INTRODUCTION The stress and anxiety during this unprecedented public health crisis may lead current smokers to increase tobacco use or former smokers to relapse. Thus, this study aims to provide epidemiological evidence of the changes in smoking behavior among British smokers in response to the COVID-19 pandemic and assess the impact of psychosocial factors on these behaviors. METHODS A nationwide survey of a representative sample of 4075 UK respondents aged >16 years was conducted between 27 April and 24 May 2020 during the COVID-19 pandemic. Psychosocial and demographic variables between different smoking behavior groups were compared using Pearson's χ 2 test and Cramer's V. RESULTS Among current smokers (n=329), one-quarter (25.2%, n=86) reported smoking more than usual, 50.9% (n=174) reported smoking the same amount, and 20.2% (n=69) reported smoking less. Significant associations were observed between different smoking behavior groups and psychosocial factors. Pearson's χ 2 test revealed significant differences between different smoking behavior groups in their concerns about mental health (p<0.001), anxiety (p<0.001) and stress (p<0.001), state of low mood (p=0.012), in the Patient Health Questionnaire (PHQ) score (p=0.018) and ranking on the Cantril Ladder scale (p<0.001). Many respondents expressed that the pandemic had a more negative impact on their mental health and the impact was more pronounced among those who smoked more. CONCLUSIONS Deterioration of mental health and psychosocial well-being were linked to increased smoking. Public health authorities should take proactive measures to provide mental healthcare and smoking cessation support as preventive measures to tackle the pandemic.

Background: Lower socioeconomic groups and disadvantaged populations across the world suffer disproportionately from the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to examine the impact of health- and social-inequality–related factors on well-being in order to further distinguish each of their effects during the pandemic. Methods: A nationally-representative sample of 5077 UK respondents aged 18 years or older was recruited through an online survey panel during the COVID-19 pandemic. Their subjective well-being was measured using the 11-point Cantril Ladder of Life Scale. The impact of inequality-related health and social factors (pre-existing medical conditions, household size and occupation), as well as COVID-19–related risk factors (symptoms, confirmed infections, and social distancing behaviours) on well-being were analysed using multiple linear regression models. The associations between the COVID-19–related risk factors and well-being according to the respondents’ household size and occupation were modelled in order to test the differences by their socioeconomic profile. Results: We identified inverted V-shaped associations between household size and subjective well-being during the COVID-19 pandemic. Compared to single-person households, respondents from households of two to four persons showed better well-being (β = 0.57; CI (0.44, 0.72)), whereas living in crowded households of five persons or more was associated with decreased well-being (β = −0.48; CI (−0.71, −0.25)). Furthermore, lower-skilled occupations (elementary occupations: β = −0.31; CI (−0.58, −0.03); logistics and transport services: β = −0.37; CI (−0.74, −0.01)) and chronic medical conditions (cardiometabolic or respiratory diseases: β = −0.25; CI (−0.41, −0.1); and mental health conditions: β = −1.12; CI (−1.28, −0.96)) were factors associated with reduced well-being during the pandemic. Interactions between a positive COVID-19 diagnosis, symptoms, and crowded households were identified (β = −0.95; CI (−1.76, −0.14) and β = −4.74; CI (−9.87, −1.61), respectively). Conclusions: In a national sample, the levels of general subjective well-being during the COVID-19 pandemic and lockdowns were disproportionately distributed across different groups within society. Preventive policies should explicitly focus on reaching lower socioeconomic groups; more emphasis should be placed on the coordination of multisectoral support in order to tackle existing health and social inequalities.

Introduction Improving understanding of the epidemiology of dual and poly-tobacco product use is essential for tobacco control policy and practice. The present study aimed to systematically review existing epidemiologic evidence on current dual and poly-tobacco use among adults globally. Methods We systematically searched online databases for studies published up to 30 June 2020. We included quantitative studies with measures of nationally representative prevalence of current dual or poly-tobacco use among adults. Prevalence estimates for each country were extracted manually and stratified by WHO regions and World Bank income classifications. Results Twenty studies with nationally representative prevalence data on current dual or poly-tobacco use in the adult population across 48 countries were included. Definitions of dual and poly-tobacco use varied widely. Prevalence of dual and poly-tobacco use was higher in low- and lower-middle-income countries compared to other higher-income countries. Current dual use of smoked and smokeless tobacco products among males ranged from 0.2% in Ukraine (2010) and Mexico (2009) to 17.9% in Nepal (2011). Poly-tobacco use among males ranged from 0.8% in Mexico (2009) and 0.9% in Argentina (2010) to 11.4% in the UK and 11.9% in Denmark in 2012. Dual tobacco use was generally higher in South-East Asia; poly-tobacco use was prevalent in Europe as well as in South-East Asia. Conclusions This is the first systematic review of the prevalence estimates of dual and poly-tobacco use among adults globally. The results of the current study could significantly help health policy makers to implement effective tobacco control policies.

Introduction: The relationship between current cigarette and electronic cigarette (e-cigarette) dual use, exclusive use and COVID-19-related measures are still unclear. This study aims to assess the association between different tobacco use patterns and coronavirus disease 2019 (COVID-19) symptoms, testing, self-reported infection and social distancing behaviors in the United Kingdom (UK). Methods:Data come from the first wave of the Centre for Longitudinal Studies (CLS) COVID-19 survey, comprising four birth cohorts (N = 13,077, aged 20–63 years) surveyed between 2 to 31 May 2020, during the COVID-19 pandemic. Sociodemographic characteristics and COVID-19-related outcomes (symptoms, testing, diagnosis and social distancing behaviors) were compared across different product user groups (non-users, exclusive cigarette users, exclusive e-cigarettes users and dual use) using Cochran–Mantel–Haenszel χ2 test. Multivariable logistic regression models were used to explore associations between COVID-19-related outcomes and different smoking patterns. Results:Across all four cohorts, 12.6% and 4.9% of the respondents were current exclusive cigarette and e-cigarette users, respectively, with approximately 3% of the respondents being dual users. Significant differences in prevalence were observed between different tobacco use patterns and COVID-19 symptoms (p = 0.02), self-reported infection (p = 0.04) and social distancing behaviors (p < 0.001). Current cigarette and e-cigarette dual use was associated with 2.15-fold higher odds for reporting COVID-19 infection (aOR = 2.15; CI [1.15–4.05]). Compliance of social distancing behaviors were the lowest for current dual users (aOR = 0.58; CI [0.41–0.83]) and exclusive cigarette users (aOR = 0.72; CI [0.63–0.92]). Conclusions: The findings highlight dual users’ higher prevalence of having COVID-19 symptoms, infection and incompliance of social distancing behaviors. Self-reported infection was associated with dual product use; dual users and exclusive cigarette users were linked to poor adherence to social distancing behaviors. Smoking cessation support and further monitoring on multiple tobacco use among these populations should be reinforced as preventive measures to tackle the pandemic.

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