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.

Early childhood family background predicts meal frequency behaviour in children: Five-year follow-up study.

AIMS: Childhood nutrition patterns have an important role in later health. We studied the role of family type, other family background factors and their changes over a five-year follow-up with respect to meal frequency among children. METHODS: Longitudinal data were collected in 2007-2009 and 2013-2014. A nationally representative sample of Finnish children (n = 1822) aged 0.5-5 years at baseline and 5-10 years at follow-up and their families were used. The participation rate was 83% at baseline and 54% at follow-up. Meal frequency was defined as four to six meals per day. The associations of meal frequency with family background factors over a five-year follow-up period were examined by bivariate and multivariate regression analyses. RESULTS: Eighty-nine per cent of the 5-10-year-old boys and girls had the recommended meal frequency at follow-up. Living in a single-parent family at baseline increased the risk of not eating the recommended number of meals compared with those living in intact families. After adjustments, a mother's low level of education (OR 0.51, CI 0.29-0.93) and a decrease in income sufficiency (OR 0.54, CI 0.35-0.84) during the follow-up period were unfavourably associated with the recommended meal frequency. The difference between children in stable single-parent, reconstituted or joint physical custody families and those living in stable intact families remained significant when controlling for other variables. CONCLUSIONS: Single-parent families with a low socioeconomic position represent important target groups for interventions designed to promote regular meal frequency.

Accumulated Disadvantage over the Lower Secondary School Years in Helsinki Metropolitan Area, Finland.

Accumulated disadvantage (AD) is conceptualised here as an agglomeration of unfavourable or prejudicial conditions which in adolescence may compromise the progress to further education or future life chances. There are several theories on AD, suggesting, e.g., (1) an increase of AD by age and (2) trajectories (previous disadvantage predicts later disadvantage). Social pathways theory suggests that (3) a third factor (e.g., socioeconomic position, SEP) mediates or moderates the association between early and later disadvantage, while other theories imply (4) polarisation (a strengthening association between AD and SEP by age) or (5) equalisation (a weakening of association between AD and SEP). We apply these theories to longitudinal data of 7th graders (13 years, N = 5742), followed until the end of the 9th grade. Five dimensions of disadvantage were health (poor self-rated health), social behaviour (poor prosocial behaviour), normative (conduct disorders), educational (poor academic achievement), and economic (parental unemployment). The results show that the prevalence of AD increased over the follow-up as most indicators of disadvantage elevated. AD at the 7th grade predicted later AD, as did the SEP of the students. Moderation of AD by SEP was also observed. The study corroborates with hypotheses on increase of AD, trajectory, and social pathways but no signs of polarisation or equalisation were observed.

Parental education and adolescent health problems due to violence, self-harm and substance use: what is the role of parental health problems?

BACKGROUND: Adolescent health problems are more prevalent in families with low socioeconomic position, but few studies have assessed the role of parental health in this association. This study examines the extent to which parental health problems, particularly those related to high-risk health behaviour, might explain the association between parental education and adolescent health problems due to violence, self-harm and substance use. METHODS: We used longitudinal register data on a 20% representative sample of all families with children aged 0-14 years in 2000 in Finland with information on parental social background and parental and offspring health problems based on hospital discharge data. We estimated discrete-time survival models with the Karlson-Holm-Breen method on hospital admissions due to violence, self-harm and substance use among adolescents aged 13-19 years in 2001-2011 (n=145 404). RESULTS: Hospital admissions were 2-3 times more common among offspring of basic educated parents than tertiary educated parents. Similar excess risks were observed among those with parental mental health problems and parental health problems due to violence, self-harm and substance use. The OR for offspring of basic educated parents was attenuated from OR 2.73 (95% CI 2.34 to 3.18) to OR 2.38 (2.04 to2.77) with adjustment for parental health problems, particularly those due to violence, self-harm and substance use. Having both low parental education and parental health problems showed simple cumulative effects. CONCLUSIONS: The excess risks of hospital admissions due to violence, self-harm and substance use among adolescents with lower educated parents are largely independent of severe parental health problems.

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.

Childhood adversities and socioeconomic position as predictors of leisure-time physical inactivity in early adulthood.

BACKGROUND: Limited knowledge exists on how childhood social, health-related and economic circumstances predict adult physical inactivity. Our aim was a) to examine how various childhood adversities and living conditions predict leisure-time physical inactivity in early adulthood and b) to find out whether these associations are mediated through the respondent's own education. METHODS: Young adults aged 18-29 were used from the Health 2000 Study of the Finnish. The cross-sectional data were based on interviews and questionnaires including retrospective information on childhood circumstances. The analyses were carried out on 68% of the original sample (N = 1894). The outcome measure was leisure-time physical inactivity. RESULTS: Only a few of the 11 childhood adversities were related with physical activity in early adulthood. Having been bullied at school was associated with physical inactivity independently of the other childhood circumstances and the respondent's own education. Low parental education predicted leisure-time physical inactivity in men and the association was mediated by the respondent's own education. Respondents with only primary or vocational education were more likely to be physically inactive during leisure-time compared with those with secondary or higher education. CONCLUSIONS: There is some evidence that few specific childhood adversities, especially bullying at school, have long-lasting effects on physical activity levels.

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.

A 26-year follow-up study of heavy drinking trajectories from adolescence to mid-adulthood and adult disadvantage.

AIMS: The aim of the study was to identify heavy drinking trajectories from age 16 to 42 years and to examine their associations with health, social, employment and economic disadvantage in mid-adulthood. METHODS: Finnish cohort study's participants who were 16 years old in 1983 were followed up at age 22, 32 and 42 (n = 1334). Heavy drinking was assessed at every study phase and based on these measurements trajectories of heavy drinking were identified. The trajectory groups were then examined as predictors of disadvantage at age 42. RESULTS: Five distinct heavy drinking trajectories were identified: moderate (35%), steady low (22%), decreasing (9%), increasing (11%) and steady high (23%). Frequencies of the trajectory groups differed by gender. Using the moderate trajectory as a reference category, women in the steady high trajectory had an increased risk of experiencing almost all disadvantages at age 42. In men, increasing and steady high groups had an increased risk for experiencing health and economic disadvantage. CONCLUSION: Steady high female drinkers and steady high and increasing male drinkers had the highest risk for disadvantage in mid-adulthood. By identifying heavy drinking trajectories from adolescence to mid-adulthood we can better predict long-term consequences of heavy alcohol use and plan prevention and intervention programmes.

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.

Effects of childhood socio-economic conditions on educational differences in leisure-time physical activity.

BACKGROUND: Our purpose was to assess the direct and indirect contribution of childhood socio-economic conditions to educational differences in leisure-time physical activity among women and men. METHODS: Population-based data were derived from a representative sample of Finns aged >or=30 years (N = 7112) as part of Health 2000 Survey. Multinomial logistic regression analysis was applied. Leisure-time physical activity was divided into inactivity, moderate and high activity. RESULTS: Childhood socio-economic conditions had both a direct and indirect effect through adulthood socio-economic conditions on educational differences in leisure-time physical activity. The direct effect of childhood socio-economic conditions on educational differences in inactivity was stronger than its indirect effects through adulthood socio-economic conditions and other health behaviours and related factors. Adulthood socio-economic conditions had a considerable indirect effect on educational differences in leisure-time physical activity through other adulthood health behaviours and related factors among men. CONCLUSIONS: In order to narrow educational differences in leisure-time physical activity, we should secure a childhood environment that enables a physically active lifestyle, support leisure-time physical activity in diverse occupational groups, guarantee equal physical activity possibilities across different educational careers and support those with insufficient material resources.

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.

Do childhood social circumstances affect overweight and obesity in early adulthood?

AIMS: The aim of the study was to examine the association of childhood circumstances with overweight and obesity in early adulthood, to analyse whether the respondent's education and current circumstances mediate these associations, and to explore whether the respondent's health behaviour affects these associations. DESIGN: This was a cross-sectional study with retrospective inquiries. METHODS: The study was based on a representative two-stage cluster sample (N= 1894, participation rate 79%) of young adults aged 18-29 years in Finland in 2000. The outcome measure was three-class body mass index (BMI) (normal weight, overweight, and obesity). Multinomial logistic regression was used as the main statistical tool. RESULTS: In women, childhood circumstances (low parental education (relative risk ratio (RRR) = 2.43), parental unemployment (RRR= 2.09) and single-parent family (RRR= 1.99)) increased the risk of overweight (25 < or = BMI<30), but the effects were largely attenuated by other childhood factors and early adult circumstances. In men, no significant childhood predictors of overweight were found. Single-parent family (RRR=2.32), parental alcohol problem (RRR= 2.71), parental mental health problems (RRR=2.28) and being bullied at school (RRR=3.13) predicted obesity (BMI > or = 30) in women in the age-adjusted models, and being bullied at school remained a significant predictor after adjusting for all childhood and current determinants. In both genders, the strong association between parental education and obesity remained significant after adjusting for all other determinants (for the lowest educational category, RRR= 3.56 in women, and RRR= 6.55 in men). CONCLUSIONS: Childhood factors predict overweight and obesity in early adulthood. This effect is stronger on obesity than on overweight and in women than in men, and it seems to be partly mediated by adult circumstances. The results emphasize the lasting effect of childhood socioeconomic position on adult obesity. When preventive policies are being planned, social circumstances in childhood should be addressed.

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.

Living arrangements, heavy drinking and alcohol dependence.

AIMS: To assess the variation in heavy drinking and alcohol dependence by living arrangements, and the contribution of social and behavioural factors to this variation. DESIGN: The Health 2000 survey is a nationally representative cross-sectional survey conducted in Finland in 2000-2001 (N = 4589 in the age-range of 30-54 years, response rate 81%). MEASUREMENTS: Living arrangements; married, cohabiting, living with other(s) than a partner, and living alone. Consumption of beer, wine and spirits in the past month was converted into grams of alcohol/week, and heavy drinking was classified as > or =280 (men) and > or =140 (women) grams/week. Twelve-month prevalence of alcohol dependence was diagnosed by a mental health interview (CIDI). FINDINGS: As compared to the married, cohabiting and living alone associated with heavy drinking (age-adjusted OR; 95% CI: 1.71;1.17-2.49 and OR 2.15;1.55-3.00 in men; OR 1.54;0.96-2.46 and OR 1.67;1.07-2.63 in women) and alcohol dependence (OR 2.29;1.44-3.64 and OR 3.66;2.39-5.59 in men; OR 2.56;1.10-5.94 and OR 4.43;2.03-9.64 in women). Living with other(s) than a partner associated with heavy drinking. Those who cohabited without children or lived alone had the highest odds for alcohol dependence. Among both genders, adjusting for main activity and financial difficulties attenuated the odds for heavy drinking and alcohol dependence by approximately 5-30% each, and additionally among women adjusting for urbanisation attenuated the odds for heavy drinking by approximately 15-45%. CONCLUSIONS: Cohabiting and living alone are associated with heavy drinking and alcohol dependence. Unemployment, financial difficulties and low social support, and among women also living in an urban area, seem to contribute to the excess risk.

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.

Determinants of health in early adulthood: what is the role of parental education, childhood adversities and own education?

BACKGROUND: Of the many studies assessing the impact of childhood living conditions on health and health inequalities in adulthood, only few have combined information on current determinants of health with detailed individual level data on different aspects of childhood living conditions and adversities. This study aims (i) to assess the role of parental education, self-reported childhood adversities and family structure as determinants of different dimensions of health in early adulthood, and (ii) to identify the role of the respondent's own education as a modifier of the association between childhood living conditions and health. METHODS: The study is based on a representative sample (n = 3669; participation rate 83%) of young adults aged 18-39 years in 2000 in Finland. The main outcome measures were poor self-rated health (SRH), psychological distress (by GHQ12) and somatic morbidity. RESULTS: Parental education, problems in childhood and the respondent's own education were independently related to SRH and psychological distress. The impact of childhood living conditions on health varied by gender and according to the measure of health. Childhood conditions were strongly associated with poor SRH and psychological distress, whereas the connection with somatic morbidity was weaker. The associations remained relatively unchanged after controlling for the respondent's own education. CONCLUSIONS: Childhood living conditions and adversities are strongly associated with poor SRH and psychological distress in early adulthood. Early recognition of childhood adversities followed by relevant support measures may play an important role in preventing health problems in adulthood.

Childhood adversities as risk factors for adult mental disorders: results from the Health 2000 study.

BACKGROUND: The sex-specific role of stressful or traumatic childhood experiences and adverse circumstances in developing adulthood mental disorders is complex and still in need of comprehensive research. METHODS: Within the Health 2000 project in Finland, a representative sample of 4,076 subjects aged 30-64 years were investigated to examine associations between a set of retrospectively self-reported adverse environmental factors during childhood (0-16 years) and mental disorders diagnosed in the past 12 months by the Munich Composite International Diagnostic Interview. RESULTS: Of the 60% of adults reporting at least one childhood adversity, 17% had a current (past 12 months) mental disorder, compared to 10% of the non-reporters. A moderate dose-response relationship between the total number of adversities and current disorders was observed. Paternal mental health problems associated particularly strongly with male depressive disorders (OR 4.46), and maternal mental health problems with female depressive disorders (OR 3.20). Although seldom reported, maternal alcohol problems associated with alcohol use disorders in both sexes. Being bullied at school and childhood family discord predicted a variety of adulthood disorders in both sexes. All these four adversity items were more typical for depressive disorders with an earlier onset. Among females, more adversities were associated with mental disorders and their statistical significance was greater than among males. CONCLUSIONS: There are marked sex differences and several diagnosis-related patterns in the associations between reported childhood experiences and environmental circumstances and adulthood mental disorders. The impact of adversities is probably composed of a wide range of factors from direct causal associations to complex, interacting environmental effects. Variations in the reported associations reflect the differing genetic and environmental transmission mechanisms of mental disorders.