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.

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.

Socio-demographic and behavioral variation in barriers to leisure-time physical activity.

INTRODUCTION: We examined the socio-demographic and behavioral determinants of perceived barriers to leisure-time physical activity (LTPA) in a population-based sample of working-aged adults. METHODS: Data comprised the National FINRISK 2002 Study, a population-based health examination study. Analyses were restricted to those aged 25-64 years and who perceived that their amount of LTPA did not reach sufficient levels. They reported barriers to LTPA, defined as a lack of time, motivation and lack of companionship to be active with, as well as high expenses. Age, education, household income, employment status, family type, physical activity, smoking and body mass index (BMI) were included as explanatory variables. RESULTS: Lack of time was the most frequent barrier. Each barrier was explained by a different set of factors that also varied between genders. The strongest and most systematic associations with the barriers were found for age, employment status and family type. Lack of time was less often reported as a barrier among the unemployed, singles without children and older people. Lacking motivation as a barrier was most common among singles without children. High expenses as a barrier was more often reported by the unemployed, and less often reported in the highest income group. CONCLUSIONS: When considering actions to promote LTPA, there is not one single solution, because the perceived barriers vary by population subgroups.

Educational differences in estimated and measured physical fitness.

BACKGROUND: Available information about the association between education and physical fitness (PF) is scarce. The purpose of this study was to examine educational differences in PF in the working age population using different methods to assess PF. METHODS: The Health 2000 Survey was carried out for adults aged ≥ 30 years (n = 8028) in Finland. For this study, 30-54-year-old men and women with data on PF and physical activity (PA) were selected (n = 3724). PF was assessed by self-estimated overall physical fitness and running ability, a physician's estimation of a participant's working capacity, the trunk extensors' endurance and hand grip strength tests. The highest educational qualification taken by the participant was used as a measure of education. The analyses were adjusted for age, PA, BMI, smoking and chronic diseases. RESULTS: PF was best in the high-educated men and women. The educational differences were minor in self-estimated overall PF. Adjusting for the covariates, the differences in self-estimated running ability and working capacity decreased. The educational differences in the trunk extensors' endurance test were independent of covariates. PA and other health behaviours contributed most to the differences. CONCLUSION: People with high education had better PF irrespective of the method used to assess PF. A large amount of the educational differences could be explained by PA and other health behaviours. More research is needed to understand the determinants of educational differences in PF.

Leisure time physical activity in a 22-year follow-up among Finnish adults.

BACKGROUND: The aim of this study was to explore long-term predictors of leisure time physical activity in the general population. METHODS: This study comprised 718 men and women who participated in the national Mini-Finland Health Survey from 1978-1980 and were re-examined in 2001. Participants were aged 30-80 at baseline. Measurements included interviews, health examinations, and self-administered questionnaires, with information on socioeconomic position, occupational and leisure time physical activity, physical fitness, body mass index, smoking, alcohol consumption, and physical functional capacity. Analyses included persons who were working and had no limitations in functional capacity at baseline. RESULTS: The strongest predictor of being physically active at the follow-up was participation in physical activity at baseline, with an OR 13.82 (95%CI 5.50-34.70) for 3 or more types of regular activity, OR 2.33 (95%CI 1.22-4.47) for 1-2 types of regular activity, and OR 3.26 (95%CI 2.07-5.15) for irregular activity, as compared to no activity. Other determinants for being physically active were moving upwards in occupational status, a high level of baseline occupational physical activity and remaining healthy weight during the follow-up. CONCLUSIONS: To prevent physical inactivity among older adults, it is important to promote physical activity already in young adulthood and in middle age and to emphasize the importance of participating in many types of physical activity.

Occupational class differences in leisure-time physical inactivity--contribution of past and current physical workload and other working conditions.

OBJECTIVE: Our aim was to examine the contribution of past and current physical workload to occupational class differences in leisure-time physical inactivity. METHODS: Data were taken from the Finnish population-based Health 2000 Survey of employees aged >or=30 years (N=3355). We assessed physical activity during leisure time using a questionnaire and dichotomized responses to inactive versus active. Occupational class was classified into white- and blue-collar worker. Adjustments were made for current work-related factors, other measures of socioeconomic position, clinically diagnosed chronic diseases, other health behaviors, and history of physical workload. We applied sequential logistic regression to the analyses. RESULTS: Inactivity during leisure time was more common in blue-collar employees than in their white-collar counterparts [women odds ratio (OR) 1.50, 95% confidence interval (95% CI) 1.12-2.00; men OR 1.66, 95% CI 1.30-2.12]. These occupational differences were not due to working hours, work schedule, or chronic diseases. Among women, current job strain decreased the occupational differences in leisure-time physical inactivity slightly (OR 1.37, 95% CI 0.99-1.04). Education and household income contributed to occupational differences for men (OR 1.45, 95% CI 1.02-2.07), but had no additional effect among women. The occupation differences in leisure-time physical inactivity disappeared after adjusting for smoking and body mass index in women (OR 1.33, 95% CI 0.97-1.83) and men (OR 1.27, 95% CI 0.88-1.82) and were further attenuated after adjusting for history of physical workload among men (OR 1.07, 95% CI 0.67-1.72). CONCLUSIONS: Having a long history of exposure to physical work (among men) and a high current job strain (among women) contributed to occupational class differences in leisure-time physical inactivity.

The contribution of childhood circumstances, current circumstances and health behaviour to educational health differences in early adulthood.

BACKGROUND: The life course approach emphasises the contribution of circumstances in childhood and youth to adult health inequalities. However, there is still a lot to know of the contribution of living conditions in childhood and youth to adult health inequalities and how later environmental and behavioural factors are connected with the effects of earlier circumstances. This study aims to assess a) how much childhood circumstances, current circumstances and health behaviour contribute to educational health differences and b) to which extent the effect of childhood circumstances on educational health differences is shared with the effects of later living conditions and health behaviour in young adults. METHODS: The data derived from the Health 2000 Survey represent the Finnish young adults aged 18-29 in 2000. The analyses were carried out on 68% (n = 1282) of the sample (N = 1894). The cross-sectional data based on interviews and questionnaires include retrospective information on childhood circumstances. The outcome measure was poor self-rated health. RESULTS: Poor self-rated health was much more common among subjects with primary education only than among those in the highest educational category (OR 4.69, 95% CI 2.63 to 8.62). Childhood circumstances contributed substantially (24%) to the health differences between these educational groups. Nearly two thirds (63%) of this contribution was shared with behavioural factors adopted by early adulthood, and 17% with current circumstances. Health behaviours, smoking especially, were strongly contributed to educational health differences. CONCLUSION: To develop means for avoiding undesirable trajectories along which poor health and health differences develop, it is necessary to understand the pathways to health inequalities and know how to improve the living conditions of families with children.

Childhood and current determinants of heavy drinking in early adulthood.

AIMS: To explore the association of parental education, childhood living conditions and several adversities with heavy drinking in early adulthood, and to analyze the effect of the respondent's current circumstances on these associations. METHOD: The analyses were conducted in a sample of 1234 adults aged 18-29 years participating in the Finnish Health 2000 Survey (65% of the original representative two-stage cluster sample, N = 1894). The outcome measure was heavy drinking measured by g/week for pure alcohol (for men >or=280 g/week and for women >or=140 g/week). RESULTS: 8% of young adult men and 5% of women were heavy drinkers. In both genders, parental alcohol problems and other childhood adversities, poor own education, and unemployment status increased the risk of heavy drinking. The impact of childhood on heavy drinking was partly independent and partly mediated by adult characteristics, in particular, for both genders, low level of education. CONCLUSIONS: Childhood adversities are associated with heavy drinking in early adulthood among both genders. Childhood social circumstances as well as low educational level and unemployment should be taken into account in planning preventive policies to tackle the harms caused by excessive alcohol use at the individual and population level.

Influence of parental education, childhood adversities, and current living conditions on daily smoking in early adulthood.

AIMS: To assess the association of parental education, childhood living conditions and adversities with daily smoking in early adulthood and to analyse the effect of the respondent's own education, main economic activity, and current family structure on these associations. METHODS: The study is based on a representative two-stage cluster sample (N = 1894, participation rate 79%) of young adults aged 18-29, in 2000, in Finland. The outcome measure is daily smoking. RESULTS: Parental smoking and the respondent's own education had the strongest effects on daily smoking. If both parents of the respondent were smokers, then the respondent was most likely to be a smoker too (for men OR (odds ratio) = 3.01, for women OR = 2.41 after all adjustments). Young adults in the lowest educational category had a much higher risk of daily smoking than those in the highest category (OR = 5.88 for women, 4.48 for men). For women parental divorce (OR = 2.31) and current family structure also determined daily smoking. Parental education had a strong gradient in daily smoking and the effect appeared to be mediated largely by the respondent's own educational level. CONCLUSIONS: Childhood living conditions are strong determinants of daily smoking. Much of their influence seems to be mediated through current living conditions, which are also determined by childhood conditions. Determinants of smoking behaviour are developed throughout the life course. The findings stress the importance of the respondent's education and parental smoking as determinants of smoking behaviour. Our results support the notion that intervention on smoking initiation and cessation should be considered throughout the life course. Parental involvement in fostering non-smoking would be important.