Prevalence and Factors Associated with Current Smoking Among Medical Students in Coastal South India

Kumar, Sunil; Subba, Sonu Hangma; Unnikrishnan, B; Jain, Animesh; Badiger, Sanjeev

doi:10.3126/kumj.v9i4.6335

Cited by 15 publications

(7 citation statements)

References 11 publications

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“…6 In contract, the mean age of initiation of smoking was lower in Canada (14.8 years) and higher in India (21.1 years). 23,25 A study conducted in Bangladesh in similar setting revealed that they started smoking at the age of 16 years which supports our study. 34 The minimum and maximum age of starting age of smokers was 10 years and 19 years respectively.…”

Section: Discussionsupporting

confidence: 87%

“…6,[20][21][22] The smoking status is closer to the studies done among college students in different countries where cigarettes smokers was 22.4%, 19% and 20%. [23][24][25] The prevalence of smoker of 23.3% is higher than those reported in other college students' studies which had the prevalence of 37.7% and 38.4%. 26,27 A study conducted by Global Health Professional Survey, Nepal in 2006 showed that 40 to 64 percentage of the participants had used tobacco during their lifetime.…”

Section: Discussionmentioning

confidence: 53%

“…Similar results were found in the study done in Nepal, China and India. 5,[27][28][29][30] Tobacco smoking by the parents exerts a strong influence over the smoking behavior of their children and this fact should be highlighted in the tobacco control and prevention activities targeted towards the youth.…”

Section: Discussionmentioning

confidence: 99%

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Prevalence and Associated Factors of Tobacco Smoking in Jumla, Nepal

Panta,

Neupane,

Amgain

et al. 2024

J. KIST Med. Col

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Introduction: Globally, tobacco consumption is a major risk factor for mortality with an estimated five million deaths every year. Mortality due to cardiovascular diseases, cancer and respiratory conditions are the main cause of smoking. The rate of becoming smoker of teenagers increase day by day and 33% of them are believed to die due to consumption of tobacco. Almost 90% of them start smoking before the age of eighteen. The objective of this research is to study the prevalence, associated factors and behavior of cigarette smoking. Methods: A descriptive cross-sectional study design was used to find the prevalence of smoking and other associated factors. A sample of 345 students were recruited purposively from the selected school and a self administered questionnaire were used to collect the data in 2020 using WHO step survey. Data were entered in EPI data and Univariate and bivariate analysis was done using SPSS16. Logistic regression was used to find the associated factors. P value less than 0.05 was considered as statistical significant. Results: Among 318 students, 65% were male. The average age of the students was 18.03±1.65 years with the range of 15 to 25 years. The prevalence of smoking was estimated 23.3% (male=31.9% and female = 7.2%). The mean age of initiation of smoking was 16.5 years. Presence of parental smoking and smoking status was significantly associated (P < 0.05). Alcoholic habit was the predictor of smoking (p<0.05). Peer pressure (83.7%), exam load (55.8%), frustration (51.2%) family environment (43%), advertisement (34.9%), pleasure (26.7%) and curiosity (22.1%) were the main reason of starting smoking. They had the knowledge of harmful effects of smoking i.e. cause cancer (91.8%), chronic bronchitis (65.70%), laryngeal cancer (42.10%), heart disease (34.3%). Conclusion: The prevalence of smoking was remarkably high in college students. Thus, it is important to address this preventable problem.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 53%

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Prevalence and Associated Factors of Tobacco Smoking in Jumla, Nepal

Panta,

Neupane,

Amgain

et al. 2024

J. KIST Med. Col

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“…Concerns about damage to their health because of smoking leading to intention to quit have been reported by other studies from India and China. [ 19 25 26 27 ] Money concerns have been reported by many tobacco users, but Panda et al . reported negative association between price of tobacco and intention to quit.…”

Section: Discussionmentioning

confidence: 99%

Predictors of intention to quit tobacco among construction site workers in Delhi, India

Parashar

Singh

Agarwalla

et al. 2017

Indian J Psychiatry

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Background:Information on predictors of quitting behavior among construction site tobacco users is scarce in India. Hence, this study was conducted to assess the intention of tobacco users toward quitting and its predictors with reference to sociodemographic profile.Methodology:A community-based, observational study was conducted on adult 172 construction site workers in a university campus of Delhi. Data were collected by an interview using the WHO-adopted, pretested, semi-structured questionnaire. Chi-square test was used for univariate analysis. Pearson's correlation coefficient and multivariate logistic regression model were used to identify the predictors.Results:Of the 172 users, 73% had intention to quit. More than half of smokers (56.5%) and 81% of smokeless tobacco users intended to quit. Majority of the tobacco users who intended to quit were literate (75.0%), started tobacco use >15 years of age (75.4%), occasional tobacco users (78.9%), and less dependent on nicotine (74.4%).Conclusions:Suitable plan for quitting keeping in mind this vulnerable group of workers should be developed depending on the literacy, type of tobacco used, and nicotine dependency.

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“…Peer pressure is the commonly identified risk factor among the interpersonal level risk factors influencing tobacco use [18,19,21,22,25]. Tobacco use by family members and exposure to second-hand smoke at home are also important interpersonal-level risk factors identified [18,20,21,24,25]. One study reported that family problems are another risk factor influencing individuals' engagement in tobacco use [22].…”

Section: Interpersonal Levelmentioning

confidence: 99%

A Systematic Review of the Risk and Protective Factors of Tobacco Use among South Indian Adults

Daniel¹,

Rajkumar²,

George³

et al. 2022

TOPHJ

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Background: India is facing a crucial health burden with the incremental rise in tobacco use prevalence and associated diseases. Tobacco use behaviour is largely influenced by socio-cultural factors. Hence, documenting the risk and protective factors associated with tobacco use among the South Indian population helps in developing context-based interventions and policies to reduce tobacco-related issues. Objective: This systematic review aims to synthesise the available literature evidence on the risk factors contributing to the use of tobacco and the protective factors which safeguard against this health risk behaviour among South Indian adults. Methods: The primary author conducted a PRISMA-compliant systematic search using five databases: PubMed, Scopus, Web of Science, Wiley Online Library, and Science Direct from the inception to June 23, 2021. To find pertinent publications, a manual search was also done in Google Scholar. 13 articles that met the review's inclusion criteria were selected from the 5063 articles that were initially found after a thorough screening process and suitable quality assessment. According to the socio-ecological model, the risk and protective factors discovered during the review were divided into five levels: intrapersonal, interpersonal, organisational, community, and public. Resultts: From the included studies the major risk factors found were stress, low perceived health effect, low income, peer influence, nature of the occupation, lack of awareness about health effects due to community marginalization, community misconception of positive aspects of tobacco use and ease of availability in the market. The major protective factors identified were: awareness, perceived harm to social image, familial support, community-based health education, exposure to tobacco warning labels and government initiatives of tobacco control. Conclusion: The multi-level factors identified from the current review findings reveal the need for population and context-specific interventions and tobacco control policies to be developed in the near future. Interventions tailored to address the risk factors and strengthen the protective factors identified would benefit the South Indian community in tackling this health burden.

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Prevalence and Factors Associated with Current Smoking Among Medical Students in Coastal South India

Abstract: Background

Cited by 15 publications

References 11 publications

Prevalence and Associated Factors of Tobacco Smoking in Jumla, Nepal

Prevalence and Associated Factors of Tobacco Smoking in Jumla, Nepal

Predictors of intention to quit tobacco among construction site workers in Delhi, India

A Systematic Review of the Risk and Protective Factors of Tobacco Use among South Indian Adults

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