Impact of the cost-of-living crisis on the nature of attempts to stop smoking and to reduce alcohol consumption in Great Britain: A representative population survey, 2021-2022.

BACKGROUND: Smoking and excessive drinking place a strain on household budgets. We aimed to examine the impact of the cost-of-living crisis in Great Britain on the nature of smoking cessation and alcohol reduction attempts, and explore changes in health professionals offering support. METHODS: Data were from 14,567 past-year smokers and high-risk drinkers (AUDIT-C ≥5) participating in monthly representative surveys, January-2021 through December-2022. We estimated time trends in cost as a motive driving the most recent (smoking cessation/alcohol reduction) attempt, use of paid or evidence-based support, and receipt of GP offer of support for smoking cessation or alcohol reduction, and tested for moderation by occupational social grade. RESULTS: The proportion of attempts motivated by cost did not change significantly over time among smokers (25.4% [95%CI = 23.8-26.9%]), but increased between December-2021 and December-2022 among high-risk drinkers from less advantaged social grades (from 15.3% [95%CI 12.1-19.3] to 29.7% [20.1-44.1]). The only change in support use was an increase in smokers using paid support, specifically e-cigarettes (from 28.1% [23.7-33.3] to 38.2% [33.0-44.4]). Among those visiting their GP, the proportion who received an offer of support was similar over time among smokers (27.0% [25.7-28.2]) and high-risk drinkers (1.4% [1.1-1.6%]). CONCLUSIONS: There is limited evidence that the 2021/22 cost-of-living crisis affected the nature of attempts to stop smoking and reduce alcohol consumption, or receipt of GP offer of support. It is encouraging that use of evidence-based support has not declined and that use of e-cigarettes in quit attempts has increased. However, cost is increasingly motivating alcohol reduction attempts among less advantaged drinkers, and rates of GPs offering support, especially for alcohol reduction, remain very low.

Trends in Public Awareness and Knowledge of Drinking Guidelines: a Representative Population Survey in England, 2016-2022.

AIM: To examine trends in public awareness and knowledge of drinking guidelines in the UK since their revision in 2016, which had moved from a daily to a weekly guideline, made the guideline the same for men and women, and reduced the guideline for men by around one-third. METHOD: Data were from a representative, repeat cross-sectional survey. We analysed changes in awareness and knowledge of drinking guidelines among 8168 adult drinkers between 2016 and 2022 and associations with sociodemographic characteristics, smoking status and level of alcohol consumption. RESULTS: The proportion of drinkers aware of guidelines declined from 86.0% (95%CI 84.0-88.0%) in 2016 to 81.7% (79.5-84.0%) in 2019, then increased during the COVID-19 pandemic, peaking at 91.6% (90.1-93.1%) in 2020. The proportion who correctly identified the guideline as a maximum of exactly 14 units/week remained at around a quarter from 2016 (25.0%, 22.4-27.5%) to 2018 (25.8%, 23.2-28.3%), whereas the proportion who gave a figure of 14 units or fewer rose from 52.1 (49.2-55.0%) to 57.4% (54.6-60.3%). However, by 2022, guideline knowledge had worsened significantly, with these figures falling to 19.7 (17.4-21.9%) and 46.5% (43.6-49.4%), respectively. Changes over time were similar across subgroups. Odds of guideline awareness and knowledge were higher among drinkers who were aged ≥35, female, more educated and from more advantaged social grades. CONCLUSIONS: The majority of adult drinkers in the UK are aware of low-risk drinking guidelines. However, 6 years since their announcement, knowledge of the revised drinking guidelines remains poor. Less than a quarter know the recommended weekly limit and only around half think it is 14 units or less. Inequalities have persisted over time, such that disadvantaged groups remain less likely to know the guidelines.

Cutting down, quitting and motivation to stop smoking by self-reported COVID-19 status: Representative cross-sectional surveys in England.

AIM: To examine the association of self-reported COVID-19 disease status with cutting down, past-month and past-year quit attempts and motivation to stop smoking. DESIGN AND SETTING: Repeat cross-sectional survey, representative of the adult population in England. PARTICIPANTS: Past-year smokers, n = 3338 (aged ≥ 18 years) responding between May 2020 and April 2021. MEASUREMENTS: Outcomes were (i) currently cutting down, (ii) having made a quit attempt in the past month, (iii) having made a quit attempt in the past year and (iv) motivation to stop smoking. The explanatory variable was self-reported COVID-19 disease status (belief in never versus ever had COVID-19). Covariates included age, sex, occupational grade, region, children in the household, alcohol use and survey month. FINDINGS: Of past-year smokers, 720 (21.6%) reported past-COVID-19 infection and 48 (1.4%) reported current COVID-19 infection. In adjusted analyses, rates of currently cutting down [adjusted odds ratio (aOR) = 1.12, 95% confidence interval (CI) = 0.93-1.34], past-year quit attempts (aOR = 0.99, 95% CI = 0.82-1.19) and motivation to stop smoking (aOR = 1.04, 95% CI = 0.89-1.23) were comparable in those who did and did not report ever having had COVID-19. People who reported ever having had COVID-19 had 39% higher odds than those without of attempting to quit in the past month, but the confidence interval contained the possibility of no difference (aOR = 1.39, 95% CI = 0.94-2.06) and for some the quit attempt may have occurred before they had COVID-19. CONCLUSION: During the first year of the COVID-19 pandemic in England, rates of reducing smoking and attempting to quit in the past year were similar in smokers who did or did not self-report ever having had COVID-19. There was also little difference in motivation to stop smoking between groups. However, causal interpretation is limited by the study design, and there is potential misclassification of the temporal sequence of infection and changes to smoking behaviour.

Prevalence of use and real-world effectiveness of smoking cessation aids during the COVID-19 pandemic: a representative study of smokers in England.

AIM: To measure whether the prevalence of use and real-world effectiveness of different smoking cessation aids has changed in England since the coronavirus disease 2019 (COVID-19) pandemic. DESIGN: Representative monthly cross-sectional surveys, January 2015-June 2021. SETTING: England. PARTICIPANTS: A total of 7300 adults (≥18 y) who had smoked within the previous 12 months and had made ≥1 quit attempt during that period. MEASUREMENTS: The independent variable was the timing of the COVID-19 pandemic (pre-pandemic [January 2015-February 2020] vs pandemic [April 2020-June 2021]). We analysed (i) the association between the pandemic period and self-reported use (vs non-use) during the most recent quit attempt of: prescription medication (nicotine replacement therapy [NRT]/varenicline/bupropion), NRT bought over-the-counter, e-cigarettes, traditional behavioural support and traditional remote support (telephone support/written self-help materials/websites) and (ii) the interaction between the pandemic period and use of these cessation aids on self-reported abstinence from quit date to survey. Covariates included age, sex, social grade, level of cigarette addiction and characteristics related to the quit attempt. FINDINGS: After adjustment for secular trends, there was a significant increase from the pre-pandemic to pandemic period in the prevalence of use of traditional remote support by past-year smokers in a quit attempt (OR = 2.18; 95% CI, 1.42-3.33); specifically telephone support (OR = 7.16; 95% CI, 2.19-23.45) and websites (OR = 2.39; 95% CI, 1.41-4.08). There was also an increase in the prevalence of use of prescription medication (OR = 1.47; 95% CI, 1.08-2.00); specifically varenicline (OR = 1.66; 95% CI, 1.09-2.52). There were no significant changes in prevalence of use of other cessation aids after adjustment for secular trends. People who reported using prescription medication (OR = 1.41; 95% CI, 1.09-1.84) and e-cigarettes (OR = 1.87; 95% CI, 1.62-2.16) had greater odds of reporting abstinence than people who did not. There were no significant interactions between the pandemic period and use of any cessation aid on abstinence, after adjustment for covariates and use of the other aids, although data were insensitive to distinguish no change from meaningful modest (OR = 1.34) effects (Bayes factors 0.72-1.98). CONCLUSIONS: In England, the COVID-19 pandemic was associated with an increase in use of remote support for smoking cessation and varenicline by smokers in a quit attempt up to June 2021. The data were inconclusive regarding an association between the pandemic and changes in the real-world effectiveness of popular smoking cessation aids.

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 (ORadj=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%; ORadj=0.98, 95% CI 0.96 to 1.01) than among adults living in other housing types (-24%; ORadj=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: ORadj=1.50, 95% CI 1.39 to 1.61), but were no less motivated to stop smoking (ORadj=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 (ORadj=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 (ORadj=1.22, 95% CI 1.07 to 1.39) but lower odds of remaining abstinent (ORadj=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.

Moderators of changes in smoking, drinking and quitting behaviour associated with the first COVID-19 lockdown in England.

AIM: To estimate changes in smoking, drinking and quitting behaviour from before to during the first COVID-19 lockdown in England, and whether changes differed by age, sex or social grade. DESIGN: Representative cross-sectional surveys of adults, collected monthly between August 2018 and July 2020. SETTING: England. PARTICIPANTS: A total of 36 980 adults (≥ 18 years). MEASUREMENTS: Independent variables were survey month (pre-lockdown: August-February versus lockdown months: April-July) and year (pandemic: 2019/20 versus comparator: 2018/19). Smoking outcomes were smoking prevalence, cessation, quit attempts, quit success and use of evidence-based or remote cessation support. Drinking outcomes were high-risk drinking prevalence, alcohol reduction attempts and use of evidence-based or remote support. Moderators were age, sex and occupational social grade (ABC1 = more advantaged/C2DE = less advantaged). FINDINGS: Relative to changes during the same time period in 2018/19, lockdown was associated with significant increases in smoking prevalence [+24.7% in 2019/20 versus 0.0% in 2018/19, adjusted odds ratio (aOR) = 1.35, 95% confidence interval (CI) = 1.12-1.63] and quit attempts (+39.9 versus -22.2%, aOR = 2.48, 95% CI = 1.76-3.50) among 18-34-year-olds, but not older groups. Increases in cessation (+156.4 versus -12.5%, aOR = 3.08, 95% CI = 1.86-5.09) and the success rate of quit attempts (+99.2 versus +0.8%, aOR = 2.29, 95% CI = 1.31-3.98) were also observed, and did not differ significantly by age, sex or social grade. Lockdown was associated with a significant increase in high-risk drinking prevalence among all socio-demographic groups (+39.5 versus -7.8%, aOR = 1.80, 95% CI = 1.64-1.98), with particularly high increases among women (aOR = 2.17, 95% CI = 1.87-2.53) and social grades C2DE (aOR = 2.34, 95% CI = 2.00-2.74). Alcohol reduction attempts increased significantly among high-risk drinkers from social grades ABC1 (aOR = 2.31, 95% CI = 1.78-3.00) but not C2DE (aOR = 1.25, 95% CI = 0.83-1.88). There were few significant changes in use of support for smoking cessation or alcohol reduction, although samples were small. CONCLUSIONS: In England, the first COVID-19 lockdown was associated with increased smoking prevalence among younger adults and increased high-risk drinking prevalence among all adults. Smoking cessation activity also increased: more younger smokers made quit attempts during lockdown and more smokers quit successfully. Socio-economic disparities in drinking behaviour were evident: high-risk drinking increased by more among women and those from less advantaged social grades (C2DE), but the rate of reduction attempts increased only among the more advantaged social grades (ABC1).

Perceived risk factors for severe Covid-19 symptoms and their association with health behaviours: Findings from the HEBECO study.

Risk perceptions are important influences on health behaviours. We used descriptive statistics and multivariable logistic regression models to assess cross-sectionally risk perceptions for severe Covid-19 symptoms and their health behaviour correlates among 2206 UK adults from the HEBECO study. The great majority (89-99%) classified age 70+, having comorbidities, being a key worker, overweight, and from an ethnic minority as increasing the risk. People were less sure about alcohol drinking, vaping, and nicotine replacement therapy use (17.4-29.5% responding 'don't know'). Relative to those who did not, those who engaged in the following behaviours had higher odds of classifying these behaviours as (i) decreasing the risk: smoking cigarettes (adjusted odds ratios, aORs, 95% CI = 2.26, 1.39-3.37), and using e-cigarettes (aORs = 5.80, 3.25-10.34); (ii) having no impact: smoking cigarettes (1.98; 1.42-2.76), using e-cigarettes (aORs = 2.63, 1.96-3.50), drinking alcohol (aORs = 1.75, 1.31-2.33); and lower odds of classifying these as increasing the risk: smoking cigarettes (aORs: 0.43, 0.32-0.56), using e-cigarettes (aORs = 0.25, 0.18-0.35). Similarly, eating more fruit and vegetables was associated with classifying unhealthy diet as 'increasing risk' (aOR = 1.37, 1.12-1.69), and exercising more with classifying regular physical activity as 'decreasing risk' (aOR = 2.42, 1.75-3.34). Risk perceptions for severe Covid-19 among UK adults were lower for their own health behaviours, evidencing optimism bias. These risk perceptions may form barriers to changing people's own unhealthy behaviours, make them less responsive to interventions that refer to the risk of Covid-19 as a motivating factor, and exacerbate inequalities in health behaviours and outcomes.

Association of the COVID-19 lockdown with smoking, drinking and attempts to quit in England: an analysis of 2019-20 data.

AIM: To examine changes in smoking, drinking and quitting/reduction behaviour following the COVID-19 lockdown in England. DESIGN/SETTING: Monthly cross-sectional surveys representative of the adult population in England, aggregated before (April 2019-February 2020) versus after (April 2020) lockdown. PARTICIPANTS: A total of 20 558 adults (≥ 16 years). MEASUREMENTS: The independent variable was the timing of the COVID-19 lockdown (before versus after March 2020). Dependent variables were: prevalence of smoking and high-risk drinking, past-year cessation and quit attempts (among past-year smokers), past-year attempts to reduce alcohol consumption (among high-risk drinkers) and use of evidence-based (e.g. prescription medication/face-to-face behavioural support) and remote support [telephone support/websites/applications (apps)] for smoking cessation and alcohol reduction (among smokers/high-risk drinkers who made a quit/reduction attempt). Covariates included age, sex, social grade, region and level of nicotine and alcohol dependence (as relevant). FINDINGS: The COVID-19 lockdown was not associated with a significant change in smoking prevalence [17.0% (after) versus 15.9% (before), odds ratio (OR) = 1.09, 95% CI = 0.95-1.24], but was associated with increases in quit attempts [39.6 versus 29.1%, adjusted odds ratio (ORadj ) = 1.56, 95% CI = 1.23-1.98], quit success (21.3 versus 13.9%, ORadj  = 2.01, 95% CI = 1.22-3.33) and cessation (8.8 versus 4.1%, ORadj  = 2.63, 95% CI = 1.69-4.09) among past-year smokers. Among smokers who tried to quit, there was no significant change in use of evidence-based support (50.0 versus 51.5%, ORadj  = 1.10, 95% CI = 0.72-1.68) but use of remote support increased (10.9 versus 2.7%, ORadj  = 3.59, 95% CI = 1.56-8.23). Lockdown was associated with increases in high-risk drinking (38.3 versus 25.1%, OR = 1.85, CI = 1.67-2.06), but also alcohol reduction attempts by high-risk drinkers (28.5 versus 15.3%, ORadj  = 2.16, 95% CI = 1.77-2.64). Among high-risk drinkers who made a reduction attempt, use of evidence-based support decreased (1.2 versus 4.0%, ORadj  = 0.23, 95% CI = 0.05-0.97) and there was no significant change in use of remote support (6.9 versus 6.1%, ORadj  = 1.32, 95% CI = 0.64-2.75). CONCLUSIONS: Following the March 2020 COVID-19 lockdown, smokers and high-risk drinkers in England were more likely than before lockdown to report trying to quit smoking or reduce alcohol consumption and rates of smoking cessation and use of remote cessation support were higher. However, high-risk drinking prevalence increased post-lockdown and use of evidence-based support for alcohol reduction by high-risk drinkers decreased with no compensatory increase in use of remote support.

Negative Vaccine Attitudes and Intentions to Vaccinate Against Covid-19 in Relation to Smoking Status: A Population Survey of UK Adults.

INTRODUCTION: We examined differences in negative attitudes toward vaccines in general, and intentions to vaccinate against Covid-19 specifically, by smoking status in a large sample of adults in the UK. METHOD: Data were from 29 148 adults participating in the Covid-19 Social Study in September-October 2020. Linear regression analyses examined associations between smoking status (current/former/never) and four types of general negative vaccine attitudes: mistrust of vaccine benefit, worries about unforeseen effects, concerns about commercial profiteering, and preference for natural immunity. Multinomial logistic regression examined associations between smoking status and uncertainty and unwillingness to be vaccinated for Covid-19. Covariates included sociodemographic characteristics and diagnosed health conditions. RESULTS: Relative to never and former smokers, current smokers reported significantly greater mistrust of vaccine benefit, were more worried about unforeseen future effects, had greater concerns about commercial profiteering, and had a stronger preference for natural immunity (Badjs 0.16-0.36, p < .001). Current smokers were more likely to be uncertain (27.6% vs. 22.7% of never smokers, RRadj 1.43 [95% confidence interval = 1.31-1.56]; vs. 19.3% of former smokers, RRadj 1.55 [1.41-1.73]) or unwilling (21.5% vs. 11.6% of never smokers, RRadj 2.12 [1.91-2.34]; vs. 14.7% of former smokers, RRadj 1.53 [1.37-1.71]) to receive a Covid-19 vaccine. CONCLUSIONS: Current smokers hold more negative attitudes toward vaccines in general, and are more likely to be undecided or unwilling to vaccinate against Covid-19, compared with never and former smokers. With a disproportionately high number of smokers belonging to socially clustered and disadvantaged socioeconomic groups, lower vaccine uptake in this group could also exacerbate health inequalities. IMPLICATIONS: These results suggest that without intervention, smokers will be less likely than nonsmokers to take up the offer of a Covid-19 vaccine when offered. Targeted policy action may be required to ensure that low uptake of Covid-19 vaccination programs does not compound health inequalities between smokers and nonsmokers.

Associations between vaping and Covid-19: Cross-sectional findings from the HEBECO study.

AIMS: To explore i) associations between vaping and self-reported diagnosed/suspected Covid-19; ii) changes in vaping since Covid-19 and factors associated with these changes; iii) whether Covid-19 motivated current or recent ex-vapers to quit. METHODS: Cross-sectional online survey of 2791 UK adults recruited 30/04/2020-14/06/2020. Participants self-reported data on sociodemographic characteristics, diagnosed/suspected Covid-19, vaping status, changes in vaping and motivation to quit vaping since Covid-19. RESULTS: There were no differences in diagnosed/suspected Covid-19 between never, current and ex-vapers. Bayes factors indicated there was sufficient evidence to rule out small negative (protective) associations between vaping status and diagnosed/suspected Covid-19. Among current vapers (n = 397), 9.7 % (95 % CI 6.8-12.6 %) self-reported vaping less than usual since Covid-19, 42.0 % (37.2-46.9 %) self-reported vaping more, and 48.3 % (43.4-53.2 %) self-reported no change. In adjusted analyses, vaping less was associated with being female (aOR = 3.40, 95 % CI 1.73-6.71), not living with children (aOR = 4.93, 1.15-21.08) and concurrent smoking (aOR = 8.77, 3.04-25.64), while vaping more was associated with being younger (aOR = 5.26, 1.37-20.0), living alone (aOR = 2.08, 1.14-3.85), and diagnosed/suspected Covid-19 (aOR = 4.72, 2.60-8.62). Of current vapers, 32.2 % (95 % CI 27.5-36.8 %) were motivated to quit vaping since Covid-19, partly motivated by Covid-19, and 21.0 %, (10.5-31.4 %) of recent ex-vapers quit vaping due to Covid-19. CONCLUSIONS: Among UK adults, self-reported diagnosed/suspected Covid-19 was not associated with vaping status. Half of current vapers changed their vaping consumption since Covid-19, with the majority reporting an increase, and a minority was motivated to quit due to Covid-19. REGISTRATION: The analysis plan was pre-registered, and it is available at https://osf.io/6j8z3/.

COVID-19, smoking and inequalities: a study of 53 002 adults in the UK.

BACKGROUND: This study aimed to examine associations between smoking and COVID-19 relevant outcomes, taking into account the influence of inequalities and adjusting for potential confounding variables. METHODS: Cross-sectional data were used from an online study of adults in the UK (n=53 002). Main outcome measures were confirmed and suspected COVID-19, worry about catching or becoming seriously ill from COVID-19 and adherence to protective behaviours. Covariates included age, sex, ethnicity, education (post-16 qualifications: yes/no), key worker status and comorbid health conditions. RESULTS: Compared with never smokers (0.26% (95% CI 0.21% to 0.33%)), prevalence of confirmed COVID-19 was higher among current (0.56% (0.41% to 0.75%)) but not ex-smokers (0.19% (0.13% to 0.28%)). Associations were similar before (current: OR=2.14 (1.49-3.08); ex-smokers: OR=0.73 (0.47-1.14)) and after (current: OR=1.79 (1.22-2.62); ex-smokers: OR=0.85 (0.54-1.33)) adjustment. For current smokers, this was moderated by socio-economic position, with higher rates only seen in those without post-16 qualifications (OR=3.53 (2.04-6.10)). After including suspected cases, prevalence was higher among current smokers (11.2% (10.6% to 11.9%), OR=1.11 (1.03-1.20)) and ex-smokers (10.9% (10.4% to 11.5%), OR=1.07 (1.01-1.15)) than never smokers (10.2% (9.9% to 10.6%)), but remained higher only among ex-smokers after adjustment (OR=1.21 (1.13-1.29)). Current and ex-smokers had higher odds than never smokers of reporting significant stress about becoming seriously ill from COVID-19 (current: OR=1.34 (1.27-1.43); ex-smokers: OR=1.22 (1.16-1.28)). Adherence to recommendations to prevent spread of COVID-19 was high (96.3% (96.1% to 96.4%)), but lower among current than never smokers (OR=0.70 (0.62-0.78)). CONCLUSIONS: In a population sample, current smoking was independently associated with self-reported confirmed COVID-19 infection. There were socio-economic disparities, with the association only apparent among those without post-16 qualifications. Smokers reported lower adherence to guidelines despite being more worried than non-smokers about catching or becoming seriously ill from COVID-19.