Tobacco Use and Uptake of COVID-19 Vaccinations in Finland: A Population-Based Study.

INTRODUCTION: People who smoke are at higher risk of Coronavirus Disease-2019 (COVID-19) hospitalizations and deaths and might benefit greatly from high COVID-19 vaccination coverage. Studies on tobacco use and COVID-19 vaccine uptake in the general population are lacking. AIMS AND METHODS: We conducted a cohort study utilizing linked data from 42 935 participants from two national surveys in Finland (FinSote 2018 and 2020). Exposures were smoking and smokeless tobacco (snus) use. The primary outcome was the uptake of two COVID-19 vaccine doses. Secondary outcomes were the uptake of one COVID-19 vaccine dose; three COVID-19 vaccine doses; time between the first and second dose; and time between the second and third dose. We examined the association between tobacco use and COVID-19 vaccine uptake and between-dose spacing in Finland. RESULTS: People who smoke had a 7% lower risk of receiving two COVID-19 vaccine doses (95% confidence interval [CI] = 0.91; 0.96) and a 14% lower risk of receiving three doses (95% CI = 0.78; 0.94) compared to never smokers. People who smoked occasionally had a lower risk of receiving three vaccine doses. People who currently used snus had a 28% lower uptake of three doses (95% CI = 0.56; 0.93) compared to never users but we did not find evidence of an association for one or two doses. We did not find evidence of an association between tobacco use and spacing between COVID-19 vaccine doses. CONCLUSIONS: People who smoke tobacco products daily, occasionally, and use snus had a lower uptake of COVID-19 vaccines. Our findings support a growing body of literature on lower vaccination uptake among people who use tobacco products. IMPLICATIONS: People who smoke or use snus might be a crucial target group of public health efforts to increase COVID-19 vaccinations and plan future vaccination campaigns. CLINICAL TRIALS REGISTRATION NUMBER: NCT05479383.

Changes in prevalence and sociodemographic correlates of tobacco and nicotine use in Finland during the COVID-19 pandemic.

BACKGROUND: The impact of the coronavirus disease 2019 (COVID-19) pandemic on tobacco and nicotine use remains debated. We examined whether the prevalence of tobacco and nicotine use and nicotine-replacement therapy (NRT) changed during the COVID-19 pandemic and whether changes differed by sociodemographic groups. METHODS: Repeated cross-sectional study of three national surveys in Finland (2018, 2019 and 2020; n = 58 526 adults aged 20 and over). Outcomes were daily and occasional smoking, smokeless tobacco (snus) use, e-cigarettes use, total tobacco or nicotine use and NRT use. We examined changes for each outcome by sex, age, educational tertiles, marital status, mother tongue and social participation. RESULTS: Daily smoking decreased among males by 1.15 percentage points (pp) [95% confidence interval (CI) -2.10 to -0.20] between 2018 and 2020 and 0.86 pp among females (95% CI -1.58 to -0.15). Daily snus use remained stable in both sexes. Daily e-cigarette use was below 1% and remained stable. We found weak evidence of a reduction in total tobacco or nicotine use between 2018 and 2020 (males -1.18 pp, 95% CI -2.68 to 0.32 and females -0.8 pp, 95% CI -1.81 to 0.22). NRT use remained stable. Snus and NRT use decreased among 60- to 74-year-olds but remained stable in other age groups. We did not find evidence of interactions by subgroup for other outcomes. CONCLUSIONS: Daily smoking decreased in Finland between 2018 and 2020, but other forms of tobacco use did not experience a reduction. The COVID-19 pandemic does not seem to have altered the sustained reduction of smoking in Finland, although substantial sociodemographic differences persist.

Current tobacco use and SARS-CoV-2 infection in two Norwegian population-based cohorts.

BACKGROUND: Clear evidence of an increased risk for SARS-CoV-2 infection among smokers has not been established. We aimed to investigate associations between cigarette smoking or use of snus (snuff) and other nicotine-containing products and a positive SARS-CoV-2 test, taking test behavior into account. METHODS: Current tobacco use and testing behavior during the pandemic were recorded by adult participants from the Norwegian Mother, Father and Child Cohort Study and The Norwegian Influenza Pregnancy Cohort. SARS-CoV-2 infection status was obtained from The Norwegian Surveillance System for Communicable Diseases (MSIS) in May 2021 (n = 78,860) and antibody measurements (n = 5581). We used logistic regression models stratified by gender and adjusted for age, education, region, number of household members, and work situation. RESULTS: Snus use was more common among men (26%) than women (9%) and more prevalent than cigarette smoking. We found no clear associations between cigarette smoking or snus and a COVID-19 diagnosis among men. Associations among women were conflicting, indicating that cigarette smoke was negatively associated with a diagnosis (OR 0.51, 95% CI 0.35, 0.75), while no association was found for snus use (OR 1.07, 95% CI 0.86, 1.34). Compared with non-users of tobacco, both cigarette smokers and snus users had increased odds of being tested for SARS-CoV-2. CONCLUSIONS: Cigarette smoking, but not snus use, was negatively associated with SARS-CoV-2 infection in women. The lack of an association between snus use and SARS-CoV-2 infection in this population with prevalent snus use does not support the hypothesis of a protective effect of nicotine.

Does misclassification of former tobacco smokers explain the 'smoker's paradox' in the risk of COVID-19? Insights from the Stockholm Public Health Cohort.

BACKGROUND: The association between tobacco smoking and the risk of COVID-19 and its adverse outcomes is controversial, as studies reported contrasting findings. Bias due to misclassification of the exposure in the analyses of current versus non-current smoking could be a possible explanation because former smokers may have higher background risks of the disease due to co-morbidity. The aim of the study was to investigate the extent of this potential bias by separating non-, former, and current smokers when assessing the risk or prognosis of diseases. METHODS: We analysed data from 43,400 participants in the Stockholm Public Health Cohort, Sweden, with information on smoking obtained prior to the pandemic. We estimated the risk of COVID-19, hospital admissions and death for (a) former and current smokers relative to non-smokers, (b) current smokers relative to non-current smokers, that is, including former smokers; adjusting for potential confounders (aRR). RESULTS: The aRR of a COVID-19 diagnosis was elevated for former smokers compared with non-smokers (1.07; 95% confidence interval (CI) =1.00-1.15); including hospital admission with any COVID-19 diagnosis (aRR= 1.23; 95% CI = 1.03-1.48); or with COVID-19 as the main diagnosis (aRR=1.23, 95% CI= 1.01-1.49); and death within 30 days with COVID-19 as the main or a contributory cause (aRR=1.40; 95% CI=1.00-1.95). Current smoking was negatively associated with risk of COVID-19 (aRR=0.79; 95% CI=0.68-0.91). CONCLUSIONS: Separating non-smokers from former smokers when assessing the disease risk or prognosis is essential to avoid bias. However, the negative association between current smoking and the risk of COVID-19 could not be entirely explained by misclassification.

Tobacco use and risk of COVID-19 infection in the Finnish general population.

Empirical evidence, primarily based on hospital-based or voluntary samples, suggests that current smokers have a lower risk of COVID-19 infection than never smokers. In this study, we used nationally representative data to examine the association between tobacco use and the risk of having a confirmed COVID-19 case. We explored several forms of tobacco use, contributing to separate the role of nicotine from smoking. We used data from 44,199 participants from three pooled national health surveys in Finland (FinSote 2018-2020). The primary outcome was a confirmed COVID-19 case. We examined current smoking, moist smokeless tobacco (snus), e-cigarettes with and without nicotine and nicotine replacement therapy products. Current daily smokers had a relative risk of 1.12 of a confirmed COVID-19 case (95% CI 0.65; 1.94) in fully adjusted models compared with never smokers. Current snus use was associated with a 68% higher risk of a confirmed COVID-19 case (RR 1.68, 95% CI 1.02; 2.75) than never users. We did not find conclusive evidence of associations between e-cigarettes with and without nicotine and nicotine replacement therapy products and the risk of confirmed COVID-19 cases. Our findings suggest that nicotine might not have a protective role in the risk of COVID-19 as previously hypothesized.

Late start of upper secondary education and health-compromising behaviours among Finnish adolescents-a follow-up study.

BACKGROUND: The Finnish government has emphasized the need to expedite educational transitions. We study if a late start of upper secondary education is related to health-related selection, namely health-compromising behaviours in adolescence. METHODS: A large cohort of adolescents from the seventh (12-13 years) and ninth (15-16 years) grades answered online classroom surveys (total n = 10 873). They were followed to the start of upper secondary education, obtained from the Joint Application Registry. We compared those who continued studies directly from the ninth grade with later starters. We measured late bedtime, breakfast not every school day, tooth brushing less than twice-a-day, monthly alcohol consumption, weekly smoking, daily energy drinks, physical activity <6 days/week and excessive screen time. Multilevel logistic regressions and latent class analyses were conducted. RESULTS: In gender and school adjusted models in the seventh grade, all behaviours except physical activity predicted the late start. The strongest predictor was smoking, OR = 2.96 (CI = 2.25-3.89). In the ninth grade, smoking, breakfast, tooth brushing and energy drinks, OR = 1.80, (CI = 1.36-2.39, strongest), were predictive. After controlling for sociodemographic background and academic achievement, associations for alcohol and screen time became non-significant in the seventh grade. In the ninth grade, only screen time remained significant, OR = 1.33 (CI = 1.04-1.71). Health-compromising behaviours formed clusters. Belonging to the unhealthy cluster predicted the late start in both grades, in adjusted models only in the seventh grade. CONCLUSIONS: Students with health-compromising behaviours are less likely to start upper secondary education directly after the compulsory education. This may increase the risk for fragmentary educational trajectories and work careers.

Low schoolwork engagement and schoolwork difficulties predict smoking in adolescence?

Background: Low academic achievement has been associated with smoking but factors behind this association are poorly known. Such factors could include schoolwork disengagement and schoolwork difficulties. To assess the extent to which they contribute to the explanation of how health inequalities emerge, we study in a longitudinal design whether these have an independent effect on smoking or whether their effect is mediated through academic achievement. Methods: Longitudinal data were collected in the Helsinki metropolitan area, Finland in 2011 and 2014. Participants were seventh-graders (12 - 13 years, N=9497). In the follow-up, 6534 students reported their smoking status in the ninth grade (15 - 16 years). Smoking, schoolwork behavioural engagement, i.e. participation in academic activities, and disengagement, schoolwork difficulties and cognitive competence were self-reported by adolescents. Academic achievement was obtained from the Finnish national application register on upper secondary education. A mediation analysis was executed with bootstrapped confidence intervals. Results: Higher schoolwork behavioural engagement and cognitive competence in the seventh grade predicted that adolescents were more likely not to smoke in the ninth grade (all P<0.001) while higher schoolwork disengagement and schoolwork difficulties predicted adolescents' smoking (all P<0.001). The effects were mediated through academic achievement. Conclusions: Students' behavioural disengagement with schoolwork and schoolwork difficulties are risks for smoking initiation. Their effect is mediated through poor school achievement. As smoking often continues in adulthood and poor school performance typically leads to lower education, schoolwork disengagement and difficulties in adolescence constitute potential pathways to inequalities in health.

Smoking in context - a multilevel approach to smoking among females in Helsinki.

BACKGROUND: Smoking is associated with disadvantage. As people with lower social status reside in less privileged areas, the extent of contextual influences for smoking remains unclear. The aims were to examine the spatial patterning of daily smoking within the city of Helsinki, to analyse whether contextual variation can be observed and which spatial factors associate with current daily smoking in the employed female population. METHODS: Data from a cross-sectional questionnaire were collected for municipal employees of Helsinki (aged 40-60 years). The response rate was 69%. As almost 4/5 of the employees are females, the analyses were restricted to women (n = 5028). Measures included smoking status, individual level socio-demographic characteristics (age, occupational social class, education, family type) and statistical data describing areas in terms of social structure (unemployment rate, proportion of manual workers) and social cohesion (proportions of single parents and single households). Logistic multilevel analysis was used to analyse data. RESULTS: After adjusting for the individual-level composition, smoking was significantly more prevalent according to all social structural and social cohesion indicators apart from the proportion of manual workers. For example, high unemployment in the area of domicile increased the risk of smoking by almost a half. The largest observed area difference in smoking - 8 percentage points - was found according to the proportion of single households. CONCLUSION: The large variation in smoking rates between areas appears mainly to result from variation in the characteristics of residents within areas. Yet, living in an area with a high level of unemployment appears to be an additional risk for smoking that cannot be fully accounted for by individual level characteristics even in a cohort of female municipal employees.

Smoking and SF-36 health functioning.

OBJECTIVE: To examine the association between smoking and general health as measured by the Short-Form Health Survey (SF-36) questionnaire. METHODS: Data derived are from three cross-sectional surveys conducted in 2000, 2001 and 2002. Respondents to the postal surveys were middle-aged employees of the City of Helsinki (1799 men and 7171 women, response rate 67%). Smoking status was divided into current heavy and moderate smokers, ex-smokers and never smokers. Health status was measured by the eight SF-36 subscales and the physical and mental component summaries. RESULTS: On the physical subscales, current smokers reported poorer health than non-smokers on general health and physical functioning in men. On the mental subscales, current smokers had consistently poorer health than non-smokers. However, often only heavy smokers differed from non-smokers. No differences were found between ex-smokers and never smokers on any subscale or the component summaries of the SF-36. CONCLUSIONS: Differences between smoking categories were found on some physical and all mental subscales of the SF-36. The differences were slightly larger among men. As heavy smokers more often report limitations with daily activities as well as loss of well-being, these impairments potentially provide valuable incentives for non-smoking to be used in health education messages and interventions.

The contribution of lone parenthood and economic difficulties to smoking.

Smoking is more prevalent among lower socioeconomic status groups, among those who perceive economic difficulties and among lone mothers. Less is known of how these factors contribute to smoking independently. The aim of this study was first to examine the association between smoking and both economic difficulties and lone parenthood. We then also studied to what extent smoking among people experiencing economic difficulties and lone parenthood is due to other factors such as socioeconomic status and social relations. The data derive from surveys conducted among the employees of the City of Helsinki, Finland, in 2000 and 2001 including 6243 respondents aged 40-60 yr (response rate 68%). The measures were daily smoking, economic difficulties and family type, as well as socioeconomic status (education, occupational social class, household income, housing tenure) and social relations. The more had respondents experienced economic difficulties, the more prevalent was their smoking. Smoking among lone parents was more common than among parents living together; this was true for both men and women. After controlling for socioeconomic status and housing tenure, the association between smoking and economic difficulties, as well as that between smoking and lone parenthood, attenuated but remained statistically significant. However, after controlling for social relations the associations became stronger. Both economic difficulties and lone parenthood were associated with smoking independent of education, occupational social class, household disposable income, housing tenure or social relations for both men and women.

Socioeconomic status and smoking: analysing inequalities with multiple indicators.

BACKGROUND AND AIMS: Socioeconomic differences in smoking have been well established. While previous studies have mostly relied on one socioeconomic indicator at a time, this study examined socioeconomic differences in smoking by using several indicators that reflect different dimensions of socioeconomic position. DATA AND METHODS: Data derive from Helsinki Health Study baseline surveys conducted among the employees of the City of Helsinki in 2000 and 2001. The data include 6243 respondents aged 40-60 years (response rate 68%). Six socioeconomic indicators were used: education, occupational status, household income per consumption unit, housing tenure, economic difficulties and economic satisfaction. Their associations with current smoking were examined by fitting sequential logistic regression models. RESULTS: All socioeconomic indicators were strongly associated with smoking among both men and women. When the indicators were examined simultaneously their associations with smoking attenuated, especially when education and occupational status were considered together, and when income and housing tenure were introduced into the models already containing education and occupational status. After mutual adjustment for all socioeconomic indicators, housing tenure and economic satisfaction remained associated with smoking in men. In women, all indicators except income and economic difficulties were inversely associated with smoking after adjustments. CONCLUSIONS: Smoking was associated with structural, material as well as perceived dimensions of socioeconomic disadvantage. Attempts to reduce smoking among the socioeconomically disadvantaged need to target several dimensions of socioeconomic position.