BackgroundThe aim of this study was to assess the less studied interrelationships and pathways between parental BMI, socioeconomic factors, family structure and childhood overweight.MethodsThe cross-sectional LATE-study was carried out in Finland in 2007–2009. The data for the analyses was classified into four categories: younger boys and girls (ca 3–8 years) (n = 2573) and older boys and girls (ca 11–16 years) (n = 1836). Associations between parental BMI, education, labor market status, self-perceived income sufficiency, family structure and childhood overweight were first examined by logistic regression analyses. As parental BMI and education had the most consistent associations with childhood overweight, the direct and indirect (mediated by parental BMI) associations of maternal and paternal education with childhood overweight were further assessed using a path model.ResultsParental BMI and education were the strongest determinants of childhood overweight. Children of overweight parents had an increased risk of being overweight. In younger boys, maternal and paternal education had both direct (b-coefficient paternal −0.21, 95% CI −0.34 to −0.09; maternal −0.17, 95% CI −0.28 to −0.07) and indirect (b-coefficient paternal −0.04, 95% CI −0.07 to −0.02; maternal −0.04, 95% CI −0.06 to −0.02) inverse associations with overweight. Among the older boys, paternal education had both direct (b-coefficient −0.12, 95% CI −0.24 to −0.01) and indirect (b-coefficient −0.03, 95% CI −0.06 to −0.01) inverse associations with overweight, but maternal education had only an indirect association (b-coefficient −0.04, 95% CI −0.07 to −0.02). Among older girls, only an indirect association of maternal education with childhood overweight was found (b-coefficient −0.03, 95% CI −0.06 to −0.01). In younger girls, parental education was not associated with childhood overweight.ConclusionThe observed pathways between parental BMI and education and childhood overweight emphasize a need for evidence-based health promotion interventions tailored for families identified with parental overweight and low level of education.

Background Before the COVID-19 pandemic, people with mobility, vision, hearing, and cognitive disabilities were at a higher risk of lower psychosocial well-being than people without disabilities. It is, therefore, of great importance to investigate whether the pandemic has exacerbated this difference. Objective This study examines whether people with disabilities (categorized as mobility, vision, hearing, cognitive, and any disabilities) report more COVID-19-related negative effects on psychosocial well-being (loneliness, decreased social contact, decreased hope for the future, concerns about being infected) than people without disabilities. Methods We analyzed population-based data from the Finnish Health, Welfare, and Services (FinSote) survey carried out in 2020–2021 (N = 22 165, age 20+). Logistic regression models were applied, controlling for the effects of age, sex, partnership, living alone, and education. Results All disability groups, except those with vision disabilities, reported significantly more often that the pandemic increased loneliness than people without disabilities. There were no significant differences between the disability groups and people without disabilities in decreased social contacts. People with only mobility and cognitive disabilities reported significantly more often that the pandemic decreased their hope for the future than those without disabilities. All disability groups were more often concerned about being infected than people without disabilities, but this effect was not significant among people 75 or older. Conclusion The psychosocial well-being of people with specific types of disabilities should receive special attention during crises like the COVID-19 pandemic.

BackgroundFinland has a long tradition of gathering information about the health and welfare of the adult population.DesignSurveys and administrative registers form the basis for national and local health monitoring in Finland.ResultsDifferent data sources are used in Finland to develop key indicators, which can be used to evaluate how the national health policy targets have been met in different parts of the country and in different population subgroups. Progress has been shown in chronic disease risk factors, such as smoking reduction. However, some health policy targets have not been met. Socioeconomic health differences, for example, have remained large compared with other European countries.ConclusionAlthough data availability for key health indicators is good in Finland, there is a need for wider and more comprehensive use of this information by political decision-makers and healthcare professionals.

Family is an important setting for development of eating behaviour in childhood. The aim of this study was to investigate associations and direct and indirect pathways between family socioeconomic position (SEP) factors, family type and meal patterns in childhood on weekdays (4-6 meals a day, breakfast skipping, and family dinner). The cross-sectional LATE study was carried out in Finland in 2007-2009. Our dataset comprised 2864 school-aged children (aged ca 7-16 years). Associations between parental BMI, education, labor market status, perceived income sufficiency, family type and childhood meal patterns were first examined by bivariate and multivariate regression analyses separately for children (aged 7-11 years; N = 1920) and adolescents (14-16 years; N = 944). To identify direct and indirect pathways between SEP factors, family type and the three meal pattern variables path analysis was performed. The present study showed that family resources in terms of family type and perceived income sufficiency seemed important in meal patterns in childhood. On the other hand the previously reported strong associations between parental education and meal patterns seemed to a large extend to be mediated through family type. Both children and adolescents living in families experiencing income insufficiency had an increased risk of skipping breakfast and not eating the recommended 4-6 meals a day. Family type and especially single-parenthood was associated with breakfast skipping and fewer family dinners in both age groups and with not-recommended meal frequency among children (7-11 y), respectively. This study showed that there are socioeconomic and family type inequalities in meal patterns in childhood and they are more pronounced during childhood compared with adolescence.

Aim: To analyse prevalence and trends in older people’s (60+) alcohol use in Finland in 1993–2018. Data and method: Data on people aged 65+ were obtained from the Health Behaviour and Health among the Finnish Elderly study (HBHFE) for the years 1993–2011 and from its successor the National FinSote Survey for the years 2013–2018. Data for 60–64-year-olds and for the reference group (20–59-year-olds) were obtained from the Health Behaviour and Health among the Finnish Adult Population (HBHFA) study for the years 1993–2011 and from the FinSote study for the years 2013–2018. Four measures were chosen to describe prevalence and trends in drinking patterns in five-year age groups among men and women aged 60+: prevalence of current drinking, prevalence of frequent drinking, typical amounts of drinking and prevalence of heavy episodic drinking (HED). Results: Regarding prevalence of current drinking and frequent drinking, older women have been catching up with men, but older men still consume larger amounts of alcohol per occasion. The long-lasting increase in the prevalence of current drinkers continued in most older female age groups into the 2010s, settled in most older male and some female age groups, and shifted downwards in the oldest male age groups. In most older male and female age groups, the increasing trend in frequent drinking continued to the present. Data on typical amounts consumed and HED were only available for 2013–2018. In that period those measures remained rather stable. Conclusion: More detailed research on drinking patterns among people aged 60+ years is needed for two reasons: older people’s drinking is a new cultural phenomenon and alcohol-related social and health harms are increasing in older age groups.