
Thorax, Год журнала: 2024, Номер 79(7), С. 662 - 669
Опубликована: Май 16, 2024
Social media may influence children and young people's health behaviour, including cigarette e-cigarette use.
Язык: Английский
Thorax, Год журнала: 2024, Номер 79(7), С. 662 - 669
Опубликована: Май 16, 2024
Social media may influence children and young people's health behaviour, including cigarette e-cigarette use.
Язык: Английский
Current Addiction Reports, Год журнала: 2023, Номер 10(1), С. 29 - 37
Опубликована: Янв. 16, 2023
Язык: Английский
Процитировано
55Health Promotion International, Год журнала: 2024, Номер 39(1)
Опубликована: Янв. 31, 2024
Abstract The commercial determinants of health (CDoH) have a significant impact on the and well-being children young people (subsequently referred to as people). While most research has focused influence harmful industry marketing people, more recent CDoH frameworks emphasized that range systems practices may well-being. Focusing traditional digital media, contemporary strategies corporate production consumption processes, following article outlines wellbeing people. also provides evidence about how conceptualize actors health, their involvement in advocacy respond. recommends when collaborating with understand impacts responses CDoH, we should seek diversify investigations towards tactics, structures, rather than simply focusing advertising. This include considering areas priorities identify for action understanding why some are vulnerable tactics others. Youth powerful allies responding CDoH. Public promotion stakeholders could do champion voices allow them be active participants decisions made health.
Язык: Английский
Процитировано
17Nicotine & Tobacco Research, Год журнала: 2024, Номер 26(Supplement_1), С. S3 - S12
Опубликована: Фев. 1, 2024
Abstract Introduction Nicotine/tobacco social media content may increase young people’s risk for use. This study examined prospective associations between exposure to and engagement with nicotine/tobacco-related nicotine/tobacco use among adults. Aims Methods Young adults (N = 2080) originally recruited from Southern California high schools a cohort reported frequency of viewing posting on four platforms (Facebook, Instagram, Twitter, YouTube). Participants also seeing posts friends, influencers or celebrities, liking posts. Within subsamples never users (n 794), past 897) current 389), analyses baseline (May–October 2020) follow-up (January–June 2021) tobacco initiation (among users), resumption continuation adjusting sociodemographic socioenvironmental characteristics. Results Never who saw friends (Adjusted Odds Ratio [AOR] 2.91 [95% Confidence Interval [CI]: 1.46, 5.82], p .002) celebrities (AOR 2.77 [1.32, 5.84], .007) were significantly more likely initiate than their peers. Among users, at was associated 1.77 [1.12, 2.80], .014). Content not (p-values > .05). Conclusions Seeing influencers, greater odds initiation, but continuation, 6 months later. post about be elevated resuming Implications peers Past resume baseline, activity did predict follow-up. should restricted reduce chances resumption.
Язык: Английский
Процитировано
9Preventive Medicine Reports, Год журнала: 2022, Номер 30, С. 102055 - 102055
Опубликована: Ноя. 14, 2022
Exposure to social media and its content featuring tobacco products is associated with e-cigarette use among adolescents. This study measured the association between frequency of Instagram, TikTok YouTube exposure tobacco-related on each these platforms ever-use, current (past 30-day) initiation A cross-sectional longitudinal analyses were used based a self-reported survey conducted online in January - May 2021-2022 socioeconomically- racially-diverse Los Angeles, California high school students (N = 2,036). Adolescents had higher odds ever-use (adjusted ratio [AOR] 2.16; CI: 1.20;3.90) (AOR 3.11; 1.64;5.89) if they several times per day, compared adolescents who less frequently or not at all. also 2.97; 1.53;5.77) daily 2.60; 2.02;3.35) reported seeing nicotine posts, including e-cigarettes, least weekly. Frequent frequent increased risk Tobacco-related popular youth, especially TikTok, requires stronger regulation better enforcement by their policies restricting content.
Язык: Английский
Процитировано
33Administrative Sciences, Год журнала: 2023, Номер 13(5), С. 126 - 126
Опубликована: Май 8, 2023
In the EU-27 countries, importance of social sustainability digital transformation (SOSDIT) is heightened by need to balance economic growth with cohesion. By prioritizing SOSDIT, EU can ensure that its citizens are not left behind in process and technology serves needs all Europeans. Therefore, current study aimed firstly evaluate SOSDIT countries then model reaching sustainable development goals (SDGs). The study, using structural equation modeling, provided quantitative empirical evidence Finland, Netherlands, Denmark respectively most socially sustainable. It also found leads have a higher performance SDGs. Finally, implying inverse relationship between Gini coefficient other words, country, lower findings this contribute literature digitalization. provides regarding level be foundation for policies improve transformation. According findings, practical recommendations their has positive impact on society.
Язык: Английский
Процитировано
21Nicotine & Tobacco Research, Год журнала: 2024, Номер 26(Supplement_1), С. S19 - S26
Опубликована: Фев. 1, 2024
Abstract Introduction Over the past decade, youth e-cigarette use has risen exponentially. At same time, digital media increased markedly while of traditional broadcast TV declined. In response, U.S. Food and Drug Administration’s The Real Cost public education campaign shifted to communicating harms via primarily social platforms. This study evaluated longitudinal associations between exposure advertisements changes in campaign-specific beliefs among US youth. Methods A nationally representative cohort (aged 11–16 years at baseline) was surveyed five times. Building on earlier work, we analyzed data from last three waves (April–July 2020; January–April 2021; August–October N = 2625). We assessed self-reported six ads agreement with 11 that were each targeted by one or more ads. Eleven weighted panel regression models whether ad predicted over time. Results observed significant increases least belief for Across beliefs, 6 related e-cigarettes toxic metals, lung damage, dangerous ingredients, anxiety, cigarette use, disappointing important people. Conclusions found evidence this successful influencing youth, providing support effectiveness campaign’s adaption address youth’s tobacco habits. Implications educates about dangers use. evaluates Cost’s Considering evolving trends consumption, adapted its approach increase delivery across Our findings indicate reached intended audience around harm consequences offering prevention efforts within a fragmented environment.
Язык: Английский
Процитировано
7American Journal of Public Health, Год журнала: 2024, Номер 114(10), С. 980 - 982
Опубликована: Июль 25, 2024
Язык: Английский
Процитировано
7Addictive Behaviors, Год журнала: 2024, Номер 154, С. 108000 - 108000
Опубликована: Фев. 28, 2024
Язык: Английский
Процитировано
6JAMA Pediatrics, Год журнала: 2023, Номер 177(3), С. 221 - 221
Опубликована: Янв. 17, 2023
This Viewpoint discusses the need for health promotion programs and interventions to bolster tobacco-related digital media literacy among adolescents, young adults, parents, teachers, public organizations.
Язык: Английский
Процитировано
14Nicotine & Tobacco Research, Год журнала: 2023, Номер 26(5), С. 552 - 560
Опубликована: Ноя. 8, 2023
Abstract Introduction Instagram and TikTok, video-based social media platforms popular among adolescents, contain tobacco-related content despite the platforms’ policies prohibiting substance-related posts. Prior research identified themes in e-cigarette-related posts using qualitative or text-based machine learning methods. We developed an image-based computer vision model to identify e-cigarette products images videos. Aims Methods created a data set of 6999 labeled for 8 object classes: mod pod devices, e-juice containers, packaging boxes, nicotine warning labels, flavors, brand names, smoke clouds. trained DyHead detection Swin-Large backbone, evaluated model’s performance on 20 TikTok videos, applied 14 072 promotional videos (2019–2022; 10 276 485 frames). Results The achieved following mean average precision scores image test set: container: 0.89; device: 0.67; 0.54; box: 0.84; label: 0.86; name: 0.71; flavor cloud: 0.46. prevalence devices increased by 15% from 2019 2022. e-juices 33% 2021 names about 100% Conclusions Deep learning-based technology enables automated analysis visual media. Our can detect presence e-cigarettes providing valuable surveillance tobacco regulatory science (TRS). Implications featuring at least two objects, deep be used automated, scalable image- media, TRS. Social could use imagery remove it promptly, which reduce adolescents’ exposure online.
Язык: Английский
Процитировано
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