scholarly journals Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1099 ◽  
Author(s):  
Maryam Abo-Tabik ◽  
Nicholas Costen ◽  
John Darby ◽  
Yael Benn
Keyword(s):  
Smoking Cessation ◽  
Control Theory ◽  
External Action ◽  
Learning Model ◽  
Theory Model ◽  
Daily Routine ◽  
Major Health Problem ◽  
Quit Smoking ◽  
Nicotine Level ◽  
The Uk

Nicotine consumption is considered a major health problem, where many of those who wish to quit smoking relapse. The problem is that overtime smoking as behaviour is changing into a habit, in which it is connected to internal (e.g., nicotine level, craving) and external (action, time, location) triggers. Smoking cessation apps have proved their efficiency to support smoking who wish to quit smoking. However, still, these applications suffer from several drawbacks, where they are highly relying on the user to initiate the intervention by submitting the factor the causes the urge to smoke. This research describes the creation of a combined Control Theory and deep learning model that can learn the smoker’s daily routine and predict smoking events. The model’s structure combines a Control Theory model of smoking with a 1D-CNN classifier to adapt to individual differences between smokers and predict smoking events based on motion and geolocation values collected using a mobile device. Data were collected from 5 participants in the UK, and analysed and tested on 3 different machine learning model (SVM, Decision tree, and 1D-CNN), 1D-CNN has proved it’s efficiency over the three methods with average overall accuracy 86.6%. The average MSE of forecasting the nicotine level was (0.04) in the weekdays, and (0.03) in the weekends. The model has proved its ability to predict the smoking event accurately when the participant is well engaged with the app.

scholarly journals Seasonal variation and change trends for quit smoking: evidence from Internet search engine query data

2019 ◽  
Author(s):  
Fang Wang ◽  
Dingtao Hu ◽  
Xiaoqi Lou ◽  
Nana Meng ◽  
Qiaomei Xie ◽  
...  
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Seasonal Variation ◽  
New Zealand ◽  
Google Trends ◽  
Internet Search ◽  
Quit Smoking ◽  
Significant Seasonal Variation ◽  
The Usa ◽  
The Uk

Abstract Background: The outcomes of smoking have generated considerable clinical interest in recent years. Although people from different countries are more interested to the topic of quit smoking during the winter, few studies have tested this hypothesis. The current study aimed to quantify public interest in quit smoking via Google.Methods: We use Google Trends to obtain the Internet search query volume for terms relating to quit smoking for major northern and southern hemisphere countries in this research. Normally search volumes for the term “quit smoking + stop smoking + smoking cessation” were retrieved within the USA, the UK, Canada, Ireland, New Zealand and Australia from January 2004 to December 2018. Seasonal effects were investigated using cosinor analysis and seasonal decomposition of time series models.Results: Significant seasonal variation patterns in those search terms were revealed by cosinor analysis and demonstrated by the evidence from Google Trends analysis in the representative countries including the USA (pcos = 2.36×10-7), the UK (pcos < 2.00×10-16), Canada (pcos < 2.00×10-16), Ireland (pcos <2.00×10-16) ,Australia (pcos = 5.13×10-6) and New Zealand (pcos = 4.87×10-7). Time series plots emphasized the consistency of seasonal trends with peaks in winter / late autumn by repeating in nearly all years. The overall trend of search volumes, observed by dynamic series analysis, declined from 2004 to 2018.Conclusions: The preliminary evidence from Google Trends search tool showed a significant seasonal variation and decreasing trend for the RSV of quit smoking. Our novel findings in smoking cessation epidemiology need to be verified with further studies, and the mechanisms underlying these findings must be clarified.

scholarly journals Seasonal variation and change trends for quit smoking: evidence from Internet search engine query data

2020 ◽  
Author(s):  
Dingtao Hu ◽  
Xiaoqi Lou ◽  
Nana Meng ◽  
Qiaomei Xie ◽  
Man Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Seasonal Variation ◽  
New Zealand ◽  
Google Trends ◽  
Quit Smoking ◽  
Significant Seasonal Variation ◽  
Quitting Smoking ◽  
The Usa ◽  
The Uk

Abstract Background: The outcomes of smoking have generated considerable clinical interest in recent years. Although people from different countries are more interested in the topic of quit smoking during the winter, few studies have tested this hypothesis. The current study aimed to quantify public interest in quitting smoking via Google.Methods: We use Google Trends to obtain the Internet search query volume for terms relating to quit smoking in major northern and southern hemisphere countries in this research. Normally search volumes for the term “quit smoking + stop smoking + smoking-cessation” were retrieved within the USA, the UK, Canada, Ireland, New Zealand and Australia from January 2004 to December 2018. Seasonal effects were investigated using cosinor analysis and seasonal decomposition of time series models.Results: Significant seasonal variation patterns in those search terms were revealed by cosinor analysis and demonstrated by the evidence from Google Trends analysis in the representative countries including the USA (pcos = 2.36×10-7), the UK (pcos < 2.00×10-16), Canada (pcos < 2.00×10-16), Ireland (pcos <2.00×10-16) ,Australia (pcos = 5.13×10-6) and New Zealand (pcos = 4.87×10-7). Time series plots emphasized the consistency of seasonal trends with peaks in winter / late autumn by repeating in nearly all years. The overall trend of search volumes for quitting smoking, observed by dynamic series analysis, has declined from 2004 to 2018.Conclusions: The preliminary evidence from Google Trends search tool showed a significant seasonal variation and a decreasing trend for the RSV of quit smoking. Our novel findings in smoking-cessation epidemiology need to be verified with further studies, and the mechanisms underlying these findings must be clarified.

scholarly journals An Evaluation of the Knowledge and Perceptions of Pharmacy Staff and Pre-Registration Students of E-Cigarettes Use: A Systematic Review

2021 ◽  
Vol 14 ◽  
pp. 1179173X2110168
Author(s):  
Ravina Barrett ◽  
Hajar Aldamkhi
Keyword(s):  
Smoking Cessation ◽  
Community Pharmacists ◽  
Relevant Information ◽  
Pharmacy Staff ◽  
Eligibility Criteria ◽  
Quit Smoking ◽  
Comprehensive Search ◽  
The Uk ◽  
And Training ◽  
Unclear Risk

Introduction: Pharmacy staff are a trusted source of advice on the safe and appropriate use of medicines and devices. Retail pharmacies deliver smoking cessation services and sell e-cigarettes in the UK. This review asks ‘what knowledge, experience and ability do staff have to support e-cigarette users to quit smoking’. Methods: A systematic literature search was undertaken drawn on predefined eligibility criteria and a comprehensive search strategy following the PRISMA guideline. Eligible papers reported survey-research published in English from 2015 to 2020. PubMed, Google Scholar, OVID, EMBASE and MEDLINE Databases were searched. No restrictions on study design or language were applied. Two reviewers independently screened for inclusion/exclusion and then extracted the relevant information from the articles for synthesis. Results: Of 12 potentially eligible full-text studies, 1 was a duplicate, 7 were excluded as per eligibility criteria. Four papers were finally included in this literature review. Two studies indicated that pharmacy staff are less confident in giving advice on e-cigarette use. Knowledge on the adverse effects of e-cigarettes compared to traditional smoking cessation aids remain unclear. In one study, 42% of community pharmacists did not believe that e-cigarettes could be used for smoking cessation. Three studies identified need for specific regulations and professional support. The overall certainty of the evidence is ‘low’ or ‘very low’, with moderate levels of bias. Conclusion: Pharmacists may be well placed to implement e-cigarette smoking cessation interventions, but most practitioners lacked knowledge and ability to support these customers citing unclear risk of harm. Pharmacists felt secure in recommending traditional cessation tools. Further regulation, guidelines and training is needed. Findings may be less generalizable in countries where e-cigarettes are banned. Their extent of knowledge, experience and ability to support users of e-cigarettes within their community to quit smoking is lacking.

scholarly journals Is Weight Gain Inevitable for Patients Trying to Quit Smoking as Part of Cardiac Rehabilitation?

2020 ◽  
Vol 17 (22) ◽  
pp. 8565
Author(s):  
Ahmad Salman ◽  
Patrick Doherty
Keyword(s):  
Physical Activity ◽  
Smoking Cessation ◽  
Body Weight ◽  
Weight Gain ◽  
Cardiac Rehabilitation ◽  
Self Report ◽  
Routine Practice ◽  
Quit Smoking ◽  
Quitting Smoking ◽  
The Uk

The literature is uncertain about the extent to which those who attend cardiac rehabilitation (CR) gain weight while trying to quit smoking. This study aimed to determine the extent of CR-based smoking cessation provision and whether CR, as delivered in routine practice, is associated with helping patients quit smoking and avoid weight gain. Data from the UK National Audit of Cardiac Rehabilitation database, between April 2013 and March 2016, were used. Smoking status is categorised as smokers and quitters assessed by patient self-report. Outcomes included body weight, blood pressure, depression, and physical activity. A multiple linear regression model was constructed to understand the effect of continuing smoking or quitting smoking on CR outcomes. CR outcome scores were adjusted by the baseline CR score for each characteristic. An e-survey collected information about the smoking cessation support offered to patients attending CR. A total of 2052 smokers (58.59 ± 10.49 years, 73.6% male) and 1238 quitters (57.63 ± 10.36 years, 75.8% male) were analysed. Overall, 92.6% of CR programmes in the United Kingdom (UK) offer smoking cessation support for CR attenders. Quitting smoking during CR was associated with a mean increase in body weight of 0.4 kg, which is much less than seen in systematic reviews. Quitters who attended CR also had better improvements in physical activity status and psychosocial health measures than smokers. As delivered in routine practice, CR programmes in the UK adhere to the guideline recommendations for smoking cessation interventions, help patients quit smoking, and avoid weight gain on completion of CR.

Has the SARS-CoV-2 outbreak had an impact on uptake of digital cessation support in UK smokers? An interrupted time series analysis (Preprint)

2020 ◽  
Author(s):  
Olga Perski ◽  
Aleksandra Herbec ◽  
Lion Shahab ◽  
Jamie Brown
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Secondary Analysis ◽  
Interrupted Time Series ◽  
Step Change ◽  
Outcome Variable ◽  
Primary Analysis ◽  
Increasing Trend ◽  
The Uk ◽  
Temporary Closure

BACKGROUND The SARS-CoV-2 outbreak may motivate smokers to attempt to stop in greater numbers. However, given the temporary closure of UK stop smoking services and vape shops, smokers attempting to quit may instead seek out digital support, such as websites and smartphone apps. OBJECTIVE We examined, using an interrupted time series approach, whether the SARS-CoV-2 outbreak has been associated with a step change or increasing trend in UK downloads of an otherwise popular smoking cessation app, Smoke Free. METHODS Data were from daily and non-daily adult smokers in the UK who had downloaded the Smoke Free app between 1 January 2020 and 31 March 2020 (primary analysis) and 1 January 2019 and 31 March 2020 (secondary analysis). The outcome variable was the number of downloads aggregated at the 12-hourly (primary analysis) or daily level (secondary analysis). The explanatory variable was the start of the SARS-CoV-2 outbreak, operationalised as 1 March 2020 (primary analysis) and 15 January 2020 (secondary analysis). Generalised Additive Mixed Models adjusted for relevant covariates were fitted. RESULTS Data were collected on 45,105 (primary analysis) and 119,881 (secondary analysis) users. In both analyses, there was no evidence for a step change or increasing trend in downloads attributable to the start of the SARS-CoV-2 outbreak. CONCLUSIONS In the UK, between 1 January 2020 and 31 March 2020, and between 1 January 2019 and 31 March 2020, there was no evidence that the SARS-CoV-2 outbreak has been associated with a surge in downloads of a popular smoking cessation app. CLINICALTRIAL osf.io/zan2s

Facebook usage, participation patterns, and social support from Facebook activity among smokers with mobility impairments

2021 ◽  
Author(s):  
Belinda Borrelli ◽  
Romano Endrighi ◽  
Lisa M Quintiliani ◽  
Rosemary B Hughes ◽  
Sherry Pagoto
Keyword(s):  
Social Support ◽  
Online Survey ◽  
Daily Routine ◽  
Mobility Impairments ◽  
Social And Emotional ◽  
Quit Smoking ◽  
Patterns Of Use ◽  
Motivation To Quit ◽  
Facebook Use ◽  
Motivation To Quit Smoking

Abstract People with mobility impairments (MIs; use assistive devices to ambulate) have twice the smoking prevalence versus the general population. A Facebook intervention could improve reach to smokers with MIs, but use and patterns of use are unknown. The study examined: (a) Facebook use and relationship with Facebook-based social support and (b) whether Facebook use differs by motivation to quit smoking. Participants (N = 510; 56.3% female, mean age = 42.4 years) were recruited via a recruitment company to complete a one-time online survey assessing motivation to quit within 30 days, Facebook use (Facebook Activities Scale), reasons for use (Facebook Motives Scale), attitudes (Facebook Intensity Scale), and social support (Facebook Measure of Social Support). The vast majority said that Facebook is part of their daily routine (92.9%), 83% checked Facebook &gt;once a day, and 69% spent &gt;30 min/day on Facebook. Facebook was used to connect with similar others (68.4%), participate in groups (72.9%), decrease loneliness (69.2%), and obtain health information (62.5%); 88% said that they would join a Facebook program to help them quit smoking. A greater number of Facebook friends (rs = .18–.22, p &lt; .001) and greater Facebook use (rs = .20 to rs = .59; p &lt; .001) were correlated with greater perceived social and emotional support. Those motivated to quit posted more frequently (odds ratio [OR] = 1.56, 95% confidence interval [CI] = 1.10, 2.22) and were more likely to indicate that they would join a Facebook group for smoking cessation (OR = 4.15, 95% CI = 2.05, 8.38) than those not motivated. Facebook could circumvent disability and environmental barriers to accessing cessation among this health disparity population.

scholarly journals Assessment of the Wearability of Facemasks against Air Pollution in Primary School-Aged Children in London

2020 ◽  
Vol 17 (11) ◽  
pp. 3935 ◽  
Author(s):  
Naomi R Smart ◽  
Claire J Horwell ◽  
Trevor S Smart ◽  
Karen S Galea
Keyword(s):  
Air Pollution ◽  
Primary School ◽  
Primary School Children ◽  
Perceived Fit ◽  
Major Health Problem ◽  
Airborne Pollutants ◽  
Main Complaint ◽  
Running Activity ◽  
The Face ◽  
The Uk

Air pollution is a major health problem and children are particularly vulnerable to the adverse effects. Facemasks are one form of protection but, to be effective, they need to filter out airborne pollutants, fit the face well and be wearable. In this pilot study, we assess the perceived wearability of three facemasks (Vogmask, TuHao and ReSpimask) marketed in the UK as being designed to protect children against exposure to air pollution. Twenty-four primary school children wore each facemask during a standardised walking and running activity. After each activity, the children were asked to rate facemask wearability in terms of parameters, such as perceived comfort, hotness, breathability and fit. At the end of the trial, the children compared and identified their preferred facemask. The main complaint about the facemasks was the children’s faces being too hot. The ReSpimask was most frequently reported as being perceived to be the hardest to breathe through. The TuHao facemask was the only adjustable strap mask assessed but was reported to be difficult to adjust. Facemasks with a nose clip were frequently rated highest for fit (TuHao and Vogmask). The patterned, cloth fabric Vogmask had significantly higher ratings for appearance and perceived fit. The results show children’s perceptions of facemasks are highly affected by the facemask’s design, hotness and perceived breathability. By making children’s facemasks more appealing, breathable, cooler and improving their fit, wearability may be improved.

A smoking cessation programme conducted through dental practices in the UK

BDJ ◽  
1998 ◽  
Vol 185 (6) ◽  
pp. 299-303 ◽  
Author(s):  
S E Smith ◽  
K A Warnakulasuriya ◽  
C Feyerabend ◽  
M Belcher ◽  
D J Cooper ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Smoking Cessation Programme ◽  
Dental Practices ◽  
The Uk

scholarly journals Associations between Practitioner Personality and Client Quit Rates in Smoking Cessation Behavioural Support Interventions

2017 ◽  
Vol 13 (2) ◽  
pp. 103-109 ◽  
Author(s):  
Heather L. Gainforth ◽  
Sarita Y. Aujla ◽  
Emma Beard ◽  
Emma Croghan ◽  
Robert West
Keyword(s):  
Smoking Cessation ◽  
Outcome Measure ◽  
Success Rates ◽  
Specific Training ◽  
Five Dimensions ◽  
Quit Smoking ◽  
Stop Smoking ◽  
Random Intercept ◽  
Stop Smoking Services ◽  
Multi Level

Introduction:There is wide variation in the success rates of practitioners employed to help smokers to stop, even once a range of potential confounding factors has been taken into account.Aim:This paper examined whether personality characteristics of practitioners might play a role success rates.Methods:Data from 1,958 stop-smoking treatment episodes in two stop-smoking services (SSS) involving 19 stop-smoking practitioners were used in the analysis. The outcome measure was clients’ biochemically verified quit status 4 weeks after the target quit date. The five dimensions of personality, as assessed by the Ten-Item Personality Inventory, were included as predictor variables: openness, conscientiousness, agreeableness, extraversion, and neuroticism. A range of client and other practitioner characteristics were used as covariates. A sensitivity analysis was conducted to determine if managers' ratings of practitioner personality were also associated with clients’ quit status.Results:Multi-level random intercept models indicated that clients of practitioners with a higher extraversion score had greater odds of being abstinent at four weeks (self-assessed: OR = 1.10, 95% CI = 1.01–1.19; manager-assessed: OR = 1.32, 95% CI = 1.21–1.44).Conclusions:More extraverted stop smoking practitioners appear to have greater success in advising their clients to quit smoking. Findings need to be confirmed in larger practitioner populations, other SSS, and in different smoking cessation contexts. If confirmed, specific training may be needed to assist more introverted stop smoking practitioners.

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