, smoking susceptibility, exposure to tobacco advertisements and promotion, anti-smoking media messages, beliefs about the danger of smoking, and the perceived benefits of smoking. The questionnaire also included a series of questions on several indicators of tobacco use, exposure to second-hand smoke (SHS), support for public smoking regulations, and knowledge of the harmful effect of SHS; these data have been reported in a separate publication.12

We measured the outcome variable, susceptibility to smoking, using two standard GYTS questions: (1) “If one of your best friends offered you a tobacco product, would you smoke it?” and (2) “At any time during the next 12 months do you think you will smoke any form of tobacco?” Students who were currently nonsmokers and answered “definitely not” to both questions were coded as nonsusceptible and others who answered “probably not,” “probably yes,” or “definitely yes” to either question were labelled as susceptible to smoking.13–15 Current smoking was defined as any smoking of cigarettes, cigars, or pipes at any time in the past 30 days. All students who responded “definitely not” and “probably not” to the question on knowledge of the harmful effects of smoking were defined as having poor knowledge and those who responded “probably yes” and “definitely yes” were defined as having good knowledge. Ethical approvals for the survey were obtained from The Gambia Government/Medical Research Council (MRC) Joint Ethics Committee (SCC 1468v2) and from the Ethics Committee of the Faculty of School of Medicine and Health Sciences of the University of Nottingham, UK (OVS24022016 SoM EPH).

Statistical Analysis

The data were initially entered in to Microsoft Access and exported to Stata version 15 for analysis and only nonsmokers were included in the analysis of the study. Descriptive and chi-square analyses were used to obtain estimates of the prevalence of susceptibility to smoke and to determine the association of smoking susceptibility to students’ demographic characteristics, awareness of tobacco advertisements, attitudes, beliefs, and perceived benefits of smoking. Univariate logistic regression was carried out first to look for association between smoking susceptibility (outcome variable) and the exposure variables. The exposure variables included gender, age, school locality, school funding source, religion, home smoking rules, family and friends’ smoking status, whether students were sent to purchase cigarettes for others, knowledge of the harmful effects of smoking, and exposure to tobacco advertisements. Gender, purchasing cigarettes for others, knowledge of the harmful effects of smoking, and exposure to tobacco advertisements were entered as binary variables and the rest of the exposure variables were categorical. We constructed a multivariate logistic regression model to ascertain the predicting factors of smoking susceptibility. Similar to previous analyses,13,16 we adjusted for a priori confounders comprising age, gender, and rural/urban area of school, which previous studies have suggested are associated with susceptibility to initiate tobacco use.6,7 Variables with p values equal to or less than 0.05 in the univariate analysis were included in the final model.

Results

Sample Description

Details of the socio-demographic characteristics and prevalence of active smoking in this survey population have been reported elsewhere.12 In brief, a total of 50 schools throughout the country participated in the study, including 33 upper basic and 17 senior secondary schools, comprising 13 private, 27 public, and 10 grant-aided schools. All schools (100%) approached during the study participated. A total of 10395 students were registered in the selected classes, of which 10289 (99%) students participated in the study. After excluding the 455 current smokers, 9831 students were included in the current analysis.

Characteristics of the Study Population and Prevalence of Smoking Susceptibility

Detailed characteristics of the study participants by smoking susceptibility are summarized in Table 1. Among the total sample of 9831 students, 3333 (33.9%) of never smokers were susceptible to initiating smoking and 6498 (66.1%) were nonsusceptible. More than half (57.2%) of the participants were girls and 42.7% were boys. About half (51.5%) were aged between 14 and 17 years; 56.2% in UBS schools, 74.8% in public schools, and 76.2% of the students were attending schools in rural areas. The majority of the students were Muslims (96.2%), lived with their parents (80.0%), or lived in a home where smoking was not restricted (71.6%). Around 20% of students reported having a smoking parent and/or sibling. Most students had friends who were nonsmokers (67.5%) and about 43.7% were sent to buy cigarettes for their parents or others. Smoking susceptibility was more common among students attending grant-aided schools (45.3%), those of Christian or other faiths compared with Muslims, those who lived without parents (36.1%), who were subject to partial home smoking rules (42.5%), who had smoking mothers (63.1%), who had one or more family members and friends that smoked, and students who were sent to purchase cigarettes for others.

Table 1.

Baseline Characteristics of the Study Participants by Smoking Susceptibility

CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
N (%)6498 (66.1)3333 (33.9)
Gender.628
 Boys4201 (42.7)2788 (66.3)1413 (33.6)
 Girls5630 (57.2)3710 (65.9)1920 (34.1)
Age group.542
 12–142167 (22.0)1411 (65.1)756 (34.8)
 15–175071 (51.5)3369 (66.4)1702 (33.5)
 18–202593 (26.3)1781 (66.2)875 (33.7)
School type.461
 UBS5533 (56.2)3640 (65.7)1893 (34.2)
 SSS4298 (43.7)2858 (66.5)1440 (33.5)
School funding<.001
 Public7356 (74.8)4946 (67.2)2410 (32.7)
 Grant-aided1015 (10.3)555 (54.6)460 (45.30)
 Private1460 (14.8)997 (68.20)463 (31.70)
School locality.560
 Rural2335 (23.7)1555 (66.6)780 (33.4)
 Urban7496 (76.2)4943 (65.90)2553 (34.0)
Religion<.001
 Muslim9463 (96.2)6108 (66.6)3055 (33.3)
 Christian561 (5.7)351 (62.5)210 (37.4)
 Other88 (0.8)28 (31.8)60 (68.1)
Living with parents.021
 Yes7873 (80.0)5245 (66.6)2625 (33.3)
 No1953 (19.9)1248 (63.9)705 (36.1)
Home smoking rules<.001
 No7043 (71.6)4799 (68.1)2244 (31.8)
 Sometimes1010 (10.2)580 (57.4)430 (42.5)
 Yes1775 (18.0)1117 (62.9)658 (37.0)
Family smoking<.001
 None7125 (72.4)4997 (70.1)2128 (29.8)
 Mother244 (2.4)90 (36.8)154 (63.1)
 Father1110 (11.2)657 (59.1)453 (40.8)
 Brother/Sister652 (6.6)358 (54.9)294 (45.0)
 Others695 (7.0)394 (56.6)301 (43.3)
Number friends who smoke<.001
 None6640 (67.5)4659 (70.1)1981 (28.8)
 One621 (6.3)279 (44.9)342 (55.0)
 Two310 (3.1)165 (53.2)145 (46.7)
 Three or more618 (6.2)327 (52.9)291 (47.0)
 Not sure1633 (16.6)1062 (66.1)571 (34.9)
Sent to buy cigarettes for parents or others<.001
 Yes4298 (43.7)2756 (64.1)1542 (35.8)
 No5523 (56.2)3739 (67.7)1784 (32.0)
Knowledge of harmful effects of smoking<.001
 Good4023 (40.9)2295 (57.0)1728 (42.9)
 Poor5803 (59.0)4203 (72.4)1600 (27.5)
CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
N (%)6498 (66.1)3333 (33.9)
Gender.628
 Boys4201 (42.7)2788 (66.3)1413 (33.6)
 Girls5630 (57.2)3710 (65.9)1920 (34.1)
Age group.542
 12–142167 (22.0)1411 (65.1)756 (34.8)
 15–175071 (51.5)3369 (66.4)1702 (33.5)
 18–202593 (26.3)1781 (66.2)875 (33.7)
School type.461
 UBS5533 (56.2)3640 (65.7)1893 (34.2)
 SSS4298 (43.7)2858 (66.5)1440 (33.5)
School funding<.001
 Public7356 (74.8)4946 (67.2)2410 (32.7)
 Grant-aided1015 (10.3)555 (54.6)460 (45.30)
 Private1460 (14.8)997 (68.20)463 (31.70)
School locality.560
 Rural2335 (23.7)1555 (66.6)780 (33.4)
 Urban7496 (76.2)4943 (65.90)2553 (34.0)
Religion<.001
 Muslim9463 (96.2)6108 (66.6)3055 (33.3)
 Christian561 (5.7)351 (62.5)210 (37.4)
 Other88 (0.8)28 (31.8)60 (68.1)
Living with parents.021
 Yes7873 (80.0)5245 (66.6)2625 (33.3)
 No1953 (19.9)1248 (63.9)705 (36.1)
Home smoking rules<.001
 No7043 (71.6)4799 (68.1)2244 (31.8)
 Sometimes1010 (10.2)580 (57.4)430 (42.5)
 Yes1775 (18.0)1117 (62.9)658 (37.0)
Family smoking<.001
 None7125 (72.4)4997 (70.1)2128 (29.8)
 Mother244 (2.4)90 (36.8)154 (63.1)
 Father1110 (11.2)657 (59.1)453 (40.8)
 Brother/Sister652 (6.6)358 (54.9)294 (45.0)
 Others695 (7.0)394 (56.6)301 (43.3)
Number friends who smoke<.001
 None6640 (67.5)4659 (70.1)1981 (28.8)
 One621 (6.3)279 (44.9)342 (55.0)
 Two310 (3.1)165 (53.2)145 (46.7)
 Three or more618 (6.2)327 (52.9)291 (47.0)
 Not sure1633 (16.6)1062 (66.1)571 (34.9)
Sent to buy cigarettes for parents or others<.001
 Yes4298 (43.7)2756 (64.1)1542 (35.8)
 No5523 (56.2)3739 (67.7)1784 (32.0)
Knowledge of harmful effects of smoking<.001
 Good4023 (40.9)2295 (57.0)1728 (42.9)
 Poor5803 (59.0)4203 (72.4)1600 (27.5)

*Chi-square test was used to calculate p value.

Table 1.

Baseline Characteristics of the Study Participants by Smoking Susceptibility

CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
N (%)6498 (66.1)3333 (33.9)
Gender.628
 Boys4201 (42.7)2788 (66.3)1413 (33.6)
 Girls5630 (57.2)3710 (65.9)1920 (34.1)
Age group.542
 12–142167 (22.0)1411 (65.1)756 (34.8)
 15–175071 (51.5)3369 (66.4)1702 (33.5)
 18–202593 (26.3)1781 (66.2)875 (33.7)
School type.461
 UBS5533 (56.2)3640 (65.7)1893 (34.2)
 SSS4298 (43.7)2858 (66.5)1440 (33.5)
School funding<.001
 Public7356 (74.8)4946 (67.2)2410 (32.7)
 Grant-aided1015 (10.3)555 (54.6)460 (45.30)
 Private1460 (14.8)997 (68.20)463 (31.70)
School locality.560
 Rural2335 (23.7)1555 (66.6)780 (33.4)
 Urban7496 (76.2)4943 (65.90)2553 (34.0)
Religion<.001
 Muslim9463 (96.2)6108 (66.6)3055 (33.3)
 Christian561 (5.7)351 (62.5)210 (37.4)
 Other88 (0.8)28 (31.8)60 (68.1)
Living with parents.021
 Yes7873 (80.0)5245 (66.6)2625 (33.3)
 No1953 (19.9)1248 (63.9)705 (36.1)
Home smoking rules<.001
 No7043 (71.6)4799 (68.1)2244 (31.8)
 Sometimes1010 (10.2)580 (57.4)430 (42.5)
 Yes1775 (18.0)1117 (62.9)658 (37.0)
Family smoking<.001
 None7125 (72.4)4997 (70.1)2128 (29.8)
 Mother244 (2.4)90 (36.8)154 (63.1)
 Father1110 (11.2)657 (59.1)453 (40.8)
 Brother/Sister652 (6.6)358 (54.9)294 (45.0)
 Others695 (7.0)394 (56.6)301 (43.3)
Number friends who smoke<.001
 None6640 (67.5)4659 (70.1)1981 (28.8)
 One621 (6.3)279 (44.9)342 (55.0)
 Two310 (3.1)165 (53.2)145 (46.7)
 Three or more618 (6.2)327 (52.9)291 (47.0)
 Not sure1633 (16.6)1062 (66.1)571 (34.9)
Sent to buy cigarettes for parents or others<.001
 Yes4298 (43.7)2756 (64.1)1542 (35.8)
 No5523 (56.2)3739 (67.7)1784 (32.0)
Knowledge of harmful effects of smoking<.001
 Good4023 (40.9)2295 (57.0)1728 (42.9)
 Poor5803 (59.0)4203 (72.4)1600 (27.5)
CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
N (%)6498 (66.1)3333 (33.9)
Gender.628
 Boys4201 (42.7)2788 (66.3)1413 (33.6)
 Girls5630 (57.2)3710 (65.9)1920 (34.1)
Age group.542
 12–142167 (22.0)1411 (65.1)756 (34.8)
 15–175071 (51.5)3369 (66.4)1702 (33.5)
 18–202593 (26.3)1781 (66.2)875 (33.7)
School type.461
 UBS5533 (56.2)3640 (65.7)1893 (34.2)
 SSS4298 (43.7)2858 (66.5)1440 (33.5)
School funding<.001
 Public7356 (74.8)4946 (67.2)2410 (32.7)
 Grant-aided1015 (10.3)555 (54.6)460 (45.30)
 Private1460 (14.8)997 (68.20)463 (31.70)
School locality.560
 Rural2335 (23.7)1555 (66.6)780 (33.4)
 Urban7496 (76.2)4943 (65.90)2553 (34.0)
Religion<.001
 Muslim9463 (96.2)6108 (66.6)3055 (33.3)
 Christian561 (5.7)351 (62.5)210 (37.4)
 Other88 (0.8)28 (31.8)60 (68.1)
Living with parents.021
 Yes7873 (80.0)5245 (66.6)2625 (33.3)
 No1953 (19.9)1248 (63.9)705 (36.1)
Home smoking rules<.001
 No7043 (71.6)4799 (68.1)2244 (31.8)
 Sometimes1010 (10.2)580 (57.4)430 (42.5)
 Yes1775 (18.0)1117 (62.9)658 (37.0)
Family smoking<.001
 None7125 (72.4)4997 (70.1)2128 (29.8)
 Mother244 (2.4)90 (36.8)154 (63.1)
 Father1110 (11.2)657 (59.1)453 (40.8)
 Brother/Sister652 (6.6)358 (54.9)294 (45.0)
 Others695 (7.0)394 (56.6)301 (43.3)
Number friends who smoke<.001
 None6640 (67.5)4659 (70.1)1981 (28.8)
 One621 (6.3)279 (44.9)342 (55.0)
 Two310 (3.1)165 (53.2)145 (46.7)
 Three or more618 (6.2)327 (52.9)291 (47.0)
 Not sure1633 (16.6)1062 (66.1)571 (34.9)
Sent to buy cigarettes for parents or others<.001
 Yes4298 (43.7)2756 (64.1)1542 (35.8)
 No5523 (56.2)3739 (67.7)1784 (32.0)
Knowledge of harmful effects of smoking<.001
 Good4023 (40.9)2295 (57.0)1728 (42.9)
 Poor5803 (59.0)4203 (72.4)1600 (27.5)

*Chi-square test was used to calculate p value.

Awareness of Tobacco Advertisement and Promotion

Participants’ awareness of tobacco advertisements and promotion, both overall and by smoking susceptibility status, is summarized in Table 2. About half (49.3%) of all students had noticed tobacco advertisements in the media (TV, videos, and movies) and one in six had noticed point-of-sale tobacco advertisements. Among those students who noticed point-of-sale tobacco advertisements, the brands most widely noticed were Bond Street (14.4%), Monte Carlo (6.1%), Piccadilly (5.9%), and Business Royal (2.6%; data not shown). About 12.9% of students had been offered a free cigarette by a tobacco company sales agent and 15.0% of participants owned an item with a tobacco logo or brand on it. The majority of students (58.8%) would not wear or use an item with a tobacco brand name or logo on it. More than half (59.7%) of all students indicated that they would support a tobacco advertisement ban. In addition, smoking susceptibility was more common among students who noticed point-of-sale tobacco advertisements (42.4%), who had been offered a free cigarette (56.9%), who owned an item with a tobacco brand or logo (51.9%), who were prepared to wear something with tobacco brand on it, and those who did not support a tobacco advertisement ban (43.1%).

Table 2.

Awareness of Tobacco Advertisement and Promotion Among Study Participants

CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Noticed tobacco advertisement in the media.013
 No4976 (50.6)3231 (64.9)1745 (35.0)
 Yes4855 (49.3)3269 (67.2)1588 (32.7)
Noticed point-of-sale tobacco advertisement<.001
 No8251 (83.9)5589 (67.7)2662 (32.2)
 Yes1580 (16.0)909 (57.5)671 (42.4)
Offered a free cigarette by tobacco company sales agents<.001
 Yes1275 (12.9)549 (43.0)726 (56.9)
 No8540 (87.0)5949 (69.6)2591 (30.3)
Own anything with a tobacco brand/logo<.001
 Yes1470 (15.0)707 (48.1)763 (51.9)
 No8332 (85.0)5780 (69.3)2552 (30.6)
Wear or use something with a tobacco brand<.001
 Yes1098 (11.9)646 (56.1)482 (43.9)
 May be2938 (29.9)1711 (58.2)1227 (41.76)
 No5775 (58.8)4168 (72.1)1607 (27.8)
Support tobacco advertisement ban<.001
 No3951 (40.2)2248 (56.9)1703 (43.1)
 Yes5857 (59.7)4245 (72.4)1612 (27.5)
CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Noticed tobacco advertisement in the media.013
 No4976 (50.6)3231 (64.9)1745 (35.0)
 Yes4855 (49.3)3269 (67.2)1588 (32.7)
Noticed point-of-sale tobacco advertisement<.001
 No8251 (83.9)5589 (67.7)2662 (32.2)
 Yes1580 (16.0)909 (57.5)671 (42.4)
Offered a free cigarette by tobacco company sales agents<.001
 Yes1275 (12.9)549 (43.0)726 (56.9)
 No8540 (87.0)5949 (69.6)2591 (30.3)
Own anything with a tobacco brand/logo<.001
 Yes1470 (15.0)707 (48.1)763 (51.9)
 No8332 (85.0)5780 (69.3)2552 (30.6)
Wear or use something with a tobacco brand<.001
 Yes1098 (11.9)646 (56.1)482 (43.9)
 May be2938 (29.9)1711 (58.2)1227 (41.76)
 No5775 (58.8)4168 (72.1)1607 (27.8)
Support tobacco advertisement ban<.001
 No3951 (40.2)2248 (56.9)1703 (43.1)
 Yes5857 (59.7)4245 (72.4)1612 (27.5)

*Chi-square test was used to calculate p value.

Table 2.

Awareness of Tobacco Advertisement and Promotion Among Study Participants

CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Noticed tobacco advertisement in the media.013
 No4976 (50.6)3231 (64.9)1745 (35.0)
 Yes4855 (49.3)3269 (67.2)1588 (32.7)
Noticed point-of-sale tobacco advertisement<.001
 No8251 (83.9)5589 (67.7)2662 (32.2)
 Yes1580 (16.0)909 (57.5)671 (42.4)
Offered a free cigarette by tobacco company sales agents<.001
 Yes1275 (12.9)549 (43.0)726 (56.9)
 No8540 (87.0)5949 (69.6)2591 (30.3)
Own anything with a tobacco brand/logo<.001
 Yes1470 (15.0)707 (48.1)763 (51.9)
 No8332 (85.0)5780 (69.3)2552 (30.6)
Wear or use something with a tobacco brand<.001
 Yes1098 (11.9)646 (56.1)482 (43.9)
 May be2938 (29.9)1711 (58.2)1227 (41.76)
 No5775 (58.8)4168 (72.1)1607 (27.8)
Support tobacco advertisement ban<.001
 No3951 (40.2)2248 (56.9)1703 (43.1)
 Yes5857 (59.7)4245 (72.4)1612 (27.5)
CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Noticed tobacco advertisement in the media.013
 No4976 (50.6)3231 (64.9)1745 (35.0)
 Yes4855 (49.3)3269 (67.2)1588 (32.7)
Noticed point-of-sale tobacco advertisement<.001
 No8251 (83.9)5589 (67.7)2662 (32.2)
 Yes1580 (16.0)909 (57.5)671 (42.4)
Offered a free cigarette by tobacco company sales agents<.001
 Yes1275 (12.9)549 (43.0)726 (56.9)
 No8540 (87.0)5949 (69.6)2591 (30.3)
Own anything with a tobacco brand/logo<.001
 Yes1470 (15.0)707 (48.1)763 (51.9)
 No8332 (85.0)5780 (69.3)2552 (30.6)
Wear or use something with a tobacco brand<.001
 Yes1098 (11.9)646 (56.1)482 (43.9)
 May be2938 (29.9)1711 (58.2)1227 (41.76)
 No5775 (58.8)4168 (72.1)1607 (27.8)
Support tobacco advertisement ban<.001
 No3951 (40.2)2248 (56.9)1703 (43.1)
 Yes5857 (59.7)4245 (72.4)1612 (27.5)

*Chi-square test was used to calculate p value.

Attitudes, Beliefs, and Perceived Benefits of Smoking Among Study Participants

Table 3 outlines the study participants’ attitudes, beliefs, and perceived benefits of smoking by smoking susceptibility status.

Table 3.

Attitudes, Beliefs, and Perceived Benefits of Smoking Among Study Participants

CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Difficult to quit once smoking is initiated<.001
 No4140 (42.1)3075 (74.2)1065 (25.7)
 Yes5691 (57.8)3423 (60.1)2268 (39.8)
Make people more comfortable in social gathering<.001
 No6296 (64.0)4300 (68.3)1996 (31.7)
 Yes1475 (15.0)805 (54.5)670 (45.4)
 Don’t know2055 (20.9)1393 (67.7)662 (32.2)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001
 No6376 (64.8)4920 (77.1)1456 (22.8)
 Yes3455 (35.1)1578 (45.6)1877 (54.3)
Have more or less friends<.001
 Less friends4728 (48.1)3425 (72.4)1303 (27.5)
 More friends2188 (22.2)1309 (59.8)879 (40.1)
 No difference2898 (29.5)1762 (60.8)1136 (39.2)
Make people more or less attractive<.001
 Less attractive5470 (55.6)3924 (71.7)1546 (28.2)
 More attractive1756 (17.8)1079 (61.4)677 (38.5)
 No difference to nonsmokers2597 (26.4)1493 (57.4)1104 (42.5)
Can improve general health status<.001
 Yes943 (9.6)436 (46.2)507 (53.7)
 No6993 (71.1)4988 (71.3)2005 (28.6)
 Don’t know1888 (19.2)1074 (56.8)814 (43.1)
Can help to lose weight<.001
 Yes4621 (47.0)3287 (71.3)1334 (28.8)
 No3041 (30.9)1811 (59.5)1230 (40.4)
 Don’t know2164 (22.0)1400 (64.7)764 (35.3)
Can make people more relaxed<.001
 Yes1850 (18.8)1051 (56.8)799 (43.1)
 No5374 (54.6)3645 (67.8)1729 (32.1)
 I don’t know2602 (26.4)1802 (69.2)800 (30.7)
CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Difficult to quit once smoking is initiated<.001
 No4140 (42.1)3075 (74.2)1065 (25.7)
 Yes5691 (57.8)3423 (60.1)2268 (39.8)
Make people more comfortable in social gathering<.001
 No6296 (64.0)4300 (68.3)1996 (31.7)
 Yes1475 (15.0)805 (54.5)670 (45.4)
 Don’t know2055 (20.9)1393 (67.7)662 (32.2)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001
 No6376 (64.8)4920 (77.1)1456 (22.8)
 Yes3455 (35.1)1578 (45.6)1877 (54.3)
Have more or less friends<.001
 Less friends4728 (48.1)3425 (72.4)1303 (27.5)
 More friends2188 (22.2)1309 (59.8)879 (40.1)
 No difference2898 (29.5)1762 (60.8)1136 (39.2)
Make people more or less attractive<.001
 Less attractive5470 (55.6)3924 (71.7)1546 (28.2)
 More attractive1756 (17.8)1079 (61.4)677 (38.5)
 No difference to nonsmokers2597 (26.4)1493 (57.4)1104 (42.5)
Can improve general health status<.001
 Yes943 (9.6)436 (46.2)507 (53.7)
 No6993 (71.1)4988 (71.3)2005 (28.6)
 Don’t know1888 (19.2)1074 (56.8)814 (43.1)
Can help to lose weight<.001
 Yes4621 (47.0)3287 (71.3)1334 (28.8)
 No3041 (30.9)1811 (59.5)1230 (40.4)
 Don’t know2164 (22.0)1400 (64.7)764 (35.3)
Can make people more relaxed<.001
 Yes1850 (18.8)1051 (56.8)799 (43.1)
 No5374 (54.6)3645 (67.8)1729 (32.1)
 I don’t know2602 (26.4)1802 (69.2)800 (30.7)

*Chi-square test was used to calculate p value.

Table 3.

Attitudes, Beliefs, and Perceived Benefits of Smoking Among Study Participants

CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Difficult to quit once smoking is initiated<.001
 No4140 (42.1)3075 (74.2)1065 (25.7)
 Yes5691 (57.8)3423 (60.1)2268 (39.8)
Make people more comfortable in social gathering<.001
 No6296 (64.0)4300 (68.3)1996 (31.7)
 Yes1475 (15.0)805 (54.5)670 (45.4)
 Don’t know2055 (20.9)1393 (67.7)662 (32.2)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001
 No6376 (64.8)4920 (77.1)1456 (22.8)
 Yes3455 (35.1)1578 (45.6)1877 (54.3)
Have more or less friends<.001
 Less friends4728 (48.1)3425 (72.4)1303 (27.5)
 More friends2188 (22.2)1309 (59.8)879 (40.1)
 No difference2898 (29.5)1762 (60.8)1136 (39.2)
Make people more or less attractive<.001
 Less attractive5470 (55.6)3924 (71.7)1546 (28.2)
 More attractive1756 (17.8)1079 (61.4)677 (38.5)
 No difference to nonsmokers2597 (26.4)1493 (57.4)1104 (42.5)
Can improve general health status<.001
 Yes943 (9.6)436 (46.2)507 (53.7)
 No6993 (71.1)4988 (71.3)2005 (28.6)
 Don’t know1888 (19.2)1074 (56.8)814 (43.1)
Can help to lose weight<.001
 Yes4621 (47.0)3287 (71.3)1334 (28.8)
 No3041 (30.9)1811 (59.5)1230 (40.4)
 Don’t know2164 (22.0)1400 (64.7)764 (35.3)
Can make people more relaxed<.001
 Yes1850 (18.8)1051 (56.8)799 (43.1)
 No5374 (54.6)3645 (67.8)1729 (32.1)
 I don’t know2602 (26.4)1802 (69.2)800 (30.7)
CharacteristicsTotal
N = 9831
Nonsusceptible
N (%)
Susceptible
N (%)
p value
Difficult to quit once smoking is initiated<.001
 No4140 (42.1)3075 (74.2)1065 (25.7)
 Yes5691 (57.8)3423 (60.1)2268 (39.8)
Make people more comfortable in social gathering<.001
 No6296 (64.0)4300 (68.3)1996 (31.7)
 Yes1475 (15.0)805 (54.5)670 (45.4)
 Don’t know2055 (20.9)1393 (67.7)662 (32.2)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001
 No6376 (64.8)4920 (77.1)1456 (22.8)
 Yes3455 (35.1)1578 (45.6)1877 (54.3)
Have more or less friends<.001
 Less friends4728 (48.1)3425 (72.4)1303 (27.5)
 More friends2188 (22.2)1309 (59.8)879 (40.1)
 No difference2898 (29.5)1762 (60.8)1136 (39.2)
Make people more or less attractive<.001
 Less attractive5470 (55.6)3924 (71.7)1546 (28.2)
 More attractive1756 (17.8)1079 (61.4)677 (38.5)
 No difference to nonsmokers2597 (26.4)1493 (57.4)1104 (42.5)
Can improve general health status<.001
 Yes943 (9.6)436 (46.2)507 (53.7)
 No6993 (71.1)4988 (71.3)2005 (28.6)
 Don’t know1888 (19.2)1074 (56.8)814 (43.1)
Can help to lose weight<.001
 Yes4621 (47.0)3287 (71.3)1334 (28.8)
 No3041 (30.9)1811 (59.5)1230 (40.4)
 Don’t know2164 (22.0)1400 (64.7)764 (35.3)
Can make people more relaxed<.001
 Yes1850 (18.8)1051 (56.8)799 (43.1)
 No5374 (54.6)3645 (67.8)1729 (32.1)
 I don’t know2602 (26.4)1802 (69.2)800 (30.7)

*Chi-square test was used to calculate p value.

The majority (57.8%) of the students agreed that it would be difficult to quit smoking once initiated. Around 15.0% of the participants believed that smoking makes people more comfortable at social gatherings and 35.1% that it is safe to smoke tobacco as long as you can quit later. One in five students also believed that smoking can help people to have more friends. In addition, about one in six participants believed that smoking makes people more attractive (17.8%); one in ten participants believed that smoking can help improve general health status; almost half (47.0%) believed that smoking can help people lose weight; and 18.8% believed that smoking makes people feel more relaxed. Perceptions that smokers are more comfortable at social gatherings and are more attractive and relaxed than nonsmokers were significantly positively associated with susceptibility to smoking. Additionally, susceptibility to smoking was more common among students who believed that it is safe to smoke so long as you quit later, those who believed that smoking can help to lose weight, and those who believed that smoking can improve general health status.

Independent Determinants of Smoking Susceptibility Among the Study Participants

The association between smoking susceptibility and student characteristics is outlined in Table 4. After adjusting for all independent variables, smoking susceptibility was more common among students attending grant-aided schools (OR = 1.59, 95% CI = 1.35 to 1.87), of Christian or other non-Muslim faiths (OR = 2.01, 95% CI = 1.17 to 3.46), who had smoking sometimes allowed in their homes (OR = 1.33, 95% CI = 1.13 to 1.56), had family members or friends who smoked, and were sent to purchase cigarettes for others. Additionally, students who had poor knowledge of the harmful effects of smoking (OR = 1.65, 95% CI = 1.48 to 1.83) and those who noticed point-of-sale tobacco advertisements (OR = 1.15, 95% CI = 1.01 to 1.32) were significantly more likely to be susceptible to smoking. Students who had been offered a free cigarette, owned and used a tobacco branded item, who believed that it is difficult to quit once smoking is initiated, that it is safe to smoke as long as one quits later on, that smoking can improve general health status, and that smoking can make people relaxed were significantly more likely to be susceptible to smoking. Students with perceptions that smokers have more friends, being more attractive, and that smoking can help to lose weight were significantly less likely to be susceptibility to smoking.

Table 4.

Prevalence and Determinants of Susceptibility to Smoking Among Current Nonsmokers

CharacteristicsTotal N = 9831Susceptible nonsmokers N = 3333Unadjusted ORp valueAdjusted ORp value
Gender.628.585
 Boys42011413 (33.6)11
 Girls56301920 (34.1)1.02 (0.93–1.11)1.02 (0.92–1.13)
Age group.541.280
 12–142167756 (34.8)11
 15–1750711702 (33.5)0.94 (0.84–1.04)0.97 (0.86–1.10)
 18–202593875 (33.7)0.95 (0.84–1.07)1.07 (0.92–1.23)
School funding<.001<.001
 Public73562410 (32.7)11
 Grant-aided1015460 (45.30)1.70 (1.48–1.94)1.59 (1.35–1.87)
 Private1460463 (31.70)0.95 (0.84–1.07)1.04 (0.90–1.20)
School locality.560.477
 Rural2335780 (33.4)11
 Urban74962553 (34.0)1.02 (0.93–1.13)1.04 (0.92–1.17)
Religion<.0011.004
 Muslim94633055 (33.3)10.99 (0.80–1.22)
 Christian561210 (37.4)1.19 (1.00–1.42)2.01(1.17–
 Other8860 (68.1)4.28 (2.72–6.72)3.46)
Living with parents.021.291
 Yes78732625 (33.3)11
 No1953705 (36.1)0.88 (0.79–098)1.06 (0.94–1.20)
Home smoking rules<.001.001
 No70432244 (31.8)11
 Sometimes1010430 (42.5)1.58 (1.38–1.81)1.33 (1.13–1.56)
 Yes1775658 (37.0)1.25 (1.13–1.40)0.98 (0.86–1.12)
Family smoking<.001<.001
 None71252128 (29.8)11
 Mother244154 (63.1)4.01 (3.08–5.23)2.56 (1.87–3.50)
 Father1110453 (40.8)1.61 (1.42–1.84)1.48 (1.26–1.74)
 Brother/Sister652294 (45.0)1.92 (1.63–2.26)1.91 (1.58–2.31)
 Others695301 (43.3)1.79 (1.53–2.10)1.50 (1.24–1.81)
Number of friends who smoke<.001<.001
 None66401981 (28.8)11
 One621342 (55.0)2.88 (2.44–3.40)1.62 (1.33–1.99)
 Two310145 (46.7)2.06 (1.64–2.59)1.28 (0.97–1.68)
 Three or more618291 (47.0)2.09 (1.77–2.47)1.48 (1.21–1.81)
 Not sure1633571 (34.9)1.26 (1.12–1.41)1.06 (0.93–1.21)
Sent to buy cigarettes for others<.001<.001
 Yes42981542 (35.8)11
 No55231784 (32.00)0.85 (0.78–0.92)0.81 (0.73–0.90)
Knowledge of harmful effects of smoking<.001<.001
 Good40231728 (27.5)11
 Poor58031600 (42.9)1.97 (1.81–2.15)1.65 (1.48–1.83)
Noticed tobacco advertisement in media.013.148
 No49761745 (35.07)11
 Yes48553231 (64.9)0.90 (0.82–0.97)0.92 (0.84–1.02)
Noticed point of sale tobacco advertisement<.001.032
 No82512662 (32.2)11
 Yes1580671 (42.4)1.54 (1.38–1.72)1.15 (1.01–1.32)
Offered a free cigarette by tobacco company sales agents<.001<.001
 Yes1275 (12.9)726 (56.9)11
 No8540 (87.0)2591 (30.3)0.32 (0.29–0.37)0.50(0.43–0.57)
Own anything with a tobacco brand/logo<.001<.001
 Yes1470 (15.0)763 (51.9)11
 No8332 (85.0)2552 (30.6)0.40 (0.36–0.45)0.76 (0.66–0.87)
Wear or use something with a tobacco brand<.001<.001
 Yes1098 (11.9)482 (43.9)11
 May be2938 (29.9)1227 (41.76)0.91 (0.79–1.05)1.03 (0.88–1.22)
 No5775 (58.8)1607 (27.8)0.49 (0.43–0.56)0.70 (0.59–0.82)
Difficult to quit once smoking is initiated<.001<.001
 No4140 (42.1)1065 (25.7)11
 Yes5691 (57.8)2268 (39.8)1.91 (1.75–2.08)2.01 (1.81–2.22)
Make people more comfortable in social gathering.002.424
 No6296 (64.0)1996 (31.7)11
 Yes1475 (15.0)670 (45.4)0.78 (0.70–0.88)0.93 (0.81–1.08)
 Don’t know2055 (20.9)662 (32.2)0.80 (0.71–0.90)0.88 (0.73–1.08)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001<.001
 No6376 (64.8)1456 (22.8)11
 Yes3455 (35.1)1877 (54.3)4.01 (3.67–4.39)3.35 (3.04–3.70)
Have more or less friends<.001<.001
 Less friends4728 (48.1)1303 (27.5)11
 More friends2188 (22.2)879 (40.1)0.56 (0.50–0.63)0.69 (0.60–0.78)
 No difference2898 (29.5)1136 (39.2)0.96 (0.85–1.07)0.85 (0.74–0.97)
Make people more or less attractive<.001<.001
 Less attractive5470 (55.6)1546 (28.2)11
 More attractive1756 (17.8)677 (38.5)0.62 (0.56–0.70)0.89 (0.78–1.02)
 No difference2597 (26.4)1104 (42.5)1.17 (1.04–1.33)1.29 (1.11–1.51)
Can improve general health status<.001<.001
 Yes943 (9.6)507 (53.7)11
 No6993 (71.1)2005 (28.6)0.34 (0.30–0.39)0.50 (0.43–0.59)
 Don’t know1888 (19.2)814 (43.1)0.65 (0.55–0.76)0.74 (0.61–0.89)
Can help to lose weight<.001<.001
 Yes4621 (47.0)1334 (28.8)11
 No3041 (30.9)1230 (40.4)1.67 (1.51–1.84)1.40 (1.25–1.58)
 Don’t know2164 (22.0)764 (35.3)1.34 (1.20–1.49)1.22 (1.06–1.41)
Can make people more relaxed<.001<.001
 Yes1850 (18.8)799 (43.1)11
 No5374 (54.6)1729 (32.1)0.62 (0.55–0.69)0.69 (0.61–0.79)
 I don’t know2602 (26.4)800 (30.7)0.58 (0.51–0.66)0.56 (0.48–0.66)
CharacteristicsTotal N = 9831Susceptible nonsmokers N = 3333Unadjusted ORp valueAdjusted ORp value
Gender.628.585
 Boys42011413 (33.6)11
 Girls56301920 (34.1)1.02 (0.93–1.11)1.02 (0.92–1.13)
Age group.541.280
 12–142167756 (34.8)11
 15–1750711702 (33.5)0.94 (0.84–1.04)0.97 (0.86–1.10)
 18–202593875 (33.7)0.95 (0.84–1.07)1.07 (0.92–1.23)
School funding<.001<.001
 Public73562410 (32.7)11
 Grant-aided1015460 (45.30)1.70 (1.48–1.94)1.59 (1.35–1.87)
 Private1460463 (31.70)0.95 (0.84–1.07)1.04 (0.90–1.20)
School locality.560.477
 Rural2335780 (33.4)11
 Urban74962553 (34.0)1.02 (0.93–1.13)1.04 (0.92–1.17)
Religion<.0011.004
 Muslim94633055 (33.3)10.99 (0.80–1.22)
 Christian561210 (37.4)1.19 (1.00–1.42)2.01(1.17–
 Other8860 (68.1)4.28 (2.72–6.72)3.46)
Living with parents.021.291
 Yes78732625 (33.3)11
 No1953705 (36.1)0.88 (0.79–098)1.06 (0.94–1.20)
Home smoking rules<.001.001
 No70432244 (31.8)11
 Sometimes1010430 (42.5)1.58 (1.38–1.81)1.33 (1.13–1.56)
 Yes1775658 (37.0)1.25 (1.13–1.40)0.98 (0.86–1.12)
Family smoking<.001<.001
 None71252128 (29.8)11
 Mother244154 (63.1)4.01 (3.08–5.23)2.56 (1.87–3.50)
 Father1110453 (40.8)1.61 (1.42–1.84)1.48 (1.26–1.74)
 Brother/Sister652294 (45.0)1.92 (1.63–2.26)1.91 (1.58–2.31)
 Others695301 (43.3)1.79 (1.53–2.10)1.50 (1.24–1.81)
Number of friends who smoke<.001<.001
 None66401981 (28.8)11
 One621342 (55.0)2.88 (2.44–3.40)1.62 (1.33–1.99)
 Two310145 (46.7)2.06 (1.64–2.59)1.28 (0.97–1.68)
 Three or more618291 (47.0)2.09 (1.77–2.47)1.48 (1.21–1.81)
 Not sure1633571 (34.9)1.26 (1.12–1.41)1.06 (0.93–1.21)
Sent to buy cigarettes for others<.001<.001
 Yes42981542 (35.8)11
 No55231784 (32.00)0.85 (0.78–0.92)0.81 (0.73–0.90)
Knowledge of harmful effects of smoking<.001<.001
 Good40231728 (27.5)11
 Poor58031600 (42.9)1.97 (1.81–2.15)1.65 (1.48–1.83)
Noticed tobacco advertisement in media.013.148
 No49761745 (35.07)11
 Yes48553231 (64.9)0.90 (0.82–0.97)0.92 (0.84–1.02)
Noticed point of sale tobacco advertisement<.001.032
 No82512662 (32.2)11
 Yes1580671 (42.4)1.54 (1.38–1.72)1.15 (1.01–1.32)
Offered a free cigarette by tobacco company sales agents<.001<.001
 Yes1275 (12.9)726 (56.9)11
 No8540 (87.0)2591 (30.3)0.32 (0.29–0.37)0.50(0.43–0.57)
Own anything with a tobacco brand/logo<.001<.001
 Yes1470 (15.0)763 (51.9)11
 No8332 (85.0)2552 (30.6)0.40 (0.36–0.45)0.76 (0.66–0.87)
Wear or use something with a tobacco brand<.001<.001
 Yes1098 (11.9)482 (43.9)11
 May be2938 (29.9)1227 (41.76)0.91 (0.79–1.05)1.03 (0.88–1.22)
 No5775 (58.8)1607 (27.8)0.49 (0.43–0.56)0.70 (0.59–0.82)
Difficult to quit once smoking is initiated<.001<.001
 No4140 (42.1)1065 (25.7)11
 Yes5691 (57.8)2268 (39.8)1.91 (1.75–2.08)2.01 (1.81–2.22)
Make people more comfortable in social gathering.002.424
 No6296 (64.0)1996 (31.7)11
 Yes1475 (15.0)670 (45.4)0.78 (0.70–0.88)0.93 (0.81–1.08)
 Don’t know2055 (20.9)662 (32.2)0.80 (0.71–0.90)0.88 (0.73–1.08)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001<.001
 No6376 (64.8)1456 (22.8)11
 Yes3455 (35.1)1877 (54.3)4.01 (3.67–4.39)3.35 (3.04–3.70)
Have more or less friends<.001<.001
 Less friends4728 (48.1)1303 (27.5)11
 More friends2188 (22.2)879 (40.1)0.56 (0.50–0.63)0.69 (0.60–0.78)
 No difference2898 (29.5)1136 (39.2)0.96 (0.85–1.07)0.85 (0.74–0.97)
Make people more or less attractive<.001<.001
 Less attractive5470 (55.6)1546 (28.2)11
 More attractive1756 (17.8)677 (38.5)0.62 (0.56–0.70)0.89 (0.78–1.02)
 No difference2597 (26.4)1104 (42.5)1.17 (1.04–1.33)1.29 (1.11–1.51)
Can improve general health status<.001<.001
 Yes943 (9.6)507 (53.7)11
 No6993 (71.1)2005 (28.6)0.34 (0.30–0.39)0.50 (0.43–0.59)
 Don’t know1888 (19.2)814 (43.1)0.65 (0.55–0.76)0.74 (0.61–0.89)
Can help to lose weight<.001<.001
 Yes4621 (47.0)1334 (28.8)11
 No3041 (30.9)1230 (40.4)1.67 (1.51–1.84)1.40 (1.25–1.58)
 Don’t know2164 (22.0)764 (35.3)1.34 (1.20–1.49)1.22 (1.06–1.41)
Can make people more relaxed<.001<.001
 Yes1850 (18.8)799 (43.1)11
 No5374 (54.6)1729 (32.1)0.62 (0.55–0.69)0.69 (0.61–0.79)
 I don’t know2602 (26.4)800 (30.7)0.58 (0.51–0.66)0.56 (0.48–0.66)
Table 4.

Prevalence and Determinants of Susceptibility to Smoking Among Current Nonsmokers

CharacteristicsTotal N = 9831Susceptible nonsmokers N = 3333Unadjusted ORp valueAdjusted ORp value
Gender.628.585
 Boys42011413 (33.6)11
 Girls56301920 (34.1)1.02 (0.93–1.11)1.02 (0.92–1.13)
Age group.541.280
 12–142167756 (34.8)11
 15–1750711702 (33.5)0.94 (0.84–1.04)0.97 (0.86–1.10)
 18–202593875 (33.7)0.95 (0.84–1.07)1.07 (0.92–1.23)
School funding<.001<.001
 Public73562410 (32.7)11
 Grant-aided1015460 (45.30)1.70 (1.48–1.94)1.59 (1.35–1.87)
 Private1460463 (31.70)0.95 (0.84–1.07)1.04 (0.90–1.20)
School locality.560.477
 Rural2335780 (33.4)11
 Urban74962553 (34.0)1.02 (0.93–1.13)1.04 (0.92–1.17)
Religion<.0011.004
 Muslim94633055 (33.3)10.99 (0.80–1.22)
 Christian561210 (37.4)1.19 (1.00–1.42)2.01(1.17–
 Other8860 (68.1)4.28 (2.72–6.72)3.46)
Living with parents.021.291
 Yes78732625 (33.3)11
 No1953705 (36.1)0.88 (0.79–098)1.06 (0.94–1.20)
Home smoking rules<.001.001
 No70432244 (31.8)11
 Sometimes1010430 (42.5)1.58 (1.38–1.81)1.33 (1.13–1.56)
 Yes1775658 (37.0)1.25 (1.13–1.40)0.98 (0.86–1.12)
Family smoking<.001<.001
 None71252128 (29.8)11
 Mother244154 (63.1)4.01 (3.08–5.23)2.56 (1.87–3.50)
 Father1110453 (40.8)1.61 (1.42–1.84)1.48 (1.26–1.74)
 Brother/Sister652294 (45.0)1.92 (1.63–2.26)1.91 (1.58–2.31)
 Others695301 (43.3)1.79 (1.53–2.10)1.50 (1.24–1.81)
Number of friends who smoke<.001<.001
 None66401981 (28.8)11
 One621342 (55.0)2.88 (2.44–3.40)1.62 (1.33–1.99)
 Two310145 (46.7)2.06 (1.64–2.59)1.28 (0.97–1.68)
 Three or more618291 (47.0)2.09 (1.77–2.47)1.48 (1.21–1.81)
 Not sure1633571 (34.9)1.26 (1.12–1.41)1.06 (0.93–1.21)
Sent to buy cigarettes for others<.001<.001
 Yes42981542 (35.8)11
 No55231784 (32.00)0.85 (0.78–0.92)0.81 (0.73–0.90)
Knowledge of harmful effects of smoking<.001<.001
 Good40231728 (27.5)11
 Poor58031600 (42.9)1.97 (1.81–2.15)1.65 (1.48–1.83)
Noticed tobacco advertisement in media.013.148
 No49761745 (35.07)11
 Yes48553231 (64.9)0.90 (0.82–0.97)0.92 (0.84–1.02)
Noticed point of sale tobacco advertisement<.001.032
 No82512662 (32.2)11
 Yes1580671 (42.4)1.54 (1.38–1.72)1.15 (1.01–1.32)
Offered a free cigarette by tobacco company sales agents<.001<.001
 Yes1275 (12.9)726 (56.9)11
 No8540 (87.0)2591 (30.3)0.32 (0.29–0.37)0.50(0.43–0.57)
Own anything with a tobacco brand/logo<.001<.001
 Yes1470 (15.0)763 (51.9)11
 No8332 (85.0)2552 (30.6)0.40 (0.36–0.45)0.76 (0.66–0.87)
Wear or use something with a tobacco brand<.001<.001
 Yes1098 (11.9)482 (43.9)11
 May be2938 (29.9)1227 (41.76)0.91 (0.79–1.05)1.03 (0.88–1.22)
 No5775 (58.8)1607 (27.8)0.49 (0.43–0.56)0.70 (0.59–0.82)
Difficult to quit once smoking is initiated<.001<.001
 No4140 (42.1)1065 (25.7)11
 Yes5691 (57.8)2268 (39.8)1.91 (1.75–2.08)2.01 (1.81–2.22)
Make people more comfortable in social gathering.002.424
 No6296 (64.0)1996 (31.7)11
 Yes1475 (15.0)670 (45.4)0.78 (0.70–0.88)0.93 (0.81–1.08)
 Don’t know2055 (20.9)662 (32.2)0.80 (0.71–0.90)0.88 (0.73–1.08)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001<.001
 No6376 (64.8)1456 (22.8)11
 Yes3455 (35.1)1877 (54.3)4.01 (3.67–4.39)3.35 (3.04–3.70)
Have more or less friends<.001<.001
 Less friends4728 (48.1)1303 (27.5)11
 More friends2188 (22.2)879 (40.1)0.56 (0.50–0.63)0.69 (0.60–0.78)
 No difference2898 (29.5)1136 (39.2)0.96 (0.85–1.07)0.85 (0.74–0.97)
Make people more or less attractive<.001<.001
 Less attractive5470 (55.6)1546 (28.2)11
 More attractive1756 (17.8)677 (38.5)0.62 (0.56–0.70)0.89 (0.78–1.02)
 No difference2597 (26.4)1104 (42.5)1.17 (1.04–1.33)1.29 (1.11–1.51)
Can improve general health status<.001<.001
 Yes943 (9.6)507 (53.7)11
 No6993 (71.1)2005 (28.6)0.34 (0.30–0.39)0.50 (0.43–0.59)
 Don’t know1888 (19.2)814 (43.1)0.65 (0.55–0.76)0.74 (0.61–0.89)
Can help to lose weight<.001<.001
 Yes4621 (47.0)1334 (28.8)11
 No3041 (30.9)1230 (40.4)1.67 (1.51–1.84)1.40 (1.25–1.58)
 Don’t know2164 (22.0)764 (35.3)1.34 (1.20–1.49)1.22 (1.06–1.41)
Can make people more relaxed<.001<.001
 Yes1850 (18.8)799 (43.1)11
 No5374 (54.6)1729 (32.1)0.62 (0.55–0.69)0.69 (0.61–0.79)
 I don’t know2602 (26.4)800 (30.7)0.58 (0.51–0.66)0.56 (0.48–0.66)
CharacteristicsTotal N = 9831Susceptible nonsmokers N = 3333Unadjusted ORp valueAdjusted ORp value
Gender.628.585
 Boys42011413 (33.6)11
 Girls56301920 (34.1)1.02 (0.93–1.11)1.02 (0.92–1.13)
Age group.541.280
 12–142167756 (34.8)11
 15–1750711702 (33.5)0.94 (0.84–1.04)0.97 (0.86–1.10)
 18–202593875 (33.7)0.95 (0.84–1.07)1.07 (0.92–1.23)
School funding<.001<.001
 Public73562410 (32.7)11
 Grant-aided1015460 (45.30)1.70 (1.48–1.94)1.59 (1.35–1.87)
 Private1460463 (31.70)0.95 (0.84–1.07)1.04 (0.90–1.20)
School locality.560.477
 Rural2335780 (33.4)11
 Urban74962553 (34.0)1.02 (0.93–1.13)1.04 (0.92–1.17)
Religion<.0011.004
 Muslim94633055 (33.3)10.99 (0.80–1.22)
 Christian561210 (37.4)1.19 (1.00–1.42)2.01(1.17–
 Other8860 (68.1)4.28 (2.72–6.72)3.46)
Living with parents.021.291
 Yes78732625 (33.3)11
 No1953705 (36.1)0.88 (0.79–098)1.06 (0.94–1.20)
Home smoking rules<.001.001
 No70432244 (31.8)11
 Sometimes1010430 (42.5)1.58 (1.38–1.81)1.33 (1.13–1.56)
 Yes1775658 (37.0)1.25 (1.13–1.40)0.98 (0.86–1.12)
Family smoking<.001<.001
 None71252128 (29.8)11
 Mother244154 (63.1)4.01 (3.08–5.23)2.56 (1.87–3.50)
 Father1110453 (40.8)1.61 (1.42–1.84)1.48 (1.26–1.74)
 Brother/Sister652294 (45.0)1.92 (1.63–2.26)1.91 (1.58–2.31)
 Others695301 (43.3)1.79 (1.53–2.10)1.50 (1.24–1.81)
Number of friends who smoke<.001<.001
 None66401981 (28.8)11
 One621342 (55.0)2.88 (2.44–3.40)1.62 (1.33–1.99)
 Two310145 (46.7)2.06 (1.64–2.59)1.28 (0.97–1.68)
 Three or more618291 (47.0)2.09 (1.77–2.47)1.48 (1.21–1.81)
 Not sure1633571 (34.9)1.26 (1.12–1.41)1.06 (0.93–1.21)
Sent to buy cigarettes for others<.001<.001
 Yes42981542 (35.8)11
 No55231784 (32.00)0.85 (0.78–0.92)0.81 (0.73–0.90)
Knowledge of harmful effects of smoking<.001<.001
 Good40231728 (27.5)11
 Poor58031600 (42.9)1.97 (1.81–2.15)1.65 (1.48–1.83)
Noticed tobacco advertisement in media.013.148
 No49761745 (35.07)11
 Yes48553231 (64.9)0.90 (0.82–0.97)0.92 (0.84–1.02)
Noticed point of sale tobacco advertisement<.001.032
 No82512662 (32.2)11
 Yes1580671 (42.4)1.54 (1.38–1.72)1.15 (1.01–1.32)
Offered a free cigarette by tobacco company sales agents<.001<.001
 Yes1275 (12.9)726 (56.9)11
 No8540 (87.0)2591 (30.3)0.32 (0.29–0.37)0.50(0.43–0.57)
Own anything with a tobacco brand/logo<.001<.001
 Yes1470 (15.0)763 (51.9)11
 No8332 (85.0)2552 (30.6)0.40 (0.36–0.45)0.76 (0.66–0.87)
Wear or use something with a tobacco brand<.001<.001
 Yes1098 (11.9)482 (43.9)11
 May be2938 (29.9)1227 (41.76)0.91 (0.79–1.05)1.03 (0.88–1.22)
 No5775 (58.8)1607 (27.8)0.49 (0.43–0.56)0.70 (0.59–0.82)
Difficult to quit once smoking is initiated<.001<.001
 No4140 (42.1)1065 (25.7)11
 Yes5691 (57.8)2268 (39.8)1.91 (1.75–2.08)2.01 (1.81–2.22)
Make people more comfortable in social gathering.002.424
 No6296 (64.0)1996 (31.7)11
 Yes1475 (15.0)670 (45.4)0.78 (0.70–0.88)0.93 (0.81–1.08)
 Don’t know2055 (20.9)662 (32.2)0.80 (0.71–0.90)0.88 (0.73–1.08)
Safe to smoke tobacco for only a year or two as long as you quit after that<.001<.001
 No6376 (64.8)1456 (22.8)11
 Yes3455 (35.1)1877 (54.3)4.01 (3.67–4.39)3.35 (3.04–3.70)
Have more or less friends<.001<.001
 Less friends4728 (48.1)1303 (27.5)11
 More friends2188 (22.2)879 (40.1)0.56 (0.50–0.63)0.69 (0.60–0.78)
 No difference2898 (29.5)1136 (39.2)0.96 (0.85–1.07)0.85 (0.74–0.97)
Make people more or less attractive<.001<.001
 Less attractive5470 (55.6)1546 (28.2)11
 More attractive1756 (17.8)677 (38.5)0.62 (0.56–0.70)0.89 (0.78–1.02)
 No difference2597 (26.4)1104 (42.5)1.17 (1.04–1.33)1.29 (1.11–1.51)
Can improve general health status<.001<.001
 Yes943 (9.6)507 (53.7)11
 No6993 (71.1)2005 (28.6)0.34 (0.30–0.39)0.50 (0.43–0.59)
 Don’t know1888 (19.2)814 (43.1)0.65 (0.55–0.76)0.74 (0.61–0.89)
Can help to lose weight<.001<.001
 Yes4621 (47.0)1334 (28.8)11
 No3041 (30.9)1230 (40.4)1.67 (1.51–1.84)1.40 (1.25–1.58)
 Don’t know2164 (22.0)764 (35.3)1.34 (1.20–1.49)1.22 (1.06–1.41)
Can make people more relaxed<.001<.001
 Yes1850 (18.8)799 (43.1)11
 No5374 (54.6)1729 (32.1)0.62 (0.55–0.69)0.69 (0.61–0.79)
 I don’t know2602 (26.4)800 (30.7)0.58 (0.51–0.66)0.56 (0.48–0.66)

Discussion

This is the first study to provide detailed data on smoking susceptibility and risk factors in a nationally representative sample of adolescent school students in The Gambia. We found that one in three students were susceptible to smoking. Susceptibility was more common among students attending grant-aided schools and non-Muslims. Young people in our sample were more likely to be susceptible to smoking if they had smoking allowed in their homes, had family or friends who smoked, were sent to purchase cigarettes for others, had poor knowledge of the harmful effect of smoking, and noticed tobacco at the point-of-sale. Additionally, positive attitudes, beliefs, and perceived benefits of smoking were significantly associated with susceptibility to smoking. Our study was cross sectional and has limited ability to attribute causality to smoking susceptibility. All estimates in our assessment were based on self-reports which might be affected by reporting bias. Also, although smoking susceptibility has been shown consistently to be a risk factor for smoking experimentation,7,17,18 its predictive value for sustained future smoking is limited. Given the number of variables included in the analysis, we acknowledge the possibility of type I error given the fact that included variables may be highly correlated. Our survey was conducted in schools and therefore may not be representative of Gambian youth as a whole. Data from the Ministry of Education indicate gross enrolment rates of 68.12% and 41.2% for UBS and SSS, respectively19; this suggests that our data are more representative for among younger age groups. However, doing surveys in schools is one of the most efficient ways to collect data among young people and our study has provided very useful data on a topic with very sparse information particularly in Sub-Saharan Africa.

Previous studies on smoking initiation among young people in The Gambia and in West Africa are limited. However, our finding that one in three students were susceptible to smoking initiation is consistent with work from other developing and developed countries.15,20 Moreover, young people in other countries in Africa at a similar stage of economic development to The Gambia are likely to be exposed to similar risk factors and we think it is likely that our findings will be generalizable to such countries. Given the validation of smoking susceptibility as a predictor of smoking experimentation,7,18 these findings suggest that smoking prevalence among young people is likely to rise in the near future in The Gambia. This is particularly important in many Sub-Saharan African countries with low current-smoking rates but at high risk of the smoking epidemic.

Our finding that susceptibility to smoking varies significantly between types of schools and that religious beliefs influence smoking susceptibility is consistent with existing evidence.6,15,20,21 The link between susceptibility to smoking with socio-cultural factors, and particularly religious faith and attending nonpublic schools is consistent with our previous findings12 that non-Muslim students attending grant-aided or private schools were more likely to be current smokers. We found that students who live in homes with only some smoking restrictions were more likely to be susceptible to smoking. This finding is in line with previous studies reporting that the absence of, or a partial ban on home smoking, are associated with an increased risk of smoking susceptibility22–24 and that partial home smoking bans have not been effective in preventing smoking initiation.23,25

In line with existing findings,13–15 we found that students who had parents or friends who smoked and had been sent to purchase cigarettes for their parents or other older adults were significantly more likely to be susceptible to smoking initiation. These characteristics appear to identify contact with others who smoke, and these findings indicate that efforts to minimize parents and peer smoking are needed. Students’ knowledge of the harmful effects of smoking as they relate to susceptibility to initiate smoking is well-documented.13,15,26 Our results provide further confirmation that having good knowledge about the harmful effects of smoking serves as a protective factor against susceptibility to initiate smoking and underscores the importance of education on the harmful effects of smoking.

The finding that awareness of point-of-sale tobacco advertising is associated with smoking susceptibility is consistent with previous studies in both developing and developed countries.27–30 Given that all forms of tobacco advertisements have been banned in The Gambia since 2003, our findings demonstrate worryingly high levels of exposure to tobacco advertisements, which may be a reflection of poor implementation of the Tobacco Advertisement Act. To reduce exposure to tobacco advertisements and promotion, the ban needs to be comprehensive.29,31 Advertisements were predominantly seen on television, movies, magazines, radio, and on the internet, which are available online and from broadcasters based within The Gambia and outside. It is possible that media advertisements within and outside the country are not adequately regulated and subjected to the advertisement ban.32,33

Although we did not find exposure to anti-tobacco media messages to be a significant predictor of susceptibility to smoking in our study, we found that more than half of all students did not hear or see any anti-tobacco media messages in the past 30 days preceding this study. This suggests that messages are insufficient and even available messages are not delivered effectively. This highlights the need for more mass media campaigns and it is also important that anti-smoking media messages are appropriately delivered without interference by tobacco companies.

Limited research is available to compare and explore young Gambians perspectives, attitudes and beliefs about smoking. However similar to previous findings elsewhere13,34, we found that students who had positive attitudes, beliefs, and perceived benefits of smoking were significantly susceptible to smoking. Preventive measures and efforts that particularly focus on various social and behavioral aspects are needed.

Conclusion

This study has shown that susceptibility to smoking is relatively high among students in The Gambia. To help minimize future smoking initiation among young people, intervention may need to be targeted particularly at parents and peers who smoke and raising students’ awareness of the harmful effects of smoking. This may help to reduce future smoking among students and provide the maximum benefit as a protective factor against smoking initiation. Our findings also suggest that there is a need to broaden the ban on tobacco advertising to explicitly include all forms of media and point-of-sale advertisements. In addition, strict enforcement of the ban on tobacco advertisements should be a high priority for policy makers.

Funding

This work was supported by the Medical Research Council [grant number MR/K023195/1], [RA08D9] through the UK Centre for Tobacco and Alcohol Studies (http://www.ukctas.net); and a scholarship funding from the Islamic Development Bank (IDB).

Ethical approval

This research project was reviewed and approved by The Gambia Government/Medical Research Council (MRC) Joint Ethics Committee in The Gambia and the Research Ethics Committee of the Faculty of Medicine and Health Sciences, University of Nottingham, UK.

Provenance and peer review: externally peer reviewed.

Declaration of Interests

None declared.

Acknowledgments

We thank all the students who participated and the teachers for helping in the coordination and also all the Regional Education Directors and the Ministry of Basic and Secondary Education. We profoundly recognize the contributions of the field workers and staff of the National Public Health Laboratory (NPHL). We also acknowledged the support of the Tobacco Control Unit of the Ministry of Health and Social Welfare. IJ contributed to study design, data collection, analysis, and drafting of manuscript; TL and JB contributed to study design and revision of manuscript.

References

1.

World Health Organization
.
Health Topics Tobacco
.
2017
. http://www.who.int/mediacentre/factsheets/fs339/en/. Accessed
July, 2017
.

2.

Ng
M
,
Freeman
MK
,
Fleming
TD
, et al.
Smoking prevalence and cigarette consumption in 187 countries, 1980-2012
.
JAMA
.
2014
;
311
(
2
):
183
192
.

4.

Ministry of Health & Welfare
.
The Gambia National Health Strategic Plan 2014–2020
.
2014
. http://mohgovgm/nhsp. Accessed January 2017.

5.

Choi
WS
,
Gilpin
EA
,
Farkas
AJ
,
Pierce
JP
.
Determining the probability of future smoking among adolescents
.
Addiction
.
2001
;
96
(
2
):
313
323
.

6.

Elders
MJ
,
Perry
CL
,
Eriksen
MP
,
Giovino
GA
.
The report of the Surgeon General: Preventing tobacco use among young people
.
Am J Public Health
.
1994
;
84
(
4
):
543
547
.

7.

Pierce
JP
,
Choi
WS
,
Gilpin
EA
,
Farkas
AJ
,
Merritt
RK
.
Validation of susceptibility as a predictor of which adolescents take up smoking in the United States
.
Health Psychol
.
1996
;
15
(
5
):
355
361
.

8.

Gritz
ER
,
Prokhorov
AV
,
Hudmon
KS
, et al.
Predictors of susceptibility to smoking and ever smoking: A longitudinal study in a triethnic sample of adolescents
.
Nicotine Tob Res
.
2003
;
5
(
4
):
493
506
.

9.

Yang
WS
,
Leatherdale
ST
,
Ahmed
R
.
Smoking susceptibility among never-smokers: Data from the 2006-07 National Youth Smoking Survey
.
Can J Public Health
.
2011
;
102
(
4
):
254
257
.

10.

Carvajal
SC
,
Wiatrek
DE
,
Evans
RI
,
Knee
CR
,
Nash
SG
.
Psychosocial determinants of the onset and escalation of smoking: Cross-sectional and prospective findings in multiethnic middle school samples
.
J Adolesc Health
.
2000
;
27
(
4
):
255
265
.

11.

Jackson
C
.
Cognitive susceptibility to smoking and initiation of smoking during childhood: A longitudinal study
.
Prev Med
.
1998
;
27
(
1
):
129
134
.

12.

Jallow
IK
,
Britton
J
,
Langley
T
.
Prevalence and determinants of tobacco use among young people in The Gambia
.
BMJ Glob Health
.
2017
;
2
(
4
):
e000482
.

13.

Aslam
SK
,
Zaheer
S
,
Rao
S
,
Shafique
K
.
Prevalence and determinants of susceptibility to cigarette smoking among school students in Pakistan: Secondary analysis of Global Youth Tobacco Survey
.
Subst Abuse Treat Prev Policy
.
2014
;
9
:
10
.

14.

Guindon
GE
,
Georgiades
K
,
Boyle
MH
.
Susceptibility to smoking among South East Asian youth: A multilevel analysis
.
Tob Control
.
2008
;
17
(
3
):
190
197
.

15.

Odukoya
OO
,
Odeyemi
KA
,
Oyeyemi
AS
,
Upadhyay
RP
.
Determinants of smoking initiation and susceptibility to future smoking among school-going adolescents in Lagos State, Nigeria
.
Asian Pac J Cancer Prev
.
2013
;
14
(
3
):
1747
1753
.

16.

Polańska
K
,
Wojtysiak
P
,
Bąk-Romaniszyn
L
,
Kaleta
D
.
Susceptibility to cigarette smoking among secondary and high school students from a socially disadvantaged rural area in Poland
.
Tob Induc Dis
.
2016
;
14
:
28
. doi:10.1186/s12971-016-0092-9

17.

Brener
ND
,
Kann
L
,
McManus
T
,
Kinchen
SA
,
Sundberg
EC
,
Ross
JG
.
Reliability of the 1999 youth risk behavior survey questionnaire
.
J Adolesc Health
.
2002
;
31
(
4
):
336
342
.

18.

Strong
DR
,
Hartman
SJ
,
Nodora
J
, et al.
Predictive validity of the expanded susceptibility to smoke index
.
Nicotine Tob Res
.
2015
;
17
(
7
):
862
869
.

19.

The Ministry of Basic and Secondary Education & Gambia National Commission for UNESCO
.
The Gambia National Education for All Review Report 2014
. http://unesdoc.unesco.org/images/0023/002314/231425e.pdf. (Accessed January 2018).

20.

Kaai
SC
,
Brown
KS
,
Leatherdale
ST
,
Manske
SR
,
Murnaghan
D
.
We do not smoke but some of us are more susceptible than others: A multilevel analysis of a sample of Canadian youth in grades 9 to 12
.
Addict Behav
.
2014
;
39
(
9
):
1329
1336
.

21.

Leatherdale
ST
,
Brown
KS
,
Cameron
R
,
McDonald
PW
.
Social modeling in the school environment, student characteristics, and smoking susceptibility: A multi-level analysis
.
J Adolesc Health
.
2005
;
37
(
4
):
330
336
.

22.

Ayo-Yusuf
OA
,
Rantao
MM
.
Influence of rural non-smoking adolescents’ sense of coherence and exposure to household smoking on their commitment to a smoke-free lifestyle
.
Int J Environ Res Public Health
.
2013
;
10
(
6
):
2427
2440
.

23.

Schultz
AS
,
Nowatzki
J
,
Dunn
DA
,
Griffith
EJ
.
Effects of socialization in the household on youth susceptibility to smoking: A secondary analysis of the 2004/05 Canadian Youth Smoking Survey
.
Chronic Dis Can
.
2010
;
30
(
3
):
71
77
.

24.

Wakefield
MA
,
Chaloupka
FJ
,
Kaufman
NJ
,
Orleans
CT
,
Barker
DC
,
Ruel
EE
.
Effect of restrictions on smoking at home, at school, and in public places on teenage smoking: Cross sectional study
.
BMJ (Clinical research ed)
.
2000
;
321
(
7257
):
333
337
.

25.

Martinez-Donate
AP
,
Johnson-Kozlow
M
,
Hovell
MF
,
Gonzalez Perez
GJ
.
Home smoking bans and secondhand smoke exposure in Mexico and the US
.
Prev Med
.
2009
;
48
(
3
):
207
212
.

26.

Ertas
N
.
Factors associated with stages of cigarette smoking among Turkish youth
.
Eur J Public Health
.
2007
;
17
(
2
):
155
161
.

27.

Robertson
L
,
McGee
R
,
Marsh
L
,
Hoek
J
.
A systematic review on the impact of point-of-sale tobacco promotion on smoking
.
Nicotine Tob Res
.
2015
;
17
(
1
):
2
17
.

28.

Bogdanovica
I
,
Szatkowski
L
,
McNeill
A
,
Spanopoulos
D
,
Britton
J
.
Exposure to point-of-sale displays and changes in susceptibility to smoking: Findings from a cohort study of school students
.
Addiction
.
2015
;
110
(
4
):
693
702
.

29.

Harris
F
,
MacKintosh
AM
,
Anderson
S
, et al.
Effects of the 2003 advertising/promotion ban in the United Kingdom on awareness of tobacco marketing: Findings from the International Tobacco Control (ITC) Four Country Survey
.
Tob Control
.
2006
;
15
(
Suppl 3
):
iii26
iii33
.

30.

Agaku
IT
,
Adisa
AO
,
Akinyamoju
AO
,
Agboola
SO
.
A cross-country comparison of the prevalence of exposure to tobacco advertisements among adolescents aged 13-15 years in 20 low and middle income countries
.
Tob Induc Dis
.
2013
;
11
(
1
):
11
.

31.

Saffer
H
,
Chaloupka
F
.
The effect of tobacco advertising bans on tobacco consumption
.
J Health Econ
.
2000
;
19
(
6
):
1117
1137
.

32.

Convention Secretariat
.
Needs Assessment for Implementation of the WHO Framework Convention on Tobacco Control in The Gambia
.
World Health Organization Framework Convention on Tobacco Control (WHO FCTC) Report
. Convention Secretariat WHO Framework Convention on Tobacco Control, Switzerland;
2012
.

33.

Owusu-Dabo
E
,
Lewis
S
,
McNeill
A
,
Gilmore
A
,
Britton
J
.
Support for smoke-free policy, and awareness of tobacco health effects and use of smoking cessation therapy in a developing country
.
BMC Public Health
.
2011
;
11
:
572
. doi:10.1186/1471-2458-11-572

34.

Wilkinson
AV
,
Waters
AJ
,
Vasudevan
V
,
Bondy
ML
,
Prokhorov
AV
,
Spitz
MR
.
Correlates of susceptibility to smoking among Mexican origin youth residing in Houston, Texas: A cross-sectional analysis
.
BMC Public Health
.
2008
;
8
:
337
. doi:10.1186/1471-2458-8-337

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