Dataset Information

Puff or pass: do social media and social interactions influence smoking behaviour of university students? A cross-sectional mixed methods study from Dhaka, Bangladesh.

ABSTRACT: OBJECTIVE:To determine whether the odds of being a smoker differ based on social media use and social interactions among urban university students in Bangladesh. HYPOTHESIS:Social media use and social interactions influence the smoking behaviour of Bangladeshi university students, particularly in starting and maintaining cigarette smoking. DESIGN AND SETTING:A cross-sectional study using mixed methods on 600 student smokers and non-smokers recruited from two public and two private universities in Dhaka, Bangladesh, a lower middle-income country with limited resources. Exclusion criteria were those who did not use any form of social media and PhD students. RESULTS:Odds of smoking were significantly higher for those who socialised more than 4?hours/day (p<0.05; OR 1.75; 95% CI 1.12 to 2.75) and typically at night (p<0.05; OR 2.80; 95% CI 1.95 to 4.00). Odds of smoking were also higher for those who liked (p<0.05; OR 4.85; 95% CI 3.32 to 7.11), shared (p<0.05; OR 20.50; 95% CI 13.02 to 32.26) and followed (p<0.05; OR 2.88; 95% CI 1.36 to 6.11) tobacco-related content on social media. Qualitative analysis resulted in emergent themes of smokers imitating tobacco-related photos or videos seen on social media and peers as an influence for smoking initiation. CONCLUSION:This study suggests social media and social interactions may influence smoking behaviour in university students in Dhaka, Bangladesh. Future research should continue to investigate the roles social media and social interaction have on smoking in order to explore social media-based smoking cessation interventions or dissemination of smoking health hazards through social media.

SUBMITTER: Roby NU

PROVIDER: S-EPMC7640515 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Puff or pass: do social media and social interactions influence smoking behaviour of university students? A cross-sectional mixed methods study from Dhaka, Bangladesh.

Roby Naym Uddin NU Hasan M Tasdik MT Hossain Sahadat S Christopher Enryka E Ahmed Md Kapil MK Chowdhury Ariful Bari AB Hasan Shahriar S Ashraf Fatema F

BMJ open 20201103 11

<h4>Objective</h4>To determine whether the odds of being a smoker differ based on social media use and social interactions among urban university students in Bangladesh.<h4>Hypothesis</h4>Social media use and social interactions influence the smoking behaviour of Bangladeshi university students, particularly in starting and maintaining cigarette smoking.<h4>Design and setting</h4>A cross-sectional study using mixed methods on 600 student smokers and non-smokers recruited from two public and two ...[more]

PMID: 33148734

Similar Datasets

Project description:While the public sector authorities and governments struggle to ensure socioeconomic balance at all levels of society, social entrepreneurship is widely known as the optimum solution to societal issues, such as unemployment, social disparities, and ecological imbalances. Despite the fact that the younger generation holds the highest potential to be future social entrepreneurs, a few studies have been conducted to explore the factors that influence their social entrepreneurial intentions (SEI) in developing countries, such as Bangladesh. Furthermore, the empirical studies based on the value-belief-norm (VBN) theory for addressing SEI were scarce in the existing literature. The study aims to measure the influence of Altruistic Values (AV), Traditional Values (TV), Personal Normative Beliefs (NB), Awareness of Consequences (AC), Ascription of Responsibility (AR), Personal Norms (PN), and Social Norms (SN) on SEI implementation of the VBN framework. A combination of web-based and hardcopy surveys was used to collect data from 797 students of higher educational institutes in Bangladesh. The hypotheses and associations between the factors were statistically analysed using structural equation modelling. As a result, it was demonstrated that AV and TV had a notable influence on NB. Similarly, NB showed a significant positive impact on PN and AC, while AC and AR were reported to have a substantial influence on PN. Finally, PN and SN showed a strong impact on SEI. The holistic social entrepreneurship model proposed in this study should be effective for socioeconomic development by incorporating commercially feasible and sustainable principles. Overall, the study findings would assist researchers, current social entrepreneurs and organisations, educational institutes, government agencies, and individual potential entrepreneurs with accurate knowledge and insight to construct their strategies and efficiently pursue social ventures.Supplementary informationThe online version contains supplementary material available at 10.1007/s12144-022-04119-2.

Project description:BackgroundPrior to the COVID-19 pandemic, cannabis use social practices often involved sharing prepared cannabis (joints/blunts/cigarettes) and cannabis-related paraphernalia. Previous studies have demonstrated that sharing paraphernalia for cannabis, tobacco, and crack cocaine is a risk factor for respiratory viral and bacterial infections. Although COVID-19 is a respiratory viral infection that spreads through droplets and airborne transmission, it is unclear if many individuals adopted harm reduction practices around sharing cannabis. This study: quantifies the prevalence of sharing prepared non-medical cannabis and cannabis-related paraphernalia reported before and during the pandemic; assesses changes in sharing of non-medical cannabis from before to during the pandemic; assess the association between frequency of non-medical cannabis use and sharing of cannabis during the pandemic; and describes how respondents obtained their cannabis and the reasons for changing their cannabis use during the pandemic to explain differences in sharing patterns.MethodsThis cross-sectional study used data collected from an anonymous, US-based web survey on cannabis-related behaviors from August to September 2020 (n = 1833). Participants were included if they reported using a mode of inhalation for non-medical cannabis consumption. We calculated proportional changes in sharing cannabis before/during the COVID-19 pandemic. Associations between frequency of cannabis use and cannabis sharing during the COVID-19 pandemic were assessed using logistic regression analysis.ResultsOverall, 1,112 participants reported non-medical cannabis use; 925 (83.2%) reported a mode of cannabis inhalation. More respondents reported no sharing during (24.9%) than before the pandemic (12.4%; p < 0.01); less respondents shared most of the time (19.5% before; 11.2% during; p < 0.01) and always during the pandemic (5.2% before; 3.1% during; p < 0.01). After adjusting for covariates, the odds of any sharing during the pandemic for those who reported ≥ weekly cannabis use was 0.53 (95% CI 0.38, 0.75) compared to those who reported ≤ monthly.ConclusionsSharing of prepared cannabis and cannabis-related paraphernalia decreased during the COVID-19 pandemic compared to before the pandemic. This finding suggests potential risk mitigation strategies taken by participants for COVID-19 prevention either directly through behavior change or indirectly through adherence to COVID-19 prevention recommendations. Harm reduction messaging around sharing of cannabis during surges of COVID-19 or other respiratory infections may provide benefit in reducing infection among those who use cannabis, especially as cannabis use in the USA continues to increase.

Project description:BackgroundUniversity students are more at risk of mental illness compared with the general population. Declaration of a global COVID-19 pandemic led the Bangladesh government in March 2020 to implement a national lockdown, home quarantining, social distancing measures, and closure of educational institutions. We aimed to explore the impact of lockdown on the mental health and well-being of university students in Bangladesh.MethodsA nested mixed-methods survey design was undertaken using a semi structured questionnaire and in-depth interviews conducted by telephone of 73 university students (mean age of 22 years, range 18 to 26-years-old) attending public and private academic institutions in Dhaka. A questionnaire was developed de-novo and pre-tested. Qualitative, open-ended questions were used to understand experiences regarding students' mental health and well-being, their perceptions of COVID-19, and coping strategies.ResultsFifty nine percent of students reported that lockdown had a significant impact on their mental health and well-being. They described difficulties with social isolation and loneliness, motivation, and interpersonal conflict within families. Students' knowledge of COVID-19 were high with television, newspapers, online, and social media were main sources of information; few relied on government reports. Most pressing concerns were timely graduation and employment (83%), not being able to socialize (46%), being stuck at home (37%), and financial difficulties regarding university fees (29%). Additional underlying stressors included financial insecurity of respondents' households and parental health. Coping strategies included watching television or films, online meetings with friends, social media, as well interactions with family.ConclusionAs a result of Bangladesh's first national lockdown, university students experienced negative effects on their mental health and well-being. There is an urgent need for greater proactive measures within educational settings, such as mental health literacy programmes and diagnosis management that could mitigate and prevent adverse impacts of future lockdowns.

Project description:ObjectiveIn view of the high-smoking rate among university students in Lebanon and the known adverse effects of second-hand smoking, the American University of Beirut (AUB) decided to implement a non-smoking policy on campus. This study sought to examine the students' compliance and attitudes following the ban.DesignCross-sectional study.SettingA private university in Lebanon.Participants545 randomly selected students were approached. A stratified cluster sample of classes offered in the spring semester of the 2008/2009 academic year was selected. Students completed a self-administered paper and pencil survey during class time.Primary and secondary outcome measuresThe main outcomes were compliance with and attitudes towards the ban. Other secondary outcomes were the perception of barriers to implementation of the ban and attitudes towards tobacco control in general.Results535 students participated in the study. Smokers were generally compliant with the ban (72.7%) and for some (20%) it led to a decrease in their smoking. Students' attitude towards the ban and the enforcement of a non-smoking policy in public places across Lebanon varied according to their smoking status whereby non-smokers possessed a more favourable attitude and strongly supported such policies compared with smokers; overall, the largest proportions of students were satisfied to a large extent with the ban and considered it justified (58.6% and 57.2%, respectively). While much smaller percentages reported that the ban would help in reducing smoking to a large extent (16.7%) or it would help smokers quit (7.4%). Perceived barriers to implementation of the non-smoking policy in AUB included the lack of compliance with and strict enforcement of the policy as well as the small number and crowdedness of the smoking areas.ConclusionsAn education campaign, smoking cessation services and strict enforcement of the policy might be necessary to boost its effect in further reducing students' cigarette use.

Dataset Information

Puff or pass: do social media and social interactions influence smoking behaviour of university students? A cross-sectional mixed methods study from Dhaka, Bangladesh.

Publications

Puff or pass: do social media and social interactions influence smoking behaviour of university students? A cross-sectional mixed methods study from Dhaka, Bangladesh.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets