ObjectiveTo review peer-reviewed evidence on heat-not-burn tobacco products (HnB), their secondhand emissions and use by humans; to identify differences between independent and industry-funded ...studies.Data sourcesMedline, Embase, PsycINFO, ProQuest, Scopus and Web of Science databases were searched up to 6 November 2017 for studies on HnB published after December 2009; reference lists were screened and other researchers contacted, yielding 637 records.Study selectionThirty-one publications on HnB secondhand emissions (n=16) or use by humans (n=15) were selected by two reviewers with excellent agreement (k=0.75).Data extractionData on authors’ affiliations, HnB products, secondhand emissions and human exposure were extracted by one reviewer. Two reviewers assessed the quality of experimental HnB studies using the Effective Public Health Practice Project tool.Data synthesisTwenty out of 31 studies were affiliated with tobacco industry. Studies on secondhand emissions varied by methodology, products and comparators. Compared with cigarettes, HnB delivered up to 83% of nicotine and reduced levels of harmful and potentially harmful toxicants by at least 62% and particulate matter by at least 75%. Experimental HnB use studies were limited to one product, reductions of human exposure to toxicants varied between 42% and 96%. HnB use suppressed urges to smoke, but participants rated HnB less satisfying than cigarettes. While limited by methodological heterogeneity, findings were largely similar for independent and industry-funded studies.ConclusionsStudies on HnB secondhand emissions and human use were heterogeneous and largely affiliated with the manufacturers. HnB exposed users and bystanders to toxicants, although at substantially lower levels than cigarettes.
Smoking is a major contributor to the disparity in life expectancy between those with and without a mental health condition. Previous work has found associations between individual conditions such as ...depression and current smoking, cigarette consumption and dependence, but did not compare a range of specific mental disorders. Using data from the nationally-representative Adult Psychiatric Morbidity Survey, we characterised trends in smoking prevalence in the general population in Great Britain and among those with and without mental health conditions for the period 1993–2014. We tested associations across different common mental health conditions (including depression, phobia, generalised anxiety and mixed anxiety and depression), in addition to personality conditions, and heaviness of smoking, desire to quit, perceived difficulty of remaining abstinent and successful cessation within the previous 12 months. Smoking prevalence among those without any mental health condition decreased from 29.3% in 1993 to 19.6% in 2014. Prevalence was higher among those with a condition but fell from 44.6% to 34.1%. Having a mental health condition was associated with current smoking, heavy smoking, difficulty remaining abstinent, desire to quit and perceived difficulty remaining abstinent. The same was found for all conditions individually but the strength and significance of the associations varied. Having any common mental health condition was associated with lower odds of smoking cessation—but not after adjustment for heavy smoking. We found no significant associations between individual conditions and cessation outcomes, however. In summary, smoking prevalence among people with common mental health conditions remained around 50% higher than among those without despite their higher desire to quit. Adequately addressing higher dependence could support cessation and contribute to narrowing health disparities.
•First population-level study of smoking, quitting and mental health within the UK•From 1993 to 2014, smoking prevalence fell in those with and without a condition.•Prevalence remained >50% higher among those with a mental health condition.•Those with conditions were more likely to smoke but had higher desire to quit.•Their lower odds of cessation diminished after adjustment for heavy smoking.
Aims
To use a unique longitudinal data set to assess the association between e‐cigarette use while smoking with smoking cessation attempts, cessation and substantial reduction, taking into account ...frequency of use and key potential confounders.
Design
Web‐based survey, baseline November/December 2012, 1‐year follow‐up in December 2013.
Setting
Great Britain.
Participants
National general population sample of 4064 adult smokers, with 1759 (43%) followed‐up.
Measurements
Main outcome measures were cessation attempt, cessation and substantial reduction (≥50% from baseline to follow‐up) of cigarettes per day (CPD). In logistic regression models, cessation attempt in the last year (analysis n = 1473) and smoking status (n = 1656) at follow‐up were regressed on to baseline e‐cigarette use (none, non‐daily, daily) while adjusting for baseline socio‐demographics, dependence and nicotine replacement (NRT) use. Substantial reduction (n = 1042) was regressed on to follow‐up e‐cigarette use while adjusting for baseline socio‐demographics and dependence and follow‐up NRT use.
Findings
Compared with non‐use, daily e‐cigarette use at baseline was associated with increased cessation attempts odds ratio (OR) = 2.11, 95% confidence interval (CI) = 1.24–3.58, P = 0.006, but not with cessation at follow‐up (OR = 0.62, 95% CI = 0.28–1.37, P = 0.24). Non‐daily use was not associated with cessation attempts or cessation. Daily e‐cigarette use at follow‐up was associated with increased odds of substantial reduction (OR = 2.49, 95% CI = 1.14–5.45, P = 0.02), non‐daily use was not.
Conclusions
Daily use of e‐cigarettes while smoking appears to be associated with subsequent increases in rates of attempting to stop smoking and reducing smoking, but not with smoking cessation. Non‐daily use of e‐cigarettes while smoking does not appear to be associated with cessation attempts, cessation or reduced smoking.
Background and aims
E‐cigarettes (EC) and nicotine replacement therapy (NRT) are less harmful than smoking, but misperceptions of relative harm are common. Aims were to (1) assess nicotine knowledge ...and perceptions of: harm of EC and NRT relative to smoking, addictiveness of EC relative to smoking, and change in harm to user if smoking replaced with EC; (2) define associations of these perceptions with respondent characteristics including nicotine knowledge; and (3) explore perceived main harms of EC and whether these differ by vaping status.
Design
Analyses were: (1) frequencies; (2) logistic regressions of perceptions of relative harm, addictiveness and change in harm onto demographics, smoking and vaping status and nicotine knowledge (attributing cancer or health risks of smoking to nicotine); and (3) frequencies and χ2 statistics.
Setting and participants
Participants were smokers and recent ex‐smokers from one wave (September 2017) of a longitudinal online survey in the United Kingdom (n = 1720).
Measurements
Demographics included gender, age, smoking status, vaping status and income. Survey questions collected data on nicotine knowledge and harm perceptions of different products; the relative harm perceptions of NRT, EC and tobacco cigarettes; and perceived main harms of EC.
Findings
Relative to smoking, 57.3% perceived EC and 63.4% NRT to be less harmful; 25.4% perceived EC to be less addictive; and 32.2% thought replacing smoking with EC reduced health harms a great deal. Participants were less likely to endorse these beliefs if they had never vaped, and participants who had inaccurate nicotine knowledge were less likely to endorse all these beliefs apart from the addictiveness of EC. The main concerns about EC were a lack of research (48.3%), regulation or quality control (37.8%) and harmfulness of chemicals (41.6%).
Conclusions
Large proportions of UK smokers and ex‐smokers overestimate the relative harmfulness of e‐cigarettes and nicotine replacement therapy compared with smoking; misattributing smoking harms to nicotine is associated with increased misperceptions.
Highlights • A cohort of smokers and ex-smokers was followed over a period of two years. • Perceived harm of electronic cigarettes relative to cigarettes increased over time. • Smoking cessation ...ande-cigarette use predicted subsequent perceived relative harm. • Perceived relative harm predicted subsequent use of e-cigarettes in non-users.
E-cigarettes can be categorized into two basic types, (1) cigalikes, that are disposable or use pre-filled cartridges and (2) tanks, that can be refilled with liquids. The aims of this study were to ...examine: (1) predictors of using the two e-cigarette types, and (2) the association between type used, frequency of use (daily vs. non-daily vs. no use), and quitting.
Online longitudinal survey of smokers in Great Britain was first conducted in November 2012. Of 4064 respondents meeting inclusion criteria at baseline, this study included (N = 1643) current smokers followed-up 1 year later. Type and frequency of e-cigarette use were measured at follow-up.
At follow-up, 64% reported no e-cigarette use, 27% used cigalikes, and 9% used tanks. Among e-cigarette users at follow-up, respondents most likely to use tanks versus cigalikes included: 40-54 versus 18-24 year olds and those with low versus moderate/high education. Compared to no e-cigarette use at follow-up, non-daily cigalike users were less likely to have quit smoking since baseline (P = .0002), daily cigalike or non-daily tank users were no more or less likely to have quit (P = .3644 and P = .4216, respectively), and daily tank users were more likely to have quit (P = .0012).
Whether e-cigarette use is associated with quitting depends on type and frequency of use. Compared with respondents not using e-cigarettes, daily tank users were more likely, and non-daily cigalike users were less likely, to have quit. Tanks were more likely to be used by older respondents and respondents with lower education.
Background and aims
In Great Britain, cannabis and tobacco are commonly used substances, both independently and together. Use of either substance is associated with mental health problems, but ...prevalence of co‐use within these populations is unknown. We aimed to (1) estimate prevalence of cannabis use, frequency of use and routes of administration (ROA) among tobacco smokers and non‐smokers and (2) investigate mental health problems among non‐users, tobacco‐only, cannabis‐only and co‐users of both substances.
Design
Cross‐sectional national on‐line survey (Action on Smoking and Health) fielded in February–March 2020.
Setting
Great Britain.
Participants
Adults in Great Britain aged ≥ 18 years (n = 12 809)
Measurements
Tobacco use status smoker (daily or non‐daily) or non‐smoker (never or ex‐smoker), cannabis use frequency (never to daily), detailed ROAs of cannabis, self‐reported treatment for mental health disorders (depression, anxiety and any). Statistically weighted prevalence estimates were computed to ensure representativeness. Correlates were assessed using χ2 tests and logistic regression.
Findings
In Great Britain in 2020, 7.1% of the sample had used cannabis in the past year. Tobacco smokers had greater odds of using cannabis in the past year (21.9%) and using cannabis daily (8.7%) than non‐smokers past‐year: 4.7%; adjusted odds ratio (aOR) = 10.07, 95% confidence interval (CI) = 8.4–12.0; daily: 0.7%; aOR = 24.6, 95% CI = 18.0–33.6). Co‐administration with tobacco was common (46.2% of non‐smokers, 80.8% of tobacco smokers). Co‐users reported the highest prevalence of any treatment for mental health problems (54.2%) in comparison to cannabis‐only (45.8%), tobacco‐only (33.2%) and non‐users (22.7%; all P ≤ 0.05).
Conclusion
Approximately one in 13 adults in Great Britain reports having used cannabis in the past year, approximately four times as many among cigarette smokers as non‐smokers. Co‐administration of cannabis and tobacco, via smoking, appears to be common, including among self‐identified non‐smokers. Mental health problems appear to be particularly common among dual users.
To reduce inequalities between individuals with and without mental health problems, a better understanding is required of triggers and success of quit attempts among the third of smokers with mental ...health problems. The aim was to assess whether there are differences by mental health status in (i) triggers for quit attempts, (ii) use of evidence-based support (iii) and quit success.
Monthly cross-sectional household surveys of representative samples of the adult population in England. In 2016/2017, 40,831 adults were surveyed; 1956 who had attempted to stop smoking cigarettes in the past year were included. Logistic regressions assessed associations between mental health (ever diagnosis, past-year treatment, past-month distress), triggers, support used and quit success, adjusting for sociodemographic and smoking characteristics.
Concern about future health, current health problems and expense of smoking were the most common triggers overall. For respondents with an ever diagnosis, past-year treatment or serious past-month distress, quit attempts were more frequently triggered by current health problems. Non-evidence-based support and e-cigarettes were used most often, and this did not differ by mental health status. Respondents with an ever diagnosis and moderate or serious distress were less likely to have used non-prescription nicotine replacement therapy (NRT). Respondents with past-year treatment or serious distress were more likely to have used prescription medication/behavioural support. Quit success did not differ by mental health status. Compared with non-evidence-based support, non-prescription NRT conferred no benefit. There was some evidence that prescription medication/behavioural support was beneficial (depending on outcome and adjustment, ORs ranged from 1.46, 95% CI 0.92-2.31, to 1.69, 1.01-2.86). E-cigarettes were associated with higher success rates after adjustment for different indicators of mental health (ORs ranged from 2.21, 1.64-2.98, to 2.25, 1.59-3.18).
Smokers with mental health problems were more likely to have attempted to quit because of health problems and were more likely to have used gold standard support (medication and behavioural support) than other smokers. E-cigarettes were strongly associated with increased success and were used similarly by those with and without mental health problems, indicating that improved uptake of e-cigarettes for smoking cessation among smokers with mental health problems could help address inequalities.
Tobacco control strategies have engendered overall declines in smoking; however, a large gap remains between people with and without mental health problems, causing substantial health inequalities. ...Population-level information on barriers and opportunities for improvements is scarce. We aimed to assess mental health status of cigarette smokers and recent ex-smokers ('past-year smokers') in England, and smoking and harm reduction behaviour and quit attempts by mental health status.
Data were collected from 5637 current and 434 recent ex-smokers in 2016/17 in household surveys of representative samples of adults. We calculated weighted prevalence of different indicators of mental health problem: a) ever diagnosis, b) none, moderate, serious past-month distress, c) past-year treatment. We compared weighted smoking status, cigarette type, dependence, motivation to stop smoking, cutting down, use of nicotine replacement therapy or e-cigarettes, short-term abstinence, and quit attempts according to mental health status.
Among past-year smokers: 35.9% ever had a diagnosis; 24.3% had experienced moderate, an additional 9.7% serious, past-month distress; 21.9% had had past-year treatment. Those with an indication of a mental health problem were more highly dependent and more likely to smoke roll-your-own cigarettes but also more likely to be motivated to stop smoking, to cut down, use nicotine replacement therapy or e-cigarettes and to have attempted to quit in the past year.
About a third of cigarette smokers in England have mental health problems. Interventions should address their increased dependence and leverage higher prevalence of harm reduction behaviours, motivation to stop and attempts to stop smoking.
Vaping in Pregnancy: A Systematic Review Calder, Robert; Gant, Eleanor; Bauld, Linda ...
Nicotine & tobacco research,
08/2021, Letnik:
23, Številka:
9
Journal Article
Recenzirano
Odprti dostop
Smoking in pregnancy increases the risk of negative health outcomes. Vaping can be effective for smoking cessation in nonpregnant populations. We conducted a systematic review of vaping in pregnancy, ...covering prevalence, patterns of use, reasons for use, smoking cessation, and health effects.
Five academic databases were searched on 17 February 2020. Studies reporting prevalence, patterns, reasons, cessation, or health effects of vaping in pregnancy were included; animal and in vitro studies were excluded. A narrative review was used, with risk of bias assessed using Hoy and colleague's tool, the Newcastle-Ottawa scale, and the Consolidated Criteria for reporting Qualitative Research.
Twenty-three studies were identified: 11 survey, 7 qualitative, 3 cohort, and 2 secondary analyses of randomized clinical trials. Prevalence of vaping in pregnancy (four studies) was between 1.2% and 7.0% overall, and <1% among nonsmokers. Twelve studies reported patterns of use, but findings were inconsistent. Twelve of 14 studies asking why pregnant women vaped reported that most vaped to reduce or quit smoking. Mixed findings were reported from six studies on smoking cessation. Of three studies with health-related outcomes, two were underpowered and one reported similar birthweights for babies born to nonsmokers and women who vaped, with both higher (p < .0001) than the birthweight of babies born to smokers.
There were insufficient data to draw conclusions about prevalence, patterns, and effects of vaping in pregnancy on smoking cessation. The limited literature suggests that vaping in pregnancy has little or no effect on birthweight.
Smoking causes many negative health outcomes for pregnant women and to babies born to people who smoke. There remains a paucity of research on the effects of vaping in pregnancy. There is, however, the potential for vaping products to reduce the negative health outcomes associated with smoking. More research is needed to develop an evidence base in this area.
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