Leonie S. Brose

ORCID: 0000-0001-6503-6854
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About
Contact & Profiles
Research Areas
  • Smoking Behavior and Cessation
  • Behavioral Health and Interventions
  • Obesity, Physical Activity, Diet
  • Health disparities and outcomes
  • Health, psychology, and well-being
  • Substance Abuse Treatment and Outcomes
  • Air Quality and Health Impacts
  • School Health and Nursing Education
  • Health Promotion and Cardiovascular Prevention
  • Global Public Health Policies and Epidemiology
  • Health Policy Implementation Science
  • Consumer Attitudes and Food Labeling
  • Obesity and Health Practices
  • Sexuality, Behavior, and Technology
  • COVID-19 and Mental Health
  • Cannabis and Cannabinoid Research
  • Homelessness and Social Issues
  • Media Influence and Health
  • Noise Effects and Management
  • Employment and Welfare Studies
  • Nicotinic Acetylcholine Receptors Study
  • Nutritional Studies and Diet
  • Innovations in Medical Education
  • Retinal Diseases and Treatments
  • Health and Wellbeing Research

King's College London
2016-2025

Spectrum Brands (United Kingdom)
2021-2025

Government of Western Australia Department of Health
2023

Public Health England
2019-2023

Spectrum Research (United States)
2022-2023

University of Leicester
2023

Sheffield Hallam University
2021

Heart Research UK
2021

UK Centre for Tobacco & Alcohol Studies
2011-2020

University College London
2011-2020

Introduction:E-cigarettes can be categorized into two basic types, (1) cigalikes, that are disposable or use pre-filled cartridges and (2) tanks, refilled with liquids. The aims of this study were to examine: predictors using the e-cigarette association between type used, frequency (daily vs. non-daily no use), quitting.

10.1093/ntr/ntv078 article EN cc-by Nicotine & Tobacco Research 2015-04-20

To use a unique longitudinal data set to assess the association between e-cigarette while smoking with cessation attempts, and substantial reduction, taking into account frequency of key potential confounders.Web-based survey, baseline November/December 2012, 1-year follow-up in December 2013.Great Britain.National general population sample 4064 adult smokers, 1759 (43%) followed-up.Main outcome measures were attempt, reduction (≥50% from follow-up) cigarettes per day (CPD). In logistic...

10.1111/add.12917 article EN Addiction 2015-04-21

Media presentations of e-cigarettes may affect perception the devices which influence use.

10.1016/j.drugalcdep.2015.10.014 article EN cc-by Drug and Alcohol Dependence 2015-10-25

A consistent approach using standardised items to assess e-cigarette use in both youth and adult populations will aid cross-survey cross-national comparisons of the effect (and tobacco) policies improve our understanding population health impact use. Focusing on behaviour, we propose a set items, discuss their utility potential adaptation, highlight constructs that researchers should avoid without further item development. Reliable valid strengthen emerging science inform knowledge synthesis...

10.1136/tobaccocontrol-2016-053541 article EN Tobacco Control 2017-06-17

Smoking is a major contributor to the disparity in life expectancy between those with and without mental health condition. Previous work has found associations individual conditions such as depression current smoking, cigarette consumption dependence, but did not compare range of specific disorders. Using data from nationally-representative Adult Psychiatric Morbidity Survey, we characterised trends smoking prevalence general population Great Britain among for period 1993–2014. We tested...

10.1016/j.addbeh.2018.10.011 article EN cc-by Addictive Behaviors 2018-10-10

Abstract Background and aims E‐cigarettes (EC) nicotine replacement therapy (NRT) are less harmful than smoking, but misperceptions of relative harm common. Aims were to (1) assess knowledge perceptions of: EC NRT addictiveness change in user if smoking replaced with EC; (2) define associations these respondent characteristics including knowledge; (3) explore perceived main harms whether differ by vaping status. Design Analyses were: frequencies; logistic regressions harm, onto demographics,...

10.1111/add.14502 article EN cc-by Addiction 2019-01-03

The UK government is consulting on banning disposable e-cigarettes. This study aimed to describe trends in e-cigarette use among adults Great Britain since 2021 and establish who would currently be affected by a ban disposables. Nationally-representative monthly cross-sectional survey. We analysed data from 69,973 surveyed between January August 2023. estimated time the weighted prevalence of current sociodemographic characteristics smoking status. From 2023, grew 0.1 % 4.9 %. rise was...

10.1016/j.puhe.2023.12.024 article EN cc-by Public Health 2024-01-24

<h3>Background</h3> The English network of stop-smoking services (SSSs) is among the best-value life-preserving clinical intervention in UK NHS and internationally renowned. However, success varies considerably across services, making it important to examine factors that influence their effectiveness. <h3>Methods</h3> Data from 126 890 treatment episodes 24 SSSs 2009–10 were used assess association between characteristics rates, adjusting for key smoker characteristics. Treatment examined...

10.1136/thoraxjnl-2011-200251 article EN Thorax 2011-06-27

Smoking is more prevalent among people with depression. Depression may make cessation difficult and affect depression symptoms. The aims of this study were to assess the associations between (1) baseline 1-year smoking abstinence (2) change in Observational using data collected routinely a clinic Czech Republic from 2008 2014. Aim 1: N = 3775 patients; 14.3% reported mild 15.4% moderate/severe levels measured Beck's Inventory (BDI-II). Logistic regressions assessed if level predicted...

10.1007/s12160-016-9869-6 article EN cc-by Annals of Behavioral Medicine 2016-12-29

While some smokers use e-cigarettes and stop smoking, a substantial proportion try later discontinue or them concurrently with smoking (current dual users). The aim was to assess factors associated ongoing e-cigarette discontinuation among smokers.

10.1016/j.drugalcdep.2017.01.002 article EN cc-by Drug and Alcohol Dependence 2017-02-15

In Great Britain, cannabis and tobacco are commonly used substances, both independently together. Use of either substance is associated with mental health problems, but prevalence co-use within these populations unknown. We aimed to (1) estimate use, frequency use routes administration (ROA) among smokers non-smokers (2) investigate problems non-users, tobacco-only, cannabis-only co-users substances.Cross-sectional national on-line survey (Action on Smoking Health) fielded in February-March...

10.1111/add.15381 article EN Addiction 2020-12-21

<ns3:p><ns3:bold>Background</ns3:bold></ns3:p><ns3:p>The Smoking and Alcohol Toolkit Study (STS/ATS) in England has delivered timely insights to inform evaluate strategies aimed at reducing tobacco smoking- alcohol-related harm. From the end of 2020 until least 2024 STS/ATS is expanding Scotland Wales include all constituent nations Great Britain. Expanding data collection will permit evaluation how smoking alcohol related behaviours respond divergent policy scenarios across devolved...

10.12688/wellcomeopenres.16700.1 preprint EN cc-by Wellcome Open Research 2021-03-29

Smoking is a major risk factor for cardiovascular disease and smoking cessation reduces excess risk. E-cigarettes are popular but there little evidence on their health effect. Our objective was to compare the medium- longer-term effects in smokers attempting quit using e-cigarettes with or without nicotine prescription replacement therapy (NRT).

10.1186/s12916-022-02451-9 article EN cc-by BMC Medicine 2022-08-16

Disadvantaged smokers are less likely to be successful when trying stop smoking than more affluent smokers. In the UK, NHS Stop Smoking Services (SSS) provide a range of pharmacotherapy and behavioural support, delivered by advisors with backgrounds. Whether types support provided who provides it influence differences in quit rates amongst low SES compared high has not previously been examined.

10.1016/j.addbeh.2013.07.010 article EN cc-by Addictive Behaviors 2013-07-21
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