Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Brief Communication
Case Report
Case Series
Current Issue
Editorial
Editorial Note
FOREWORD
From the Editor's Desk
Letter to Editor
Letter to the Editor
Original Article
Original Research
Photoessay
Pictorial Review
Review Article
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Brief Communication
Case Report
Case Series
Current Issue
Editorial
Editorial Note
FOREWORD
From the Editor's Desk
Letter to Editor
Letter to the Editor
Original Article
Original Research
Photoessay
Pictorial Review
Review Article
View/Download PDF

Translate this page into:

Original Article
1 (
1
); 70-77
doi:
10.25259/FH_20230101_65

Awareness Regarding Cigarette Smoking Among Adult Cigarette Smokers in Bhaktapur, Nepal

Manmohan Memorial Institute of Health Sciences, Tribhuvan University, Soalteemode, Kathmandu, Nepal
TUTH, Kathmandu, Nepal
Tribhuvan University, KIST Medical College and Teaching Hospital, Imadol, Lalitpur, Nepal
National Academy of Medical Sciences, Kathmandu, Nepal

Corresponding Author: Dr. Surendra Kumar Acharya, M.D.S. Oral and Maxillofacial Surgery, Incharge and Lecturer, Tribhuvan University, KIST Medical College and Teaching Hospital, Imadol, Lalitpur, Nepal Email I'd: surendraacharya320@gmail.com Mobile number: +977 9842185152

Licence
This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Abstract

Introduction:

Cigarette smoking is a highly avoidable factor responsible for a substantial number of deaths and illnesses globally. With a death toll of eight million people worldwide, increasing awareness concerning the dangers of smoking is imperative. Educating people about the national policy against smoking in public places and its detrimental effects can reduce smoking-related health issues and fatalities. This study aimed to assess adult smokers' awareness levels regarding cigarette smoking.

Material and Methods:

A descriptive cross-sectional study was conducted to investigate adult cigarette smokers aged 20 to 59 years in Bhaktapur, Nepal. The study included a sample size of 92 participants, selected using a non-probability sampling technique. Data collection was done through face-to-face interviews using a structured questionnaire. The collected data was subjected to both descriptive and inferential analyses using Statistical Package for Social Science (SPSS) version 16.

Results:

Among the adult cigarette smokers surveyed, 55.4% of respondents demonstrated an adequate awareness of cigarette smoking. The respondents had sufficient awareness of the policies against and the detrimental effects of smoking on the respiratory and cardiovascular systems. However, the level of awareness was insufficient regarding the after-effects on the nervous system, reproductive system, and eye disorders. A significant association was found between the level of awareness and factors such as age (p=0.01), sex (p=0.00), education (p=0.00), occupation (p=0.01), and total average income (p=0.01).

Conclusion:

Sufficient awareness regarding the ill effects of smoking is still lacking. This highlights the need for increasing awareness regarding the health effects and policies about cigarette smoking, especially in the community setting.

Keywords

Adult Cigarette Smokers
Awareness
Cigarette Smoking
Nepal

Introduction

Smoking is one of the biggest public health threats the world has ever faced, killing more than eight million people a year around the world.1 A wide range of tobacco products is utilized in both smoking and smokeless forms. Smoking forms include cigarettes, bidis, hookah, sulfa, chillum, or kankad. On the other hand, smokeless tobacco products encompass surti leaves, khaini, gutkha, and paan with tobacco fillings. Amongst the users of different tobacco products, cigarettes emerge as the most prevalent choice.2 According to the American Lung Association, 13.7% of adults smoke cigarettes in the United States.3 From 1974 to 2018, there has been a notable shift in individuals smoking habits. In this period, the proportion of people smoking more than 15-24 cigarettes a day stands at 28%. Conversely, the proportion of people smoking fewer than 15 cigarettes a day has significantly increased, rising from 32% to 66%. This indicates a notable trend towards reduced smoking among the population over the years.3 In the United States, nearly 14 of every 100 adults (14%) currently smoke cigarettes.3 This means an estimated 34.1 million adults in the United States currently smoke cigarettes.3 Relatively, men exhibited a higher prevalence of cigarette smoking than women, about 15 of every 100 adult men (15.3%) and nearly 13 of every 100 adult women (12.7%) smoke cigarettes in united State.4 Around 30% of individuals aged 15 and above in India, comprising 47% men and 14% women, were either tobacco smokers or users. This equates to nearly 195 million people, with approximately 154 million men and 41 million women.5 The absolute number of male smokers has grown from 79 million in1998 to 108 million in 2015.6 Nepal Demographic and Health Survey (NDHS) 2016 revealed that 17% smoke daily and 11% smoke occasionally.7 The differences in smoking between males and females were reported to be 27.4% and 5.5% respectively.7 The economic impact of smoking is substantial, particularly in Nepal, where the estimated direct and indirect cost amounts to Nepalese Rupees (NPR) 47.2 billion annually.7 This represents a significant 1.8% of Nepal's Gross Domestic Product (GDP) being lost yearly due to smoking-related illnesses.7 These financial implications emphasize the urgent need to address smoking as a critical public health issue and implement effective strategies to curb its prevalence and reduce the associated economic burden on the country.8 In light of this, the researcher aims to conduct a study to explore the level of awareness of cigarette smoking among adult smokers. The study's primary objectives are to assess the overall awareness regarding cigarette smoking, to specifically gauge the level of awareness among adult cigarette smokers, and to examine any potential associations between cigarette smoking and socio-demographic variables.

Material and methods

A descriptive cross-sectional study assessed the awareness regarding cigarette smoking among adult smokers. The study focused on ward number six of Suryavinayak Municipality in Bhaktapur District, Nepal, which has a total area of 42 km2 and a population of 5,017 adults aged 20-59 years.9 Both the sex were included in the study. Individuals who smoke at least one cigarette per day were included in the study. Adults who consume other forms of tobacco products, such as bidi, hukka, etc., were excluded. A self-structured questionnaire of two parts was used to collect data. Part one covered socio-demographic characteristics, smoking-related variables, and sources of information. Part two focused on awareness related questions regarding cigarette smoking. A total of 18 questions, with 16 multiple-choice questions and two multiple response questions, were used to measure awareness. Each correct response was given one mark, and the incorrect response was given zero. The median score of awareness was 19, the Inadequate level of awareness was <19, the Adequate level of awareness was ≥19, the Minimum score was 11, and the maximum score was 23. Though the total number of questions was 18, two questions had multiple responses, so the maximum score was 23, and the minimum was 11. Content validity of the questionnaire was maintained by consulting various books and with a research guide, subject matter specialist, and literature review. The English version of the research tool was examined by consulting advisers, research teachers, and experts. It was translated into Nepali language and consulted with the language experts. The reliability of the questionnaire was maintained through pretesting on 10% of the total sample, i.e., nine respondents from ward number six of Suryavinayak Municipality. The necessary modification was made to the questionnaire as per the results and feedback. The questionnaire was validated by consulting various sources. Reliability was ensured through pretesting and necessary modifications. The researcher conducted face-to-face interviews using a self-developed questionnaire to collect data. Each interview lasted around 20 to 30 minutes, and approximately 6 to 7 were conducted daily for 14 days. Data was collected in public places like chautri (is a rest stop usually found along the foot trails of rural Nepal), parks, and religious places strictly adhering to COVID-19 safety measures and social distancing. Before commencing data collection, the researchers obtained approval from the research committee of Manmohan Memorial Institute of Health Sciences with IRC number MMIHS IRC 693 on 2022/05/24 and sought permission from the relevant authority in Suryavinayak Municipality. The study was conducted in the year 2022-2023 AD. Prior to data collection, informed consent was obtained from the respondents in Nepali language. Respondents were assigned code numbers to ensure confidentiality and informed that their names would not be mentioned in the questionnaire and that the data would only be used for educational purposes.

The sample size was calculated by using standard Cochrane's formula, n =z2pq/d2

Where, z=1.96, p=41%=0.41, q=1-p=1-0.41=0.59, d=0.1 Now, n0 = z2pq/d2 = [(1.96)2 *0.41*0.59]/ (0.1)2=92

Where, Z=level of confidence according to the standard normal distribution (for a level of confidence of 95%, p = estimated proportion of the population, d = Precision limit or proportion of sampling error, which is usually a 5% confidence limit.

After data collection, thorough checks were carried out to ensure accuracy and completeness. The data was organized for editing and coding purposes. The coded data was subjected to analysis using the Statistical Package for Social Science (SPSS) version 16 software. Descriptive statistics, including frequency and percentage, were used to analyze the data. Furthermore, inferential statistics such as the chi-square test and Fisher's exact test were employed to measure the association between the level of awareness regarding cigarette smoking and selected variables.

Results

The socio-demographic characteristics of the 92 respondents (male, n=79, female, n=13) are given in (Table 1) 69.6% were married. Around 81.5 % were literate. 26.1% were involved in business occupations. 44.6% had a monthly income below Nepalese Rupees 15,000. 37% of those surveyed acknowledged smoking 11-20 cigarettes per day. 78.3% had family members who were also cigarette smokers. All participants reported involvement with peers who smoked cigarettes. 66.3% indicated a smoking duration exceeding 10 years (Table 2). Mass media was the most reported source of information (Table 3). 96.7% (n=89) of participants reported that cigarette smoking exclusively involves smoking cigarettes. The majority of people (82.6%) knew nicotine as the primary component. Psychological stress was the most common reason for smoking (n=86) (Table 4). Awareness of the health effects of smoking on various systems or organs, such as the respiratory system, reproductive systems, brain, heart, eyes, and cancer incidence and pregnancy, is enumerated in (Table 5). Awareness regarding the policy against and on quitting cigarette smoking are given in (Table 6 and 7). Significant association was found between level of awareness and factors such as age (p=0.01), sex (p=0.00), education (p=0.00), occupation (p=0.01), and total average income (p=0.01) (Table 8).

Table 1: Socio-demographic characteristics of respondents (n= 92)
Variables Frequency (Percentage)
Age Group
20-39 years 54 (58.7%)
40-59 years 38 (41.3%)
Sex
Male 79 (85.9%)
Female 13 (14.1%)
Marital status
Married 64 (69.6%)
Unmarried 16 (17.4%)
Divorced 02 (2.2%)
Singlehood (living alone after spouse's death) 10 (10.9%)
Education
Illiterate 17 (18.5%)
Primary level 15 (16.3%)
Secondary level 30 (32.6%)
Higher education level 30 (32.6%)
Occupation
Agriculture 18 (19.6%)
Household work 01 (1.1%)
Service 23 (25.0%)
Business 24 (26.1%)
Labor 16 (17.4%)
Student 10 (10.9%)
Average monthly income
Less than Rs.15,000 41 (44.6%)
Rs.15,000-25,000 39 (42.4%)
Rs.25,000-35,000 12 (13%)
More than Rs.35,000 0 (0%)
Table 2: Respondent's smoking-related variables (n=92)
Variables Frequency
(Percentage)
Sticks of cigarette smoked per day
1-10 12 (13%)
11-20 34 (37%)
21-30 33 (35.9%)
>31 13 (14.1%)
Family history of cigarette smoking
Yes 72 (78.3%)
No 20 (21.7%)
If yes (n=72) **
Grandfather 11 (15.1%)
Grandmother 0 (0%)
Father 46 (53.7%)
Mother 8 (9.7%)
Siblings 34 (38.1%)
Husband 11 (12%)
Wife 0 (0%)
Yes 92 (100%)
No 0 (0%)
Duration of cigarette smoking
<1 year 01 (1.1%)
1-5 years 15 (16.3%)
6-10 years 15 (16.3%)
>10 years 61 (66.3%)
Place to smoke cigarette**
Home 77 (83.7%)
Workplace 73 (79.3%)
Social events 78 (84.8%)
Public places 51 (55.4%)

** Multiple response

Table 3: Sources of Information regarding Cigarette Smoking (n=92)
Sources of information** Frequency
(Percentage)
Family and relatives Friends 51 (55.4)
Books and magazines 39 (42.4)
Mass media 61 (66.3)
Internet 88 (66.3)
Health personnel 50(54.3)
24 (26.1)

** Multiple responses

Table 4: Awareness on Meaning, Major Content, Influencing Factors, Addiction of Cigarette Smoking (n= 92)
Variables Frequency
(Percentage)
Meaning of cigarette smoking
Smoking cigarette only * 89 (96.7%)
Smoking cigarette + bidi 02 (2.2%)
Smoking cigarette +khaini 01 (1.1%)
Smoking cigarette + hukka 0 (0%)
Major content of cigarette
Nicotine * 76 (82.6%)
Caffeine 16 (17.4%)
Cannabis 0 (0%)
Marijuana 0 (0%)
Influencing factors**
Family influence 28 (30.4%)
Peer pressure 68 (73.9%)
Psychological stress 86 (93.5%)
Source of enjoyment 78 (84.8%)
Addiction
Yes * 88 (95.7%)
No 04 (4.3%)

**Multiple response * Correct answer

Table 5: Awareness on Health Effects of Cigarette Smoking (n= 92)
Variables Frequency (Percentage)
Respiratory diseases
COPD * 84 (91 3%)
Pneumonia 08 (8.7%)
Common cold 0 (0%)
Diphtheria 0 (0%)
Common cancer
Bowel cancer 0 (0%)
Oral cancer 32 (38.4%)
Stomach cancer 0 (0%)
Lung cancer * 60 (65.2%)
Heart problems
Increased blood pressure * 57 (62%)
Increased heart rate 16 (17.4%)
Palpitation 19 (20.7%)
Orthostatic hypotension 0 (0%)
Neurological effects
Seizure 04 (4.3%)
Hydrocephalus 04 (4.3%)
Brain tumor 41 (44.6%)
Stroke * 43 (46.7%)
Effects on the reproductive system
Reduced fertility * 33 (35.9%)
Enlarged prostate 27 (29.3%)
Irregular menstruation 14 (15.2%)
Breast cancer 18 (19.6%)
Ocular disease
Short sightedness 09 (9.8%)
Long sightedness 04 (4.3%)
Eye infections 42 (45.7%)
Blindness * 37 (40.2%)
Effects in pregnancy
Low birth weight baby * 33 (35.9%)
Large baby 06 (6.5%)
Conjoined twins 08 (8.7%)
Post term pregnancy 45 (48.9%)

*Correct answer, COPD=chronic obstructive pulmonary disease

Table 6: Awareness on Policy of Cigarette Smoking (n= 92)
Variables Frequency (Percentage)
The policy included in Tobacco Control and Regulation Bill
Prohibition of advertisement of cigarette products * 69 (75%)
Prohibition of consumption of cigarette smoking 11 (12%)
Prohibition of the sale of cigarette products 12 (13%)
Prohibition of increment in price of cigarette products 0 (0%)
Prohibition in public places **
Hospital 90 (97.8%)
Restaurant 34 (37.0%)
Public transport 82 (89.1%)
School area 92 (100%)
Park 39 (42.4%)
Punishment for cigarette smoking in public places
One week of imprisonment 08 (8.7%)
Rs.500 as penalty 25 (27.2%)
Rs.100-Rs.1,00,000 as penalty * 27 (29.3%)
No any punishment 32 (34.8%)
Prohibition of cigarette sale
Pregnant women and children below 18 years * 75 (81.5%)
Unmarried women and children below 20 years 0 (0%)
Multiparous women and children below 16 years 0 (0%)
Postpartum mothers and children below 15 years 17(18.5%)
Pictorial on an outer package of cigarette
Pictorial health warning * 85 (92.4%)
Pictorial cigarette 05 (5.4%)
Pictorial chemicals of cigarette 02 (2.2%)
Pictorial smoke emitted by cigarette 0 (0%)

** Multiple response * Correct answer

Table 7: Awareness on Quitting Cigarette Smoking (n=92)
Variables Frequency (Percentage)
Measures to quit cigarette smoking
Use of relaxation techniques such as meditation, yoga etc. * 39 (42.5%)
Use of e-cigarettes 31 (33.7%)
Use of nicotine replacement therapy: chewing gums 18 (19.6%)
Use of other tobacco products such as hookah, bidi etc. 4 (4.3%)
Consultation to quit cigarette smoking
Traditional healers 0 (0%)
Health professionals * 92 (100%)
Smoker friends 0 (0%)
People who use other tobacco products such as: hukka, bidi etc. 0 (0%)
Respondents' Level of Awareness on Cigarette Smoking (n=92)
Level of Awareness Frequency (Percentage)
Inadequate(<19) Adequate (>19) Median value: 19 41 (44.6%)
51 (545.4%)
Table 8: Association of Level of Awareness on Cigarette Smoking with Socio-demographic Variables (n= 92) Variables: Level of Awareness
Variables Inadequate (n) Adequate(n) Chi-Square value P value
Age
20-39 years 18(33.3) 36(66.7) 6.7 0.01
40-59 years 23(60.5) 15(39.5)
Sex
Male 28(35.4) 51(64.6) 18.8 0.00F
Female 13(100.0) -
Marriage
Married 26(40.6) 38(59.4) 1.3 0.3
Unmarried/Divorced/ 15(53.6) 13(46.4)
Singlehood
Education
Illiterate 17(100.0) - 25.9 0.00F
Literate 24(32.0) 51(68.0)
Occupation
Business/Service 9(19.1) 38(80.9) 25.1 0.01
Others (Agriculture/Household work/Labor/Student) 32(71.1) 13(28.9)
Average monthly income
≤Rs.15,000 32(78.0) 9(22.0) 33.6 0.01
>Rs.15,000 9(17.6) 42(82.4)

P value <0.05= Significant association, F=Fisher's exact test

Discussion

Data collection was done through face-to-face interviews with the respondents using a self-developed semi-structured questionnaire. The study included 92 adult participants, aiming to evaluate the awareness regarding cigarette smoking among cigarette smokers in Bhaktapur. The study revealed that 55.4% had sufficient awareness of cigarette smoking according to a study by Kankaria et al (60.2%).10 44.6% had insufficient awareness. The present study revealed that 96.7% were aware of the meaning of cigarette smoking.

The percentage was similar to Chezhian et al., indicated (91.4%)awareness of the meaning of cigarette smoking.11 82.6% of respondents were aware of the major content of cigarettes. A similar study was done by Brewer et al. in the United States, which reported 95% awareness regarding the e major content of cigarette smoking.12

In regards to the influencing factors of cigarette smoking, 93.5% reported psychological stress. However, the present findings contradict with research conducted by Chezhian et al., where 42% reported psychological stress as the influencing factor for cigarette smoking.11 This disparity in findings could be attributed to the included participants' illiteracy and low monthly income. 95.7% of participants acknowledged that cigarette smoking causes addiction, the same as Trofor et al., who reported 87%.13 91.3% of the respondents were aware of COPD as a health effect of cigarette smoking in the respiratory system, similar to findings by Trofor et al., (79.5%).13 65.2% of participants knew that smoking is the most common cause of lung cancer, while Haghighi et al., reported higher percentages(80.6%)14 This might be due to variation of the sample population (92 in the present study and 386 in the latter study).

In terms of the health effects of cigarette smoking on the heart, 62% knew that cigarette smoking increases blood pressure. Comparable percentages (71.7%) were reported in the study done by Trofor et al., Likewise, the present study reported that 46.7% of the respondents were aware that cigarette smoking causes stroke. It contradicts the finding of a study done by Haghighi et al., where 87.8 %were aware that cigarette smoking increases blood pressure.14The current results showed that 35.9% were aware of decreased fertility, which differs from Dawood et al., survey in Iran, which reported higher percentages (52.6%).15 The reasons for such disparity could be due to illiteracy and limited sample size. Regarding ocular disorder, 40.2% were aware of blindness, which is supported by a study conducted by Trofor et al., indicating 34.7%.13 In concern with health effects due to cigarette smoking in pregnancy, 35.9% replied low birth weight baby, which contradicts the findings by Dawood et al study which reported higher percentages (76.4%). The higher values could be due to the nature of the population being surveyed as it included medical students in Lagos, Nigeria by Dania Mg et al.16

All the participants were aware that cigarette smoking is prohibited in school areas. Whereas, the research conducted by Abu Shomar et al., in Gaza, Palestine, only 30.5% knew that cigarette smoking is prohibited in public places like school areas, hospitals, public transport, parks, and restaurants.17 The reason could be the presence of adequate warning boards against smoking near schools and strict regulations in Nepal. In the present study, only 29.3% were apprised of the punishment of (Nepalese Rupees) NpR 100-100,000 for smoking cigarettes in public places, which is supported by Dahal et al (20%).18 In 81.5% were aware of the prohibition of cigarette sales, similar to the study by Sharma et al., which depicted 83.7 %.19

Although most knew the pictorial warnings in the packaging (92.4%) and the prohibition of advertisements regarding cigarette products (75%), the percentage of adult smokers was still high. The percentages are similar to Khatri et al., which reported 79.7% awareness regarding prohibition.20 Less than half of the population (42%) were aware of relaxation techniques that can help to quit smoking. contradicts the result of research conducted among medical students by Gnanakshi et al., indicating 68.8% awareness about factors to quit cigarette smoking.21 This highlights the need for mental health education and the requirement of stress-relieving activities for the public population.

The present study revealed a significant association between age, sex, education, occupation, average monthly income, and the level of awareness of cigarette smoking. There was no significant association between marriage and the level of awareness of cigarette smoking. Similar findings were reported by Ozoh et al.22 The research conducted in Lekhnath, Kaski, Nepal showed a similar result, which showed a statistically significant association between age, sex, education, and the level of awareness of cigarette smoking.21

Conclusion

The current study concluded that 54.4 %of participants showed adequate awareness about cigarette smoking, but they lacked awareness about certain health effects of smoking, such as stroke, reduced fertility, blindness, low birth weight, smoking penalties in public places, and measures to quit smoking. There is a significant association between the level of awareness of cigarette smoking and age (p=0.01), sex (p=0.01), education (p=0.00), occupation (p=0.01), and total average income (p=0.01). Repeated awareness can prevent many smoking-related detrimental health effects. A focused public health awareness program, especially emphasizing the health effects, policies, and smoking cessation methods, is the need of the hour. The current study's limitation lies in its small sample size from a district and non-probability sampling. There is a need for a multicenter study involving a large sample size to validate the current result for the general population.

Conflict of Interest

None

Financial Support

None

References

  1. . Tobacco. https://www.who.int/news-room/fact-sheets/detail/tobacco. Published 2022. (accessed )
    [Google Scholar]
  2. . Tobacco in Nepal the current context. https://www.smokefreeworld.org/wpcontent/uploads/2021/12/NepalCountryReport_12.03.21.pdf. Published November 2021. (accessed )
    [Google Scholar]
  3. . Overall tobacco trends. https://www.lung.org/research/trends-in-lung-disease/tobacco-trends-brief/overall-tobacco-trends. Published 2018. (accessed )
    [Google Scholar]
  4. . Burden of cigarette use in the United States, 2020. Centre for disease control and prevention. US department of health and human resources 2020
    [Google Scholar]
  5. , , , , . Tobacco use in India: prevalence and predictors of smoking and chewing in a national cross sectional household survey. . 2003;12(4):e4. http://dx.doi.org/10.1136/tc.12.4.e4
    [CrossRef] [PubMed] [Google Scholar]
  6. . Nepal demographics health survey. https://www.dhsprogram.com/pubs/pdf/fr336/fr336.pdLPublished 2016 (accessed )
    [Google Scholar]
  7. . World No Tobacco Day. https://www.who.int/nepal/news/detail/31-05-2021-world-no-tobacco-day-2021-remarks-by-who-representative-to-nepal. Published 2012. (accessed )
    [Google Scholar]
  8. . National population and housing census. https://censusnepal.cbs.gov.np/results/population?province=3&district=29&municipality=2. Published November 11,2021. (accessed )
    [Google Scholar]
  9. , , . Awareness regarding the adverse effect of tobacco among adults in India: findings from secondary data analysis of Global Adult Tobacco Survey. BMJ open. 2021;11(6):e044209. doi.org/10.1136/bmjopen-2020-044209
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , , . Exploring factors that influence smoking initiation and cessation among current smokers. Journal of clinical and diagnostic research: JCDR. 2015;9(5):LC08-LC12. doi: 10.7860/JCDR/2015/12047.5917
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , . Public understanding of cigarette smoke constituents: three US surveys. Tobacco control. 2017;26(5):592-9. http://dx.doi.org/10.1136/tobaccocontrol-2015-052897
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , , . Knowledge of the health risks of smoking and impact of cigarette warning labels among tobacco users in six European countries: Findings from the EUREST-PLUS ITC Europe Surveys. Tobacco induced diseases. 2018;16 doi: 10.18332/tid/99542
    [CrossRef] [Google Scholar]
  13. , , , . Knowledge and attitude towards stroke risk factors, warning symptoms and treatment in an Iranian population. Medical Principles and Practice. 2010;19(6):468-72. https://doi.org/10.1159/000320306
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , . Knowledge and perception about health risks of cigarette smoking among Iraqi smokers. J Pharm Bioallied Sci. 2016;8(2):146-151. doi: 10.4103/0975-7406.171738
    [CrossRef] [PubMed] [Google Scholar]
  15. , , . Smoking habits, awareness of risks, and attitude towards tobacco control policies among medical students in Lagos, Nigeria. Annals of African medicine. 2015;14(1):1-7. doi: 10.4103/1596-3519.148701
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , . Smoking, Awareness of Smoking-associated Health Risks, and Knowledge of National Tobacco Legislation in Gaza, Palestine. Cent Eur J Public Health. 2014;22(2):80-89. https://fada.birzeit.edu/bitstream/20.500.11889/2561/1/31-7.pdf
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , . College student's knowledge and attitude towards new regulation on smoking ban in public places in Nepal. Health Prospect: Journal of Public Health. 2015;14(2):13-7. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=e9493c852252d9da491a1d0139064bdd0512bed5
    [CrossRef] [Google Scholar]
  18. , , . Awareness, attitude and perceived barriers regarding implementation of the Cigarettes and other Tobacco Products Act in Assam, India. Indian journal of cancer. 2010;47(Suppl 1):S63-8. doi: 10.4103/0019-509X.63874
    [CrossRef] [PubMed] [Google Scholar]
  19. , , . Tobacco use among rural Nepalese women: cross-sectional community based study. Indian Journal of Cancer. 2015;52(4):699-704. doi: 10.4103/0019-509X.178412
    [CrossRef] [PubMed] [Google Scholar]
  20. , , . Knowledge and attitude on ill effects of smoking among adults residing in Lekhnath, Kaski, Nepal. Indian Journal of Community Health. 2014;26(3):308-10. https://iapsmupuk.org/journal/index.php/IJCH/article/view/428
    [Google Scholar]
  21. , , , , . The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria. Afr Health Sci. 2017;17(3):886.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections