A systematic review of second-hand smoking mass media campaigns (2002-2022).

BACKGROUND: Second-hand smoking (SHS) increases the risk of chronic disease in adults and poses a serious health threat to children. Mass media campaigns are instrumental in raising awareness and reducing SHS exposure. There is a need to identify recent SHS mass media campaigns and assess their sustainability in terms of knowledge, attitudes, and behavioural changes. This systematic review summarises the characteristics and outcomes of mass media campaigns on SHS prevention. METHODS: PubMed, Embase, Web of Science, and grey literature were searched in November 2022 for SHS campaigns implemented between 2016 and 2022. The eligibility criteria included campaigns on the dangers or effects of SHS with any target group, dissemination medium, study design, or language. The database search identified 1,413 peer-reviewed titles, of which 82 full-texts were screened, with 14 meeting the eligibility criteria. The grey literature search identified 9,807 sources, of which 61 were included. We extracted data on the campaign characteristics, metrics, and smoking-related outcomes. The JBI critical appraisal tool was used to assess the risk of bias of the included studies. RESULTS: We found 73 SHS campaigns conducted between 2002 and 2022, across 50 countries. The campaigns reached 378 million people. The reported recall rates range from 8 to 76%. Of the 11 studies that reported smoking-related outcomes, 10 reported increased knowledge in understanding SHS risks (73-85%), five reported an increased prevalence of smoke-free homes, and two reported an increase in number of participants persuading others to quit smoking. Two studies reported a decrease in overall smoking, whereas three studies observed a reduction in smoking in the presence of children. CONCLUSION: The available data provide some support for the effectiveness of SHS campaigns in reducing smoking behaviours in homes and around children. However, the certainty of evidence was low due to the lack of a control group and the substantial heterogeneity in the outcomes assessed. Future campaigns need comprehensive evaluation and reporting to reduce publication bias.

What is the hype on #MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweets.

INTRODUCTION: Medicinal cannabis is now legal in 44 US jurisdictions. Between 2020 and 2021 alone, four US jurisdictions legalised medicinal cannabis. The aim of this study is to identify themes in medicinal cannabis tweets from US jurisdictions with different legal statuses of cannabis from January to June 2021. METHODS: A total of 25,099 historical tweets from 51 US jurisdictions were collected using Python. Content analysis was performed on a random sample of tweets accounting for the population size of each US jurisdictions (n = 750). Results were presented separately by tweets posted from jurisdictions where all cannabis use (non-medicinal and medicinal) is 'fully legalised', 'illegal' and legal for 'medical-only' use. RESULTS: Four themes were identified: 'Policy', 'Therapeutic value', 'Sales and industry opportunities' and 'Adverse effects'. Most of the tweets were posted by the public. The most common theme was related to 'Policy' (32.5%-61.5% of the tweets). Tweets on 'Therapeutic value' were prevalent in all jurisdictions and accounted for 23.8%-32.1% of the tweets. Sales and promotional activities were prominent even in illegal jurisdictions (12.1%-26.5% of the tweets). Fewer than 10% of tweets were about intoxication and withdrawal symptoms. DISCUSSION AND CONCLUSION: This study has explored if content themes of medicinal cannabis tweets differed by cannabis legal status. Most tweets were pro-cannabis and they were related to policy, therapeutic value, and sales and industry opportunities. Tweets on unsubstantiated health claims, adverse effects and crime warrants continued surveillance as these conversations could allow us to estimate cannabis-related harms to inform health surveillance.

A systematic review and meta-analysis of the relationship between youth drinking, self-posting of alcohol use and other social media engagement (2012-21).

BACKGROUND AND AIM: Social networking sites (SNS) are interactive internet-based social platforms that facilitate information sharing. A growing body of literature on exposure to, and self-posting of, alcohol-related content on SNS has examined the relationship between SNS use and alcohol consumption in young people. This study aims to synthesise the literature exploring the relationship between exposure (i.e. viewing or listening of alcohol-related media) and self-posting (i.e. uploading images or text of alcohol content) of alcohol-related media on SNS on alcohol consumption. METHODS: A pre-registered systematic review was conducted in June 2022 within PubMed, Scopus, PsycINFO and Web of Science. Original prospective and cross-sectional studies assessing youth and young adults (≤ 24 years of age) that measured exposure to alcohol-related media or posting of alcohol-related content on SNS and self-reported alcohol consumption outcomes were included. Meta-analyses were conducted on comparable methodologies. RESULTS: Thirty studies were included (n = 19,386). Meta-analyses of cross-sectional studies showed both greater exposure (five studies; pooled ß = 0.34, 95% confidence interval [CI] = 0.23, 0.44, i2 = 27.7%) and self-posting of alcohol-related content (six studies; pooled ß = 0.57, 95%CI = 0.25,0.88, i2 = 97.8%) was associated with greater alcohol consumption. Meta-analyses of three prospective studies also identified that greater exposure predicted greater future alcohol consumption (three studies; pooled ß = 0.13, 95%CI = 0.11,0.15, i2 = 0.0%). Narrative analyses of studies that could not be meta-analysed due to incompatible methodologies were also conducted. Most studies (all four prospective, one of two cross-sectional) identified positive associations between exposure to alcohol-related content and greater average consumption. Most studies (three of four prospective, four of six cross-sectional) reported a positive association between of alcohol-related self-posting and greater average alcohol consumption. CONCLUSIONS: Both exposure to, and self-posting of, alcohol-related content on social networking sites are positively associated with current average consumption, problem drinking, and drinking frequency.

Cat Ownership and Schizophrenia-Related Disorders and Psychotic-Like Experiences: A Systematic Review and Meta-Analysis.

BACKGROUND: It has been proposed that cat ownership may be a risk-modifying factor for schizophrenia-related disorders and psychotic-like experiences (PLE). This study aimed to systematically review and meta-analyze publications that reported the relationship between cat ownership and schizophrenia-related outcomes. METHODOLOGY: We searched Medline, Embase, CINAHL, Web of Science, and gray literature for publications between January 1, 1980, and May 30, 2023, regardless of geographical location and language. Backward citation search methods were used to locate additional articles. We included studies that reported original data on cat ownership and schizophrenia-related outcomes. We meta-analyzed estimates based on broad definitions (cat ownership, cat bites, and cat contact) with estimates with or without covariate adjustments. We pooled comparable estimates using random-effects models and assessed the risk of bias, heterogeneity, and study quality. RESULTS: We identified 1915 studies, of which 106 were chosen for full-text review, ultimately resulting in the inclusion of 17 studies. We found an association between broadly defined cat ownership and increased odds of developing schizophrenia-related disorders. The unadjusted pooled odds ratio (OR) was 2.35 (95% CI: 1.38-4.01), while the adjusted pooled estimate was 2.24 (95% CI: 1.61-3.12). We were unable to aggregate the estimates for the PLE outcomes because of the broad range of measures. CONCLUSIONS: Our findings support an association between cat exposure and an increased risk of broadly defined schizophrenia-related disorders; however, the findings related to PLE as an outcome are mixed. There is a need for more high-quality studies in this field. PROSPERO REGISTRATION: PROSPERO 2023 CRD42023426974. Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023426974.

Self-reported depression and anxiety and healthcare professional interactions regarding smoking cessation and nicotine vaping: Findings from 2018 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) Survey.

INTRODUCTION: People with mental health conditions are disproportionately affected by smoking-related diseases and death. The aim of this study was to assess whether health professional (HP) interactions regarding smoking cessation and nicotine vaping products (NVPs) differ by mental health condition. METHODS: The cross-sectional 2018 International Tobacco Control Four Country (Australia, Canada, England, United States) Smoking and Vaping Survey data included 11040 adults currently smoking or recently quit. Adjusted weighted logistic regressions examined associations between mental health (self-reported current depression and/or anxiety) and visiting a HP in last 18 months; receiving advice to quit smoking; discussing NVPs with a HP; and receiving a recommendation to use NVPs. RESULTS: Overall, 16.1% self-reported depression and anxiety, 7.6% depression only, and 6.6% anxiety only. Compared with respondents with no depression/anxiety, those with depression (84.7%, AOR=2.65; 95% CI: 2.17-3.27), anxiety (82.2%, AOR=2.08; 95% CI: 1.70-2.57), and depression and anxiety (87.6%, AOR=3.74; 95% CI: 3.19-4.40) were more likely to have visited a HP. Among those who had visited a HP, 47.9% received advice to quit smoking, which was more likely among respondents with depression (AOR=1.58; 95% CI: 1.34-1.86), and NVP discussions were more likely among those with depression and anxiety (AOR=1.63; 95% CI: 1.29-2.06). Of the 6.1% who discussed NVPs, 33.5% received a recommendation to use them, with no difference by mental health. CONCLUSIONS: People with anxiety and/or depression who smoke were more likely to visit a HP than those without, but only those with depression were more likely to receive cessation advice, and only those with depression and anxiety were more likely to discuss NVPs. There are missed opportunities for HPs to deliver cessation advice. NVP discussions and receiving a positive recommendation to use them were rare overall.

Viral Vaping: A systematic review and meta analysis of e-cigarette and Tobacco-Related social media content and its influence on youth behaviours and attitudes.

AIMS: E-cigarette and tobacco-related content on social media continues to rise from lax restrictions on both personal and promotional posts. This content has been linked to various mechanisms of increased e-cigarette and tobacco use (i.e., lower risk perceptions and increased susceptibility). This study aimed to synthesis the association between exposure to e-cigarette and tobacco-related content and youth behaviours and attitudes. METHODS: A comprehensive search was conducted on PubMed, Scopus, PsycINFO and Web of Science. Studies published post-2004 reporting effect estimates for exposure or engagement with e-cigarette or tobacco content on social media and behaviour or attitude outcomes were included. RESULTS: Thirty-two studies (N = 274,283, aged 9 to 25 years) were included for synthesis. Meta-analyses revealed significant associations between engagement with tobacco content and use (OR 2.21; 95% CI = 1.27-3.82, p =.005; I2 = 96.4%), exposure to tobacco content and never users' lower risk perceptions (OR 0.68; 95% CI = 0.49-0.91; p =.011; I2 = 78.2%), and exposure to e-cigarette content and use (OR 1.37; 95% CI = 0.99-1.88; p = 0.058; I2 = 64.4%). There was no observed relationship between exposure to tobacco content and ever users' risk perceptions (OR 0.83; 95% CI = 0.61-1.13; p =.231; I2 = 83.5%). Qualitative synthesis found significant associations between tobacco exposure and increased current use and pro-tobacco attitudes; e-cigarette exposure and increased susceptibility and lower risk perceptions; tobacco engagement and increased susceptibility; e-cigarette engagement and increased use; dual exposure and increased susceptibility; and dual engagement and increased dual use. Mixed findings were identified for the influence of e-cigarette exposure on attitudes, tobacco exposure on susceptibility, dual exposure on dual use behaviours, and dual engagement on dual susceptibility. CONCLUSIONS: Findings suggest an association between exposure and engagement to e-cigarette or tobacco products on social media and use or pro-use attitudes among youth. Further substantive research in the area of youth-specific use and attitudes following exposure and engagement with e-cigarette and tobacco content is needed to quantify this association.

Longitudinal association between exposure to e-cigarette advertising and youth e-cigarette use in the United States.

BACKGROUND AND AIM: E-cigarette marketing strategies are targeting and appealing to youth, particularly through social media. This study examined the longitudinal relationship between recalled exposure to e-cigarette advertisements on social media and across five traditional advertising mediums, and e-cigarette use, a year later. DESIGN: Weighted regression analyses of waves 4 (W4; 2017), 4.5 (W4.5; 2018) and 5 (W5; 2019) from the Population Assessment of Tobacco and Health Study. SETTING: United States. PARTICIPANTS: Youth aged 12-17 years at W4 or W4.5 (N = 16,671). MEASUREMENTS: We examined the association between past 30-day recalled exposure to six different e-cigarette advertisement mediums (gas stations/convenience stores, social media/websites, newspaper/magazines, radio, billboard, TV) in W4.5 and past 30-day and past 12-month e-cigarette use in W5, while controlling for W4 e-cigarette use and covariates such as sociodemographic variables, academic performance, peer cigarette/e-cigarette use and other substance use. Associations between recalled exposure (W4.5) and lifetime use (W5) among e-cigarette naïve youth at W4.5 (N = 8,914) were also assessed. FINDINGS: Past 12-month and past 30-day e-cigarette use was significantly associated with recalled exposure to e-cigarette advertisement on social media/websites (aOR = 1.65 [99.17 %CI = 1.36,1.99; aOR = 1.49 [99.17 %CI = 1.13, 1.97]) and gas stations/convenience stores (aOR = 1.33; [99.17 %CI = 1.11,1.58]; aOR = 1.27 [99.17 %CI = 1.03,1.58]). Exposure to e-cigarette advertisement on social media/websites (aOR = 1.35 [99.17 %CI = 1.04,1.74]) and gas stations/convenience stores (aOR = 1.67 [99.17 %CI = 1.31,2.13]) was significantly associated with lifetime e-cigarette use among baseline youth who were e-cigarette naïve. CONCLUSIONS: Exposure to e-cigarette advertisement on social media/websites and gas stations/convenience stores was associated with youth e-cigarette use a year later. Stricter restrictions on marketing in these mediums is needed to limit youth exposure to e-cigarette marketing messages if we are to reduce e-cigarette use.

Intake of sugary beverages with chronic conditions and multimorbidity: a prospective cohort study of UK Biobank.

BACKGROUND: The burden of chronic conditions associated with sugary beverages is increasing but little is known about the role of different types of sugary beverages in the co-occurrence of multiple chronic conditions ('multimorbidity'). To inform future sugar-reduction guidelines, we aimed to examine the associations of sugar-sweetened beverages (SSB), artificially sweetened beverages (ASB) and natural juices (NJ) with multimorbidity. METHODS: This prospective cohort study included 184 093 UK Biobank participants aged 40-69 years at baseline who completed at least one occasion of 24-h dietary recall between 2009 and 2012. Daily consumptions of SSB, ASB and NJ were assessed using 24-h dietary recall. Participants were followed from the first 24-h assessment until the onset of two or more new chronic conditions, or the end of follow-up (31 March 2017), whichever occurred first. Logistic regression models, Cox proportional hazard models and quasi-Poisson mixed effects models were used to estimate the association of beverages intakes with chronic conditions and multimorbidity. RESULTS: A total of 19 057 participants had multimorbidity at baseline and 19 968 participants developed at least two chronic conditions during follow-up. We observed dose-response relationships of SSB and ASB consumptions with the prevalence and incidence of multimorbidity. For example, the adjusted hazard ratios (HRs) and 95% CIs of the incidence of developing at least two chronic conditions ranged from 1.08 (1.01-1.14) for SSB intake of 1.1-2 units/day to 1.23 (1.14-1.32) for >2 units/day compared with 0 units/day. Also, the adjusted HRs (95% CIs) of ASB consumption ranged from 1.08 (1.03-1.13) for 0.1-1 unit/day to 1.28 (1.17-1.40) for >2 units/day compared with non-consumers. Conversely, moderate consumption of NJ was associated with a smaller risk of the prevalence and incidence of multimorbidity. Moreover, higher intakes of SSB and ASB were positively associated whereas moderate intake of NJ was inversely associated with increased number of new-onset chronic conditions during follow-up. CONCLUSIONS: Higher SSB and ASB intakes were positively associated whereas moderate NJ intake was inversely associated with the higher risk of multimorbidity and increased number of chronic conditions. Current and intended policy options to decrease the burden of chronic conditions and multimorbidity need a formulation of SSB and ASB reduction strategies.

Global prevalence of heated tobacco product use, 2015-22: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Heated tobacco products (HTPs) are electronic devices that heat process tobacco to release an aerosol containing nicotine and other chemicals. Limited data exist on world-wide HTP use prevalence. This meta-analytic review estimated the prevalence of HTP use by country, World Health Organization (WHO) region, year, sex/gender and age. METHODS: Five databases (Web of Science, Scopus, Embase, PubMed and PsycINFO) were searched between January 2015 and May 2022. Included studies reported the prevalence of HTP use in nationally representative samples post-modern HTP device market entry (2015). A random-effects meta-analysis was used to estimate overall prevalence for life-time, current and daily HTP use. RESULTS: Forty-five studies (n = 1 096 076) from 42 countries/areas from the European Region (EUR), Western Pacific Region (WPR), Region of the Americas (AMR) and African Region (AFR) met inclusion criteria. Estimated pooled prevalence for life-time, current and daily HTP use was 4.87% [95% confidence interval (CI) = 4.16, 5.63], 1.53% (95% CI = 1.22, 1.87) and 0.79% (95% CI = 0.48, 1.18), respectively, across all years (2015-22). Life-time HTP use prevalence significantly increased by 3.39% for WPR [0.52% (95% CI = 0.25, 0.88) in 2015 to 3.91% (95% CI = 2.30, 5.92) in 2019] and 5.58% for EUR [1.13% (95% CI = 0.59, 1.97) in 2016 to 6.98% (95% CI = 5.69, 8.39) in 2020]. Current HTP use increased by 10.45% for WPR [0.12% (95% CI = 0, 0.37) in 2015 to 10.57% (95% CI = 5.59, 16.88) in 2020] and 1.15% for EUR [0% (95% CI = 0, 0.35) in 2016 to 1.15% (95% CI = 0.87, 1.47) in 2020]. Meta-regression revealed higher current HTP use in WPR [3.80% (95% CI = 2.88, 4.98)] compared with EUR [1.40% (95% CI = 1.09, 1.74)] and AMR [0.81% (95% CI = 0.46, 1.26)] and for males [3.45% (95% CI = 2.56, 4.47)] compared with females [1.82% (95% CI = 1.39, 2.29)]. Adolescents had higher life-time HTP use prevalence [5.25% (95% CI = 4.36, 6.21) than adults [2.45% (95% CI = 0.79, 4.97)]. Most studies scored a low risk of sampling bias due to their nationally representative sampling. CONCLUSION: The prevalence of HTPs use increased in the EUR and WPR between 2015 and 2020, with nearly 5% of the included populations having ever tried HTP and 1.5% identifying as current users during the study period.

Sleep Behaviors and Progression of Multimorbidity in Middle-Aged and Older Adults: A Prospective Cohort Study From China.

BACKGROUND: Sleep behavior (eg, sleep duration, sleep quality, and nap) is closely related to many chronic conditions. However, less is known about its association with multiple chronic conditions (multimorbidity), particularly evidence from cohort studies. METHODS: Data were collected from a cohort of 8 937 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (2011-2018). Sleep duration, sleep quality, and nap duration were collected in 2011 and 2013. Progression of multimorbidity was defined as the first report of 2 or more chronic conditions for participants without multimorbidity or the new report of 1 or more conditions for those with multimorbidity. Cox regression models were performed to calculate the hazard ratios and 95% confidence intervals (CIs) of the associations between sleep behaviors and the progression of multimorbidity. RESULTS: Short sleep duration and poor sleep quality were associated with the progression of multimorbidity independently and jointly, especially in those less than 65 years and females. The U-shaped dose-response relationships were observed between nighttime and total sleep duration and the progression of multimorbidity. Persistent short and unsteadily changed sleep behaviors increased the risk of multimorbidity progression. Individuals sleeping ≤5 h/night with 5-7 restless days/week had 1.53 times higher risk of multimorbidity progression (95% CI: 1.37-1.71), compared to those sleeping 7-8 h/night with <1 restless day/week. CONCLUSIONS: Short sleep duration and poor sleep quality were independently and jointly associated with a higher risk of multimorbidity progression in a mid-to-older population. Optimal sleep duration and sleep quality should be emphasized in multimorbidity prevention and control.

A latent class analysis of patterns of tobacco and cannabis use in Australia and their health-related correlates.

INTRODUCTION: The shifting landscape in Australia's tobacco and cannabis policies and emerging new products and modes of administration may increase experimentation and the risks of addiction to these drugs. METHODS: We analysed cross-sectional data from the 2019 National Drug Strategy and Household Survey (n = 22,015) of Australians aged 14 and above. Latent class analysis was used to identify distinct groups based on types of tobacco and cannabis products used. The socio-demographic, health-rated correlates and past-year substance use of each latent class was examined. RESULTS: A four-class solution was identified: co-use of tobacco and cannabis (2.4%), cannabis-only (5.5%), tobacco-only (8.0%) and non-user (84.0%). Males (odds ratio [OR] range 1.5-2.9), younger age (OR range 2.4-8.4), moderate to high psychological distress (OR range 1.3-3.0), using illicit substances in the last year (OR range 1.41-22.87) and high risk of alcohol use disorder (OR range 2.0-21.7) were more likely to be in the tobacco/cannabis use classes than non-users. Within the co-use class, 78.4% mixed tobacco with cannabis and 89.4% had used alcohol with cannabis at least once. DISCUSSION AND CONCLUSIONS: Approximately 16% of respondents used tobacco or cannabis, or both substances, and no major distinct subgroups were identified by the use of different product types. Mental health issues and the poly-substance use were more common in the class who were co-users of cannabis and tobacco. Existing policies need to minimise cannabis and tobacco-related harms to reduce the societal burden associated with both substances.

#TurntTrending: a systematic review of substance use portrayals on social media platforms.

AIMS: There is a growing body of literature exploring the types of substance-related content and their portrayals on various social media platforms. We aimed to summarize how content related to substances is portrayed on various social media platforms. METHODS: This systematic review was pre-registered on PROSPERO (ref: CRD42021291853). A comprehensive search was conducted in the databases of PubMed, Scopus, PsycINFO and Web of Science in April 2021. Original qualitative studies published post-2004 that included thematic and sentiment analyses of social media content on tobacco, alcohol, psychostimulant, e-cigarette, cannabis, opiate, stimulant/amphetamine, inhalant and novel psychoactive substance were included. Social media platforms were defined as online web- or application-based platforms that allowed users to generate content and interact via 'liking', comment or messaging features. Only studies that included summative and/or thematic content analyses of substance-related social media content were included. RESULTS: A total of 73 studies, which covered 15 905 182 substance-related posts on Twitter, YouTube, Instagram, Pinterest, TikTok and Weibo, were identified. A total of 76.3% of all substance-related content was positive in its depiction of substance use, with 20.2% of content depicting use negatively. Sentiment regarding opiate use however was commonly negative (55.5%). Most studies identified themes relating to Health, Safety and Harms (65.0%) of substance use. Themes relating to Promotions/Advertisements (63.3%), Informative content (55.0%) and Use behaviours (43.3%) were also frequently identified. CONCLUSIONS: Substance-related content that promotes engagement with substance use or actively depicts use appears to be widely available on social media. The large public presence of this content may have concerning influences on attitudes, behaviours and risk perceptions relating to substance use, particularly among the most vulnerable and heaviest users of social media-adolescents and young adults.

Efficacy of smokeless tobacco for smoking cessation: a systematic review and meta-analysis.

OBJECTIVE: Smoking remains prevalent in many countries despite rigorous tobacco control strategies. The use of Swedish snus, a type of low-nitrosamine smokeless tobacco, has been promoted as a tobacco harm reduction strategy. DATA SOURCES AND STUDY SELECTION: Three databases were searched for studies that assessed the effectiveness of snus in promoting smoking abstinence. A total of 28 studies were reviewed (5 randomised controlled trials (RCTs), 7 longitudinal and 16 cross-sectional studies). DATA EXTRACTION: Separate meta-analyses were conducted by study type, pooling effect estimates where outcome measures and design were sufficiently comparable. Study details and quality assessment (Risk of Bias 2 for RCTs, Newcastle-Ottawa Scale for observational studies) are provided for each study. DATA SYNTHESIS: While the meta-analysis of RCTs did not show a significant association between snus use and smoking cessation (risk ratio (RR)=1.33, 95% CI 0.71 to 2.47 and RR=0.62, 95% CI 0.27 to 1.41), the results of the meta-analysis of longitudinal cohort studies (RR=1.38, 95% CI 1.05 to 1.82, p=0.022) and cross-sectional studies (OR=1.87, 95% CI 1.29 to 2.72, p=0.001) indicated that use of snus was associated with an increased likelihood of quitting or having quit smoking. There was significant heterogeneity in the cross-sectional studies, and leave-one-out analysis indicated that the longitudinal cohort results were driven by one study. Most studies examined were subject to an elevated risk of bias. CONCLUSION: There is weak evidence for the use of snus for smoking cessation. Better RCTs and longitudinal studies are needed; meanwhile, existing cessation aids may be better placed than snus to promote abstinence.

Vaping on TikTok: a systematic thematic analysis.

INTRODUCTION: The rising popularity of TikTok among adolescents may influence their awareness and perceptions of e-cigarette use via user-generated content. This study aimed to examine how e-cigarette/vaping-related videos are portrayed on TikTok. METHODS: The nine most viewed hashtag based keywords were used to identify popular e-cigarette/vaping-related videos on TikTok (n=1000) from its inception (earliest upload date: January 2019) to November 2020. Five researchers independently coded the number of views, likes, user category and theme. RESULTS: A final sample of 808 e-cigarette/vaping-related videos that met study criteria were included. Collectively, these videos were viewed over 1.5 billion times, with a median view count of 1 000 000 (range 112 900-78 600 000) and a median 'likes' count of 143 000 (range 10 000-1 000 000). A majority of the videos portrayed e-cigarette use positively (63%; collectively viewed over 1.1 billion times). Neutral depictions of e-cigarette use were viewed a total of 290 million times (24%) and negative depictions of e-cigarettes were viewed a total of 193 million times (13%). The video themes included (not mutually exclusively): 'comedy and joke' (52%; total of 618 million views), 'lifestyle and acceptability' (35%; 459 million), 'marketing' (29%; 392 million), 'vaping tricks' (20%; 487 million), 'nicotine and addiction' (20%; 194 million), 'creativity' (16%; 322 million) and 'warning' (11%; 131 million). CONCLUSION: Our findings illustrated that positively framed e-cigarette and vaping-related postings available without age restrictions on TikTok-a rising video-sharing platform that is popular among adolescents-have been viewed many times. Effective age restrictions are needed to reduce adolescents' potential exposure to videos that portray vaping positively.

Cryptocurrency trading and its associations with gambling and mental health: A scoping review.

BACKGROUND AND AIMS: The volatile and 24/7 nature of the cryptocurrency market allows traders to engage in speculative trading patterns closely resembling gambling. Its potential for harm and financial loss warrant investigation from a public health perspective. Therefore, we summarized the emerging literature on cryptocurrency trading and its link to problematic gambling and other mental health outcomes such as depression and anxiety. We also examined demographic or psychological factors associated with cryptocurrency trading. METHODS: We searched PubMed, Scopus, and Embase for published, original studies investigating associations with cryptocurrency trading behavior. We also conducted supplementary searches using Google Scholar. RESULTS: Eight papers were included after eligibility screening. Our scoping review revealed associations between problem gambling symptoms and cryptocurrency trading engagement and intensity. Furthermore, we found cryptocurrency traders share similar demographic and personality characteristics with share-traders and problem gamblers. Studies on cryptocurrency trading and mental health produced mixed results. DISCUSSIONS AND CONCLUSIONS: Our scoping review indicates a likely relationship between problem gambling and cryptocurrency trading. Findings also suggest overlap with high-risk stock traders, with similarities in gambling behaviors, demographics, and personality traits. These findings justify further research into problem cryptocurrency trading behaviors and their potential for harm, especially concerning mental health. To assess what behaviors are problematic, future research should also look to explore differences between long-term investors and short-term traders of cryptocurrency.

Trends and Socio-Demographic Differences of Cannabis Vaping in the USA and Canada.

Given the rise in cannabis vaping, it is important to highlight the heterogeneity in vaping different cannabis product because of the potential differences in their health risks. This study aims to estimate the trends and socio-demographic correlates of the use of various cannabis vaping products across jurisdiction with different legal status. Data from the 2018 (n = 27,169) and 2019 (n = 47,747) waves of the International Cannabis Policy Study (ICPS) were used. Respondents aged 16-65 completed web-based surveys. In 2019, proportions of past year vaping of cannabis oil, dried flower and concentrates in the overall sample were highest in U.S. jurisdictions where cannabis was legalized for non-medical use (17.4%, 6.0%, 4.9%), followed by U.S. jurisdiction where non-medical cannabis use is illegal (13.7%, 5.8%, 2.9%), and lowest in Canada (8.1%, 4.4%, 2.1%). Vaping dried flower decreased from 2019 to 2018 in U.S. legal jurisdictions and Canada, while vaping cannabis oil and concentrates increased in all jurisdictions (p < 0.001). The odds of vaping all forms of products were higher among younger respondents (16-55 years), males, respondents with some college education, and persons with low-risk perceptions on daily cannabis vaping. In both ICPS surveys (2018 and 2019), cannabis oil was the most frequently vaped products, followed by dried flower, and concentrates. Detailed measures of product forms for cannabis vaping should be considered in future surveys.

Association of dietary patterns and food groups intake with multimorbidity: A prospective cohort study.

BACKGROUND: Although diet has been extensively studied in relation to individual chronic conditions, studies linking diet with multiple chronic conditions (multimorbidity) remained scarce. We aimed to undertake a comprehensive analysis evaluating associations of overall dietary patterns and specific food groups with long-term risk of multimorbidity. METHODS: The study included 348,290 participants from UK Biobank who completed eligible food frequency questionnaires (FFQ) and were not diagnosed with any of the 38 chronic or mental health conditions of interest at baseline (2006-2010). Dietary patterns were identified using exploratory factor analysis. Cox regression models were used to estimate corresponding hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: The median follow-up was 8.01 years, and 50,837 (14.60%) participants developed multimorbidity. Among the three identified dietary patterns, the Western Pattern was associated with an increased risk of multimorbidity (HRQ5 vs Q1 = 1.06, 95% CI: 1.03-1.09), while inverse associations were observed for moderate adherence to the White Meat Pattern (HRQ3vs Q1 = 0.97, 95% CI: 0.94-0.99) and highest adherence to the Prudent Pattern (HRQ5 vs Q1 = 0.92, 95% CI: 0.90-0.95). For specific food groups, more frequent intakes of processed meat and poultry were associated with higher risks of multimorbidity, whereas higher intake frequency of fish and more intakes of fruits and cereal were associated with decreased risks. CONCLUSION: Dietary patterns and specific food groups are associated with the risk of multimorbidity. These findings suggest the importance of considering dietary interventions in the prevention and management of multimorbidity.

Association between socioeconomic status and health behaviour change before and after non-communicable disease diagnoses: a multicohort study.

BACKGROUND: Behavioural risk factors of non-communicable diseases (NCDs) are socially patterned. However, the direction and the extent to which socioeconomic status (SES) influences behaviour changes before and after the diagnosis of NCDs is not clearly understood. We aimed to investigate the influence of SES on behaviour changes (physical inactivity and smoking) before and after the diagnosis of major NCDs. METHODS: In this multicohort study, we pooled individual-level data from six prospective cohort studies across 17 countries. We included participants who were diagnosed with either diabetes, cardiovascular disease, chronic lung disease, or cancer after recruitment. Participants were surveyed every 2 years. Education and total household wealth were used to construct SES. We measured behaviour changes as whether or not participants continued or initiated physical inactivity or smoking after NCD diagnosis. We used multivariable logistic regression models to estimate odds ratios (ORs), prevalence ratios (PRs), and 95% CIs for the associations between SES and continuation or initiation of unfavourable behaviours. FINDINGS: We included 8107 individuals recruited between March, 2002, and January, 2016. Over the 4-year period before and after NCD diagnosis, 886 (60·4%) of 1466 individuals continued physical inactivity and 1018 (68·8%) of 1480 participants continued smoking; 1047 (15·8%) of 6641 participants with physical activity before diagnosis initiated physical inactivity after diagnosis and 132 (2·0%) of 6627 non-smokers before diagnosis initiated smoking after diagnosis. Compared with participants with high SES, those with low SES were more likely to continue physical inactivity (244 [70·3%] of 347 vs 23 [50.0%] of 46; PR 1·41 [95% CI 1·05-1·99]; OR 2·28 [1·18-4·41]), continue smoking (214 [75·4%] of 284 vs 39 [60·9%] of 64; PR 1·27 [1·03-1·59]; OR 2·08 [1·14-3·80]), but also to initiate physical inactivity (188 [26·1%] of 720 vs 47 [7·4%] of 639; PR 3·59 [2·58-4·85]; OR 4·31 [3·02 - 6·14]). INTERPRETATION: Low SES was associated with continuing or initiating physical inactivity and continuing smoking after NCD diagnosis. Reducing socioeconomic inequality in health behaviour changes should be prioritised and integrated into NCD-prevention programmes. FUNDING: Zhejiang University and Fundamental Research Funds for the Central Universities.

Prevalence and correlates of cannabis use for medicinal reasons - An Australian cross-sectional study.

Objective: It is important to know the prevalence and source of medicinal cannabis use in the population because non-prescribed medicinal use of cannabis products places individuals at higher risk of harms. We estimated the prevalence and correlates of the use of cannabis for medicinal purposes in Australia, three years after Australians were given legal access. Design: Cross-sectional. Setting: The 2019 Australian National Drug Strategy Household Survey. Participants: Participants were 22,015 Australians aged 14 or above. Outcome measure: Self-reported cannabis use in the last 12 months for medicinal purposes only, both medicinal/recreational reasons, or recreationally only. Those who reported medicinal use were asked if it had been prescribed by a doctor. Prevalence estimates were weighted to the population and multinomial logistic regression examined the correlates. Results: The prevalence of any medicinal cannabis use in the past year was 2.6%. Only 0.8% of the sample reported using cannabis solely for medicinal reasons, 95.9% of whom did not have a prescription. A self-reported diagnosis of cancer was associated with medicinal use only. Self-reported chronic pain was associated with both medicinal only and medicinal/recreational use. Medicinal cannabis use was associated with opioids use. Conclusions: In 2019, the prevalence of cannabis use solely for medicinal reasons remains under 1%, was more common among people with specific medical conditions, but most individuals do not have a prescription. The prevalence of self-reported medicinal cannabis use in Australia is low and there is limited use of the legal pathway for medicinal cannabis.

Changes in patterns of youth multiple tobacco and/or e-cigarette product use in the US between 2014 and 2020: a multiple-group latent class analysis.

BACKGROUND: Multiple tobacco and e-cigarette product (MTEP) use, the concurrent use of two or more different types of tobacco and/or e-cigarettes products, is common among young people in the US. Changes in patterns of MTEP use among US youth between 2014 and 2020 were identified and the determinants of MTEP use were examined. METHODS: Four years of repeated cross-sectional data from the US National Youth Tobacco Survey of middle and high school students from grade 6 to 12 (Ntotal=77 402). Multigroup latent class analysis (LCA) was applied to the data series to allow for simultaneous identification of MTEP use patterns between 2014 and 2020. Logistic regression was used to predict class membership on demographic and tobacco-related variables. FINDINGS: Over the 7-year period, LCA identified three patterns: minimal/non-users (MNU: ~89.8%), mostly occasional e-cigarette and cigarette users (MOEC: ~9%) and polytobacco users (POLY: ~1.2%). From 2014 to 2020, MNU increased from 86.4% to 92% (p<0.05), while MOEC and POLY decreased from 11.2% to 7.9% and from 2.4% to 0.1%, respectively. The probability of regular e-cigarette use increased from 0 to 2.3% among MNU, 6% to 31.9% among MOEC and 29.6% to 67.6% among POLY (p<0.05). In binomial logistic regression, being male, in high school, non-heterosexual, living with someone who uses tobacco at home, having cognitive difficulties, having lower perceptions of tobacco's danger and exposure to tobacco marketing were associated with greater odds of MOEC and POLY than MNU. CONCLUSIONS: There was an increase in regular e-cigarette use in all three classes, but a corresponding decrease in the proportion of MTEP use. Public health interventions to discourage uptake of e-cigarettes, such as tighter restrictions on marketing to minors, are warranted and there is a need to consider disparities in the determinants of MTEP use.