Independent Associations Between Different Measures of Socioeconomic Position and Smoking Status: A Cross-Sectional Study of Adults in England

Differences in the effectiveness of individual-level smoking cessation interventions by socioeconomic status

BACKGROUND

People from lower socioeconomic groups are more likely to smoke and less likely to succeed in achieving abstinence, making tobacco smoking a leading driver of health inequalities. Contextual factors affecting subpopulations may moderate the efficacy of individual-level smoking cessation interventions. It is not known whether any intervention performs differently across socioeconomically-diverse populations and contexts.

OBJECTIVES

To assess whether the effects of individual-level smoking cessation interventions on combustible tobacco cigarette use differ by socioeconomic groups, and their potential impact on health equalities.

SEARCH METHODS

We searched the Cochrane Database of Systematic Reviews from inception to 1 May 2023 for Cochrane reviews investigating individual-level smoking cessation interventions. We selected studies included in these reviews that met our criteria. We contacted study authors to identify further eligible studies.

SELECTION CRITERIA

We included parallel, cluster or factorial randomised controlled trials (RCTs) investigating any individual-level smoking cessation intervention which encouraged complete cessation of combustible tobacco cigarette use compared to no intervention, placebo, or another intervention in adults. Studies must have assessed or reported smoking quit rates, split by any measure of socioeconomic status (SES) at longest follow-up (≥ six months), and been published in 2000 or later.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods for screening, data extraction, and risk of bias assessment. We assessed the availability of smoking abstinence data by SES in lieu of selective reporting. The primary outcome was smoking cessation quit rates, split by lower and higher SES, at the longest follow-up (≥ six months). Where possible, we calculated ratios of odds ratios (ROR) with 95% confidence intervals (CIs) for each study, comparing lower to higher SES. We pooled RORs by intervention type in random-effects meta-analyses, using the generic inverse-variance method. We subgrouped by type of SES indicator and economic classification of the study country. We summarised all evidence in effect direction plots and categorised the intervention impact on health equality as: positive (evidence that the relative effect of the intervention on quit rates was greater in lower rather than higher SES groups), possibly positive, neutral, possibly neutral, possibly negative, negative, no reported statistically significant difference, or unclear. We evaluated certainty using GRADE.

MAIN RESULTS

We included 77 studies (73 from high-income countries), representing 127,791 participants. We deemed 12 studies at low overall risk of bias, 13 at unclear risk, and the remaining 52 at high risk. Included studies investigated a range of pharmacological interventions, behavioural support, or combinations of these. Pharmacological interventions We found very low-certainty evidence for all the main pharmacological interventions compared to control. Evidence on cytisine (ROR 1.13, 95% CI 0.73 to 1.74; 1 study, 2472 participants) and nicotine electronic cigarettes (ROR 4.57, 95% CI 0.88 to 23.72; 1 study, 989 participants) compared to control indicated a greater relative effect of these interventions on quit rates in lower compared to higher SES groups, suggesting a possibly positive impact on health equality. CIs for both estimates included the possibility of no clinically important difference and of favouring higher SES groups. There was a lower relative effect of bupropion versus placebo on quit rates in lower compared to higher SES groups, indicating a possibly negative impact on health equality (ROR 0.05, 95% CI 0.00 to 1.00; from 1 of 2 studies, 354 participants; 1 study reported no difference); however, the CI included the possibility of no clinically important difference. We could not determine the intervention impact of combination or single-form nicotine replacement therapy on relative quit rates by SES. No studies on varenicline versus control were included. Behavioural interventions We found low-certainty evidence of lower quit rates in lower compared to higher SES groups for print-based self-help (ROR 0.85, 95% CI 0.52 to 1.38; 3 studies, 4440 participants) and text-messaging (ROR 0.76, 95% CI 0.47 to 1.23; from 3 of 4 studies, 5339 participants; 1 study reported no difference) versus control, indicating a possibly negative impact on health equality. CIs for both estimates included the possibility of no clinically important difference and of favouring lower SES groups. There was very low-certainty evidence of quit rates favouring higher SES groups for financial incentives compared to balanced intervention components. However, the CI included the possibility of no clinically important difference and of favouring lower SES groups (ROR 0.91, 95% CI 0.45 to 1.85; from 5 of 6 studies, 3018 participants; 1 study reported no difference). This indicates a possibly negative impact on health equality. There was very low-certainty evidence of no difference in quit rates by SES for face-to-face counselling compared to less intensive counselling, balanced components, or usual care. However, the CI included the possibility of favouring lower and higher SES groups (ROR 1.26, 95% CI 0.18 to 8.93; from 1 of 6 studies, 294 participants; 5 studies reported no difference), indicating a possibly neutral impact. We found very low-certainty evidence of a greater relative effect of telephone counselling (ROR 4.31, 95% CI 1.28 to 14.51; from 1 of 7 studies, 903 participants; 5 studies reported no difference, 1 unclear) and internet interventions (ROR 1.49, 95% CI 0.99 to 2.25; from 1 of 5 studies, 4613 participants; 4 studies reported no difference) versus control on quit rates in lower versus higher SES groups, suggesting a possibly positive impact on health equality. The CI for the internet intervention estimate included the possibility of no difference. Although the CI for the telephone counselling estimate only favoured lower SES groups, most studies narratively reported no clear evidence of interaction effects.

AUTHORS' CONCLUSIONS

Currently, there is no clear evidence to support the use of differential individual-level smoking cessation interventions for people from lower or higher SES groups, or that any one intervention would have an effect on health inequalities. This conclusion may change as further data become available. Many studies did not report sufficient data to be included in a meta-analysis, despite having tested the association of interest. Further RCTs should collect, analyse, and report quit rates by measures of SES, to inform intervention development and ensure recommended interventions do not exacerbate but help reduce health inequalities caused by smoking.

Exploring public support for novel tobacco and alcohol control policies in Great Britain 2021-2023: A population-based cross-sectional survey

Objective and rationale

This study assessed support for novel tobacco compared with alcohol control policies among adults in Great Britain in 2021-2023. Objectives were to assess 1) overall level of support for tobacco compared to alcohol control policies; 2) level of support for tobacco compared to alcohol control policies among people who smoke tobacco or who consume alcohol at increasing and higher risk levels, or who do both; 3) level of support for tobacco compared to alcohol control policies among different sociodemographic groups?

Methods

Data were collected in September/October 2021-2023 in a monthly population-based survey on smoking and drinking behaviour of adults across Great Britain (N = 6311), weighted to match the overall population. Outcome measure was level of support for each seven tobacco and alcohol control policies.

Results

More people were in support of tobacco than alcohol control policies (e.g., 57 % vs. 51 % for tax-related policies). This trend was apparent across all sociodemographic subgroups. With one exception, the policies included in this study were supported by more than half of the participants. The exception was decreasing the visibility of alcohol products in shops, which received 41 % of support. People who engaged in the behaviour targeted by policies (tobacco more so than alcohol use) were generally less supportive.

Conclusion

Overall, public support for tobacco and alcohol control policies is high in Great Britain. With one exception, the policies were supported by over half of participants, suggesting that the public is in favour of government regulations to reduce smoking and drinking prevalence in Great Britain.

Patterns and perceptions of vaping among adults living in social housing: a representative survey in Great Britain, 2023

BACKGROUND

Vaping products are effective for helping people to stop smoking and may therefore offer a potential means to reduce high rates of smoking in socioeconomically disadvantaged groups. This study aimed to examine current patterns and perceptions of vaping among people living in social housing in Great Britain compared with those living in other housing types.

METHODS

Data were from the Smoking Toolkit Study; a nationally-representative survey conducted in 2023 (n = 23,245). Logistic regression tested cross-sectional associations between living in social (vs. other) housing and current vaping among adults; vaping frequency, device type, nicotine concentration, and source of purchase among current vapers; use of vaping products as a smoking cessation aid among past-year smokers who tried to quit; and harm perceptions of vaping products relative to cigarettes among current smokers.

RESULTS

Current vaping prevalence was twice as high among adults living in social housing (19.4%) compared with those in other housing types (10.4%; OR = 2.07, 95%CI = 1.84-2.33). This was partly explained by differences in sociodemographic characteristics and smoking status; after adjustment, the odds of being a current vaper were 33% higher (ORadj=1.33, 95%CI = 1.14-1.54). Among vapers, there were no notable differences by housing tenure in vaping frequency, main device type used, usual nicotine concentration, usual source of purchase, or use as a smoking cessation aid. However, current smokers living in social housing were more likely to think vaping is more harmful than cigarettes (31.6% vs. 21.8%; ORadj=1.61, 95%CI = 1.30-1.99).

CONCLUSIONS

In Great Britain, adults who live in social housing are more likely to vape than those who live in other housing types, even after accounting for their younger age and higher smoking rates. However, misperceptions about the relative harms of vaping products and tobacco are common among smokers living in social housing. Interventions addressing these misperceptions could help encourage more people living in social housing to switch from smoking to vaping and reduce smoking-related health inequalities.

PRE-REGISTRATION

The study protocol and analysis plan were pre-registered on Open Science Framework (https://osf.io/n3mvs/).

A systematic scoping review of health-promoting interventions for contact centre employees examined through a behaviour change wheel lens

PURPOSE

Social determinants of health and poor working conditions contribute to excessive sickness absence and attrition in contact centre advisors. With no recent review conducted, the current scoping review is needed to investigate the volume, effectiveness, acceptability, and feasibility of health-promoting interventions for contact centre advisors. This will inform the adoption and implementation of evidence-based practice, and future research.

METHODS

Searches conducted across four databases (MEDLINE, PsycInfo, CINAHL, Web of Science) and reference checking in February 2023 identified health-promoting interventions for contact centre advisors. Extracted and coded data from eligible interventions were systematically synthesised using the nine intervention functions of the Behaviour Change Wheel and behaviour change technique taxonomy.

RESULTS

This scoping review identified a low number of high quality and peer-reviewed health-promoting intervention studies for contact centre advisors (28 studies since 2002). Most interventions were conducted in high-income countries with office-based advisors, predominantly using environmental restructuring and training strategies to improve health. Most interventions reported positive effectiveness results for the primary intended outcomes, which were broadly organised into: i) health behaviours (sedentary behaviour, physical activity, smoking); ii) physical health outcomes (musculoskeletal health, visual health, vocal health, sick building syndrome); iii) mental health outcomes (stress, job control, job satisfaction, wellbeing). Few interventions evaluated acceptability and feasibility.

CONCLUSION

There is little evidence on the effectiveness, acceptability, and feasibility of health-promoting interventions for contact centre advisors. Evidence is especially needed in low-to-middle income countries, and for remote/hybrid, nightshift, older and disabled advisors.

Socio-demographic variation in adherence to the World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations within the UK Biobank prospective cohort study

BACKGROUND

The 2018 (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are evidence-based lifestyle recommendations which aim to reduce the risk of cancer worldwide. Sociodemographic factors modulate lifestyle behaviours, and both cancer incidence and survival are socio-economically patterned. We investigated adherence to these recommendations and examined patterns of adherence across sociodemographic subgroups in the UK Biobank cohort.

METHODS

We included 158 415 UK Biobank participants (mean age 56 years, 53% female). Total adherence scores were derived from dietary, physical activity and anthropometric data using the 2018 WCRF/AICR standardized scoring system. One-Way analysis of variance (ANOVA) was used to test for differences in total scores and in values for individual score components according to sociodemographic factors and Pearson's Χ2 test to investigate associations between sociodemographic factors according to tertiles of adherence score.

RESULTS

Mean total adherence score was 3.85 points (SD 1.05, range 0-7 points). Higher total scores were observed in females, and older (>57 years), Chinese or South Asian, and more educated participants. We found significant variations in adherence to individual recommendations by sociodemographic factors including education, Townsend deprivation index and ethnicity.

CONCLUSIONS

Identifying and understanding lifestyle and dietary patterns according to sociodemographic factors could help to guide public health strategies for the prevention of cancers and other non-communicable diseases.

Use of the Therapy App Prescinde for Increasing Adherence to Smoking Cessation Treatment

Tobacco use poses major health risks and is a major contributor to causes of death worldwide. Mobile phone-based cessation apps for this substance are gaining popularity, often used as a component of traditional interventions. This study aimed to analyze adherence to an intervention using a mobile phone application (App-therapy Prescinde (v1)) as a function of sociodemographic variables (age, gender, educational level, and profession) as well as the primary activities supported by the app (reducing tobacco or cannabis use and increasing physical exercise). The participants were recruited through the web pages of the Occupational Risk Prevention Service and the Psychology Clinic of the University of Granada during the COVID-19 confinement period. The application's contents include three components (self-report, motivational phrases, and goal setting). Our findings indicate that being male, being aged between 26 and 62, having a high school education, and being unemployed increase the likelihood of adherence to the Prescinde therapy app three months after usage. Our findings highlight the importance of developing new therapeutic approaches and conducting in-depth studies on the factors associated with adherence to tobacco cessation and cannabis cessation treatments via mobile phone applications.

Patterns of cigarette and e-cigarette use among UK adolescents: a latent class analysis of the Millennium Cohort Study

BACKGROUND

Patterning of cigarette and e-cigarette use among young people remains poorly characterized. We aimed to describe these patterns in the UK Millennium Cohort Study at age 14 and 17 years.

METHODS

Data on cigarette and e-cigarette use come from 9731 adolescents. Latent class analysis assigned participants to membership of classes of product use and multinomial logistic regression analyses assessed differences in the likelihood of belonging to classes by sociodemographic (age, gender, ethnicity, household income, maternal education and country of residence) and smoking-related social factors (caregiver tobacco use, caregiver e-cigarette use and peer smoking).

RESULTS

We identified four classes of use: 45.8% of adolescents 'continued to abstain' from cigarettes or e-cigarettes; 21.3% 'experimented' (used once or in the past but not currently) with cigarettes and/or e-cigarettes by age 17 but were not current users; 19.0% were 'late adopters', characterized by low levels of use at age 14 but high levels of experimentation and current use at age 17; and 13.9% were 'early adopters', characterized by high levels of experimentation and current use at ages 14 and 17. At age 17, 70.4% of 'early adopters' smoked cigarettes regularly plus an additional 27.3% experimented with cigarettes. Corresponding percentages for e-cigarettes were 37.9% and 58.9%. Tobacco and e-cigarette use by caregivers, and cigarette use by peers, were associated with being both 'late adopters' and 'early adopters'.

CONCLUSIONS

Approximately one in seven adolescents in the UK are 'early adopters' of nicotine products. This highlights the need to develop and implement effective policies to prevent nicotine use uptake.

The association of substance use with attaining employment among unemployed job seeking adults: Prospective findings from the French CONSTANCES cohort

This study aimed to examine the prospective association between tobacco, alcohol and cannabis use with attaining employment among unemployed job seekers. Data from the French population-based CONSTANCES cohort on 5114 unemployed job seeking adults enrolled from 2012 to 2018 were analyzed. Binary logistic regressions were computed. Odds ratio (OR) and 95%CI of remaining unemployed at one-year of follow-up (versus attaining employment) according to substance use at baseline were obtained. The following independent variables were introduced into separate models: tobacco use (non-smoker, former smoker, light (<10cig/day), moderate (10-19cig/day) and heavy smoker (>19cig/day)), alcohol use according to the Alcohol Use Disorder Identification Test (non-users (0), low (<7), moderate (7-15) and high or very high-risk (>15)) and cannabis use (never used, no use in the previous 12 months, less than once a month, at least once a month but less than once per week, once per week or more). Analyses were adjusted for age, gender and education. At follow-up, 2490 participants (49.7%) were still unemployed. Compared to non-smokers, moderate and heavy smokers were more likely to remain unemployed, with ORs (95%CI) of 1.33 (1.08-1.64) and 1.42 (1.04-1.93), respectively. Compared to low-risk alcohol users, no alcohol users and high or very high-risk alcohol users were more likely to remain unemployed, with ORs (95% CI) of 1.40 (1.03-1.83) and 2.10 (1.53-2.87), respectively. Compared to participants who never used cannabis, participants who use cannabis once a week or more were more likely to remain unemployed, OR (95%CI) of 1.63 (1.33-2.01). Substance use may play an important role in difficulty attaining employment.

Smoking in social housing among adults in England, 2015-2020: a nationally representative survey

OBJECTIVES

To analyse associations between living in social housing and smoking in England and to evaluate progress towards reducing disparities in smoking prevalence among residents of social housing compared with other housing types.

DESIGN

Cross-sectional analysis of nationally representative data collected between January 2015 and February 2020.

SETTING

England.

PARTICIPANTS

105 562 adults (≥16 years).

PRIMARY AND SECONDARY OUTCOME MEASURES

Linear and logistic regression were used to analyse associations between living in social housing (vs other housing types) and smoking status, cigarettes per day, time to first cigarette, exposure to others' smoking, motivation to stop smoking, quit attempts and use of cessation support. Analyses were adjusted for sex, age, social grade, region and year.

RESULTS

Adults living in social housing had two times the odds of being a smoker (OR_adj=2.17, 95% CI 2.08 to 2.27), and the decline in smoking prevalence between 2015 and 2020 was less pronounced in this high-risk group (-7%; OR_adj=0.98, 95% CI 0.96 to 1.01) than among adults living in other housing types (-24%; OR_adj=0.95, 95% CI 0.94 to 0.96; housing tenure-survey year interaction p=0.020). Smokers living in social housing were more addicted than those in other housing types (smoking within 30 min of waking: OR_adj=1.50, 95% CI 1.39 to 1.61), but were no less motivated to stop smoking (OR_adj=1.06, 95% CI 0.96 to 1.17) and had higher odds of having made a serious attempt to quit in the past year (OR_adj=1.16, 95% CI 1.07 to 1.25). Among smokers who had tried to quit, those living in social housing had higher odds of using evidence-based cessation support (OR_adj=1.22, 95% CI 1.07 to 1.39) but lower odds of remaining abstinent (OR_adj=0.63, 95% CI 0.52 to 0.76).

CONCLUSIONS

There remain stark inequalities in smoking and quitting behaviour by housing tenure in England, with declines in prevalence stalling between 2015 and 2020 despite progress in the rest of the population. In the absence of targeted interventions to boost quitting among social housing residents, inequalities in health are likely to worsen.

Associations between smoking to relieve stress, motivation to stop and quit attempts across the social spectrum: A population survey in England

Smoking prevalence in several high-income countries is steadily declining but remains persistently high in 'lower' socioeconomic position (SEP) groups, contributing to inequities in morbidity and mortality. Smoking to relieve stress is a commonly endorsed motive for continued smoking; however, it remains unclear whether smoking to relieve stress has a negative impact on motivation to stop and future quit attempts and if so, whether associations are moderated by SEP. This was an observational study with cross-sectional and prospective survey data from the nationally representative Smoking Toolkit Study in England. A total of 1,135 adult smokers were surveyed at baseline, with 153 (13.5%) respondents followed up at 12 months. Respondents provided information on demographic, social and smoking characteristics. A series of multivariable logistic regression analyses was conducted. Bayes Factors (BFs) were calculated to explore non-significant associations. Smoking to relieve stress was commonly endorsed by respondents from both 'lower' (43.2% [95% CI = 39.4%, 47.0%]) and 'higher' (40.5% [95% CI = 35.9%, 45.1%]) SEP groups (p = 0.39). Smoking to relieve stress was associated with high motivation to stop at baseline (ORadj = 1.48, 95% CI = 1.03-2.12, p = 0.035) but not significantly with the odds of making a quit attempt at a 12-month follow-up, although the magnitude and direction of the effect was similar to that observed for high motivation to stop (ORadj = 1.49, 95% CI = 0.69-3.20, p = 0.3). Data were insensitive to detect moderation effects of SEP (BF = 0.90 and BF = 1.65, respectively). Smoking to relieve stress is a commonly endorsed motive and is associated with high motivation to stop but not significantly with the odds of making a quit attempt in the next 12 months, although the magnitude and direction of the effect was similar for both outcomes. There was no clear evidence of moderation by SEP, although data were insensitive to distinguish the alternative from the null hypothesis.

Inequalities in Smoking and Quitting-Related Outcomes Among Adults With and Without Children in the Household 2013-2019: A Population Survey in England

INTRODUCTION

Smoking among those who live with children is an important influence on smoking initiation among children. This study assessed socioeconomic inequalities in smoking and quitting-related outcomes among all adults with and without children in the household.

AIMS AND METHODS

Monthly repeat cross-sectional household survey of adults (16+) from 2013-2019 in England (N = 138 583). We assessed the association between cigarette smoking and quitting-related outcomes and having children in the household, and whether these relationships were moderated by occupational social grade (categories AB-E from most to least advantaged). Trends in smoking prevalence among adults with and without children in the household were explored.

RESULTS

In adjusted analysis, the association of having children in the household with smoking prevalence depended on social grade: smoking prevalence was between 0.71 (95% confidence interval 0.66-0.77) and 0.93 (0.88-0.98) times lower among social grades AB-D with children in the household relative to those without. Conversely, it was 1.11 (1.05-1.16) times higher among social grade E. Yearly prevalence declined similarly among those with and without children (both prevalence ratio: 0.98, 95% confidence interval 0.97-0.99). Motivation to stop smoking was higher among those with children than those without, but lower among disadvantaged than more advantaged groups. Social grades D-E had greater heavy smoking, but higher prevalence of past-month quit attempts.

CONCLUSIONS

Among the most disadvantaged social grade in England, smoking prevalence was higher in those with children in the household than without. To attenuate future smoking-related inequalities, there is an urgent need to target support and address barriers to quitting and promote longer-term quit success.

IMPLICATIONS

In the most disadvantaged occupational social grade, having children in the household was associated with higher smoking prevalence compared with not having children. This contrasts with all other social grades in which there was lower comparative smoking prevalence among those with than without children in the household. Without attention this disparity could exacerbate existing and future health inequalities related to smoking.

The Economic Burden of Alzheimer's Disease in Zhejiang Province

BACKGROUND

The World Alzheimer Report has described and predicted the economic burden of Alzheimer's disease (AD) patients in detail for four consecutive years. There was a large-scale national survey in China launched by Professor Jianping Jia in 2015, but it did not adequately represent the average economic burden of AD patients in Zhejiang Province.

OBJECTIVE

To investigate the economic burden and main factors influencing Alzheimer's disease (AD) in Zhejiang Province.

METHODS

We recruited 830 patients from 10 cities in Zhejiang Province, evaluated their per capita and total cost related to AD treatment and care in 2017, and analyzed the main factors affecting economic burden from the perspective of demographic characteristics and disease severity.

RESULTS

In 2017, per capita cost of AD was 114,343.7 yuan, while the total cost was 27.53 billion yuan, accounting for 0.77% of Zhejiang Province's GDP (5176.8 billion yuan). Total cost, direct medical cost, and indirect cost have different correlations with age, education level, type of work, marital status, comorbidity, and disease severity.

CONCLUSION

The economic burden of AD in Zhejiang Province is heavy, similar to the national burden, and interventions based on demographic characteristics and disease severity can help reduce it.

Differences between ethnic groups in self-reported use of e-cigarettes and nicotine replacement therapy for cutting down and temporary abstinence: a cross-sectional population-level survey in England

BACKGROUND AND AIMS

The National Institute for Health and Care Excellence (NICE) has called for research into tobacco harm reduction across ethnicities, genders and socio-economic status. Although there is increasing research focused on the latter two, relatively few studies have considered ethnic variations. Therefore this study aimed to assess (i) the association between ethnicity and use of e-cigarettes and nicotine replacement therapy (NRT) for temporary abstinence and cutting down, and (ii) trends in prevalence of these over time.

DESIGN

Repeated cross-sectional household survey.

SETTING

England.

PARTICIPANTS

Between April 2013 and September 2019, data were collected on 24 114 smokers, 16+ of age, taking part in the Smoking Toolkit Study (STS).

MEASUREMENTS

Ethnicity coding included: White, mixed/multiple ethnic group, Asian, Black and Arab/other ethnic group. Smokers reported whether they were currently using e-cigarettes and/or NRT for cutting down or during periods of temporary abstinence.

FINDINGS

Odds of e-cigarette use for cutting down and temporary abstinence were significantly lower among those of Asian ethnicity (OR = 0.79, 95% CI = 0.66-0.93) and Arab/other ethnicity (OR = 0.58, 95% CI = 0.40-0.83) compared with White ethnicity. Those of mixed/multiple ethnicity had higher odds for NRT us (OR = 1.42, 95% CI = 1.04-1.94) compared with those of White ethnicity. Trend analysis indicated that for White ethnicity, e-cigarette use by smokers for cutting down and temporary abstinence followed an 'inverse S' shaped cubic curve indicating an overall rise, whereas NRT use followed an 'S' shaped cubic curve, indicating an overall decline. For mixed/multiple ethnicity a similar trend was found for NRT use only, with other ethnicities showing no statistically significant trends (suggesting relative stability over time).

CONCLUSIONS

In England, e-cigarette use by smokers for cutting down and temporary abstinence is less common among Asian and Arab/other ethnicity smokers compared with White smokers. Smokers of mixed/multiple ethnicity are the most likely to be using NRT compared with other ethnic groups for cutting down and temporary abstinence. E-cigarette use by smokers for cutting down and temporary abstinence has increased over time among White smokers, whereas prevalence in other ethnic groups has remained stable.

Who would be targeted by increasing the legal age of sale of cigarettes from 18 to 21? A cross-sectional study exploring the number and characteristics of smokers in England

AIMS

To establish the number of smokers in England who would be targeted by increasing the age of sale of cigarettes from 18 to 21 years and to assess the smoking and socio-demographic profile of those smokers.

DESIGN AND SETTING

Nationally representative cross-sectional survey of adults in England conducted between January 2009 and July 2019.

PARTICIPANTS

A total of 219 720 adults.

MEASUREMENTS

All participants reported their current smoking status and socio-demographic characteristics (i.e. age, gender, home ownership, social grade and ethnicity). Smokers reported motivation to quit, urges to smoke and the Heaviness of Smoking Index (HIS). Weighted prevalence statistics were calculated. Multinomial regression and logistic regression were used to assess differences in smoking characteristics among smokers and socio-demographic characteristics relative to non-smokers.

FINDINGS

The prevalence of smoking between January 2009 and July 2019 was highest among those aged 21-30. In 2019, 15.6% [95% confidence interval (CI) = 12.8-18.8%] of 18-20-year-olds reported smoking, which is estimated to represent 364 000 individuals in England. Relative to smokers aged 18-20, older smokers (aged 21+) had a higher motivation to quit smoking [odds ratios (ORs) = 1.40-1.45 range] and higher nicotine dependency as measured by urges to smoke (ORs = 1.06-1.24 range) and HSI (ORs = 1.05-2.85 range). Compared with non-smokers aged 18-20, smokers in this age group had lower odds of being female (OR = 0.89) and higher odds of being of white ethnicity (OR = 2.78) and from social grades C1-E (lower social grades) compared with AB (higher social grades) (OR = 1.19-1.83 range).

CONCLUSION

Increasing the age of sale of cigarettes to 21 years in England would currently target approximately 364 000 lower dependent smokers from more disadvantaged backgrounds aged 18-20, who have less motivation to quit.

"At least someone thinks I'm doing well": a real-world evaluation of the quit-smoking app StopCoach for lower socio-economic status smokers

BACKGROUND

Smoking is more prevalent and persistent among lower socio-economic status (SES) compared with higher-SES groups, and contributes greatly to SES-based health inequities. Few interventions exist that effectively help lower-SES smokers quit. This study evaluated "De StopCoach", a mobile phone delivered eHealth intervention targeted at lower-SES smokers based on the evidence-based StopAdvisor, in a real-world setting (five municipalities) in The Netherlands in 2019-2020.

METHOD

We conducted individual semi-structured interviews with project leaders, healthcare professionals, and participating smokers (N = 22), and examined log data from the app (N = 235). For practical reasons, SES of app users was not measured. Qualitative data were analysed using the Framework Approach, with the Consolidated Framework for Implementation Research (CFIR) and Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical models.

RESULTS

Qualitative data showed that factors from the Intervention and Setting domains were most important for the implementation. StopCoach seemed suitable for lower-SES smokers in terms of performance and effort expectancy, especially when integrated with regular smoking cessation counseling (SCC). Key barriers to implementation of the app were limited integration of the app in SCC programs in practice, difficulty experienced by project leaders and healthcare professionals to engage the local community, and barriers to SCC more generally (e.g., perceived resistance to quitting in patients) that prevented healthcare professionals from offering the app to smokers. Quantitative data showed that 48% of app users continued using the app after the preparation phase and pre-quit day, and that 33% of app users had attempted to quit. Both app adherence and quit attempts were more likely if smokers also received SCC from a professional coach. Posthoc analyses suggest that adherence is related to higher likelihood of a quit attempt among participants with and without a professional coach.

CONCLUSIONS

Smokers, healthcare professionals and project leaders indicated in the interviews that the StopCoach app would work best when combined with SCC. It also appears from app log that app adherence and quit attempts by app users can be facilitated by combining the app with face-to-face SCC. As such, blended care appears promising for helping individual smokers quit, as it combines the best of regular SCC and eHealth. Further research on blended care for lower-SES smokers is needed.

Prevalence and correlates of receipt by smokers of general practitioner advice on smoking cessation in England: a cross-sectional survey of adults

BACKGROUND AND AIMS

Advice from a general practitioner (GP) can encourage smokers to quit. This study aimed to estimate the prevalence and correlates of receipt of GP advice on smoking, what type of advice and support was offered and characteristics and quitting activity associated with different types of advice.

DESIGN/SETTING

Data were collected between 2016 and 2019 in a series of monthly cross-sectional surveys of representative samples of the adult population in England.

PARTICIPANTS

A total of 11 588 past-year smokers.

MEASUREMENTS

Participants reported whether they had received advice or offer of support for smoking cessation from their GP in the last year. Socio-demographic and behavioural characteristics and past-year quit attempts and cessation were also recorded.

FINDINGS

One in two [47.2%, 95% confidence interval (CI) = 46.1-48.3%] past-year smokers who reported visiting their GP in the last year recalled receiving advice on smoking, and one in three (30.1%, 95% CI = 29.1-31.1%) reported being offered cessation support. The most common form of support offered was stop smoking services (16.5%, 95% CI = 15.7-17.3%) followed by prescription medication (8.1%, 95% CI = 7.5-8.7%); 3.7% (95% CI = 3.3-4.1%) reported having been recommended to use e-cigarettes. Smokers who were older, non-white, more addicted, and smoked five or more cigarettes/day had consistently higher odds of receiving advice or support. There were some differences by region, housing tenure, presence of children in the home and high-risk drinking in the types of advice/support received. There were no significant differences by sex, occupational social grade, disability, type of cigarettes smoked, or survey year. Advice with any offer of support was associated with higher odds of attempting to quit than advice alone [adjusted odds ratio (ORadj ) = 1.52, 95% CI = 1.30-1.76]. Advice alone was associated with higher odds of quit attempts than no advice in smokers with higher (ORadj  = 1.34, 95% CI = 1.10-1.64) but not lower occupational social grade (ORadj  = 0.90, 95% CI = 0.75-1.08).

CONCLUSIONS

In England, a minority of smokers receive support from their GP to stop smoking. Those who do are more likely to be older, non-white and more addicted to cigarettes. Advice plus offer of support appears to be associated with increased odds of making a quit attempt, while advice without offer of support appears only to be associated with increased odds of making a quit attempt in higher occupational social grade smokers.

Long-term evaluation of the rise in legal age-of-sale of cigarettes from 16 to 18 in England: a trend analysis

OBJECTIVE

To assess the long-term impact of the increase in age-of-sale of cigarettes from 16 to 18 in England in October 2007.

METHODS

Data were collected between November 2006 and September 2018 on 252,601 participants taking part in a nationally representative survey of adults aged 16+ in England, the Smoking Toolkit Study (STS). We assessed the impact of the introduction of the increase in age-of-sale on prevalence of ever smoking, current smoking, and quit attempts, among 16-17 year olds compared with 18-24 year olds.

RESULTS

Following the increase in age-of-sale, there was a declining trend in ever smoking that was greater among 16-17 year olds than 18-24 year olds (OR 0.990 versus OR 0.993; p = 0.019). Data on current smoking were insensitive to detect a difference between the age groups in a step-level change or change in trend following the increase in age-of-sale (Bayes factors (BFs) 0.75 and 2.10). Data on quit attempts were also insensitive to detect a change in trend (BF 0.71), and despite a greater step-level decline among those aged 16-17 (OR 0.311 versus OR 0.547, p = 0.025), quit attempts remained higher among those aged 16-17. Secondary analysis indicated that post-policy change, trends in current and ever smoking were linear for 16-17 year olds but quadratic for 18-24 year olds (slowing decline).

CONCLUSION

There is some evidence from an assessment of long-term trends in the Smoking Toolkit Study that the increase in legal age-of-sale of cigarettes in England was associated with a greater long-term decline in ever smoking among those aged 16-17 compared with those aged 18-24.